Fujitsu Limited

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Type PI
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        International 9 602
        Canada 275
        Europe 167
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[Owner] Fujitsu Limited 23 173
Fujitsu Ten Limited 11
Fujitsu Advanced Engineering Limited 11
Fujitsu Quantum Devices Limited 10
Fujitsu Component Limited 9
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Date
Nouveautés (dernières 4 semaines) 96
2021 juin (MACJ) 82
2021 mai 74
2021 avril 103
2021 mars 91
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Classe IPC
H04W 72/04 - Affectation de ressources sans fil 717
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet 607
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales 541
G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement 493
G06F 12/00 - Accès à, adressage ou affectation dans des systèmes ou des architectures de mémoires 452
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Classe NICE
09 - Appareils et instruments scientifiques et électriques 413
42 - Services scientifiques, technologiques et industriels, recherche et conception 321
35 - Publicité; Affaires commerciales 94
38 - Services de télécommunications 75
41 - Éducation, divertissements, activités sportives et culturelles 62
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Statut
En Instance 1 661
Enregistré / En vigueur 21 512
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1.

GENERATING METHOD, NON-TRANSITORY COMPUTER READABLE RECORDING MEDIUM, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 17178877
Statut En instance
Date de dépôt 2021-02-18
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kataoka, Masahiro
  • Toda, Shingo
  • Ariyama, Kota

Abrégé

An information processing apparatus (100) refers to a storage unit that stores information in which a single attribute is assigned to plural words, an occurrence rate of which is lower than a criterion, and identifies first and second vector information of an attribute with which a word extracted from first and second text information is associated. The information processing apparatus (100) generates a conversion model by performing training of parameters of the conversion model such that vector information output when the first vector information is input to the conversion model approaches the second vector information.

Classes IPC  ?

  • G06F 40/58 - Utilisation de traduction automatisée, p.ex. pour recherches multilingues, pour fournir aux dispositifs clients une traduction effectuée par le serveur ou pour la traduction en temps réel
  • G06F 40/51 - Traitement ou traduction du langage naturel Évaluation de la traduction
  • G06F 40/247 - Thésaurus; Synonymes
  • G06N 20/00 - Apprentissage automatique

2.

OPTICAL MODULE

      
Numéro d'application 17089929
Statut En instance
Date de dépôt 2020-11-05
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Matsumura, Takayoshi
  • Kainuma, Norio
  • Kubota, Takashi

Abrégé

An optical module includes a substrate in which a through hole or a recess is formed; a first component that is arranged in the through hole or the recess of the substrate, and is bonded to an inner wall surface of the through hole or the recess by a thermosetting adhesive in a portion of a gap between the first component and the inner wall surface of the through hole or the recess; and a second component that is connected to an electrode on one surface of the first component and an electrode on one surface of the substrate, across the gap between the first component and the inner wall surface of the through hole or the recess.

Classes IPC  ?

  • G02B 6/36 - Moyens de couplage mécaniques
  • G02B 6/38 - Moyens de couplage mécaniques ayant des moyens d'assemblage fibre à fibre
  • G02B 6/42 - Couplage de guides de lumière avec des éléments opto-électroniques

3.

OPTIMIZATION APPARATUS AND METHOD OF CONTROLLING OPTIMIZATION APPARATUS

      
Numéro d'application 17192929
Statut En instance
Date de dépôt 2021-03-05
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Sasaki, Masato
  • Matsuura, Satoshi

Abrégé

An optimization apparatus includes electronic circuits configured to perform calculating, for a plurality of annealing units to which respective states and respective, different temperatures are assigned, respective evaluation function values responsive to the respective states, and causing a transition in the states with probabilities responsive to the temperatures and the evaluation function values, exchanging the temperatures or the states between the plurality of annealing units with predetermined probabilities based on the temperatures and the evaluation function values, and changing a temperature of an annealing unit of interest, such that a probability of exchange between the annealing unit of interest and a first annealing unit situated next thereto on a lower temperature side in a sequence arranged in order of temperature approaches a probability of exchange between the annealing unit of interest and a second annealing unit situated next thereto on a higher temperature side in the sequence.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G06F 7/485 - Addition; Soustraction
  • G06F 5/01 - Procédés ou dispositions pour la conversion de données, sans modification de l'ordre ou du contenu des données manipulées pour le décalage, p.ex. la justification, le changement d'échelle, la normalisation

4.

PACKET PROCESSING APPARATUS AND PACKET PROCESSING METHOD

      
Numéro d'application 17108334
Statut En instance
Date de dépôt 2020-12-01
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Nishimura, Kazuto
  • Rikitake, Nobuhiro

Abrégé

A packet processing apparatus includes a memory, a processor, a first gate, and a second gate. The memory stores a plurality of allocation patterns for allocating an upstream or downstream of a link direction for each subframe within a predetermined period. The processor obtains a periodicity pattern of a high-priority packet for each of time slots within the subframe. The first gate opens and closes, for each of the time slots within the subframe, output of the high-priority packet. The second gate opens and closes, for each of the time slots within the subframe, output of a low-priority packet. The processor sets gate states of the first gate and the second gate for a predetermined time slot within the subframe in the same link direction as the periodicity pattern to a priority state in which the high-priority packet is preferentially output according to the periodicity pattern.

Classes IPC  ?

  • H04W 72/12 - Planification du trafic sans fil
  • H04L 5/14 - Fonctionnement à double voie utilisant le même type de signal, c. à d. duplex

5.

COMPUTER-READABLE RECORDING MEDIUM, INFORMATION PROCESSING APPARATUS, AND DATA GENERATING METHOD

      
Numéro d'application 17122621
Statut En instance
Date de dépôt 2020-12-15
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Tago, Shinichiro
  • Kobayashi, Kenichi
  • Yoshikawa, Hiyori
  • Kobayashi, Kenji
  • Fuji, Masaru

Abrégé

A shortest path searching unit 121 identifies a first group by a shortest path search conducted from a start point node in a forward direction within a first distance and identifies a second group by another shortest path search conducted from an end point node in a reverse direction within a second distance. A feature graph generating unit 122 generates, when sum of a distance of a first shortest path between the start point node and a first node included in the first group and a distance of a second shortest path between the end point node and a second node included in the second group is not more than a threshold obtained by adding a specific distance to a distance of a shortest path between the start point node and the end point node, a feature graph including the first shortest path and the second shortest path.

Classes IPC  ?

6.

NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 17108364
Statut En instance
Date de dépôt 2020-12-01
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kataoka, Masahiro
  • Sakamoto, Nobuhiro
  • Suzuki, Yasuhiro
  • Nishimura, Tetsuya

Abrégé

A method includes: generating first vector data by vector-converting first sentence data from a user input; specifying plural pieces of second sentence data from among a plurality of second sentence data stored in a storage device, each second sentence data including a plurality of vector data, each of the plural pieces of second sentence data including vector data corresponding to the first vector data; and determining data to be output in connection with the first sentence data by using a degree of similarity between second and third vector data, the second vector data being each of vector data other than the first vector data in certain data included in the specified plural pieces of second sentence data, the third vector data being each of vector data other than the first vector data in data other than the certain data included in the specified plural pieces of second sentence data.

Classes IPC  ?

  • G06F 16/2452 - Traduction des requêtes
  • G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 16/248 - Présentation des résultats de requêtes
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06N 20/00 - Apprentissage automatique

7.

INFERENCE METHOD, STORAGE MEDIUM STORING INFERENCE PROGRAM, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 17111555
Statut En instance
Date de dépôt 2020-12-04
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Oki, Yusuke

Abrégé

An inference method is executed by a computer. The method includes: obtaining a learned model in which learning data having non-linear characteristics is learned by supervised learning; creating a decision tree that includes nodes and edges in which intermediate nodes are associated with branch conditions and terminal nodes are associated with clustered learning data; identifying a terminal node associated with classification target data by following the intermediate nodes and the edges of the created decision tree based on the inputted classification target data; and outputting a prediction result obtained by applying the learning data associated with the identified terminal node to the learned model as a prediction result of the identified terminal node.

Classes IPC  ?

  • G06N 5/00 - Systèmes de calculateurs utilisant des modèles basés sur la connaissance
  • G06N 5/04 - Méthodes ou dispositifs inférents
  • G06N 3/02 - Systèmes de calculateurs basés sur des modèles biologiques utilisant des modèles de réseaux neuronaux
  • G06N 20/20 - Techniques d’ensemble en apprentissage automatique

8.

INFORMATION PROCESSING APPARATUS AND SERVICE COST CALCULATION METHOD

      
Numéro d'application 17088198
Statut En instance
Date de dépôt 2020-11-03
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Konno, Kazuya

Abrégé

An information processing apparatus includes: a memory; and a processor coupled to the memory and the processor configured to: acquire charge system information indicating a charge system of each application programming interface (API) called by a service; acquire usage history information indicating a usage history of the service by a user; and calculate a cost for each API based on a number of calls of each API, which is included in the usage history information, and a charge system of each API.

Classes IPC  ?

  • H04L 12/14 - Dispositions pour la taxation
  • H04L 12/24 - Dispositions pour la maintenance ou la gestion
  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
  • G06Q 50/10 - Services

9.

INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING TERMINAL, AND DATA ACCESS CONTROL PROGRAM

      
Numéro d'application JP2019049483
Numéro de publication 2021/124465
Statut Délivré - en vigueur
Date de dépôt 2019-12-17
Date de publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Suzuki, Kosuke
  • Lim, Han Seng

Abrégé

In an information processing terminal (101), when an access operation to access data in a remote storage region has been input by a user, an access control unit (AC) determines the type of the input access operation. If the type of access operation is neither move nor copy, the access control unit (AC) passes the input access operation to a WebDAV virtual driver (VD) via a file system (FS). The WebDAV virtual driver (VD) issues an instruction corresponding to the received access operation to a WebDAV server (102). In contrast, if the type of access operation is move or copy, the access control unit (AC) issues a MOVE or COPY instruction corresponding to the input access operation directly to the WebDAV server (102) without the MOVE or COPY instruction passing through kernel land (KL).

Classes IPC  ?

  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie
  • G06F 11/30 - Surveillance du fonctionnement
  • G06F 16/10 - Systèmes de fichiers; Serveurs de fichiers
  • G06F 21/16 - Traçabilité de programme ou de contenu, p.ex. par filigranage

10.

LOW RATE LOSS BIT-LEVEL DISTRIBUTION MATCHER FOR CONSTELLATION SHAPING

      
Numéro d'application 16721216
Statut En instance
Date de dépôt 2019-12-19
Date de la première publication 2021-06-24
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Kim, Inwoong
  • Vassilieva, Olga I.
  • Palacharla, Paparao
  • Ikeuchi, Tadashi

Abrégé

Systems and methods for constellation shaping using low rate loss bit-level distribution matchers include receiving blocks of input bits and, for each input block of a predetermined size, assigning a respective codeword of a predetermined output block size. The number of bits of a given bit value in the codeword is dependent on a predetermined target probability distribution. A one-to-one mapping exists between each possible combination of input bits and a codeword for input blocks containing the combination. Some codewords include a number of bits having the given bit value that is different than the predetermined target probability distribution, but an average number of bits having the given bit value in the available codewords meets the predetermined target probability distribution. The disclosed methods result in more available codewords and a lower rate loss than in bit-level distribution matchers with a constant modulus, while achieving similar shaping.

Classes IPC  ?

  • H04B 10/69 - Dispositions électriques dans le récepteur
  • H04B 10/516 - Systèmes de transmission utilisant des ondes électromagnétiques autres que les ondes hertziennes, p.ex. les infrarouges, la lumière visible ou ultraviolette, ou utilisant des radiations corpusculaires, p.ex. les communications quantiques Émetteurs - Détails du codage ou de la modulation
  • H04J 14/02 - Systèmes multiplex à division de longueur d'onde
  • G06F 17/18 - Opérations mathématiques complexes pour l'évaluation de données statistiques

11.

SECURE KEY MANAGEMENT

      
Numéro d'application 16723140
Statut En instance
Date de dépôt 2019-12-20
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Mandal, Avradip
  • Roy, Arnab
  • Montgomery, Hart

Abrégé

A method may include obtaining a secret key, a user device secret key, and a server secret key based on the secret key and the user device secret key. The method may include dividing the user device secret key into a plurality of user device shares and the server secret key into a plurality of server shares. The method may include distributing the plurality of user device shares to a plurality of user devices and the plurality of server shares to a plurality of service providers. The method may include obtaining a public key based on the secret key. The method may also include publishing the public key. The method may include obtaining a recovery authority secret key and a recovery vault secret key such that a user may recover an account if the user devices and/or the service providers are compromised.

Classes IPC  ?

  • H04L 9/08 - Répartition de clés
  • G06Q 20/36 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des portefeuilles électroniques ou coffres-forts électroniques
  • G06Q 20/38 - Architectures, schémas ou protocoles de paiement - leurs détails
  • H04L 9/30 - Clé publique, c. à d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégées comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • H04L 9/06 - Dispositions pour les communications secrètes ou protégées l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p.ex. système DES

12.

RECOMMENDING MULTIMEDIA BASED ON USER UTTERANCES

      
Numéro d'application 16719206
Statut En instance
Date de dépôt 2019-12-18
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Mehta, Nikhil
  • Malur Srinivasan, Ramya
  • Chander, Ajay

Abrégé

A method may include obtaining a dialogue of a user and a pre-trained language model. The method may include obtaining a corpus of dialogues and a corpus of response materials. The method may include modifying the pre-trained language model. The method may include identifying a dialogue topic of the dialogue of the user and identifying a set of response topics. The method may include selecting a set of response materials from the corpus of response materials. The method may include determining a first plurality of probabilities and, for each response material of the set of response materials, a respective second plurality of probabilities. The method may include comparing the first plurality of words with each respective second plurality of words associated with each respective response material of the set of response materials. The method may include selecting a response material of the set of response materials based on the comparison.

Classes IPC  ?

  • G10L 15/197 - Grammaires probabilistes, p.ex. n-grammes de mots
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine 
  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
  • G10L 15/10 - Classement ou recherche de la parole utilisant des mesures de distance ou de distorsion entre la parole inconnue et les gabarits de référence

13.

INFORMATION PROCESSING APPARATUS AND UPDATE METHOD

      
Numéro d'application 17085630
Statut En instance
Date de dépôt 2020-10-30
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Matsuo, Naoshi

Abrégé

A non-transitory computer-readable recording medium having stored therein an update program that causes a computer to execute a procedure, the procedure includes calculating a selection rate of each of a plurality of quantization points included in a quantization table, based on quantization data obtained by quantizing features of a plurality of utterance data, and updating the quantization table by updating the plurality of quantization points based on the selection rate.

Classes IPC  ?

  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
  • H04M 3/51 - Dispositions centralisées de réponse aux appels demandant l'intervention d'un opérateur
  • G10L 15/16 - Classement ou recherche de la parole utilisant des réseaux neuronaux artificiels
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine 
  • G10L 19/038 - Quantification vectorielle, p.ex. TwinVQ audio
  • G10L 15/02 - Extraction de caractéristiques pour la reconnaissance de la parole; Sélection d'unités de reconnaissance 
  • G06F 16/23 - Mise à jour
  • G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage

14.

LEARNING METHOD, STORAGE MEDIUM STORING LEARNING PROGRAM, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 17121013
Statut En instance
Date de dépôt 2020-12-14
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Oki, Yusuke

Abrégé

A learning method is executed by a computer. The method includes: obtaining a trained model in which training data having non-linear characteristics is learned by supervised learning using a first teacher label; classifying the training data by using the obtained trained model and calculating a score related to a factor of the obtainment of the classification result for the training data; clustering the training data based on the calculated score; applying a second teacher label based on clusters obtained from the clustering to the training data; and executing supervised learning of a decision tree by using the training data and the applied second teacher label.

Classes IPC  ?

  • G06N 20/00 - Apprentissage automatique
  • G06N 5/00 - Systèmes de calculateurs utilisant des modèles basés sur la connaissance

15.

OPTIMIZATION APPARATUS AND METHOD OF CONTROLLING OPTIMIZATION APPARATUS

      
Numéro d'application 17191756
Statut En instance
Date de dépôt 2021-03-04
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Sasaki, Masato

Abrégé

An optimization apparatus includes hardware circuits configured to function as a random number generator configured to operate either in a first operation mode in which to generate a random number sequence after performing an initialization or in a second operation mode in which to generate a random number sequence without performing the initialization, an annealing calculation unit configured to perform an annealing process by use of random numbers generated by the random number generator, and an operation instruct unit configured to cause the random number generator to start operating in the first operation mode when the annealing calculation unit starts the annealing process, to cause the random number generator to stop operating when the annealing calculation unit, suspends the annealing process, and to cause the random number generator to restart operating in the second operation mode when the annealing calculation unit restarts the annealing process.

Classes IPC  ?

  • G06F 7/58 - Générateurs de nombres aléatoires ou pseudo-aléatoires
  • G06F 7/06 - Dispositions pour le tri, la sélection, l'interclassement ou la comparaison de données sur des supports d'enregistrement individuels

16.

CONTROL METHOD, INFORMATION PROCESSING APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR STORING CONTROL PROGRAM

      
Numéro d'application 17093338
Statut En instance
Date de dépôt 2020-11-09
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Yasaki, Koichi
  • Yamamoto, Dai

Abrégé

A control method implemented by a computer which is configured to be operated as a terminal apparatus, the control method including: transmitting, from the terminal apparatus to a first management server, a first request for transmission of a certificate of a first server, the first server being one of a plurality of servers, the first management server being configured to manage certificates for the plurality of servers; in response to the transmitting of the first request, receiving the certificate of the first server from the first management server; in response to the receiving of the certificate, determining a certificate authority by using information included in the received certificate, the certificate authority being a server from which the received certificate has been issued; and transmitting, from the terminal apparatus to the determined certificate authority, a second request for transmission of first address information on the first server.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
  • H04L 29/12 - Dispositions, appareils, circuits ou systèmes non couverts par un seul des groupes caractérisés par le terminal de données

17.

STORAGE CONTROL DEVICE AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR STORING CONTROL PROGRAM

      
Numéro d'application 17078142
Statut En instance
Date de dépôt 2020-10-23
Date de la première publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Muroyama, Tomohiko
  • Nishizono, Shinichi
  • Oshima, Shoji

Abrégé

A storage control device operable to be one of a plurality of storage control devices included in a storage device, the storage control device includes: a memory; and a processor coupled to the memory, the processor being configured to processing, the processing including: executing a determination processing that includes determining whether activation of the storage control device is caused by activation of the entire storage device or activation of the storage control device alone; and executing a region setting processing that includes setting a control information storage region that stores control information used to enable a function of the storage device according to a determination result by the determination processing.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

18.

JOB PREDICTION PROGRAM, SYSTEM, AND METHOD

      
Numéro d'application JP2019049183
Numéro de publication 2021/124397
Statut Délivré - en vigueur
Date de dépôt 2019-12-16
Date de publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Suzuki, Shigeto

Abrégé

The individual topic distributions of a job to be predicted and past jobs for which IO data are known are calculated on the basis of an overall topic model (21) trained by using job information concerning a plurality of jobs and a large-IO topic model (22) trained by using job information concerning large-IO jobs, which constitutes a subset of the overall topic model, and a first job and a second job having topic distributions with the greatest degrees of similarity with the topic distribution of the job to be predicted are extracted from the past jobs. Of the first job and the second job extracted, the IO data of the job having a topic distribution with a greater degree of similarity is output as a predictive value of the IO data of the job to be predicted, which improves the accuracy of prediction of the amounts of input and output for jobs.

Classes IPC  ?

  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption
  • G06F 17/18 - Opérations mathématiques complexes pour l'évaluation de données statistiques

19.

INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application JP2019049967
Numéro de publication 2021/124535
Statut Délivré - en vigueur
Date de dépôt 2019-12-19
Date de publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kataoka, Masahiro
  • Ohyama, Shogo
  • Onoue, Satoshi

Abrégé

This information processing device embeds a plurality of words in a vector space on the basis of similar word information that associates words which belong to different word classes and which are synonymous or have more than a prescribed degree of similarity. The information processing device calculates a sentence vector for each of a first sentence and a second sentence on the basis of a vector of each word of a plurality of words included in the sentence, said word vector being defined in said vector space. The information processing device determines the similarity between the first sentence and the second sentence on the basis of the vector of the first sentence and the vector of the second sentence.

Classes IPC  ?

  • G06F 16/31 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 16/383 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
  • G06F 16/901 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 16/908 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu

20.

GUARANTEE CONTROL METHOD, INFORMATION PROCESSING DEVICE, AND GUARANTEE CONTROL PROGRAM

      
Numéro d'application JP2019049715
Numéro de publication 2021/124498
Statut Délivré - en vigueur
Date de dépôt 2019-12-18
Date de publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Sakamoto, Takuya

Abrégé

A user device (1) acquires a certificate (210) including multiple pieces of attribute information, transmits hash values of the multiple pieces of attribute information to a data providing device, and discloses first attribute information included in the multiple pieces of attribute information and identifying a person to the data providing device by use of a zero-knowledge proof using the hash values of the multiple pieces of attribute information. The user device (1) receives from the data providing device and transmits to a data using device: provided data corresponding to the first attribute information; the hash values of the multiple pieces of attribute information; and signature information of data including the provided data and also including the hash values of the multiple pieces of attribute information. Using the zero-knowledge proof using the hash values of the multiple pieces of attribute information, the user device (1) discloses, to the data using device, second attribute information included in the multiple pieces of attribute information and desired by the data using device. In this way, the user device (1) can provide a combination of correct data and attribute information, while restricting the disclosure of the attribute information of the person.

Classes IPC  ?

  • H04L 9/32 - Dispositions pour les communications secrètes ou protégées comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

21.

INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application JP2019049664
Numéro de publication 2021/124490
Statut Délivré - en vigueur
Date de dépôt 2019-12-18
Date de publication 2021-06-24
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kataoka, Masahiro
  • Hori, Shinji
  • Matsumura, Ryo
  • Takebe, Nobuyuki

Abrégé

An information processing device according to the present invention extracts a first sentence vector for a plurality of first sentences in a first text. On the basis of the extracted first sentence vector and a second sentence vector of a plurality of second sentences in a second text, the information processing device identifies a second sentence, out of the plurality of second sentences, for which the vector trends differently than for the plurality of first sentences. From the words in the identified second sentence, the information processing device extracts words that match homophones or conjunctions stored in a storage device. The information processing device converts the extracted words to words that are associated with the homophones or conjunctions stored in the storage device to thereby generate a second sentence having a vector trend the same as or similar to that of the plurality of first sentences.

Classes IPC  ?

  • G06F 40/232 - Correction orthographique, p.ex. vérificateurs d’orthographe ou insertion des voyelles
  • G06F 40/247 - Thésaurus; Synonymes
  • G06F 40/268 - Analyse morphologique

22.

ARITHMETIC PROCESSING APPARATUS, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND ARITHMETIC PROCESSING METHOD

      
Numéro d'application 17090940
Statut En instance
Date de dépôt 2020-11-06
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Tsunoda, Yukito
  • Ishihara, Teruo

Abrégé

An arithmetic processing apparatus includes a memory and a processor. The processor coupled to memory and configured to determine an individual not to be evolved to an individual of a second generation from among a plurality of individuals in a first generation based on a predetermined reference for calculation completion of fitness calculation for each of the plurality of individuals, the second generation being a generation next to the first generation, and determine to cause the determined individual to evolve to an individual of a generation next or subsequent to the second generation.

Classes IPC  ?

23.

INFORMATION PROCESSING APPARATUS, SYNCHRONIZATION CONTROL METHOD, AND COMPUTER-READABLE RECORDING MEDIUM RECORDING SYNCHRONIZATION CONTROL PROGRAM

      
Numéro d'application 17102482
Statut En instance
Date de dépôt 2020-11-24
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Takahashi, Akane

Abrégé

An information processing apparatus includes: a memory; and a processor coupled to the memory and configured to: control execution of synchronization processing of data written along with operations of a plurality of processes; refer to the memory in which an allowable time at an execution time of first synchronization processing performed on synchronization target data written along with operations of the plurality of processes; calculate a first data amount for which an executing time of synchronization falls within the allowable time; and perform second synchronization processing on the synchronization target data in response to a fact that a second data amount of the synchronization target data has reached the first data amount.

Classes IPC  ?

  • G06F 16/23 - Mise à jour
  • G06F 9/30 - Dispositions pour exécuter des instructions machines, p.ex. décodage d'instructions
  • G06F 9/52 - Synchronisation de programmes; Exclusion mutuelle, p.ex. au moyen de sémaphores
  • G06F 9/455 - Dispositions pour exécuter des programmes spécifiques Émulation; Interprétation; Simulation de logiciel, p.ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
  • G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuées; Architectures de systèmes de bases de données distribuées à cet effet

24.

DECISION FEEDBACK EQUALIZER CIRCUIT AND SEMICONDUCTOR INTEGRATED CIRCUIT THAT INCLUDES DECISION FEEDBACK EQUALIZER CIRCUIT

      
Numéro d'application 17106236
Statut En instance
Date de dépôt 2020-11-30
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Miura, Yohei

Abrégé

A decision feedback equalizer circuit includes first and second equalizers implemented in parallel. Each equalizer includes: an adder; and a comparator configured to alternatingly perform refreshing and sampling for a differential signal output from the adder. The comparator includes: a differential amplifier configured to output a differential signal having same values in a refresh period, and output a differential signal corresponding to the differential signal output from the adder in a sampling period; and a latch circuit configured to perform a decision operation based on a comparison between two signals that form the differential signal output from the differential amplifier, and to latch a decision result. The adder in the first equalizer controls the differential signal based on the decision in the second equalizer, and the adder in the second equalizer controls the differential signal based on the decision in the first equalizer.

Classes IPC  ?

25.

ELECTRONIC DEVICE, ELECTRONIC APPARATUS, AND METHOD FOR SUPPORTING DESIGN OF ELECTRONIC DEVICE

      
Numéro d'application 17183405
Statut En instance
Date de dépôt 2021-02-24
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Kawai, Kenichi

Abrégé

An electronic device includes: a board that includes an insulating film, a wiring layer and a via provided in the insulating film, and a plurality of power source pads and a plurality of ground pads which are provided in the insulating film so as to surround a capacitor region in which a capacitor is provided and to which a plurality of bumps is coupled; and an electronic component that is mounted at the board, and is electrically coupled to the plurality of power source pads and the plurality of ground pads through the wiring layer and the via.

Classes IPC  ?

  • H01L 23/498 - Connexions électriques sur des substrats isolants
  • H01L 23/64 - Dispositions relatives à l'impédance
  • H05K 1/18 - Circuits imprimés associés structurellement à des composants électriques non imprimés
  • G06F 30/394 - Routage

26.

SIGNAL TRANSMISSION METHOD, SIGNAL RECEPTION METHOD AND APPARATUSES THEREOF

      
Numéro d'application 17183723
Statut En instance
Date de dépôt 2021-02-24
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Chen, Zhe
  • Song, Lei
  • Zhang, Lei
  • Wang, Xin

Abrégé

A signal transmission method, signal reception method and apparatuses thereof. A signal transmission apparatus. The apparatus includes a transmitter configured to, after a period of time of receiving a downlink signal related to beam failure recovery and before receiving or applying activation signaling or reconfiguration signaling, transmit an uplink signal in a first cell by using a spatial domain transmission filter identical to a spatial domain transmission filter transmitting an uplink signal related to beam failure recovery or receiving a downlink reference signal.

Classes IPC  ?

  • H04B 7/06 - Systèmes de diversité; Systèmes à plusieurs antennes, c. à d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées à la station d'émission
  • H04W 76/19 - Rétablissement de connexion
  • H04W 72/04 - Affectation de ressources sans fil
  • H04W 76/11 - Attribution ou utilisation d'identifiants de connexion
  • H04W 76/27 - Transitions entre états de commande de ressources radio [RRC]
  • H04W 74/08 - Accès non planifié, p.ex. accès aléatoire, ALOHA ou accès multiple par détection de porteuse [CSMA Carrier Sense Multiple Access]
  • H04W 80/02 - Protocoles de couche liaison de données

27.

WATER ELECTROLYSIS DEVICE AND WATER ELECTROLYSIS SYSTEM

      
Numéro d'application JP2019048116
Numéro de publication 2021/117096
Statut Délivré - en vigueur
Date de dépôt 2019-12-09
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Yonezawa, Yu
  • Takauchi, Hideki
  • Nakashima, Yoshiyasu

Abrégé

This water electrolysis device comprises: a plurality of water electrolysis cells that are connected in series; a plurality of detection circuits that are respectively provided to the plurality of water electrolysis cells, and that each detect the current flowing in a by-pass circuit connected in parallel to the corresponding water electrolysis cell; and a signal output circuit that outputs a signal when the current value of the current detected by at least one detection circuit among the plurality of detection circuits exceeds a threshold.

Classes IPC  ?

  • C25B 15/02 - Commande ou régulation des opérations
  • H02J 15/00 - Systèmes d'accumulation d'énergie électrique
  • H02J 3/38 - Dispositions pour l'alimentation en parallèle d'un seul réseau, par deux ou plusieurs générateurs, convertisseurs ou transformateurs

28.

BASE STATION, TERMINAL DEVICE, AND WIRELESS COMMUNICATION SYSTEM

      
Numéro d'application JP2019048155
Numéro de publication 2021/117111
Statut Délivré - en vigueur
Date de dépôt 2019-12-09
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Hirata, Akira

Abrégé

A base station (100) is provided with a wireless control device (110) and a wireless device (120). The wireless control device (110) has: a first processor (112) which, when a random access process by a terminal device (200) does not finish normally, determines that a random access setting in the wireless device (120) is to be changed; and a transmission path interface (113) which requests the wireless device (120) to change the random access setting in accordance with the determination by the first processor (112). The wireless device (120) has: a second processor (122) which changes the random access setting in response to the request from the wireless control device (110); and a wireless interface (123) which wirelessly provides notification of the random access setting change by the second processor.

Classes IPC  ?

  • H04W 74/08 - Accès non planifié, p.ex. accès aléatoire, ALOHA ou accès multiple par détection de porteuse [CSMA Carrier Sense Multiple Access]

29.

EVOLUTION CALCULATION PROGRAM FOR PARALLEL CALCULATION, INFORMATION PROCESSING DEVICE, AND EVOLUTION CALCULATION METHOD FOR PARALLEL CALCULATION

      
Numéro d'application JP2019048388
Numéro de publication 2021/117150
Statut Délivré - en vigueur
Date de dépôt 2019-12-11
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Mori, Toshihiko
  • Tsunoda, Yukito

Abrégé

A computation processing device (1) executes evolution calculations for calculating, by parallel processing, the conformity of a plurality of individuals based on a plurality of inputs. The computation processing device (1): calculates, in parallel, the conformity of a plurality of individuals in one generation; if a threshold value is exceeded by a prescribed reference value at the end of a search for an intrinsic solution to be used for calculating the conformity of each individual, ends the calculations for the individual for which the prescribed reference value exceeded the threshold; and imparts an estimated conformity value to the individual for which the calculations were ended. Due to the foregoing, the computation processing device (1) is able to increase the speed of conformity evaluation calculations while maintaining a variety of intrinsic solutions essential to conformity calculations, when performing parallel processing of conformity calculation for each individual in evolution calculation.

Classes IPC  ?

  • G06N 3/12 - Systèmes de calculateurs basés sur des modèles biologiques utilisant des modèles génétiques

30.

GENERATION METHOD, GENERATION PROGRAM, AND INFORMATION PROCESSING SYSTEM

      
Numéro d'application JP2019048515
Numéro de publication 2021/117165
Statut Délivré - en vigueur
Date de dépôt 2019-12-11
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Murakami, Ryo

Abrégé

In the present invention, an information processing device acquires three-dimensional point group data on the basis of a measurement result by a 3D sensor that performs three-dimensional measurement of a subject. On the basis of results obtained by fitting, to the three-dimensional point group data, cylindrical models that respectively express portions of a human body with a plurality of cylinders, the information processing device assesses noise influence on the portions in measurement results. The information processing device repeatedly executes a process of excluding, from the three-dimensional point group data, point groups around a cylindrical model corresponding to the portions on which noise influence is determined to be not less than a predetermined level, and fitting again the cylindrical model to the three-dimensional point group data from which point groups have been excluded. On the basis of the result of fitting the cylindrical model to the three-dimensional point group data in a case where the noise influence of each portion is less than a predetermined level, the information processing device generates a skeleton recognition result of the subject and outputs the skeleton recognition result.

Classes IPC  ?

31.

FUJITSU HXD

      
Numéro de série 90780065
Statut En instance
Date de dépôt 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 41 - Éducation, divertissements, activités sportives et culturelles
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; computer hardware and computer software for artificial intelligence, machine learning, deep learning, data mining and analysis of big data; downloadable computer software for the transmission, recording, reproduction, display, organization, management, manipulation and review of messages, text, images, files, audio, video and audio-visual content for the facilitation of communications between multiple users via computer networks, communication networks and the Internet; downloadable computer software for use as an application programming interface (API) for facilitating voice over internet protocol calls, phone calls, video calls, text messages, instant messages and online social networking services; downloadable computer communication software which enables multiple users to post messages and memoranda, share files, and synchronize calendars; electronic devices for communications, namely, telephones, handsets, headsets, speakers, microphones, earphones, webcams and video cameras; Downloadable computer software enabling users to create and collaborate on digital whiteboards using text, images, audiovisual content, digital documents, and other electronic content; Downloadable computer software enabling users to collaborate on business planning, design thinking, activity planning, personal tasks, and business projects; Downloadable computer software enabling users to view, discuss, modify, comment on, and update documents, text, images, voice, and video content in real time or asynchronously from remote locations; Downloadable computer software for use in group communication and group collaboration; Downloadable webinars in the field of software for use in the creation and editing of collaborative virtual workspaces; Downloadable electronic publications in the nature of e-books, brochures, and templates in the field of software for use in the creation and editing of collaborative virtual workspaces Business management analysis; business consultancy; marketing research; marketing analysis; conducting business research and surveys; providing information concerning commercial sales; business management and organization consultancy; compilation of information into computer databases; providing business assistance to others in the operation of data processing apparatus namely, computers and other similar office machines; consulting services in the fields of data analysis; Business consulting and advisory services in the areas of innovation strategy, innovation and growth management, innovation and growth processes, organizational development, design-thinking, and human-centered design; Business consulting services provided through a global network of consultants, agencies, and facilitators in the field of workplace design, transformation, user experience, business innovation, and software for use in the creation and editing of collaborative virtual workspaces Educational and instruction services relating to arts, crafts, sports or general knowledge; Arranging, conducting and organization of seminars; Providing electronic publications; Reproduction of sound-recorded recording media; Translation through communication by computer terminals and other translation; Publication of electronic books and journals on-line; Providing on-line continuing professional education seminars, workshops; Educational and instruction services, namely, conducting online, virtual and live classes, courses, seminars, conferences, symposiums, workshops, training, teacher training, retreats, events and exhibitions; Educational and instruction services, namely, conducting seminars in the field of methods of increasing creativity and problem identification and resolution; Conducting workshops and seminars in design-thinking, to address strategic business issues and positively impact how work gets done; Developing training systems and learning methodologies for others; Workshops and seminars in the field of design-thinking, to address strategic business issues and positively impact how work gets done; Educational services, namely, conducting classes, seminars, conferences, workshops, mentoring, facilitated problem-solving sessions, field trips, and presentations in the field of design-thinking, human-centered design, problem-solving and distribution of training material in connection therewith Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration; installation of computer software; maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding functions of computer software, and providing information thereon; providing technical information about computers, computer software and computer networks; software as a service (SAAS) services featuring software for operating system programs, for managing telecommunications networks, databases, server systems, and storage systems, for providing access to a global computer network, and for the development and design of web sites; platform as a service (PAAS) featuring computer software platforms which enable multiple users to post messages and memoranda, instant message, share files and synchronize calendars; providing temporary use of non-downloadable cloud-based software for instant messaging, enabling and managing multiple modes of communication over local area networks and the Internet via instant messaging, voice over internet protocol, video conferencing, audio conferencing, computer desktop sharing, file transfer, sensing and providing user presence information, and telephony; Providing online non-downloadable computer software for creating and editing collaborative virtual workspaces; Providing online non-downloadable computer software enabling users to create and collaborate on virtual digital whiteboards using text, images, audiovisual content, digital documents, and other electronic content; Providing online non-downloadable computer software enabling users to collaborate on business planning, design thinking, activity planning, personal tasks, and business projects; Software as a service (SAAS) services enabling users to collaborate on business planning, design thinking, activity planning, personal tasks, and business projects; Software as a service (SAAS) services enabling users to view, discuss, modify, comment on, and update documents, text, images, voice, and video content in real time or asynchronously from remote locations; Software as a service (SAAS) services for use in group communication and group collaboration; Providing a website allowing users to upload, post, organize, share, and distribute digital content and comment and collaborate on virtual digital whiteboards

32.

STORAGE CONTROL DEVICE, STORAGE SYSTEM, AND COMPUTER-READABLE RECORDING MEDIUM

      
Numéro d'application 17083354
Statut En instance
Date de dépôt 2020-10-29
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Yoshida, Taketoshi

Abrégé

A storage control device, includes a processor configured to: dispose original blocks to which data on an object basis is divided and assigned and copy blocks which are copies of the original blocks respectively alternately in storage devices of a distributed storage system in a distributed manner; determine, upon reception of a read request for an object, as a first storage control device out of the storage control devices a read task which collectively reads the original blocks and the copy blocks which belong to the object from one of the storage devices; notify the storage control devices of the read task; upon reception of the read request as the first storage control device, collectively read the original blocks and the copy blocks; and transfer the data of the blocks which have been read to a second storage control device which is the read task for the blocks.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

33.

IMAGE IDENTIFICATION APPARATUS, IMAGE IDENTIFICATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR STORING IMAGE IDENTIFICATION PROGRAM

      
Numéro d'application 17089919
Statut En instance
Date de dépôt 2020-11-05
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Yin, Fang

Abrégé

An image identification apparatus includes: a memory; and a processor coupled to the memory, the processor being configured to perform processing, the processing including: acquiring a contour image where pixels indicating a contour of a subject are extracted from an input image; detecting pixels of 3 points or more over the contour from each of regions in the contour image, which are separated by a predetermined distance in a vertical direction or a horizontal direction; calculating, for each combination of pixels of every 2 points among the detected pixels, an intersection point of a perpendicular bisector of a line segment having 2 points as end points and a distance between the intersection point and one of the detected pixels; and identifying, from the input image, a circle having the intersection point as a center of the circle and the distance as a radius.

Classes IPC  ?

  • G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06K 9/52 - Extraction d'éléments ou de caractéristiques de l'image en déduisant des propriétés mathématiques ou géométriques de l'image complète

34.

BASE STATION AND DEVICE COOLING METHOD

      
Numéro d'application 17104942
Statut En instance
Date de dépôt 2020-11-25
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Hashimoto, Tsubasa
  • Iino, Kazuhiro
  • Sato, Seiichiro
  • Shirakami, Takashi
  • Matsumoto, Hideaki
  • Tomiyama, Takao

Abrégé

A base station includes a first area and a second area that are obtained by partitioning closed space by a partition wall. The first area includes a first device that controls communication and a liquid cooling device that sends a cooled liquid refrigerant to the first device. The second area includes a radiator that cools a liquid refrigerant by performing heat exchange with air, that supplies the cooled liquid refrigerant to the liquid cooling device, and that discharges the air used for heat exchange into the second area, and includes a second device that radiates heat by using the air discharged from the radiator and that performs a wireless process in accordance with control performed by the first device.

Classes IPC  ?

  • H05K 7/20 - Modifications en vue de faciliter la réfrigération, l'aération ou le chauffage

35.

IDENTIFICATION METHOD, INFORMATION PROCESSING DEVICE, AND RECORDING MEDIUM

      
Numéro d'application 17182397
Statut En instance
Date de dépôt 2021-02-23
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kataoka, Masahiro
  • Miyazaki, Toshiya
  • Tomobe, Akihiro

Abrégé

An identification method includes obtaining reference codon sequence data and analysis-target codon sequence data, comparing codons included in the obtained reference codon sequence data and codons included in the obtained analysis-target codon sequence data, at each sequence position of codon, identifying that, based on result of the comparing, includes identifying, from among codons included in the analysis-target codon sequence data, codon positioned at each of a plurality of sequence positions subsequent to sequence position at which codons are nonidentical, and identifying that includes referring to a memory unit configured to store type of mutation, which has occurred at a particular codon included in particular codon sequence data, in a corresponding manner to codon positioned at each of a plurality of sequence positions subsequent to the particular codon, and identifying type of mutation associated to codon positioned at each of the plurality of identified sequence positions, by a processor.

Classes IPC  ?

  • G16B 20/20 - Détection d’allèles ou de variantes, p. ex. détection de polymorphisme d’un seul nucléotide
  • G16B 30/00 - TIC spécialement adaptées à l’analyse de séquences impliquant des nucléotides ou des aminoacides

36.

TERMINAL, WIRELESS COMMUNICATION SYSTEM, AND BASE STATION

      
Numéro d'application 17183875
Statut En instance
Date de dépôt 2021-02-24
Date de la première publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Suda, Kenji

Abrégé

A terminal includes a controller and transmitter. The controller configured to select, based on a result of sensing, a radio resource for transmitting the signal. The transmitter configured to transmit a signal. When the controller detects a predetermined first event, the controller removes a radio resource belonging to a first reserved region from selection targets.

Classes IPC  ?

  • H04W 72/02 - Sélection de ressources sans fil par un usager ou un terminal
  • H04W 28/26 - Réservation de ressources
  • H04W 76/27 - Transitions entre états de commande de ressources radio [RRC]
  • H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons
  • H04W 48/16 - Exploration; Traitement d'informations sur les restrictions d'accès ou les accès
  • H04W 48/00 - Restriction d'accès; Sélection de réseau; Sélection de point d'accès

37.

WATER ELECTROLYSIS SYSTEM AND WATER ELECTROLYSIS DEVICE

      
Numéro d'application JP2019048117
Numéro de publication 2021/117097
Statut Délivré - en vigueur
Date de dépôt 2019-12-09
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Yonezawa, Yu
  • Nakashima, Yoshiyasu

Abrégé

Provided is a water electrolysis system comprising: a power generation device; a water electrolysis cell; and a power converter that converts the power supplied from the power generation device and generates an output voltage to be applied to the water electrolysis cell, wherein the power converter restricts fluctuation of the output voltage to a range equal to or greater than a threshold voltage so that the output voltage does not fall below the threshold voltage of the water electrolysis cell.

Classes IPC  ?

  • C25B 15/02 - Commande ou régulation des opérations
  • H02J 15/00 - Systèmes d'accumulation d'énergie électrique
  • H02J 3/38 - Dispositions pour l'alimentation en parallèle d'un seul réseau, par deux ou plusieurs générateurs, convertisseurs ou transformateurs

38.

RESPONSE PROCESSING PROGRAM, RESPONSE PROCESSING METHOD, INFORMATION PROCESSING DEVICE, AND RESPONSE PROCESSING SYSTEM

      
Numéro d'application JP2019048123
Numéro de publication 2021/117101
Statut Délivré - en vigueur
Date de dépôt 2019-12-09
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Kawakami, Shinichi

Abrégé

An information processing device (101), in response to the start of a chat related to a business system, transmits as a chat conversation to an information processing terminal (102) a URL for accessing an information managing system (104) associated with the business system. The information processing terminal (102) uses the URL thus received to access the information managing system (104) and inputs to the information managing system (104) authorization information (ID/password) used for login to the business system. The information managing system (104) transmits to the information processing terminal (102) a one-time password corresponding to the authorization information thus input. The information processing terminal (102) transmits to the information processing device (101) the one-time password thus received. The information processing device (101) having received the one-time password from the information processing terminal (102) transmits the one-time password to a processing component group (PG) of an RPA corresponding to the business system.

Classes IPC  ?

  • G06F 21/31 - Authentification de l’utilisateur

39.

INFORMATION MANAGEMENT PROGRAM, INFORMATION MANAGEMENT METHOD, INFORMATION PROCESSING DEVICE, AND INFORMATION MANAGEMENT SYSTEM

      
Numéro d'application JP2019048126
Numéro de publication 2021/117102
Statut Délivré - en vigueur
Date de dépôt 2019-12-09
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Hitomi, Yoshihiko

Abrégé

An information processing device (101) transmits, upon receipt of an URL generation request from an information processing terminal (102), an obfuscated URL generation request to a data storage device (103). The data storage device (103) generates an obfuscated URL upon receipt of the obfuscated URL generation request, and transmits the obfuscated URL to the information processing device (101). The information processing device (101) transmits to the information processing terminal (102) the received obfuscated URL as a chatbot conversation regarding an online procedure. When an access is made to the obfuscated URL from the information processing terminal (102), a web app (ap) corresponding to the obfuscated URL is activated, and a data storage operation is performed. Upon receipt through the web app (ap) of an input of personal information that is used for the online procedure, the data storage device (103) stores the personal information in a storage destination folder in a personal information database (150). The personal information database (150) is another memory unit different from a memory unit for storing chat logs.

Classes IPC  ?

  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie
  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès

40.

CONVERSATION CONTROL PROGRAM, CONVERSATION CONTROL METHOD, AND CONVERSATION CONTROL DEVICE

      
Numéro d'application JP2019048519
Numéro de publication 2021/117166
Statut Délivré - en vigueur
Date de dépôt 2019-12-11
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Inoue, Naoya
  • Ishijima, Kiho
  • Ishiguro, Yuki
  • Higashide, Kazuya

Abrégé

In a conversation with a chatbot that provides an inquiry service, this conversation control device determines a script spoken by the chatbot and one or more speaking subject characters, depending on the speech content inputted by the user. A character has associated therewith a role, such as subordinate, manager, specialist or beginner, and an avatar, which is an image of the character. On the basis of the determined script and character, this conversation control device displays a single or multiple avatars and causes said avatars to speak.

Classes IPC  ?

  • G06F 13/00 - Interconnexion ou transfert d'information ou d'autres signaux entre mémoires, dispositifs d'entrée/sortie ou unités de traitement

41.

RESPONSE WORK SUPPORT PROGRAM, RESPONSE WORK SUPPORT DEVICE, AND RESPONSE WORK SUPPORT METHOD

      
Numéro d'application JP2019048535
Numéro de publication 2021/117169
Statut Délivré - en vigueur
Date de dépôt 2019-12-11
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Nakamura, Kazuhiro
  • Shinozaki, Kazuto

Abrégé

The present invention provides an appropriate operator assistance during a response operation in accordance with voice data acquired. This response operation support program causes a computer to execute the processing of: acquiring voice data during a response operation; converting the acquired voice data to text data; identifying data to be retrieved included in the converted text data; and determining, in accordance with the ratio of the data to be retrieved to the text data, whether to perform a text search concerning the data to be retrieved or transition processing to handle the response operation.

Classes IPC  ?

  • H04M 3/42 - Systèmes fournissant des fonctions ou des services particuliers aux abonnés
  • G10L 15/00 - Reconnaissance de la parole
  • G10L 15/10 - Classement ou recherche de la parole utilisant des mesures de distance ou de distorsion entre la parole inconnue et les gabarits de référence
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine 

42.

ANONYMIZATION DATA SELECTION DEVICE, ANONYMIZATION DATA SELECTION METHOD, AND PROGRAM

      
Numéro d'application JP2019048654
Numéro de publication 2021/117183
Statut Délivré - en vigueur
Date de dépôt 2019-12-12
Date de publication 2021-06-17
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Ogura, Takao
  • Yamaoka, Yuji

Abrégé

This anonymization data selection device comprises: a reception unit which receives a selection condition for selecting a level to be applied to personal data, from among a plurality of levels that relate to degrees of anonymization and that match a provision request for the personal data; an identification unit which refers to a storage unit that associates and stores a plurality of sources of personal data and anonymization levels permitted by each of the sources, and identifies, for each of a plurality of levels that match the selection condition, a source that permits the level; and an output unit which outputs information relating to the identification results obtained by the identification unit. This configuration increases the efficiency of processes for providing anonymized data to users.

Classes IPC  ?

  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès
  • G06Q 50/10 - Services

43.

FUJITSU Track and Trust

      
Numéro d'application 211410500
Statut En instance
Date de dépôt 2021-06-15
Propriétaire FUJITSU LIMITED (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

(1) Computers; other electronic machines, apparatus and their parts, namely, computer servers, computer hardware for data storage, and computer peripheral devices, namely, keyboards, mouse, blank smart cards, blank USB cards, blank flash drivers, blank hard disk drives, webcams, monitors, printers, scanners; computer programs, namely, computer software for using blockchain and automation to provide a clear, comprehensive end-to-end record of upstream and downstream supply chains and product lifecycles; computer programs, namely, computer software for managing blockchain transactions using blockchain technology, and computer software for managing and verifying blockchain transactions. (1) Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration; installation of computer software; maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding functions of computer software, and providing information thereon; software as a service (SAAS) services featuring software for using blockchain and automation to provide a clear, comprehensive end-to-end record of upstream & downstream supply chains and product lifecycles; platform as a service (PaaS) featuring computer software platforms for using blockchain and automation to provide a clear, comprehensive end-to-end record of upstream & downstream supply chains and product lifecycles; ; software as a service (SAAS) services featuring software for managing blockchain transactions using blockchain technology, managing and verifying blockchain transactions; platform as a service (PaaS) featuring computer software platforms for managing blockchain transactions using blockchain technology, managing and verifying blockchain transactions; cloud computing, namely, providing temporary use of non-downloadable cloud-based software; providing technical information about computers, computer software and computer networks.

44.

FUJITSU Computer Vision

      
Numéro d'application 018490491
Statut En instance
Date de dépôt 2021-06-12
Propriétaire FUJITSU LIMITED (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; computer software. Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration; installation of computer software; maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding functions of computer software, and providing information thereon; software as a service (SAAS); computer system consulting and advisory services; providing temporary use of non-downloadable cloud-based software; providing technical information about computers, computer software and computer networks; platform as a service (PaaS).

45.

FUJITSU COMPUTER VISION

      
Numéro de série 90768868
Statut En instance
Date de dépôt 2021-06-11
Propriétaire Fujitsu Limited (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; downloadable computer software for using image recognition; downloadable computer software for automating, analyzing, interpreting the detection and identification of valuable data captured from images, video and 3D data Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration; installation of computer software; maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding functions of computer software, and providing information thereon; providing technical information about computers, computer software and computer networks; software as a service (SAAS) services featuring software for using image recognition; computer software and computer networks; software as a service (SAAS) services featuring software for automating, analyzing, interpreting the detection and identification of valuable data captured from images, video and 3D data; platform as a service (PaaS) featuring computer software platforms for using image recognition; platform as a service (PaaS) featuring computer software platforms for automating, analyzing, interpreting the detection and identification of valuable data captured from images, video and 3D data; providing temporary use of non-downloadable cloud-based software for using image recognition; providing temporary use of non- downloadable cloud-based software for automating, analyzing, interpreting the detection and identification of valuable data captured from images, video and 3D data

46.

HEAT DISSIPATION SHEET AND METHOD OF MANUFACTURING HEAT DISSIPATION SHEET

      
Numéro d'application 16952130
Statut En instance
Date de dépôt 2020-11-19
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Hirose, Shinichi
  • Kondo, Daiyu

Abrégé

A heat dissipation sheet includes a carbon material layer configured to include a plurality of linear carbon materials arranged in parallel with each other, an adhesive resin layer configured to include a first surface to be in contact with an end of each of the plurality of linear carbon materials, a thickness of the adhesive resin layer being less than 1 μm, and a release sheet configured to be in contact with a second surface among a plurality of surfaces of the adhesive resin layer, the second surface being over a side opposite to the first surface.

Classes IPC  ?

  • F28F 21/02 - Structure des appareils échangeurs de chaleur caractérisée par l'emploi de matériaux spécifiés de carbone, p.ex. de graphite
  • F28F 3/00 - Eléments en forme de plaques ou de laminés; Ensembles d'éléments en forme de plaques ou de laminés
  • B32B 7/06 - Liaison entre couches permettant une séparation sans difficultés
  • B32B 7/12 - Liaison entre couches utilisant des adhésifs interposés ou des matériaux interposés ayant des propriétés adhésives
  • B32B 9/04 - Produits stratifiés composés essentiellement d'une substance particulière non couverte par les groupes comprenant une telle substance comme seul composant ou composant principal d'une couche adjacente à une autre couche d'une substance spécifique

47.

SEMICONDUCTOR DEVICE, MANUFACTURING METHOD THEREOF, AND AMPLIFIER

      
Numéro d'application 17078139
Statut En instance
Date de dépôt 2020-10-23
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Makiyama, Kozo

Abrégé

A semiconductor device includes a first semiconductor layer formed of a nitride semiconductor over a substrate; a second semiconductor layer formed of a nitride semiconductor over the first semiconductor layer; a gate electrode formed over the second semiconductor layer; a source electrode and a drain electrode formed over the first semiconductor layer or the second semiconductor layer; a first region of an insulative film that is formed between the gate electrode and the source electrode over the second semiconductor layer, and contains positive charges; and a second region of the insulative film that is formed between the gate electrode and the drain electrode over the second semiconductor layer, and contains negative charges.

Classes IPC  ?

  • H01L 29/08 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices avec des régions semi-conductrices connectées à une électrode transportant le courant à redresser, amplifier ou commuter, cette électrode faisant partie d'un dispositif à semi-conducteur qui comporte trois électrodes ou plus
  • H01L 29/786 - Transistors à couche mince
  • H01L 29/40 - Electrodes
  • H01L 29/778 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à deux dimensions, p.ex. transistors à effet de champ à haute mobilité électronique HEMT
  • H01L 29/66 - Types de dispositifs semi-conducteurs
  • H01L 21/02 - Fabrication ou traitement des dispositifs à semi-conducteurs ou de leurs parties constitutives

48.

INTEGRATED CIRCUIT (IC) TAG

      
Numéro d'application 17080889
Statut En instance
Date de dépôt 2020-10-27
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Tajima, Shinichi
  • Masuda, Yasushi
  • Yamada, Tetsuro
  • Yamaguchi, Atsushi

Abrégé

An integrated circuit (IC) tag includes: an IC chip; a substrate that is provided with an antenna on a first surface; an adhesive portion configured to adhere a side surface of the IC chip and a peripheral of the IC chip in a state that a terminal of the IC chip is electrically coupled to the antenna; and a first member that is provided between the antenna and the adhesive portion, the first member having an elastic modulus higher than an elastic modulus of the antenna.

Classes IPC  ?

  • H01L 23/31 - Capsulations, p.ex. couches de capsulation, revêtements caractérisées par leur disposition
  • H01L 23/66 - Adaptations pour la haute fréquence
  • H01L 23/00 - DISPOSITIFS À SEMI-CONDUCTEURS; DISPOSITIFS ÉLECTRIQUES À L'ÉTAT SOLIDE NON PRÉVUS AILLEURS - Détails de dispositifs à semi-conducteurs ou d'autres dispositifs à l'état solide

49.

DATA PROCESSING APPARATUS, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND DATA PROCESSING METHOD

      
Numéro d'application 17095788
Statut En instance
Date de dépôt 2020-11-12
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Uno, Tomohiro
  • Furuta, Tomonori

Abrégé

A data processing apparatus includes a memory configured to store a bit array including a first Bloom filter associating with a first subset containing a data element matching a first classification condition and a second Bloom filter associating with a second subset containing a data element matching a second classification condition, and a processor configured to, when a first data element to be a search target is inputted, determine whether the same data element as the first data element is present in the first subset by using the first Bloom filter, determine whether the same data element as the first data element is present in the second data subset by using the second Bloom filter, and when all the data elements contained in the first subset are deleted, delete the first Bloom filter from the bit array.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

50.

NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, MALWARE INSPECTION SUPPORT METHOD, AND COMMUNICATION DEVICE

      
Numéro d'application 17101293
Statut En instance
Date de dépôt 2020-11-23
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Yoshimura, Kunihiko

Abrégé

A non-transitory computer-readable storage medium storing a generation program that causes a processor to execute a process. The process includes, when malware is detected in a first processing device belonging to a first system, changing a destination address of packets transmitted from the first processing device to an address corresponding to a second processing device belonging to a second system based on a predetermined rule to transmit the packets to the second processing device that belongs to the second system, executing a generation process that, based on log information generated in the first system, generate at least one of a fake file of a file related to the first system, a fake email of an email related to the first system, or fake communication information of communication information related to the first system, and transmitting the generated fake file or fake communication information to the second processing device.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole

51.

COMMUNICATION APPARATUS AND RADIO COMMUNICATION SYSTEM

      
Numéro d'application 17182524
Statut En instance
Date de dépôt 2021-02-23
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Hirata, Akira

Abrégé

A communication apparatus is configured to perform processing, the processing including: executing an addition processing configured to add identification information for identifying report information to processed report information obtained by performing processing corresponding to a type of the report information on the report information received from a higher-level network; and executing a transmission processing configured to transmit the processed report information to which the identification information is added by the addition unit to a second communication apparatus coupled to a radio link.

Classes IPC  ?

  • H04W 72/04 - Affectation de ressources sans fil
  • H04W 72/10 - Affectation de ressources sans fil sur la base de critères de priorité
  • H04W 72/12 - Planification du trafic sans fil
  • H04W 16/32 - Structures hiérarchisées des cellules
  • H04W 8/08 - Transfert de données de mobilité

52.

DATA GENERATION PROGRAM AND METHOD

      
Numéro d'application JP2019047909
Numéro de publication 2021/111630
Statut Délivré - en vigueur
Date de dépôt 2019-12-06
Date de publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Suzuki, Shigeto

Abrégé

The present invention makes it possible to improve the prediction accuracy of a prediction model. Data padding using a Box-Cox transformation is carried out from the number n of waveform data included in each cluster to a number X at which VAE can be applied, after which data padding using VAE is carried out up to a desired number N per cluster. For each of a plurality of X values, a Gaussian process is applied to a change in the degree of similarity of a first waveform data group (obtained by generating waveform data up to X by means of the BOX-COX transformation and then generating waveform data up to N by means of VAE) and a second waveform data group (obtained by generating waveform data up to N only by means of VAE) with respect to the values of X, and an optimal X is retrieved and determined.

Classes IPC  ?

53.

GRAPH EQUATION MODELING FOR MATHEMATICAL EQUATION DECOMPOSITION AND AUTOMATED CODE GENERATION

      
Numéro d'application 16704970
Statut En instance
Date de dépôt 2019-12-05
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Bahrami, Mehdi
  • Chen, Wei-Peng

Abrégé

A method of performing graph equation modeling. The method includes receiving an input of a mathematical equation from a user via a user interface. The method also includes using a processor, performing processing on the input of the mathematical equation to decompose the mathematical equation into a plurality of tokens to generate an equation graph corresponding to the mathematical equation. The method also includes automatically generating computer code for a user-specified computing language based on the equation graph. The method also includes causing the automatically generated computer code to be presented to the user via the user interface, the automatically generated computer code corresponding to the inputted mathematical equation defined in a computing environment.

Classes IPC  ?

  • G06N 7/00 - Systèmes de calculateurs basés sur des modèles mathématiques spécifiques
  • G06F 17/15 - Calcul de fonction de corrélation
  • G06F 16/901 - Indexation; Structures de données à cet effet; Structures de stockage

54.

ANALYSIS DEVICE, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR ANALYSIS PROGRAM, AND COMPUTER SYSTEM

      
Numéro d'application 17072072
Statut En instance
Date de dépôt 2020-10-16
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kodama, Hiroyoshi
  • Kazama, Satoshi

Abrégé

An analysis device configured to be connected to an information processing apparatus configured to mount a first memory and a low-speed second memory, the low-speed second memory being cheaper and having lower performance than the first memory and being used for memory capacity expansion, the analysis device being configured to perform program instructions including: causing the information processing apparatus to execute a plurality of types of performance evaluation application programs and acquire memory performance characteristic information regarding each performance evaluation application program from the information processing apparatus; determining a recommended memory configuration according to the performance evaluation application program corresponding to the application to be evaluated program among the plurality of types of performance evaluation application programs by using a collection result of the memory performance characteristic information; and outputting recommended memory configuration information indicating the recommended memory configuration to an output destination.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

55.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

      
Numéro d'application 17102478
Statut En instance
Date de dépôt 2020-11-24
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Fukumoto, Naoto

Abrégé

An information processing apparatus, includes a memory; and a first processor coupled to the memory and configured to: identify a maximum operating frequency of each of a plurality of second processors, when executing a plurality of processes to be subjected to parallel processing by the plurality of second processors, measure a load value representing a magnitude of a load of each of the plurality of processes, and determine, based on the identified maximum operating frequency of each of the plurality of second processors and the measured load value of each of the plurality of processes, a specific processor as an assignment destination of each of the plurality of processes from the plurality of second processors.

Classes IPC  ?

  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie
  • G06F 11/30 - Surveillance du fonctionnement
  • G06F 9/38 - Exécution simultanée d'instructions
  • G06F 9/54 - Communication interprogramme

56.

OPTIMIZATION DEVICE AND METHOD OF CONTROLLING OPTIMIZATION DEVICE

      
Numéro d'application 17178290
Statut En instance
Date de dépôt 2021-02-18
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Mishina, Takeshi
  • Matsuura, Satoshi

Abrégé

An optimization device includes: a memory; and a processor configured to: calculate, as bit operations, when any bit in a bit string representing a state of an Ising model is inverted, an energy change value of the Ising model based on a coefficient indicating magnitude of an interaction between an own bit and the inverted bit in the bit string; output a first signal indicating inversion availability of the own bit according to the energy change value and a second signal indicating the energy change value; select the bit to be inverted in the bit string and the energy change value corresponding to the bit based on the first signal and the second signal; output a fourth signal indicating the selected energy change value; and calculate energy of the Ising model based on the energy change value indicated by the fourth signal.

Classes IPC  ?

57.

OPTIMIZATION DEVICE, OPTIMIZATION DEVICE CONTROL METHOD, AND COMPUTER-READABLE RECORDING MEDIUM RECORDING OPTIMIZATION DEVICE CONTROL PROGRAM

      
Numéro d'application 17179458
Statut En instance
Date de dépôt 2021-02-19
Date de la première publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Mishina, Takeshi
  • Tani, Yoshimasa
  • Matsuura, Satoshi

Abrégé

An optimization device includes: a memory; and a processor and configured to: store a coefficient indicating magnitude of an interaction between bits in a bit string representing a state of an Ising model; output, when any bit in the bit string is inverted, a signal indicating inversion availability of an own bit according to calculation of energy change in the Ising model using the coefficient corresponding to the inverted bit and the own bit read from the memory as bit operations; output a signal indicating a bit to be inverted in the bit string selected on the basis of the signal indicating inversion availability output from bit operations of a first number of bits of the bit string, of the bit operations; and change the first number of bits and change a second number of bits of the coefficient for each bit operations of the first number of bits.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G06N 7/08 - Systèmes de calculateurs basés sur des modèles mathématiques spécifiques utilisant des modèles de chaos ou des modèles de systèmes non linéaires

58.

CLASS GENERATION PROGRAM AND CLASS GENERATION METHOD

      
Numéro d'application JP2019046992
Numéro de publication 2021/111496
Statut Délivré - en vigueur
Date de dépôt 2019-12-02
Date de publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kurihara, Koji
  • Kawakami, Kentaro
  • Saito, Moriyuki

Abrégé

A class generation program for causing a computer to perform: a process S13 for referring to a storage unit 53 which stores first classes that each represent a first format relating to a vector register vn, second classes that each represent a second format relating to the vector register vn and inherit a first class, and lexical tokens in association with each other, and acquiring a first class, a second class, and a lexical token that are associated with each other; and a process S15 for generating, within the acquired first class, either a first code 77 for generating an instance of the acquired second class, or a second code 78 that overloads the acquired lexical token, depending on the acquired lexical token.

Classes IPC  ?

  • G06F 9/448 - Paradigmes d’exécution, p.ex. implémentation de paradigmes de programmation

59.

EVALUATION METHOD, EVALUATION PROGRAM, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application JP2019047358
Numéro de publication 2021/111540
Statut Délivré - en vigueur
Date de dépôt 2019-12-04
Date de publication 2021-06-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Shimizu, Toshiya

Abrégé

The present invention makes it possible to appropriately evaluate aggressiveness of training data against machine learning. On the basis of a set (1) of a plurality of pieces of training data (1a, 1b, ...) including pairs comprising input data and labels for machine learning, this information processing device (10) generates a plurality of partial sets (3a, 3b) including one or more of the pieces of training data. The information processing device (10) then carries out, for each of the partial sets (3a, 3b), machine learning using the pieces of training data included in the partial sets (3a, 3b) and thereby generates trained models (4a, 4b) for estimating the label from the input data. The information processing device (10) then carries out, for each of the partial sets (3a, 3b), an evaluation relating to aggressiveness of the pieces of training data included in the partial sets (3a, 3b) against machine learning, on the basis of the precision of estimation by the trained models (4a, 4b).

Classes IPC  ?

  • G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p.ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
  • G06N 20/00 - Apprentissage automatique

60.

DIGITAL TWIN PLATFORM ON-SITE

      
Numéro de série 90762916
Statut En instance
Date de dépôt 2021-06-09
Propriétaire Fujitsu Limited (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 38 - Services de télécommunications
  • 39 - Services de transport, emballage et entreposage; organisation de voyages
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; computer software Consultancy services relating to mobility data; data processing; compilation and systemization of information into computer databases Communications by computer terminals; telecommunication gateway services; telecommunications routing and junction services; providing access to distributed databases; electronic data transmission; data transmission and reception services via telecommunication means; electronic exchange of data stored in databases accessible via telecommunication networks; providing communication data routing services (that apply optimum communication paths in an electronic communication network); network traffic routing services; network load balancing services Providing traffic and road information; providing information on vehicle positions on the road; tracking, locating and monitoring of vehicles Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration, installation of computer software, maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding of functions for computer software, and providing information thereon; software as a service (SAAS) services; computer system consulting and advisory services

61.

Digital Twin Platform On-site

      
Numéro d'application 018488575
Statut En instance
Date de dépôt 2021-06-09
Propriétaire FUJITSU LIMITED (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 38 - Services de télécommunications
  • 39 - Services de transport, emballage et entreposage; organisation de voyages
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; computer software. Consultancy services relating to mobility data; data processing; compilation and systemization of information into computer databases. Communications by computer terminals; telecommunication gateway services; telecommunications routing and junction services; providing access to distributed databases; electronic data transmission; data transmission and reception services via telecommunication means; electronic exchange of data stored in databases accessible via telecommunication networks; providing communication data routing services (that apply optimum communication paths in an electronic communication network); network traffic routing services; network load balancing services. Providing traffic and road information; providing information on vehicle positions on the road; tracking, locating and monitoring of vehicles. Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration, installation of computer software, maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding of functions for computer software, and providing information thereon; software as a service (SAAS) services; computer system consulting and advisory services.

62.

FUJITSU DATA INTELLIGENCE

      
Numéro de série 90762741
Statut En instance
Date de dépôt 2021-06-08
Propriétaire Fujitsu Limited (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; downloadable computer software for using artificial intelligence to analyze and visualize data Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration; installation of computer software; maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding functions of computer software, and providing information thereon; providing technical information about computers, computer software and computer networks; software as a service (SAAS) services featuring software for using artificial intelligence to analyze and visualize data; platform as a service (PaaS) featuring computer software platforms for using artificial intelligence to analyze and visualize data; providing temporary use of non-downloadable cloud-based software for using artificial intelligence to analyze and visualize data

63.

Optical system for compensating for signal loss

      
Numéro d'application 16744908
Numéro de brevet 11032004
Statut Délivré - en vigueur
Date de dépôt 2020-01-16
Date de la première publication 2021-06-08
Date d'octroi 2021-06-08
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Akasaka, Youichi
  • Ikeuchi, Tadashi

Abrégé

An optical system including a forward and a backward Raman pump module positioned along a transmission fiber; a noise matrix computing module configured to: determine, for first gains of the optical signal, a first noise associated with the first gain of the forward Raman pump; determine, for second gains of the optical signal, a second noise associated with the second gain of the backward Raman pump module; generate a noise matrix based on i) the first noise for each first gain of the forward Raman pump module and ii) the second noise for each second gain of the backward Raman pump module; identify a span loss of the optical signal as the optical signal is transmitted along the transmission fiber; identify a combination of a particular first gain of the forward Raman pump module and a particular second gain of the backward Raman pump module.

Classes IPC  ?

  • H04B 10/2507 - Dispositions spécifiques à la transmission par fibres pour réduire ou éliminer la distorsion ou la dispersion
  • H04J 14/02 - Systèmes multiplex à division de longueur d'onde
  • H04B 10/079 - Dispositions pour la surveillance ou le test de systèmes de transmission; Dispositions pour la mesure des défauts de systèmes de transmission utilisant un signal en service utilisant des mesures du signal de données
  • H04B 10/25 - Dispositions spécifiques à la transmission par fibres

64.

DIGITAL TWIN PLATFORM

      
Numéro de série 90762029
Statut En instance
Date de dépôt 2021-06-08
Propriétaire Fujitsu Limited (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 38 - Services de télécommunications
  • 39 - Services de transport, emballage et entreposage; organisation de voyages
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; computer software Consultancy services relating to mobility data; data processing; compilation and systemization of information into computer databases Communications by computer terminals; telecommunication gateway services; telecommunications routing and junction services; providing access to distributed databases; electronic data transmission; data transmission and reception services via telecommunication means; electronic exchange of data stored in databases accessible via telecommunication networks; providing communication data routing services (that apply optimum communication paths in an electronic communication network); network traffic routing services; network load balancing services Providing traffic and road information; providing information on vehicle positions on the road; tracking, locating and monitoring of vehicles Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration, installation of computer software, maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding of functions for computer software, and providing information thereon; software as a service (SAAS) services; computer system consulting and advisory services

65.

FUJITSU TRACK AND TRUST

      
Numéro de série 90762781
Statut En instance
Date de dépôt 2021-06-08
Propriétaire Fujitsu Limited (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; downloadable computer software for using blockchain and automation to provide a clear, comprehensive end-to-end record of upstream and downstream supply chains and product lifecycles; downloadable computer software for managing blockchain transactions using blockchain technology, managing and verifying blockchain transactions Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration; installation of computer software; maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding functions of computer software, and providing information thereon; providing technical information about computers, computer software and computer networks; software as a service (SAAS) services featuring software for using blockchain and automation to provide a clear, comprehensive end-to-end record of upstream and downstream supply chains and product lifecycles; platform as a service (PaaS) featuring computer software platforms for using blockchain and automation to provide a clear, comprehensive end-to-end record of upstream and downstream supply chains and product lifecycles; providing temporary use of non-downloadable cloud-based software for using blockchain and automation to provide a clear, comprehensive end-to-end record of upstream and downstream supply chains and product lifecycles; providing temporary use of non-downloadable cloud-based software for managing blockchain transactions using blockchain technology, managing and verifying blockchain transactions

66.

STORAGE MEDIUM, VIDEO IMAGE GENERATION METHOD, AND VIDEO IMAGE GENERATION SYSTEM

      
Numéro d'application 17086489
Statut En instance
Date de dépôt 2020-11-02
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Akiyama, Shinichi
  • Kawano, Kiyoshi
  • Miyajima, Shinichirou
  • Miyazaki, Susumu
  • Yabuki, Mitsuaki

Abrégé

A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes receiving first positional information of each of a plurality of players, the first positional information being identified based on first video information captured by a plurality of first cameras installed in a field where the plurality of players play a competition; acquiring second video information from a second camera that captures a video image of the competition; when accepting identification information of a specific player among the plurality of players, converting first positional information of the specific player when and after the identification information is accepted, to second positional information in the second video information; generating third video information that is a partial area cut out from the second video information based on the second positional information obtained by the conversion; and outputting the third video information.

Classes IPC  ?

  • H04N 21/218 - Source du contenu audio ou vidéo, p.ex. réseaux de disques locaux
  • H04N 5/247 - Disposition des caméras de télévision
  • G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06T 5/00 - Amélioration ou restauration d'image

67.

COMPOSITE MODEL GENERATION METHOD AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 17096393
Statut En instance
Date de dépôt 2020-11-12
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Ito, Toshio
  • Anan, Taizo
  • Ikeda, Takuro

Abrégé

A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process, the process comprising: acquiring a first model that is created using a plurality of pieces of training data and outputs a first estimation result estimated with respect to first input data and a second model that is created based on a physical law or human knowledge and outputs a second estimation result estimated with respect to second input data; identifying, by comparing the first model and the second model with each other, a missing class that is not included in classes of the second input data among classes of the first input data; extending the second model with a correction term for input of input data of the missing class; and generating a composite model in which the extended second model and the first model are fused together.

Classes IPC  ?

68.

DETERMINATION METHOD AND DETERMINATION APPARATUS

      
Numéro d'application 17104332
Statut En instance
Date de dépôt 2020-11-25
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kitajima, Hironobu
  • Kashiwagi, Tetsuya

Abrégé

A first time-series data set indicating first measured values obtained by a first device and a second time-series data set indicating second measured values obtained by a second device are obtained. First alignment is performed to convert the positions in the time domain of the first measured values belonging to a second period, based on the first measured values belonging to a first period. Second alignment is performed to convert the positions in the time domain of the second measured values belonging to the second period, based on a relationship between positions before and after the conversion. Correlation analysis is performed between third and fourth time-series data sets respectively obtained by the first and second alignment. The existence or absence of an inclusion relationship in which the second measured values contain a component of the first measured values is determined based on the correlation analysis result.

Classes IPC  ?

69.

MONITORING SYSTEM AND MONITORING METHOD

      
Numéro d'application 17106398
Statut En instance
Date de dépôt 2020-11-30
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Maeda, Satoshi
  • Abiko, Yukihiro
  • Hama, Soichi

Abrégé

A monitoring system includes a memory, and a processor coupled to the memory and configured to detect a face area of a subject from a captured image divided into a plurality of blocks according to a number of light emitting elements that irradiate an image capturing range, and control a light emission intensity of a light emitting element corresponding to a block including the face area among the plurality of blocks according to one of a position of the face area and a size of the face area.

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06K 9/20 - Obtention de l'image
  • G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image

70.

COMMUNICATION DEVICE THAT SUPPORTS D2D COMMUNICATION, BASE STATION DEVICE, AND COMMUNICATION METHOD

      
Numéro d'application 17167138
Statut En instance
Date de dépôt 2021-02-04
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Cheng, Huiting
  • Wu, Jianming
  • Chen, Hongyang

Abrégé

A communication device supports device-to-device (D2D) communication and includes a processor, a transmitter, and a receiver. The processor generates control information that pertains to D2D data and requests a resource for transmitting the D2D data. The transmitter transmits the control information to a base station. The receiver receives, from the base station, information indicating resource allocation for transmitting the D2D data via D2D communication. The transmitter transmits the D2D data to a destination device via D2D communication according to the information indicating the resource allocation.

Classes IPC  ?

  • H04W 72/02 - Sélection de ressources sans fil par un usager ou un terminal
  • H04W 72/04 - Affectation de ressources sans fil
  • H04W 4/70 - Services pour la communication de machine à machine ou la communication de type machine
  • H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons

71.

COMMUNICATION DEVICE AND COMMUNICATION SYSTEM

      
Numéro d'application 17170240
Statut En instance
Date de dépôt 2021-02-08
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Wu, Jianming

Abrégé

A communication device includes, a subgroup manager which, among a total of N×NT resources of a control channel, the N×NT resources having N resources in a frequency axis direction and NT resources in a time axis direction, allocates N frequency axis direction resources in first place in the time axis direction to respective communication devices as resources of a first control channel, and allocates second to NT-th time axis direction resources in first place in the frequency axis direction to the respective communication devices as resources of a second control channel, allocates second to N-th frequency axis direction resources in second place in the time axis direction to respective other communication devices as resources of the first control channel.

Classes IPC  ?

  • H04W 72/04 - Affectation de ressources sans fil
  • H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons

72.

ENCODING APPARATUS, ENCODING METHOD, AND DECODING APPARATUS

      
Numéro d'application 17174374
Statut En instance
Date de dépôt 2021-02-12
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kazui, Kimihiko
  • Yamori, Akihiro

Abrégé

An encoding apparatus includes: a memory; and a processor coupled to the memory and configured to: generate a value corresponding to a reference direction selected in intra prediction for a process target block by converting a value indicating the reference direction in accordance with a shape of the process target block; calculate a predicted value in the process target block from the values corresponding to the reference directions generated in intra prediction for neighboring blocks adjacent to the process target block; and generate a binary signal for arithmetic encoding based on the predicted value and the value corresponding to the reference direction generated in the intra prediction for the process target block.

Classes IPC  ?

  • H04N 19/105 - Sélection de l’unité de référence pour la prédiction dans un mode de codage ou de prédiction choisi, p.ex. choix adaptatif de la position et du nombre de pixels utilisés pour la prédiction
  • H04N 19/159 - Type de prédiction, p.ex. prédiction intra-trame, inter-trame ou de trame bidirectionnelle
  • H04N 19/46 - Inclusion d’information supplémentaire dans le signal vidéo pendant le processus de compression
  • H04N 19/176 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c. à d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p.ex. un objet la zone étant un bloc, p.ex. un macrobloc

73.

LEARNING METHOD, LEARNING DEVICE, AND LEARNING PROGRAM

      
Numéro d'application JP2019046458
Numéro de publication 2021/106118
Statut Délivré - en vigueur
Date de dépôt 2019-11-27
Date de publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Okajima, Seiji
  • Ukai, Takanori

Abrégé

Provided is a learning device (1) that executes a learning method regarding an embedding processing for giving vector representation to instances and ontologies in Knowledge Graph. The leaning device (1) acquires vector representation of a first instance on a Euclidean space (S13), acquires vector representation of a first ontology on a hyperbolic space (S13), generates a second ontology in which the acquired vector representation of the first ontology is changed on the basis of mapping of the first instance into the hyperbolic space (S20, S21), generates a second instance in which the acquired vector representation of the first instance is changed on the basis of mapping of the second ontology into the Euclidean space (S18, S19), and learns correspondence between the second ontology and the second instance for performing link prediction, to thereby realize vector representation with high accuracy for the respective instances and ontologies.

Classes IPC  ?

  • G06N 5/02 - Représentation de la connaissance

74.

INFORMATION PROCESSING APPARATUS AND METHOD FOR COLLECTING COMMUNICATION CABLE LOG

      
Numéro d'application 17066509
Statut En instance
Date de dépôt 2020-10-09
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Miki, Atsushi

Abrégé

The communication cable comprising a first failure information region that stores first failure information and a second failure information region that stores second failure information, and in a case where a communication failure occurs, the manager apparatus reads the first failure information from the first failure information region, and the communication controller apparatus reads the second failure information from the second failure information region. With this configuration, in a case where a communication failure occurs, correlated failure information can be easily and surely obtained.

Classes IPC  ?

  • G06F 11/07 - Réaction à l'apparition d'un défaut, p.ex. tolérance de certains défauts
  • G06F 13/40 - Structure du bus
  • H04B 10/25 - Dispositions spécifiques à la transmission par fibres

75.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, AND COMPUTER-READABLE RECORDING MEDIUM RECORDING PROGRAM

      
Numéro d'application 17092369
Statut En instance
Date de dépôt 2020-11-09
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Iizawa, Ken

Abrégé

An information processing apparatus includes: a memory; and a processor coupled to the memory and configured to: perform control to write original stream data to a first sequential recording medium; perform extraction processing of first data that is at least a part of the original stream data to be written to the first sequential recording medium and is to be used in a process for analysis; and perform control to write the first data to a second sequential recording medium.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

76.

INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD

      
Numéro d'application 17102722
Statut En instance
Date de dépôt 2020-11-24
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Wang, Mengjiao
  • Liu, Rujie

Abrégé

The present disclosure relates to an information processing method and an information processing apparatus. The information processing apparatus according to the present disclosure comprises: a determining unit configured to respectively determine a discrimination margin of each class of a plurality of classes of a training sample set containing the plurality of classes relative to other classes; and a training unit configured to use, based on the determined discrimination margin, the training sample set for training a classifying model. By the information processing apparatus and the information processing method according to the present disclosure, a classifying model can be trained by using a training sample set of which training samples are distributed unevenly, so that a classifying model capable of performing accurate classification can be obtained without significantly increasing a calculation cost.

Classes IPC  ?

  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion

77.

PACKET PROCESSING APPARATUS AND PACKET PROCESSING METHOD

      
Numéro d'application 17107691
Statut En instance
Date de dépôt 2020-11-30
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Hirota, Masaki

Abrégé

A packet processing apparatus sets, for each TS as a gate state of each of a first gate and a second gate, a priority state, a normal state, and a mixed state and sets a predetermined TS associated with a cyclic pattern of the first packet to the priority or the mixed state. The apparatus allocates, when an amount of output delay of the first packet that is in the mixed state in the predetermined TS is within an allowable amount, the first packet and the second packet to the predetermined TS. The apparatus sets output timing of the first packet allocated in the predetermined TS to the priority state and sets output timing of the second packet allocated in the predetermined TS to the normal state.

Classes IPC  ?

  • H04L 12/823 - Suppression de paquets
  • H04L 12/841 - Actions liées à la commande de flux utilisant des données temporelles, p.ex. temps d'aller retour [RTT]
  • H04L 12/26 - Dispositions de surveillance; Dispositions de test

78.

METHOD FOR ASSESSING RADIO LINK QUALITY, PARAMETER CONFIGURATION METHOD, APPARATUSES THEREOF AND SYSTEM

      
Numéro d'application 17170285
Statut En instance
Date de dépôt 2021-02-08
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Chen, Zhe
  • Song, Lei
  • Jia, Meiyi
  • Zhang, Lei
  • Wang, Xin

Abrégé

A method for assessing radio link quality, a parameter configuration method, apparatuses thereof and a system. The method for assessing radio link quality includes: a terminal equipment assesses radio link quality in a first cell according to a reference signal related to downlink data transmission in a first reference signal set. Hence, when a beam failure occurs, the communication system may quickly adjust and recover transmission of downlink signals.

Classes IPC  ?

  • H04W 24/08 - Réalisation de tests en trafic réel
  • H04L 5/00 - Dispositions destinées à permettre l'usage multiple de la voie de transmission
  • H04W 72/04 - Affectation de ressources sans fil

79.

METHOD AND APPARATUS FOR TRANSMITTING DATA AND COMMUNICATION SYSTEM

      
Numéro d'application 17173136
Statut En instance
Date de dépôt 2021-02-10
Date de la première publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Li, Guorong
  • Ji, Pengyu
  • Wang, Xin
  • Zhang, Lei

Abrégé

An apparatus and method for transmitting data of vehicle communication (V2X) services and a communication system. The apparatus includes: a first generating unit configured in a media access control (MAC) layer of the terminal equipment and configured to generate at least one protocol data unit (PDU) in a mode identical to a transmission mode to which a service data unit (SDU) contained in a PDU corresponds; and a first transmitting unit configured in the MAC layer and configured to transmit the PDU to a physical layer of the terminal equipment, and notify the transmission mode to which the PDU corresponds to the physical layer. This disclosure facilitates the physical layer to transmit data in a corresponding transmission mode. The terminal equipment may determine the transmission mode or set the transmission mode according to the indication information, and layers of the terminal equipment perform corresponding processing.

Classes IPC  ?

  • H04W 28/02 - Gestion du trafic, p.ex. régulation de flux ou d'encombrement
  • H04W 80/02 - Protocoles de couche liaison de données
  • H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons

80.

BASE STATION DEVICE, TERMINAL DEVICE, AND RADIO COMMUNICATION SYSTEM

      
Numéro d'application JP2019046676
Numéro de publication 2021/106170
Statut Délivré - en vigueur
Date de dépôt 2019-11-28
Date de publication 2021-06-03
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Kawasaki, Yoshihiro

Abrégé

A base station device (200) includes: a radio communication unit (210) that receives a handover-destination notification from a terminal device (100) with which radio communication is being carried out, the handover-destination notification including identification information of a handover-destination base station device (300-1) determined by the terminal device (100) and identification information of a preamble to be transmitted to the handover-destination base station device (300-1) by the terminal device (100); and a transmission unit (230) that transmits an advance notification to the handover-destination base station device (300-1), the advance notification including the identification information of the terminal device (100) and the identification information of the preamble.

Classes IPC  ?

  • H04W 36/08 - Resélection d'un point d'accès
  • H04W 36/30 - La resélection étant déclenchée par des paramètres spécifiques par des données de mesure ou d’estimation de la qualité des liaisons
  • H04W 36/38 - Contrôle de resélection par un équipement fixe du réseau mobile
  • H04W 74/08 - Accès non planifié, p.ex. accès aléatoire, ALOHA ou accès multiple par détection de porteuse [CSMA Carrier Sense Multiple Access]

81.

FUJITSU Track and Trust

      
Numéro d'application 018484457
Statut En instance
Date de dépôt 2021-06-02
Propriétaire FUJITSU LIMITED (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; computer software. Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration; installation of computer software; maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding functions of computer software, and providing information thereon; software as a service (SAAS); computer system consulting and advisory services; providing temporary use of non-downloadable cloud-based software; providing technical information about computers, computer software and computer networks; platform as a service (PaaS).

82.

FUJITSU Data Intelligence

      
Numéro d'application 018484462
Statut En instance
Date de dépôt 2021-06-02
Propriétaire FUJITSU LIMITED (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; computer software. Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration; installation of computer software; maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding functions of computer software, and providing information thereon; software as a service (SAAS); computer system consulting and advisory services; providing temporary use of non-downloadable cloud-based software; providing technical information about computers, computer software and computer networks; platform as a service (PaaS).

83.

Digital Twin Platform

      
Numéro d'application 018481151
Statut En instance
Date de dépôt 2021-05-28
Propriétaire FUJITSU LIMITED (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 38 - Services de télécommunications
  • 39 - Services de transport, emballage et entreposage; organisation de voyages
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; computer software. Consultancy services relating to mobility data; data processing; compilation and systemization of information into computer databases. Communications by computer terminals; telecommunication gateway services; telecommunications routing and junction services; providing access to distributed databases; electronic data transmission; data transmission and reception services via telecommunication means; electronic exchange of data stored in databases accessible via telecommunication networks; providing communication data routing services (that apply optimum communication paths in an electronic communication network); network traffic routing services; network load balancing services. Providing traffic and road information; providing information on vehicle positions on the road; tracking, locating and monitoring of vehicles. Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration, installation of computer software, maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding of functions for computer software, and providing information thereon; software as a service (SAAS) services; computer system consulting and advisory services.

84.

INFORMATION PROCESSING APPARATUS AND COMPUTER-READABLE STORAGE MEDIUM STORING PARALLEL COMPUTING PROGRAM

      
Numéro d'application 17064625
Statut En instance
Date de dépôt 2020-10-07
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Naribayashi, Akira
  • Nose, Takafumi

Abrégé

A processing unit generates, in the initial setting of all-to-all communication between processes, a unique node-order process number for each process on the basis of hardware information, computes the virtual rank number of each process on the basis of the node-order process number of the process, and stores the computed virtual rank numbers in a storage unit. When performing the al-to-all communication between the processes, the processing unit determines the communication partner process of each process for the current step in the all-to-all communication by performing an exclusive OR operation between the virtual rank number of the process, stored in, the storage unit, and the step number of the current step. Then, the processing unit performs communication from each process to the corresponding communication partner process.

Classes IPC  ?

  • G06F 9/52 - Synchronisation de programmes; Exclusion mutuelle, p.ex. au moyen de sémaphores
  • G06F 9/54 - Communication interprogramme

85.

ADAPTIVE EQUALIZER, OPTICAL RECEIVER, AND OPTICAL TRANSMISSION SYSTEM

      
Numéro d'application 17066511
Statut En instance
Date de dépôt 2020-10-09
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Sasaki, Daisuke
  • Nakashima, Hisao
  • Koizumi, Nobukazu

Abrégé

An adaptive equalizer includes a sample buffer that temporarily stores data obtained by fractional sampling at a sampling rate that is larger than one time and smaller than two times a symbol rate; and a processor coupled to the sample buffer and configured to: specify position of a training sequence in the data based on a correlation value between a first set of (f×T) samples and a second set of (f×T) samples following the first set of samples, assuming that the sampling rate is f, and a symbol length of a code pattern included in the training sequence inserted in the data is T, and calculate an initial value of a tap coefficient set to a tap of an adaptive equalization filter based on the specified training sequence, wherein the symbol length is set to be changeable so that f×T is an integer.

Classes IPC  ?

  • H04L 25/03 - Réseaux de mise en forme pour émetteur ou récepteur, p.ex. réseaux de mise en forme adaptatifs
  • H04B 10/50 - Systèmes de transmission utilisant des ondes électromagnétiques autres que les ondes hertziennes, p.ex. les infrarouges, la lumière visible ou ultraviolette, ou utilisant des radiations corpusculaires, p.ex. les communications quantiques Émetteurs
  • H04B 10/60 - Récepteurs

86.

STRUCTURE SEARCH METHOD AND STRUCTURE SEARCH APPARATUS

      
Numéro d'application 17070965
Statut En instance
Date de dépôt 2020-10-15
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Sato, Hiroyuki

Abrégé

A structure search method includes: sequentially arranging, by a computer, n compound groups at each lattice point of a three-dimensional lattice space to create a three-dimensional structure of a compound in the three-dimensional lattice space, the n compound groups being coupled to each other in the compound; and calculating a minimum energy of an Ising model by performing a ground state search using an annealing method on the Ising model transformed based on constraint conditions for each of the lattice points, the constraint conditions including: a first constraint that each of the n compound groups is arranged at only one lattice point; a second constraint that the n compound groups do not overlap with each other at each of the lattice points; and a third constraint that relates to coupling of the n compound groups and increases energy of the Ising model calculated when the constraint is not satisfied.

Classes IPC  ?

  • G16B 15/30 - Ciblage de médicament à l’aide de données structurelles; Prévision d’amarrage ou de liaison moléculaire

87.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, AND RECORDING MEDIUM STORING PROGRAM

      
Numéro d'application 17070970
Statut En instance
Date de dépôt 2020-10-15
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Fukuda, Shinichiro
  • Nonaka, Takashi
  • Takaochi, Kaname

Abrégé

An information processing apparatus includes: a memory; and a processor coupled to the memory and configured to: perform mirroring of data with a first information processing apparatus and switches from a standby system to an active system with operation shutdown of the first information processing apparatus to operate as a second information processing apparatus, the information processing apparatus; determine whether or not target data is data for which the mirroring is completed before the operation shutdown, the target data being target data of a restoration copy processing performed when the first information processing apparatus is restored to the active system after the information processing apparatus operates as the second information processing apparatus; and copy the target data from the own apparatus to the first information processing apparatus when determining that the target data is data for which the mirroring is completed.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

88.

INFORMATION PROCESSING SYSTEM, NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN STORAGE CONTROLLING PROGRAM, AND STORAGE CONTROLLER

      
Numéro d'application 17061596
Statut En instance
Date de dépôt 2020-10-02
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Shiraki, Osamu

Abrégé

An information processing system includes a data processing apparatus and multiple storage apparatuses. The data processing apparatus stores, into a memory, write data to be written to a first storage apparatus, and sends, to the first storage apparatus, a first transfer request containing information of a storing location of the write data in the memory. The first storage apparatus executes a transfer process to read the write data from the storing location, and writes the write data to a first storage area in the first storage apparatus; sends, to a second storage apparatus, a second transfer request instructing a transfer of the write data from the memory to the second storage apparatus; and sends, to a third storage apparatus, a third transfer request instructing a transfer of the write data from the first storage area to the third storage apparatus.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement
  • G06F 15/173 - Communication entre processeurs utilisant un réseau d'interconnexion, p.ex. matriciel, de réarrangement, pyramidal, en étoile ou ramifié

89.

INFORMATION PROCESSING APPARATUS AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN INFORMATION PROCESSING PROGRAM

      
Numéro d'application 17061604
Statut En instance
Date de dépôt 2020-10-02
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Oe, Kazuichi
  • Imamura, Satoshi
  • Yoshida, Eiji

Abrégé

An information processing apparatus includes: a memory region; a communication interface that is connected to an access apparatus different from the information processing apparatus; a storage region that the communication interface accesses in response to an access request from the access apparatus; and a processor coupled to the memory region and the storage region, and configured to access the memory region and the storage region, wherein the processor including a memory controller configured to control an access to the memory region and an access to the storage region, and the processor is configured to control, based on a state of one or more first accesses to the memory region and the storage region via the memory controller, a timing of executing a second access to the storage region that the communication interface makes via the memory controller.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement
  • G06F 15/173 - Communication entre processeurs utilisant un réseau d'interconnexion, p.ex. matriciel, de réarrangement, pyramidal, en étoile ou ramifié

90.

LEARNING METHOD AND LEARNING APPARATUS

      
Numéro d'application 17065554
Statut En instance
Date de dépôt 2020-10-08
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kai, Yutaka
  • Kasagi, Akihiko

Abrégé

A first learning rate is set to a first block including a first parameter, and a second learning rate, which is smaller than the first learning rate, is set to a second block including a second parameter. The first block and the second block are included in a model. Learning processing in which updating the first parameter based on a prediction error of the model, the prediction error having been calculated by using training data, and the first learning rate and updating the second parameter based on the prediction error and the second learning rate are performed iteratively is started. An update frequency of the second parameter is controlled such that this update frequency becomes lower than an update frequency of the first parameter by intermittently omitting the updating of the second parameter in the learning processing based on a relationship between the first and second learning rates.

Classes IPC  ?

91.

USAGE PREDICTION METHOD AND STORAGE MEDIUM

      
Numéro d'application 17088733
Statut En instance
Date de dépôt 2020-11-04
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kumano, Tatsuo
  • Watanabe, Yukihiro

Abrégé

A usage prediction method executed by a computer, the usage prediction method includes classifying a plurality of records corresponding to a plurality of times included in first time-series data indicating a history of usages of a resource into a plurality of groups respectively corresponding to attributes of the plurality of times; generating second time-series data for each attribute by combining the records belonging to the group corresponding to the same attribute for the plurality of classified groups in order of the times; generating, for each attribute, an expression for calculating a predicted value to be used for calculating a predicted value of the usage based on the generated second time-series data; and calculating the predicted value of the usage based on the expression for calculating the predicted value for each attribute.

Classes IPC  ?

  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie
  • G06F 17/18 - Opérations mathématiques complexes pour l'évaluation de données statistiques
  • G06F 17/15 - Calcul de fonction de corrélation
  • G06F 17/40 - Acquisition et consignation de données

92.

BASE STATION, TERMINAL, AND WIRELESS COMMUNICATION SYSTEM

      
Numéro d'application 17162369
Statut En instance
Date de dépôt 2021-01-29
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Ohta, Yoshiaki
  • Kawasaki, Yoshihiro
  • Ode, Takayoshi
  • Aoki, Nobuhisa

Abrégé

A base station performing random access procedure, the base station includes a transmitter and a controller. The transmitter configured to transmit a protocol data unit which is a signal of the random access procedure and a second signal different from the first signal which is not signal of the random access procedure, the second signal being a downlink control signal of control plane. The controller configured to perform control such that control information is included in the first signal, the control information being for controlling transmission of the second signal.

Classes IPC  ?

  • H04W 74/00 - Accès au canal sans fil, p.ex. accès planifié, accès aléatoire
  • H04W 74/08 - Accès non planifié, p.ex. accès aléatoire, ALOHA ou accès multiple par détection de porteuse [CSMA Carrier Sense Multiple Access]
  • H04W 76/27 - Transitions entre états de commande de ressources radio [RRC]
  • H04W 80/02 - Protocoles de couche liaison de données

93.

NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, EVALUATION METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 17166463
Statut En instance
Date de dépôt 2021-02-03
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Matoba, Yuki
  • Kataoka, Masahiro
  • Tateiwa, Yasunari

Abrégé

The information processing device receives question information, converts words contained in the received question information into word vectors including a plurality of element values respectively associated with a plurality of elements. The information processing device refers to the memory that stores, in association with the elements, specific information specifying the strength of specific meanings contained within the element values associated with the elements and acquires, using the specific information, a plurality of semantic information items indicating the strength of the specific meanings respectively contained within the plurality of element values included in the word vectors. The information processing device performs an evaluation relating to the received question information on the basis of the acquired plurality of semantic information items.

Classes IPC  ?

  • G06F 40/12 - Utilisation de codes pour la manipulation d’entités textuelles
  • G06F 40/30 - Analyse sémantique

94.

TRANSMISSION DEVICE, RECEPTION DEVICE, WIRELESS COMMUNICATION SYSTEM, AND COMMUNICATION METHOD

      
Numéro d'application 17167798
Statut En instance
Date de dépôt 2021-02-04
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Shimomura, Tsuyoshi

Abrégé

A transmission device, which is capable of wirelessly communicating with a reception device by using a first frequency band that does not need a license, the transmission device including, a controller configured to verify whether the first frequency band is not used by other transmission devices, and shift, in a time direction, a first symbol including a first control channel and a first shared channel in a first communication direction, or a second symbol including a second shared channel in a second communication direction different from the first communication direction, and a transmitter configured to transmit, to the reception device, a first control signal and first data, which are allocated to the first symbol, by using the first control channel and the first shared channel, respectively, or second data allocated to the second symbol by using the second shared channel.

Classes IPC  ?

  • H04W 74/08 - Accès non planifié, p.ex. accès aléatoire, ALOHA ou accès multiple par détection de porteuse [CSMA Carrier Sense Multiple Access]
  • H04W 74/00 - Accès au canal sans fil, p.ex. accès planifié, accès aléatoire
  • H04W 16/14 - Dispositions de partage du spectre de fréquence
  • H04W 72/04 - Affectation de ressources sans fil
  • H04L 1/18 - Systèmes de répétition automatique, p.ex. système Van Duuren

95.

TERMINAL DEVICE, WIRELESS COMMUNICATION DEVICE, WIRELESS COMMUNICATION SYSTEM AND WIRELESS COMMUNICATION METHOD

      
Numéro d'application 17169015
Statut En instance
Date de dépôt 2021-02-05
Date de la première publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Wu, Jianming

Abrégé

A terminal device includes a processor configured to autonomously select a first resource for transmission of data from among a plurality of resources; transmit the data with a first transmit mode to another terminal device by using the first resource; receive control information that has been transmitted from a wireless communication device capable of performing communication with the own terminal device and that designates a second resource that is not overlapped with the first resource; and retransmit the data with a second transmit mode to the other terminal device by using the second resource designated by the control information.

Classes IPC  ?

  • H04W 72/04 - Affectation de ressources sans fil
  • H04L 1/08 - Dispositions pour détecter ou empêcher les erreurs dans l'information reçue par émission répétée, p.ex. système Verdan
  • H04W 72/08 - Affectation de ressources sans fil sur la base de critères de qualité

96.

MACHINE LEARNING METHOD, MACHINE LEARNING DEVICE, AND MACHINE LEARNING PROGRAM

      
Numéro d'application JP2019045670
Numéro de publication 2021/100183
Statut Délivré - en vigueur
Date de dépôt 2019-11-21
Date de publication 2021-05-27
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Liang, Jun

Abrégé

The present invention improves the accuracy of machine learning using a document containing a plurality of words. From among words contained in a document (15), shared words used in both domains (13, 14) are identified. The weights (16) between the domains (13, 14) are calculated on the basis of two or more words other than the shared words among the words contained in the document (15). Feature information (15b) to be assigned to the shared words is calculated by using feature information (13b) calculated by using a model (13a) corresponding to the domain (13), feature information (14b) calculated by using a model (14a) corresponding to the domain (14), and the weights (16). A model (17) is trained by using the feature information (15b) and teacher labels (15a) assigned to the shared words contained in the document (15).

Classes IPC  ?

  • G06F 40/216 - Analyse syntaxique utilisant des méthodes statistiques

97.

ADAPTIVE EQUALIZER, OPTICAL RECEIVER, AND ADAPTIVE EQUALIZATION METHOD

      
Numéro d'application 17073716
Statut En instance
Date de dépôt 2020-10-19
Date de la première publication 2021-05-20
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Sasaki, Daisuke
  • Nakashima, Hisao
  • Koizumi, Nobukazu

Abrégé

An adaptive equalizer, includes a sample buffer; and a processor coupled to the sample buffer and configured to: perform an adaptive equalization on data which has been fractionally sampled at a sampling rate higher than once a symbol rate and lower than twice the symbol rate, determine an initial value of a tap coefficient of the adaptive equalizer by using a training sequence inserted in the data, shift, by a predetermined shift amount, a sample point of one pattern from among two consecutive patterns included in the training sequence, specify a position of the training sequence in the data by replacing an original sample value with a sample value at the shifted sample point, and update the initial value of the tap coefficient based on the specified training sequence.

Classes IPC  ?

  • H04L 25/03 - Réseaux de mise en forme pour émetteur ou récepteur, p.ex. réseaux de mise en forme adaptatifs
  • H04B 10/61 - Récepteurs cohérents

98.

INFORMATION PROCESSING APPARATUS, DATA FLOW EDITING METHOD, AND STORAGE MEDIUM

      
Numéro d'application 17074665
Statut En instance
Date de dépôt 2020-10-20
Date de la première publication 2021-05-20
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Chen, Fei
  • Kitano, Takayuki

Abrégé

An information processing apparatus, includes a memory; and a processor coupled to the memory and configured to: count a number of first data flows which a second data flow related to a current data flow has, repeat a replacement processing which replaces the current data flow with the second data flow until the counted number of first data flows is not 1, when the number of first data flows of the second data flow is not 1, identify the second data flow as the current data flow, and display the identified current data flow on a display device.

Classes IPC  ?

  • H04L 12/24 - Dispositions pour la maintenance ou la gestion
  • G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou manipulation d’un objet ou d’une image, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs

99.

RECORDING MEDIUM, SCREEN OUTPUT METHOD, SCREEN GENERATION METHOD, INFORMATION PROCESSING APPARATUS, AND MONITORING SYSTEM

      
Numéro d'application 17074721
Statut En instance
Date de dépôt 2020-10-20
Date de la première publication 2021-05-20
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Nakamura, Kouji
  • Sumida, Hiroyuki
  • Takada, Tomohiro

Abrégé

A method for causing a computer to execute a process, the process includes receiving an input operation from each of a plurality of referees in a match of a competitive game; specifying, based on the input operation, a referee who performs an input, a first input or a second input, and a plurality of players in the match; generating a first image including middle areas and small areas, the middle areas being assigned for each player of the plurality of players, the small areas being assigned to each of the plurality of referees for each of the middle areas and being provided to be arranged along a timeline indicating a progress of the match; and adding, in the first image, an index indicating the first input or the second input to a position determined by the specified player, the specified referee, and a timing related to the input operation.

Classes IPC  ?

  • A63F 13/46 - Calcul du score du jeu
  • G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
  • G06T 11/00 - Génération d'images bidimensionnelles [2D]
  • G06F 3/14 - Sortie numérique vers un dispositif de visualisation

100.

RECORDING MEDIUM, INFORMATION MANAGEMENT METHOD, AND INFORMATION MANAGEMENT APPARATUS

      
Numéro d'application 17159295
Statut En instance
Date de dépôt 2021-01-27
Date de la première publication 2021-05-20
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Matsuyama, Hiroshi
  • Narukawa, Shinji

Abrégé

An information management apparatus starts a conversation with a chatbot on an information processing terminal in response to a received chat start instruction, and based on the content of the conversation, sends recommend information related to a service to the information processing terminal. The information management apparatus sends pass information that enables access to user information received from the information processing terminal, the pass information being sent to an information processing device that corresponds to a provider of the service, when information indicating a desire to use the service is received from the information processing terminal in response to the recommend information. The information management apparatus deletes the user information when receiving from the information processing device, acknowledgment indicating that the service can be provided to the user that corresponds to the user information accessed using the pass information.

Classes IPC  ?

  • H04L 12/58 - Systèmes de commutation de messages
  • G06Q 30/06 - Transactions d'achat, de vente ou de crédit-bail
  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès
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