The model training apparatus trains an image conversion model to generate, from an input image representing a scene in a first environment, an output image representing the scene in a second environment. The model training apparatus inputs a training image to the image conversion model to obtain a first feature map and an output image, input the output image to the image conversion model to obtain a second feature map, computes a patch-wise loss using the features corresponding to a positive example patch and a negative example patch extracted from the training image and a positive example patch extracted from the output image, and trains the image conversion model based on the patch-wise loss, which is extracted intensively from the region representing an object of a specific type.
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 10/77 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source
2.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Provided is an information processing device including an acquisition unit that acquires article information indicating an article included in baggage of a passenger in a security inspection of a first country and a providing unit that provides the article information to a device used for a procedure for an entry into a second country of the passenger.
G06Q 50/26 - Services gouvernementaux ou services publics
G01N 23/04 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p.ex. rayons X ou neutrons, non couvertes par les groupes , ou en transmettant la radiation à travers le matériau et formant des images des matériaux
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
3.
FIBER SENSING SYSTEM, RELAYING APPARATUS, AND FIBER SENSING METHOD
A fiber sensing system according to the present disclosure includes a submarine cable, and a plurality of relaying apparatuses being connected in series to one another via the submarine cable. The relaying apparatus includes a DAS interrogator being connected to a relaying apparatus at a subsequent stage via a sensing optical fiber in the submarine cable, and a terminator being connected to a relaying apparatus at a preceding stage via the sensing optical fiber. The DAS interrogator outputs probe light to the sensing optical fiber. The terminator terminates probe light being output from the DAS interrogator in the relaying apparatus at the preceding stage to the sensing optical fiber. The DAS interrogator receives backscattered light of probe light from the sensing optical fiber, and acquires the DAS data from the received backscattered light.
A motion plan device 10X mainly includes a condition setting means 90X and a motion plan means 100X. The condition setting means 90X sets a first condition in which a robot performing a pick-and-place for one or more transport objects and the one or more transport objects are located inside movable region being a region where no collision with a collision avoidance necessary target occurs, and a second condition in which, while the robot is grasping and carrying the transport object, the movable region around the collision avoidance necessary target of the robot and the movable region around the collision avoidance necessary target of the transport object being carried match with each other. Next, the motion plan means 100X calculates a motion plan of the robot based on the first condition and the second condition.
In a recovery level estimation device, an image acquisition means acquires images in which eyes of a patient are captured. An eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement based on the images. A recovery level estimation means estimates a recovery level of the patient based on the eye movement feature by using a recovery level estimation model which has been learned by machine learning in advance.
A61B 3/00 - Appareils pour l'examen optique des yeux; Appareils pour l'examen clinique des yeux
A61B 3/113 - Appareils pour l'examen optique des yeux; Appareils pour l'examen clinique des yeux du type à mesure objective, c. à d. instruments pour l'examen des yeux indépendamment des perceptions ou des réactions du patient pour déterminer ou enregistrer le mouvement de l'œil
A61B 3/14 - Dispositions spécialement adaptées à la photographie de l'œil
G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p.ex. le suivi des coins ou des segments
6.
CONGESTION DEGREE DETERMINATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
A congestion degree determination apparatus (2000) acquires a captured image (50) generated by an in-vehicle camera that captures an inside of a target vehicle. The congestion degree determination apparatus (2000) determines, for each of persons (30) present in the target vehicle, an area (20) in which the person (30) is positioned out of a plurality of areas (20) in the target vehicle using the captured image (50). The congestion degree determination apparatus (2000) determines the congestion degree of the target vehicle using the number of the persons (30) positioned in each of two or more of the areas (20).
In a camera calibration apparatus, a vanishing point calculation uni calculates a “first vanishing point” in the horizontal direction based on a first coordinate pair and a second coordinate pair acquired by an acquisition unit and calculates a “second vanishing point” in the vertical direction based on a third coordinate pair and a fourth coordinate pair acquired by the acquisition unit. The camera parameter calculation unit calculates a camera parameter of a camera based on the first vanishing point and the second vanishing point calculated by the vanishing point calculation unit. Each of the first coordinate pair and the second coordinate pair is related to a part of a human horizontally distributed in a world coordinate space. Each of the third coordinate pair and the fourth coordinate pair is related to a part of a human vertically distributed in the world coordinate space.
An optical transmission path monitoring device according to the present disclosure includes a monitoring light generation circuit configured to generate first monitoring light, and send the first monitoring light to an optical transmission path, a time synchronization circuit configured to perform time synchronization with an opposite monitoring device connected to an opposite side of the optical transmission path, a light reception circuit configured to receive first returned light acquired by turning back the first monitoring light in a turnback circuit inserted in the optical transmission path, and second returned light acquired by multiple turning back, in the turnback circuit, second monitoring light sent by the opposite monitoring device, and a time control circuit configured to control a sending time of the first monitoring light by use of positional information of the turnback circuit.
H04B 10/077 - 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 un signal de surveillance ou un signal supplémentaire
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
9.
WALKING INDEX CALCULATION DEVICE, WALKING INDEX CALCULATION SYSTEM, WALKING INDEX CALCULATION METHOD, AND PROGRAM RECORDING MEDIUM
A walking index calculation device that includes a waveform generation unit configured to generate a walking waveform by using sensor data regarding motion of a foot acquired by a sensor installed in footwear; a detection unit configured to detect a timing at which a clearance of a toe is minimized from the walking waveform; and a calculation unit configured to calculate a minimum value of the clearance of the toe by using a walking parameter at the timing at which the clearance of the toe is minimized.
H10K 50/12 - OLED ou diodes électroluminescentes polymères [PLED] caractérisées par les couches électroluminescentes [EL] comprenant des dopants
H10K 71/16 - Dépôt d'une matière active organique en utilisant un dépôt physique en phase vapeur [PVD], p. ex. un dépôt sous vide ou une pulvérisation cathodique
H10K 85/60 - Composés organiques à faible poids moléculaire
An atomic oscillator of the present disclosure includes: a gas cell in which an alkali metal atom is encapsulated; a light generating unit emitting emission light onto the gas cell; a light detecting unit detecting transmitted light passed through the gas cell; and a control device determining a resonance frequency of the emission light based on a light amount of the detected transmitted light. The control device stores correspondence information in which a feature value of a transmitted light spectrum is associated with a state of the emission light, performs estimation processing to extract the feature value of the transmitted light spectrum from the detected transmitted light and estimate the state of the emission light corresponding to the extracted feature value of the transmitted light spectrum based on the correspondence information, and controls an emission state of the emission light based on the estimated state of the emission light.
H03L 7/26 - Commande automatique de fréquence ou de phase; Synchronisation utilisant comme référence de fréquence les niveaux d'énergie de molécules, d'atomes ou de particules subatomiques
11.
COMMUNICATION TERMINAL, MONITORING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
It is intended to provide a communication terminal capable of preventing an operator of the communication terminal from recognizing processing running in the communication terminal. A communication terminal (10) according to the present disclosure includes a communication unit (11) that transmits an emergency message and a control unit (12) that disables a user's operation of the communication terminal or a function executed by a user's operation of the communication terminal after the emergency message is transmitted, and the communication unit (11) starts data communication with a monitoring terminal and transmits data to the monitoring terminal while the function is disabled.
H04W 4/90 - Services pour gérer les situations d’urgence ou dangereuses, p.ex. systèmes d’alerte aux séismes et aux tsunamis
H04M 1/72424 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles avec des moyens de soutien local des applications accroissant la fonctionnalité pour donner accès à des services d’urgence les fonctions de service d’urgence étant activées manuellement
H04M 1/72463 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles avec des moyens permettant d’adapter la fonctionnalité du dispositif dans des circonstances spécifiques pour limiter la fonctionnalité du dispositif
H04M 1/72484 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles où les fonctions sont activées par la réception d’une démarche de communication
12.
ACTION RECOGNITION APPARATUS, TRAINING APPARATUS, ACTION RECOGNITION METHOD, TRAINING METHOD, AND STORAGE MEDIUM
A provided technique accurately recognizes an action of a person even in a time zone in which a region related to an action of the person is not sufficiently shown in an image sequence. An action recognition apparatus includes: a first calculation section for calculating, based on a first partial sequence in an image sequence constituting a time series, first action feature information indicating an action feature of a person included as a subject in an image in the first partial sequence; a second calculation section for calculating, based on past feature information calculated based on a second partial sequence including at least one past image prior to the first partial sequence in the image sequence, second action feature information obtained by correcting the first action feature information; and an action recognition section for recognizing an action of the person based on the second action feature information.
G06V 40/20 - Mouvements ou comportement, p.ex. reconnaissance des gestes
G06V 10/774 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
G06V 20/52 - Activités de surveillance ou de suivi, p.ex. pour la reconnaissance d’objets suspects
13.
PROCEDURE TO UPDATE THE PARAMETERS RELATED TO UNIFIED ACCESS CONTROL
This disclosure defines a procedure to security protection to sensitive information in AS layer during AS connection establishment procedure. More specifically the disclosure provides a procedure for privacy protection of user subscription and location related information at AS layer during AS connection establishment procedure.
In the endoscopic examination support apparatus, the three-dimensional model generation means generates a three-dimensional model of a luminal organ in which an endoscope camera is placed, based on endoscopic images obtained by imaging an interior of the luminal organ with the endoscope camera. The unobserved area detection means detects an area estimated not to be observed by the endoscope camera, as an unobserved area, based on the three-dimensional model. The display image generation means generates a display image including at least one of information indicating a position of the unobserved area in the endoscopic image, and information indicating a direction of the unobserved area outside the endoscopic image. The endoscopic examination support apparatus may be used to support user's decision making.
G06T 17/00 - Modélisation tridimensionnelle [3D] pour infographie
A61B 1/00 - Instruments pour procéder à l'examen médical de l'intérieur des cavités ou des conduits du corps par inspection visuelle ou photographique, p.ex. endoscopes; Dispositions pour l'éclairage dans ces instruments
An optimization apparatus includes: a selection unit that selects, as a correction value, an element having a magnitude equal to or smaller than a predetermined value from among convex hulls of a policy set; an acquisition unit that acquires a result of execution of a second policy executed in a second round, the second round being a round a predetermined round before a first round for executing a first policy that is determined from among the policy set; a calculation unit that calculates an estimated value of a loss vector in the execution of the policy based on the result of the execution and the correction value selected in the second round; an update unit that updates a first probability distribution based on the estimated value; and a determination unit that determines a policy for a next round based on the updated first probability distribution.
The image processing device 1X includes an acquisition means 30X and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The lesion detection means 34X detects a lesion based on a selection model which is selected from a first model and a second model, the first model being configured to make an inference regarding a lesion of the examination target based on a predetermined number of endoscopic images, the second model being configured to make an inference regarding a lesion of the examination target based on a variable number of endoscopic images. Besides, the lesion detection means 34X changes a parameter to be used for detection of the lesion based on a non-selection model that is the first model or the second model other than the selection model.
According to an example embodiment, an object feature extraction device includes a video acquisition means for acquiring a video and generating the acquired video as an image sequence, an object detection means for detecting an object from the generated image and generating a detection result, an object tracking means for tracking the object based on the generated image and the detection result and generating a tracking result, an image storage means for storing the image, a detection result storage means for storing the detection result, a tracking result storage means for storing the tracking result, an object selection means for calculating, based on the detection result and the tracking result, a quality index for predicting the quality of a feature of the object detected at an extraction time, selecting the object to be subjected to feature extraction, and generating object selection information.
Provided is a novel technology with which the occurrence of an abnormal situation can be detected and the abnormal situation can be appropriately ascertained. A monitoring device (1) comprises: a voice acquisition unit (2) that acquires prescribed speech spoken by a person due to the occurrence of an abnormal situation in a monitoring target area; a person identification unit (3) that identifies the person who spoke the prescribed speech, on the basis of a feature obtained from the prescribed speech; an analysis unit (4) that searches for the identified person in the images from a camera which images the monitoring target area, and that analyzes an expression or action of the person; and an abnormal situation evaluation unit (5) that evaluates the abnormal situation in the monitoring target area, on the basis of the analysis results.
A data generation unit 6 generates a first number of false data based on a generation model that is a neural network for generating false data. A discriminator unit 7 derives output values for given data based on a discriminator model that is a neural network for deriving output values indicating true data-likeness and false data-likeness of the given data. A gradient information calculation unit 8 calculates, for each combination of one true data and each of the first number of false data, a distance between the output value for the true data and the output value for the false data, and calculates gradient information that is an update amount for each weight that the discriminator model has, so as to increase the distance by a predetermined amount. A selection unit 9 selects false data to be stored in the saved data storage unit 4.
A control device 1X mainly includes an operation planning means 17Y, a display control means 15Y, and a correction receiving means 16Y. The operation planning means 17Y determines a first operation plan of a robot which executes a task in which an object is used. The display control means 15Y displays trajectory information regarding a trajectory of the object based on the first operation plan. The correction receiving means 16Y receives a correction relating to the trajectory information based on an external input. Then, the operation planning means 17Y determines a second operation plan of the robot based on the correction received by the correction receiving means 16Y.
A process allocation control device achieves efficient control of satisfactorily utilizing an accelerator included in an information processing device by including: a reception unit that receives a request to execute a process, which can be executed by a plurality of processors having different configurations and has different characteristics of performance exhibited through execution by the different processors; a detection unit that detects the states of the plurality of processors; and an allocation unit that allocates execution of the process to at least one of the plurality of processors on the basis of the states of the plurality of processors and the characteristics of the process.
An optical sensing device includes a first point cloud data acquisition unit for acquiring first point cloud data associated with a first object and a second object that are included in a first region, a region specification unit for specifying a second region associated with the first object in the first region, a second point cloud data acquisition unit for acquiring second point cloud data associated with the first object by emitting second laser light from the light source to a plurality of second positions associated with the second region, based on second laser reflection light being reflection light of the second laser light, and a first abnormality detection unit for detecting abnormality of the first object, by using the second point cloud data.
G01S 7/48 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe
G01N 21/88 - Recherche de la présence de criques, de défauts ou de souillures
G01S 17/88 - Systèmes lidar, spécialement adaptés pour des applications spécifiques
A quantum device capable of effectively cooling a quantum chip and an area (e.g., a space) therearound is provided. A quantum device includes a quantum chip and an interposer on which the quantum chip is located. The interposer includes an interposer substrate and an interposer wiring layer. The interposer wiring layer is disposed on a surface of the interposer substrate on a side on which the quantum chip is located. The interposer wiring layer includes, in at least a part thereof, a superconducting material layer formed of a superconducting material and a non-superconducting material layer formed of a non-superconducting material.
H01L 23/498 - Connexions électriques sur des substrats isolants
G06N 10/40 - Réalisations ou architectures physiques de processeurs ou de composants quantiques pour la manipulation de qubits, p.ex. couplage ou commande de qubit
H01L 23/13 - Supports, p.ex. substrats isolants non amovibles caractérisés par leur forme
H01L 23/367 - Refroidissement facilité par la forme du dispositif
Provided is a path switching device including a wavelength separator that wavelength-separates signal light and monitoring light having a wavelength different from a wavelength of the signal light, a signal light path switcher that switches a path of the signal light, and a monitoring light path controller that controls a path of the monitoring light, wherein the monitoring light path controller sets a path of the monitoring light to one path regardless of a switching state of a path of the signal light.
H04Q 11/00 - Dispositifs de sélection pour systèmes multiplex
H04B 10/077 - 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 un signal de surveillance ou un signal supplémentaire
H04B 10/294 - Commande de la puissance du signal dans un système à plusieurs longueurs d’onde, p.ex. égalisation du gain
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
25.
ESSENTIAL MATRIX GENERATION APPARATUS, CONTROL METHOD, AND COMPUTER-READABLE MEDIUM
An essential matrix generation apparatus performs: detecting three or more feature point pairs from a first image and a second image; detecting, for each of two or more of the feature point pairs, a derived point pair that is a pair of a derived point separated by a first distance in a first direction from a point on the first image included in the feature point pair and a derived point separated by a second distance in a second direction from a point on the second image included in the feature point pair; generating an essential matrix representing an epipolar constraint on a point on the first image and a point on the second image by using the detected feature point pairs and derived point pairs.
G06V 10/75 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexte; Sélection des dictionnaires
G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p.ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]; Caractéristiques régionales saillantes
26.
EVALUATION APPARATUS, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
An evaluation apparatus according to the present disclosure includes at least one memory storing a set of instructions, and at least one processor configured to execute the set of instructions and thereby to acquire, from a sensor, time-space data on vibrations that have occurred in an overhead optical fiber strung between poles, and evaluate, for each of predetermined analysis sections, a wind velocity and a propagation speed of wind in the analysis section based on the time-space data, and evaluate a wind direction in the analysis section based on the evaluated wind velocity and the propagation speed of the wind.
G01P 5/00 - Mesure de la vitesse des fluides, p.ex. d'un courant atmosphérique; Mesure de la vitesse de corps, p.ex. navires, aéronefs, par rapport à des fluides
27.
MEASUREMENT DEVICE, MEASUREMENT SYSTEM, MEASUREMENT METHOD, AND RECORDING MEDIUM
A measurement device that includes a detection unit that detects a gait event from time-series data of sensor data related to motion of a foot, and a measurement unit that performs a measurement of lower limbs by using the sensor data for a prescribed period with a timing of the gait event as a start point, based on a geometric model on which a constraint condition related to motion of the lower limbs is imposed.
To provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus includes: an obtaining means for obtaining input data which includes at least one of image data and point cloud data; an estimating means for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means for deriving an evaluation value by referring to the replaced data; and a training means for training the estimating means with reference to the evaluation value.
An information processing device 1X mainly includes an emotion acquisition means 14X, a deviation tendency identification means 16X, and an output control means 17X. The emotion acquisition means 14X acquires a set of target emotion, which is a target of emotion of an object person, and actual emotion, which is actual emotion of the object person. The deviation tendency identification means 16X identifies a deviation tendency between the target emotion and the actual emotion with respect to a mental state, based on the set of the target emotion and the actual emotion. The output control means 17X outputs information regarding the deviation tendency identified by the deviation tendency identification means 16X.
To provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus (1) includes: an obtaining means (10) for obtaining input data which includes at least one of image data and point cloud data; an estimating means (11) for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means (12) for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means (13) for deriving an evaluation value by referring to the replaced data; and a training means (14) for training the estimating means with reference to the evaluation value.
Three-dimensional data acquisition means acquires three-dimensional data output from a three-dimensional ranging sensor for scanning a paved surface for aircraft using laser light. Extraction means extracts, from the three-dimensional data, real image data about a real image present on the paved surface and mirage image data about a mirage image corresponding to the real image. Foreign object detection means detects a foreign object left on the paved surface using the real image data and the mirage image data.
A second RAN node (2) associated with a second RAT sends a radio resource configuration of the second RAT to a radio terminal (3) via a first RAN node (1) associated with a first RAT. The radio resource configuration explicitly or implicitly indicates at least one numerology that is included in multiple numerologies supported by the second RAT and is different from a reference numerology. It is thus, for example, possible to allow a radio terminal to be configured with a numerology of a cell served by a secondary gNB or a target gNB in Inter-RAT Dual Connectivity between E-UTRA and NR and in a handover from E-UTRA to NR.
H04W 72/23 - Canaux de commande ou signalisation pour la gestion des ressources dans le sens descendant de la liaison sans fil, c. à d. en direction du terminal
H04W 36/00 - Dispositions pour le transfert ou la resélection
H04W 36/14 - Resélection d'un réseau ou d'une interface hertzienne
33.
CONTROL DEVICE, CONTROL METHOD, AND PROGRAM RECORDING MEDIUM
A control device includes a communication unit, a restriction condition calculation unit, and a control unit. The communication unit receives, from a second robot, a current position of the second robot, and restriction-related information used for controlling the second robot based on positions of a first robot and the second robot at past times. The restriction condition calculation unit calculates restriction condition candidates indicating conditions of a range in which movement is possible, based on the current position and the restriction-related information received from the second robot. The restriction condition calculation unit also identifies a restriction condition having the most recent time among the calculated restriction condition candidates. The control unit controls the position of the first robot so as to move in a manner satisfying the restriction condition identified by the restriction condition calculation unit.
A device may receive, from a fiber sensor device, sensing data associated with a fiber optic cable, the sensing data being produced by an activity that poses a threat of damage to the fiber optic cable, and the sensing data identifying: amplitudes of vibration signals, frequencies of the vibration signals, patterns of the vibration signals, times associated with the vibration signals, and locations along the fiber optic cable associated with the vibration signals. The device may process, with a machine learning model, the sensing data to determine a threat level of the activity to the fiber optic cable, the machine learning model having been trained based on historical information regarding detected vibrations, historical information regarding sources of the detected vibrations, and historical information regarding threat levels to the fiber optic cable. The device may perform one or more actions based on the threat level to the fiber optic cable.
G01H 9/00 - Mesure des vibrations mécaniques ou des ondes ultrasonores, sonores ou infrasonores en utilisant des moyens sensibles aux radiations, p.ex. des moyens optiques
G01V 1/00 - Séismologie; Prospection ou détection sismique ou acoustique
G05D 1/228 - Dispositions d’entrée de commande situées à bord de véhicules sans pilote
H04W 4/02 - Services utilisant des informations de localisation
H04W 4/44 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons pour la communication entre véhicules et infrastructures, p.ex. véhicule à nuage ou véhicule à domicile
35.
RESCUE SUPPORT APPARATUS, SYSTEM AND METHOD, AND COMPUTER READABLE MEDIUM
A rescue support apparatus includes: a registration unit configured to register biometric information and personal information of a prospective climber to be associated with each other; a reception unit configured to receive an image and positional information of a terminal of an arbitrary finder from the terminal in a case where the arbitrary finder finds a person to be rescued during mountain climbing, the image being obtained by photographing biometric information of the person to be rescued by the terminal of the finder; an authentication control unit configured to control authentication using the registered biometric information for the biometric information contained in the image; and a rescue request unit configured to transmit rescue request information to a rescue system in a case where the authentication is succeeded, the rescue request information containing the personal information associated with the biometric information and the positional information received from the terminal.
G08B 25/10 - Systèmes d'alarme dans lesquels l'emplacement du lieu où existe la condition déclenchant l'alarme est signalé à une station centrale, p.ex. systèmes télégraphiques d'incendie ou de police caractérisés par le moyen de transmission utilisant des systèmes de transmission sans fil
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
G06V 40/50 - Traitement de données biométriques ou leur maintenance
36.
MOBILE BODY AUTHENTICATION APPARATUS, MOBILE BODY AUTHENTICATION SYSTEM, MOBILE BODY AUTHENTICATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
A mobile body authentication apparatus capable of preventing an autonomously movable mobile body from illegally moving without permission is provided. A mobile body authentication apparatus includes at least one memory configured to store instructions, and at least one processor configured to execute the instructions to: acquire, from an autonomously movable mobile body, remote identification information, which is information for managing a remote operation of the mobile body, position information indicating the current position of the mobile body, time information that indicates the current time in the mobile body, and authentication information; and execute collation based on the whole of part of the information; and output the result of collation.
Provided is a work management device including an acquisition unit that acquires information indicating login to a system using a first terminal and an operation history of the first terminal occurring after login to the system, a specifying unit that specifies a non-operation period of a terminal from the operation history of the first terminal, and a calculation unit that calculates working hours including the non-operation period of the terminal according to a length of the non-operation period of the terminal.
G06Q 10/1091 - Enregistrement du temps à des fins administratives ou de gestion
G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p.ex. pour la gestion du personnel hospitalier ou de salles d’opération
38.
ARITHMETIC OPERATION SYSTEM, TRAINING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING TRAINING PROGRAM
In an arithmetic operation system, an evaluation unit calculates a difference amount between a teaching signal and an estimated signal. The teaching signal is a spatial distribution signal observed with respect to a spatial structure on a path of an emission wave in a target space (i.e., a teaching space) by using the emission wave. In addition, the estimated signal is a signal for comparing with the teaching signal, and is an estimated spatial distribution signal. The estimated signal is formed based on estimated density associated to each sample point acquired from a spatial estimation model, by a sampling unit inputting information about a position of each of a plurality of sample points on the path to the spatial estimation model. An updating unit updates the spatial estimation model, based on the difference amount.
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p.ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
G01S 7/4865 - Mesure du temps de retard, p.ex. mesure du temps de vol ou de l'heure d'arrivée ou détermination de la position exacte d'un pic
G01S 17/10 - Systèmes déterminant les données relatives à la position d'une cible pour mesurer la distance uniquement utilisant la transmission d'ondes à modulation d'impulsion interrompues
39.
TRANSMITTER, TRANSMISSION DEVICE, COMMUNICATION DEVICE, AND COMMUNICATION SYSTEM
Transmitter that includes a light source, a spatial light modulator including a modulation part that modulates illumination light emitted from the light source, a first mirror that is arranged on a first optical path of the modulated light modulated by the modulation part and reflects the modulated light toward a first projection range, and a second mirror that is arranged on a second optical path of the modulated light modulated by the modulation part and reflects the modulated light toward a second projection range around the first projection range. The first mirror and the second mirror are disposed at positions deviated from an optical path of unnecessary light included in the modulated light.
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
G02B 17/06 - Systèmes catoptriques, p.ex. systèmes redressant et renversant une image utilisant uniquement des miroirs
G02B 27/00 - Systèmes ou appareils optiques non prévus dans aucun des groupes ,
H04B 10/11 - Dispositions spécifiques à la transmission en espace libre, c. à d. dans l’air ou le vide
40.
ARITHMETIC OPERATION SYSTEM, TRAINING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING TRAINING PROGRAM
In an arithmetic operation system, an evaluation unit calculates a difference amount between a teaching signal and an estimated signal. The teaching signal has a value that is obtained by integrating spatial distribution signals observed by a sensor using emission waves for a spatial structure along a region of interest in an emission wave region in which emission waves are emitted from a plurality of emission reference directions and reach the sensor. The region of interest is a curved line region or a curved surface region intersecting the plurality of emission reference directions. This estimated signal is calculated by integrating a plurality of pieces of estimated density of a plurality of sample points obtained from a spatial estimation model by having a sampling unit input information about a position of each of the plurality of sample points on the region of interest to the spatial estimation model.
G01S 17/89 - Systèmes lidar, spécialement adaptés pour des applications spécifiques pour la cartographie ou l'imagerie
41.
UPDATE INFORMATION GENERATION APPARATUS, QUALIFICATION INFORMATION MANAGEMENT SYSTEM, UPDATE INFORMATION GENERATION METHOD, AND COMPUTER READABLE MEDIUM
An update information generation apparatus includes at least one memory configured to store dynamic information on a qualification regarding a mobile body and instructions, and at least one processor configured to execute the instructions to acquire plan information regarding an operation plan for operating the mobile body, acquire achievement information that corresponds to the plan information of the mobile body, calculate an evaluation score for updating static information on the qualification based on the dynamic information, the plan information, and the achievement information, and output update information including the evaluation score and an identifier to a static information management apparatus that manages the static information.
The purpose of the present disclosure is to detect the occurrence of engineering work in the surroundings of a utility pole or a pylon using a simple configuration. This engineering work detection device comprises: an optical signal reception unit for receiving an optical signal from an optical fiber cable installed by a method of overhead installation via a utility pole or a pylon; and at least one memory configured to store instructions; and at least one processor configured to execute the instructions to detect, on the basis of a pattern of vibration of the utility pole or the pylon indicated by the optical signal, the occurrence of engineering work in the surroundings of the utility pole or the pylon.
G01H 9/00 - Mesure des vibrations mécaniques ou des ondes ultrasonores, sonores ou infrasonores en utilisant des moyens sensibles aux radiations, p.ex. des moyens optiques
G01M 11/00 - Test des appareils optiques; Test des structures ou des ouvrages par des méthodes optiques, non prévu ailleurs
43.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
An information processing apparatus in the present invention includes: an acquisition unit that acquires, from a captured image obtained by capturing a passenger who is boarding on an airplane and has not yet passed through a boarding gate corresponding to the airplane, biometric information of the passenger; a specifying unit that specifies boarding reservation information regarding the boarding by using the acquired biometric information; and an output unit that outputs information used for supporting a procedure of the passenger at the boarding gate based on the specified boarding reservation information.
G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p.ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
G07C 9/37 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer combiné à une vérification d’identité utilisant des données biométriques, p.ex. des empreintes digitales, un balayage de l’iris ou une reconnaissance de la voix
G07C 9/38 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer une station centrale gérant l’enregistrement
44.
COMMUNICATION DEVICE INCLUDING NESTED MODULATOR AND BIAS CONTROL METHOD FOR NESTED MODULATOR
A communication device includes a nested modulator composed of sub modulators and a phase shifter. The nested modulator is controlled by: modulating a double pulse by phase and intensity modulation according to transmission information, wherein the double pulse thus modulated is transmitted to another communication device; controlling bias voltages applied respectively to the sub modulators so that a first error rate on the intensity modulation is minimized; and controlling a bias voltage applied to the phase shifter so that a second error rate on the phase modulation is minimized.
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 10/508 - Génération d’impulsions, p.ex. génération de solitons
45.
MACHINE LEARNING KNOWLEDGE MANAGEMENT BASED ON LIFELONG BOOSTING IN PRESENCE OF LESS DATA
A method for lifelong machine learning using boosting includes receiving a new task and a learning sample for the new task. A distribution of weights is learned over the learning sample using previously learned classifiers from old tasks. A set of task-specific classifiers are learned for the new task using a boosting algorithm and the distribution of weights over the learning sample, whereby the distribution of weights over the learning sample is updated using the task-specific classifiers for the new task.
Embodiments of the present disclosure relate to methods, devices and computer readable media for communication of a RS. According to embodiments of the present disclosure, the terminal device receives information indicating a set of resources for transmitting a reference signal from the network device. If the terminal device receives an indication in a first slot for triggering a transmission of the reference signal, the terminal device determines a second slot for transmitting the reference signal. The terminal device determines whether the second slot is valid based on a slot configuration. In this way, it can avoid the SRS transmission timing ambiguous or misalignment between terminal device and network.
H04W 72/232 - Canaux de commande ou signalisation pour la gestion des ressources dans le sens descendant de la liaison sans fil, c. à d. en direction du terminal les données de commande provenant de la couche physique, p.ex. signalisation DCI
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
H04L 5/00 - Dispositions destinées à permettre l'usage multiple de la voie de transmission
H04W 72/1268 - Jumelage du trafic à la planification, p.ex. affectation planifiée ou multiplexage de flux de flux de données en liaison ascendante
47.
INFERENCE DEVICE, INFERENCE METHOD, AND RECORDING MEDIUM
In an inference device, an observation input means receives an observation as an input. A hypothesis candidate generation means generates hypothesis candidates by applying inference knowledge to the observation in the backward direction. The problem conversion means converts the hypothesis candidate into an ILP problem or a SAT problem. An equivalent problem generation means generates a specified number of equivalent ILP problems or equivalent SAT problems in which an order of the variables included in the converted ILP problem or SAT problem is changed. The solver parallelization means solves the generated equivalent ILP problems or equivalent SAT problems by executing a specified number of identical ILP solvers or SAT solvers in parallel. The optimal solution output means outputs a result of the ILP solver or the SAT solver that output the result first, among the specified number of ILP solvers or SAT solvers, as the optimal solution.
The image processing device 1X includes an acquisition means 30X, a variation detection means 311X, a selection means 312X, and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The variation detection means 311X detects a degree of variation between the endoscopic images. The selection means 312X selects either one of a first model or a second model based on the degree of variation, the first model making an inference regarding a lesion of the examination target based on a predetermined number of the endoscopic images, the second model making an inference regarding the lesion based on a variable number of the endoscopic images. The lesion detection means 34X detects the lesion based on a selection model that is either the first model or the second model selected.
An information processing apparatus according to the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: generate, for each of a plurality of virtual cameras in a three-dimensional space, a virtual camera image shot by the respective one of the virtual cameras on the basis of point cloud data of the three-dimensional space; and estimate, on the basis of similarity between the virtual camera image generated by having the processor execute the generation instruction and a camera image shot by a camera, location and orientation of the camera when it shot the camera image.
In the endoscopic examination support apparatus, the three-dimensional model generation means generates a three-dimensional model of a luminal organ in which an endoscope camera is placed, based on endoscopic images obtained by imaging an interior of the luminal organ with the endoscope camera. The unobserved area detection means detects an area estimated not to be observed by the endoscope camera, as an unobserved area, based on the three-dimensional model. The display image generation means generates a display image including at least one of information indicating a position of the unobserved area in the endoscopic image, and information indicating a direction of the unobserved area outside the endoscopic image. The endoscopic examination support apparatus may be used to support user's decision making.
G06T 17/00 - Modélisation tridimensionnelle [3D] pour infographie
A61B 1/00 - Instruments pour procéder à l'examen médical de l'intérieur des cavités ou des conduits du corps par inspection visuelle ou photographique, p.ex. endoscopes; Dispositions pour l'éclairage dans ces instruments
G06T 7/55 - Récupération de la profondeur ou de la forme à partir de plusieurs images
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G16H 50/50 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour la simulation ou la modélisation des troubles médicaux
51.
METHOD, DEVICE AND COMPUTER STORAGE MEDIUM OF COMMUNICATION
Embodiments of the present disclosure relate to methods, devices and computer readable media for communication. A method of communication comprises receiving, at a terminal device and from a network device of a communication network, a configuration comprising a pattern of a gap and a RRC reconfiguration to be applied during the gap for reduction of a capability of the terminal device to communicate with the communication network; and applying the RRC reconfiguration upon a start of the gap. Thereby, the capability of the terminal device can be flexibly coordinated, and thus services at networks of USIMs can be performed in a more flexible and efficient way.
An index value estimation device including a data acquisition unit that acquires feature amount data including a feature amount extracted from sensor data related to a motion of a foot of a user and used for estimating an index value indicating a knee state of the user, a storage unit that stores an estimation model that outputs an index value according to an input of the feature amount data, an estimation unit that estimates an output obtained by inputting the acquired feature amount data to the estimation model as an index value indicating the knee state of the user, and an output unit that outputs information about the estimated index value indicating the knee state of the user.
The loading container information input means 71 accepts input of information on the target container. The Inquiring means 72 transmits current loading state and information on the target container to the container loading planning device 80 to inquire about the loading position of the target container. The evaluation means 73 outputs an evaluation value for loading the target container at the received loading position. The output means 74 outputs data including the loading state and information of the target container, the loading position of the target container, and the evaluation value as training data. The learning means 91 learns the model by machine learning using the output training data. The loading position determination means 81 determines the loading position of the target container using the learned model.
Provided is a portable device which make it possible to facilitate analysis, in cooperation with an external system, on data obtained by optical fiber sensing. A portable device comprises: a sensing unit configured to execute optical fiber sensing using an optical fiber cable; an analysis unit configured to execute primary analysis processing on sensing data obtained by the optical fiber sensing; a communication unit configured to transmit data containing the results of the primary analysis processing to an external analysis unit configured to execute, outside the portable device, secondary analysis processing based on the results of the primary analysis processing; and a housing which accommodates the sensing unit, the analysis unit, and the communication unit.
G01D 5/353 - Moyens mécaniques pour le transfert de la grandeur de sortie d'un organe sensible; Moyens pour convertir la grandeur de sortie d'un organe sensible en une autre variable, lorsque la forme ou la nature de l'organe sensible n'imposent pas un moyen de conversion déterminé; Transducteurs non spécialement adaptés à une variable particulière utilisant des moyens optiques, c. à d. utilisant de la lumière infrarouge, visible ou ultraviolette avec atténuation ou obturation complète ou partielle des rayons lumineux les rayons lumineux étant détectés par des cellules photo-électriques en modifiant les caractéristiques de transmission d'une fibre optique
55.
INFORMATION PROCESSING APPARATUS, SERVER DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
An information processing apparatus related to the present example embodiment comprising: an acquisition unit for acquiring visitor registration information of a person permitted to enter a management area by a first biometrics authentication; and a control unit for performing a second biometrics authentication for a predetermined transaction in the management area using the visitor registration information.
G06Q 20/40 - Autorisation, p.ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasin; Examen et approbation des payeurs, p.ex. contrôle des lignes de crédit ou des listes négatives
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p.ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
G07C 9/10 - Barrières mobiles avec moyens d’enregistrement
G07C 9/37 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer combiné à une vérification d’identité utilisant des données biométriques, p.ex. des empreintes digitales, un balayage de l’iris ou une reconnaissance de la voix
G07C 9/38 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer une station centrale gérant l’enregistrement
56.
LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
A learning device 1X mainly includes an optimization problem calculation means 51X and an executable state set learning means 52X. The optimization problem calculation means 51X calculates a function value to be a solution for an optimization problem which uses an evaluation function for evaluating reachability to a target state, based on an abstract system model and a detailed system model concerning a system in which a robot operates. The executable state set learning means 52X learns an executable state set of an action of the robot to be executed by a controller based on a function value.
In order to enhance the accuracy of identifying an object included in an image, an information processing apparatus (10) includes: a first specifying section (11) that specifies, as a region in which the object in the image exists, a plurality of regions having respective different reference positions or respective different reference directions; a second specifying section (12) that specifies an identification region for the object on the basis of the plurality of regions specified by the first specifying section (11); and an identifying section (13) that identifies the object on the basis of the identification region specified by the second specifying section (12).
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo
A reporting system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a customer image obtained by capturing an image of a customer in a shop; estimate an age of the customer from the customer image; detect an action related to retrieval of an age-restricted product displayed in the shop; and report retrieval of the age-restricted product by the customer based on an estimated age of the customer and a result of the detection.
Example embodiments of the present disclosure relate to UP transmission for a device in an inactive mode. A first network device transmits data received from a terminal device in an inactive mode via a connection established for the terminal device between the first network device and the second network device to a second network device, and transmits, to the second network device, a first indication indicating a termination of a data transmission related with the terminal device if a first condition is met. Through this solution, the connection established for the terminal device in the inactive mode between the first network device and the second network device to a second network device may be terminated suitable.
A communication apparatus includes a processing unit, a judgement unit, and a communication unit. The processing unit generates state information indicating a state of a target person by processing an image in which the target person is captured. The judgement unit performs, by using the state information, at least one of processing of determining first information needed to be transmitted to a first terminal and processing of deciding whether to transmit the first information to the first terminal. The first terminal is associated with the target person, and is operated by a different person from the target person. The communication unit transmits the first information to the first terminal. The communication apparatus can also support decision-making on how to respond to the target person.
A61B 5/16 - Dispositifs pour la psychotechnie; Test des temps de réaction
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
G16H 20/10 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des médicaments ou des médications, p.ex. pour s’assurer de l’administration correcte aux patients
61.
IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING METHOD
A query acquisition unit (109) acquires a first query moving image having a plurality of time-series first frame images and at least one second query moving image having a plurality of time-series second frame images. A feature value computing unit (103) computes a feature value of a keypoint detected from an object being included in each of the first frame images and the second frame images. A correspondence relationship determination unit (114) determines a second frame image associated with each of the plurality of first frame images. An integration unit (113) performs, for a plurality of combinations of the first frame image and the second frame image associated with each other, processing of integrating the feature values computed from each of the first frame image and the second frame image, and thereby generates an integrated query in which the integrated feature values are arranged in time series.
G06F 16/483 - 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
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p.ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersections; Analyse de connectivité, p.ex. de composantes connectées
G06V 10/80 - Fusion, c. à d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
62.
COMMUNICATION APPARATUS, COMMUNICATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
A communication apparatus includes an authentication unit and a communication unit. The authentication unit authenticates a target person. The communication unit transmits and receives information to and from a first terminal associated with the target person when the authentication has succeeded. In other words, the communication apparatus performs bidirectional communication with the first terminal. The first terminal is operated by, for example, a different person from the target person. At least a part of information transmitted by the communication unit to the first terminal is related to the target person. Further, at least a part of information received by the communication unit from the first terminal includes information from a person who operates the first terminal to the target person.
Provided is a work management device including an acquisition unit that acquires information indicating login to a system using a first terminal and an operation history of the first terminal occurring after login to the system, a specifying unit that specifies a non-operation period of a terminal from the operation history of the first terminal, and a calculation unit that calculates working hours including the non-operation period of the terminal according to a length of the non-operation period of the terminal.
G06Q 10/1091 - Enregistrement du temps à des fins administratives ou de gestion
G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p.ex. pour la gestion du personnel hospitalier ou de salles d’opération
64.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
The information processing apparatus includes: an acquisition unit for acquiring an image including a face image of a person; and a selection unit for selecting the image in which the part other than the face of a target person is captured among the plurality of images by using the position of the face image of a person other than the target person in the acquired image.
In the endoscopic examination support apparatus, the image acquisition means acquires captured images during removal of an endoscope. The posture change estimation means estimates a relative posture change of an endoscope camera from the captured images. The distance estimation means estimates a distance between a surface of colon and the endoscope camera from the captured images. The intestinal tract direction estimation means estimates an intestinal tract direction of the colon based on the posture change and the distance. The calculation means calculates a direction in which the endoscope camera should be directed, based on the intestinal tract direction and the relative posture of the endoscope camera. The output means outputs a display image including the direction in which the endoscope camera should be directed, to a display device. The display image can be used for support such as user's decision making.
A61B 1/00 - Instruments pour procéder à l'examen médical de l'intérieur des cavités ou des conduits du corps par inspection visuelle ou photographique, p.ex. endoscopes; Dispositions pour l'éclairage dans ces instruments
A61B 1/31 - Instruments pour procéder à l'examen médical de l'intérieur des cavités ou des conduits du corps par inspection visuelle ou photographique, p.ex. endoscopes; Dispositions pour l'éclairage dans ces instruments pour le rectum, p.ex. proctoscopes, sigmoïdoscopes
66.
COMMUNICATION APPARATUS, COMMUNICATION SYSTEM, COMMUNICATION CONTROL METHOD, AND RECORDING MEDIUM
A communication apparatus including a transmitter that transmits modulated light modulated by a modulation part of a spatial light modulator as a first spatial light signal, a receiver that receives a second spatial light signal transmitted from a communication target, a detector that detects a physical quantity related to oscillation of the own apparatus, and a communication control unit that acquires the physical quantity detected by the detector and information on oscillation of the communication target included in the second spatial light signal, analyzes a state of the oscillation of the communication target using the information on the oscillation of the communication target and the physical quantity, and sets a transmission condition of the first spatial light signal in the transmitter according to the analyzed state of the oscillation of the communication target.
Provided is an image processing apparatus which makes it possible to, during remote control, carry out suitable monitoring while suitably suppressing a transmission load. An image processing apparatus includes: an obtaining means for obtaining an image which has been captured from a movable body; an importance level estimating means for estimating levels of importance with respect to a respective plurality of regions included in the image; and a quality parameter determining means for determining quality parameters with respect to the respective plurality of regions with reference to the levels of importance.
H04N 19/463 - Inclusion d’information supplémentaire dans le signal vidéo pendant le processus de compression par compression des paramètres d’encodage avant la transmission
H04N 19/17 - 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
H04N 19/42 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques - caractérisés par les détails de mise en œuvre ou le matériel spécialement adapté à la compression ou à la décompression vidéo, p.ex. la mise en œuvre de logiciels spécialisés
H04N 19/48 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant des techniques de traitement dans le domaine compressé autres que le décodage, p.ex. modification de coefficients de transformées, de données de codage à longueur variable ou de données de codage par longueur de plage
68.
DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM
A data processing device that includes a classification unit that classifies at least one piece of living-body information data into at least one group based on an attribute of at least one user, the at least one piece of living-body information data including a sensor value relating to a living body of the user, and a measurement time and a measurement position of the sensor value, and a learning unit that generates, for each of the group, a model for estimating interpolation data for interpolating a deficit of the living-body information data using a correlation among the sensor value included in the living-body information data, the measurement time, and the measurement position.
G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p.ex. pour analyser les cas antérieurs d’autres patients
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
69.
ARITHMETIC OPERATION SYSTEM, TRAINING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING TRAINING PROGRAM
In an arithmetic operation system, an updating unit updates a spatial estimation model, based on a first difference amount and a second difference amount. The first difference amount is a difference amount between a first teaching signal and a first estimated signal. The first teaching signal is a spatial distribution signal observed by a first sensor with respect to a spatial structure on a path of an emission wave in a target space (i.e., a teaching space) by using the emission wave. The second difference amount is a difference amount between a second teaching signal and a second estimated signal. The second teaching signal is an observed signal observed by a second sensor different in type from the first sensor. The second estimated signal is a signal for comparing with the second teaching signal, and is a signal of a form similar to that of the second teaching signal.
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p.ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
G01S 7/4865 - Mesure du temps de retard, p.ex. mesure du temps de vol ou de l'heure d'arrivée ou détermination de la position exacte d'un pic
G01S 17/10 - Systèmes déterminant les données relatives à la position d'une cible pour mesurer la distance uniquement utilisant la transmission d'ondes à modulation d'impulsion interrompues
70.
TRANSMITTER, TRANSMISSION DEVICE, COMMUNICATION DEVICE, AND COMMUNICATION SYSTEM
A transmitter includes a light source including a first light emitter and a second light emitter, a spatial light modulator including a modulation part that modulates light emitted from the light source, a first mirror that is arranged on a first optical path of the modulated light modulated by the modulation part and reflects the modulated light toward a first projection direction, and a second mirror that is arranged on a second optical path of the modulated light modulated by the modulation part and reflects the modulated light toward the first projection direction.
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
A target RAN node (3) receives, from a core network (5), a message requesting a handover of a radio terminal (1) from a bearer-based network to a bearer-less network. This handover request message includes flow information related to at least one session to be established in the bearer-less network in order to transfer at least one packet flow of the radio terminal (1). The target RAN node (3) transmits, to the core network (5), a handover acknowledge response message containing a transparent container that includes a radio resource configuration information derived from the flow information and is to be forwarded to a source RAN node associated (2) through the core network (5). It is thus, for example, possible to appropriately configuring an AS layer of a target RAT in an inter-RAT handover.
A method for lifelong machine learning using boosting includes receiving a new task and a learning sample for the new task. A distribution of weights is learned over the learning sample using previously learned classifiers from old tasks. A set of task-specific classifiers are learned for the new task using a boosting algorithm and the distribution of weights over the learning sample, whereby the distribution of weights over the learning sample is updated using the task-specific classifiers for the new task.
An information processing apparatus (10) includes: an acquisition means (11) for acquiring information based on a sensor that measures information regarding a road; a generation means (12) for generating information indicating an accident situation according to an insurer based on the information acquired by the acquisition means; and a transmission means (13) for transmitting the information indicating the accident situation generated by the generation means to an apparatus of the insurer.
The image processing device 1X includes an acquisition means 31X, a mask image generation means 32X, and an identification means 33X. The acquisition means 31X acquires a captured image acquired by photographing an inspection target by a photographing unit provided in an endoscope. The mask image generation means 32X generates a plurality of mask images which indicate candidate areas of an attention part in the captured image by different levels of granularity. The identification means 33X identifies the attention part based on the plurality of the mask images.
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
G06V 10/74 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques
G06V 10/771 - Sélection de caractéristiques, p.ex. sélection des caractéristiques représentatives à partir d’un espace multidimensionnel de caractéristiques
75.
WALKING INDEX CALCULATION DEVICE, WALKING INDEX CALCULATION SYSTEM, WALKING INDEX CALCULATION METHOD, AND PROGRAM RECORDING MEDIUM
A walking index calculation device that includes a waveform generation unit configured to generate a walking waveform by using sensor data regarding motion of a foot acquired by a sensor installed in footwear; a detection unit configured to detect a timing at which a clearance of a toe is minimized from the walking waveform; and a calculation unit configured to calculate a minimum value of the clearance of the toe by using a walking parameter at the timing at which the clearance of the toe is minimized.
G06V 10/75 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexte; Sélection des dictionnaires
76.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
An information processing apparatus in the present invention includes: an acquisition unit that acquires, from a captured image obtained by capturing a passenger who is boarding on an airplane and has not yet passed through a boarding gate corresponding to the airplane, biometric information of the passenger; a specifying unit that specifies boarding reservation information regarding the boarding by using the acquired biometric information; and an output unit that outputs information used for supporting a procedure of the passenger at the boarding gate based on the specified boarding reservation information.
G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p.ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
G07C 9/37 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer combiné à une vérification d’identité utilisant des données biométriques, p.ex. des empreintes digitales, un balayage de l’iris ou une reconnaissance de la voix
G07C 9/38 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer une station centrale gérant l’enregistrement
77.
VIDEO ENCODING DEVICE, VIDEO DECODING DEVICE, AND VIDEO ENCODING METHOD
The video coding device is a video coding device capable of executing a predictive coding process including a specific process in which a coded frame of a different resolution from a resolution of a frame to be processed is used as a reference frame, and includes a coding unit which executes the predictive coding process, and a controller which prohibits, in the predictive coding process, execution of a first process which uses information, which is determined based on a spatial position of the block to be coded, on blocks in frames at different times, a second process which performs correction using information computed when decoding is performed, or both the first process and the second process.
H04N 19/139 - Analyse des vecteurs de mouvement, p.ex. leur amplitude, leur direction, leur variance ou leur précision
H04N 19/132 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’élément, le paramètre ou la sélection affectés ou contrôlés par le codage adaptatif Échantillonnage, masquage ou troncature d’unités de codage, p.ex. ré-échantillonnage adaptatif, saut de trames, interpolation de trames ou masquage de coefficients haute fréquence de transformée
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
78.
POSITION DETERMINATION APPARATUS, POSITION DETERMINATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
A control unit (150) of a flying body includes a reference information acquisition unit (151), a surrounding information acquisition unit (152), and a position determination unit (153). The reference information acquisition unit (151) acquires reference map information being three-dimensional map information of an area in which a flying body is to be flown. The surrounding information acquisition unit (152) acquires surrounding information indicating a three-dimensional shape around the flying body. The surrounding information is generated by, for example, a sensor mounted on the flying body. The position determination unit (153) determines a three-dimensional position of the flying body in the reference map information by using the reference map information and the surrounding information.
A system includes a user terminal and a plurality of ledger nodes. The user terminal is used by an author of an item. The plurality of ledger nodes provides an electronic bulletin board. The user terminal writes an ownership right certificate including an object fingerprint of the item and biometric information of the author who is a resale royalty holder on the electronic bulletin board when the author establishes a resale royalty right on the item.
In an order prediction device, an acquisition means acquires event data related to an event. A prediction means predicts a degree of interest with respect to each data item included in the event data and an order prediction by using an attention mechanism based on the event data. An output means outputs, as a prediction result, the degree of interest and an order probability.
An information processing apparatus includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: generate a virtual camera image shot by a virtual camera in a specific location and orientation in a three-dimensional space on the basis of point cloud data of the three-dimensional space; and estimate, on the basis of the virtual camera image, a camera image shot by a camera, and the point cloud data, a location of the camera when it shot the camera image from a location in the same space as the specific location in the three-dimensional space.
G06T 7/80 - Analyse des images capturées pour déterminer les paramètres de caméra intrinsèques ou extrinsèques, c. à d. étalonnage de caméra
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p.ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersections; Analyse de connectivité, p.ex. de composantes connectées
The present invention makes it possible to allow a customer to insert money into a payment device without the customer giving the money to a sales clerk. Provided is a POS device, including a product registration device (10) and a payment device (20). Registration of products is carried out with the product registration device (10). Payment for the products which are registered with the product registration device (10) is carried out with the payment device (20). The payment device (20) further comprises a first insertion port (212a) and a second insertion port (212b). It is possible to insert coins into the first insertion port (212a). It is possible to insert coins into the second insertion port (212b).
G07G 1/12 - Caisses enregistreuses à commande électronique
G06Q 20/18 - Architectures de paiement impliquant des terminaux en libre-service, des distributeurs automatiques, des bornes ou des terminaux multimédia
G07F 5/24 - Mécanismes actionnés par des pièces de monnaie; Verrouillages rendant la monnaie
G07F 9/04 - Moyens pour restituer les pièces de monnaie en excédent ou non utilisées
The present disclosure makes it possible to effectively reduce power consumption of a roadside wireless communication apparatus. A determination means (21) determines whether a moving body exists on a roadway leading to an intersection. A control means (22) controls a transmission output of a wireless signal being output from a wireless communication apparatus (30), based on a lighting state of a traffic light installed at the intersection and a determination result of the determination means (21).
H04W 4/44 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons pour la communication entre véhicules et infrastructures, p.ex. véhicule à nuage ou véhicule à domicile
84.
INFORMATION PROCESSING APPARATUS, POSITION ESTIMATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
An information processing apparatus according to the present disclosure includes: a projection unit configured to arrange a predetermined number of virtual points in a front direction of an imaging device that captures a first image, by using an estimated position of the imaging device as a starting point, and project the virtual points onto each of a plurality of images used for generating an environment map being three-dimensional information; an image extraction unit configured to extract a second image from the plurality of images, based on a result of the projection of the virtual points; and an estimation unit configured to estimate, by using a feature point included in a target image being a target for estimating a position and a pose of an imaging device and a feature point included in the second image, aa position and a pose of the imaging device that captures the target image.
An information processing apparatus (1) includes: an acquisition unit (11) that acquires information regarding a position of each of a plurality of communication terminals connected to a network; a first identification unit (12) that identifies a communication terminal located in a disaster region among the plurality of communication terminals as a first disaster response terminal based on an acquisition result; a second identification unit (13) that identifies a second disaster response terminal communicating with the first disaster response terminal based on a communication record; and a charging unit (14) that generates charging data for communication such that charging is not performed for communication from the first disaster response terminal and the second disaster response terminal.
A data processing device that includes a classification unit that classifies at least one piece of living-body information data into at least one group based on an attribute of at least one user, the at least one piece of living-body information data including a sensor value relating to a living body of the user, and a measurement time and a measurement position of the sensor value, and a learning unit that generates, for each of the group, a model for estimating interpolation data for interpolating a deficit of the living-body information data using a correlation among the sensor value included in the living-body information data, the measurement time, and the measurement position.
G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p.ex. pour analyser les cas antérieurs d’autres patients
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
87.
CONTAINER MANAGEMENT DEVICE, CONTAINER LOADING MANAGEMENT SYSTEM, METHOD, AND PROGRAM
The loading container information input means 71 accepts input of information on the target container which is the container to be loaded next. The inquiring means 72 transmits current loading state and information on the target container to a container loading planning device, which replies to a loading position of the container in response to an inquiry, to inquire about the loading position of the target container. The evaluation means 73 outputs an evaluation value for loading the target container at the loading position received from the container loading planning device. The output means 74 outputs the evaluation value in time series order corresponding to the loading of the target container.
A notification device according to an example embodiment of the present disclosure includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: detect occurrence of an accident from a video captured by one or a plurality of cameras, analyze the video to derive detailed information regarding an analysis target person involved with the accident, determine a coping method for the analysis target person on the basis of the detailed information; and notify the notification target of the determined coping method.
G06V 20/52 - Activités de surveillance ou de suivi, p.ex. pour la reconnaissance d’objets suspects
G06V 20/40 - RECONNAISSANCE OU COMPRÉHENSION D’IMAGES OU DE VIDÉOS Éléments spécifiques à la scène dans le contenu vidéo
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
G08B 21/04 - Alarmes pour assurer la sécurité des personnes réagissant à la non-activité, p.ex. de personnes âgées
G08B 25/10 - Systèmes d'alarme dans lesquels l'emplacement du lieu où existe la condition déclenchant l'alarme est signalé à une station centrale, p.ex. systèmes télégraphiques d'incendie ou de police caractérisés par le moyen de transmission utilisant des systèmes de transmission sans fil
89.
OPTICAL RELAY APPARATUS, OPTICAL TRANSMISSION SYSTEM, AND OPTICAL RELAY METHOD
An optical transceiver (101) of an optical relay apparatus includes: a coherent reception front-end unit (110) that coherently detects an input optical signal to be input, based on local oscillation light, and outputs the coherently detected first analog electric signal; a coherent transmission front-end unit (120) that coherently modulates a second analog electric signal acquired by turning around the first analog electric signal, based on transmission light, and outputs the coherently modulated output optical signal; and an analog compensation unit (130) that performs analog signal processing on the first analog electric signal in such a way as to compensate for signal quality according to a signal characteristic between an input of the coherent reception front-end unit (110) and an output of the coherent transmission front-end unit (120), and thereby generates the second analog electric signal.
H04B 10/40 - 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-récepteurs
A data processing device that includes a classification unit that classifies at least one piece of living-body information data into at least one group based on an attribute of at least one user, the at least one piece of living-body information data including a sensor value relating to a living body of the user, and a measurement time and a measurement position of the sensor value, and a learning unit that generates, for each of the group, a model for estimating interpolation data for interpolating a deficit of the living-body information data using a correlation among the sensor value included in the living-body information data, the measurement time, and the measurement position.
G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p.ex. pour analyser les cas antérieurs d’autres patients
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
91.
AUTHENTICATION INFORMATION MANAGEMENT DEVICE, SYSTEM, AND METHOD, AND COMPUTER-READABLE MEDIUM
An authentication information management device includes: an acquisition unit configured to acquire a provisional registration request including first biometric information of a user and a deposit amount; a registration unit configured to register provisional registration information in which a payment balance based on the deposit amount included in the provisional registration request has been associated with the first biometric information; an authentication control unit configured to control first biometric authentication using the first biometric information for second biometric information in response to a payment request including the second biometric information and a payment amount; a payment unit configured to pay the payment amount using the payment balance associated with the first biometric information in a case in which the first biometric authentication has succeeded; and a usage control unit configured to control a use of the provisional registration information.
G06Q 20/40 - Autorisation, p.ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasin; Examen et approbation des payeurs, p.ex. contrôle des lignes de crédit ou des listes négatives
92.
RECEPTION DEVICE, COMMUNICATION DEVICE, AND COMMUNICATION SYSTEM
A reception device includes a ball lens, a first light receiver including a first annular body surrounding a periphery of the ball lens, and light receiving units including first light receiving elements disposed on an inner peripheral side surface of the first annular body, and a second light receiver including a second annular body surrounding an outer periphery of the first annular body and second light receiving elements disposed on an outer peripheral side surface of the second annular body. The first light receiving elements are disposed on the inner peripheral side surface of the first annular body with the light receiving part facing the ball lens. The second light receiving elements are disposed on the outer peripheral side surface of the second annular body with the light receiving part facing in a direction opposite to the ball lens.
To generate information appropriate for a receiver of the information, a federated learning apparatus includes: a training section which trains a first prediction model that predicts an evaluation value corresponding to a combination of a user and an evaluation target on which the evaluation value is not obtained, using a first training data set including (i) evaluation values of users on evaluation targets and (ii) attribute values of the evaluation targets; a parameter information transmitting section which transmits, to a server apparatus, first parameter information indicating the first prediction model; a parameter information obtaining section which obtains, from the server apparatus, integrated parameter information obtained by integrating the first parameter information and second parameter information indicating a second prediction model trained using a second training data set; and an updating section which updates the first prediction model by replacing the first parameter information with the integrated parameter information.
The image processing device 1X includes an acquisition means 30X and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The lesion detection means 34X detects a lesion based on a selection model which is selected from a first model and a second model, the first model being configured to make an inference regarding a lesion of the examination target based on a predetermined number of endoscopic images, the second model being configured to make an inference regarding a lesion of the examination target based on a variable number of endoscopic images. Besides, the lesion detection means 34X changes a parameter to be used for detection of the lesion based on a non-selection model that is the first model or the second model other than the selection model.
A61B 1/00 - Instruments pour procéder à l'examen médical de l'intérieur des cavités ou des conduits du corps par inspection visuelle ou photographique, p.ex. endoscopes; Dispositions pour l'éclairage dans ces instruments
G06T 11/20 - Traçage à partir d'éléments de base, p.ex. de lignes ou de cercles
G16H 50/50 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour la simulation ou la modélisation des troubles médicaux
95.
TARGET OBJECT DETECTION APPARATUS, TARGET OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
A target object detection apparatus (20) includes an acquisition unit (210), a likelihood information generation unit (220), and a determination unit (230). The acquisition unit (210) acquires an IF signal from an irradiation apparatus (10) at a plurality of timings. The likelihood information generation unit (220) executes, by processing the IF signal, processing of generating, with respect to each of a plurality of IF signals, likelihood information for a region (hereinafter, referred to as a target object region) having a possibility in that an accompaniment, i.e., a target object is present. The likelihood information indicates a distribution of presence probabilities of a target object in at least a height direction in a target object region. Then, the determination unit (230) determines a presence or absence of a target object, by using likelihood information generated for each of a plurality of target object regions.
An information processing apparatus related to the present example embodiment comprising: an acquisition unit for acquiring visitor registration information of a person permitted to enter a management area by a first biometrics authentication; and a control unit for performing a second biometrics authentication for a predetermined transaction in the management area using the visitor registration information.
G06Q 20/40 - Autorisation, p.ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasin; Examen et approbation des payeurs, p.ex. contrôle des lignes de crédit ou des listes négatives
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p.ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
G07C 9/10 - Barrières mobiles avec moyens d’enregistrement
G07C 9/37 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer combiné à une vérification d’identité utilisant des données biométriques, p.ex. des empreintes digitales, un balayage de l’iris ou une reconnaissance de la voix
G07C 9/38 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer une station centrale gérant l’enregistrement
97.
INFORMATION PROCESSING APPARATUS, MOVING BODY CONTROL SYSTEM, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
The information processing apparatus includes an extraction unit configured to extract at least one first photographed image, the first photographed image being similar to a second photographed image which is photographed by using a second photographing apparatus mounted on a moving apparatus, the moving apparatus being moving in a predetermined region, from a plurality of first photographed images which are photographed by using a first photographing apparatus for creating a three-dimensional image of the predetermined region, an estimation unit configured to estimate a first photographing orientation of the first photographing apparatus, the first photographing apparatus photographing the first photographed image which is extracted, and a second photographing orientation of the second photographing apparatus at a time when the second photographed image is photographed, and a control unit configured to control an action of the moving apparatus based on the first photographing orientation and the second photographing orientation.
G05D 1/243 - Moyens de capture de signaux provenant naturellement de l’environnement, p. ex. signaux optiques, acoustiques, gravitationnels ou magnétiques ambiants (utilisant des aides à la navigation passive extérieures au véhicule G05D 1/244;utilisant des signaux provenant de capteurs de positionnement situés à l’extérieur du véhicule G05D 1/249)
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
A connection state identification system includes an identification information addition means and an identification information acquisition means. When an inspection optical signal, which is an optical signal for inspection transmitted by a first optical communication device to a second optical communication device, is received by the second optical communication device over inter-optical communication device optical paths, which are the optical paths included in the undersea optical cable system between the optical communication devices, the identification information addition means adds, to an unassigned frequency band of the inspection optical signal, the unassigned frequency band being a frequency band other than a frequency band assigned to optical communication, identification information differing for each inter-optical communication device optical path through which the inspection optical signal passes. The identification information acquisition means outputs the identification information in the inspection optical signal received by the second optical communication device.
H04B 10/073 - Dispositions pour la surveillance ou le test de systèmes de transmission; Dispositions pour la mesure des défauts de systèmes de transmission utilisant un signal hors service
H04B 10/077 - 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 un signal de surveillance ou un signal supplémentaire
99.
EVALUATION APPARATUS, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
An evaluation apparatus includes a combination acquisition unit and an evaluation unit. The combination acquisition unit acquires combination determination information from an indicator selection apparatus. The combination determination information determines a combination of a category variable being one of a plurality of indicators related to an evaluation target and at least one support variable each being the indicator different from the category variable. Further, a plurality of groups are determined based on a value of the category variable. Then, a statistic of the support variable is generated for each of the plurality of groups. The evaluation unit generates, for each of the support variables, evaluation information, for example, an evaluation value by using a value of the support variable of the evaluation target and the statistic of the support variable of the group to which the value of the category variable of the evaluation target belongs.
Provided are a spatial sensing device, and the like, that are suitable for spatial sensing. This spatial sensing device (3) comprises a sensing data acquisition means (11) for acquiring sensing data through optical fiber sensing using a plurality of optical fiber cables (1) laid in different directions and an object detection means (12) for using the sensing data to detect the position of an object in a space of interest.
G01D 5/353 - Moyens mécaniques pour le transfert de la grandeur de sortie d'un organe sensible; Moyens pour convertir la grandeur de sortie d'un organe sensible en une autre variable, lorsque la forme ou la nature de l'organe sensible n'imposent pas un moyen de conversion déterminé; Transducteurs non spécialement adaptés à une variable particulière utilisant des moyens optiques, c. à d. utilisant de la lumière infrarouge, visible ou ultraviolette avec atténuation ou obturation complète ou partielle des rayons lumineux les rayons lumineux étant détectés par des cellules photo-électriques en modifiant les caractéristiques de transmission d'une fibre optique
G01H 9/00 - Mesure des vibrations mécaniques ou des ondes ultrasonores, sonores ou infrasonores en utilisant des moyens sensibles aux radiations, p.ex. des moyens optiques
G01V 8/24 - Détection, p.ex. en utilisant des barrières de lumière en utilisant plusieurs émetteurs ou récepteurs en utilisant des fibres optiques
brevets
