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 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 10/77 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
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.
G01N 23/04 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material
G06V 40/16 - Human faces, e.g. facial parts, sketches or 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 - Apparatus for testing the eyes; Instruments for examining the eyes
A61B 3/113 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for determining or recording eye movement
A61B 3/14 - Arrangements specially adapted for eye photography
G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or 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 - Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal using a supervisory or additional signal
H04B 10/079 - Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal using measurements of the data signal
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.
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 - Automatic control of frequency or phase; Synchronisation using energy levels of molecules, atoms, or subatomic particles as a frequency reference
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 for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
H04M 1/72424 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality for supporting emergency services with manual activation of emergency-service functions
H04M 1/72463 - User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
H04M 1/72484 - User interfaces specially adapted for cordless or mobile telephones wherein functions are triggered by incoming communication events
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.
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.
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
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.
This display control device comprises: an image acquisition means that acquires an image including a predetermined area that a person passes through heading for a facial recognition gate device; and a display control means that displays a result of the facial recognition using the acquired image before the person reaches the facial recognition gate device. The display control means changes the display mode according to the result of the facial recognition.
G07C 9/37 - Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
22.
CHANGE DETECTION METHOD, CHANGE DETECTION SYSTEM, AND CHANGE DETECTION APPARATUS
In one aspect, a change detection apparatus (10) according to the present embodiment includes: a first feature calculation unit (11) that calculates a first feature of first coordinates in a first point cloud by using information about the presence of a point in each of a plurality of first subregions in a first region which is formed from the first subregions and which contains the first coordinates; a second feature calculation unit (12) that calculates a second feature of second coordinates in a second point cloud, the second coordinates corresponding to the first coordinates, using information indicating whether a point is present, a point is absent, or the presence of a point is indeterminate in each of a plurality of second subregions in a second region which is formed from the second subregions and which contains the second coordinates; and a determination unit (13) that uses the first and second features to determine whether or not a change in the presence or absence of a point has occurred between the first coordinates and the second coordinates.
In this biological information acquisition device, a space-time information generation means generates space-time information by accumulating, at an amount corresponding to a prescribed period, information pertaining to a region of interest extracted from a plurality of images in chronological order included in a biological video image, which is a video image obtained by imaging the skin of a subject. An extraction means extracts an AC component and a DC component from the space-time information. An estimation means estimates the blood oxygen saturation of the subject in the prescribed period on the basis of the AC component and the DC component.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value using optical sensors, e.g. spectral photometrical oximeters
24.
METHOD, DEVICE AND COMPUTER STORAGE MEDIUM OF COMMUNICATION
Embodiments of the present disclosure relate to methods, devices and computer readable media of communication. A terminal device receives information associated with a lower-layer signaling based cell switch and determines, based on the information, whether a set of procedures are performed during the lower-layer signaling based cell switch. The set of procedures comprises at least one of the following: a PDCP recovery for a set of DRBs; a PDCP SDU discard for a set of SRBs; a RRC re-establishment for a set of DRBs and a set of SRBs; or a MAC reset. In this way, a terminal device may determine whether to perform or skip some L2 procedures for subsequent lower-layer based mobility procedures.
An information processing device 1 comprises: a display D; a left side camera L that is located on the left side of the display D and captures images of a target from the left side; a right side camera R that is located on the right side of the display D and captures images of the target from the right side; an upper side camera U that is located on the upper side of the display D and captures images of the target from above; and a monitoring camera M that is located on the upper side of the display D and monitors the target from above.
In the present invention, a first machine learning model is used on image data to extract context information indicating characteristics of the image data, a second machine learning model is used on the context information to determine parameters for a third machine learning model, the third machine learning model is used on the image data to generate compressed data having a smaller amount of information than the image data, and the context information and the compressed data are encoded to generate a code sequence. The context information and the compressed data are decoded from the code sequence, a fourth machine learning model is used on the context information to determine parameters for a fifth machine learning model, and the fifth machine learning model is used on the compressed data to generate restored data.
H04N 19/90 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups , e.g. fractals
27.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM HAVING PROGRAM STORED THEREIN
An information processing device (1) according to an embodiment comprises an issuing unit (11), an inquiring unit (12), and an output unit (13). The issuing unit (11) issues access information in response to a request from an inquiry-requested person terminal, and transmits the access information to at least one of the inquiry-requested person terminal and an inquiry-requesting person terminal different from the inquiry-requested person terminal. Upon reception of inquiry data relating to the inquiry-requested person concurrently with reception of access based on the access information from the inquiry-requesting person terminal, the inquiring unit (12) makes an inquiry by verifying the inquiry data against member data stored in advance in a predetermined storage device, and receives an inquiry result. The output unit (13) outputs the inquiry result to the inquiry-requesting person terminal.
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 - RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - Details of systems according to groups , , of systems according to group
G01N 21/88 - Investigating the presence of flaws, defects or contamination
G01S 17/88 - Lidar systems, specially adapted for specific applications
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.
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 - Selecting arrangements for multiplex systems
H04B 10/077 - Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal using a supervisory or additional signal
H04B 10/294 - Signal power control in a multiwavelength system, e.g. gain equalisation
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 - Image or video pattern matching; Proximity measures in feature spaces using context analysis; Selection of dictionaries
G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
33.
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.
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.
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.
H04W 4/02 - Services making use of location information
H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
42.
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM
An image processing device (1X) comprises an acquisition means (30X), an inference means (32X), and a unification means (33X). The acquisition means (30X) acquires an endoscopic image in which an object of investigation is imaged. On the basis of the endoscopic image, the inference means (32X) generates a plurality of inference results relating to an area of focus of the object of investigation in the endoscopic image. The unification means (33X) unifies the plurality of inference results.
Provided is a system that contributes to enabling the coexistence of servers of different formats without increasing the load of a user. This system includes a shared server, a dedicated server, and a control server. The shared server is shared as a server that performs authentication processing by a plurality of airports. The dedicated server performs authentication processing at one airport. The control server determines an airport to be used by the user. The control server transmits, to either the shared server or the dedicated server, information necessary for advancing boarding procedures with biometric authentication in accordance with the airport to be used by the user.
Provided is a terminal that contributes to realizing the reduction of burdens of business operators who provide services, using biometric authentication. The terminal comprises a storage means, a consent acquisition control means, and a registration control means. The storage means stores information for proceeding with boarding procedures at an airport by biometric authentication. The consent acquisition control means acquires the consent of a user to the provision of information for proceeding with boarding procedures at an airport by biometric authentication to the outside. The registration control means exercises control for registering, to an authentication server, information for proceeding with the boarding procedures for which consent to provision to the outside has been obtained.
A serving robot (10) comprises an acquisition unit (11) that acquires a registered facial image for a customer that has ordered food at a store and presentation destination information that indicates a presentation destination for the food, a travel control unit (12) that controls travel to the presentation destination on the basis of the presentation destination information, a facial image acquisition unit (13) that captures an image of the customer at the presentation destination and acquires a captured facial image, a determination unit (14) that, on the basis of the results of comparing the registered facial image and the captured facial image, determines whether the customer is the customer that ordered the food, and a reception permission unit (15) that allows the customer to receive the food when the determination unit (14) has determined that the customer is the customer that ordered the food.
This information processing device comprises: an image acquisition means that acquires an image including a predetermined region where a plurality of persons going toward any one of multiple gate apparatuses including a face-authentication gate apparatus; an information acquisition means that acquires position information about a terminal device for displaying at least some of the authentication results of face authentication conducted using images; and a determination means that determines priorities for notification of at least some of the authentication results on the basis of types corresponding to the authentication results and the position information.
G07B 15/00 - Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
G07C 9/37 - Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
G07C 9/38 - Individual registration on entry or exit not involving the use of a pass with central registration
47.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING CONTROL METHOD, AND RECORDING MEDIUM
The present invention provides an information processing device comprising: an image acquisition means that acquires a first image containing a predetermined area through which a plurality of persons to be authenticated pass; an information acquisition means that acquires the position of a terminal device held by a user; and a determination means that determines priority for notifying a plurality of authentication results of face authentication performed using the first image on the basis of the position of the terminal device and the positions of the plurality of persons to be authenticated that are detected on the basis of the first image.
G07C 9/37 - Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
48.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING CONTROL METHOD, AND RECORDING MEDIUM
This information processing device comprises: a setting means that, on the basis of gate information of a plurality of gate devices including a facial recognition gate device, sets a first region including at least a portion of a route in which there is a flow of people moving toward the facial recognition gate device; an image acquiring means that acquires a first image including the first region; and a first determining means that, on the basis of the results of facial recognition performed using the acquired first image, determines, for a first recognized person who is a person contained in the acquired first image and who is present in the first region, whether the first recognized person is able to pass through the facial recognition gate device.
G07C 9/37 - Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
G07B 15/00 - Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
49.
REPORTING DEVICE, SYSTEM, METHOD, AND COMPUTER-READABLE MEDIUM
The present invention makes it possible to notify a notification receiver that a subject is in a location related to a location where an event is occurring. An event detection means (11) detects that a prescribed event is occurring. A position information detection means (12) detects position information of a subject who is a person to be subjected to position detection. An identification means (13) identifies a subject for whom reporting is to be performed on the basis of the position information of the location where the occurrence of the prescribed event was detected and the position information detected by the position information detection means (12). A notification means (14) issues a notification of the position information of the subject identified by the identification means (13) to a notification receiver terminal registered in association with said subject.
G08B 25/04 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using a single signalling line, e.g. in a closed loop
50.
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
An image processing device 1X is provided with an acquisition means 30X, an inference means 32X, and an integration means 33X. The acquisition means 30X acquires an endoscopic image taken of a subject. The inference means 32X generates a plurality of inference results related to a site of interest of the subject in the endoscopic image, on the basis of the endoscopic image. The integration means 33X integrates the plurality of inference results.
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 - Recording time for administrative or management purposes
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
52.
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 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G01S 7/4865 - Time delay measurement, e.g. time-of-flight measurement, time of arrival measurement or determining the exact position of a peak
G01S 17/10 - Systems determining position data of a target for measuring distance only using transmission of interrupted, pulse-modulated waves
53.
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.
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 - Lidar systems, specially adapted for specific applications for mapping or imaging
55.
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.
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 - Reservations, e.g. for tickets, services or events
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
G07C 9/37 - Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
G07C 9/38 - Individual registration on entry or exit not involving the use of a pass with central registration
58.
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.
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 - Control channels or signalling for resource management in the downlink direction of a wireless link, i.e. towards a terminal the control data signalling from the physical layer, e.g. DCI signalling
H04B 7/06 - Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
H04L 5/00 - Arrangements affording multiple use of the transmission path
H04W 72/1268 - Mapping of traffic onto schedule, e.g. scheduled allocation or multiplexing of flows of uplink data flows
61.
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.
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
G06T 7/55 - Depth or shape recovery from multiple images
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
65.
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 - Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable using optical means, i.e. using infrared, visible or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells influencing the transmission properties of an optical fibre
69.
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 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
G07C 9/10 - Movable barriers with registering means
G07C 9/37 - Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
G07C 9/38 - Individual registration on entry or exit not involving the use of a pass with central registration
70.
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 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
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 - Devices for psychotechnics; Testing reaction times
A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
75.
ADVERTISEMENT INFORMATION GENERATION APPARATUS, EVENT SUPPORT SYSTEM, ADVERTISEMENT INFORMATION GENERATION METHOD, AND EVENT SUPPORT SYSTEM PRODUCTION METHOD
In an advertisement information generation apparatus (30) of the present invention, the advertisement information generation unit (31) generates advertisement information on at least one of an advertising target product or an advertising target service, the coordinate information acquisition unit (32) acquires coordinate information associated with a fiducial marker installed in a specific area of a real space, a virtual point indicating a specific position in the specific area is mapped on the coordinate information, the virtual object generation unit (33) generates a virtual object associated with the virtual point and the advertisement information, the virtual object is composed of a main object and a sub object, the main object is an image object representing contents of the advertisement information, and the sub object is an object to which text information representing the contents of the advertisement information is added.
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 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
77.
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 - Recording time for administrative or management purposes
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
79.
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 for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
A61B 1/31 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the rectum, e.g. proctoscopes, sigmoidoscopes
81.
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 - Embedding additional information in the video signal during the compression process by compressing encoding parameters before transmission
H04N 19/17 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
H04N 19/42 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals - characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
H04N 19/48 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using compressed domain processing techniques other than decoding, e.g. modification of transform coefficients, variable length coding [VLC] data or run-length data
83.
LEARNING ASSISTANCE SYSTEM AND LEARNING ASSISTANCE METHOD
An achievement database (DB1) stores achievement information pertaining to children's learning. An achievement information transmission unit (11) reads out the achievement information stored in the achievement database (DB1) and transmits the achievement information (INF1) that has been read out. A detection unit (12) detects, on the basis of the achievement information (INF1), a child who is suspected of having a learning disability, and transmits a detection result (D1). A determination unit (13) transmits a determination result (D2) that is a result of determination which is on the reasonableness of the suspicion of the learning disability of the child and which is made by an expert on the basis of the detection result (D1). An examination guidance transmission unit (14) transmits, in accordance with the determination result (D2), examination guidance (EX) for urging an examination regarding the suspicion of the learning disability of the child. An agent of the child receives the determination result (D2) and the examination guidance (EX) through the communication unit (16).
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
84.
LEARNING DEVICE, LEARNING METHOD, PROGRAM, AND CLASSIFICATION DEVICE
In order to train a machine learning model such that the inference accuracy becomes higher, a learning device (1): comprises an acquisition unit (11) for acquiring a learning image and a learning unit (12) for training a machine learning model by using the learning image; sets, as a reference positive example, a learning image belonging to a subclass different from a subclass to which an image of interest belongs, and belonging to a class same as a class to which the image of interest belongs; sets, as a negative example, a learning image belonging to a class different from a class to which the image of interest belongs; and trains the machine learning model such that the similarity between a feature amount of the image of interest and a feature amount of the reference positive example becomes greater than the similarity between the feature amount of the image of interest and a feature amount of the negative example.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
85.
NEGOTIATION DEVICE, NEGOTIATION METHOD, AND PROGRAM
In order to address the problem of increasing the possibility of arriving at an agreement on the basis of an agreement candidate plan provided in a negotiation, this negotiation device (1) includes: a provision reason appending unit (11) for appending a provision reason to an agreement candidate plan to be provided to a first negotiation subject in a first negotiation with the first negotiation subject; and an agreement candidate plan provision unit (12) for providing, to the first negotiation subject, the agreement candidate plan to which a provision reason has been appended.
This information processing device (1) comprises: an acquisition means (50) which acquires a plurality of elements included in series data; a calculation means (100) which calculates a likelihood ratio, which indicates the likelihood of a class to which the series data belongs, from at least two consecutive elements among the plurality of elements by using an activation function of which the value range is wider than [-1, 1], a change in output value is slower than that in an input value, and the gradient at the original point does not diverge; and a classification means (200) which classifies, on the basis of the likelihood ratio, the series data into at least one class among a plurality of classes. According to this information processing device, it is possible to achieve both highly accurate estimation of the likelihood and training stability.
This information processing device (1) comprises an acquisition means (50) for acquiring a plurality of elements included in series data, a calculation means (100) for simultaneously inputting the plurality of elements and calculating the relationships between the elements, and thereby calculating a likelihood ratio indicating the likelihood of a class to which the series data belongs, and a classification means (200) for classifying the series data into at least one class among a plurality of classes that are classification candidates, on the basis of the likelihood ratio. By means of such an information processing device it is possible to suitably reflect the relationships between simultaneously input elements, and to calculate an accurate likelihood ratio.
Provided is a system which inspects a container filled with liquid and having an opening sealed by a lid, the system comprising a rotation unit which executes a first rotation step of rotating the container about a center axis of the container while the container is in a horizontally-laid posture and an acquisition unit which acquires an image obtained by a camera, which has the optical axis parallel with the center axis, imaging a rear side of the lid through a region outside the liquid in the container from a bottom portion side of the container during the rotation.
This information processing system (10) comprises: an acquisition means (110) that acquires an image of interest including the face of a subject; a generation means (120) that, on the basis of the image of interest, generates first guide information indicating the current position of the face of the subject and second guide information indicating the current angle of the face of the subject; and a display means (130) that displays, together with the first guide information and second guide information, third guide information indicating a target position for the face of the subject and fourth guide information indicating a target angle for the face of the subject. This information processing system makes it possible to capture an image after suitably adjusting the position and angle of a face.
In order to make it possible to accommodate communication bandwidth fluctuations, this processing control system is provided with: a load prediction means (101) that predicts the processing load of data to be analyzed on a first processing unit (20); a bandwidth prediction means (102) that predicts the communication bandwidth between the first processing unit and a second processing unit (30); and a switching control means (110) that controls whether the first processing unit or the second processing unit analyzes the data to be analyzed, on the basis of the predicted processing load and the predicted communication bandwidth.
NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY (Japan)
Inventor
Yamada So
Saito Atsumi
Yamazaki Keisuke
Washio Takashi
Abstract
This information processing device acquires an acquisition function using the kernel mean embedding of conditional distribution that is estimated from a dataset obtained through data sampling. The information processing device determines, on the basis of the acquisition function, a sampling point at which to acquire data. The information processing device acquires data at the determined sampling point.
A method for a user equipment, UE, (3) is disclosed. The method includes: receiving, from an access network node (5), a message for causing the UE (3) to move to a radio resource control, RRC, inactive state, the message including information indicating that the UE (3) can keep configuration for a point-to-multipoint, PTM, transmission of a multicast while the UE (3) is in the RRC inactive state; and keeping the configuration for the PTM transmission while the UE (3) is in the RRC inactive state, based on the information.
H04W 76/27 - Transitions between radio resource control [RRC] states
H04W 4/06 - Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
H04W 76/40 - Connection management for selective distribution or broadcast
93.
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 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
94.
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 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G01S 7/4865 - Time delay measurement, e.g. time-of-flight measurement, time of arrival measurement or determining the exact position of a peak
G01S 17/10 - Systems determining position data of a target for measuring distance only using transmission of interrupted, pulse-modulated waves
95.
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.
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.
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.
