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
2.
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
3.
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
5.
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
8.
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
11.
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
15.
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
19.
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
20.
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
25.
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 - 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
26.
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
28.
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
30.
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
32.
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
33.
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
34.
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.
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
41.
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 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
H04N 19/176 - 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 the region being a block, e.g. a macroblock
42.
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 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
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
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).
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 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]
48.
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 - 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
51.
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 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
G06V 20/40 - Scenes; Scene-specific elements in video content
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
G08B 25/10 - 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 wireless transmission systems
53.
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.
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
55.
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 - 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
56.
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 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 11/20 - Drawing from basic elements, e.g. lines or circles
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
59.
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 - 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
61.
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 - Means capturing signals occurring naturally from the environment, e.g. ambient optical, acoustic, gravitational or magnetic signals (using passive navigation aids external to the vehicle G05D 1/244;using signals from positioning sensors located off-board the vehicle G05D 1/249)
G06T 7/70 - Determining position or orientation of objects or cameras
G06T 15/00 - 3D [Three Dimensional] image rendering
62.
CONNECTION STATE IDENTIFICATION SYSTEM AND CONNECTION STATE IDENTIFICATION METHOD
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 - Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an out-of-service signal
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
63.
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 - 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
G01H 9/00 - Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
G01V 8/24 - Detecting, e.g. by using light barriers using multiple transmitters or receivers using optical fibres
65.
DATA CLASSIFICATION DEVICE, DATA CLASSIFICATION METHOD, AND PROGRAM RECORDING MEDIUM
This data classification device comprises an acquisition unit, a data classification unit, an output unit, and an input unit. The acquisition unit acquires data to be classified as input data. The data classification unit uses a classification model to estimate the classification of the input data. The output unit outputs display data displaying: an image divided into a plurality of groups based on a group division standard based on the confidence level when the classification model estimates the classification of the input data; and an image for changing the group division standard. The input unit acquires the data for changing the group division standard as an input result. Moreover, the output unit outputs display data in which the classified data is divided into the plurality of groups based on the group division standard indicated by the input result.
A training data generating system includes an existing tag information acquiring unit, a target tag information acquiring unit, a selecting unit, and a training data generating unit. The existing tag information acquiring unit identifies, as an existing application, an application for which training data for a user operation model has already been generated based on a user operation history and, for each existing application, acquires tag information indicating a feature of the application as existing tag information. The target tag information acquiring unit acquires tag information of a target application as target tag information. The selecting unit calculates a degree of similarity between the target tag information and each piece of the existing tag information and, based on the degree of similarity, selects a similar application from the existing applications. The training data generating unit generates training data for the target application from training data for the similar application.
This learning device comprises: an acquisition unit for acquiring biometric information of a patient and medical chart information of the patient; a selection unit for selecting, on the basis of the medical chart information, the biometric information of the patient that allows the determination of whether the patient is in agitation; and a model generation unit for generating an agitation determination model for determining whether a subject patient is in agitation, by using the selected biometric information and on the basis of the biometric information of the subject patient.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
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
G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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
68.
DATA GENERATION SYSTEM, DATA GENERATION METHOD, AND DATA GENERATION PROGRAM
The feature extraction means 81 extracts a feature of data from at least one data of market data and test data. The data selection means 82 selects one or more other data containing a feature corresponding to the extracted feature of the one data. The complementary data calculating means 83 calculates complementary data that complements the market data or the test data from the one data and the selected other data. The integrated data generation means 84 generates integrated data that integrates the calculated complementary data with at least one or both of the market data and the test data.
An information providing server according to the present invention outputs a screen on which referenced customer buy/sell pattern time-series data (4-2) indicating, in a time-series manner, a buy/sell pattern, computed for each stock, of a plurality of referenced customers satisfying a reference standard, based on past investment product transaction data of the plurality of referenced customers, and a price chart (4-1) indicating a time-series change in price of an investment product are displayed side by side.
To provide an antenna apparatus and a radome that are capable of suppressing an increase in size of the antenna apparatus, an antenna apparatus (100) includes a substrate (10) in which a plurality of antenna elements (20) are disposed on a first surface, and a radome (50) having thermal conductivity, which covers the substrate (10) and forms a plurality of slots (53) at positions facing each of the plurality of antenna elements (20). The radome (50) includes a heat radiation fin (56) protruding to an opposite side to the first surface side, and a wall portion (52) being provided between an antenna element (20) and an antenna element (20) being adjacent to the antenna element (20), and being capable of transferring heat of a heat generating component (40) connected to the substrate (10) to the heat radiation fin (56).
Because a light amplification device using a multicore optical fiber provides low utilization efficiency of excitation light according to a cladding excitation system, the present disclosure provides a light amplification device including: a first optical waveguide including a first light amplification medium; a second optical waveguide including a second light amplification medium; a first excitation light introducing circuit for introducing first excitation light for exciting the first light amplification medium into the first optical waveguide; and a first residual excitation light introducing circuit for introducing first residual excitation light which is output from the first optical waveguide and has a wavelength component of the first excitation light, into the second optical waveguide.
In order to provide a technology for realizing a communication device capable of providing various functions without increasing the types of hardware, this communication device used for a submarine cable system includes a plurality of functions blocks; the function bocks each include interfaces to which an optical signal can be connected; one of the function blocks can be optically connected with a land communication network through the interfaces; the other function blocks can be optically connected with a submarine cable through the interfaces; the function blocks optically connected through the interfaces carry out, on optical signals, processes based on the functions of the function blocks.
A learning device calculates an estimation target item reference value according to a fixed value of each estimation target object. The learning device acquires learning data that includes the fixed value of each estimation target object, a variable item value, and an estimation target item value according to the fixed value and the variable item value. The learning device trains, using the learning data and an evaluation function, a model that outputs an estimated value of the estimation target item value in response to input of the fixed value of each estimation target object and the variable item value.
A posture recovery apparatus capable of automatically recovering a posture of a work machine is realized. The setting unit (11) sets a safe posture range based on a posture of the work machine before operation. The acquisition unit (12) acquires posture information on the work machine in operation. In a case where, by reference to the posture information, it has been detected that the posture of the work machine in operation has deviated from the safe posture range for a first period, the recovery unit (13) causes the work machine to carry out a recovery operation.
When a control signal transmitted from a session management functional unit receiving a connection instruction (for example, Attach or the like) of a terminal is received, a policy management functional unit of a network apparatus notifies a LAN located between a core network and the Internet of a policy for the terminal. Specifically, the policy management functional unit notifies the LAN of the policy via a TCP-based interface or an SCTP-based interface. The policy management functional unit receives the control signal via the TCP-based interface or the SCTP-based interface.
Provided are an analysis device, an analysis method, and a program capable of easily identifying a factor of a prediction error in prediction using a prediction model on the basis of various viewpoints. An analysis device (1) includes: a metric evaluation unit (2) that calculates and evaluates a plurality of types of metrics with respect to a prediction model, data of explanatory variables used in the prediction model, or data of target variables used in the prediction model; and a factor identification unit (3) that identifies a factor of an error in prediction by the prediction model according to a combination of evaluation results of the plurality of types of metrics.
Embodiments of the present disclosure relate to methods, devices and computer readable media for communication. A terminal device transmits uplink data in an inactive state to a network device, and if a resume of a connection with the network device is to be performed at a cell where the transmission has been performed, the terminal device performs the resume of the connection by at least one of the following: maintaining, in a PDCP re-establishment, a state variable of PDCP entities of UM DRBs or SRBs; or at least one of initiating a PDCP recovery for at least DRBs supporting a transmission in the inactive state or discarding PDCP SDUs and PDCP PDUs for SRBs supporting a transmission in the inactive state. In this way, security during a SDT procedure can be enhanced.
Provided are a data processing device, etc. that makes it possible to measure an object between adjacent positions where measurement instruments are installed. A data processing device comprises: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to acquire, from each measurement instrument installed at different measurement positions, measurement data indicating results of measuring an object, to acquire sensing data from an optical fiber cable laid so as to pass through each of the different measurement positions, and to use the sensing data to interpolate measurement data.
An information processing apparatus includes at least one memory storing instructions, and at least one processor. The at least one processor is configured to execute instructions to receive request information including qualification information regarding an operation qualification for operating a mobile body and plan information regarding an operation plan for operating the mobile body, acquire attribute information of the qualification information, determine whether or not to accept a request associated with the request information based on the attribute information, and output a result of the determination regarding the request as a response to the request.
A wireless communication system includes: a transmission apparatus that transmits a wireless signal including a plurality of wireless transmission signals, by using a plurality of transmitting antenna elements; and a reception apparatus that receives the wireless signal, as a plurality of wireless reception signals, by using a plurality of receiving antenna elements. The reception apparatus generates a plurality of separated reception signals by performing a signal separation process on the plurality of wireless reception signals, generates correlation information about the separated reception signals, and generates phase control information on the basis of the correlation information. The transmission apparatus generates the plurality of synthesized transmission signals by performing the signal synthesis process on the plurality of transmission signals, and adjusts the phase of each of the synthesized transmission signals, by a phase shift amount calculated on the basis of the phase control information.
A distortion compensation filter whose filter coefficient is adaptively controlled compensates for a distortion included in a reception signal obtained by performing coherent reception of a signal transmitted from a transmitter in a receiver. A group delay ripple calculation device calculates a group delay included in the reception signal based on a filter coefficient of a distortion compensation filter and calculates group delay ripple from the calculated group delay. The feedback calculation unit calculates a phase response based on the calculated group delay ripple. The feedback calculation unit feeds the calculated phase response back to one or more filters having a phase compensation function disposed in a stage before an adaptive equalization filter included in the receiver, and causes one or more filters to at least partially compensate for the group delay ripple.
An image acquisition apparatus includes an output control unit and an image acquisition unit. The output control unit causes an output unit to output a content. The image acquisition unit acquires an image generated by an image capture unit, the image includes a person and is an image for authentication. The image capture unit is located in a position where a face of the person can be captured when the person faces to the output unit. Further, the output control unit continues to cause the output unit to output the content until a first condition being set in order to make the authentication succeed is satisfied.
A mobile communications system is proposed in which mobile communications devices are arranged to transmit signals to and to receive signals from a base station using one or a subset of available sub-bands, with the base station being configured to move the mobile communications devices between the sub-bands. An anchor sub-band is also provided on which idle mobile communications devices camp until they are moved to one or more other sub-bands in addition to or instead of the anchor sub-band.
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.
In order to detect a detailed walking event in both legs on the basis of a physical quantity that relates to leg motion measured by a sensor mounted on one leg, there is provided a detection device including: an extraction unit for generating time-series data that accompany walking, using sensor data based on a physical quantity that relates to leg motion measured by a sensor installed on one leg part of a walking person, and extracting a walking waveform from the generated time-series data; and a detection unit for detecting a walking event in both legs of the walking person from the walking waveform extracted by the extraction unit.
An information processing device includes: a first acquisition unit configured to acquire a capturing time of a lesion image instructed to be saved by a user, from a series of images captured by an endoscope during examination with the endoscope; a second acquisition unit configured to acquire a capturing time of a lesion image detected by detection processing for the series of images captured by the endoscope during the examination; and a display control unit configured to cause a display device to display a first capturing time and a second capturing time which are plotted on a time axis, the first capturing time being the capturing time acquired by the first acquisition unit, the second capturing time being the capturing time acquired by the second acquisition unit.
G06V 10/98 - Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
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
The input means 181 accepts inputs of test data, a hierarchical structure in which a node of bottom layer represents a target class, and a classification score of a seen class as the classification score indicating a probability that the test data is classified into each class. The unseen class score calculation means 182 calculates the classification score of an unseen class based on uniformity of the classification score of each seen class. The matching score calculation means 183 calculates a matching score indicating similarity between the test data and each class label. The final classification score calculation means 184 calculates a final classification score indicating a probability that the test data is classified into the class so that the larger the classification score of each class, and the matching score, the larger the final classification score.
G06F 16/383 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
88.
MEASUREMENT DEVICE, MEASUREMENT SYSTEM, MEASUREMENT METHOD, AND RECORDING MEDIUM
Provided is a measurement device comprising: a detection unit which detects a walking event from time series data of sensor data pertaining to the movements of feet in order to measure lower limbs on the basis of the sensor data acquired by a single sensor; and a measurement unit which measures the lower limbs by using the sensor data for a prescribed period starting from a walking event timing on the basis of a geometric model to which a constraint condition pertaining to the movements of the lower limbs is given.
A visit schedule creation device 100 of the present invention includes an assignment unit 121 that, on the basis of location information of a visitor and a visited person, creates a visit schedule in which the visited person, to be visited by the visitor, is assigned to the visitor; a calculation unit 122 that calculates priority representing a level of priority of the visited person assigned to the visitor, on the basis of the location information; and a reassignment unit 123 that creates the visit schedule in which assignment of the visited person to the visitor is changed, on the basis of the priority.
An information transaction device is connected to an information holding device including a storage unit storing personal information and includes a sharing approval reception unit configured to receive approval of sharing of the personal information by an information sharing destination device from a user associated with the personal information, a provision approval reception unit configured to receive approval of provision which is transmission of the personal information to an information provision destination device, from the user associated with the personal information, a sharing instruction unit configured to, in a case where the sharing approval reception unit receives the approval of the sharing, instruct the information holding device to perform the sharing, and a provision instruction unit configured to, in a case where the provision approval reception unit receives the approval of the provision, instruct the information holding device to perform the provision.
A posture estimation apparatus includes: a position calculation unit that calculates, for each joint of each of persons detected from image data, a provisional reference position of the person, based on a position of the joint and a displacement from the joint to a site serving as a reference for the person; and a posture estimation unit that determines a person to which the joint belongs based on the provisional reference position calculated for each joint detected.
G06V 10/762 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
92.
FLOODING PREDICTION DEVICE, FLOODING PREDICTION SYSTEM, AND FLOODING PREDICTION METHOD
The purpose of the present disclosure is to provide a flooding prediction device, etc. that make it possible to accurately predict the occurrence of flooding of a river. A flooding prediction device comprises: at least one processor configured to acquire measurement data indicating the result of measurement based on irradiation laser light emitted and radiated onto a measurement target region including the water surface part of a river, and reflection laser light reflected by the region and received by the coherent light sensing device, generate three-dimensional point group model of the measurement target region by using the measurement data, generate, by using the measurement data and the three-dimensional point group model, water surface state information indicating the state of the water surface part in the measurement target region, and predict the occurrence of flooding of the river by using the water surface state information.
The present invention provides an image processing apparatus (100) including: a query acquisition unit (109) that acquires a plurality of first frame images in time series; a skeletal structure detection unit (102) that detects a keypoint of an object included in each of a plurality of the first frame images; a feature value computation unit (103) that computes a feature value of the detected keypoint for each of the first frame images; a change computation unit (110) that computes a direction of change in the feature value along a time axis of a plurality of the first frame images in time series; and a search unit (111) that searches for a moving image by using the computed direction of change in the feature value as a key.
G06F 16/583 - 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
94.
LEARNING APPARATUS, ESTIMATION APPARATUS, LEARNING METHOD, ESTIMATION METHOD, AND PROGRAM AND NON-TRANSITORY STORAGE MEDIUM
The present invention provides a learning apparatus (10) including an acquisition unit (11) that acquires learning data associating a training image including a person with a correct answer label indicating a position of each person, a correct answer label indicating whether each of a plurality of keypoints of a body of each of the persons is visible in the training image, and a correct answer label indicating a position, within the training image, of the keypoint being visible in the training image among a plurality of the keypoints, and a learning unit (12) that learns, based on the learning data, an estimation model that estimates information indicating a position of each person, information indicating whether each of a plurality of the keypoints of each person included in a processing image is visible in the processing image, and information being related to a position of each of keypoints for computing a position, within the processing image, of the keypoint being visible in the processing image.
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
95.
AIR CURRENT OBSERVATION DEVICE, AIR CURRENT OBSERVATION SYSTEM, AND AIR CURRENT OBSERVATION METHOD
The purpose of the present invention is to provide an air current observation device by which it is possible to secure, with greater ease, a power source resource and a communication resource. An air current observation device (3) comprises: an air current detection means (21) by which an optical sensing device (2) installed on a tower-like structure (1) emits a laser beam to an aerial area surrounding the tower-like structure (1), and that, when the optical sensing device (2) receives reflected light from the laser beam, generates air current information pertaining to an air current in the aerial area on the basis of the laser beam and the reflected light; and an air current map generation means (22) that generates an air current map indicating the distribution of air current in the aerial area using the air current information.
In response to receiving from a requesting entity (2) a request for a connection to an entity providing a service in an edge data network (4), a first server (7) attempts to identify a second server (5) located in the edge data network (7) based on at least one selection criterion. If the second server (4) cannot be identified or is not available, the first server (7) identifies a second alternative server that is different from the second server, or identify a first alternative server that substitutes for the first server (7) for attempting to identify the second server. This can contribute, for example, to mitigating the impact of failing to discover one or more preferred edge servers for a User Equipment (UE).
An information processing apparatus includes: an information acquisition unit that acquires recipient identification information that identifies a recipient of an article stored in a warehouse and attribute information indicating an attribute that needs to be satisfied during storage of the article; an association unit that stores, in a storage region, storage space identification information that identifies a target storage space selected based on the attribute information, and article determination information that determines the article in association with each other; an article determination information transmission unit that transmits the article determination information to a terminal determined by using the recipient identification information, in response to the article being disposed in the target storage space; and an article ejection unit that ejects, from a predetermined outlet, the article stored in the target storage space in response to an input of the article determination information.
An acquisition unit (210) acquires sensor information and crew member identification information from a crew member terminal (10). A detection unit (220) detects an improvement-requiring item by processing the sensor information. The improvement-requiring item is an item that needs to be improved by the crew member. A selection unit (230) selects a transmission destination of caution information by using information on the improvement-requiring item. For example, the selection unit (230) selects the transmission destination, for example, by using a type of the detected improvement-requiring item. A transmission unit (240) transmits the caution information to the transmission destination selected by the selection unit (230). The caution information is information indicating that the improvement-requiring item is detected.
A similarity calculation system calculating a distance between a first vector stored in a similarity calculation apparatus and a second vector entered from an input terminal wherein the similarity calculation apparatus transmits to the input terminal a ciphertext of each element of the first vector and a weighted distance table with respect to combinations of possible values of the elements of the first vector and the second vector, and the input terminal refers to the weighted distance table to calculate a ciphertext of element distances for all combinations of the value of a single element of the second vector and possible values of elements of the first vector, calculates the ciphertexts of the sum of the element distances for each element of the second vector using additive homomorphic encryption, and transmits the ciphertext of the sum to the similarity calculation apparatus.
H04L 9/00 - Arrangements for secret or secure communications; Network security protocols
G09C 1/06 - Apparatus or methods whereby a given sequence of signs, e.g. an intelligible text, is transformed into an unintelligible sequence of signs by transposing the signs or groups of signs or by replacing them by others according to a predetermined system wherein elements corresponding to the signs making up the clear text are operatively connected with elements corresponding to the signs making up the ciphered text, the connections, during operation of the apparatus, being automatically and continuou
100.
INFRASTRUCTURE DIAGNOSTIC DEVICE, INFRASTRUCTURE DIAGNOSTIC METHOD, AND RECORDING MEDIUM
An infrastructure diagnostic device 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: generate a road section by dividing, by meshes, a movement path of a moving body collected from the moving body moving on a road, the meshes being obtained by dividing a ground surface into a predetermined size; and determine and output a state of the road section based on sensor information of the road section collected from the moving body.
E01C 23/01 - Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs
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