Abstract: The present disclosure is directed to providing a monitoring device that can improve the accuracy in tracking ships. A monitoring device (10) according to the present disclosure includes a position information acquiring unit (11) configured to acquire position information of an object to be tracked; an estimating unit (12) configured to estimate a position of the object to be tracked displayed in an image captured of a predetermined region; and an information generating unit (13) configured to generate path information of the object to be tracked by supplementing, based on an estimated position of the object to be tracked, the position of the object to be tracked held between the position indicated by the position information acquired at a first timing and the position indicated by the position information acquired at a second timing later than the first timing.

Abstract: A speech recognition apparatus (2000) acquires source data (10) representing an audio signal including an utterance. The speech recognition apparatus (2000) converts the source data (10) into a text string (30). The speech recognition apparatus (2000) generates a concatenated text (40) representing a content of an utterance by concatenating a text (32) included in the text string (30). Herein, texts (32) adjacent to each other in the text string (30) are such that parts of associated audio signals overlap each other on a time axis. At a time of concatenating texts (32) adjacent to each other, the speech recognition apparatus (2000) eliminates a trailing portion of a preceding text (32) and a leading portion of a succeeding text (32).

Abstract: Sensing information indicating a state of a moving body is acquired. A plurality of captured images that capture a driver driving the moving body are acquired. From the plurality of captured images, captured images captured in a state of the moving body traveling forward based on the sensing information. A reference line of sight direction in a case of the driver facing forward is detected based on a statistical value of a line of sight direction of the driver indicated by each of the identified captured images.

Abstract: A detection device (10) according to the present disclosure includes an acquisition unit (11) that acquires point cloud data indicating a distance from a measurement device to an object and luminance information obtained from reflected light of a beam emitted when the point cloud data is measured, an edge detection unit (12) that performs edge detection based on the luminance information, and a crack determination unit (13) that determines whether an area indicates a crack by using a shape of the area in which, of a plurality of points indicated by the point cloud data, points having luminance within a predetermined range of difference from luminance of a point detected as an edge are distributed.

Abstract: A method is provided for beam management. The method includes obtaining, by a Light Detection and Radar (LiDAR) sensor having one or more LiDAR cameras performing ray-tracing, out-of-band infrared measurements of a surrounding environment. The method further includes selecting, by a base station, a transmission and reception beam pair for use in the surrounding environment from a plurality of available transmission and reception beam pairs responsive to the out-of-band measurements of the surrounding environment.

Abstract: A cellular communication system is disclosed in which a base station operates a cell which has a supplementary uplink portion (e.g. on a different frequency and/or using a different technology). The base station broadcasts an offset for user equipment (UE) in its coverage area to assist the UE performing cell selection. Specifically, the UE determines, based on measurements for the cell, the offset, and capability of the UE to communicate using the supplementary uplink portion, whether the cell of the base station is an appropriate candidate for cell selection such that: if the UE is capable of communicating using the supplementary uplink portion then the UE performs cell (re)selection based on the offset; and if the UE is not capable of communicating using the supplementary uplink portion then the UE disregards the offset in its cell (re)selection.

Abstract: An information processing device 100 of the present invention includes an analysis unit 121 and an encoding unit 122. The analysis unit 121 extracts a partial time-series data set obtained by dividing a time-series data set that is a set of time-series data including a plurality of elements at given time intervals, and calculates correlation data representing a correlation between elements of time-series data included in the partial time-series data set. The encoding unit 122 generates coded data based on the time-series data of the partial time-series data set and the correlation data.

Abstract: An in-vehicle apparatus according to the present disclosure includes: estimated walking path acquisition means for acquiring an estimated walking path, which is a path in which it is estimated that a driver will walk; and drinking determination means for determining whether or not the driver is drunk based on a walking pattern of the driver in the estimated walking path.

Abstract: A notification system includes: detection means (110) for detecting an acoustic event from voice data transmitted from a communication terminal held by a target person; and notification means (120) for sending a predetermined notification when the detection means (110) has detected the acoustic event. Accordingly, it is possible to determine the state of a target person regardless of the state of this person. Further, when the difference between an acoustic pattern of the voice data transmitted from the communication terminal and acoustic patterns registered in advance is outside a predetermined range, a management server (101) does not send a notification, whereby it is possible to prevent communication traffic from being increased based on unnecessary notifications.

Abstract: Methods and systems for training a neural network include collecting model exemplar information from edge devices, each model exemplar having been trained using information local to the respective edge devices. The collected model exemplar information is aggregated together using federated averaging. Global model exemplars are trained using federated constrained clustering. The trained global exemplars are transmitted to respective edge devices.

Abstract: Provided is an image processing system, an image processing method, and a program for preferably detecting a mobile object. The image processing system includes: an image input unit for receiving an input for some image frames having different times in a plurality of image frames constituting a picture, which is of a pixel on which the mobile object appears or a pixel on which the mobile object does not appear, for selected arbitrary one or more pixels in an image frame at the time of processing; and a mobile object detection model constructing unit for learning a parameter for detecting the mobile object based on the input.

Abstract: A learning apparatus that performs machine learning of a learning model, the learning apparatus including: an extraction unit that extracts a first sample feature quantity that is a feature quantity of a first sample person and a second sample feature quantity that is a feature quantity of a second sample person, by inputting a sample image including the first sample person who is the same as a verification subject and the second sample person who is different from the first sample person, to the learning model; and a learning unit that performs the machine learning by using a first loss function regarding accuracy of verification processing of determining, on the basis of the first sample feature quantity, whether or not the first sample person captured in the sample image is the same as the verification subject, and by using a second loss function regarding a distance between the first and second sample feature quantities.

Abstract: In a first server, reception means receives an image acquired by using an imaging device. Processing means performs first image processing on the image received by the reception means. Transmission means transmits the image on which the first image processing has been performed by the processing means to the second server. A second server performs second image processing on the image received from the first server.

Abstract: A robot system is configured to determine whether or not to cause a first robot arm and a second robot arm to grasp a target object and configured to cause the first robot arm and the second robot arm to grasp the target object by causing the first robot arm and the second robot arm to symmetrically operate in a case where it is determined that the first robot arm and the second robot arm are caused to grasp the target object.

Abstract: A data update system according to an example embodiment performs: in a user terminal, authentication request processing for transmitting authentication information including at least an authentication code displayed on a charging stand, user information registered in advance, and position information of the charging stand and the user terminal to a center server; in the center server, authentication processing for confirming whether or not the authentication information is valid and distribution processing for causing the charging stand to download software to be updated in response to the authentication processing confirming the validity; and in the charging stand, authentication code provision processing for providing the authentication code in response to a connection of a charging cable to a vehicle and data update processing for providing the downloaded software to a vehicle to be updated through a communication line.

Abstract: The optical transmitter includes: a mode-locked laser light source; a plurality of semiconductor modulators; an optical filter configured to pass light in a passband from modulated light being modulated by a first semiconductor modulator; an optical monitor configured to monitor the passed light; a wavelength controller controlling a wavelength of the light from the mode-locked laser light source, based on the monitored result; and a bias controller controlling a bias voltage of the first semiconductor modulator, based on the monitored result. The mode-locked laser light source includes a reflective semiconductor optical amplifier, an external cavity including a multiplying filter configured to multiply a longitudinal mode spacing of the mode-locked laser light source, and a multiplying filter adjustment heater configured to be able to heat the multiplying filter.

Abstract: An acquisition unit in a control apparatus acquires information about interference received, from a signal transmitted from a non-terrestrial network apparatus, by a signal directly transmitted from a non-terrestrial network apparatus to a terminal apparatus. A path control unit selects a usage communication path from a direct path and an indirect path, based on the information about the interference. The “direct path” is a path in which a signal is directly transmitted from the non-terrestrial network apparatus to the terminal apparatus. The “indirect path” is a path in which a signal transmitted from the non-terrestrial network apparatus indirectly reaches the terminal apparatus via an RIS of a terrestrial relay apparatus.

Abstract: A control apparatus predicts, for a target service to be provided at a service provision location, the number of users of the target service, before the provision starts. The control apparatus performs control regarding an instance of an application that provides the target service, or control of a service chaining among a plurality of the applications, based on the predicted number of users.

Abstract: A prompt acquisition means acquires a prompt described in natural language which includes a designation of a prediction task and a request for information concerning a special factor which may affect the prediction task. A special factor acquisition means interprets the prompt using natural language, and acquires information concerning the special factor which may affect the prediction task designated. A model information acquisition means acquires model information concerning a model which can be used in a case of corresponding to the special factor. An output means outputs an answer including information concerning the special factor and the model information acquired.

Abstract: Embodiments of the present disclosure relate to methods, devices, and computer readable medium for communication. According to embodiments of the present disclosure, a first terminal device transmits a set of reference signals to a second terminal device on a set of reference signal resources based on a reference signal configuration. The reference signal configuration at least indicates an association between a first transmission of a first reference signal and a second transmission of a last reference signal in the set of reference signals. The second terminal device transmits a measurement report for a reference signal in the set of reference signals on a sidelink resource. The sidelink resource is associated with a reference signal resource on which the reference signal is transmitted.