Abstract: A RAN node (2) receives, from a core network node (6, 7, 8), a first identifier that is used by a service, an application, or an edge server (5) to identify a radio terminal (1) connected to the RAN node (2), and associates the first identifier with a second identifier that is used by the RAN node (2) to identify the radio terminal (1). Further, the RAN node (2) communicates with the edge server (5) using the first identifier. It is thus, for example, possible to allow an MEC server (or an MEC application hosted on the MEC server) and a radio access network (RAN) node to directly exchange therebetween a control message regarding a specific radio terminal.

Abstract: A power converter apparatus includes a switching circuit generating an AC voltage by switching a DC voltage at a predetermined switching frequency, and a filter circuit converting the AC voltage from the switching circuit into the DC voltage by low-pass filtering the AC voltage. The filter circuit includes first and second bypass capacitors, and an inductor. The first bypass capacitor bypasses noise of a first frequency component of the AC voltage from the switching circuit, and the second bypass capacitor bypasses noise of a second frequency component of the AC voltage from the switching circuit, which is lower than the first frequency component. The inductor is between the first and second bypass capacitors, and the inductance thereof is set so that a resonance frequency of the filter circuit is lower than multiple times the switching frequency by insertion of the inductor, thereby reducing the switching noise flowing to the load.

Abstract: A system includes a non-transitory computer readable medium configured to store instructions thereon; and a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for generating a mask based on received data from a sensor, wherein the mask includes a plurality of importance values, and each region of the received data is designated a corresponding importance value of the plurality of importance values. The processor is configured to execute the instructions for encoding the received data based on the mask; and transmitting the encoded data to a decoder for defining reconstructed data. The processor is configured to execute the instructions for computing a loss based on the reconstructed data, the received data and the mask. The processor is configured to execute the instructions for providing training to an encoder for encoding the received data based on the computed loss.

Abstract: A light-emitting element includes: a semiconductor structure including: an n-side semiconductor layer including an n-type nitride semiconductor layer; a p-side semiconductor layer including a p-type nitride semiconductor layer; and an active layer disposed between the n-side semiconductor layer and the p-side semiconductor, the active layer including a well layer made of a nitride semiconductor. The p-side semiconductor layer includes, in order from an active layer side, a first layer including Ga, Al, In, and N, a second layer containing Ga, Al, and N, and a third layer including Ga and N, the second layer being thinner than the first layer. A bandgap energy of the second layer is larger than a bandgap energy of the well layer. A p-type impurity concentration of the third layer is higher than a p-type impurity concentration of the first layer. A composition ratio of Al in the second layer is higher than a composition ratio of Al in the first layer.

Abstract: A traffic control apparatus, a traffic control system, and a traffic control method that can facilitate an operation of an autonomous driving vehicle are provided. A traffic control apparatus includes analysis means for analyzing a state of a vehicle based on information about the vehicle including an autonomous driving function, specifying means for specifying a control policy, which is predetermined control to be transmitted to the vehicle, based on the analyzed state of the vehicle and remote control means for controlling driving of the vehicle based on the specified control policy.

Abstract: An estimating apparatus (1) according to the present invention includes a plurality of feature quantity calculating units (111 to 11n) configured to implement processing of calculating, from a communication traffic, a differing feature quantity group for each of a plurality of types of control attributes relating to communication control, the plurality of feature quantity calculating units being each associated with each of the plurality of types of control attributes, a calculating unit (12) configured to calculate, with regard to each of two or more of the plurality of types of control attributes, each of the feature quantity groups from the communication traffic by use of the feature quantity calculating unit being associated with each of the control attributes, and an estimating unit (13) configured to estimate an attribute value of each of the two or more control attributes from each of the calculated feature quantity groups.

Abstract: There is provided a communication device capable of determining whether admission of new data traffic is allowed or rejected not by comparing throughputs only, but by considering other parameters when the data traffic is admitted. A communication device (10) according to the present invention includes a determination unit (11) that determines whether to admit a flow regarding a new radio terminal (30), the flow being to be transmitted between a radio terminal (30) and a base station (20) and having a transmission deadline, depending on a transmission state of a plurality of data packets included in the flow, and a communication unit (12) that transmits, to the base station (20), instruction information indicating whether to admit the flow regarding the new radio terminal (30).

Abstract: A cardboard box dividing device and a cardboard box production device include: lower conveyors on which a plurality of connected cardboard box bodies are stacked and transported; upper conveyors disposed so as to face the lower conveyors from above and supporting upper portions of the plurality of stacked connected cardboard box bodies; a pressing device pressing, from above, the plurality of connected cardboard box bodies stacked on the lower conveyors; a cutting knife disposed along a width direction of the connected cardboard box body and dividing the plurality of connected cardboard box bodies stacked on the lower conveyors into a front part and a rear part; and a lifting/lowering device relatively moving the cutting knife and the plurality of connected cardboard box bodies on the lower conveyors along an up-down direction.

Abstract: A Machine Type Communication Inter Working Function (MTC-IWF) entity (1) includes a trigger controller (11) and a notification service controller (12). The trigger controller (11) controls a device trigger of an MTC device (3) requested from an SCS entity (2). The notification service controller (12) is configured to send, to the SCS entity (2), a subscription request for a notification service including providing a PLMN (5) with management information which is collected outside (4) the PLMN (5) regarding the MTC device (3), and receive, from the SCS entity, a message containing the management information (2) when the subscription request has been accepted. Accordingly, it is possible to contribute to, for example, improvement in collaborative and cooperative operations between the PLMN and an M2M service layer.

Abstract: A priority control apparatus includes: load information acquisition part which acquires communication load information per priority at relay apparatus that controls allocation of communication resources relative to individual communication depending on a priority that is set for the individual communication between two or more communication apparatuses; communication quality acquisition part which acquires communication quality as to control target communication; and priority control part which calculates a first priority, with which communication quality as to the control target communication can satisfy a predetermined condition, by using a mathematical model that indicates a relationship between a piece of communication load information before a priority as to the control target communication is set as the first priority and a communication quality when the priority as to the control target communication concerned is set as the first priority, and which sets the calculated first priority as the priority of

Abstract: A throughput division means (11) divides a throughput of a communication between a video delivery server configured to deliver, in a plurality of delivery modes, video data to a user terminal device used by a user and the user terminal device in a delivery period of the video data, according to a period of each delivery mode. A playback bit rate estimation means (12) estimates a playback bit rate of the video data, based on a throughput divided according to a period of the delivery mode. Thus, estimation precision of a video playback bit rate can be improved even when a video delivery server delivers video data in a plurality of delivery modes.

Abstract: An estimation unit of a visual object tracking apparatus estimates a plurality of estimated bounding boxes and estimated object IDs respectively corresponding to the estimated bounding boxes based on a plurality of predicted bounding boxes and a plurality of detected bounding boxes. For example, the “detected bounding boxes” are “bounding boxes (bounded areas)” detected by a detector in each of a plurality of frames in a time series such as moving images. The “bounding box” is a frame surrounding an image of an object detected in a frame. For example, the “predicted bounding box” is a “bounding box” predicted by a predictor based on an estimated bounding box(es) estimated for one or a plurality of frames in the past.

Abstract: A traffic analysis apparatus includes: a first means that estimates a state sequence from time-series data of communication traffic based on a hidden Markov model, and groups, into one group, a plurality of patterns with resembling state transitions in the state sequence to perform extraction of a state sequence, with taking the plurality of patterns grouped into one group as one state; and a second means that determines an application state corresponding to the time-series data based on the state sequence extracted by the first means and predetermined application characteristics.

Abstract: A transmission method, a transmission system, and a system control device that are capable of transmitting a high-quality video suitable for remote operation while suppressing loss and delay are provided. The transmission method is a transmission method of transmitting an image photographed by a plurality of cameras (10) mounted on a vehicle (5), via a network (30), and includes a bandwidth estimation step (S11) of estimating an available bandwidth of the network, and a camera bandwidth allocation step (S12) of allocating a bandwidth to each camera according to the available bandwidth and an importance degree of each camera.

Abstract: There is provided a control apparatus including a memory storing instructions, and one or more processors configured to execute the instructions to function as a plurality of learners each configured to learn an action for controlling a network, the one or more processors being further configured to set learning information of a second learner that is not mature among the plurality of learners, based on learning information of a first learner that is mature among the plurality of learners.

Abstract: In order to provide a control apparatus achieving an efficient control of network using a machine learning, a control apparatus includes a learning unit and a control unit. The learning unit learns an action for controlling the network. The control unit controls the network by setting a control parameter to an apparatus included in the network based on an action obtained from a learning model generated by the learning unit. The control unit decides the control parameter based on an influence of the action obtained from the learning model on a state of the network.

Abstract: According to the present disclosure, a video analysis method and a video analysis system in which video analysis accuracy at a cloud server and an edge is improved is provided. The video analysis method includes a first image analysis step of analyzing an input image frame on the edge side, a difference value estimation step of estimating a difference value between an evaluation value of an analysis result in the first image analysis step and an evaluation value of an analysis result being predicted when the input image frame is analyzed by the cloud server, and a filtering step of determining whether to transmit the input image frame to the cloud server, based on the difference value.

Abstract: In order to enable communication control to promptly comply with a communication environment, a system according to an aspect of the present disclosure includes: a first adjusting means for adjusting a parameter for controlling communication in a communication network by using a parameter determining method; and a second adjusting means for adjusting the parameter by using reinforcement learning, after adjusting the parameter using the parameter determining method.

Abstract: In order to provide a control apparatus achieving an efficient control of network using a machine learning, a control apparatus includes a learning unit and a storage unit. The learning unit learns an action for controlling the network. The storage unit stores learning information generated by the learning unit. The learning unit takes an action on the network. The learning unit decides a reward for the action taken on the network based on stationarity of the network after the action is taken to learn the action for controlling the network. The learning unit may give a positive reward to the action taken on the network if the network after the action is taken is in a stationary state, and give a negative reward to the action taken on the network if the network after the action is taken is in a non-stationary state.

Abstract: In order to more easily perform communication control suitable for a communication environment in a communication network, a system according to an aspect of the present disclosure includes: an obtaining means for obtaining state information related to a state of a communication network; and a selecting means for selecting one of a plurality of machine learning based controllers for controlling communication in the communication network, based on the state information.