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: 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: 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: 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: 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 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.

Abstract: A data compression apparatus includes: a compression unit that performs a compression process on output data that is sequentially outputted as time series data by a monitoring apparatus for monitoring a monitoring target range; an output unit that outputs the output data on which the compression process is performed, to a data processing apparatus that performs an object detection process for detecting an object that exists in the monitoring target range by using the output data; and a setting unit that sets a compression ratio used in the compression unit, on the basis of an accuracy information indicating a relationship between a compression ratio at which the output data is compressed and a detection accuracy of the object by the object detection process performed by using the output data compressed at the compression ratio.

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 control apparatus (40) determines a control value to be supplied to a node (604) in a communication network so as to achieve a setpoint of Quality of Service (QoS) performance required by a traffic flow transferred through the communication network. This control value causes the node (604) to adjust allocation of network resources to the traffic flow. The control apparatus (40) corrects the control value to be supplied to the node (604) on the basis of a control delay between the control apparatus (40) and the node (604) and on the basis of a trend in changes in a traffic-related parameter. It is thus, for example, possible to contribute to stabilizing control for guaranteeing QoS performance required by a traffic flow even when there is a non-negligible control delay.

Abstract: To provide a control device that can prevent an increase in a processing load and that can effectively allocate a radio resource. A control device (30) according the present disclosure includes: a deciding unit (31) configured to decide whether or not an interval between generation of a first flow that is generated when performing radio communication between a communication terminal (10) and a base station (20) and generation of a second flow that is generated after the generation of the first flow exceeds a permissible delay time of the first flow; and a determination unit (32) configured to determine deletion of non-transmitted data related to the communication terminal (10) after lapse of the permissible delay time of the first flow when it is decided that the generation interval exceeds the permissible delay time of the first flow.

Abstract: In order to enable stabilizing control of communication in a communication network, a system according to an aspect of the present disclosure includes: an obtaining means for obtaining work-related information related to human work in network operation; and a training means for training a machine learning based controller for controlling communication in a communication network, based on the work-related information.

Abstract: To realize real-time estimation when estimating the type and state of an application from time-series data of communication traffic. A communication traffic analyzing apparatus of the present invention has a state transition model generating unit configured to generate a probabilistic state transition model from time-series data of communication traffic, at each predetermined timing, a state transition model update unit configured to update a state transition model when a difference between the state transition models at two timings generated by the state transition model generating unit is greater than or equal to a predetermined difference and a communication state of network satisfies a predetermined condition, and an application type and state estimating unit configured to estimate a type and a state of an application using the updated state transition model.

Abstract: The present disclosure aims to provide a communication apparatus capable of efficiently performing scheduling of radio resources in such a way that a radio terminal is able to complete transmission of data within an allowable time. A communication apparatus (10) according to the present disclosure includes: an allocation controller (11) configured to determine to preferentially allocate the radio resources to a control target flow over other flows in an emergency period, which is from a predetermined timing to a transmission deadline of the control target flow, of a transmission period of the control target flow in the radio terminal; and a calculation unit (12) configured to calculate an amount of data that the radio terminal should transmit in a normal period, which is from an occurrence of the control target flow to the predetermined timing, in such a way that transmission of data of an entire control target flow is completed in the emergency period.