Abstract:
The present invention aims to provide a communication system capable of optimizing network processing. The communication system according to the present invention includes an application server (10) configured to detect a behavior of a communication terminal (50) and a service common apparatus (20) configured to receive an identifier of the communication terminal (50) and behavior information on the communication terminal (50) transmitted from the application server (10) via a first interface defined between the service common apparatus (20) and the application server (10) and to transmit the identifier of the communication terminal (50) and the behavior information on the communication terminal (50) to a mobile network node (40) via a second interface defined between the service common apparatus (20) and the mobile network node (40) to optimize a parameter regarding the communication terminal (50).
Abstract:
To provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus includes: an obtaining means for obtaining input data which includes at least one of image data and point cloud data; an estimating means for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means for deriving an evaluation value by referring to the replaced data; and a training means for training the estimating means with reference to the evaluation value.
Abstract:
Estimating determines, on the basis of processed quantized values, a quantization interval for quantizing input element values, which are elements of input values serving as a processing object and determines, on the basis of the processed quantized values, a probability distribution of quantization value candidates, which are candidates of quantized values of the input element values; quantizing uses the quantization interval to quantize the input element values and determine a quantized value; and entropy encoding uses the probability distribution to perform entropy encoding of a quantization time sequence which includes quantized value codes indicating the quantized values of the input element values.
Abstract:
A monitoring person can rapidly take a countermeasure against a situation occurring in a moving object. Image reception means (31) receives image data obtained by imaging the outside of the moving object. Candidate acquisition means (32) acquires control content candidates of autonomous driving of the moving object. Monitoring screen display means (33) causes a display apparatus to display a monitoring screen. The monitoring screen includes a region where the image data is displayed and a region where the control content candidates are displayed. When one control content is selected from the control content candidates, control content transmission means (34) transmits a control signal representing the selected control content to the moving object.
Abstract:
An image reception unit receives an image from a vehicle through a network. An event prediction unit predicts an event based on the image received by the image reception unit. Based on an event result predicted by the event prediction unit an important area identification unit identifies an area related to the predicted event as an important area in the image. An image adjustment unit adjusts image quality concerning the important area, which is identified by the important area identification unit, in the image.
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 the control target communication concerned.
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 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:
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:
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.