Abstract: Provided is a communication control technique which makes it possible to efficiently utilize resources. A communication control system includes: a generation means for generating a storage request that includes (i) a plurality of identifier groups each of which includes one or more identifiers and (ii) priorities which are given to the respective plurality of identifier groups; and a requesting means for requesting a storage means to store information included in the storage request.

Abstract: An information processing apparatus outputs operational information as information regarding a first operation and a second operation performed by an operator on an object as an operation target, the information processing apparatus including a scene estimator, a chunk estimator, a transition destination suggestion unit, and an output unit. The scene estimator obtains first images as images of a scene in a state where the operator performs the first operation and the second operation, and estimates the scene by using a first learned model describing an association between the first image and a scene ID that uniquely indicates the scene. The chunk estimator obtains second images as images of an object of the first operation and the second operation, and estimates a chunk by using one of a plurality of second learned models that store an association between the second image and one or a plurality of meta IDs for chunk.

Abstract: A communication system capable of improving signal processing efficiency even when a plurality of connections are established is provided. A communication system according to the present invention includes a user plane PGW (14) configured to connect to a PDN, a user plane SGW (12) configured to relay user plane data between the user plane PGW (14) and a base station (34), and a control plane SGW (30). Further, the communication system includes a control apparatus (32) configured to, when a plurality of connections are established for the communication terminal (36), transmit information indicating that the user plane PGW (14) and the user plane SGW (12) can be integrally configured to the control plane SGW (30) for each of the plurality of connections.

Abstract: An information providing system includes a content association database storing external information, in which content is divided in a chunk structure, and chunk reference information, in which reference information having a different attribute than the content is divided in a chunk structure, in association with each other. An external information similarity calculation database is built on machine learning using the external information. A processor acquires specific external information, and compares the external information with the acquired specific external information. The processor looks up the external information similarity calculation database, and calculates a similarity between the external information and the specific external information, when the external information does not match with the acquired specific external information.

Abstract: An information processing device is configured to output work information related to work performed by a serving person, the information processing device including an image acquisition unit configured to acquire an original image including a served person and a plurality of served objects that the serving person serves, an image division unit configured to divide the original image into a served-person image, in which the served person is captured, and a plurality of served-object images, in which each served object is captured, a scene estimation unit configured to estimate a scene, which is the situation the serving person is in, by using a first trained model, a chunk estimation unit configured to estimate a chunk, which is information dividing or suggesting the work information, by using one of a plurality of second trained models, and an output unit configured to output the chunk.

Abstract: A vehicle control apparatus includes a host vehicle position recognizer, a moving object recognizer, a map database, an influence recognizer configured to recognize an influence of a moving object around the host vehicle traveling along a target path of the host vehicle, and a vehicle controller configured to decelerate the host vehicle to avoid collision with the moving object based on the influence. Map information includes area information regarding a plurality of areas on the map for specifying the moving object that is a target of recognizing the influence. When the host vehicle position satisfies predetermined host vehicle position conditions set in advance for each area, the influence recognizer recognizes the influence of the moving object present in the area where the host vehicle position satisfies the host vehicle position conditions, based on the host vehicle position, the area information, and the recognition result from the moving object recognizer.

Abstract: An information providing system is an information providing system for selecting reference information that is appropriate when a user to perform a task related to a device works on the task, and has an acquiring unit for acquiring acquired data including first image data, in which a specific device and a specific identification label for identifying the specific device are photographed. The system also includes a first database that is built on machine learning, using a data structure for machine learning, which includes a plurality of items of training data that each include evaluation target information including image data, and a meta-ID linked with the evaluation target information. The image data includes an image showing the device and the identification label for identifying the device.

Abstract: An information providing system is an information providing system for selecting reference information that is appropriate when a user to perform a task related to a device works on the task, and has an acquiring unit for acquiring acquired data including first image data, in which a specific device and a specific identification label for identifying the specific device are photographed. The system also includes a first database that is built on machine learning, using a data structure for machine learning, which includes a plurality of items of training data that each include evaluation target information including image data, and a meta-ID linked with the evaluation target information. The image data includes an image showing the device and the identification label for identifying the device.

Abstract: An information processing apparatus outputs operational information as information regarding a first operation and a second operation performed by an operator on an object as an operation target, the information processing apparatus including a scene estimator, a chunk estimator, a transition destination suggestion unit, and an output unit. The scene estimator obtains first images as images of a scene in a state where the operator performs the first operation and the second operation, and estimates the scene by using a first learned model describing an association between the first image and a scene ID that uniquely indicates the scene. The chunk estimator obtains second images as images of an object of the first operation and the second operation, and estimates a chunk by using one of a plurality of second learned models that store an association between the second image and one or a plurality of meta IDs for chunk.

Abstract: A content model data base stores past target information, which includes past first video information acquired in advance, reference IDs, which are linked with the past target information, and which correspond to contents, and three or more levels of degrees of content association between the past target information and the reference IDs. A first acquiring unit acquires the target information from a user terminal, a first evaluation unit looks up the content model database and acquires ID information, which includes the degrees of content association between the target information and the reference IDs, and a judging unit judges the ID information. Contents that correspond to the ID information are output to the user terminal based on the result of judgment by the judging unit.

Abstract: A content model data base stores past target information, which includes past first video information acquired in advance, reference IDs, which are linked with the past target information, and which correspond to contents, and three or more levels of degrees of content association between the past target information and the reference IDs. A first acquiring unit acquires the target information from a user terminal, a first evaluation unit looks up the content model database and acquires ID information, which includes the degrees of content association between the target information and the reference IDs, and an output unit outputs the contents corresponding to the ID information. After the output from the output unit, the ID information, acquired by the first evaluation unit, is stored in an ID history unit.

Abstract: An information processing device to output work information, which is information related to work performed by a user, has a scene estimation unit to acquire a first image, location information, and time information, all relating to the work, and to estimate a scene by using a first trained model, a chunk estimation unit to acquire a second image, of equipment related to the work, and estimate a chunk by using one of a plurality of second trained models, in which associations among the second image, a chunk ID that uniquely identifies the chunk, which is information that divides or suggests the work information, and one or a plurality of chunk-meta IDs that are associated on a one-to-one basis, are stored, and an output unit to output the chunk.

Abstract: An information processing device is configured to output work information related to work performed by a serving person, the information processing device including an image acquisition unit configured to acquire an original image including a served person and a plurality of served objects that the serving person serves, an image division unit configured to divide the original image into a served-person image, in which the served person is captured, and a plurality of served-object images, in which each served object is captured, a scene estimation unit configured to estimate a scene, which is the situation the serving person is in, by using a first trained model, a chunk estimation unit configured to estimate a chunk, which is information dividing or suggesting the work information, by using one of a plurality of second trained models, and an output unit configured to output the chunk.