Hitachi, Ltd.

Waseda University

Masayoshi Mase

Yuxin Liang

Masashi Egi

Junji Yamamoto

Tatsuya Saito

Takao Sakurai

Jun Okitsu

Keiji Kimura

Tohru Nojiri

Hironori Kasahara

Katsuro Kikuchi

Toshihiro Kujirai

Yasuhide Mori

Daisuke Tashiro

Hiroyuki Namba

Naofumi Hama

Naoaki Yokoi

Yaemi Teramoto

There is provided is a computer system that outputs a predicted value of data to be evaluated using a predictor generated using learning data. The computer system includes the predictor; an index calculation unit that calculates an interpretation index of the data to be evaluated; and an extraction unit that selects the learning data useful for a user to interpret the predicted value of the data to be evaluated, wherein index management information for managing an interpretation index of the learning data is stored, the index calculation unit calculates the interpretation index of the data to be evaluated, and the extraction unit calculates a selection index based on the interpretation index of the data to be evaluated and the interpretation index of the learning data, selects the learning data based on the selection index, and outputs display information for presenting information indicating a processing result.

Computer system and method of presenting information related to basis of predicted value output by predictor

Provided is a reward function generation method for calculating a reward in reinforcement learning, the method being executed by a computer, and the method includes accepting input of an instruction to generate a reward function including a plurality of setting data that is information regarding a key performance indicator, generating one partial reward function for one of the setting data, generating a linear combination of a plurality of the partial reward functions as the reward function, and outputting information regarding the reward function generated to the computer that executes the reinforcement learning, by the computer.

Reward function generation method and computer system

Provided is a technique for reducing the calculation load in navigation management of a moving body within a freely navigable space. The system has a storage unitfor storing movement locus data showing a plurality of movement loci in which a moving body is moved in a two-dimensional or three-dimensional space in which free movement is possible; a network model management unitfor integrating sections approximated by the plurality of movement loci on the basis of the movement locus data, and generating a network model showing a route within the space; a navigation schedule calculation unitfor calculating a navigation schedule when a plurality of moving bodies planning to pass within the space navigate within that space according to the network model route; and a display processing unitfor outputting the calculated navigation schedule to a display apparatus.

Moving body management system and method

In one or more embodiments, a method of generating a code by a compiler includes: analyzing a program executed by a processor; analyzing data necessary to execute respective tasks included in the program; determining whether a boundary of the data used by divided tasks is consistent with a management unit of a cache memory based on results of the analyzing; and generating the code for providing a non-cacheable area from which the data to be stored in the management unit including the boundary is not temporarily stored into the cache memory and the code for storing an arithmetic processing result stored in the management unit including the boundary into a non-cacheable area in a case where it is determined that the boundary of the data used by the divided tasks is not consistent with the management unit of the cache memory.

Method of providing a non-cacheable area in memory

An analysis apparatus is connectable to a terminal capable of displaying web pages by accessing a web server capable of executing a web application. The analysis apparatus comprises a processor, a memory and an interface. The processor is configured to perform the following processing of: receiving at least one log concerning the web application stored in the terminal from the terminal via the interface; acquiring a plurality of kinds of use condition feature values based on the log received, the plurality of kinds of use condition feature values being information characterizing conditions of use of the web application; analyzing whether a correlation exists between a first kind of use condition feature values and a second kind of use condition feature values in the plurality of kinds of use condition feature values acquired in the processing of acquiring; and outputting an analysis result obtained by the processing of the analyzing.

Analysis apparatus and analysis method

A traffic control assisting system ('assisting system') stores action data on an action of a moving object, geographic data in which geographic attribute information, which is information on a reference of movement of the moving object, is imparted to individual segments that are meshes into which a map is divided, and responsiveness data on the moving object's responsiveness to an instruction. The assisting system estimates an ideal action of the moving object based on the responsiveness data; calculates a difference between the estimated action and an action in the action data; updates the responsiveness data based on a result of the calculation; estimates probability of presence of the moving object at certain coordinates at each time point based on the action data, the geographic data, and the responsiveness data and generates a geographic E map; and predicts future coordinates of the moving object based on the geographic E map.

Traffic control assisting system

An information processing system which determines an allowable temperature of intake air to an information processing apparatus based on information of a temperature of intake air to the information processing apparatus, information of a temperature of exhaust air of the information processing apparatus, information of a power consumption of the information processing apparatus, and information of an allowable temperature of exhaust air of the information processing apparatus to thereby save power of the information processing system.

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Tokyo, Japan

Masayoshi Mase