Hitachi, Ltd.

Xanavi Informatics Corporation

Hitachi Information & Telecommunication Engineering, Ltd.

Toyota Jidosha Kabushiki Kaisha

Clarion Co

Hitachi Solutions, Ltd.

Akinori Asahara

Kishiko Maruyama

Hideki Hayashi

Akio Sumizawa

Shigeru Shimada

Atsushi Hiroike

Takuya Kanazawa

Manabu Morita

Hidekazu Morita

Nobuo Sato

Kiyohiro Obara

Naoki Shimode

Yoshihiro Osakabe

Daisuke Ito

Noriyuki Abe

Shinji Fujiwara

Tetsuya Shoji

Itaru Nishizawa

Masao Yano

Michio Morioka

Natsuko Sugaya

Akiko Sato

Takeshi Homma

Masahiro Oba

Hisashi Takahashi

Hiroaki Kokubo

Hiroshi Minagawa

Wataru Oikubo

Yuuichi Ogawa

Kanta Ono

Takashi Mishima

Kenji Naka

Yu Kitano

Hitoshi Tomita

Hirokazu Inayoshi

Yuta Kobayashi

Tomohide Suzuki

Katsuya Asada

Akihiro Kaneko

A system converts a first input idea vector representing an idea into a first contracted vector. The system generates one or more second contracted vectors in a multivariate space to which the first contracted vector belongs, based on a value of a first predetermined component of the first contracted vector in the multivariate space. The system generates, respectively from the one or more second contracted vectors, one or more first output idea vectors representing a candidate idea to be proposed to a user. The multivariate space is configured to maintain a similarity between an input idea vector for generating a contracted vector and an output idea vector generated from the contracted vector and a similarity between the first predetermined component of the contracted vector and a first predetermined index value.

System and method for generating candidate idea

A people flow prediction system and method are provided, in which a first conversion model for converting virtual getting in and out data before a certain time point into a number of people who appear after the certain time point and a second conversion model for converting the virtual getting in and out data after a certain time point into the number of people who appear before the certain time point are created based on the number of people who appear and the virtual getting in and out data. A prediction model is learned based on the number of people who appear converted by the second conversion model, and a number of people who appear after a certain time point is predicted from the on-site getting in and out data before the certain time point by using the first conversion model and the prediction model.

People flow prediction method and people flow prediction system

A structure model includes a first encoder that converts a compound structure representation to a real number vector and a first decoder that estimates the compound structure representation from the real number vector resulting from the conversion by the first encoder. A structure-property relationship model includes a second encoder that converts, to a real number vector, an extended vector including, as components, the real number vector generated by the first encoder and a target value vector including target values of one or more physical property values and a second decoder that estimates the extended vector from the real number vector generated by the second encoder.

System for generating compound structure representation

The draft document generating method repeats question processing for component elements selected from the case database to the user. The question processing presents, by an output device, one or more of the component elements selected from the case database to the user, presents a question as to whether the component elements are applicable to contents of a draft document to the user, acquires, via an input device, an answer of the user to the question; and adds the answer in an answer history. The selecting of the one or more component elements for which the question processing is to be executed next from unprocessed component elements in the plurality of cases is based on statistics of part of the component elements in the plurality of cases. The draft document is generated based on a component element indicating that the answer history is applicable to contents of the draft document.

Apparatus for generating draft document and method therefor

Automated analysis of particle beam measurement results is facilitated by a device that calculates a spatial parameter distribution representing spatial structure of a sample based on a scattering pattern corresponding to projection of the spatial structure of the sample to wavenumber space, the projection being obtained by detecting scattering of a particle beam which enters the sample and intersects with the sample. The device includes a section to provide estimates for signals on the scattering pattern in association with at which point on a spatial parameter distribution of the sample interactions occur during scattering; a section to aggregate estimation results of the interaction estimation section to calculate a spatial parameter distribution of a sample matching an aggregated result; and a section to perform alternately and repeatedly estimation in the interaction estimation section and calculation in the parameter distribution calculation section in order to improve estimation accuracy in spatial parameter distributions.

Particle beam experiment data analysis device

Provided is a report writing support system including: a document model determination unit that determines a document model storing a template of a draft to be presented to a user, on the basis of an answer to a selective question and a question determination model that determines a further question to the answer; a template application unit that asks a descriptive question for asking a question about a content lacking in the template of the draft stored in the document model on the basis of the determined document model and the answer or a further answer, and applies an answer to the descriptive question to the template of the draft; and a presentation processing unit that presents the template of the draft, to which the answer to the descriptive question is applied, as a draft to be presented to the user.

Report writing support system and report writing support method

The measurement guide device is able to easily select the next measurement target on the basis of previously obtained measurement results. The measurement guide device includes a database, a similarity search section, and a next-point proposal section. The database stores a virtual measured signal and a measurement procedure that are obtained by simulation. The similarity search section extracts, from the database, virtual measured signals similar to measurement results obtained by a measurement device, and measurement procedures regarding the virtual measured signals. The next-point proposal section selects at least one measurement procedure from the measurement procedures obtained by the similarity search section, and determines the next measurement point.

Measurement guide device and simulation computing device used therefor

A device control system includes a control request issuing unit for issuing a control request defining a position of a moving object and the device control according to operation of a user; a determination plan generation unit configured to, based on the control request, generating a condition; a determination unit for determining whether a condition of the control request related to the moving object is satisfied and issuing an identifier of the control request; at least one condition determination generated by the determination plan generation unit; an execution plan generation unit for generating a control execution unit configured to receive the identifier of the control request, identifying a device that is a control target according to a control rule defined in the control request, and transferring a control command according to a control procedure, and one or a plurality of control execution units generated by the execution plan generation unit.

Device control system and method thereof

The multidimensional data management system for speedily registering and searching multidimensional data includes: a central processing unit and a storage device that stores the multidimensional data including the respective values of plural dimensions, and multidimensional management data associating the ranges of the respective values of plural dimensions with character strings. The central processing unit obtains the respective values of a plurality of dimensions included in each multidimensional data; obtains the ranges of the respective values of a plurality of dimensions defined in the multidimensional management data within which the obtained respective values of the plurality of dimensions fall respectively; obtains character strings associated with the obtained ranges of the respective values of the plurality of dimensions in the multidimensional management data; couples the obtained character strings; and associates the coupled character strings with each multidimensional data, and stores each multidimensional data with the coupled character strings.

Multidimensional data management system and multidimensional data management method

A client device accepts event information for which a people flow prediction is to be performed from a user and the client device inputs the accepted event information to a people flow prediction device. The people flow prediction device outputs a result of people flow prediction responsive to the input event information to the client device and the client device displays the result of people flow prediction to the user. The people flow prediction device performs a people flow prediction by temporally and spatially allocating an event attendance which has been input from the client device to pathways, each connecting a transport facility at which a people flow originates and an event site. Consequently, it is possible to predict a flow of people who attend an event or the like, the people flow differing from that in an ordinary situation, without need to input real-time data.

People flow prediction device

In a behavior characteristic amount analysis system, a necessary storage capacity is saved and reduced upon a statistical process performed on a large amount of measured data from a sensor or the like and the analysis of characteristics of a target to be measured. A behavior characteristic amount analyzing server includes a central processing unit and a storage device. The storage device holds a sensor table group of sensor tables holding sensor data from the sensor, and a pivot table of pivot tables aggregated based on the sensor table group and one or a combination of the moving object, time, and a location. The central processing unit generates the pivot tables based on information of the sensor tables for each of predetermined time periods, causes the generated pivot tables to be stored in the storage device, and deletes the sensor tables used for the generation of the pivot tables.

Behavior characteristic amount analysis system and behavior characteristic amount analysis method

A confined space estimation system, and a confined space estimation method capable of accurately confirming a confined space formed in the event of a disaster, estimates a confined space comprising a storage device which stores information indicating a geographical space, and a processor which divides the geographical space into grids. Based on location information sent from a terminal, the processor periodically aggregates a number of terminals within the grids or a number of terminals that passed through boundaries between the grids, extracts grids or boundaries in which the aggregated number of terminals is a predetermined number and in which there is no change in the aggregated number of terminals, determines whether the extracted grids or boundaries can be linked to form an annular shape, and, if the annular shape can be formed, estimates a geographical space configured from the grids within the formed annular shape as the confined space.

Confined space estimation system and confined space estimation method

It is provided a spatio-temporal data management system for managing time series data associated with a spatio-temporal region, comprising: a processor for executing a program; a memory for storing the program; and a storage device for storing the time series data. The processor segments the spatio-temporal region in time and space to generate a plurality of spatio-temporal segments, assigns, in consideration of temporal and spatial proximity of the plurality of spatio-temporal segments, identifiers for uniquely identifying the plurality of spatio-temporal segments, each of the identifiers being expressed with a one-dimensional integer value; and determines an arrangement of the time series data so that pieces of data of spatio-temporal segments that are close in the assigned identifiers are arranged close on the storage device.

Spatio-temporal data management system, spatio-temporal data management method, and machine-readable storage medium thereof

A navigation apparatus comprises a map display control unit that displays a map on a display monitor, a voice information outputting unit that outputs voice information related to traveling of a vehicle, and a highlighting unit that highlights a part of the map that corresponds to the voice information in synchronization with output of the voice information by the voice information outputting unit.

Navigation apparatus

It is provided a speech recognition system installed in a terminal coupled to a server via a network. The terminal holds map data including a landmark. The speech recognition system manages recognition data including a word corresponding to a name of the landmark, and sends update area information and updated time to the server. The server generates, when recognition data of the area of the update area information sent from the terminal has been changed after updated time, difference data between latest recognition data and recognition data of the update area information at a time of the updated time, and sends the generated difference data and map data of the update area information to the terminal. The terminal updates the map data based on the map data sent from the server. The speech recognition system updates the recognition data managed by the terminal based on the difference data.

Speech recognition system and data updating method

Growing community of inventors

Kokubunji, Japan

Akinori Asahara