Mitsubishi Electric Corporation

Mitsubishi Denki Kabushiki Kaisha

Mitsunori Kori

Mamoru Kato

Satoru Tanaka

Keiji Yoshimura

Norio Hirai

Hideya Shibata

Takayuki Hayakawa

Manabu Michishita

Takaaki Ando

Hidehiro Shimizu

In an image provision apparatus (), a decomposition unit () decomposes image data into pieces of unit image data (). A storing unit () stores, in a memory unit (), image management information () including each piece of unit image data () of the pieces of unit image data and position information. An acquisition unit () accepts a provision request (). The provision request () includes range information representing a range of a partial image in the image. The acquisition unit () acquires a unit image data set () representing unit images each including at least part of the partial image from the image management information (), based on the range information and the position information. A generation unit () generates the partial image () based on the unit image data set ().

Image provision apparatus, image provision method, and computer readable medium

The present invention is provided with a command acceptance unit () to accept a query command () to acquire data from a database, the query command including a value designation range to designate a range of a definition value corresponding to the data to be acquired, an acquisition definition storage unit () to store acquisition definition information () wherein a value definition range is associated with an acquisition method to acquire data from the database, and a command generation unit () to judge whether a range that overlaps with the value definition range exists in the value designation range, and when it is judged that the overlapping range exists, to generate a data acquisition command () to acquire data corresponding to a definition value included in the overlapping range in an acquisition method corresponding to the value definition range.

Data acquisition device, data acquisition method and computer readable medium

In a document classification device, a sample document extraction condition storage unitstores sample document extraction conditions-set for each of classification categories for extracting partial text according to the classification categories from an input documentinput by a document input unit. A document matching unitmatches the input documentagainst the sample document extraction conditions-. Based on a result of matching by the document matching unit, a document extraction unitextracts the partial text from the input documentaccording to the classification categories. A learning unitperforms predetermined machine learning using as a sample document the partial text extracted by the document extraction unit, and thereby generates classification rules-

Classification rule generation device, classification rule generation method, classification rule generation program, and recording medium

A data receiving part receives data transmitted from a plurality of measuring devices. A time determining part distinguishes management time from date and time of the data. The record generating part stores data of the same management time which are received during a predetermined acceptance time, in the same record. When un-arrived data belonging to the same management time exists at the end of the acceptance time, arrival of the un-arrived data is waited for during a predetermined wait time. Even if the data is arrived with some delay, arrival-delayed data can be stored in the same record. Thus, the missing data occurrence frequency can be suppressed.

Data processing apparatus, data processing method, and program

A prediction error calculation part calculates a prediction error for each input data. A prediction error encoding part generates a prediction error code by encoding the value of the prediction error. A run-length counting part counts the run-length of the prediction error. When the value of the prediction error changes, a run-length encoding part generates a run-length code by encoding the run-length counted. A code connecting part generates a connected code by connecting the run-length code to the prediction error code of a corresponding prediction error. When the value of the prediction error is a particular value, a prediction error checking part selects a connected code for the prediction error, as an output code. When the value of the prediction error is a different value, the prediction error checking part selects a prediction error code for the prediction error, as an output code. A code output part outputs the output code selected.

Data compression device, data compression method, and medium

A string matching unitspecifies a category of an input documentby string matching of the input documentand a classifying keyword shown by matching condition information. Learning datashows statistic information of each category. A classifying unitspecifies the category of the input documentbased on a correspondence ratio of the input documentand the statistic information shown by the learning data. A correct answer comparing unitcompares the category specified by the string matching unitand a category of correct answer information. A learning unitcompares the category specified by the classifying unitand the category of the correct answer information. An error rate calculating unitcalculates a classifying error rate of a string matching filter unitand a learning filter unitbased on the comparison result of the correct answer comparing unitand the comparison result of the learning unit. A result outputting unitoutputs the category specified by the filter having a smaller classifying error rate as a classified resultof a classifying target document

Information filtering system, information filtering method and information filtering program

A string matching system comprises a state transition table generator for generating a state transition table based on a matching condition described in a regular expression, and an automaton for including a state that makes a transition according to the state transition table generated by the state transition table generator; if, in the state transition table generated based on the matching condition, there exists no next transition destination state with respect to a current-state and input-characters tuple, the automaton makes a transition to the initial state without proceeding to read input characters. Furthermore, the string matching system comprises a state transition table generator for generating a state transition table based on matching conditions described in a regular expression, and an automaton that makes a transition according to the state transition table generated by the state transition table generator; if no next-transition destination state with respect to a current-state and input-character tuple exists in the state transition table generated based on the matching condition, then the state transition table generator determines an exclusion character based on which the automaton make a transition to a predetermined state without proceeding to read input characters, to generate a state transition table.

String matching system and program therefor

A data management apparatus and method provide for a virtual conversion by repeatedly reading at least one record from an input file having a plurality of records, each record including a plurality of fields, and adding the at least one record to a buffer. The records in the buffer are then converted into a post-conversion block on a field-by-field basis until data size of post-conversion blocks for each kind of field of the records in the buffer exceeds a threshold size. The number of records in the post-conversion blocks can be determined by counting the records in the buffer during a process immediately preceding a time when the data size exceeds the threshold size, and storing that number. The conversion is completed by reading out records of the stored number of records from the input file, converting the records read out into post-conversion blocks on a field-by-field basis, and storing the post-conversion blocks.

Data management apparatus and method for efficiently generating a blocked transposed file and converting that file using a stored compression method

A file management system performs flexible and efficient file management with a transposed file. First, variable-length logical fields constituting the records in an original file are converted to variable-length internal fields with field-to-field correspondence being maintained and fields aligned with word boundaries. Next, the records consisting of internal fields are divided into multiple record groups which may comprise a variable number of records. For each record group, one or a plurality of internal fields of all records are then sorted into blocks and blocks are set in a row as a group. Groups thus generated from all records are assembled into a transposed file. When requested to retrieve field data from the original file, the file management system accesses the transposed file and reads only blocks comprising target field data.

File management method using transposed file

The invention prevents data transfer in a computer network from being sent via a path incapable of transfer or of poor data transfer efficiency. A central processing unit, a main memory unit, and storage devices for storing data and data processing devices are connected in the network, and the data is transferred mutually between the storage devices and the data processing devices without passing through the central processing unit or the main memory unit. The apparatus includes a data transfer control module that identifies the capability/incapability of data transfer based on the physical positions of the storage devices, the physical positions of the data processing devices, and the transfer paths incapable of data transfer. The volume management module specifies a combination of storage devices capable of data transfer based on the physical positions of the storage devices, the physical positions of data processing devices, and the transfer paths capable of data transfer.

Apparatus and method for data transfer including table that stores relative position of devices and data transfer efficiencies of respective transfer paths

A file managing method includes subdividing an original file including records, each record including fields, for storing blocks, each block including fields subdivided from more than one of the records; coupling the blocks to into groups of blocks; rearranging the groups of blocks, and, after rearranging the groups of blocks, coupling the groups of blocks to each other to produce a transposed file; and accessing the fields from the transposed file, at random.

File managing method

A data processing apparatus with a hierarchical bus for realizing appropriate data transfer speed and data processing speed, even if more I/O devices are connected to the data processing apparatus. Processors are provided in a part or all of the layers in the hierarchical bus. The processors perform selection, projection, and accumulation of data transmitted from I/O devices to a main memory. Accordingly, the quantity of data transmitted to a system bus at an upper layer can be reduced, and the quantity of data processed by the central processing unit can be reduced.

Hierarchical bus structure data processing apparatus and method with reduced data transfer volume

An information processing system directly transfers data in file units between devices of a system including a central processing unit and a main memory unit connected to the devices. An address in a physical address space is assigned to a device memory. The assigned address is mapped to a user space in a virtual address space. An address translation table in the main memory unit performs an address translation of the virtual address space and the physical address space. Therefore, the system can treat the device memory as a buffer in the main memory unit.

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Tokyo, Japan

Mitsunori Kori