Abstract: A computer system acquires information on a first present input subset selected from first present input data for a first step from a run-time log of the first step, determines whether or not first cache data corresponding to the first present input subset for the first step is present in a cache area with reference to management information, and determines the first cache data as present output data for the first present input data in a case where the first cache data is present.

Abstract: The analysis system executes an analysis process which takes as input data at least portions of: time series data of a plurality of instances of value data which each include times and values; and analysis data which includes data which has been outputted by previous analysis processes. Each of the one or more objects is a process definition conforming to a user operation. In the analysis process, the analysis system skips at least one of: an execution of a process conforming to an object which matches any previous object; an execution of a process conforming to an object for a scope block and process description, among a plurality of scope blocks which constitute the scope to be analyzed, which match a scope block and process description which are associated with any stored data block; and/or the storage of a data block which matches any stored data block.

Abstract: An event flow system connecting nodes, for which processes are defined, from an upstream side to a downstream side by an event which is generated due to a certain process and is used by another process to realize a process flow is provided. The event flow system includes: a process flow builder configured to build a process flow using a plurality of nodes, one or more events, and a reverse event that sends a predetermined request, from a downstream node to an upstream node disposed further toward an upstream side than the downstream node; and a process flow executer configured to execute a process defined for each of the plurality of nodes according to the event and the reverse event.

Abstract: The analysis system executes an analysis process which takes as input data at least portions of: time series data of a plurality of instances of value data which each include times and values; and analysis data which includes data which has been outputted by previous analysis processes. Each of the one or more objects is a process definition conforming to a user operation. In the analysis process, the analysis system skips at least one of: an execution of a process conforming to an object which matches any previous object; an execution of a process conforming to an object for a scope block and process description, among a plurality of scope blocks which constitute the scope to be analyzed, which match a scope block and process description which are associated with any stored data block; and/or the storage of a data block which matches any stored data block.

Abstract: An information processing system includes: a document reception unit configured to receive multiple pieces of document data; a data storage unit configured to store the received multiple pieces of document data; and a correspondence relation estimation unit configured to estimate a correspondence relation at least between an item in a first document data and an item in a second document data out of the multiple pieces of document data stored in the data storage unit. The correspondence relation estimation unit includes an item-item coupling relation extraction unit configured to extract a coupling relation among items in the first document data and a coupling relation among items in the second document data, and a word relationship extraction unit configured to extract a relevance between a word that appears in an item in the first document data and a word that appears in an item in the second document data.

Abstract: Indexes having local features are automatically selected from sensor data of a plurality of sensors. Sensor data of the plurality of sensors, each associated with the plurality of indexes, is partitioned into a plurality of blocks. A principal component analysis is applied to the sensor data of each of the partitioned blocks and a plurality of principal components are extracted from each of the blocks. A migration distance evaluation unit extracts, from two different blocks, two principal components that form a principal component pair, and calculates a migration distance between each of the principal components regarding the extracted principal component pair. A migration factor index detection unit detects, as a migration factor index, an index among the plurality of indexes configuring the principal components having a large migration distance among the migration distances between each of the principal components calculated by the migration distance evaluation unit.

Abstract: A traceability system includes: a Equipment table that stores production data of a product manufactured in a first process, in which an individual ID is appended to a product; a Equipment table that stores production data of a product manufactured in a second process, in which an individual ID is not appended to a product; a training data setting unit that creates a training data table that stores the Equipment table and the Equipment table, which are correlated with each other; a feature amount extracting unit that calculates a cycle time of a predetermined number of products manufactured in the past in the first process; a model creation section that creates a production time estimation model for estimating a production time at which a product has been manufactured in the second process on the basis of the cycle time of the products; and a production time estimating unit.

Abstract: A series data distributed processing system including a parallel processing system and a distributed series data management unit managing distributed series data, wherein: the parallel processing system includes, on each computing device, a data block, a data block processing server for processing the data block, and a block processing integration server for processing a result from the data block processing server, the data block being formed from a plurality of values each associated with one of a plurality of sequential labels in the series data; and the distributed series data management unit includes a distributed information management database for managing data blocks, which retains management data, including sequential label ranges, which refer to ranges of sequential labels in the data blocks, series IDs corresponding to value names in the data blocks, and meta-information identifying computing devices retaining the data blocks.

Abstract: An event flow system connecting nodes, for which processes are defined, from an upstream side to a downstream side by an event which is generated due to a certain process and is used by another process to realize a process flow is provided. The event flow system includes: a process flow builder configured to build a process flow using a plurality of nodes, one or more events, and a reverse event that sends a predetermined request, from a downstream node to an upstream node disposed further toward an upstream side than the downstream node; and a process flow executer configured to execute a process defined for each of the plurality of nodes according to the event and the reverse event.

Abstract: A time-series data management method for generating a histogram from time-series data using a computer provided with a processor and a storage device, the computer storing the time-series data including a time of day and a value in the storage device, storing section information including a start time, an end time, and an identifier of the time-series data in the storage device, generating the histogram from the time-series data corresponding to the section information and storing the generated histogram in the storage device, accepting a section to be searched and selecting the histogram associated with the section to be searched, and combining the selected histograms and generating a histogram for the section to be searched

Abstract: A series data distributed processing system including a parallel processing infrastructure and a distributed series data management unit managing distributed series data, wherein: the parallel processing infrastructure includes, on each computing device, a data block, a data block processing server for processing the data block, and a block processing integration server for processing a result from the data block processing server, the data block being formed from a plurality of values each associated with one of a plurality of sequential labels in the series data; and the distributed series data management unit includes a distributed information management database for managing data blocks, which retains management data, including sequential label ranges, which refer to ranges of sequential labels in the data blocks, series IDs corresponding to value names in the data blocks, and meta-information identifying computing devices retaining the data blocks.

Abstract: Disclosed is a computer system provided with a plurality of sensors provided in a plurality of devices to observe a predetermined amount, and a server for examining the physical amount transmitted from the sensors, wherein the plurality of devices are classified into a first device group and a plurality of second device groups, a plurality of second examination rules indicating the examination methods of the physical amount are set in the plurality of second device groups, the server calculates the similarity between the first device group and each of the second device groups, and, on the basis of the calculated similarity, a first examination rule to be set in the first device group is extracted from the plurality of second examination rules set in the plurality of second device groups.

Abstract: In a system manages a plurality of pieces of sensor information in a plant, or the like, it can be reducing an amount of data stored in a database and easily a processing for searching a place of an anomaly and an anomaly cause. A database management method for use in a computer for managing a database, the database management method including: a step of analyzing a query; a step of generating a first inquiry for searching the database for compressed data; a step of generating a second inquiry for executing a search of time-series data; a step of extracting given data from the obtained time-series data, based on a response result of the second inquiry; and a step of generating an output result by extracting data to be output to a client computer from the given data.

Abstract: The present invention provides a data processing system and a data processing device with which a search for data having a desired time-series data pattern is carried out quickly from among a large amount of stored time-series data. The data processing device generates feature information which indicates the features of received data, associates the feature information with said data which is held in a connected storage device and records the feature information in the storage device, and carries out a search in relation to the data held in the storage device, based on the feature information held in the storage device. Furthermore, the data processing device generates new feature information based on multiple items of said feature information.

Abstract: Provided is a stream data processing device for processing stream data composed of input data that includes time, the device having: a data input module for receiving the input data; a first key for designating, as data sets, the items of the input data for processing the input data in chronological order; a query recorder for receiving a stream data definition and a query definition, and generating an operator to process the input data; and a data executing module for determining the operator for processing the input data and outputting results; the input module sorting the received input data for each of the data sets according to the item designated by the first key, sorting the input data in chronological order for each of the data sets, and generating an input stream; and the data executing module processing the input stream with the operator for each of the data sets.

Abstract: Disclosed is a computer system provided with a plurality of sensors provided in a plurality of devices to observe a predetermined amount, and a server for examining the physical amount transmitted from the sensors, wherein the plurality of devices are classified into a first device group and a plurality of second device groups, a plurality of second examination rules indicating the examination methods of the physical amount are set in the plurality of second device groups, the server calculates the similarity between the first device group and each of the second device groups, and, on the basis of the calculated similarity, a first examination rule to be set in the first device group is extracted from the plurality of second examination rules set in the plurality of second device groups.

Abstract: A sensor-Net system includes sensor nodes which are in intermittent operation so as to save power by repeating activated state and inactivated state at a regular interval. Synchronization of time in the system is executed by aligning to the intermittent operation of the sensor nodes. A management server issues a setTime command for configuring the time to each gateway node at a specified interval. Each router node sets or corrects the time of it based on the time received from the gateway node and thereafter turns ON the time configuration flag for each sensor node in order to expand the setTime command to all of its sibling sensor nodes. The router node, upon reception of a polling, which is a command request, from the sensor node, obtains the time at that time, then uses the time to generate a setTime command to transmit to that sensor node.

Abstract: In a system manages a plurality of pieces of sensor information in a plant, or the like, it can be reducing an amount of data stored in a database and easily a processing for searching a place of an anomaly and an anomaly cause. A database management method for use in a computer for managing a database, the database management method including: a step of analyzing a query; a step of generating a first inquiry for searching the database for compressed data; a step of generating a second inquiry for executing a search of time-series data; a step of extracting given data from the obtained time-series data, based on a response result of the second inquiry; and a step of generating an output result by extracting data to be output to a client computer from the given data.

Abstract: In a sensor network system comprising a sensor terminal and a management server, the sensor terminal transmits observation data acquired using the sensor, the management server has a latest data storage manager which manages the latest observation data among observation data received from the sensor terminal, a history data storage manager which manages the history of the observation data from any time when data was received from the sensor terminal to the latest observation data, and a missing data manager which manages missing history data, and compensates the missing history data based on a predetermined rule, and when a request for such observation data is received, at least one of the latest observation data managed by the latest data storage manager, and history data wherein the missing data has been compensated and managed by the history data storage manager, is output according to the type of request.

Abstract: An overload on a communication path in a sensor network system is prevented while transferring information from a sensor node as close to real time as possible. When the transfer rate of events transferred from a boundary node (DR) toward a gateway (GW) exceeds a limit transfer rate (VL), one of nodes on the sensor node (S) side whose transmission rate meets a preset condition is identified as an excess transmission rate node. The excess transmission rate node, or a node that is not the excess transmission rate node and whose transmission rate should be reduced, is chosen as a deceleration node. A node that reduces the transmission rate of events from the deceleration node, or the transfer rate of the events, is chosen as a deceleration processing executing node. The deceleration processing executing node is instructed to execute preset processing.