Abstract: [PROBLEM] To provide a technology of effectively using supplied electric power through adjustment of a charge schedule period of an EV. [SOLVING MEANS] A charge period adjusting apparatus according to embodiments includes an acquiring section and a control section. The acquiring section is configured to acquire a power supply schedule amount of an electric system including a charger connected during charge of an electric vehicle. The control section is configured to set a charge period such that the electric vehicle is charged by the charger in a time frame in which the power supply schedule amount acquired by the acquiring section exceeds a threshold value.

Abstract: Provided is a knowledge extracting apparatus for extracting knowledge information related to a knowledge-extraction target from an electronic document distributed continually in a state where the electronic document is not associated with the knowledge-information extraction target. A knowledge extracting apparatus according to one embodiment is a knowledge extracting apparatus including: an information receiving section for receiving an electronic document; a knowledge extracting section for extracting a concept from the electronic document based on a target word to extract knowledge information and a clue word to extract knowledge information and forming knowledge information in which the concept thus extracted and the target word are associated with each other; a storage section for storing the knowledge information thus extracted; and an information analysis section for, after the knowledge information is stored, analyzing the electronic document based on the knowledge information in the storage section.

Abstract: According to one embodiment, a tiered storage system includes a first storage device, a second storage device and a storage controller. The storage controller determines, when a range of an access request to a logical unit extends over some of logical extents in the logical unit, that these logical extents are correlated with each other. The storage controller transfers data of a set of the correlated logical extents as one extent group collectively in units of physical extents between the first storage device and the second storage device.

Abstract: According to an embodiment, an apparatus includes an acquisition unit, a first controller, an acceptor, a generator, and a second controller. The acquisition unit is configured to acquire characteristic information on a subject. The first controller is configured to generate a screen according to the acquired characteristic information and display the display screen on a first display. The screen contains clothing images corresponding to the acquired characteristic information in first information in which the characteristic information and the clothing images are associated with each other. The acceptor is configured to accept from the subject a selection of an image of clothing to be tried on from among the clothing images displayed on the first display. The generator is configured to generate a composite image of a subject image of the subject and the selected clothing image. The second controller is configured to display the composite image on a second display.

Abstract: According to one embodiment, a storage device includes a storage, first data in which a sequence number indicating a write-completion order is associated with each erase unit area included in areas of the storage, second data indicating a relationship between each write interval and each write destination, a selection module which obtains the erase unit area corresponding to a logical address of target data to be written, calculates a write interval of the target data from a difference between the sequence number at an occurrence time of writing and the sequence number corresponding to the erase unit area of the first data, and selects the write destination corresponding to the write interval of the target data, and a write module which writes the target data to the selected write destination, and changes the sequence number when writing is completed for one erase unit area.

Abstract: According to one embodiment, a tiered storage system includes a tiered storage device and a computer. The computer uses the tiered storage device, and includes a file system and a correction support unit. If an access request from an application is a write request to request overwriting of data, the file system executes a copy-on-write operation. The correction support unit causes the storage controller to carry over an access count manacled by the storage controller and associated with the logical block address of a copy source in the copy-on-write operation, to an access count associated with the logical block address of a copy destination in the copy-on-write operation.

Abstract: A storage system includes a storage unit and a control unit. Data is stored in the storage unit. The control unit performs replication of data that is updated, based on the frequency with which the data is updated. The control unit may include a frequency detection unit, a policy management unit, and a replication performance unit. The frequency detection unit detects the update frequency with which the data is updated, by detecting the number of times that the data is updated. The policy management unit determines a replication policy for the data based on the update frequency with which the data is updated. The replication performance unit performs replication of the updated data based on the replication policy.

Abstract: According to an embodiment, a data processing device includes an extractor, a generator, and a constructor. The extractor is configured to extract, from a document having been subjected to predicate argument structure analysis and anaphora resolution, an element sequence including elements each being a combination of predicate having a shared argument and case type information of the shared argument, together with the shared argument. The generator is configured to produce case example data expressed by a feature vector for each attention element which is one of the elements. The feature vector includes feature value(s) about a sub-sequence having the attention element and feature value(s) about a sequence of the shared argument corresponding to the sub-sequence. The constructor is configured to construct a script model for estimating the elements each following antecedent context by performing machine learning based on a discriminative model using the case example data.

Abstract: A network monitoring device according to an embodiment monitors a message that is periodically transmitted in a network in which a message identified by an identifier is transmitted and received, and includes a reception time recording unit and an unauthorized-transmission determination unit. The reception time recording unit records a reception time in association with the identifier, every time a message to be monitored is received. The unauthorized-transmission determination unit determines presence of an unauthorized transmission on the received message to be to be monitored, based on a latest reception time Ti, an m previous reception time Ti-m, a message transmission period F, and a constant ? determined in advance, in a period from the reception time Ti-m to the reception time Ti, every time the message to be monitored is received.

Abstract: According to one embodiment, a tiered storage system includes a first storage device, a second storage device and a storage controller. The first and second storage devices are positioned as an upper tier and a lower tier, respectively. The storage controller transfers data of q physical extents in the second storage device to q free physical extents in the first storage device, when an access request from a host computer designates access to one or more logical blocks including a first logical block, the first logical block is included in a first logical extent, and the first logical extent belongs to an extent group including q logical extents to which the q physical extents are allocated.

Abstract: A storage unit of a time-series data accumulation device of an embodiment stores statistical value data. A determination unit determines an interval function on the basis of data capacity, and a total amount of time elapsed from the beginning of measurement of a time-series data. A first calculation unit calculates an interval indicating an amount of time required to measure all the time-series data items constituting desired statistical value data on the basis of the determined interval function. A second calculation unit acquires all the time-series data items on the basis of the calculated interval, and thereafter calculates the statistical value on the basis of all the acquired time-series data items. A write unit writes the calculated statistical value to the storage unit as the statistical value data.

Abstract: According to one embodiment, a RAID storage system includes a RAID storage device and a storage controller. The RAID storage device includes at least one RAID array. The at least one RAID array has a plurality of stripe groups. The storage controller controls access to the at least one RAID array. The storage controller includes an input/output controller and a patrol controller. The input/output controller executes one of a write access and a read access to a requested stripe group in the at least one RAID array according to an access request from a host device. The patrol controller patrols a stripe group having been subjected to write access, more preferentially than other stripe groups.

Abstract: A train scheduling diagram correction apparatus complies earliest and latest timings of a node on a schedule line placed in a shift direction and updates a network diagram by correcting a running hour/minute of the same train between a pair of neighboring trans on the schedule line placed in a schedule line shift direction on the basis of constraint time requirement data of arcs relating to the corresponding nodes in response to shift point information of the schedule line input from an input unit.

Abstract: In an embodiment, a storage device includes a shingled magnetic recording device, a management unit, selection unit, and execution unit. The shingled magnetic recording device performs writing in unit of a band including tracks being adjacent to and partially overlapping with each other. The management unit manages management information mutually associating band identifier of the band, characteristic information indicating a possibility that data stored in the band is not referred to, and data identifier of the data in a case where the data is stored in the band. The selection unit selects the band of the shingled magnetic recording device storing the data based on the data and the characteristic information in a case where the shingled magnetic recording device is requested to store the data. The execution unit stores the data to the selected band.

Abstract: According to an embodiment, a data compression device includes a receiving unit, generating unit, a selecting unit, and a compressing unit. The receiving receives input data pieces. The generating unit generates starting point candidates representing the data having an error within a threshold value with respect to starting point data input at a first timing. The selecting unit refers to the starting point candidates, end point data input at a second timing, and intermediate data input at a timing in between the first timing and the second timing; and selects the starting point candidate which, as compared to the other candidates, has a greater number of pieces of the intermediate data approximated using the starting point candidate and using the end point data in such a way that the error is within the threshold value. The compressing unit outputs the selected starting point candidate and the end point data.

Abstract: A sequential data analysis apparatus extracts a pattern of two or more sets of items based on an appearance frequency of each of different sets of items in first sequential data, selects a pattern of two or more sets of items based on an appearance frequency of a sub-pattern formed of a portion of the extracted pattern, creates a related pattern including the same last set of items as and the other sets of items different from the selected characteristic pattern, calculates an evaluation value of the related pattern, creates a prediction model by organizing data of the characteristic pattern and the related pattern, and applies second sequential data to the prediction model to determine a result which the second sequential data is likely to lead to.

Abstract: A re-encryption key generator according to an embodiment generates a re-encryption key to obtain re-encrypted data that can be decrypted by a second private key of a second user device by re-encrypting ciphertext obtained by encrypting plaintext by a first public key of a first user device without decryption. The re-encryption key generator stores a first private key corresponding to the first public key. The re-encryption key generator stores a second re-encryption key generation key of the second user device that is different from a second public key corresponding to the second private key. The re-encryption key generator generates the re-encryption key based on the first private key and the second re-encryption key generation key.

Abstract: Upon receiving ciphertext data transmitted by each service apparatus, a cooperation apparatus according to an embodiment generates re encrypted data by performing re encryption processing for the ciphertext data using are encryption key. Each of the service apparatuses transmits, to the cooperation apparatus, a request to acquire user information of a user specified by an identification (ID) indicated by the ciphertext data and stored in the other service apparatus, together with the ciphertext data. Upon receiving the re encrypted data transmitted by the cooperation apparatus, the service apparatus acquires an ID by decrypting the re encrypted data using a private key, reads out user information, and transmits the user information to the other service apparatus.

Abstract: A voice selection supporting device according to an embodiment of the present invention includes an acceptance unit that accepts input of a text, an analysis knowledge storage unit that stores therein text analysis knowledge to be used for characteristic analysis for the input text, an analysis unit that analyzes a characteristic of the text by referring to the text analysis knowledge, a voice attribute storage unit that stores therein a voice attribute of each voice dictionary, an evaluation unit that evaluates similarity between the voice attribute of the voice dictionary and the characteristic of the text, and a candidate presentation unit that presents, based on the similarity, a candidate for the voice dictionary suitable for the text.

Abstract: According to an embodiment, a device includes a detector, first and second recognizers, an estimator, a second recognizer, and an output unit. The detector is configured to detect a visible text area including a visible character from an image. The first recognizer is configured to perform character pattern recognition on the visible text area, and calculate a recognition cost according to a likelihood of a character pattern. The estimator is configured to estimate a partially-hidden text area into which a hidden text area estimated to have a hidden character and the visible text area are integrated. The second recognizer is configured to calculate an integrated cost into which the calculated cost and a linguistic cost corresponding to a linguistic likelihood of a text that fits in the entire partially-hidden text area are integrated. The output unit is configured to output a text selected or ranked based on the integrated cost.