Abstract: According to an embodiment, a multiplexing system includes servers. Each server includes a memory, a processing unit, a decision controller, and a restoring unit. The memory is configured to store internal data. The processing unit is configured to output, as first data, deterministic data or the nondeterministic data. The deterministic data is uniquely determined by an operation based on input data and the internal data having not yet been processed. When the processing unit cannot determine deterministic output it outputs the nondeterministic data. The decision controller is configured to select either the first data output from the each server or the first data output from another server, and decide the selected first data as second data. The restoring unit is configured to, when the second output data is the nondeterministic data, restore the internal data to a state of the internal data having not yet been processed.

Abstract: A knowledge construction and utilization system includes a plurality of user terminals and a server. Each of the user terminals includes an input mechanism for inputting a first knowledge information piece, a communication mechanism for transmitting and receiving the first knowledge information piece to and from the server, and an output mechanism for outputting a received knowledge information piece. The server receives the first knowledge information piece input from one of the user terminals, analyzes a topic and a speech function of the first knowledge information piece, extracts one or more of the knowledge information pieces having a correspondence to the first knowledge information piece based on the result in the analysis, and notifies other user terminals than the user terminal which transmitted the first knowledge information piece of the fact that the one or more knowledge information pieces are transmitted to the user terminal.

Abstract: According to an embodiment, a creation device creates a code table including a plurality of code words. A recognition device identifies a code word represented by a code image based on a result of character recognition of the code image formed on an object, the code table, and a confusion matrix preliminarily created. The confusion matrix represents probabilities that characters are recognized when the recognition device performs character recognition on an image. The creation device includes a change unit, an evaluation value calculation unit, and a control unit. The change unit changes the code table. The evaluation value calculation unit calculates an evaluation value of the changed code table using the confusion matrix. The control unit causes the change of the code table and the calculation of the evaluation value to be repeated such that the evaluation value becomes small.

Abstract: A logistics management device includes an information acquirer and an information processor. The information acquirer is configured to acquire identification information about cargo, identification information associated with a first sensor device for acquiring environmental information related to a storage location included in a section through which the cargo was transported, identification information about a second sensor device that is configured to move along with the cargo, environmental information acquired by the first sensor device, environmental information acquired by the second sensor device, and history information obtained by performing a prescribed process on the cargo. The information processor is configured to integrate the information acquired by the information acquirer and generate section environmental information indicating an environment in which the cargo was placed in the section through which the cargo was transported.

Abstract: According to an embodiment, a recognition device includes a candidate detection unit, a recognition unit, a matching unit, and a prohibition processing unit. The candidate detection unit detects, from an input image, character candidates each being a set of pixels estimated to include a character. The recognition unit recognizes each of the character candidates and generates one or more recognition candidates each being a character of a candidate as a recognition result. The matching unit matches each of the one or more recognition candidates with a knowledge dictionary in which a recognition target character string is modeled, and generates matching results obtained by matching a character string estimated to be included in the input image with the knowledge dictionary. The prohibition processing unit deletes, from the matching results, a matching result obtained by matching a character string including a prohibition target character string with the knowledge dictionary.

Abstract: According to one embodiment, an operation estimating method comprises presetting a plurality of operation candidates to be estimated, acquiring acceleration data from an activity meter worn by a person being measured, calculating estimated probabilities of the operation candidates from the acquired acceleration data, selecting an operation candidate corresponding to a maximum probability from the calculated estimated probabilities, as an estimated operation, and correcting the estimated operation in consideration of a past operation performance when the maximum probability of the estimated probabilities is lower than a predetermined value.

Abstract: An information processing device includes a divider and an identifier. The divider divides a plurality of sentences included in a processing target sentence set into a plurality of groups based on a supervised topic list representing a list of supervised topic name that is set in advance. The identifier identifies a topic name for each of the groups based on the supervised topic list.

Abstract: An input support apparatus of an embodiment includes a template storage unit configured to store a form template that is a template for form data having one or more slots to which item values are input in correspondence with item names, the form template describing item names of the respective slots and alternatives of an alternative type slot in which an item value is selected from a plurality of alternatives together with respective readings thereof; an acquisition unit configured to acquire recognition result data obtained by speech recognition performed on utterance of a user, the recognition result data containing a transcription and a reading; and a determination unit configured to determine the item values to be input to the slots of the form data based on the reading of the recognition result data and the readings of the item names and the alternatives described in the form template.

Abstract: An audio output system according to an embodiment has functions as: a receiving unit that receives voice data including a voice or sound data including a sound as output-data to be output; a content identification information generating unit that generates content identification information for identifying content that is determined from the output-data; a status identification information generating unit that generates status identification information for identifying a status from at least one of sensor data and input data; a parameter information generating unit that generates parameter information used for controlling output of the output-data from the content identification information and the status identification information; and an output control unit that controls audio output of the output-data by using the parameter information.

Abstract: An information management system includes: a storage section storing a data model created based on product manufacturing planning, the data model corresponding to an area where manufacturing achievement data from the manufacturing process is accumulated; an information collection section configured to collect various types of data forming the manufacturing achievement data from a data source involved in the manufacturing process; and a manufacturing management section configured to store the manufacturing achievement data in the associated data model. The manufacturing management section is configured to use the various types of data to create the manufacturing achievement data according to a data structure definition template for organizing the various types of data in association with a thing performed and a situation during the performance in the manufacturing process.

Abstract: A data processing device according to an embodiment includes a sub-vector group generating unit, a codebook generating unit, and a converting unit. The sub-vector group generating unit generates, from a feature vector set of N number of D-dimensional feature vectors, M number of sub-vector groups (where M<D holds true). Each of the M number of sub-vector groups includes N number of dimension-variable sub-vectors obtained from the N number of D-dimensional feature vectors. For each of the M number of sub-vector groups, the codebook generating unit performs clustering of the N number of dimension-variable sub-vectors, and generates a codebook in which the representative vector of each cluster is associated with an index. The converting unit performs product quantization using the codebook and converts each of the N number of D-dimensional feature vectors into a compressed code made of a combination of M number of indexes.

Abstract: According to an embodiment, a pattern recognition device is configured to divide an input signal into a plurality of elements, convert the divided elements into feature vectors having the same dimensionality to generate a set of feature vectors, and evaluate the set of feature vectors using a recognition dictionary including models corresponding to respective classes, to output a recognition result representing a class or a set of classes to which the input signal belongs. The models each include sub-models each corresponding to one of possible division patterns in which a signal to be classified into a class corresponding to the model can be divided into a plurality of elements. A label expressing a model including a sub-model conforming to the set of feature vectors, or a set of labels expressing a set of models including sub-models conforming to the set of feature vectors is output as the recognition result.

Abstract: A software update system updating software executed on a predetermined system for controlling a mobile body and including a vehicle-mounted gateway (GW) apparatus within the mobile body and connected to the predetermined system, and a software (SW) update apparatus connected to the vehicle-mounted gateway apparatus through a network. The SW update apparatus delivers software to the vehicle-mounted GW apparatus, receives reception OK or reception NG of the software from the vehicle-mounted GW apparatus, and records the reception OK or the reception NG in the delivery-side log information. The vehicle-mounted GW apparatus records reception OK or reception NG of the software in the mobile body-side log information associated with the delivery-side log information, and transmits the reception result to the SW update apparatus.

Abstract: A sound generating device according to an embodiment includes a sound tube and a sound generator. The sound tube is to be held between a tragus and an antitragus. The sound generator is disposed inside the sound tube.

Abstract: According to an embodiment, a pattern recognition device recognizes a pattern of an input signal by converting the input signal to a feature vector and matching the feature vector with a recognition dictionary. The recognition dictionary includes a dictionary subspace basis vector for expressing a dictionary subspace which is a subspace of a space of the feature vector, and a plurality of probability parameters for converting similarity calculated from the feature vector and the dictionary subspace into likelihood. The device includes a recognition unit configured to calculate the similarity using a quadratic polynomial of a value of an inner product of the feature vector and the dictionary subspace basis vector, and calculate the likelihood using the similarity and an exponential function of a linear sum of the probability parameters. The recognition dictionary is trained by using an expectation maximization method using a constraint condition between the probability parameters.

Abstract: A childcare support service offering system includes a terminal and a server. The terminal includes a camera and performs operation control and processing of transmitting terminal usage situation data including image data acquired by being picked up by the camera to the server. The server performs image analysis on the received image data, recognizes the user that watches the terminal, judges a gaze of the recognized user, and judges a degree of interest for the terminal based on the gaze. When the judged degree of interest becomes equal to or less than a predetermined threshold value, the server transmits a changing instruction for causing an operation in the terminal to be changed to another operation to the terminal.

Abstract: An information processing system according to an embodiment includes a conversationer, a storage, and a system-user conversationer. The conversationer performs conversation with a user by generating a speech. The storage stores conversation information indicating a conversation rule of the speech. The system-user conversationer converts the speech generated by the conversationer into a mode according to the user by using the conversion information stored in the storage.

Abstract: A communication device according to an embodiment includes an interpreter, a storage, and a generator. The interpreter is configured to interpret a content of a message addressed to a target user. The storage stores information on a personal feature of the target user. The generator is configured to generate a response message simulating a response by the target user on the basis of the content of the message addressed to the target user, which is interpreted by the interpreter, and the information on the personal feature of the target user stored in the storage.

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: According to an embodiment, an utterance presentation device includes an utterance recording unit, a voice recognition unit, an association degree calculation unit, and a UI control unit. The utterance recording unit is configured to record vocal utterances. The voice recognition unit is configured to recognize the recorded utterances by voice recognition. An association degree calculation unit is configured to calculate degrees of association of the recognized utterances with a character string specified from among character strings displayed in a second display region of a user interface (UI) screen having a first display region and the second display region. A UI control unit is configured to display voice recognition results of utterances selected based on the degrees of association in the first display region of the UI screen.