Abstract: A cause-effect sentence analysis device including: a cause-effect sentence extraction unit configured to extract a cause-effect sentence including a cause expression and an effect expression from a text; an acquisition unit configured to acquire information indicating a reference expression for analyzing the degree of similarity; a similarity degree analysis unit, for a cause-effect sentence extracted by the cause-effect sentence extraction unit, configured to calculate a cause similarity degree, namely, the degree of similarity between the reference expression and the cause expression included in the cause-effect sentence, and an effect similarity degree, namely, the degree of similarity between the reference expression and the effect expression; and a desired cause-effect sentence extraction unit for extracting a cause-effect sentence in which one of the cause expression and the effect expression included in the cause-effect sentence is similar to the reference expression and the other is not similar to the

Abstract: A polymer physical property prediction device includes a processor, and a memory storing program instructions that cause the processor to read a structural unit from a storage unit and use the structural unit to calculate numbers each indicating how many substructures are in a polymer, the polymer being formed of repetition of the structural unit, calculate a number indicating how many atoms are in the structural unit, calculate number densities of the substructures from the numbers of substructures and the number of atoms in the structural unit, construct a regression model that predicts a physical property value by using an experimental value of a physical property of the polymer and the number densities of the substructures, input a polymer structure of which the physical property value is to be predicted, and predict the physical property value corresponding to the input polymer structure by using the regression model.

Abstract: A lithium ion battery lifetime prediction method executes, by a computer, acquiring training data including cycle measurement data and lifetime data of a battery, learning a lifetime prediction model using the training data with respect to one or more cycle numbers at which a prediction is made, to acquire a set of learned lifetime prediction models corresponding to the cycle numbers at which the prediction is made, respectively, successively acquiring cycle measurement data for prediction of a battery that is a prediction target, up to the cycle numbers at which the prediction is made, respectively, and inputting the cycle measurement data for prediction acquired up to the cycle numbers at which the prediction is made, to the learned lifetime prediction models of the corresponding cycle numbers at which the prediction is made, and acquiring a probability distribution of a lifetime at the cycle numbers at which the prediction is made, respectively, as an output.

Abstract: To improve accuracy in a document search for a document that includes a typographical error. A document retrieval device according to one embodiment of the present invention includes a misidentification table storing a correctly identified character string and a misidentified character string. The document retrieval device includes a document searcher. The document searcher obtains a search character string, and retrieves the search character string from both a document and a character string that is obtained by changing the misidentified character string included in the document to the correctly identified character string.

Abstract: An anomaly detection device is provided with a learning unit that generates a detection model using a communication log during normal operation of a communication apparatus as learning data and an anomaly detection unit that detects anomaly of the communication apparatus using the generated detection model. The anomaly detection device is further provided with a data acquisition unit that acquires a communication log (second communication log) generated during a predetermined period later than a first communication log and a determination unit that instructs relearning using the second communication log when there is difference information between the learning data (first communication log) of the current detection model and the second communication log and when the number of pieces of additional information (information on the additional flow) or the number of pieces of deletion information (information on the delete flow) included in the difference information satisfies predetermined evaluation criteria.

Abstract: A communication system including an operational network including a host and a learning and detection server, and a staging network including a host of the same type as the host, a test execution server, and a learning and detection server. The test execution server performs a communication test by transmitting test communication in a normal state to the host and receiving communication performed by the host. The learning and detection server learns the communication of the host, generates an initial model for detecting an anomalous communication of the host, and transmits the initial model to the learning and detection server. The learning and detection server learns the communication of the host and generates a model for detecting an anomalous communication of the host, while monitoring the communication of the host using the initial model received from the learning and detection server.

Abstract: A document search device includes a processor, and a memory storing program instructions that cause the processor to search for an input keyword in a document database in which document information including text data extracted by using a character recognition process from document image data generated by imaging a paper document is stored, select a similar keyword in accordance with a degree of similarity to the input keyword from a group of wildcard strings generated from the input keyword and search for the similar keyword in the document database, the degree of similarity being determined by comparing each character of the input keyword with a corresponding character of a wildcard string in the group of wildcard strings, and output a search result obtained by searching for the input keyword in the document database and a search result obtained by searching for the similar keyword in the document database.

Abstract: A document retrieval apparatus includes a processor which receives an input of a keyword, acquires an author's name and a document file from a digital document database which stores document files of text data obtained by performing a character recognition process with respect to document image data of handwritten documents, and names of authors who wrote the handwritten documents, references an associating keyword database which stores information associating the authors' names, keywords, and associating keywords, to acquire an associating keyword of the input keyword, from the received input keyword and the acquired author's name, searches the acquired document file, using the input keyword and the acquired associating keyword, and outputs a search result of the searching.

Abstract: A document search device includes a document search unit configured to search for an input keyword in a document database in which document information including text data is stored, the text data being extracted, by using a character recognition process, from document image data generated by imaging a paper document, a similar keyword selecting unit configured to select a similar keyword in accordance with a degree of similarity to the input keyword, from a group of wildcard strings generated from the input keyword, and cause the document search unit to search for the similar keyword in the document database, and an output unit configured to output a search result obtained by searching for the input keyword in the document database and a search result obtained by searching for the similar keyword in the document database.

Abstract: To improve precision while maintaining a balance between accuracy and comprehensiveness of a document search. According to one embodiment of the present invention, a document search device includes an input reception unit configured to receive an input of a keyword of a document search, a document search unit configured to acquire, from a document, a hit character string matching a character string in which a portion of characters of the keyword is replaced with a wildcard, and character strings before and after the hit character string, and compute a likelihood of the hit character string, based on the hit character string, and the character strings before and after the hit character string, and a search result display unit configured to output a result of the document search based on the likelihood.

Abstract: A fluorine-containing ether compound of the present invention is represented by the following General Formula (1). (In the General Formula (1), X is a trivalent atom or a trivalent atom group, A is a linking group including at least one polar group, B is a linking group having a perfluoropolyether chain, and D is a polar group or a substituent having a polar group at the end.) [Chem.

Abstract: A material design system includes an expert terminal capable of using a model learning interface for performing machine learning of a model that inputs and outputs a correspondence between a design condition and a material property value of the material to be designed, and a plurality of general-purpose terminals configured to use a material design interface for estimating the material property value based on the design condition or estimating the design condition based on the material property value, by using a learned model that is created by the expert terminal and is for the material to be designed.

Abstract: An acquisition unit acquires a communication feature for normal communication of communication equipment. If a data count or a data acquisition period for the acquired communication feature exceeds a predetermined value, an amplification unit amplifies the data count for the communication feature by a plurality of predetermined schemes in accordance with data counts for respective groups, each group sharing a same 5-tuple. A creation unit creates, for each of the predetermined schemes, reference value information for normal communication of the communication equipment through learning using the amplified communication feature. A determination unit determines accuracy of abnormality detection for each of the predetermined schemes using an anomaly score representing a deviation of test data representing a communication feature for abnormal communication from the reference value information.

Abstract: An anomaly detection device includes a memory, and processing circuitry coupled to the memory and configured to acquire communication feature values of communication devices, calculate, for each transmission source MAC address included in the communication feature values acquired, a total value of the number of transmitted and received packets or a total value of the number of bytes, for each layer-2 switch connected to a corresponding communication device, and determine, for each transmission source MAC address, that a communication device corresponding to the transmission source MAC address is connected to a layer-2 switch whose total value of the number of transmitted and received packets or total value of the number of bytes calculated is the largest.

Abstract: This probe production method is a method of producing a probe (101) having a coating layer (104) on a surface thereof, in which the coating layer (104) is formed on a surface of a base material (103) having a sharp tip end portion (103a) using a gas phase method.

Abstract: Technical knowledge which is difficult for the expert to express in words or numerical form is predicted and reproduced. A technical knowledge prediction apparatus according to one embodiment of the present invention includes a problem setting unit configured to automatically create and set a problem which includes a control factor of a manufacturing step, and a variable of the control factor, an answer acquiring unit configured to acquire an answer with respect to the problem and indicating a decision of the manufacturing step, a query acquiring unit configured to acquire a query, and a prediction output unit configured to predict and output an answer corresponding to the query acquired by the query acquiring unit, based on a corresponding relationship between the problem and the answer.

Abstract: A document retrieval apparatus includes an input reception unit configured to receive an input of a keyword, a document acquisition unit configured to acquire an author's name and a document file from a digital document database which stores document files of text data obtained by performing a character recognition process with respect to document image data of handwritten documents, and names of authors who wrote the handwritten documents, a keyword acquisition unit configured to reference an associating keyword database which stores information associating the authors' names, keywords, and associating keywords, and acquire an associating keyword of the input keyword, from the input keyword received by the input reception unit and the author's name acquired by the document acquisition unit, a document search unit configured to search the document file acquired by the document acquisition unit, using the input keyword and the acquired associating keyword, and a search result output unit configured to output a

Abstract: A material design device derives the optimal solution for a design condition satisfying a desired material property. A design condition setting unit for setting a specified range of a design condition of a material to be designed. A comprehensive prediction point generation unit generates a plurality of comprehensive prediction points within the specified range set by the design condition setting unit. A design condition-material property table stores data sets in which each point of the comprehensive prediction points is associated with a material property value calculated by inputting the comprehensive prediction points generated by the comprehensive prediction point generation unit, to a learned model. A required property setting unit sets a specified range of a required property of the material. A design condition extraction unit extracts, from the design condition-material property table, a data set satisfying the required property set by the required property setting unit.

Abstract: A document search device includes a document search unit configured to search for an input keyword in a document database in which document information including text data is stored, the text data being extracted, by using a character recognition process, from document image data generated by imaging a paper document, a similar keyword selecting unit configured to select a similar keyword in accordance with a degree of similarity to the input keyword, from a group of wildcard strings generated from the input keyword, and cause the document search unit to search for the similar keyword in the document database, and an output unit configured to output a search result obtained by searching for the input keyword in the document database and a search result obtained by searching for the similar keyword in the document database.

Abstract: A polymer design device according to an embodiment of the present disclosure receives a requirement for a target physical property of a desired polymer, and acquires structural information of polymers. For each polymer corresponding to the acquired structural information, the polymer design device estimates physical property information of the polymer including a mean value and a standard deviation, based on the structural information of the polymer and a regression model, and calculates a score of the polymer based on the requirement for the target physical property and based on the mean value and the standard deviation. From among the acquired structural information of the polymers, the polymer design device selects at least one polymer as the desired polymer, based on the score of each of the polymers, and outputs information of the selected at least one polymer.