Abstract: A label assignment model generation device extracts a plurality of feature amounts for a word from a document as an extraction source, and generates, based on an appearance frequency of each of the extracted feature amounts, a label assignment model that is a machine learning model and assigns a label to a word included in a document as an assignment target. The label assignment model generation device adjusts a degree of influence of the feature amount on the label assignment model based on a deviation of the appearance frequency of each of the plurality of feature amounts. The label assignment model generation device extracts a plurality of feature amounts for a word from a remaining document excluding a predetermined document from a plurality of documents as extraction sources, and generates the label assignment model based on the appearance frequency of the extracted feature amounts.

Abstract: A peer-to-peer terminal includes a bid data obtaining unit, a bid data transmitter, a contract result calculator, a contract result transmitter, a contract result receiver, and a contract result selector. The bid data obtaining unit obtains bid data. The bid data transmitter transmits the bid data to another peer-to-peer terminal. The contract result calculator calculates a contract result from a bid data set obtained by the bid data obtaining unit and including the bid data. The contract result transmitter transmits the contract result to the other peer-to-peer terminal. The contract result receiver receives, from the other peer-to-peer terminal, another contract result calculated by the other peer-to-peer terminal. The contract result selector selects one contract result from among the contract result and the other contract result.

Abstract: An optical transmission system including an optical transmission device and an optical reception device that receives, via an optical transmission line, a signal transmitted from the optical transmission device, the optical transmission system including a transmission-mode selection unit that selects transmission mode information in descending order of priority out of transmission mode information, which is combinations of a plurality of parameters concerning transmission performance, the transmission mode information being a plurality of kinds of the transmission mode information common to the transmission performance of the optical transmission device and the optical reception device, a signal transmission unit that transmits, to the optical reception device, a signal modulated based on the selected transmission mode information, and a signal reception unit that receives the signal and modulates the received signal based on the transmission mode information selected by the transmission-mode selection unit.

Abstract: A failure location estimation apparatus sets partial networks obtained by dividing a network into one or more networks, and verifies connectivity of a path for each of combinations of terminal nodes for each of the partial networks. The failure location estimation apparatus selects some or all combinations of the combinations of terminal nodes determined to have an abnormality in connectivity for each of the partial networks, and verifies connectivity of a path for each of combinations of nodes included in a selected node connection that is the selected combinations of terminal nodes. The failure location estimation apparatus estimates a failure location in the network based on a verification result of connectivity of each of the combinations of nodes.

Abstract: A transfer device includes a detection unit configured to detect a sign of a failure in a link between transfer devices, and a management unit configured to update a routing table to lower a priority of a path via the link when the sign of the failure is detected by the detection unit.

Abstract: A transmission apparatus includes a control unit for carrying out processing to secure a resource for a standby system path in response to detection of a sign of failure in an active system path.

Abstract: A multi-core optical fiber includes a central core disposed at the center of a cladding; and outer cores helically wound around the central core. The following Formula (1) is satisfied: n e ? ? 1 × ( 1 fw - B ) < n e ? ? 2 ? ave × ( 1 fw + A ) < n e ? ? 1 × ( 1 fw + B ) ? ? A = ( 1 fw ) 2 + ( 2 ? ? ? ? d ave ) 2 - 1 fw ? ? B = A 1 + A · fw ( 1 ) where dave is an average of a distance d between the central core and the outer cores, fw is the number of helical turns of the outer cores per unit length, ne1 is an effective refractive index of the central core, and ne2ave is an average of effective refractive indices of the outer cores.

Abstract: An adapting device according to an embodiment includes: a first storage unit configured to store correspondence information representing a correspondence relation between processing requested by a higher-level system and a method for implementing the processing in a lower-level system; a conversion unit configured to convert a processing request from the higher-level system to the lower-level system into a processing procedure capable of being implemented in the lower-level system and supply the processing procedure to the lower-level system; and an additional information processing unit configured to generate additional information to be supplied to the lower-level system together with the processing procedure.

Abstract: A state estimating device includes a pre-processing unit and an estimating unit. The pre-processing unit acquires data representing at one or more of a phase of a signal transmitted from a transmission unit of a transmission device and received at a reception unit of another transmission device via a transmission path, a reception strength, a reception quality, a voltage after conversion into an electric signal, and a signal processing parameter used in reception processing, and processes the acquired data into feature data to be used for state estimation. The estimating unit estimates a state of the transmission path, an abnormal state of the transmission unit, or an abnormal state of the reception unit, on the basis of the feature data.

Abstract: A software cooperation possibility determination apparatus stores pieces of software configuration information which are pieces of information regarding configurations of determination target software which is software for which cooperation possibility with cooperation destination software which is software of a cooperation destination is to be determined and verified software which is software verified that the software is able to cooperate with the cooperation destination software, acquires information regarding data output from the determination target software and information regarding data output from the verified software and input to the cooperation destination software from the pieces of software configuration information, and determines consistency or similarity between the information regarding the data output from the determination target software and the information regarding the data output from the verified software, and determines the cooperation possibility of the determination target software

Abstract: An analysis support apparatus includes: a feature interpreting section extracting a feature from a target analysis model generated from vibration data and classifying the feature into an abnormality determination feature, or a feature representing a vibration and enabling determining whether abnormality occurs; an abnormality determination range creating section identifying a range being determined to be abnormal of the abnormality determination feature of the target analysis model as an abnormality determination range; a similar model selecting section calculating an overlapping degree indicating how much the abnormality determination ranges of the target analysis model and one or more predetermined reference analysis models overlap and selecting, based on the overlapping degree, a similar analysis model similar to the target analysis model from the reference analysis models; and an abnormality range difference calculating section extracting a difference between the abnormality determination ranges of the ta

Abstract: A failure location estimation apparatus sets partial networks obtained by dividing a network into one or more networks, and verifies connectivity of a path for each of combinations of terminal nodes for each of the partial networks. The failure location estimation apparatus selects some or all combinations of the combinations of terminal nodes determined to have an abnormality in connectivity for each of the partial networks, and verifies connectivity of a path for each of combinations of nodes included in a selected node connection that is the selected combinations of terminal nodes. The failure location estimation apparatus estimates a failure location in the network based on a verification result of connectivity of each of the combinations of nodes.

Abstract: An information processing device specifies a plurality of cooccurrence words common to first and second words, and determines synonymity or relevancy about the first word and the second word based on cooccurrence indices between the specified cooccurrence words and each of the first and second words. More specifically, the information processing device selects, from among the specified cooccurrence words, one cooccurrence word in which at least one of cooccurrence indices between the specified cooccurrence word and the first and second words does not exceed a preset first threshold, and obtains a difference in cooccurrence index between each selected cooccurrence word and each of the first and second words, if the difference exceeds a preset second threshold, the information processing device determines the first and second words as relevant word candidates, and if the difference does not exceed the second threshold, the information processing device determines them as synonym candidates.

Abstract: A software cooperation possibility determination apparatus stores pieces of software configuration information which are pieces of information regarding configurations of determination target software which is software for which cooperation possibility with cooperation destination software which is software of a cooperation destination is to be determined and verified software which is software verified that the software is able to cooperate with the cooperation destination software, acquires information regarding data output from the determination target software and information regarding data output from the verified software and input to the cooperation destination software from the pieces of software configuration information, and determines consistency or similarity between the information regarding the data output from the determination target software and the information regarding the data output from the verified software, and determines the cooperation possibility of the determination target software

Abstract: An estimation method includes: generating information regarding success or not success in a connectivity checking test between “N” nodes in a case in which a failure occurs in a verification target path including the nodes, the information being generated as pattern information for each failure location; selecting “M” network devices from among a plurality of network devices in accordance with occurrence of the failure; executing the connectivity checking test between the selected network devices; comparing a checking result of the connectivity checking test with pattern information that satisfies “N=M” in the pattern information; and estimating the failure location in the service path based on the failure location associated with the pattern information in a case in which the pattern information that satisfies “N=M” matches the checking result.

Abstract: There is provided an optical transmission system in which a plurality of optical transmission and reception apparatuses perform 1-to-N transmission and reception of optical signals (N is an integer equal to or greater than 1), the optical transmission system being configured to select a communication condition that includes at least a modulation scheme or a baud rate and is a communication condition when each of the optical transmission and reception apparatuses performs transmission and reception in accordance with a transmission line condition that is between any one first optical transmission and reception apparatus and each of second optical transmission and reception apparatuses, which are N grounds, other than the first optical transmission and reception apparatus.

Abstract: A fault diagnosis unit (42) of a fault diagnosis apparatus (4) performs a fault diagnosis of a communication network (2) with a probabilistic inference algorithm using information on the communication network (2) having been gathered by an NW monitoring unit (41). A diagnosis result determining unit (43) determines test items for confirming and determining a diagnosis result of the fault diagnosis. A test performing unit (44) performs a confirmation test of the determined test items. The diagnosis result determining unit (43) determines a likelihood of the diagnosis result of the fault diagnosis based on a result of the confirmation test.

Abstract: An optical transmission system including an optical transmission device and an optical reception device that receives, via an optical transmission line, a signal transmitted from the optical transmission device, the optical transmission system including a transmission-mode selection unit that selects transmission mode information in descending order of priority out of transmission mode information, which is combinations of a plurality of parameters concerning transmission performance, the transmission mode information being a plurality of kinds of the transmission mode information common to the transmission performance of the optical transmission device and the optical reception device, a signal transmission unit that transmits, to the optical reception device, a signal modulated based on the selected transmission mode information, and a signal reception unit that receives the signal and modulates the received signal based on the transmission mode information selected by the transmission-mode selection unit.

Abstract: A label assignment model generation device extracts a plurality of feature amounts for a word from a document as an extraction source, and generates, based on an appearance frequency of each of the extracted feature amounts, a label assignment model that is a machine learning model and assigns a label to a word included in a document as an assignment target. The label assignment model generation device adjusts a degree of influence of the feature amount on the label assignment model based on a deviation of the appearance frequency of each of the plurality of feature amounts. The label assignment model generation device extracts a plurality of feature amounts for a word from a remaining document excluding a predetermined document from a plurality of documents as extraction sources, and generates the label assignment model based on the appearance frequency of the extracted feature amounts.

Abstract: A multi-core optical fiber includes a central core disposed at the center of a cladding; and outer cores helically wound around the central core. The following Formula (1) is satisfied: n e ? ? 1 × ( 1 fw - B ) < n e ? ? 2 ? ave × ( 1 fw + A ) < n e ? ? 1 × ( 1 fw + B ) ? ? A = ( 1 fw ) 2 + ( 2 ? ? ? ? d ave ) 2 - 1 fw ? ? B = A 1 + A · fw ( 1 ) where dave is an average of a distance d between the central core and the outer cores, fw is the number of helical turns of the outer cores per unit length, ne1 is an effective refractive index of the central core, and ne2ave is an average of effective refractive indices of the outer cores.