Abstract: [Problem] To provide a novel optical network which can be used as an in-vehicle optical backbone network and exhibits high capacity, low delay, low power consumption, low noise and low cost.

Abstract: A causality recognizing apparatus includes a candidate vector generating unit configured to receive a causality candidate for generating a candidate vector representing a word sequence forming the candidate; a context vector generating unit generating a context vector representing a context in which noun-phrases of cause and effect parts of the causality candidate appear; a binary pattern vector generating unit, an answer vector generating unit and a related passage vector generating unit, generating a word vector representing background knowledge for determining whether or not there is causality between the noun-phrase included in the cause part and the noun-phrase included in the effect part; and a multicolumn convolutional neural network learned in advance to receive these word vectors and to determine whether or not the causality candidate has causality.

Abstract: An object of the present invention is to provide a novel electro-optic polymer. Another object of the present invention is to provide a novel electro-optic polymer with a low alicyclic methacrylate monomer content. The polymer according to the present invention is a polymer comprising (a) a base polymer having a reactive group (A), (b) an electro-optic molecule having a plurality of reactive groups (B), and a bond (C) formed by reaction of the reactive group (A) with the plurality of reactive groups (B), the bond (C) being at least one type of bond selected from the group consisting of a (thio)ester bond, a (thio)urethane bond, a (thio)urea bond and a (thio)amide bond.

Abstract: A medical support system includes a first transmitting antenna attached to a body surface that transmits a first transmitting wave, and a reflector that is present in the body and reflects the first transmitting wave transmitted from the first transmitting antenna. A first receiving antenna attached to the body surface receives the first transmitting wave transmitted from the first transmitting antenna and a reflected wave reflected by the reflector, and a location estimation device estimates the passage of the reflector in the body based on changes in the respective phases of the first transmitting wave received by the first receiving antenna and the reflected wave, at time t and time t+?t.

Abstract: A holding apparatus includes a first detection unit configured to detect an indicated holding object, a second detection unit configured to detect, when the first detection unit detects the holding object, a tag proximate to the holding object, and a holding part configured to hold a container provided with the tag based on tag information of the tag detected by the second detection unit.

Abstract: The present disclosure provides a method for producing a laminate for non-linear optics.

Abstract: [Problem] To provide a camera with high sensitivity even if an output to the outside is weak. [Solution] This camera includes a light source 3, a demultiplexing unit 5 which demultiplexes light from the light source 3 into first demultiplexed light and second demultiplexed light, a first modulator 7 which modulates the first demultiplexed light to obtain a modulated signal, an emission unit 9 which emits the modulation signal modulated by the first modulator 7, and a phase imparting means 11 which imparts a plurality of types of phase shifts to the second demultiplexed light to obtain phase-imparted local light.

Abstract: A question answering device includes: a general word vector converter converting a question and an answer to semantic vectors in accordance with general context; a general sentence level CNN 214, in response to similarities of semantic vectors between words in question and answer and to strength of causality between the words, for weighting each semantic vector to calculate sentence level representations of the question and the answer; a general passage level CNN 218, in response to similarity between sentence level representations of question and answer, and to strength of relation of vectors in the sentence level representations viewed from causality, for weighting the sentence level representation to calculate a passage level representation for the question and answer passage; and a classifier determining whether or not an answer is a correct answer, based on the similarities between outputs from CNNs 214 and 218.

Abstract: An equipment management system includes an adaptive system control unit which is assigned to at least one piece of equipment installed in a plant and which monitors and controls the equipment via wireless communication. The adaptive system control unit includes an information detection unit for detecting information from the equipment, a detected information control unit for guaranteeing that only acquisition intended information previously intended to be acquired in the information detected by the information detection unit is acquired by the adaptive system control unit, a first data propagation adjustment unit for adjusting a propagation path when transmitting data including information controlled by the detected information control unit to the outside, and an equipment control unit for controlling the equipment on the basis of the information detected by the information detection unit or a control policy from the outside.

Abstract: A dialogue system includes a response utterance selecting unit generating a response utterance original sentence to an input utterance; an input utterance emotion estimating unit estimating emotion of the input utterance by calculating input utterance emotion scores indicating degree of matching between the emotion represented by the input utterance and a plurality of emotions; and a response utterance modifying unit for calculating response utterance emotion scores of a response utterance original sentence as emotion scores for each of the plurality of emotions, modifying the response utterance original sentence by a method of modification determined by the values of input utterance emotion score and the response utterance emotion score, and thereby generating and outputting a response utterance.

Abstract: A summary generating apparatus includes a text storage device storing text with information indicating a portion to be focused on; word vector converters vectorizing each word of the text and adding an element indicating whether the word is focused on or not to the vector and thereby converting the text to a word vector sequence; an LSTM implemented by a neural network performing sequence-to-sequence type conversion, pre-trained by machine learning to output, in response to each of the word vectors of the word vector sequence input in a prescribed order, a summary of the text consisting of the words represented by the word sequence; and input units inputting each of the word vectors of the word vector sequence in the prescribed order to the neural network.

Abstract: It is therefore an object of the disclosure of this document to attain a data transmission system with a simple transmitter implementing polarization multiplexing using either DML or EAM and a receiver with only one PD. A data transmission system 1 which comprises a transmitter 3 and a receiver 5, wherein the transmitter 3 comprises a first signal processor 11 and an optical signal generator 13, the optical signal generator 13 outputs an optical signal which comprises X and Y polarization components, ex(t) and ey(t), and wherein the first signal processor 11 receives a first data stream, Sx, and a second data stream, Sy, and controls the X and Y polarization components to reflect the first and the second data streams, respectively, wherein the receiver 5 comprises only one photodetector 21 and a second signal processor 23.

Abstract: [Problem] With conventional technology, it is impossible to appropriately support spoken dialog that is carried out in multiple languages.

Abstract: [Problem] To provide a novel optical network which can be used as an in-vehicle optical backbone network and exhibits high capacity, low delay, low power consumption, low noise and low cost.

Abstract: In order to solve a conventional problem that, after a series of dialog between a user and a spoken dialog device has progressed to some extent, that user or another user cannot see or recognize a previous dialog status, a cross-lingual spoken dialog system is provided wherein, in a case in which an instruction from a user terminal is received by a pairing server, dialog information stored in a storage medium is transmitted to the user terminal. Accordingly, even after a series of dialog between a user and the spoken dialog device has progressed to some extent, that user or another user can see or recognize a previous dialog status.

Abstract: A communications network system includes a control unit, one or more wireless systems, and application equipment. The control unit acquires information about data that the application equipment communicates via the wireless systems, and acquires information about a wireless environment that has an impact on communications by the wireless systems. The control unit generates a plurality of communications policies that are delivered to the wireless systems, and manages the communications policies that are executed on the wireless systems. The wireless systems store the plurality of communications policies delivered from the control unit, and detect the status of communications, change the communications policies based on the detection result, and control information about data that the application equipment communicates via the wireless systems.

Abstract: A scenario passage pair recognizer includes: a text passage searching unit searching a set of text passages each including no more than a certain number of sentences of a document, and within which all noun phrases included in a scenario candidate co-occur; a feature extracting unit extracting a feature from each combination of the scenario candidate and each searched support passage; a classifier outputting a score indicating reliability of the scenario candidate based on the support passage as a source of the feature; and a score accumulating unit and a maximum value selecting unit, accumulating the scores output from the classifier and selecting the maximum value as the reliability of the scenario candidate. The scenario classifier determines plausibility of the scenario candidate as a causality based on the feature including the score output from the scenario passage pair recognizer.

Abstract: A training apparatus includes an autoregressive model configured to estimate a current signal from a past signal sequence and a current context label, a vocal tract feature analyzer configured to analyze an input speech signal to determine a vocal tract filter coefficient representing a vocal tract feature, a residual signal generator configured to output a residual signal, a quantization unit configured to quantize the residual signal output from the residual signal generator to generate a quantized residual signal, and a training controller configured to provide as a condition, a context label of an already known input text for the input speech signal corresponding to the already known input text to the autoregressive model and to train the autoregressive model by bringing a past sequence of the quantized residual signals for the input speech signal and the current context label into correspondence with a current signal of the quantized residual signal.

Abstract: To realize sampling (signal measurement) and analysis of a signal to be measured easily at low cost by capturing optical phase fluctuation even when low-speed sampling is carried out.

Abstract: The time of transmission and reception between stations A and B is exchanged, and any deviation in time is calculated in a corresponding manner in the stations.