Abstract: An information processing device includes a sensor that measures predetermined data, a model storage unit that stores a model obtained by modeling time series data measured in the past, an information amount computation unit that computes an information amount obtained from measurement based on the difference of an information amount when measurement by the sensor is not performed which is decided based on a prior distribution of state variables of the model and an information amount when measurement by the sensor is performed which is decided based on a posterior distribution of the state variables of the model, and a measurement control unit that controls the sensor based on the information amount obtained from the measurement.

Abstract: An information processing device includes a main sensor that is a sensor that is operated in at least two operation levels and acquires predetermined data, a sub sensor that is a sensor that acquires data different from that of the main sensor, and an information amount calculation unit that predicts the difference between an information amount when measurement is performed by the main sensor and an information amount when measurement is not performed by the main sensor from data obtained by the sub sensor and decides the operation level of the main sensor based on the prediction result.

Abstract: The present invention relates to a data processing device, a data processing method, and a program which enable prediction to be performed even when there is a gap in the current location data to be obtained in real time. A learning main processor 23 represents movement history data serving as data for learning, as a probability model which represents a user's activity, and obtains a parameter thereof. A prediction main processor 33 uses the probability model obtained by learning to estimate a user's current location from movement history data to be obtained in real time. In the event that there is a data missing portion included in movement history data to be obtained in real time, the prediction main processor 33 generates the data missing portion thereof by interpolation processing, and estimates state nose series corresponding to the interpolated data for prediction.

Abstract: An information processing device includes an acquisition unit acquiring a viewing log including information representing content of an operation for viewing content and time of the operation, a learning unit learning, based on the viewing log acquired by the acquisition unit, a viewing behavior model which is a stochastic state transition model representing a viewing behavior of a user, a recognition unit recognizing, using the viewing behavior model obtained through learning by the learning unit, a current viewing state of the user, a prediction unit predicting, using the viewing behavior model, the viewing behavior of the user after a predetermined period of time with the current viewing state of the user recognized by the recognition unit as a starting point, and a display control unit displaying information relating to content predicted to be viewed through the viewing behavior predicted by the prediction unit.

Abstract: There is provided a transmission system, including a power supplying apparatus that includes an AC signal generation unit that generates an AC signal, a first resonance unit that has an induction component and/or a capacitance component and resonates the AC signal generated by the AC signal generation unit, and a power supplying electrode that externally radiates the resonated AC signal as a potential difference in an electrostatic field, and a power receiving apparatus that includes a power receiving electrode that generates an electric signal by sensing the potential difference in the electrostatic field, a second resonance unit that has an induction component and/or a capacitance component and resonates the electric signal generated by the power receiving electrode, and a rectification unit that rectifies the resonated electric signal.

Abstract: There is provided a communication apparatus includes a soft decision data detection section which detects soft decision data from a received digitally modulated signal; an indicator calculation section which calculates an indicator indicating a degree of variation in the soft decision data detected by the soft decision data detection section; and a packet length control section which controls a packet length in accordance with the indicator calculated by the indicator calculation section.

Abstract: There is provided a signal processing apparatus includes a sampling clock generator for generating a sampling clock by delaying, a phase of a driving clock having the same frequency as a carrier-wave; a logic data generator for generating logic data in synchronization with the driving clock, that the logic data are generated by using the driving clock generated to sample a modulation signal obtained by shifting a phase of the carrier-wave; a sampling bit-string generator for generating a sampling bit-string by shifting the logic data; a phase-error data generator for using a bit-string corresponding to one cycle of the carrier-wave extracted from the sampling bit-string to generate phase-error data between a phase of the bit-string and the phase of the carrier-wave; and an extraction position determination unit for determining, based on the phase-error data, an extraction position of the bit-string having a phase similar that of the carrier-wave.

Abstract: A power transfer device includes: a transformer that couples a primary circuit and a secondary circuit and has a coupling constant of less than 1; and capacitances that are respectively provided in the primary circuit and the secondary circuit, and connected in series with coils that form the transformer. Circuit constants of the primary circuit and the secondary circuit are set so that the primary circuit and the secondary circuit resonate at the same frequency and a product of the square of the coupling constant, a Q value of the primary circuit and a Q value of the secondary circuit is 1. The primary circuit transfers power to the secondary circuit by means of the transformer, using a carrier wave having the resonance frequency.

Abstract: A communication system includes: a transmission device configured to transmit predetermined information; and a reception device configured to receive the predetermined information; wherein the transmission device includes an encoding unit configured to encode the information such that the error rate of the information in the case of a signal-to-noise ratio being greater than a first signal-to-noise ratio is at or below a predetermined value, and the error rate in the case of a signal-to-noise ratio being smaller than a second signal-to-noise ratio becomes 1/2; and wherein the reception device includes a decoding unit configured to decode the information subjected to encoding by the encoding unit.

Abstract: There is provided a communication apparatus including a reference electrode; a signal electrode which electrostatically couples to a communication medium; a measurement unit for measuring an impedance of a circuit system including between the reference electrode and the signal electrode; and a transmission processing unit for creating a potential difference between the signal electrode and the reference electrode based on a transmission power corresponding to the impedance of the circuit system measured by the measurement unit, and transmitting a signal to another communication apparatus electrostatically coupled to the communication medium.

Abstract: A signal processing device for detecting, from an input signal expressing data series, the data, including: a sampling clock generating unit for generating, from a driving clock with a predetermined cycle, multiple sampling clocks with mutually different phases and the same cycle as the cycle; a sampling data generating unit for sampling the input signal using the multiple sampling clocks, and generating a plurality of sampling data; a phase comparison data generating unit for generating phase comparison data indicating phase shifting as to the input signal of the sampling clock using the sampling data for each sampling clock; and a data generating unit for generating the data for each sampling clock using the sampling data, and selecting the data of the sampling clock having the phase closest to the phase of the input signal as the original data expressed with the input signal, based on the phase comparison data.

Abstract: A communication apparatus includes an antenna configured to generate a magnetic field corresponding to a signal of a first communication method; and a communication unit configured to perform communication via a communication medium by transmitting/receiving a signal of a second communication method by using a potential difference between the communication unit and a predetermined reference point, the communication unit including a transparent conductive film. The antenna and the communication unit are integrated with each other.

Abstract: A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data.

Abstract: There is provided an information processing apparatus including: a positioning unit acquiring positioning information on a latitude and longitude showing a position of the positioning unit; a transmission unit transmitting a time-series log, which includes the positioning information acquired by the positioning unit, to a server; a reception unit receiving an activity model showing an activity state of a user, the activity model being obtained by a learning process carried out by the server based on the time-series log; a recognition unit recognizing a present activity state of the user using the positioning information acquired by the positioning unit and the activity model received by the reception unit; and a prediction unit predicting behavior of the user from the present activity state of the user recognized by the recognition unit.

Abstract: A data processing apparatus includes: a learning section which obtains parameters of a probability model; a destination and stopover estimating section which estimates a destination node corresponding to a movement destination and a stopover node corresponding to a movement stopover; a current location estimating section which inputs the movement history data of the user within a predetermined time from a current time to the probability model using the parameters obtained by learning, and estimates a current location node corresponding to a current location of the user; a searching section which searches for a route to the destination from the current location of the user; and a calculating section which calculates an arrival probability and a time to reach the searched destination. The learning section includes a known or unknown determining section, a parameter updating section, a new model generating section, and a new model combining section.

Abstract: A data processing device including a learning section which expresses user movement history data obtained as learning data as a probability model which expresses activities of a user and learns parameters of the model; a destination and stopover estimation section which estimates a destination node and a stopover node from state nodes of the probability model; a current location estimation section which inputs the user movement history data in the probability model and estimates a current location node which is equivalent to the current location of the user; a searching section which searches for a route from the current location of the user to a destination using information on the estimated destination node and stopover node and the current location node and the probability model obtained by learning; and a calculating section which calculates an arrival probability and a necessary time to the searched destination.

Abstract: The data processing apparatus includes a state series generation unit and a computing unit. The state series generation unit generates a time series data of state nodes from a time series data of event. The state transition model of the event is expressed as a stochastic state transition model. The computing unit computes the parameters for the stochastic state transition model of events by computing parameters of time series data corresponding to an appearance frequency of the state nodes, the appearance frequency of transitions among the state nodes and the like.

Abstract: A learning apparatus includes: an interpolating section which interpolates data missing in time series data; an estimating section which estimates a Hidden Markov Model from the time series data; and a likelihood calculating section which calculates the likelihood of the estimated Hidden Markov Model. The likelihood calculating section calculates the likelihood for normal data which does not have missing data and the likelihood for interpolation data which is interpolated data in different conditions and calculates the likelihood of the Hidden Markov Model for the time series data in which the data is interpolated. The estimating section updates the Hidden Markov Model so that the likelihood calculated by the likelihood calculating section becomes high.

Abstract: An information processing device includes an acquisition unit acquiring a viewing log including information representing content of an operation for viewing content and time of the operation, a learning unit learning, based on the viewing log acquired by the acquisition unit, a viewing behavior model which is a stochastic state transition model representing a viewing behavior of a user, a recognition unit recognizing, using the viewing behavior model obtained through learning by the learning unit, a current viewing state of the user, a prediction unit predicting, using the viewing behavior model, the viewing behavior of the user after a predetermined period of time with the current viewing state of the user recognized by the recognition unit as a starting point, and a display control unit displaying information relating to content predicted to be viewed through the viewing behavior predicted by the prediction unit.

Abstract: A learning apparatus includes: a location acquiring section for acquiring time series data on locations of a user; a time acquiring section for acquiring time series data on times; and learning section for learning an activity model indicating an activity state of the user as a probabilistic state transition model, using the respective acquired time series data on the locations and the times as an input.