Abstract: A sensor node connected to a server device through a communication network includes an acquisition unit configured to acquire sensor data from a sensor included in the sensor node, an identification unit configured to classify the sensor data into a plurality of classes to identify occurrence of a predetermined event based on the sensor data and an identification model created by the server device in advance, a certainty degree calculation unit configured to calculate a degree of certainty of the sensor data as an indicator representing uncertainty of a result of the identification based on the result of the identification, and a transmission unit configured to select sensor data having a minimum degree of certainty from a transmission buffer in which the sensor data and the degree of certainty of the sensor data are stored in association with each other, and transmit the selected sensor data to the server device.

Abstract: The present disclosure relates to an apparatus and methods of estimating a traffic volume of moving objects. In particular, the present disclosure estimates the traffic volume based on amounts of traffic volume of the moving objects observed at observation points based on a routing matrix and a visitor matrix. The routing matrix indicates whether moving objects that pass through specific waypoints are to be observed at an observation point. The visitor matrix indicates whether a moving object departing or arriving at the observation point. The present disclosure enables estimating a traffic volume of moving objects on various routes based on observed data with errors in data and varying lengths in observation periods.

Abstract: A sensor node connected to a server device through a communication network includes an acquisition unit configured to acquire sensor data from a sensor included in the sensor node, an identification unit configured to classify the sensor data into a plurality of classes to identify occurrence of a predetermined event based on the sensor data and an identification model created by the server device in advance, a certainty degree calculation unit configured to calculate a degree of certainty of the sensor data as an indicator representing uncertainty of a result of the identification based on the result of the identification, and a transmission unit configured to select sensor data having a minimum degree of certainty from a transmission buffer in which the sensor data and the degree of certainty of the sensor data are stored in association with each other, and transmit the selected sensor data to the server device.

Abstract: An estimation apparatus includes an input unit configured to input data related to a plurality of optimization problems, and an estimation unit configured to estimate a parameter of a function model that models a function to be optimized in each of the plurality of optimization problems. Additionally, the optimization apparatus includes an input unit configured to input a function model that models a function to be optimized in each of a plurality of optimization problems, and an optimization unit configured to optimize a target function by repeatedly evaluating the target function to be optimized in an optimization problem different from each of the plurality of optimization problems, using the function model.

Abstract: The present disclosure relates to an apparatus and methods of estimating a traffic volume of moving objects. In particular, the present disclosure estimates the traffic volume based on amounts of traffic volume of the moving objects observed at observation points based on a routing matrix and a visitor matrix. The routing matrix indicates whether moving objects that pass through specific waypoints are to be observed at an observation point. The visitor matrix indicates whether a moving object departing or arriving at the observation point. The present disclosure enables estimating a traffic volume of moving objects on various routes based on observed data with errors in data and varying lengths in observation periods.

Abstract: A musical score position estimating device includes an audio signal acquiring unit, a musical score information acquiring unit acquiring musical score information corresponding to an audio signal acquired by the audio signal acquiring unit, an audio signal feature extracting unit extracting a feature amount of the audio signal, a musical score feature extracting unit extracting a feature amount of the musical score information, a beat position estimating unit estimating a beat position of the audio signal, and a matching unit matching the feature amount of the audio signal with the feature amount of the musical score information using the estimated beat position to estimate a position of a portion in the musical score information corresponding to the audio signal.

Abstract: A robot may include a driving control unit configured to control a driving of a movable unit that is connected movably to a body unit, a voice generating unit configured to generate a voice, and a voice output unit configured to output the voice, which has been generated by the voice generating unit. The voice generating unit may correct the voice, which is generated, based on a bearing of the movable unit, which is controlled by the driving control unit, to the body unit.

Abstract: A musical score position estimating apparatus includes a sound feature quantity generating unit configured to generate a feature quantity of an input sound signal, and, a score position estimating unit configured to calculate a weight coefficient based on the feature quantity of the sound signal and a feature quantity of musical score information and estimates a musical score position using a virtual musical score position and a virtual tempo corresponding to the weight coefficient.

Abstract: In accordance with one aspect of the invention, the sound source position determining system comprises a detector (101) for detecting sound data, and a computing unit (103) for computing MUSIC spectrum for each direction and time. The system includes a state transition model that describes state and transition of the state according to existence or absence of sound sources in each direction, and a model parameter estimating unit (105) that determines an observation model describing MUSIC spectrum observed in a state where one or more sound sources exist and in a state where no sound sources exist and estimates posterior distribution of model parameters of the observation model and the state transition model based on temporal data of MUSIC spectrum.

Abstract: A robot may include a driving control unit configured to control a driving of a movable unit that is connected movably to a body unit, a voice generating unit configured to generate a voice, and a voice output unit configured to output the voice, which has been generated by the voice generating unit. The voice generating unit may correct the voice, which is generated, based on a bearing of the movable unit, which is controlled by the driving control unit, to the body unit.

Abstract: A musical score position estimating apparatus includes a sound feature quantity generating unit configured to generate a feature quantity of an input sound signal, and, a score position estimating unit configured to calculate a weight coefficient based on the feature quantity of the sound signal and a feature quantity of musical score information and estimates a musical score position using a virtual musical score position and a virtual tempo corresponding to the weight coefficient.

Abstract: A musical score position estimating device includes an audio signal acquiring unit, a musical score information acquiring unit acquiring musical score information corresponding to an audio signal acquired by the audio signal acquiring unit, an audio signal feature extracting unit extracting a feature amount of the audio signal, a musical score feature extracting unit extracting a feature amount of the musical score information, a beat position estimating unit estimating a beat position of the audio signal, and a matching unit matching the feature amount of the audio signal with the feature amount of the musical score information using the estimated beat position to estimate a position of a portion in the musical score information corresponding to the audio signal.