Nippon Telegraph and Telephone Corporation

Yoshinari Shirai

Yasue Kishino

Takayuki Suyama

Shin Mizutani

Sanae Fujita

Futoshi Naya

Takashi Hattori

Masafumi Matsuda

Hiroshi Sawada

Tessei Kobayashi

Yutaka Yanagisawa

Takuma Otsuka

Kazuya Ohara

A heat trace region extraction device includes: a difference actual object image generation unitthat generates a difference actual object image which is an image of a difference between an actual object image which is an image of an actual object obtained by photographing a certain range with an actual object camera for photographing the actual object and a background actual object image which is an actual object image of a background of the certain range; a difference thermal image generation unitthat generates a difference thermal image which is an image of a difference between a thermal image which is an image of heat emitted by the actual object obtained by photographing the certain range with a thermal camera for photographing the heat emitted by the actual object and a background thermal image which is a thermal image of the background; and a heat trace region extraction unitthat extracts a heat trace region by removing a region of the actual object from the thermal image based on the difference actual object image and the difference thermal image.

Heat trace area extraction apparatus, heat trace area extraction method and program

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.

Sensor node, server apparatus, identification system, method and program

A speech output method carried out by a speech output system that includes a first terminal, a server, and a second terminal, wherein the first terminal carries out: a first label assignment step of assigning label data to character strings that are included in content, the label data representing attributes of speakers in a case where the character strings are to be read aloud by using synthetic speech; and a transmission step of transmitting the label data to the server, the server carries out a saving step of saving the label data transmitted from the first terminal, in a database, in association with content identification information that identifies the content, and the second terminal carries out: an acquisition step of acquiring label data that corresponds to the content identification information regarding the content, from the server.

Voice output method, voice output system and program

A computer executes a display procedure of displaying a list of character strings registered in advance in response to a predetermined operation for data forming a part of a web page; and a storage procedure of storing a character string selected by a user from the list into a storage device in association with the data, to thereby achieve more efficient labeling of data.

Labeling support method, labeling support apparatus and program

An index value assignment device comprises: a selection unit that prompts a user to select, from a sentence, one or more words that the user feels to have a same degree of a predetermined index value with respect to one or more first words for which the index value is known; a validation unit that validates the selection result by the user on a basis of the index value of a second word for which the index value is known from among the one or more words included in the selection result; and a determination unit that determines the index value with respect to a third word for which the index value is unknown from among the one or more words selected by the user, on a basis of the index value of the first word according to the selection result for which the selection result is determined to be valid. Consequently, the efficiency of assigning word familiarity is increased.

Index value giving apparatus, index value giving method and program

Provided is a learning assistance technology that uses a learning history to check the level of comprehension by a learner in relation to a learning target. Included are a score calculation unit that uses a first occurrence ratio α(n) of a learning target Q(n) calculated using an occurrence frequency R(n) of the learning target Q(n) in a document to be used as a basis for creating a confirmation question and a second occurrence ratio β(n) of the learning target Q(n) weighted by viewing time and calculated using the occurrence frequency R(n) of the learning target Q(n) and a viewing time for each page of the document included in a learning history to calculate one of the difference between the first occurrence ratio α(n) and the second occurrence ratio β(n), the absolute value of the difference, or the ratio as a score S(n) of the learning target Q(n), and a query generation unit that treats the learning target Q(n) corresponding to the n for which the score S(n) is maximized as a query, that is, the learning target with which to create a confirmation question for a learner.

Learning support apparatus, learning support method, and program

Provided is a sensor network capable of acquiring, from a data center, learning data composed of a pair of sensor data (input) and a classification label (output) necessary for adding/changing a classification label for updating a classifier while reducing the volume of communication between a sensor and the center. One aspect of the present invention relates to a sensor network, including one or more sensor nodes and a data center. The sensor node includes: an encoding unit for encoding sensor data by an encoder part of an autoencoder; and a transmission unit for transmitting the encoded data. The data center includes: a reception unit for receiving data encoded from sensor data by the encoder part of the autoencoder; a decoding unit for decoding the encoded data by a decoder part of the autoencoder; and a storage unit for storing the decoded data therein.

Growing community of inventors

Tokyo, Japan

Yoshinari Shirai