Patents by Inventor Eiichi SUNAGAWA
Eiichi SUNAGAWA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Patent number: 11675755Abstract: According to one embodiment, an information management device includes an individual information manager configured to allocate a second identifier to a second individual obtained by performing a first operation on a first individual to which a first identifier is allocated; and a data generator configured to generate first data including the first identifier, the first operation, and the second identifier.Type: GrantFiled: February 26, 2021Date of Patent: June 13, 2023Assignee: KABUSHIKI KAISHA TOSHIBAInventors: Gaku Ishii, Eiichi Sunagawa
-
Patent number: 11274848Abstract: According to one embodiment, a terminal device used by a user in an indoor space in which an air conditioner is installed includes a processor. The processor is configured to input position information indicating a position of the user in the indoor space, input first bodily sensation information indicating an air conditioning state felt by the user, and output the input position information and the input first bodily sensation information to an external device.Type: GrantFiled: March 13, 2019Date of Patent: March 15, 2022Assignee: KABUSHIKI KAISHA TOSHIBAInventors: Kenichi Fujiwara, Tomoshi Otsuki, Miho Sako, Takahiro Yamamoto, Eiichi Sunagawa, Shusaku Tsuge
-
Publication number: 20210294827Abstract: One embodiment of the present invention provides an information processing apparatus that transforms a text into data indicating entities and association among entities, compares the transformed data, and thereby enables texts having a relationship to be detected. An information processing apparatus as one embodiment of the present invention includes: a transformer; and a detector. The transformer is configured to transform a text into entity data indicating entities and association among entities. The detector is configured to detect a second text having a relationship with a first text by comparing first entity data transformed from the first text with one or more second entity data transformed from one or more second texts.Type: ApplicationFiled: September 9, 2020Publication date: September 23, 2021Applicant: KABUSHIKI KAISHA TOSHIBAInventors: Eiichi SUNAGAWA, Shinichi NAGANO
-
Publication number: 20210182256Abstract: According to one embodiment, an information management device includes an individual information manager configured to allocate a second identifier to a second individual obtained by performing a first operation on a first individual to which a first identifier is allocated; and a data generator configured to generate first data including the first identifier, the first operation, and the second identifier.Type: ApplicationFiled: February 26, 2021Publication date: June 17, 2021Applicant: KABUSHIKI KAISHA TOSHIBAInventors: Gaku ISHII, Eiichi SUNAGAWA
-
Patent number: 10754906Abstract: According to one embodiment, an information processing apparatus includes a preference information obtainer that obtains preference information indicating preferences of a target user to which recommendation is to be made, the preferences ranging over a plurality of genres. The information processing apparatus includes a recommendation item determiner that determines, using the preference information of the target user and recommendation candidate information about a plurality of recommendation candidates ranging over a plurality of genres, a recommendation item to be recommended to the target user from the plurality of recommendation candidates, the recommendation candidate information being stored in an accessible storage apparatus.Type: GrantFiled: September 16, 2015Date of Patent: August 25, 2020Assignee: Kabushiki Kaisha ToshibaInventors: Masahiro Sakai, Myungsook Ko, Eiichi Sunagawa, Takahiro Nishizawa, Tetsuya Gotou
-
Patent number: 10635897Abstract: A document understanding support apparatus as one embodiment of the present invention includes a word extraction condition learning device, a word extractor, a word relationship extraction condition learning device, a word relationship extractor, and an output device. The word extraction condition learning device creates a word extraction condition for extracting words from a target electronic document by machine-learning based on feature values assigned to respective words. The word extractor extracts words satisfying the word extraction condition. The word relationship extraction condition learning device creates a word relationship extraction condition for extracting word relationships from the target electronic document by machine-learning based on feature values with respect to extraction target word relationships. The word relationship extractor extracts a word relationship satisfying the word relationship extraction condition.Type: GrantFiled: April 4, 2018Date of Patent: April 28, 2020Assignee: Kabushiki Kaisha ToshibaInventors: Eiichi Sunagawa, Shinichi Nagano
-
Patent number: 10592584Abstract: An information processing apparatus has a model construction unit that constructs a model represented using a plurality of variables corresponding to a plurality of classes, an evaluated value calculation unit that calculates an evaluated value of the model constructed by the model construction unit, a correlation specification unit that specifies a correlation between some variables among the plurality of variables based on the calculated evaluated value, a variable processing determination unit that determines whether to perform at least one of creation, integration, and stratification of at least some variables among the plurality of variables based on the correlation specified by the correlation specification unit, and a variable processing unit that performs at least one of creation processing, integration processing, and stratification processing of the variables when the at least one of the creation, the integration, and the stratification of the variables is determined to be performed.Type: GrantFiled: September 16, 2016Date of Patent: March 17, 2020Assignee: Kabushiki Kaisha ToshibaInventors: Myungsook Ko, Eiichi Sunagawa, Ken Ueno
-
Publication number: 20200072487Abstract: According to one embodiment, a terminal device used by a user in an indoor space in which an air conditioner is installed includes a processor. The processor is configured to input position information indicating a position of the user in the indoor space, input first bodily sensation information indicating an air conditioning state felt by the user, and output the input position information and the input first bodily sensation information to an external device.Type: ApplicationFiled: March 13, 2019Publication date: March 5, 2020Applicant: KABUSHIKI KAISHA TOSHIBAInventors: Kenichi FUJIWARA, Tomoshi Otsuki, Miho Sako, Takahiro Yamamoto, Eiichi Sunagawa, Shusaku Tsuge
-
Publication number: 20190122042Abstract: A document understanding support apparatus as one embodiment of the present invention includes a word extraction condition learning device, a word extractor, a word relationship extraction condition learning device, a word relationship extractor, and an output device. The word extraction condition learning device creates a word extraction condition for extracting words from a target electronic document by machine-learning based on feature values assigned to respective words. The word extractor extracts words satisfying the word extraction condition. The word relationship extraction condition learning device creates a word relationship extraction condition for extracting word relationships from the target electronic document by machine-learning based on feature values with respect to extraction target word relationships. The word relationship extractor extracts a word relationship satisfying the word relationship extraction condition.Type: ApplicationFiled: April 4, 2018Publication date: April 25, 2019Applicant: Kabushiki Kaisha ToshibaInventors: Eiichi Sunagawa, Shinichi Nagano
-
Publication number: 20170270124Abstract: A data management device has a knowledge graph data generator to generate knowledge graph data by relating spatial data concerning space within a building in which a maintenance facility is installed, facility data concerning the maintenance facility, and measurement data obtained by measuring an operational status of the maintenance facility in accordance with ontology transformation rules, a search information input unit to input a search keyword including a character string representing an incident, a data search unit to search the knowledge graph data based on the search keyword, and a search result output unit to relate and output the spatial data, facility data, and measurement data matching with the search keyword, based on search results obtained by the data search unit.Type: ApplicationFiled: September 16, 2016Publication date: September 21, 2017Inventors: Shinichi NAGANO, Mamiko Abe, Eiichi Sunagawa, Mitsunobu Yoshida
-
Publication number: 20170270075Abstract: An information processing apparatus has a model construction unit that constructs a model represented using a plurality of variables corresponding to a plurality of classes, an evaluated value calculation unit that calculates an evaluated value of the model constructed by the model construction unit, a correlation specification unit that specifies a correlation between some variables among the plurality of variables based on the calculated evaluated value, a variable processing determination unit that determines whether to perform at least one of creation, integration, and stratification of at least some variables among the plurality of variables based on the correlation specified by the correlation specification unit, and a variable processing unit that performs at least one of creation processing, integration processing, and stratification processing of the variables when the at least one of the creation, the integration, and the stratification of the variables is determined to be performed.Type: ApplicationFiled: September 16, 2016Publication date: September 21, 2017Inventors: Myungsook KO, Eiichi SUNAGAWA, Ken UENO
-
Publication number: 20160085816Abstract: According to one embodiment, an information processing apparatus includes a preference information obtainer that obtains preference information indicating preferences of a target user to which recommendation is to be made, the preferences ranging over a plurality of genres. The information processing apparatus includes a recommendation item determiner that determines, using the preference information of the target user and recommendation candidate information about a plurality of recommendation candidates ranging over a plurality of genres, a recommendation item to be recommended to the target user from the plurality of recommendation candidates, the recommendation candidate information being stored in an accessible storage apparatus.Type: ApplicationFiled: September 16, 2015Publication date: March 24, 2016Inventors: Masahiro SAKAI, Myungsook KO, Eiichi SUNAGAWA, Takahiro NISHIZAWA, Tetsuya GOTOU
-
Publication number: 20160078476Abstract: According to one embodiment, an information processing apparatus includes a data collector which collects a plurality of pieces of data. The information processing apparatus includes a discontinuation determiner which compares, for each data or the whole processing of collecting the plurality of pieces of data, an invested cost that is already invested for data collection and an allowable investment cost that is an upper limit of a cost allowed to be invested for the data collection and, according to a comparison result, determines to discontinue the data collection. The information processing apparatus also includes a content determiner which, when the discontinuation determiner determines to discontinue the data collection, uses the data collected by the data collector up to a point when the discontinuation is determined and determines information relevant to a content to be distributed.Type: ApplicationFiled: September 11, 2015Publication date: March 17, 2016Inventor: Eiichi SUNAGAWA