Clarion Co

Faurecia Clarion Electronics Co., Ltd.

Kazuaki Shima

Takeshi Honma

Yasunari Obuchi

Takeshi Homma

Tamaki Goto

A wireless power feeding device includes an attachment member having a socket to be electrically connected to a power supply and a fastener to be electrically connected to a ground, and a band having a socket pin to be inserted to the socket and a locking tool to be locked to the fastener, the band being attached to the attachment member and fixing a power receiving device to which power is to be wirelessly fed to the attachment member, wherein the socket pin has a power feeding electrode to be electrically connected to the power supply within the socket, and a ground connection sensing electrode to be electrically connected to the ground via the locking tool and the fastener, and the attachment member has a switch circuit electrically connecting the power supply to the power feeding electrode only when the ground connection sensing electrode is electrically connected to the ground.

Wireless power feeding device

Provided is a search result evaluation system connected with a search device and that evaluates search results of the search device, the search result evaluation system including: a search unit that transmits a search query to the search device; and an evaluation unit that, if the evaluation unit receives search results from the search device, determines whether specifications of the search device have been modified, by evaluating the received search results, wherein, if the evaluation unit determines that the specifications of the search device have been modified, the evaluation unit outputs an anomaly signal to notify a manager of the search result evaluation system that the specifications of the search device have been modified.

Search result evaluation system, navigation system and search result evaluation method

An intention estimation equipment includes: a first training data group; a second training data group; a model creation unit that creates first and second statistical models that estimates an intention of an input text; an error data extraction unit that extracts, from the second training data group, training data corresponding to a text, of which an intention estimation result based on the first and the second statistical models is correct and erroneous, respectively, as error data; an opposite data extraction unit that extracts, from the second training data group, training data that is a cause for an intention estimation result of the error data based on the second statistical model becoming erroneous as opposite data; and a data correction unit that performs correction of the second training data group so that an influence of the error data or of the opposite data on creation of the statistical model is changed.

Growing community of inventors

Saitama, Japan

Kazuaki Shima