Nippon Telegraph and Telephone Corporation

Ntt Corporation

Showa Elec. Wire & Cable Co.

Takeshi Kurashima

Hiroyuki Toda

Masahiro Kojima

Shuhei Yamamoto

Masami Takahashi

Tatsushi Matsubayashi

Yasunori Akagi

Yusuke Tanaka

Takuya Nishimura

Yoshiaki Takimoto

Nobuo Sekiguchi

Yuya Hikima

Takami Terai

Maya Okawa

Yasutaka Hasegawa

Tadanori Nitta

Tsutomu Enari

Tomu Tominaga

An action-sequence generation unit of an information presentation device generates, based on an action log representing a target action of a user and an action history of the user, an action sequence representing a sequence of actions including the target action. A permission-level calculation unit calculates, based on the action log and a permission log, about the actions, a permission level representing a difference between a time period when the actions included in the action log were performed and a time period when the actions included in the permission log are permitted. An action specifying unit specifies, based on the action sequence and the permission level, out of the actions in the action sequence, an action, the permission level of which is equal to or larger than a threshold concerning the permission level, as a trigger action among the actions included in the action sequence.

Information presentation device, information acquisition device, information presentation method, information acquisition method and information presentation program

A learning device includes: a psychological state data preprocessing unit that calculates a duration of a psychological state from psychological state sequence data, and generates preprocessed psychological state sequence data including the psychological state and the duration; and a learning unit that learns a psychological state sequence prediction model, using input sequence data including behavior sequence data and the preprocessed psychological state sequence data, and correct sequence data that is preprocessed psychological state sequence data at a time later than the input sequence data.

Learning apparatus, mental state sequence prediction apparatus, learning method, mental state sequence prediction method and program

A hazard estimation unitestimates a likelihood of an occurrence of an event according to a hazard function, with respect to each of a plurality of pieces of time-series data that are a series of multiple pieces of data to which an event occurrence time relevant to the data is given in advance and that include time-series data in which the event did not occur and time-series data in which the event occurred. A parameter estimation unitestimates a parameter of the hazard function so as to optimize a likelihood function expressed by including the event occurrence time given with respect to each of the plurality of pieces of time-series data and the likelihood of the occurrence of the event estimated with respect to each of the plurality of pieces of time-series data.

Event occurrence time learning device, event occurrence time estimation device, event occurrence time learning method, event occurrence time estimation method, event occurrence time learning program, and event occurrence time estimation program

An intersection determination is made regarding whether or not a traffic route included in map information intersects a boundary between areas on a basis of the traffic route and an area shape between areas that are adjacent in the map information, the intersection determination being made for each pair of adjacent areas. On a basis of a weight determined for the boundary in a case where the intersection determination is made that no intersection exists, a movement cost graph expressing a movement cost for each area that accounts for the weight is constructed. A corrected shortest distance between areas is calculated on a basis of the movement cost graph. A human mobility between areas is estimated for each timestep, the timestep being the length of a predetermined time interval, according to a predetermined function for estimating the human mobility between areas on a basis of the corrected shortest distance between areas and a population of each of the areas at different predetermined times.

Moving number estimating device, moving number estimating method, and moving number estimating program

The present disclosure enables vehicle dispatch in consideration of individual differences of each orderer for a price and a required time by a computer executing an input procedure to input parameters for a distance matrix relating to a distance between a taxi and an orderer giving a taxi dispatch order, a travel distance for an order, an opportunity cost parameter for a taxi driver, and an acceptance probability function of the orderer, and a calculation procedure to calculate a price and a required time to be presented to the orderer by solving an optimization problem formulated using the parameters.

Calculation method, calculation apparatus and program

An observation streamlining apparatus includes one or more computers each including a memory and a processor configured to discriminate between an observation-necessary time slot and an observation-unnecessary time slot with an intervention measure including at least a time when a predetermined intervention is performed on a user as an input, the observation-necessary time slot indicating a time slot when a user's action or state needs to be observed, and the observation-unnecessary time slot indicating a time slot when the user's action or state does not need to be observed; and execute predetermined processing for observing the user's action or state when the observation-necessary time slot arrives.

Observation streamlining apparatus, observation streamlining method and program

A cable pulling apparatus includes a driving sheave on which is wound a tow line detachably connected to one end of a cable to be pulled; a pulling device disposed between the driving sheave and the end of the tow line and adapted to pull the tow line, a tension detector disposed between the driving sheave and the end of the cable and adapted to detect the pulling tension in the cable, and a control means for controlling the traction device in accordance with the tension detected by the tension detector such that, when the tension detected by the tension detector is below a predetermined limit, the pulling speed is controlled to impart a tension which is comparatively small but large enough to prevent any slip of the tow line on the periphery of the driving sheave, whereas, when the tension detected by the tension detector exceeds the predetermined level, the pulling speed is decreased such as to cause a slip of the tow line on the outer periphery of the driving sheave.

Cable pulling apparatus

Growing community of inventors

Tokyo, Japan

Takeshi Kurashima