Abstract: A link combination extraction unit (24) acquires all the combination of link candidates from among link candidates having an angle with respect to a movement direction of a pedestrian equal to or smaller than a threshold value among link candidates for n walking route networks. The link combination extraction unit (24) acquires all the combinations of link candidates that do not intersect with each other among the acquired combinations of link candidates. The link combination extraction unit (24) acquires all the combinations of link candidates that do not connect to each other among the acquired combinations of link candidates. The link combination extraction unit (24) acquires all the combinations of link candidates that are not on the same straight line among the acquired combinations of link candidates. A candidate determination unit (26) acquires a combination of link candidates closest to position information of a pedestrian when there are a plurality of acquired link candidates.

Abstract: Time and effort to generate an electric field map to realize high-accuracy positioning is reduced.

Abstract: A switching determination device includes: an input unit configured to receive an input of time-series data obtained by continuously receiving radio signals; a continuity counting unit configured to compare a value of the input time-series data at a first time count with a value of the input time-series data at a second time count just before the first time count, and increment a continuity counter value in a case in which the value of the input time-series data at the first time count and the value of the input time-series data at the second time count conform to each other, or reset the continuity counter value in a case in which the value of the input time-series data at the first time count and the value of the input time-series data at the second time count do not conform to each other; and a retention value output unit configured to set a value of the input time-series data at a time count at which the continuity counter value becomes equal to or greater than a threshold value as a retention value and o

Abstract: A link combination extraction unit (24) acquires all the combination of link candidates from among link candidates having an angle with respect to a movement direction of a pedestrian equal to or smaller than a threshold value among link candidates for n walking route networks. The link combination extraction unit (24) acquires all the combinations of link candidates that do not intersect with each other among the acquired combinations of link candidates. The link combination extraction unit (24) acquires all the combinations of link candidates that do not connect to each other among the acquired combinations of link candidates. The link combination extraction unit (24) acquires all the combinations of link candidates that are not on the same straight line among the acquired combinations of link candidates. A candidate determination unit (26) acquires a combination of link candidates closest to position information of a pedestrian when there are a plurality of acquired link candidates.

Abstract: To accurately determine walking routes with roadways interposed therebetween. An environmental value calculation unit (18) calculates, based on a plurality of satellite signals from a plurality of satellites received by a positioning apparatus held by a pedestrian of object, an environmental value indicating whether a reception environment of a satellite signal of the plurality of satellite signals is good or bad for a left half side and a right half side with reference to a traveling direction of the pedestrian, and a route determination unit (20) compares an environmental value of the left half side calculated by the environmental value calculation unit (18) with an environmental value of the right half side calculated by the environmental value calculation unit (18) to determine a walking route of the pedestrian.

Abstract: Time and effort to generate an electric field map to realize high-accuracy positioning is reduced.

Abstract: The present invention provides a weather forecast apparatus and a method for the same, to systematically classify a measured radar image based on results of pattern classification of past radar images so as to use the classified radar image. In the present invention, rapid forecasting is possible by making the FNN model previously learn based on data of each class (and indexes for forecast times) obtained by classification of past weather data for every resembling pattern. In addition, a calculation procedure for improving the classifying ability of patterns can be established by varying the procedure for calculating feature quantities with regard to the radar image by using the learning of the TNN model. Furthermore, systematic classification of a pre-learned image can be realized by performing self organization with regard to compound feature quantities extracted from a radar image in the PNN model, a typical example of which is a competitive learning model.