Abstract: Provided is a technique of preventing incorrect execution of a search function that is not intended by a user. A voice recognition apparatus includes an acquisition unit, an estimation unit, an execution frequency storage, and a controller. The acquisition unit acquires a voice. The estimation unit estimates a search function to be executed, by recognizing the voice acquired by the acquisition unit. The execution frequency storage stores the execution frequency of the search function. The controller refers to the execution frequency of an estimation search function, and then controls the execution of the estimation search function. The estimation search function is the search function estimated by the estimation unit.

Abstract: Provided is a technique of preventing incorrect execution of a search function that is not intended by a user. A voice recognition apparatus includes an acquisition unit, an estimation unit, an execution frequency storage, and a controller. The acquisition unit acquires a voice. The estimation unit estimates a search function to be executed, by recognizing the voice acquired by the acquisition unit. The execution frequency storage stores the execution frequency of the search function. The controller refers to the execution frequency of an estimation search function, and then controls the execution of the estimation search function. The estimation search function is the search function estimated by the estimation unit.

Abstract: An evaluation information collecting system compares a standard moving state estimated using environment information about the periphery of the current location of a mobile object with a current moving state estimated using mobile object information indicating a moving state of the mobile object, and in a case in which there is a difference between both states, acquires evaluation information pieces existing within a preset map range including the current location, and in a case in which the number of acquired evaluation information pieces is less than a threshold, decides to make an inquiry so as to collect evaluation information.

Abstract: A weather predicting method includes: selecting, from weather information related to areas and times and including temperature data, weather information sets related to multiple times over a fixed period concerning a first area containing a location where the air utilizing apparatus is placed; by solving, with selected weather information sets as input data, differential equations expressing the weather information based on analysis models for conducting weather simulations, generating a first narrow area weather information sets related to smaller second areas disposed within the first area; selecting a second narrow-area weather information set concerning a second area containing the location of the air utilizing apparatus from among generated first narrow-area weather information sets; and generating a temperature cumulative frequency distribution or a temperature exceedance probability distribution during the fixed period by using temperature data contained in the second narrow-area weather information se

Abstract: A system has a speech recognition unit 2 including a first recognition engine capable of recognizing predetermined word strings and a second recognition engine capable of recognizing parts of the word strings; and a deciding unit 4 that selects, in accordance with a difference between the durations of first and second recognition resulting candidates, which are recognition results of the speech recognition by the first and second recognition engines 2a and 2b, one or more probable recognition resulting candidates from the first and second recognition resulting candidates.

Abstract: A system has a speech recognition unit 2 including a first recognition engine capable of recognizing predetermined word strings and a second recognition engine capable of recognizing parts of the word strings; and a deciding unit 4 that selects, in accordance with a difference between the durations of first and second recognition resulting candidates, which are recognition results of the speech recognition by the first and second recognition engines 2a and 2b, one or more probable recognition resulting candidates from the first and second recognition resulting candidates.

Abstract: A weather predicting method is provided and includes: selecting, from weather information including temperature data and related to times and areas, a weather information related to an area containing a location where an air utilizing apparatus is placed and related to multiple times over a certain period; by solving, with weather information as input data, differential equations expressing weather information based on weather analysis models used for conducting weather simulations, generating first narrow-area weather information related to areas smaller than the area corresponding to the weather information; selecting a second narrow-area weather information concerning an area containing the location of the air utilizing apparatus from among the first narrow-area weather information; and generating a temperature cumulative distribution or a temperature exceedance probability distribution over a certain period by using temperature data contained in the second narrow-area weather information for calculating a

Abstract: A weather predicting method includes: selecting, from weather information related to areas and times and including temperature data, a weather information sets related to multiple times over a fixed period concerning a first area containing a location where the air utilizing apparatus is placed; by solving, with selected weather information sets as input data, differential equations expressing the weather information based on analysis models for conducting weather simulations, generating a first narrow-area weather information sets related to smaller second areas disposed within the first area; selecting a second narrow-area weather information set concerning a second area containing the location of the air utilizing apparatus from among generated first narrow-area weather information sets; and generating a temperature cumulative frequency distribution or a temperature exceedance probability distribution during the fixed period by using temperature data contained in the second narrow-area weather information