Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for generating an avatar based on a weather condition. The program and method include determining a current location of a user device; retrieving a weather condition at the current location of the user device; automatically generating a weather-based avatar for a person associated with the user device, the weather-based avatar having a visual attribute corresponding to the weather condition; and, in response to a request from a requesting device, causing display on the requesting device of the weather-based avatar.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for generating an avatar based on a weather condition. The program and method include determining a current location of a user device; retrieving a weather condition at the current location of the user device; automatically generating a weather-based avatar for a person associated with the user device, the weather-based avatar having a visual attribute corresponding to the weather condition; and, in response to a request from a requesting device, causing display on the requesting device of the weather-based avatar.

The present invention provides for a cognitive system using an autonomous vehicle includes a plurality of sensors configured to obtain the weather forecast for a pollution detectable area; a cognitive input to determine the pollution detectable area having highest sensitivity of pollution; a light detecting and ranging system configured to spatially probe pollution levels distributed in the pollution detectable area; an evaluation system to evaluate the probed pollution levels in the pollution detectable area; and a recommendation system for recommending an action to be taken based on evaluation system results of the probed pollution levels in the pollution detectable area, wherein the pollution levels are detected based light emitted by the light detecting and ranging system.

The present invention provides for a cognitive system using an autonomous vehicle includes a plurality of sensors configured to obtain the weather forecast for a pollution detectable area; a cognitive input to determine the pollution detectable area having highest sensitivity of pollution; a light detecting and ranging system configured to spatially probe pollution levels distributed in the pollution detectable area; an evaluation system to evaluate the probed pollution levels in the pollution detectable area; and a recommendation system for recommending an action to be taken based on evaluation system results of the probed pollution levels in the pollution detectable area, wherein the pollution levels are detected based light emitted by the light detecting and ranging system.

A system includes first and second acquisition units that acquire first and second biological information of a target, and an estimation unit. The first acquisition unit includes at least one first sensor. The second acquisition unit includes at least one second sensor different from the at least one first sensor. The estimation unit estimates a thermal comfort of the target based on the first and second biological information. The estimation unit further estimates a first thermal comfort of the target based on the first biological information, and the thermal comfort of the target based on the first and second biological information. When the second acquisition unit does not acquire the second biological information, the estimation unit sets, as the thermal comfort of the target, the first thermal comfort that is corrected using previous thermal comfort of the target estimated by the estimation unit based on at least the second biological information previously acquired by the second acquisition unit.

Determining, broadcasting and using reference pressure data in a network of transmitters. Particular embodiments described herein include machines that select atmospheric data from weather stations within a transmitter network, use the selected atmospheric data to determine a reference atmospheric value, and transmit the reference atmospheric value from a transmitter to a mobile device for use in estimating an altitude of the mobile device. The atmospheric data may include any of reference pressures form the weather stations, measured temperatures from the weather stations, or reference temperatures from the weather stations. The reference atmospheric value may include a reference pressure value of a reference altitude, or a reference temperature value.

Determining, broadcasting and using reference pressure data in a network of transmitters. Particular embodiments described herein include machines that select atmospheric data from weather stations within a transmitter network, use the selected atmospheric data to determine a reference atmospheric value, and transmit the reference atmospheric value from a transmitter to a mobile device for use in estimating an altitude of the mobile device. The atmospheric data may include any of reference pressures form the weather stations, measured temperatures from the weather stations, or reference temperatures from the weather stations. The reference atmospheric value may include a reference pressure value of a reference altitude, or a reference temperature value.

Systems, methods and computer-readable media are provided for determining an effective altitude in relation to a moving sports object. In some examples, a method includes determining respective values for an air temperature, an air pressure, and a relative humidity of an environment of interest. Based on the determined respective values of the air temperature, the air pressure, and the relative humidity, an air density for the environment of interest is calculated to derive a first air density value. A second air density value is derived for a reference environment. An absolute value of a difference between the first and second air densities is compared against a preset comparison value and, based on the comparison being equal to or smaller than the preset comparison value, an output including an indicator of the effective altitude is generated.

Systems, methods and computer-readable media are provided for determining an effective altitude in relation to a moving sports object. In some examples, a method includes determining respective values for an air temperature, an air pressure, and a relative humidity of an environment of interest. Based on the determined respective values of the air temperature, the air pressure, and the relative humidity, an air density for the environment of interest is calculated to derive a first air density value. A second air density value is derived for a reference environment. An absolute value of a difference between the first and second air densities is compared against a preset comparison value and, based on the comparison being equal to or smaller than the preset comparison value, an output including an indicator of the effective altitude is generated.

Disclosed is a method for distinguishing sunny-rainy weather based on time division long-term evolution network, including the following steps: acquiring sunny-rainy feature by extracting communication measurement statistics of time division long-term evolution network base stations in a certain area; establishing a training set according to that observation result of multiple statistical periods, multiple base stations and multiple rain gauges in the region; establishing a sunny-rainy discrimination model combined with machine learning binary classification algorithm, so as to realize the identification of rainfall events covered by a single base station; calculating the reliability of rainfall events at specific locations based on the comprehensive judgment results of multiple base stations.