A display control system includes a display, a detector, and a controller. The display is configured to display an image. The detector is configured to detect wind. The controller is configured to, in response to the detector detecting wind, control the image based on strength of the detected wind.

The present disclosure relates to an apparatus embodied in order to correct efficiently changing of measured temperature value in a temperature sensor according to influence of irradiance. A radiosonde related an exemplary embodiment of the present disclosure includes a first temperature sensor; a second temperature sensor having higher emission ratio than the first temperature sensor; and a measuring unit in order to calculate corrected temperature value, but the radiosonde and the third temperature sensor are installed in a chamber before flying of the radiosonde, a first temperature change detected by the first temperature sensor by output light in a sunlight simulator and a second temperature change detected by the second temperature sensor are induces, compensation factors may be derived using the first temperature change, the second temperature change, and temperature value measured by the third temperature sensor.

The present disclosure relates to an apparatus embodied in order to correct efficiently changing of measured temperature value in a temperature sensor according to influence of irradiance. A radiosonde related an exemplary embodiment of the present disclosure includes a first temperature sensor; a second temperature sensor having higher emission ratio than the first temperature sensor; and a measuring unit in order to calculate corrected temperature value, but the radiosonde and the third temperature sensor are installed in a chamber before flying of the radiosonde, a first temperature change detected by the first temperature sensor by output light in a sunlight simulator and a second temperature change detected by the second temperature sensor are induces, compensation factors may be derived using the first temperature change, the second temperature change, and temperature value measured by the third temperature sensor.

Apparatuses, systems and methods are provided for performing insurance property loss mitigation processes based on an event driven probable roof loss confidence score based on a particular weather event, the event driven probable roof loss confidence score associated with a roof of a building. An example method may include receiving a base-line probable roof loss confidence score for the building. The method may further include receiving weather data associated with the particular weather event, that occurred in the geographic area of the building, and hail data associated with the particular weather event. The method also may include estimating at least one attribute of the one or more attributes, and generating the event driven probable roof loss confidence score based on the base-line probable roof loss confidence score, the weather data, the hail data, and the at least one estimated attribute.

Described herein is environmental sensors, sensor units, sensor systems and/or sensing methods. In particular, an agricultural or horticultural environment multi-sensor unit comprising a plurality of environmental sensors, including at least: an incident light sensor, a temperature sensor, a carbon dioxide sensor and a relative humidity sensor. The sensor unit may also comprise a wireless communication interface, the multi-sensor unit being configured to transmit data from the environmental sensors via the wireless communications interface.

A computer-implemented method may include receiving, by a computing system on an autonomous vehicle, local weather data and routing data of the autonomous vehicle, the autonomous vehicle including a sensor platform mounted on the autonomous vehicle. The method may include based on the local weather data and the routing data, predicting, by the computing system using a thermal model, a thermal loading and a temperature of a component(s) of a sensor platform at one or more future times, the thermal loading and the temperature being during an operation of the autonomous vehicle. The method may include sending an overheating warning to a controller of the autonomous vehicle based on a determination that the thermal loading or the temperature of the component(s) exceeds a threshold. The method may include reporting a degraded state of the autonomous vehicle to park prior to a predicted overheating of the component(s).

A computer-implemented method may include receiving, by a computing system on an autonomous vehicle, local weather data and routing data of the autonomous vehicle, the autonomous vehicle including a sensor platform mounted on the autonomous vehicle. The method may include based on the local weather data and the routing data, predicting, by the computing system using a thermal model, a thermal loading and a temperature of a component(s) of a sensor platform at one or more future times, the thermal loading and the temperature being during an operation of the autonomous vehicle. The method may include sending an overheating warning to a controller of the autonomous vehicle based on a determination that the thermal loading or the temperature of the component(s) exceeds a threshold. The method may include reporting a degraded state of the autonomous vehicle to park prior to a predicted overheating of the component(s).

A method and system for multi-trigger parametric data management and associated transactions is provided. The parametric triggers can include measured wind speed occurring at predetermined geographic locations, calculated wind speed at a predetermined geographic locations, reported storm track and wind speed/category at a predetermined distance from a reference location and/or measured tide levels occurring at predetermined geographic locations. The multiple triggers are evaluated by the disclosed process to evaluate whether indicated threshold levels are exceeded such that conditions for full or fractional payout are achieved

A method and system for multi-trigger parametric data management and associated transactions is provided. The parametric triggers can include measured wind speed occurring at predetermined geographic locations, calculated wind speed at a predetermined geographic locations, reported storm track and wind speed/category at a predetermined distance from a reference location and/or measured tide levels occurring at predetermined geographic locations. The multiple triggers are evaluated by the disclosed process to evaluate whether indicated threshold levels are exceeded such that conditions for full or fractional payout are achieved

This disclosure relates to precision agriculture that relies on monitoring micro-climatic conditions of a farm to make accurate disease forecasts for better crop protection and improve yield efficiency. Conventional systems face challenge in managing energy and bandwidth of transmission considering the humongous volume of data generated in a field through IoT based sensors. The present disclosure provides energy-efficient adaptive parameter sampling from the field by optimally configuring the parameter sampling rate thereby maximizing energy-efficiency. This helps reduce unnecessary traffic to a cloud while extending network lifetime.