Patent classifications
G01W1/04
METHOD AND APPARATUS FOR VERIFYING REDUCED VISIBILITY EVENT WARNINGS
A method, apparatus and computer program product for determining a reduced visibility event warning are described herein. In the context of a method, a location corresponding with a reduced visibility event warning may be identified. Information regarding visibility at one or more stationary positions based upon the location of the reduced visibility event warning may be received from one or more remote devices (e.g., sensing apparatuses). The method may determine a reduced visibility event warning confidence for the location corresponding with a reduced visibility event warning based upon the information regarding visibility. The method may cause the reduced visibility event warning to be published in an instance in which the reduced visibility event warning confidence satisfies a confidence threshold.
INFORMATION PROCESSING SYSTEM, PROGRAM, AND INFORMATION PROCESSING METHOD
An information processing system is equipped with at least one vehicle and a server that can communicate with the at least one vehicle. The vehicle acquires an image obtained by imaging a landscape outside the vehicle, a humidity outside the vehicle, and an imaging position of the image. The vehicle or the server generates floating substance information on an atmospheric floating substance around the vehicle, based on the image and the humidity. The server stores at least one pair of the floating substance information and the imaging position corresponding thereto, and provides information to a client through the use of the at least one pair of the stored floating substance information and the stored imaging position corresponding thereto.
INFORMATION PROCESSING SYSTEM, PROGRAM, AND INFORMATION PROCESSING METHOD
An information processing system is equipped with at least one vehicle and a server that can communicate with the at least one vehicle. The vehicle acquires an image obtained by imaging a landscape outside the vehicle, a humidity outside the vehicle, and an imaging position of the image. The vehicle or the server generates floating substance information on an atmospheric floating substance around the vehicle, based on the image and the humidity. The server stores at least one pair of the floating substance information and the imaging position corresponding thereto, and provides information to a client through the use of the at least one pair of the stored floating substance information and the stored imaging position corresponding thereto.
Electric aircraft with flight trajectory
An electric aircraft with flight trajectory planning. The electric aircraft includes a sensor. The sensor is coupled to the electric aircraft. The sensor is configured to detect a plurality of weather measurements. The electric aircraft includes a processor. The processor is communicatively connected to the sensor. The processor is configured to receive, from the sensor, a weather measurement of the plurality of weather measurements. The processor is configured to receive, from a user, a destination datum and a desired altitude datum. The processor is configured to determine an optimal trajectory of the electric aircraft as a function of the destination datum, weather datum, and altitude datum.
Electric aircraft with flight trajectory
An electric aircraft with flight trajectory planning. The electric aircraft includes a sensor. The sensor is coupled to the electric aircraft. The sensor is configured to detect a plurality of weather measurements. The electric aircraft includes a processor. The processor is communicatively connected to the sensor. The processor is configured to receive, from the sensor, a weather measurement of the plurality of weather measurements. The processor is configured to receive, from a user, a destination datum and a desired altitude datum. The processor is configured to determine an optimal trajectory of the electric aircraft as a function of the destination datum, weather datum, and altitude datum.
SEASONAL AFFECTIVE DISORDER DETERMINATION
Techniques are disclosed for detecting when a patient is experiencing seasonal affective disorder (SAD). An example computer-implemented method includes determining a status of one or more health metrics for a patient based on sensor data collected from at least one biometric device. The method also includes determining potential sun exposure for a patient based on weather metrics corresponding in time with the health metrics. Additionally, the method includes, when a decline in the status of the health metrics for the patient correlates with declining potential sun exposure, providing an alert indicative that patient is experiencing SAD.
AUTOMATICALLY CAPTURING WEATHER DATA DURING ENGINEERING TESTS
A computer-implemented system and method to automatically capture weather data during testing. The method includes receiving a selected test to run, wherein the test is associated with a Test Case Execution Record (TCER). The method further includes running the test. The method also includes determining, in response to starting the test, a set of weather data. The method includes storing the set of weather data in a first database, wherein the stored weather data is unalterable. The method further includes receiving a set of results for the test. The method also includes storing the set of results in a second database. Further aspects of the present disclosure are directed to systems and computer program products containing functionality consistent with the method described above.
AUTOMATICALLY CAPTURING WEATHER DATA DURING ENGINEERING TESTS
A computer-implemented system and method to automatically capture weather data during testing. The method includes receiving a selected test to run, wherein the test is associated with a Test Case Execution Record (TCER). The method further includes running the test. The method also includes determining, in response to starting the test, a set of weather data. The method includes storing the set of weather data in a first database, wherein the stored weather data is unalterable. The method further includes receiving a set of results for the test. The method also includes storing the set of results in a second database. Further aspects of the present disclosure are directed to systems and computer program products containing functionality consistent with the method described above.
Method and server for supporting aviation safety
Disclosed in present invention are a method for supporting aviation safety and a server for same, the method comprising the steps of: (a) the server for supporting aviation safety obtaining observation data measured from each of a plurality of weather observation apparatuses located in a specific zone; and (b) the server for supporting aviation safety predicting the weather state in the specific zone at a certain time after the current time by analyzing a generated map by referencing a machine learning database.
DISTRIBUTED WEATHER MONITORING SYSTEM
A distributed weather system includes a storage, a plurality of wireless weather stations, a server, and an interface. Each of the plurality of wireless weather stations is associated with a user and has a battery, a location sensor generating location information, an anemometer generating apparent wind speed, a transmitter transmitting the location information with the apparent wind speed to a network at periodic intervals, and a receiver receiving control commands that include a length of the periodic intervals. The server receives the location information with the apparent wind speed and stores them in the storage. The interface is accessible by a mobile computer, and receives the control commands from a user and sends them to the receiver of the wireless weather station associated with the user. The interface displays a true wind speed for each of the plurality of wireless weather stations, which is calculated using the apparent wind speed, the location information, and historical location information.