A mobility movement information acquiring method has: acquiring an observed velocity value of a mobility according to a first interval; storing the observed velocity value and corresponding time information so as to relate each other; and acquiring an acceleration value in a travelling direction by inputting the observed velocity value into a state-space model in which: displacement per unit time of a state velocity value is the acceleration value in the travelling direction, the observed velocity value is a sum of the state velocity value and a value following a first distribution, and displacement per the unit time of the acceleration value in the travelling direction follows a second distribution.

A system for collecting atmospheric data includes a frame and sensors to include a sonic anemometer for measuring wind data samples in each of three dimensions, and motion sensors for measuring angles of roll motion, pitch motion and yaw motion of the sonic anemometer. A tether is coupled to a cable payout/retriever, a lighter-than-air balloon, and the frame such that the payout/retriever and balloon control movement of the frame through a region of an atmosphere. A processor receives the wind data samples and the sensed angles, and maps the wind data samples to a fixed local horizontal reference plane of the sonic anemometer that is normal to a local gravitational vector at the region of the atmosphere to generate samples of compensated data. The processor averages samples of compensated data to generate averaged compensated data that is indicative of wind speed and wind direction in the region of the atmosphere.

A system for collecting atmospheric data includes a frame and sensors to include a sonic anemometer for measuring wind data samples in each of three dimensions, and motion sensors for measuring angles of roll motion, pitch motion and yaw motion of the sonic anemometer. A tether is coupled to a cable payout/retriever, a lighter-than-air balloon, and the frame such that the payout/retriever and balloon control movement of the frame through a region of an atmosphere. A processor receives the wind data samples and the sensed angles, and maps the wind data samples to a fixed local horizontal reference plane of the sonic anemometer that is normal to a local gravitational vector at the region of the atmosphere to generate samples of compensated data. The processor averages samples of compensated data to generate averaged compensated data that is indicative of wind speed and wind direction in the region of the atmosphere.

An angle of attack (AOA) sensor system is disclosed. The system comprises a plurality of pitot tube ports in a housing. The pitot tube ports include a set of positive angle pitot ports, a set of negative angle pitot ports, and a central pitot port. The central pitot port is aligned with a central chord line of a wing of the aircraft. A plurality of pitot tubes communicate with the plurality of pitot tube ports (at a first end), and with a plurality of pressure sensors (at a second end). A microcontroller is configured to generate a respective current AOA value for each pressure sensor based on a respective ram pressure measurement generated by each of the pressure sensors, and generate an AOA measurement of the aircraft by comparing each respective current AOA value to respective calibrated AOA values stored in a memory.

An aircraft angle of attack and sideslip angle indicator includes a display responsive to angle of attack and sideslip angle measurements from an angle of attack sensor and a sideslip angle sensor on an aircraft. The display depicts angle of attack along a first (preferably vertical) axis, and sideslip angle along a second (preferably horizontal) axis, with the axes intersecting at a display datum which represents acceptable angle of attack and sideslip angle values from the aircraft. The display depicts the aircraft's current angle of attack and sideslip angle with respect to the display datum, thereby indicating to the pilot whether non-optimal (and perhaps dangerous) flight conditions are occurring.

The present invention relates to an apparatus and a method for predicting the dispersion of hazardous and noxious substances and, more specifically, provides an apparatus and a method for predicting the dispersion of hazardous and noxious substances, the method: checking the components of the hazardous and noxious substances having leaked into the ocean, so as to classify the hazardous and noxious substances into a corresponding classification set among twelve classification sets by means of at least one of vapor pressure, the degradation in water, or density; dividing the classification sets, in which the hazardous and noxious substances are classified, into one dispersion model among an air dispersion model, a seawater dispersion model, and an air/seawater dispersion model according to the dispersion characteristics thereof; acquiring, from a weather center server, the state information of a sea area, which is set to be different according to the divided dispersion models; and predicting a danger radius for the dispersion of the hazardous and noxious substances by using the acquired state information of the sea area, and outputting the same.

The present invention relates to an apparatus and a method for predicting the dispersion of hazardous and noxious substances and, more specifically, provides an apparatus and a method for predicting the dispersion of hazardous and noxious substances, the method: checking the components of the hazardous and noxious substances having leaked into the ocean, so as to classify the hazardous and noxious substances into a corresponding classification set among twelve classification sets by means of at least one of vapor pressure, the degradation in water, or density; dividing the classification sets, in which the hazardous and noxious substances are classified, into one dispersion model among an air dispersion model, a seawater dispersion model, and an air/seawater dispersion model according to the dispersion characteristics thereof; acquiring, from a weather center server, the state information of a sea area, which is set to be different according to the divided dispersion models; and predicting a danger radius for the dispersion of the hazardous and noxious substances by using the acquired state information of the sea area, and outputting the same.

A system configured to assist a user in scanning a physical environment in order to generate a three-dimensional scan or model. In some cases, the system may include an interface to assist the user in capturing data usable to determine a scale or depth of the physical environment and to perform a scan in a manner that minimizes gaps.

A wind turbine including a rotor, a nacelle, a generator, and a wind sensor is provided, wherein the wind sensor is arranged above a part of the generator that extends between the rotor and the nacelle. Furthermore, a wind farm including a plurality of interconnected wind turbines is described. Yet further, a method of assembling or modifying a wind turbine is described.

A wind turbine including a rotor, a nacelle, a generator, and a wind sensor is provided, wherein the wind sensor is arranged above a part of the generator that extends between the rotor and the nacelle. Furthermore, a wind farm including a plurality of interconnected wind turbines is described. Yet further, a method of assembling or modifying a wind turbine is described.