In one embodiment, a method includes determining, by a controller, a first wind direction relative to a first vehicle and determining, by the controller, a first wind speed relative to the first vehicle. The method also includes calculating, by the controller, an absolute wind direction relative to ground using the first wind direction relative to the first vehicle and calculating, by the controller, an absolute wind speed relative to the ground using the first wind speed relative to the first vehicle. The method further includes calculating, by the controller, a second wind direction relative to a second vehicle using the absolute wind direction and calculating, by the controller, a second wind speed relative to the second vehicle using the absolute wind speed. A front end of the first vehicle and a front end of the second vehicle face different directions.

A computer-implemented method, a system, and a computer program product for detecting objects are disclosed. The method can include receiving, by a computer communicatively connected to a plurality of anemometers positioned throughout the space, first sensor data from the plurality of anemometers, creating a baseline profile of airflow in the space based on the first sensor data, and receiving second sensor data from the plurality of anemometers at a different time than the first sensor data. The method can include comparing the second sensor data with the first sensor data to determine first different data, rendering, in response to determining that the second sensor data is different from the first sensor data, a representation of the object using the first different data and first location data related to the first different data, and calculating a vector associated with the object using the first different data and the first location data.

This invention is an apparatus that can be intermittently bottom moored and moved with buoyancy as it uses its sensors to collect data in deep ocean water. In one embodiment of the invention, the apparatus includes one or more floats, buoyancy engines, payload sensors, depth sensors and electronics. The electronics provide the power and, among other things, control the transmission of data from and the reception of information by the apparatus. An anchor is used to moor the apparatus at desired locations. When not moored, the apparatus drifts with the currents at the depth at which the apparatus is then positioned, with the movement being directed by current flow of the water. The movement of the apparatus is guided with knowledge of the currents and tides (it is not random).

This invention is an apparatus that can be intermittently bottom moored and moved with buoyancy as it uses its sensors to collect data in deep ocean water. In one embodiment of the invention, the apparatus includes one or more floats, buoyancy engines, payload sensors, depth sensors and electronics. The electronics provide the power and, among other things, control the transmission of data from and the reception of information by the apparatus. An anchor is used to moor the apparatus at desired locations. When not moored, the apparatus drifts with the currents at the depth at which the apparatus is then positioned, with the movement being directed by current flow of the water. The movement of the apparatus is guided with knowledge of the currents and tides (it is not random).

The present invention relates to a synchronous sampling and measuring system and a method thereof for flue gas partition. The system includes a detection device arranged at an SCR outlet for simultaneous detection of flue gas from the pipelines in different areas, wherein the detection device is connected to a speed measurement device for measuring the speed of flue gas, the speed measurement device is connected to a central control unit and one end of a valve group, respectively, the other end of the valve group is connected to an air extracting device and a dilution unit, respectively, the control end of the valve group and the control end of the air extracting device are connected to a central control unit, respectively, the dilution unit is connected to a CEMS analyzer.

The present invention relates to a synchronous sampling and measuring system and a method thereof for flue gas partition. The system includes a detection device arranged at an SCR outlet for simultaneous detection of flue gas from the pipelines in different areas, wherein the detection device is connected to a speed measurement device for measuring the speed of flue gas, the speed measurement device is connected to a central control unit and one end of a valve group, respectively, the other end of the valve group is connected to an air extracting device and a dilution unit, respectively, the control end of the valve group and the control end of the air extracting device are connected to a central control unit, respectively, the dilution unit is connected to a CEMS analyzer.

A computer-readable, non-transitory medium storing a program that causes a computer to execute a process is provided. The process includes acquiring a backward Rayleigh scattered light from an optical fiber composite overhead ground wire provided along an electrical power transmission line, determining each of spectral densities of each of frequencies of vibration of the optical fiber composite overhead ground wire, on a basis of the backward Rayleigh scattered light, estimating a wind speed of a wind hitting the electrical power transmission line, on a basis of a first spectral density of a first frequency band including a natural frequency of the optical fiber composite overhead ground wire, and estimating a wind direction of the wind, on a basis of a second spectral density of a second frequency band which does not include the natural frequency of the optical fiber composite overhead ground wire.

A system for detecting fungus, virus, and disease-causing pathogens in an agricultural industry using artificial intelligence, which comprises: an unmanned aerial vehicle (UAV); and a ground terminal telecommunicating with the UAV using a wireless access communication, wherein the UAV comprises a wireless transmitter for transmitting data to and from the ground terminal, an array of cantilevers on a substrate located at one side of the wireless transmitter, a blacklight located at the other side of the wireless transmitter, and a sensory part located on the wireless transmitter, wherein the cantilever is made up of beams anchored at one end and projecting into space, and wherein the sensory part comprises a scanner with a high-definition microscope camera, a laser sensor for three-dimensional areal mapping, an infrared sensor, a humidity sensor, a thermostat, a gas sensor, a thermal sensor, an optical dust particle sensor, an electro-optical sensor, and an air quality sensor, and wherein the ground terminal comprises an artificial intelligence machine-learning and data-mining platform wirelessly telecommunicating with the UAV.

A system for detecting fungus, virus, and disease-causing pathogens in an agricultural industry using artificial intelligence, which comprises: an unmanned aerial vehicle (UAV); and a ground terminal telecommunicating with the UAV using a wireless access communication, wherein the UAV comprises a wireless transmitter for transmitting data to and from the ground terminal, an array of cantilevers on a substrate located at one side of the wireless transmitter, a blacklight located at the other side of the wireless transmitter, and a sensory part located on the wireless transmitter, wherein the cantilever is made up of beams anchored at one end and projecting into space, and wherein the sensory part comprises a scanner with a high-definition microscope camera, a laser sensor for three-dimensional areal mapping, an infrared sensor, a humidity sensor, a thermostat, a gas sensor, a thermal sensor, an optical dust particle sensor, an electro-optical sensor, and an air quality sensor, and wherein the ground terminal comprises an artificial intelligence machine-learning and data-mining platform wirelessly telecommunicating with the UAV.

A solar tracker system includes a photovoltaic panel and an actuator coupled to the photovoltaic panel and configured to actuate to rotate the photovoltaic panel around a base. A controller communicatively coupled to the actuator is configured to detect a direction from which wind is incident on the photovoltaic panel. Based on the direction from which wind is incident on the photovoltaic panel, the controller adaptively controls the actuator to set a stow position of the photovoltaic panel.