Abstract: A method includes receiving a first set of coordinates associated with a first geostationary point, identifying a first plurality of geostationary points having a clear line of sight to the first geostationary point and a second plurality of points lacking the clear line of sight to the first geostationary point, and generating a map in which the first plurality of geostationary points is depicted in a first visual style. Optionally, the map may further depict the second plurality of geostationary points in a second visual style different from the first visual style.

Abstract: Aspects of the subject disclosure may include, for example, receiving first data relating to a position or an orientation of one or more adaptive antennas and second data relating to one or more signals received via the one or more adaptive antennas, causing an AI model to generate a prediction for aligning or adjusting the one or more adaptive antennas based on the first data and the second data, and based on the prediction, transmitting a command to an antenna controller unit to cause the one or more adaptive antennas to be aligned or adjusted. Other embodiments are disclosed.

Abstract: A method includes determining current coordinates and a current elevation setting of a first unmanned aerial vehicle that is to be deployed to a candidate location for a microwave radio dish, receiving expected coordinates and an expected elevation setting of a second unmanned aerial vehicle that is deployed to a location of an existing cellular base station, calculating an angle necessary to direct a flash of light from the first unmanned aerial vehicle toward the expected coordinates and expected elevation setting of the second unmanned aerial vehicle, adjusting a current angle of an optical system of the first unmanned aerial vehicle to match the angle that is calculated, and sending a dataset to a centralized computing device, wherein the dataset includes at least an elevation setting of the first unmanned aerial vehicle at a time of capture of an image of the flash by the second unmanned aerial vehicle.

Abstract: A method includes determining current coordinates and a current elevation setting of a first unmanned aerial vehicle that is to be deployed to a candidate location for a microwave radio dish, receiving expected coordinates and an expected elevation setting of a second unmanned aerial vehicle that is deployed to a location of an existing cellular base station, calculating an angle necessary to direct a flash of light from the first unmanned aerial vehicle toward the expected coordinates and expected elevation setting of the second unmanned aerial vehicle, adjusting a current angle of an optical system of the first unmanned aerial vehicle to match the angle that is calculated, and sending a dataset to a centralized computing device, wherein the dataset includes at least an elevation setting of the first unmanned aerial vehicle at a time of capture of an image of the flash by the second unmanned aerial vehicle.

Abstract: A method includes receiving a first set of coordinates associated with a first geostationary point, identifying a first plurality of geostationary points having a clear line of sight to the first geostationary point and a second plurality of points lacking the clear line of sight to the first geostationary point, and generating a map in which the first plurality of geostationary points is depicted in a first visual style. Optionally, the map may further depict the second plurality of geostationary points in a second visual style different from the first visual style.

Abstract: A method includes determining current coordinates and a current elevation setting of a first unmanned aerial vehicle that is to be deployed to a candidate location for a microwave radio dish, receiving expected coordinates and an expected elevation setting of a second unmanned aerial vehicle that is deployed to a location of an existing cellular base station, calculating an angle necessary to direct a flash of light from the first unmanned aerial vehicle toward the expected coordinates and expected elevation setting of the second unmanned aerial vehicle, adjusting a current angle of an optical system of the first unmanned aerial vehicle to match the angle that is calculated, and sending a dataset to a centralized computing device, wherein the dataset includes at least an elevation setting of the first unmanned aerial vehicle at a time of capture of an image of the flash by the second unmanned aerial vehicle.

Abstract: One or more techniques and/or systems are disclosed for detecting the presence or formation of a blockage in a sewer system using a machine learning (ML) model. The ML model may be trained using a supervised learning method; and may be used to analyze various inputs from a sewer system to automatically sense developing sewer blockages. The systems and techniques described herein may also indicate the type of blockage that is forming, such as silt accumulation; sediment buildup; ragging; root intrusion; fats, oils, and grease (FOG), etc.) prior to a full blockage to allow preventative cleaning operations.

Abstract: Aspects of the disclosure include commanding an antenna to a first orientation relative to a structure that the antenna is mounted to, obtaining at least one measurement from at least one sensor, wherein the at least one measurement represents a first magnitude and a first direction of a displacement of the antenna relative to the first orientation, determining that the displacement of the antenna relative to the first orientation exceeds a threshold in terms of the first magnitude, the first direction, or a combination thereof, responsive to the determining that the displacement of the antenna relative to the first orientation exceeds the threshold, identifying at least one piezoelectric device to engage to cause the antenna to assume a second orientation relative to the structure, and responsive to the identifying, commanding the at least one piezoelectric device to engage to cause the antenna to assume the second orientation.

Abstract: A method or system is provided for diagnosing convulsions of a subject. The method or system may include two general components. First, a device or apparatus that measures and accumulates an electronic data stream representing the physical movements of the human limb(s) and presents that data to a suitable computational device or system for further processing. Second, a set of software or firmware algorithms that operates within the computational device on the data stream for the purpose of describing and characterizing the statistical properties of the movement signal during clinical seizure episodes. The system comprised of both components serves to distinguish and diagnose the movement features of ES events from those of PNES.

Abstract: A system and method of provided for automatically update a system's software. In one example, the software is updated without requiring user intervention. Further, a system is provided that is capable of performing a software update on a non-PC system, such as a networking device, uninterruptible power supply (UPS), or other system. In another example, a system and method is provided for updating multiple components of a system by a proxy system responsible for downloading and applying updates.

Abstract: An apparatus and a method for predicting cognitive performance of an individual based on factors including preferably sleep history and the time of day. The method facilitates the creation of predicted cognitive preformance curves that allow an individual to set his/her sleep times to produce higher levels of cognitive performance. The method also facilitates the reconstruction of past cognitive performance levels based on sleep history.