Abstract: Some of the disclosed methods and apparatuses use several types of stochastic binary string (SBS) generators to generate SBS sequences based on the particular values to be multiplied. Some embodiments use a multiphase SBS generator to more efficiently generate multiple SBS sequences that are offset from one another in “phase”.

Abstract: An approach for diagnosing degradations in performance and malfunctions in sensor networks is disclosed. This approach is based on so-called “fault signatures”. Such fault signatures are generated for known fault conditions through a statistical analysis process that results in each known fault having a unique fault signature. Such unique fault signatures can then point to the root cause of a problem.

Abstract: Various embodiments of a method and apparatus for diagnosing the status of a vehicle using cognitive SMART sensors are disclosed. The SMART sensors have at least some processing power directly associated with the sensor. The SMART sensor that include an artificial intelligence (AI) core are is tightly coupled to the sensor within the SMART sensor. The sensor may be an audio sensor, such as a high quality microphone, that can record sounds that emanate from of the vehicle. Such sounds may be associated with one or more of the components of the vehicle. The AI core analyzes the sounds that emanate from the vehicle to determine the operational status of the vehicle. A communication module allows the result to be communicated to remotely located interested entities.

Abstract: A method and apparatus is disclosed for determining a stochastic binary string (SBS) representing a value based on the value represented in binary two's complement. Several different generators are disclosed for generating SBS strings, each being generated to have particular features that are advantageous under various conditions in which the string is to be multiplied with another SBS string. Several such generators can be presented and selected depending upon the particular values to be converted to SBS representation and the functions to be performed on those values.

Abstract: A reliable method and apparatus for communications over AC power lines that may have substantial interference is disclosed. A controller can be plugged into an AC outlet and communicate with a device plugged into any other AC outlet over the power lines within the facility. The controller may perform an analysis of the interference that is present on the power lines that run throughout the facility. In some cases, the particular path for power line signals can be selected to reduce the potential for interference. In some cases, the controller has a front end that comprises a Fast Fourier Transform (FFT) module and a neural network. In addition, devices under the control of the controller may have neural networks that can be used in combination to form a collaborative neural network.

Abstract: Some of the disclosed methods and apparatuses use several types of stochastic binary string (SBS) generators to generate SBS sequences based on the particular values to be multiplied.

Abstract: An image processing system comprising several drones flown over a geographic region is disclosed. In some embodiments, the geographic region is within the cell coverage area of a cellular transmission tower. In some embodiments, the cellular transmission tower is capable of communicating over a cellular telephone network with a cellular telephone transceiver within a lead drone. In some such embodiments, one or more of the drones has a camera capable of taking a relatively high resolution photograph of the earth and the features on the earth below the drones. The area of the earth that the camera can capture may include the area directly under each of the other drones. The image can then be compared to other images. Using image recognition algorithms, the processor can identify a target asset and track the target asset based on the comparison of images.

Abstract: An approach for diagnosing degradations in performance and malfunctions in sensor networks is disclosed. This approach is based on so-called “fault signatures”. Such fault signatures are generated for known fault conditions through a statistical analysis process that results in each known fault having a unique fault signature. Such unique fault signatures can then point to the root cause of a problem.

Abstract: A plurality of microphones are coupled to an audio feature extractor (AFE). The output of the AFE is coupled to a local Artificial Intelligence (AI) platform. Additional feature extraction and classification is performed by the platform. Event Descriptors (Eds) are output from the platform and coupled to amplifiers that amplify the EDs to provide audio output from speakers, headsets, etc. In addition, the EDs are provided to a set of devices, such as internet of things (IOT) devices and cloud devices. Still further the EDs can be provided as control signals to devices. A high dynamic range AFE is provided. In addition, a reconfigurable AI platform is provided. Still further, the AI form factor is extremely small.

Abstract: A cross layer network diagnostics and self-healing platform for PtMP networks has been described. The disclosed invention utilizes next generation network diagnostics technology to improving broadband services, including, but not limited to, QoS centric applications such as real-time video (e.g. Video Conference Calls, Tele Presence, etc.).

Abstract: A method and apparatus is disclosed for determining a stochastic binary string (SBS) representing a value based on the value represented in binary two's complement. Several different generators are disclosed for generating SBS strings, each being generated to have particular features that are advantageous under various conditions in which the string is to be multiplied with another SBS string. Several such generators can be presented and selected depending upon the particular values to be converted to SBS representation and the functions to be performed on those values.

Abstract: Systems and methods having a local processor at the extreme edge of an environmental monitoring/control system are disclosed. A sensor is provided in close proximity to the processing module. The processing module is a relatively simple processor capable of detecting the occurrence of one particular event, or a limited number of particular events. The processing is done with a relatively simple neural network. Processing module outputs indicate that a particular event has occurred. The processing module includes a memory into which values can be loaded that are determined by “pre-training” for use with the processing module. The downloading and use of such pre-trained values allows the processing module to efficiently detect particular events for which the values were pre-trained.

Abstract: Systems and methods having a local processor at the extreme edge of an environmental monitoring/control system are disclosed. A sensor is provided in close proximity to the processing module. The processing module is a relatively simple processor capable of detecting the occurrence of one particular event, or a limited number of particular events. The processing is done with a relatively simple neural network. Processing module outputs indicate that a particular event has occurred. The processing module includes a memory into which values can be loaded that are determined by “pre-training” for use with the processing module. The downloading and use of such pre-trained values allows the processing module to efficiently detect particular events for which the values were pre-trained.

Abstract: An apparatus comprising a first dipole antenna, a beamforming antenna array (BFAA), a first switch coupled to the dipole antenna, a second switch coupled to the BFAA, and a processor coupled to the first switch and the second switch, wherein the processor is configured to select between a multi-input, multi-output (MIMO) antenna configuration and a beamforming configuration by setting the states of the first switch and the second switch.

Abstract: Scheduling and allocating resources in a millimeter wave communication system are performed by components of both the MAC and the RF front end acting in cooperation with one another. MAC components operate essential in accordance with the 802.11 standard. Signals at 2.4/5 GHz intermediate frequency (IF) output from an IF module are upconverted to an RF mmWave spectrum. The RF signals are routed to different subsector antennas and/or polarizations of a subsector antenna in order to direct the RF mmWave signal to a desired destination. Beamforming by the physical structures of antennas, direct the RF signals to a particular subsector. The combination of allocating resources within the MAC, processing within the MBI module before being upconverting to RF, together with signal switching of the RF signals, determines the destination to which signals are to be transmitted and the source from which signals are to be received.

Abstract: An approach for diagnosing degradations in performance and malfunctions in sensor networks is disclosed. This approach is based on so-called “fault signatures”. Such fault signatures are generated for known fault conditions through a statistical analysis process that results in each known fault having a unique fault signature. Such unique fault signatures can then point to the root cause of a problem.

Abstract: A cross layer network diagnostics and self-healing platform for PtMP networks has been described. The disclosed invention utilizes next generation network diagnostics technology to improving broadband services, including, but not limited to, QoS centric applications such as real-time video (e.g. Video Conference Calls, Tele Presence, etc.).

Abstract: A next generation system for use in a “smart” structure, such as a building and/or home, has been described. The disclosed method and apparatus allows the system to not only act on the commands received from the employees/occupants, but also to create a natural and meaningful interaction between the system and the users. An interactive environment such as is disclosed can benefit from a high level of awareness that can be enhanced through the collection of various bits of information. Such information may be collected by coupling various sensors and devices to obtain data. Such data collection can be performed by consistent monitoring of the state of the user and the surrounding environment.

Abstract: An image processing system comprising several drones flown over a geographic region is disclosed. The geographic region may be within the cell coverage area of a cellular transmission tower. The cellular transmission tower may be capable of communicating over a cellular telephone network with a cellular telephone transceiver within a lead drone. One or more of the drones may have a camera capable of taking a relatively high resolution photograph of the earth and the features on the earth below the drones. The area of the earth that the camera can capture may include the area directly under each of the other drones. The image can then be compared to other images. Using image recognition algorithms, the processor can identify a target asset and track the target asset based on the comparison of images.

Abstract: Embodiments are directed to a Coordination and Control Center (CaCC) in communication with a plurality of base stations including a first base station and a first subscriber unit of a communication system, the CaCC including an Interference Mitigation Circuit configured to: (a) receive information regarding a source of interference affecting radio frequency communications between a first base station and a first subscriber unit of a communication system, wherein the source is at least one of a second base station or a second subscriber unit within the communication system; and (b) provide instructions to the source from the CaCC to mitigate the interference between the affected first base station and first subscriber unit.