Abstract: A system for measuring a first physical parameter includes a mechanical device configured to operate based on the first physical parameter, and a source sensor coupled with the mechanical device and configured to output a signal indicative of the first physical parameter that is based on a second physical parameter and a forward mapping function, wherein the forward mapping function is learned during a system training phase in which pairwise first physical parameter data from a first physical parameter sensor is forward mapped from second physical parameter data from the source sensor.

Abstract: A system for assisting drivers and riders to find each other in a ride-hailing service is provided. A driver device may communicate with a rider device. The driver device may receive GPS coordinates of the rider device such that the relative location of the rider device can be determined via GPS. In response to the rider device being within a threshold distance from driver device, the rider device and driver device can connect via Wi-Fi to share data to improve the locational ability of the system. At least one processor can receive Wi-Fi data packets from the rider device, measure and extract channel state information (CSI) from the Wi-Fi data packets, execute an angle of arrival (AoA) application to determine the angle of arrival based on the CSI, and display a location of the rider based on the determined angle of arrival from the CSI.

Abstract: The disclosure is directed to methods for improving the quality of oocytes for assisted reproductive technology procedures (ARTs), such as oocyte cryopreservation and in vitro fertilization. The method involves culturing an oocyte in which endogenous expression of miRNAs miR-20b, miR-199, and miR-363 is absent or reduced in the presence of exogenous miR-20b, miR-199, and miR-363. The disclosure also provides methods for selecting high-quality oocytes by assessing expression of the miRNAs miR-20b, miR-199, and miR-363 in a cumulus cell surrounding an oocyte isolated from a subject, and methods for performing an ART procedure using a selected high-quality oocyte.

Abstract: Systems and methods for detecting symptoms of occupant illness is disclosed herein. In embodiments, a storage is configured to maintain a visualization application and data from one or more sources, such as an audio source, an image source, and/or a radar source. A processor is in communication with the storage and a user interface. The processor is programmed to receive data from the one or more sources, execute human-detection models based on the received data, execute activity-recognition models to recognize symptoms of illness based on the data from the one or more sources, determine a location of the recognized symptoms, and execute a visualization application to display information in the user interface. The visualization application can show a background image with an overlaid image that includes an indicator for each location of recognized symptom of illness. Additionally, data from the audio source, image source, and/or radar source can be fused.

Abstract: A system (100) for monitoring a pipe system (10) includes a first sensor device (102). The first sensor device (102) includes at least one sensor, a wake-up circuit (170), and a processor (172). The at least one sensor is configured to sense an operating characteristic of a piping section (12) of the pipe system (10), and includes a transducer configured such that an audio signal emanating in the piping section induces the transducer to produce a voltage signal indicative of the audio signal. The wake-up circuit (170) is operatively connected with the transducer, and generates a wake-up signal in response to the voltage signal being above a predetermined threshold. The processor (172) is operatively connected to the wake-up circuit (170) and to the at least one sensor, and is configured to identify an operating condition of the pipe system (10) with reference to the operating characteristic sensed by the at least one sensor in response to receiving the wake-up signal.

Abstract: A system includes memory, a processor in communication with the memory. The processor is programmed to define a fingerprint that includes a baseline measurement of a physical attribute of at least a separate processor during an enrollment period of the system, wherein the enrollment period includes measuring the physical attribute of the processor prior to runtime operation, receiving a runtime measurement from a sensor regarding the physical attribute of at least the separate processor during runtime, comparing the runtime measurement of the physical attribute to the fingerprint, and outputting a multi-dimensional domain image in response to the runtime measurement.

Abstract: A system for automatic creation of interactive step-by-step guide using wearable devices is proposed. The system includes wearable audio-visual sensors such as a first-person camera, a processor, a computer readable medium and a communication interface module to deliver interactive guidance to the users.

Abstract: A method of operating a selected electronic device of a plurality of electronic devices includes generating image data of at least the selected electronic device with an imaging device, displaying a virtual representation of at least the selected electronic device on a display device based on the generated image data, and receiving a user input with an input device. The method further includes associating the user input with the selected electronic device using a controller, transmitting device data to the selected electronic device with a transceiver, and performing an operation with the selected electronic device based on the transmitted device data.

Abstract: A method is disclosed of discriminating detected objects in an area with a vision apparatus. The method includes generating image data of a portion of the area using an imaging device of the object detection device, and processing the image data to classify the image data as an imaged scene type selected from a plurality of scene types stored as scene type data in the memory. The method further includes processing the image data using the object identification data to generate object detection data for each object of the plurality of objects located in the portion of the area, each object detection data having a corresponding scene type of the plurality of scene types obtained from the object identification data, and generating user a sensible output only for the object detection data having a corresponding scene type that is the same as the imaged scene type.

Abstract: An apparatus comprising a wireless transceiver configured to communicate packet data with a mobile device associated with one or more persons in a vicinity of the wireless transceiver, and a controller in communication with the wireless transceiver and a camera, the controller configured to receive a plurality of packet data from one or more person, wherein the packet data includes at least amplitude information associated with the wireless channel communicating with the wireless transceiver and receive images from the camera containing trajectory of motion of individuals, performs detection, tracking, and pseudo-identification of individuals by fusing motion trajectories from wireless signals and camera images.

Abstract: An audio and vibration based power distribution equipment condition monitoring system and method is provided. The system incudes an IAA device and a sensing assembly. The IAA device has computer executable instructions such as an audio data processing algorithms configured to identify and predict impending anomalies associated with one or more power distribution equipment using one or more neural networks.

Abstract: An apparatus comprising a wireless transceiver configured to communicate packet data with a mobile device associated with one or more persons in a vicinity of the wireless transceiver, and a controller in communication with the wireless transceiver and a camera, the controller configured to receive a plurality of packet data from one or more person, wherein the packet data includes at least amplitude information associated with the wireless channel communicating with the wireless transceiver and receive images from the camera containing trajectory of motion of individuals, performs detection, tracking, and pseudo-identification of individuals by fusing motion trajectories from wireless signals and camera images.

Abstract: An intelligent audio analytic apparatus (IAAA) and method for space system. The IAAA comprises a processor, a computer readable medium, and a communication module. The instructions include audio data processing algorithms configured to identify and predict impending anomalies associated with the space system using at least one neural network.

Abstract: A system (100) for monitoring a pipe system (10) includes a first sensor device (102). The first sensor device (102) includes at least one sensor, a wake-up circuit (170), and a processor (172). The at least one sensor is configured to sense an operating characteristic of a piping section (12) of the pipe system (10), and includes a transducer configured such that an audio signal emanating in the piping section induces the transducer to produce a voltage signal indicative of the audio signal. The wake-up circuit (170) is operatively connected with the transducer, and generates a wake-up signal in response to the voltage signal being above a predetermined threshold. The processor (172) is operatively connected to the wake-up circuit (170) and to the at least one sensor, and is configured to identify an operating condition of the pipe system (10) with reference to the operating characteristic sensed by the at least one sensor in response to receiving the wake-up signal.

Abstract: A method of operating a selected electronic device of a plurality of electronic devices includes generating image data of at least the selected electronic device with an imaging device, displaying a virtual representation of at least the selected electronic device on a display device based on the generated image data, and receiving a user input with an input device. The method further includes associating the user input with the selected electronic device using a controller, transmitting device data to the selected electronic device with a transceiver, and performing an operation with the selected electronic device based on the transmitted device data.

Abstract: A method for operation of a communication network reduces leakage of data to an adversary that can observe signals transmitted through the communication network. The method includes generating a ranking to order operation of a plurality of nodes that exchange data in a group cryptographic key exchange process based on a leakage map of the nodes. The ranking minimizes leakage of data through a shared communication medium during the group cryptographic key exchange process. The method includes transmitting the ranking to the plurality of nodes through the shared communication medium, and performing, with the plurality of nodes, the group cryptographic key exchange process in an order of operation specified in the ranking to enable the plurality of nodes to exchange a shared cryptographic key through the shared communication medium while minimizing leakage of data.

Abstract: This disclosure relates to a mobile, autonomous audio sensing and analytics system and method for monitoring operating states in one or more environments including manufacturing, commercial, and residential environments. The autonomous audio sensing and analytics system comprises: a plurality of machines configured to listen and collect information; at least one autonomous audio sensing and analytic system configured to capture the listened and collected information; and a visualization system communicatively coupled to at least one or more of machines or the autonomous audio sensing and analytic system, wherein the autonomous audio sensing and analytic system communicatively coupled to more than one machine stores, classifies, estimates, and outputs the information to the visualization system for performing at least one of analysis operation or failure notification.

Abstract: A system for training a deep learning system to detect engine knock with accuracy associated with high fidelity knock detection sensors despite using data from a low fidelity knock detection sensor. The system includes an engine, a high fidelity knock detection sensor, a low fidelity knock detection sensor, and an electronic processor. The electronic processor is configured to receive first data from the high fidelity knock detection sensor. The electronic processor is also configured to receive second data from the low fidelity knock detection sensor. The electronic processor is further configured to map the first data to the second data, train the deep learning system, using training data including the mapped data, to determine a predicted peak pressure using data from the low fidelity knock detection sensor, receive third data from the low fidelity knock detection sensor, and using the third data, determine the predicted peak pressure.

Abstract: A processor-based client device may be localized in an indoor area based on Received Signal Strength Indication (RSSI) values from different access points is provided. A general geographic area in which the processor-based client device is located. A position of the processor-based client device on the identified area is determined. A context-aware information is displayed on the processor-based client device once the identified area is determined.

Abstract: A robust WiFi indoor localization system for large public sites includes a self-adaptive system communicatively coupled to a plurality of clients. The self-adaptive system includes a processor, a computer readable medium, and a communication interface module.