Abstract: A system of determining a distance between a mobile electronic device and an obstacle in an environment includes an electronic device, and a computer-readable storage medium. The computer-readable storage medium includes one or more programming instructions that, when executed, cause the electronic device to obtain from a camera of a mobile electronic device one or more images of one or more obstacles in a surrounding environment, and apply a convolution neural network to one or more of the obtained images to generate a one-dimensional array of depth perception estimates. The array includes one or more angle-distance pairs. an angle value of each angle-distance pair represents an angle of one or more of the obstacles relative to the camera. A distance value of each angle-distance pairs represents an estimated distance between the camera and one or more of the obstacles at the corresponding angle of the angle-distance pair.

Abstract: A method and system of detecting faults in rotor driven equipment includes generating data from one or more vibration sensors communicatively coupled to the rotor driven equipment. The data from the one or more machine wearable sensors is collected onto a mobile data collector. The data is sampled at random to estimate a maximum value. Further, a sampling error may be controlled under a predefined value. The data may be analyzed through a combination of Cartesian to Spherical transformation, statistics of the entity extraction (such as variance of azimuthal angle), big data analytics engine and a machine learning engine. A fault is displayed on a user interface associated with the rotor driven equipment.

Abstract: Systems and methods for navigating an environment are provided. A method includes determining a starting location and a destination location in an environment, receiving a graph representation of a map of the environment, determining a plurality of candidate paths from the starting location to the destination location, identifying which of the plurality of candidate paths is a shortest path from the starting point location to the destination object location, selecting the shortest path as a path to navigate from the starting location to the destination location, generating a token comprising one or more instructions for navigating the shortest path, and causing the token to be displayed on a display device of an interactive kiosk, wherein the one or more instructions comprise one or more instructions that cause a mobile electronic device to display a navigation guide for directing a user from the starting location to the destination location.

Abstract: A system of determining a distance between a mobile electronic device and an obstacle in an environment includes an electronic device, and a computer-readable storage medium. The computer-readable storage medium includes one or more programming instructions that, when executed, cause the electronic device to obtain from a camera of a mobile electronic device one or more images of one or more obstacles in a surrounding environment, and apply a convolution neural network to one or more of the obtained images to generate a one-dimensional array of depth perception estimates. The array includes one or more angle-distance pairs. an angle value of each angle-distance pair represents an angle of one or more of the obstacles relative to the camera. A distance value of each angle-distance pairs represents an estimated distance between the camera and one or more of the obstacles at the corresponding angle of the angle-distance pair.

Abstract: A system of determining a location of a mobile electronic device in an indoor environment includes an electronic device and a computer-readable storage medium having one or more programming instructions. The system determines an initial position of a mobile electronic device in an indoor environment and an initial heading of the mobile electronic device, initializes a set of particles, determines a relative location of the mobile electronic device, detects a move associated with the mobile electronic device, creates a subset of the set of particles based on the move, determines a distance between the relative location and a nearest obstacle that is encountered along a path. The system filters the particles in the subset, estimates an actual location of the mobile electronic device, and causes a visual indication of the actual location to be displayed to a user via a display of the mobile electronic device.

Abstract: A method and system of detecting faults in rotor driven equipment includes generating data from one or more vibration sensors communicatively coupled to the rotor driven equipment. The data from the one or more machine wearable sensors is collected onto a mobile data collector. The data is sampled at random to estimate a maximum value. Further, a sampling error may be controlled under a predefined value. The data may be analyzed through a combination of Cartesian to Spherical transformation, statistics of the entity extraction (such as variance of azimuthal angle), big data analytics engine and a machine learning engine. A fault is displayed on a user interface associated with the rotor driven equipment.

Abstract: Systems, methods, and devices for providing power to low energy circuits include inrush circuits. Devices include a regulator that includes at least one driver device configured to generate a first current associated with a load comprising a low energy integrated circuit. Devices also include a bias generator configured to generate a second current to charge a load capacitor coupled with a power terminal of the low energy integrated circuit. Devices further include an enable circuit configured to enable the bias generator and disable the regulator responsive to a load voltage being below a threshold voltage, and further configured to enable the regulator to generate the first current and disable the bias generator responsive to the load voltage being above the threshold voltage.

Abstract: Methods and apparatuses are described for intelligent automation of computer software test scripts and code requirements. A server generates a baseline test script for a plurality of browser-based applications with a sequence of action steps having one or more empty user interface component values. The server performs a first execution of the baseline test script against each of the browser-based applications to extract one or more expected values associated with user interface components that correspond to the empty user interface component values, and stores the expected values. The server performs a second execution of the baseline test script against the browser-based applications to extract one or more actual values associated with user interface components that correspond to the empty user interface component values. The server compares the actual values against the expected values, and if the values do not match, the server generates a message indicating a test failure.

Abstract: Methods and apparatuses are described for intelligent automation of computer software test scripts and code requirements. A server generates a baseline test script for a plurality of browser-based applications with a sequence of action steps having one or more empty user interface component values. The server performs a first execution of the baseline test script against each of the browser-based applications to extract one or more expected values associated with user interface components that correspond to the empty user interface component values, and stores the expected values. The server performs a second execution of the baseline test script against the browser-based applications to extract one or more actual values associated with user interface components that correspond to the empty user interface component values. The server compares the actual values against the expected values, and if the values do not match, the server generates a message indicating a test failure.

Abstract: A method and system of detecting faults in rotor driven equipment includes generating data from one or more vibration sensors communicatively coupled to the rotor driven equipment. The data from the one or more machine wearable sensors is collected onto a mobile data collector. The data is sampled at random to estimate a maximum value. Further, a sampling error may be controlled under a predefined value. The data may be analyzed through a combination of Cartesian to Spherical transformation, statistics of the entity extraction (such as variance of azimuthal angle), big data analytics engine and a machine learning engine. A fault is displayed on a user interface associated with the rotor driven equipment.