Abstract: A mixed reality (MR) system and method performs alignment of a digital twin and the corresponding real-world object using 3D deep neural network structures using multimodal fusion and simplified machine learning to cluster label distributions (output of 3D deep neural network trained by generic 3D benchmark dataset) that are used to reduce the training data requirements to directly train a 3D deep neural network structures. In one embodiment, multiple 3D deep neural network structures, such as PointCNN, 3D-Bonet, RandLA, etc., may be trained by different generic 3D benchmark datasets, such as ScanNet, ShapeNet, S3DIS, inadequate 3D training dataset, etc.

Abstract: Disclosed embodiments may include a system for monitoring applications. The system may receive first data associated with a first application. Responsive to receiving the first data, the system may retrieve second data associated with the first application. The system may generate third data associated with the first application by analyzing the second data via natural language processing (NLP). The system may train a machine learning model (MLM) to determine a first threshold associated with the first application based on the third data. The system may transmit the first threshold to a user. Responsive to transmitting the first threshold, the system may receive fourth data associated with a second application. The system may determine, via the MLM and based on the fourth data, an updated first threshold associated with the second application.

Abstract: A mixed reality (MR) system and method performs three dimensional (3D) tracking using 3D deep neural network structures in which multimodal fusion and simplified machine learning to only cluster label distribution (output of 3D deep neural network trained by generic 3D benchmark dataset) is used to reduce the training data requirements of to directly train a 3D deep neural network structures for non-generic user case. In one embodiment, multiple 3D deep neural network structures, such as PointCNN, 3D-Bonet, RandLA, etc., may be trained by different generic 3D benchmark datasets, such as ScanNet, ShapeNet, S3DIS, inadequate 3D training dataset, etc.

Abstract: A tethered imaging camera encapsulated in a shell lens element of such camera enables viewing from inside and imaging of a biological organ in/from a variety of directions. A portion of camera's optical system together with light source(s) and optical detector mutually cooperated by housing structure inside the shell are moveable/re-orientable within the shell to vary a desired view of the object space without interruption of imaging process. A tether carries electrical but not optical signals to and from the camera and controllable traction cords to move the camera, and a hand-control unit and/or electronic circuitry configured to operate the camera and power its movements. Method(s) of using optical, optoelectronic, and optoelectromechanical sub-systems of the camera.

Abstract: An imaging camera containing an encapsulated optical lens enables viewing from inside and imaging of a chosen cavity in/from a variety of directions with the use of an electromagnetic apparatus located inside the encapsulation. A portion of camera's optical system together with light source(s) and optical detector mutually cooperated by housing structure inside the encapsulating shell are moveable/re-orientable within the shell to vary a desired view of the object space without interruption of imaging process. Method(s) of using optical, optoelectronic, and optoelectromechanical sub-systems of the camera.

Abstract: A tethered imaging camera encapsulated in a shell lens element of such camera enables viewing from inside and imaging of a biological organ in/from a variety of directions. A portion of camera's optical system together with light source(s) and optical detector mutually cooperated by housing structure inside the shell are moveable/re-orientable within the shell to vary a desired view of the object space without interruption of imaging process. A tether carries electrical but not optical signals to and from the camera and controllable traction cords to move the camera, and a hand-control unit and/or electronic circuitry configured to operate the camera and power its movements. Method(s) of using optical, optoelectronic, and optoelectromechanical sub-systems of the camera.

Abstract: A tethered opto-electronic imaging system encapsulated in an optically-transmissible housing capsule/shell and configured to image object space in multiple fields-of-view (FOVs) to form a visually-perceivable representation of the object space in which sub-images representing different FOVs remain co-directional regardless of mutual repositioning of the object and the imaging system. The capsule/shell of the system is a functionally-required portion of the train of optical components that aggregately define and form a lens of the optical imaging system. The tether is devoid of any functional optical channel or element. When different FOVs are supported by the same optical detector, co-directionality of formed sub-images images is achieved due via judicious spatial re-distribution of irradiance of an acquired sub-image to form a transformed sub-image while maintaining aspect ratios of dimensions of corresponding pixels of the acquired and transformed sub-images.

Abstract: A tethered opto-electronic imaging system encapsulated in an optically-transmissible housing capsule/shell and configured to image object space in multiple fields-of-view (FOVs) to form a visually-perceivable representation of the object space in which sub-images representing different FOVs remain co-directional regardless of mutual repositioning of the object and the imaging system. The capsule/shell of the system is a functionally-required portion of the train of optical components that aggregately define and form a lens of the optical imaging system. The tether is devoid of any functional optical channel or element. When different FOVs are supported by the same optical detector, co-directionality of formed sub-images images is achieved due via judicious spatial re-distribution of irradiance of an acquired sub-image to form a transformed sub-image while maintaining aspect ratios of dimensions of corresponding pixels of the acquired and transformed sub-images.

Abstract: A tethered imaging camera encapsulated in a shell lens element of such camera enables viewing from inside and imaging of a biological organ in/from a variety of directions. A portion of camera's optical system together with light source(s) and optical detector mutually cooperated by housing structure inside the shell are moveable/re-orientable within the shell to vary a desired view of the object space without interruption of imaging process. A tether carries electrical but not optical signals to and from the camera and controllable traction cords to move the camera, and a hand-control unit and/or electronic circuitry configured to operate the camera and power its movements. Method(s) of using optical, optoelectronic, and optoelectromechanical sub-systems of the camera.

Abstract: A tethered imaging camera encapsulated in a shell lens element of such camera enables viewing from inside and imaging of a biological organ in/from a variety of directions. A portion of camera's optical system together with light source(s) and optical detector mutually cooperated by housing structure inside the shell are moveable/re-orientable within the shell to vary a desired view of the object space without interruption of imaging process. A tether carries electrical but not optical signals to and from the camera and controllable traction cords to move the camera, and a hand-control unit and/or electronic circuitry configured to operate the camera and power its movements. Method(s) of using optical, optoelectronic, and optoelectromechanical sub-systems of the camera.

Abstract: A tethered imaging camera encapsulated in a shell lens element of such camera enables viewing from inside and imaging of a biological organ in/from a variety of directions. A portion of camera's optical system together with light source(s) and optical detector mutually cooperated by housing structure inside the shell are moveable/re-orientable within the shell to vary a desired view of the object space without interruption of imaging process. A tether carries electrical but not optical signals to and from the camera and controllable traction cords to move the camera, and a hand-control unit and/or electronic circuitry configured to operate the camera and power its movements. Method(s) of using optical, optoelectronic, and optoelectromechanical sub-systems of the camera.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining monitoring compliance for an enterprise application deployed on an application delivery platform. Existing resources, monitors and alerts are discovered with gaps in monitoring being calculated based on a comparison of monitoring objectives and the existing monitors and alerts. Gaps in monitoring are reported in a GUI reflecting effectiveness of existing monitors.

Abstract: A tethered imaging camera encapsulated in a shell lens element of such camera enables viewing from inside and imaging of a biological organ in/from a variety of directions. A portion of camera's optical system together with light source(s) and optical detector mutually cooperated by housing structure inside the shell are moveable/re-orientable within the shell to vary a desired view of the object space without interruption of imaging process. A tether carries electrical but not optical signals to and from the camera and controllable traction cords to move the camera, and a hand-control unit and/or electronic circuitry configured to operate the camera and power its movements. Method(s) of using optical, optoelectronic, and optoelectromechanical sub-systems of the camera.

Abstract: A mixed reality (MR) system and method performs alignment of a digital twin and the corresponding real-world object using 3D deep neural network structures using multimodal fusion and simplified machine learning to cluster label distributions (output of 3D deep neural network trained by generic 3D benchmark dataset) that are used to reduce the training data requirements to directly train a 3D deep neural network structures. In one embodiment, multiple 3D deep neural network structures, such as PointCNN, 3D-Bonet, RandLA, etc., may be trained by different generic 3D benchmark datasets, such as ScanNet, ShapeNet, S3DIS, inadequate 3D training dataset, etc.

Abstract: Optical imaging systems configured to image object space in multiple fields-of-view (FOVs)—front and lateral FOVs—and form corresponding images that are co-oriented and co-directional regardless of mutual repositioning of the object and imaging systems. Images formed with such optical systems in which FFOV— and LFOV-image portions are co-directional. Co-directionality of formed images is achieved due to direct imaging with a system utilizing a specific involute reflective surface or as a result of radial spatial redistribution of irradiance of an initial image(s), formed with a system devoid of an involute reflective surface, while maintaining aspect ratios of dimensions of corresponding pixels of initial and transformed images. Methodology of transformation of images utilizing radial redistribution of image irradiance.

Abstract: A tethered imaging camera encapsulated in a shell lens element of such camera enables viewing from inside and imaging of a biological organ in/from a variety of directions. A portion of camera's optical system together with light source(s) and optical detector mutually cooperated by housing structure inside the shell are moveable/re-orientable within the shell to vary a desired view of the object space without interruption of imaging process. A tether carries electrical but not optical signals to and from the camera and controllable traction cords to move the camera, and a hand-control unit and/or electronic circuitry configured to operate the camera and power its movements. Method(s) of using optical, optoelectronic, and optoelectromechanical sub-systems of the camera.

Abstract: A tethered imaging camera encapsulated in a shell lens element of such camera enables viewing from inside and imaging of a biological organ in/from a variety of directions. A portion of camera's optical system together with light source(s) and optical detector mutually cooperated by housing structure inside the shell are moveable/re-orientable within the shell to vary a desired view of the object space without interruption of imaging process. A tether carries electrical but not optical signals to and from the camera and controllable traction cords to move the camera, and a hand-control unit and/or electronic circuitry configured to operate the camera and power its movements. Method(s) of using optical, optoelectronic, and optoelectromechanical sub-systems of the camera.

Abstract: An electronic device such as a wearable electronic device may have a band. The band may form a stand-alone device or a strap for a wristwatch unit or other device. Electrical components may be mounted on flexible printed circuit substrates. A substrate may be encapsulated by elastomeric polymer material or other material forming the band. The elastomeric polymer material may form cavities that receive the electrical components. Components such as light-emitting diodes may be mounted to the flexible printed circuit substrates so that the light-emitting diodes are located in the cavities. Reflective sidewalls in the cavities may reflect light from the light-emitting diodes outwardly through a thinned portion of the band. Light-diffusing material in the cavities may be formed from clear polymer with light-scattering particles.

Abstract: A mixed reality (MR) system and method performs three dimensional (3D) tracking using 3D deep neural network structures in which multimodal fusion and simplified machine learning to only cluster label distribution (output of 3D deep neural network trained by generic 3D benchmark dataset) is used to reduce the training data requirements of to directly train a 3D deep neural network structures for non-generic user case. In one embodiment, multiple 3D deep neural network structures, such as PointCNN, 3D-Bonet, RandLA, etc., may be trained by different generic 3D benchmark datasets, such as ScanNet, ShapeNet, S3DIS, inadequate 3D training dataset, etc.

Abstract: Optical imaging systems configured to image object space in multiple fields-of-view (FOVs)—front and lateral FOVs—and form corresponding images that are co-oriented and co-directional regardless of mutual repositioning of the object and imaging systems. Images formed with such optical systems in which FFOV- and LFOV-image portions are co-directional. Co-directionality of formed images is achieved due to direct imaging with a system utilizing a specific involute reflective surface or as a result of radial spatial redistribution of irradiance of an initial image(s), formed with a system devoid of an involute reflective surface, while maintaining aspect ratios of dimensions of corresponding pixels of initial and transformed images. Methodology of transformation of images utilizing radial redistribution of image irradiance.