Abstract: Technology for inspection for detecting a defect of a printed matter using machine logic informed by machine learning. Some embodiments of the present invention may include one, or more, of the following features: (i) generates defect datasets; (ii) generates defect libraries; (iii) uses the generated defect libraries for deep learning training; and (iv) uses machine learning to detect defects using computer code (for example, a *.jpg format file) corresponding to an image of a piece of printed matter instead of using a visual image (that is, an image of the type that is created when a person takes a picture using a traditional film camera).

Abstract: Embodiments of this specification provide account opening methods, systems, and apparatuses. An example method is performed by a terminal device that includes a trusted execution environment (TEE) and an encryption hardware-based secure element. When it is detected that a current user initiates an account opening request, the terminal device obtains a user public key of the current user in the TEE, and signs a user public key by using a predetermined manufacturer private key, to obtain a user certificate; signs, in the secure element by using a user private key corresponding to the user public key, opening information; generates an opening request in the TEE based on at least the user certificate and signed opening information; and, in the TEE, generates an opening request packet based on the opening request, and sends the opening request packet to a server that opens an account based on the opening request packet.

Abstract: An approach is provided in which the approach receives an image that includes multiple image points and constructs a plane in the image based on a first subset of the plurality of image points. The approach identifies a second subset of the image points that belong to the plane and are not part of the first subset of image points, and removes the first subset of image points and the second subset of image points form the image points. The approach annotates the remaining subset of image points in the image.

Abstract: An approach is provided in which the approach receives an image that includes multiple image points and constructs a plane in the image based on a first subset of the plurality of image points. The approach identifies a second subset of the image points that belong to the plane and are not part of the first subset of image points, and removes the first subset of image points and the second subset of image points form the image points. The approach annotates the remaining subset of image points in the image.

Abstract: In an aspect for generating a 2-dimensional (2D) building mapping, a computer-implemented method may include one or more processors configured for receiving scanning data in a first file format corresponding to 3-dimensional (3D) aerial Light Detection and Ranging (LiDaR) images. Further, the method may include transforming the first file format to a second file format and transmitting the scanning data to a building semantic segmentation component. Further, the computer-implemented method may include generating semantic segmentation data corresponding to building structures defined by point clusters; generating instance segmentation data corresponding to top surfaces of the building structures; generating building boundary data for each one of the point clusters based on one or more of the semantic segmentation data and the instance segmentation data; and processing the building boundary data to generate a 2D building mapping comprising refined boundary lines for each of the point clusters.

Abstract: Technology for inspection for detecting a defect of a printed matter using machine logic informed by machine learning. Some embodiments of the present invention may include one, or more, of the following features: (i) generates defect datasets; (ii) generates defect libraries; (iii) uses the generated defect libraries for deep learning training; and (iv) uses machine learning to detect defects using computer code (for example, a *.jpg format file) corresponding to an image of a piece of printed matter instead of using a visual image (that is, an image of the type that is created when a person takes a picture using a traditional film camera).

Abstract: Computer automated interactive activity recognition based on keypoint detection includes retrieving, by one or more processors, a temporal sequence of image frames from a video recording. The one or more processors identify first and second keypoints in each of the image frames in the temporal sequence using machine learning techniques. The first keypoints are associated with an object in the temporal sequence of image frames while the second keypoints are associated with an individual interacting with the object. The one or more processors combine the first keypoints with the second keypoints and extract spatial-temporal features from the combination that are used to train a classification model based on which interactive activities can be recognized.

Abstract: A method, computer system, and a computer program product for analyzing visual defects is provided. The present invention may include generating a template image. The present invention may include capturing a test image. The present invention may include performing an image registration between the template image and the test image. The present invention may include generating a registered test image. The present invention may include performing an image difference analysis between the registered test image and the template image. The present invention may include generating a differential image. The present invention may include synthesizing the registered, differential image, and template image. The present invention may include generating a synthetic image. The present invention may include inputting the synthetic image into a multi-scale detection network. The present invention may include generating a defect map.

Abstract: Computer automated interactive activity recognition based on keypoint detection includes retrieving, by one or more processors, a temporal sequence of image frames from a video recording. The one or more processors identify first and second keypoints in each of the image frames in the temporal sequence using machine learning techniques. The first keypoints are associated with an object in the temporal sequence of image frames while the second keypoints are associated with an individual interacting with the object. The one or more processors combine the first keypoints with the second keypoints and extract spatial-temporal features from the combination that are used to train a classification model based on which interactive activities can be recognized.

Abstract: A method, computer system, and a computer program product for analyzing visual defects is provided. The present invention may include generating a template image. The present invention may include capturing a test image. The present invention may include performing an image registration between the template image and the test image. The present invention may include generating a registered test image. The present invention may include performing an image difference analysis between the registered test image and the template image. The present invention may include generating a differential image. The present invention may include synthesizing the registered, differential image, and template image. The present invention may include generating a synthetic image. The present invention may include inputting the synthetic image into a multi-scale detection network. The present invention may include generating a defect map.

Abstract: Temperature monitoring devices have a primary body with an inner circular perimeter, a temperature monitoring segment held by the primary body, the temperature monitoring segment comprising an inwardly extending thermal probe, and a fastener assembly segment held by the primary body at a location that is circumferentially spaced apart from the temperature monitoring segment. The fastener assembly segment has a circumferentially extending bracket that can be radially extended in a direction that is toward the inner circular perimeter of the device.

Abstract: Temperature monitoring devices have a primary body with an inner circular perimeter, a temperature monitoring segment held by the primary body, the temperature monitoring segment comprising an inwardly extending thermal probe, and a fastener assembly segment held by the primary body at a location that is circumferentially spaced apart from the temperature monitoring segment. The fastener assembly segment has a circumferentially extending bracket that can be radially extended in a direction that is toward the inner circular perimeter of the device.

Abstract: Temperature monitoring devices have a primary body with an inner circular perimeter, a temperature monitoring segment held by the primary body, the temperature monitoring segment comprising an inwardly extending thermal probe, and a fastener assembly segment held by the primary body at a location that is circumferentially spaced apart from the temperature monitoring segment. The fastener assembly segment has a circumferentially extending bracket that can be radially extended in a direction that is toward the inner circular perimeter of the device.

Abstract: A failure prediction assembly is structured to monitor circuit breaker assembly sub-assemblies and their component's characteristics. The failure prediction assembly includes a sensor supported D-shaft and a sensor assembly including a housing and a number of sensors. The sensor assembly housing defines a D-shaft passage. A control unit is in electronic communication with the sensor assembly. The sensor assembly housing is coupled to the circuit breaker sidewalls with the sensor assembly housing D-shaft passage aligned with the circuit breaker sidewall D-shaft passages. The sensor supported D-shaft is rotatably coupled to the sensor assembly with the sensor supported D-shaft disposed through said sensor assembly housing D-shaft passage.

Abstract: A cooling system for a circuit breaker is provided. The cooling system includes a temperature management unit, a power assembly, and a heat dissipating assembly. The temperature management unit is structured to detect the temperature at one of the circuit breaker or the conductor assembly. The power assembly is structured to harvest energy from the circuit breaker. The heat dissipating assembly includes a number of convection units, each heat convection unit is disposed immediately adjacent a number of the heat exchanging element.

Abstract: Temperature monitoring devices have a primary body with an inner circular perimeter, a temperature monitoring segment held by the primary body, the temperature monitoring segment comprising an inwardly extending thermal probe, and a fastener assembly segment held by the primary body at a location that is circumferentially spaced apart from the temperature monitoring segment. The fastener assembly segment has a circumferentially extending bracket that can be radially extended in a direction that is toward the inner circular perimeter of the device.

Abstract: A cooling system for a circuit breaker is provided. The cooling system includes a temperature management unit, a power assembly, and a heat dissipating assembly. The temperature management unit is structured to detect the temperature at one of the circuit breaker or the conductor assembly. The power assembly is structured to harvest energy from the circuit breaker. The heat dissipating assembly includes a number of convection units, each heat convection unit is disposed immediately adjacent a number of the heat exchanging element.

Abstract: A failure prediction assembly is structured to monitor circuit breaker assembly sub-assemblies and their component's characteristics. The failure prediction assembly includes a sensor supported D-shaft and a sensor assembly including a housing and a number of sensors. The sensor assembly housing defines a D-shaft passage. A control unit is in electronic communication with the sensor assembly. The sensor assembly housing is coupled to the circuit breaker sidewalls with the sensor assembly housing D-shaft passage aligned with the circuit breaker sidewall D-shaft passages. The sensor supported D-shaft is rotatably coupled to the sensor assembly with the sensor supported D-shaft disposed through said sensor assembly housing D-shaft passage.

Abstract: The present invention is directed towards the use of the masked palm civet Paguma larvata (“civet”) as an animal model system for SARS, and is based on the novel demonstration of the present invention that civets may be infected with exogenous coronavirus, and that such infection produces SARS-like symptoms in these infected animals. The present invention is directed to a civet model system for the study of the infection, replication, and clinical effects of exogenously introduced human SARS-CoV coronavirus strains, civet SARS-CoV-like coronavirus strains, or variants or derivatives thereof, and to the development of vaccines (or other methods of prevention) or treatment of infection or transmission to other civets or humans of these human SARS-CoV coronavirus strains, civet SARS-CoV-like coronavirus strains, or variants or derivatives thereof.