Abstract: Disclosed are an automatic welding system and method for large structural parts based on hybrid robots and 3D vision. The system comprises a hybrid robot system composed of a mobile robot and an MDOF robot, a 3D vision system, and a welding system used for welding. The rough positioning technique based on a mobile platform and the accurate recognition and positioning technique based on high-accuracy 3D vision are combined, so the working range of the MDOF robot in the XYZ directions is expanded, and flexible welding of large structural parts is realized. The invention adopts 3D vision, thus having better error tolerance and lower requirements for the machining accuracy of workpieces, positioning accuracy of mobile robots and placement accuracy of the workpieces; and the cost is reduced, the flexibility is improved, the working range is expanded, labor is saved, production efficiency is improved, and welding quality is improved.

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

Abstract: A text-video recommendation model determines relevance of a text to a video in a text-video pair (e.g., as a relevance score) with a text embedding and a text-conditioned video embedding. The text-conditioned video embedding is a representation of the video used for evaluating the relevance of the video to the text, where the representation itself is a function of the text it is evaluated for. As such, the input text may be used to weigh or attend to different frames of the video in determining the text-conditioned video embedding. The representation of the video may thus differ for different input texts for comparison. The text-conditioned video embedding may be determined in various ways, such as with a set of the most-similar frames to the input text (the top-k frames) or may be based on an attention function based on query, key, and value projections.

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

Abstract: A plurality of multifunctional underwater 3D displacement meters are arranged in a lattice and connected sequentially; four rotation shafts may be rotatably mounted in a housing and extend in a vertical direction, one end of the rotation shaft and the housing are connected to a compressible spring, four perforations penetrate the housing in a circumferential direction at intervals, the metallic lines correspond to the perforations one to one, one end of the metallic line is wound around the rotation shaft, and the other end thereof penetrates out of the perforation and is connected to the metallic line of the adjacent 3D displacement meter; and the displacement meter corresponds to the metallic line for measuring a take-up and pay-off length of the metallic line, and a three-axis acceleration sensor and a fluxgate monitor inclination angle change and azimuth angle change of the 3D displacement meter.

Abstract: A plurality of multifunctional underwater 3D displacement meters are arranged in a lattice and connected sequentially; four rotation shafts may be rotatably mounted in a housing and extend in a vertical direction, one end of the rotation shaft and the housing are connected to a compressible spring, four perforations penetrate the housing in a circumferential direction at intervals, the metallic lines correspond to the perforations one to one, one end of the metallic line is wound around the rotation shaft, and the other end thereof penetrates out of the perforation and is connected to the metallic line of the adjacent 3D displacement meter; and the displacement meter corresponds to the metallic line for measuring a take-up and pay-off length of the metallic line, and a three-axis acceleration sensor and a fluxgate monitor inclination angle change and azimuth angle change of the 3D displacement meter.

Abstract: A video localization system localizes actions in videos based on a classification model and an actionness model. The classification model is trained to make predictions of which segments of a video depict an action and to classify the actions in the segments. The actionness model predicts whether any action is occurring in each segment, rather than predicting a particular type of action. This reduces the likelihood that the video localization system over-relies on contextual information in localizing actions in video. Furthermore, the classification model and the actionness model are trained based on weakly-labeled data, thereby reducing the cost and time required to generate training data for the video localization system.

Abstract: The disclosed embodiments include computer-implemented systems and methods that dynamically predict future occurrences of events using adaptively trained machine-learning or artificial-intelligence processes. For example, an apparatus may generate an input dataset based on elements of interaction data associated with an extraction interval. Based on an application of a trained artificial intelligence process to the input dataset, the apparatus may generate output data representative of a predicted likelihood of an occurrence of a first event during a first portion of a target interval, which may be separated from the extraction interval by a second portion of the target interval. The first event may be associated with a predetermined temporal duration within the first portion of the target interval. The apparatus may transmit a portion of the generated output data to a computing system, and the computing system may be configured to perform operations based on the portion of the output data.

Abstract: Provided are a method and device employing a smart contract to realize identity-based key management. The method comprises: running a smart contract, and executing a key management process, wherein the key management process comprises: when a key of a target user requires an update and the target user is not a supervised user, generating a master public key and a master private key pertaining to the target user; acquiring, from a blockchain, identity information of the target user; generating a first target private key according to the master public key and the master private key pertaining to the target user and the identity information of the target user; and replacing a current private key of the target user with the first target private key.

Abstract: An image scanning apparatus, and a method and an apparatus for controlling receiving of an image scanning optical signal are provided. The mage scanning apparatus may include an array photosensitive pixel unit configured to receive at least one optical signal, and a control circuit connected with the array photosensitive pixel unit and configured to control the array photosensitive pixel unit to receive the at least one optical signal. With the adoption of the image scanning apparatus, and the method and the apparatus for controlling receiving of the image scanning optical signal, the problem in the related art that an image is easily interfered by external stray lights within a non-exposure time of a scanning period and accordingly quality of a scanned image is reduced may be solved.

Abstract: An image scanning apparatus, and a method and an apparatus for controlling receiving of an image scanning optical signal are provided. The mage scanning apparatus may include an array photosensitive pixel unit configured to receive at least one optical signal, and a control circuit connected with the array photosensitive pixel unit and configured to control the array photosensitive pixel unit to receive the at least one optical signal. With the adoption of the image scanning apparatus, and the method and the apparatus for controlling receiving of the image scanning optical signal, the problem in the related art that an image is easily interfered by external stray lights within a non-exposure time of a scanning period and accordingly quality of a scanned image is reduced may be solved.

Abstract: The present disclosure relates to a device for laying out a prefabricated magnetic field and a method for responding state of a slip mass in the prefabricated magnetic field. The device may include a traction mechanism, a control mechanism and a layout probe. The layout probe may include a shell, a circuit board and at least one set of layout mechanism equipped in the shell. The layout mechanism may include a cartridge, a screw pole, an electromagnet, a driving mechanism and a pressing mechanism. The traction mechanism may lay down the layout probe to a default location of a drill hole. The control mechanism may control the driving mechanism to transmit an uppermost permanent-magnet in the layout probe to the cartridge nozzle and be attracted by the electromagnet. The pressing mechanism may move the electromagnet which presses the permanent-magnet in the inner wall of the drill hole.

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

Abstract: The present disclosure relates to a device for laying out a prefabricated magnetic field and a method for responding state of a slip mass in the prefabricated magnetic field. The device may include a traction mechanism, a control mechanism and a layout probe. The layout probe may include a shell, a circuit board and at least one set of layout mechanism equipped in the shell. The layout mechanism may include a cartridge, a screw pole, an electromagnet, a driving mechanism and a pressing mechanism. The traction mechanism may lay down the layout probe to a default location of a drill hole. The control mechanism may control the driving mechanism to transmit an uppermost permanent-magnet in the layout probe to the cartridge nozzle and be attracted by the electromagnet. The pressing mechanism may move the electromagnet which presses the permanent-magnet in the inner wall of the drill hole.

Abstract: A curved surface forming device for an adjustable segmented mold board with square rams, consisting of an upper group and a lower group of adjustable molds (4) whose height can be adjusted, and a loading mechanism. The adjustable molds (4) are arranged in the loading mechanism and at least one group of adjustable molds (4) can move up and down under the drive of the loading mechanism. The upper group and the lower group of the adjustable molds (4) are respectively provided with M×N and (M?1)×(N?1) square rams (1) capable of swinging. The upper and the lower square rams (1) are arranged in an interlaced manner in both transverse and longitudinal directions. The square rams (1) are composed of a square plate (a) and the sphere (b) with the pressure imposition surface being a plane or a curved surface. The curved surface forming device can eliminate the crumpling and deformation generated in the board punching, reduce dents and improve processing quality.

Abstract: A curved surface forming device for an adjustable segmented mold board with square rams, consisting of an upper group and a lower group of adjustable molds (4) whose height can be adjusted, and a loading mechanism. The adjustable molds (4) are arranged in the loading mechanism and at least one group of adjustable molds (4) can move up and down under the drive of the loading mechanism. The upper group and the lower group of the adjustable molds (4) are respectively provided with M×N and (M?1)×(N?1) square rams (1) capable of swinging. The upper and the lower square rams (1) are arranged in an interlaced manner in both transverse and longitudinal directions. The square rams (1) are composed of a square plate (a) and the sphere (b) with the pressure imposition surface being a plane or a curved surface. The curved surface forming device can eliminate the crumpling and deformation generated in the board punching, reduce dents and improve processing quality.