Abstract: The gating apparatus comprises: a system synchronization unit configured to acquire a clock of a quantum communication system; and a programmable controller configured to generate at least one periodic gating signal sequence that are synchronized with the clock of the quantum communication system, wherein gating signals in each gating signal sequence are spaced apart from each other by a predetermined duration, such that a single-photon detector can operate in a corresponding Geiger mode for a received optical pulse, and the predetermined duration is an optical path difference between a long arm and a short arm of an unequal-arm interferometer that is used for performing phase encoding in the quantum communication system.

Abstract: Disclosed is a cloud-native application programming interface (API) recommendation method fusing data augmentation and contrastive learning. Service information is included on the basis of a service information double-graph structure, and a mutual attention mechanism is designed to compute an importance degree of each layer of information. A data optimization method for sequence information based on functional similarity and a computation method for similarity between services based on two parts of information are provided; on this basis, data of a service invocation sequence is augmented with the idea of contrastive learning to form an augmented sequence pair; a computational contrastive loss function is combined with a pair-wise recommendation loss function to optimize an overall model, thereby improving the effect of a service recommendation model; and according to a feature embedding representation result of a service, pair-wise recommendation scores are computed to complete service recommendation.

Abstract: A denoising method based on a multiscale distribution score for a point cloud includes: constructing a two-layer network model based on multiscale perturbation and point cloud distribution, where the two-layer network model includes a feature extraction module for extracting a feature of the point cloud and a displacement prediction module for predicting a displacement of a noise point; constructing a point cloud noise model for improving a denoising effect and retaining a sharp feature and avoiding reducing quality of point cloud data; extracting a global feature h by inputting the point cloud data into the feature extraction module; iteratively learning the displacement of the noise point by the displacement prediction module according to a feature obtained by the feature extraction unit; and defining a loss function of network training, and completing convergence under the condition that the loss function reaches a set threshold or a maximum number of iterations.

Abstract: The present application discloses a self-calibration elevator door lock contact making device, which comprises a stationary base plate, a movable base plate, contacts, adjusting components and a controller, wherein the stationary base plate and the movable base plate are oppositely arranged and are respectively provided with contacts, and the two contacts can move relatively laterally or longitudinally through the adjusting components respectively; and the controller is electrically connected with two groups of adjusting components and provided with a contact detection loop capable of monitoring the contact state of the two contacts. The automatic real-time monitoring and automatic calibration of the door lock can be realized, and the door lock can be locked smoothly when the landing door and the car door are closed, thereby reducing the delay caused by inaccurate door operation and the cost of manual maintenance and adjustment, and improving the safety and reliability of the elevator.

Abstract: The present application discloses a steel belt guide wheel assembly comprising guide wheels and bearings, wherein the guide wheels are made of nylon, the left and right ends of the wheel surface are respectively provided with a left annular convex wall and a right annular convex wall; a belt groove is formed between the left annular convex wall and the right annular convex wall, the bearings are coaxially installed in a wheel body channel of the guide wheel, and the guide wheels can be detachably connected in pairs by a connecting mechanism or glued together by glue; the assembly has good wear resistance, low noise, light weight and high strength, which prolongs the service life, reduces the manufacturing cost and maintenance cost, helps to reduce the load of elevator system, reduces the load of driving parts, improves the riding comfort of passengers, and can be freely combined as required.

Abstract: Disclosed is a secondary recommendation method based on a service complementary relation learning model for a RESTful service.

Abstract: The disclosure provides a method and apparatus for extracting an avalanche signal.

Abstract: A device is for surface strengthening of a metal plate based ultrasonic vibration is provided. The device includes an ultrasonic vibration tool holder and a cutting tool. The ultrasonic vibration tool holder is internally provided with an ultrasonic transducer and an ultrasonic booster; the ultrasonic transducer is configured to transmit vibration to the ultrasonic booster, the ultrasonic booster is configured to drive longitudinal torsion vibration of the cutting tool; an end of the ultrasonic booster facing towards the cutting tool is provided with an adjustment assembly configured for adjusting a longitudinal torsion angle and a rotation speed. Since the device includes the adjustment assembly, the longitudinal torsion angle and the rotation speed of the device can be adjusted according to different processing requirements, so as to perform ultrasonic vibration extrusion strengthening on surfaces of titanium alloy plates and improve surface integrity including microhardness and residual stress.

Abstract: A device is for surface strengthening of a metal plate based ultrasonic vibration. The device includes an ultrasonic vibration tool holder and a cutting tool. The ultrasonic vibration tool holder is internally provided with an ultrasonic transducer and an ultrasonic booster; the ultrasonic transducer is configured to transmit vibration to the ultrasonic booster, the ultrasonic booster is configured to drive longitudinal torsion vibration of the cutting tool; an end of the ultrasonic booster facing towards the cutting tool is provided with an adjustment assembly configured for adjusting a longitudinal torsion angle and a rotation speed. Since the device includes the adjustment assembly, the longitudinal torsion angle and the rotation speed of the device can be adjusted according to different processing requirements, so as to perform ultrasonic vibration extrusion strengthening on surfaces of titanium alloy plates and improve surface integrity including microhardness and residual stress.

Abstract: Disclosed is a cloud-native application programming interface (API) recommendation method fusing data augmentation and contrastive learning. Service information is included on the basis of a service information double-graph structure, and a mutual attention mechanism is designed to compute an importance degree of each layer of information. A data optimization method for sequence information based on functional similarity and a computation method for similarity between services based on two parts of information are provided; on this basis, data of a service invocation sequence is augmented with the idea of contrastive learning to form an augmented sequence pair; a computational contrastive loss function is combined with a pair-wise recommendation loss function to optimize an overall model, thereby improving the effect of a service recommendation model; and according to a feature embedding representation result of a service, pair-wise recommendation scores are computed to complete service recommendation.

Abstract: Disclosed in the present invention is a health state assessment method for equipment based on a knowledge graph attention network, includes: steps: 1) constructing a graph data model which can comprehensively reflect change of a health state of the equipment by deeply integrating association relationships of equipment components, monitoring data dependence relationships and priori information, etc. by means of a knowledge graph and by combining with domain priori knowledge; 2) extracting feature information of the health state knowledge graph by using a graph attention network, and obtaining a target node vector representation which accurately reflects the health state of the equipment by means of learning; and 3) making a health state representation vector of the equipment pass through a fully connected layer to obtain a health state classification prediction probability, and performing training to reducing a loss value relative to a true label, thereby obtaining a health state assessment result.

Abstract: The disclosure provides a method and apparatus for extracting an avalanche signal.

Abstract: Provided in the present disclosure are a gating apparatus for a single-photon detector, and a quantum communication device. The gating apparatus comprises: a system synchronization unit configured to acquire a clock of a quantum communication system; and a programmable controller configured to generate at least one periodic gating signal sequence that are synchronized with the clock of the quantum communication system, wherein gating signals in each gating signal sequence are spaced apart from each other by a predetermined duration, such that a single-photon detector can operate in a corresponding Geiger mode for a received optical pulse, and the predetermined duration is an optical path difference between a long arm and a short arm of an unequal-arm interferometer that is used for performing phase encoding in the quantum communication system.

Abstract: A denoising method based on a multiscale distribution score for a point cloud includes: constructing a two-layer network model based on multiscale perturbation and point cloud distribution, where the two-layer network model includes a feature extraction module for extracting a feature of the point cloud and a displacement prediction module for predicting a displacement of a noise point; constructing a point cloud noise model for improving a denoising effect and retaining a sharp feature and avoiding reducing quality of point cloud data; extracting a global feature h by inputting the point cloud data into the feature extraction module; iteratively learning the displacement of the noise point by the displacement prediction module according to a feature obtained by the feature extraction unit; and defining a loss function of network training, and completing convergence under the condition that the loss function reaches a set threshold or a maximum number of iterations.

Abstract: The disclosure provides a gating apparatus for a single-photon detector and a quantum communication device. The gating apparatus includes: a system synchronization unit, configured to obtain a periodic gating signal synchronized with a clock of a quantum communication system; a clock distributor, configured to divide the periodic gating signal into two periodic gating signals; a delay unit, configured to delay one periodic gating signal of the two periodic gating signals, so that the one periodic gating signal and the other periodic gating signal of the two periodic gating signals are spaced apart by predetermined duration; and a logical OR gate, configured to perform an OR operation on the one periodic gating signal delayed and the other periodic gating signal undelayed of the two periodic gating signals, so as to generate a periodic gating signal sequence synchronized with the clock of the quantum communication system.

Abstract: A digital twin based method for monitoring behavior of a passenger on an escalator includes: first, constructing a digital twin virtual scene of the escalator carrying the passenger; constructing a virtual person model in a physics engine, generating various types of risky behavior in reality, and outputting different types of behavior of a virtual person; second, through a human posture recognition method for monitoring behavior of a passenger, extracting a feature map as an input by means of a visual geometry group 19 (VGG19) pre-training network, to enter part affinity fields (PAFs) and a part confidence map (PCM), so as to complete recognition of human postures; classifying the human postures with a support vector machine; and performing emergency stop control on the escalator under risky behavior of the passenger according to a result of posture classification.