Abstract: An active feedback control method for a quantum communication system based on machine learning is disclosed. In the transmission process of a quantum key distribution system, the present invention uses a pre-trained double-layer LSTM network to predict, according to a real-time ambient temperature, humidity and laser light intensity fluctuation, as well as voltage changes in the past moment, a zero-phase voltage value of a phase modulator at a receiving end at the next moment, and updates the network at a fixed time interval, so that the LSTM network can accurately predict for a long time, ensuring that the quantum key distribution system operates stably and efficiently for a long time. The present invention greatly improves the transmission efficiency of the quantum key distribution system by method of active prediction and feedback control.

Abstract: Disclosed is a joint recommendation and cache optimization method based on a collaboration of multiple base stations, each base station in a target area randomly caching contents stored to the cloud, when each base station in the target area receives a to-be-responded content request, constructing the recommendation optimization sub-model, the access optimization sub-model and the cache optimization sub-model, then constructing and solving the optimization problem to obtain the target base station, optimal cached contents and the recommendation list that correspond to the to-be-responded content request. Through the technical solution of the present application, the total time delay of the system is minimized, and by jointly optimizing the recommendation decision, access decision and cache decision, the delay can be significantly reduced with a lower cache capacity, and more efficient for users, good experience.

Abstract: A heavy-load and high-precision transmission mechanism applicable to sheet-metal bending equipment, which includes pressing arms, connecting rods, hinged supports, pressing arm lifting assemblies and pressing arm lifting driving assemblies. The pressing arms are symmetrically arranged on a top part of a rack. A front end part of each pressing arm facing an upper cross beam is hinged with the cross beam through the connecting rod. An intermediate part of each pressing arm or a rear end part of each pressing arm away from the cross beam is hinged on the rack through the hinged support. The rear end part or the intermediate part of each pressing arm is provided with a set of pressing arm lifting assemblies. Each set of pressing arm lifting assemblies is connected with a set of pressing arm lifting driving assemblies. Each set of pressing arm lifting driving assembly includes an all-electric servo motor.

Abstract: Disclosed is a joint recommendation and cache optimization method based on a collaboration of multiple base stations, each base station in a target area randomly caching contents stored to the cloud, when each base station in the target area receives a to-be-responded content request, constructing the recommendation optimization sub-model, the access optimization sub-model and the cache optimization sub-model, then constructing and solving the optimization problem to obtain the target base station, optimal cached contents and the recommendation list that correspond to the to-be-responded content request. Through the technical solution of the present application, the total time delay of the system is minimized, and by jointly optimizing the recommendation decision, access decision and cache decision, the delay can be significantly reduced with a lower cache capacity, and more efficient for users, good experience.

Abstract: A method for recognizing a fog concentration of a hazy image includes inputting a target hazy image into a pre-trained directed acyclic graph (DAG) support vector machine to acquire a fog concentration of the target hazy image. The fog concentration of the target hazy image is represented based on a prebuilt multi-feature model, and the feature vector in the multi-feature model includes at least one of a color feature, a dark channel feature, an information quantity feature and a contrast feature.

Abstract: Embodiments of the present application provide a method for predicting envelope features. The method includes: according to baseband data or data after modulation mapping, a peak value of a radio frequency envelope signal, a time point corresponding to the peak value, a valley point of the radio frequency envelope signal and a time point corresponding to the valley point are predicted; according to the valley point and the time point corresponding thereto, a generated reference value is sent to a low-bandwidth control signal generating module to obtain a control signal; according to adjacent valley point and peak point, and time points corresponding thereto, generated status information is sent to a high-bandwidth control signal generating module to obtain a control switch signal; and when in an ascending status, according to a key information string, a slope k of a connecting line is determined, and a corresponding filter inductor is turned on.

Abstract: A networked control method for primary frequency regulation of a new energy power station based on a source-grid-load-storage networked cloud decision control system platform comprises: determining, according to historical operating data of a new energy power station, primary frequency regulation predictive values of power generation units of the new energy power station; determining, according to the primary frequency regulation predictive values, optimal control sequences of inverters of the power generation units at different times based on a pre-established inverter active power model, wherein the optimal control sequences comprise multiple control quantities of active power of the inverters; marking the optimal control sequences at the different times with time scales, sending the optimal control sequences to executing devices of the power generation units, receiving the optimal control sequences, and determining whether to store or not store the optimal control sequences; and determining the control qua

Abstract: A method of image reconstruction for a cross-modal communication system is disclosed. The method reconstructs a damaged, lost, or delayed image signal during transmission by using complete haptic signals received by a receiving end in the cross-modal communication system, and further constructs a cross-modal interaction network with reference to an attention mechanism, thus solving the limitation of the conventional generation model that it can only be trained on paired samples. An image reconstruction device for a cross-modal communication system is also disclosed. By fully utilizing semantic correlation between different-modality data and realizing cross-modal generation from haptic signals to image signals for unpaired data, the present invention overcomes the difficulty in acquiring haptic-image signal pairs in the practical cross-modal communication system, and significantly improves the quality and class accuracy of generated image signals.

Abstract: A high-gain and low-RCS (radar cross section) broadband circularly polarized metasurface antenna based on a novel sequential-rotation feeding network includes three layers of dielectric substrates and five metal layers as well as three resistors, which are from top to bottom: a first metal layer, a first dielectric substrate, a second metal layer, a second dielectric substrate, a third metal layer, a fourth metal layer, a third dielectric substrate and a fifth metal layer. The first three metal layers are all metasurface arrays composed of 10*10 metal patches; the fourth metal layer and the third metal layer define a resonant cavity by means of a distance therebetween; the fourth metal layer is provided with four slits having rotational symmetry; and the fifth metal layer is a hybrid feeding network composed of microstrip lines and including three equal power dividers and three resistors.

Abstract: A method for detecting comprehensive GPU-related factors of a distributed cluster, the method including: (1): checking whether there is a configuration file content of an operating node; (2): reading a mode parameter in an environment variable of the operating node, and correspondingly switching an operating mode according to the mode parameter; (3): reading a timer frequency value from the environment variable of the operating node so as to set a time period for reading a GPU information parameter according to the timer frequency value; (4): calculating the maximum value of the GPU information parameter of the operating node, and storing the maximum value into the GPU information list cache; and (5): initializing the transmitted information; determining whether there is a GPU in the GPU information list cache of the operating node.

Abstract: A precision compensation mechanism of a full-automatic bidirectional flanging machine comprises an upper die X-direction fine adjustment assembly, an upper die Y-direction fine adjustment assembly, a lower die X-direction fine adjustment assembly and a lower die Y-direction fine adjustment assembly, wherein the fine adjustment assemblies each comprise N adjusting threaded sleeves, N adjusting screws and a threaded sleeve rotation driving device; wherein the N adjusting threaded sleeves are threaded into an upper opening or a lower opening of a C-shaped flanging beam along the length direction of an upper die or a lower die; the outer wall surfaces of the N adjusting threaded sleeves are threaded into the upper opening or the lower opening of the C-shaped flanging beam to form N screw thread pairs I with the thread pitch of P1.

Abstract: The present disclosure discloses a multi-task joint computing unloading and resource allocation method based on D2D (Device-to-Device) communication. For solving the problems that computing resources of a local terminal cannot complete all computing tasks on time when there are multiple computing tasks with delay requirements on a local terminal, the method introduces a computing unloading mechanism to reduce the delay and the overhead of the local terminal itself. The method is based on a D2D communication technology. In the scenario where mobile terminals are densely distributed, the local terminal can unload the computing tasks at the same time to several surrounding idle terminals for processing. According to the method, a total overhead objective function is established in consideration of the task delay, energy consumption, and unloading fee.

Abstract: The present disclosure discloses a multiscale point cloud classification method. The method includes the following steps: acquiring 3D unordered point cloud data; performing feature extraction and classification on the acquired point cloud data using a pre-trained parallel classification network to obtain an output result, wherein the parallel classification network includes a plurality of basic networks with the same structures; and fusing the output results of the parallel network using a pre-trained deep Q network to obtain a final result of point cloud classification. The present disclosure can improve the accuracy and robustness of point cloud classification.

Abstract: The present disclosure discloses a text classification system based on feature selection and a method thereof in the technical field of natural language processing and short text classification, comprising: acquiring a text classification data set; dividing the text classification data set into a training text set and a test text set, and then pre-processing the training text set and the test text set; extracting feature entries from the pre-processed training text set through improved chi-square statistics to form feature subsets; using TF-IWF algorithm to give the weight to the extracted feature entries; based on the weighted feature entries, establishing a short text classification model based on a support vector machine; and classifying the pre-processed test text set by the short text classification model. The present disclosure solves the problem that the short text content is sparse to some extent, thereby improving the performance of short text classification.

Abstract: The present disclosure discloses a high-precision point cloud completion method based on deep learning and a device thereof, which comprises the following steps: introducing dynamic kernel convolution PAConv into a feature extraction module, learning a weight coefficient according to the positional relationship between each point and its neighboring points, and adaptively constructing the convolution kernel in combination with the weight matrix. A spatial attention mechanism is added to a feature fusion module, which facilitates a decoder to better learn the relationship among various features, and thus better represent the feature information. A discriminator module comprises global and local attention discriminator modules, which use multi-layer full connection to classify and determine whether the generated results conform to the real point cloud distribution globally and locally, respectively, so as to optimize the generated results.

Abstract: A cyclic compound formed by a Friedel-Crafts reaction at positions 1 and 3 of carbazole and a preparation method thereof are disclosed. The compound is formed by connecting an achiral type I di-(tertiary alcohol) synthon constructed from fluorenyl and benzene or a derivative thereof, at position 9 of fluorenyl with positions 1 and 3 of carbazole, forming a closed ring structure with a clear and durable shape, having clear side lengths and vertices on the nanometer scale.

Abstract: The present disclosure discloses an image haze removal method and apparatus, and a device. The method includes: acquiring a hazy image to be processed; and obtaining a haze-free image corresponding to the hazy image by inputting the hazy image into a pre-trained haze removal model. The present disclosure uses the residual dual attention fusion modules as basic modules of the neural network, so that each feature map can obtain pixel features while enhancing the global dependence, thus improving the image dehazing effect.

Abstract: The present disclosure discloses a content delivery method and system through an in-vehicle network based on regional content popularity, and in particular relates to the technical field of in-vehicle networks. For a content library corresponding to a target region and each target vehicle in the target region, each target vehicle responds to content objects in the content library. Based on each content object in the content library corresponding to the target region and a data eigenvalue of a preset data type corresponding to each content object, for each target vehicle in the target region that receives a data screening request, in response to the data screening request, content objects that match the data screening request are obtained and scheduled. A set of data screening requests responded to by each target vehicle is obtained by constructing a utility function.

Abstract: The present disclosure discloses an image haze removal method and apparatus, and a device. The method includes: acquiring a hazy image to be processed; and obtaining a haze-free image corresponding to the hazy image by inputting the hazy image into a pre-trained haze removal model. The present disclosure uses the residual dual attention fusion modules as basic modules of the neural network, so that each feature map can obtain pixel features while enhancing the global dependence, thus improving the image dehazing effect.

Abstract: An ultra-wideband ground penetrating radar control system, comprising a synchronous clock generating circuit, a GPS positioning module, a measuring wheel encoder module, a digitally controlled delay circuit for equivalent sampling, an analog-to-digital conversion (ADC) circuit, and a main controller. The synchronous clock generating circuit, the GPS positioning module, the measuring wheel encoder module, the digitally controlled delay circuit and the ADC circuit are all connected to the main controller. The synchronous clock generating circuit is further connected to an external ultra-wideband radar transmitter. The digitally controlled delay circuit is further connected to an external sampling pulse generation circuit for equivalent sampling. The ADC circuit is further connected to an external sampling gate for equivalent sampling. The main controller is further connected to an external server via Ethernet. The volume of an ultra-wideband ground penetrating radar control system is reduced.