bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Virtual Private Network Technology in University Network Information Security
Authors: Yin Chengrui 
Published: May 2021

Abstract
With the rapid progress of network technology, people gradually increase the coverage of the network. Network technology integration in all aspects of people’s lives. Information has become everyone’s important property. Many schools begin to pay attention to information security. In this process, people found some main measures of network security protection[5]. The application of campus security information protection based on virtual private network technology has become a hot topic of experts. This paper describes the characteristics of virtual private network. Finally, this paper puts forward some suggestions on campus information protection.
Evolutionary Game and Computer Data Optimization Control for Multi-Valued Logical Dynamic Systems
Authors: Fu Fanqiang 
Published: May 2021

Abstract
Evolutionary game theory specifically refers to the fact that today we no longer regard the traditional human model as a super rational player, but ascribe the outcome of human beings reaching the game balance to the fact that human beings seek the right method from the wrong through continuous trial and error. In the traditional control theory and the modern control theory, it is very difficult to establish the model for some systems which are described and summarized by the laws of physics or mathematics, and which have many influencing factors and are coupled with each other. With the continuous progress of science and technology, the application of computer data control system in many fields is more and more extensive, and based on the continuous advancement of modernization, the dependence on computer data control system is also constantly improving. Optimizing the computer data control system can not only greatly save time, but also improve the working efficiency of the group, thus increasing the benefits of the enterprise. In this paper, from the optimization control of computer data system as the analysis goal, through the study of evolutionary game theory and the analysis of multi-valued logic dynamic system, and then combined with the optimization control of computer data, this problem is discussed and analyzed from multiple aspects.
Research on Innovative Education of Computer Specialty Rely on Computer
Authors: Zhang Hua , Dong Xiao 
Published: May 2021

Abstract
With the development of computer technology, computer industry needs more and more talents. Therefore, colleges and universities design computer majors to train talents for the computer industry. Integrating computer technology into the teaching of computer majors can break the traditional education deadlock. It brings innovation and entrepreneurship teaching mode to computer professional education.
Analysis of the Main Problems of Furniture Design Rely on Computer
Authors: Chen Yanyun 
Published: May 2021

Abstract
With the development of the times and the improvement of people ’ s living standards, the era of furniture design has quietly come, but traditional furniture design methods can no longer meet the needs of people nowadays. Therefore, many problems have appeared in the process of furniture design. This article mainly elaborates on the problems in furniture design and new furniture design methods.
Design of Information Service System of Urban Bus Terminal under the Background of Mobile Internet
Authors: Chen Yan , Mo Xiaohua 
Published: May 2021

Abstract
With the rapid development of highway transportation industry, the traditional manual passenger transport management mode can no longer meet the requirements of the development of highway passenger transport industry in the new period. From the perspective of passenger service in urban bus terminal, this paper puts forward a design scheme of passenger service information system in passenger terminal based on mobile Internet technology in view of the increasing service demand of passengers and passenger terminal. By using modern computer technology and information technology, the information service system of urban bus passenger station is upgraded, so as to realize timely and accurate collection and transmission of information, maximize information sharing, and enhance the on-site decision-making and command ability of the station. By integrating the information of various modes of transportation, we can realize the way of information sharing and provide high-quality information services for passengers.
Computer Application of Automatic Paint Spraying System for Automobile Vertical Buoy Based on PLC
Authors: Long Haonan , Hong Yaling 
Published: May 2021

Abstract
Based on PLC, the automatic production of automobile pressure plate painting is realized, and the code carrier memory function is used to automatically recognize the automobile pressure plate painting process. In this paper, the automatic painting system of automobile buoys is the research goal. The PLC control technology is used to solve many problems in the process of automatic painting of buoys, such as low work efficiency, high production costs, and high work intensity. Practice shows that the automatic painting system of vertical buoys is extremely Dadi raises the level of the pressure plate spraying line.
Research on the Application of Artificial Intelligence in Music Listening Learning -- Taking Intelligent Hearing Training as an Example
Authors: Huang Yang 
Published: May 2021

Abstract
The integration of AI and intelligent big data can simulate the process of human thinking and reasoning, and realize efficient neural network evolution and algorithm iteration. Its utilization in the field of music education can extend and expand the process of music teaching, and gradually become a powerful teaching assistant and tool. Based on this, this paper first analyses the integration and utilization status of AI and music listening teaching, then studies the utilization of AI in music listening learning, and finally gives the utilization strategy and optimization strategy of AI in music listening learning.
Express Delivery Handling Model Based on Monte Carlo Simulation and Linear Programming in the Background of Cloud Computing
Authors: Cao Ziqi , Chen Zhekai , Zheng Yichen 
Published: May 2021

Abstract
This paper addresses the purchase options for courier companies looking for the type and number of machines to handle couriers, using Monte Carlo simulation and linear programming to simulate the processing of courier companies. The Jacques-Bella test for normality is first used, and the original hypothesis that both the machine processing capacity and the number of couriers given retain the random variables obey a normal distribution. The data are integrated into hourly time units using the principle of additivity of the normal distribution. Problem 1 requires the optimal number of equipment 1 to meet the basic operation demand of the courier company. According to the daily conditions, the article sets linear programming constraints, using Monte Carlo simulation of the number of machines working per hour for 200 cycles and gets the result that 16 machines are required. Problem 2 requires a comparison of the costs of purchasing equipment 2 and equipment 1. Due to the limitations of the work cycle of equipment 2, the article simulates 50 Google cycles to obtain the result that purchasing of three equipment 2 would meet the requirements. Because equipment 1 program costs less, the courier company should choose to buy 4 equipment 1.
Informationization Design of Field Standardized Operation Management System for Medium and Low Voltage Distribution Network
Authors: Lai Shuisheng , Lin Yuhuan , Luo Jiajian , Li Xuechao , Li Shibo 
Published: May 2021

Abstract
The medium and low voltage distribution network system can provide information design according to the needs and usage habits of users, realize a series of service applications based on the management location data provided by the medium and low voltage system, and finally realize the information of distribution network resources. This paper mainly introduces the background and significance of the subject research and the work content and objectives of the subject. Demand analysis mainly introduces the overview of the system and describes the functional requirements; The system design describes the process of system establishment and the function realized finally. The summary part summarizes the development of medium and low voltage technology and the trend of its application in distribution network.
Analysis of Stability Margin of Dynamic Inverse Control Law for Flying Wing UAV
Authors: Wang Yalong , Qi Shenjun 
Published: May 2021

Abstract
The longitudinal and directional stability of flying wing UAV is poor, the coupling of triaxial force and torque is serious, and the control surface is special, so the flight control is difficult and the control law is complex. Taking a flying wing UAV as an example, the control laws of track tracking based on dynamic inverse control method and control allocation are designed. The applicability of traditional stability margin excitation method based on signal generator and pilot’s manual control is analyzed, and a stability margin excitation method based on three-a2xis control decoupling is proposed, which is verified by simulation. The results show that the stability margin of the designed three-axis dynamic inverse control law system meets the requirements, and the stability margin excitation method based on three-axis decoupling is suitable for the stability margin analysis of three-axis coupled UAV.
Multi-task Scheduling of Agvs System Based on Improved NSGA-II Algorithm
Authors: Ren Tingge , Ren Yueyang 
Published: May 2021

Abstract
Aiming at the problem that the AGV energy consumption is not considered in the multi-task mode, a multi-task model is established which takes the total energy consumption of AGV and the total time of tasks out of warehouse as the goal, and the task group reconstruction is realized based on the batch-combination strategy. Then, this paper improves the NSGA-II algorithm to solve the model from the following three aspects: population screening mechanism, pheromone-based crossover, and double mutation operate. The experimental simulation results show that the improved NSGA-II algorithm improves the quality of the solutions, and meanwhile improves the stability of the algorithm compared with theoriginal NSGA-II algorithm.
Design of the Motion Control Hardware System of The Geotextile Paving Trolley for Tunnel Construction
Authors: Ha Jianbo , Liu Xingbo , Wu Xiangbin 
Published: May 2021

Abstract
The tunnels mostly use geotextile and waterproof board laying for waterproof construction. At present, most of the geotextile laying uses simple bench and manual laying method, which has many potential safety hazards, and the construction quality and construction efficiency are not high. This paper analyzes some tunnel structures and waterproof construction methods in our country. Based on the tunnel geotextile laying trolley, the hardware system of the trolley motion control system is designed. This system includes controller, HMI, actuator drive device and sensor device. Finally, experiments and debugging were carried out with the software system, which verified the completeness and reliability of the system functions.
Design of Motion Control Software System of Geotextile Paving Trolley for Tunnel Construction
Authors: Liu Xingbo , Ha Jianbo , Wu Xiangbin 
Published: May 2021

Abstract
In tunnel waterproofing construction, the method of laying geotextile and waterproof board is generally used. Because the geotextile material is relatively soft, and it is not easy to shape, which brings great inconvenience to the work of construction personnel. Through the analysis of the tunnel waterproofing construction process, based on the tunnel construction geotextile paving trolley, the software system of the trolley motion control system is designed. This system includes the controller program design and the man-machine interface design, and finally cooperates with the hardware system. Debugging verified the system function and the reliability of the equipment.
A Classification Method of Acupoints and Non-acupoints based on Traditional Features and Wavelet Features
Authors: Zhang Xin , Zhang Xing , Wang Xin’an , Li Qiuping , Qiu Changpei , Liu Zhong 
Published: May 2021

Abstract
Meridians and acupoints are the basis of TCM theory and play an important role in disease diagnosis and acupuncture treatment. There are still many problems in current research on electrical signals of acupoints. On the one hand, most of the studies did not consider the integrity of the meridian, but only based on a few acupoints. On the other hand, the lack of targeted feature extraction and classification methods leads to unsatisfactory classification results. Considering the above problems, a method combining traditional features and wavelet features is proposed to classify acupoints and non-acupoints. Based on the integrity of the meridians, we first collect the body surface electrical signals of some acupoints and non-acupoints on the twelve meridians of the human body, and then extract traditional and wavelet features from the measured signals. Finally, SVM and XGBoost are used to classify acupoints and non-acupoints respectively. The experimental results show that this method can effectively improve the classification performance of acupoints and non-acupoints, and for the feature vectors constructed in this paper, XGBoost has better classification capabilities.
Human Pulse Signal Acquisition System Based on PVDF Piezoelectric Film
Authors: Zhou Bing , Wang Xin’an , Li Qiuping , Qiu Changpei , He Jianrong , Zhu Yubo , Wang Hu 
Published: May 2021

Abstract
Nowadays, traditional Chinese medicine (TCM) is attracting more attention. As the most complete methods of pulse diagnosis, the method named ‘three regions nine subdivisions’ has come to the fore. It is important to collect accurate pulse signals in this way. Hence a pulse signal acquisition system is developed, which includes a pulse sensor based on PVDF (Polyvinylidene fluoride) piezoelectric film, charge amplifier, low-pass filter, voltage amplifier, voltage follower, and a software system based on LabVIEW for controlling the acquisition process and storing data. And PVDF piezoelectric film has suitable performance for this system which as a new kind of polymer piezoelectric material. Finally, the experiment results demonstrate that the system can extract effective pulse signals without heavy pressure, laying a solid foundation for the subsequent analysis on pulse signals.
A Multi-channel ECG Acquisition System Based on FPGA
Authors: Zhu Yubo , Wang Xin’an , Qiu Changpei , Li Qiuping , Cao Xuan , Zhou Bing , Wang Hu 
Published: May 2021

Abstract
To collect accurate human Electrocardiogram (ECG) signal in complex scenarios and use them for subsequent disease pathology analysis by our laboratory team, we have designed a multi-channel acquisition system with adjustable gain, easy portability, and adaptability to most applications. The whole acquisition system is divided into the Electrode Group, Analog Front End (AFE), and the Data Storage System(DSS). The AFE uses a secondary amplification circuit as well as band-pass filtering and notch filtering circuits. The data storage side is an FPGA-based system design that realizes the functions including AD conversion, real-time display, and storage of data. Experiments show that this system can realize multi-channel and portable acquisition and storage of ECG signal under complex scenarios.
Research on Adaptive Grasping of Robotic Manipulator with Depth Visual Perception
Authors: Liang Wenjiang , Zhu Honglin , Zeng Haisen , Xiong Yongchuan , Lu Chengya , Emu Luoqian 
Published: May 2021

Abstract
Aiming at the problem of poor grasping performance and low repetitive teaching efficiency when traditional machine vision-based robots are facing the grasping tasks of objects with unknown heights, an adaptive grasping method of robotic manipulator based on depth visual perception feedback control is proposed. The RGB-D image is acquired through the depth camera, and the embedded computing device is used to process the RGB-D image based on ROS(Robot Operating System) to obtain the object positioning information. Finally, the coordinate information of the object is used to control the joint motion of the robot to perform the grasping task. The experimental results show that the method is robust and requires a small amount of data, and it can grasp the target object with unknown height without teaching.
Real-time Monitoring of Fluidized Bed Agglomerating based on Improved Adaboost Algorithm
Authors: Pang Junqiu , Zhao Zhong 
Published: May 2021

Abstract
Absctract: In order to to detect the polymer agglomeration in fluidized bed reactor (FBR), a method of real-time monitoring of agglomeration in fluidized bed polyolefin reactor based on voiceprint feature recognition is developed. First, the acoustic emission detection technology is applied to collect the acoustic signal generated by the polymer collision on the inner wall of FBR. Then, the voiceprint features of the collected acoustic signal are extracted with the Mel Frequency Cepstrum Coefficients (MFCC) and the Linear Prediction Cepstrum Coefficients (LPCC). To classify the extracted voiceprint features, an improved Adaboost algorithm is proposed to establish the real-time agglomeration classification model. Due to the introduction of cost factor and Gini index decision-making calculation to the Adaboost algorithm, the proposed improved Adaboost algorithm can classify unbalanced small samples with better accuracy and F-score index compared with the traditional Adaboost algorithm. The experiment results in a fluidized bed pilot plant have verified the effectiveness and feasibility of the proposed method.
Minimization of Energy Consumption for Routing in High-Density Wireless Sensor Networks Based on Adaptive Clone Elite Genetic Algorithm
Authors: Xiao Jing , Li Chaoqun , Zhang Yao , Zhou Jie , Liu Yang , Yang Rui 
Published: May 2021

Abstract
High-density wireless sensor networks (HDWSNs) perceive environmental information through sensor nodes, connects data to the network, and is widely used in environmental detection, intelligent control, and military fields. Since sensor nodes are usually randomly distributed in the environment and have limited energy, ensuring the energy supply of these nodes is still a difficult problem to solve at present. Therefore, how to effectively reduce network energy consumption, improve algorithm efficiency, and extend network life time is the main problem to be solved by QoS routing in HDWSNs. This paper proposes an adaptive clone elite genetic algorithm (ACEGA) to reduce the energy consumption of HDWSNs routing. The algorithm uses clone operators and elite operators to speed up the convergence speed, and uses adaptive operators to enhance the global search capability of the algorithm. To verify the effectiveness of ACEGA, we compare ACEGA with particle swarm optimization (PSO) and simulated annealing (GA). Simulation results demonstrate that the execution performance of the ACEGA outperforms SA and PSO. In addition, the system energy consumption of HDWSNs using ACEGA is also lower than that of SA and PSO. Therefore, the algorithm we proposed effectively reduces the routing consumption of the entire HDWSNs system.
A Novel Sensor Task Allocation Method Based on Quantum Elite Shuffled Frog Leaping Algorithm in IWSNs
Authors: Xiao Jing , Liu Yang , Zhang Yao , Zhou Jie , Li Chaoqun , Yang Rui 
Published: May 2021

AbstractMaximizing the efficiency of sensor task allocation has long been a question of great interest in industrial wireless sensor networks (IWSNs). In IWSNs, different tasks performed by different sensors produce varied benefit values. The purpose of this paper is to obtain the optimal task allocation scheme of IWSNs. Therefore, we design a sensor task allocation model, and propose a quantum elite shuffled frog leaping algorithm (QES-FLA) for optimizing the task allocation in IWSNs. The proposed algorithm combines the quantum operator and elite operator to achieve better performance. By using the concept of quantum probability amplitude and quantum revolving gate, the algorithm can search the solution space in parallel, thus enhancing the efficiency of solving the task allocation problem in IWSNs. In addition, the elite operator keeps the optimal individual in the population, which ensures the performance of the algorithm. Subsequently, the proposed algorithm is compared with two other popular heuristic algorithms to make the conclusion more convincing. According to the simulation results, the algorithm we proposed has higher task benefits and better performance, thus it successfully solves the sensor task allocation problem in IWSNs.
China’s AI Technology and Policy Implications
Authors: Li Wensheng 
Published: May 2021

Abstract
In recent years, China has made great efforts to develop artificial intelligence(AI), with its application gradually expanding. In the political environment of China, the development of AI is closely related to the direction of the government. AI technologies and their supply models are affected by policy. This paper focuses on summarizing the main applications of China’s artificial intelligence market, related technologies and related policy background, and predicts its future market direction based on its upstream and downstream models.
A Redundant Sensing Elimination Technique for Improving Energy Efficiency of IoT Sensor Networks
Authors: Cho Doosan 
Published: May 2021

Abstract
Various sensor nodes used in IoT network systems composed of electronic devices perform various control tasks using the results measured by the sensors. At this point, if these sensing tasks are smartly assigned and performed, the energy consuming efficiency of the entire networked system can be improved. That is, since each sensor node constituting the IoT network system performs redundant sensing and control devices, it is possible to improve the network’s energy efficiency by appropriately assigning and removing such redundant sensing tasks. In particular, the indoor illuminance sensor is installed in various devices such as automatic light switch systems, smart phones, and tablets. It is desirable that only one sensor node among them participates in the actual sensing task. In a smart home, redundant sensors and controllers are used repeatedly in refrigerators, heaters, TVs, artificial intelligence speakers, ventilation facilities, and smartphones. These redundant sensing and control signal generation lowers energy consumption’s efficiency. This study proposes a technique that can properly eliminate unnecessary and redundant sensing tasks that occur when such on the flown IoT network system is built. As a result, it has been shown that the efficiency of energy consumption can be improved in the entire IoT sensor network system.
Fundamental Lower Bounds on Number of Random Measurements for Sparse Tensor Signal Reconstruction
Authors: Tian Yuan , Huang Xin 
Published: May 2021

Abstract
This paper deals with a fundamental aspect of the problem of robustly reconstructing sparse tensor signals via convex optimization in random setting. The traditional vector signal model is extended to tensor model and tensor-space based probability analysis methods are applied to establish the critical results. In particular, by means of an innovative tensor width estimation and asymptotic convex geometric analysis, fundamental lower bounds on number of random measurements to guarantee high successful reconstruction probability are established. In comparison with most current works based on vector signal model (1-order tensor), these bounds establish foundations to develop effective algorithms for reconstructing high-order sparse tensor signals which are emerging in various data-intensive intelligent signal processing applications.