bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Application of Computer Security Technology in E-commerce
Authors: Wang Shiyu
Published: May 2021

With the rapid development of economy, e-commerce has become a part of people’s life, which has changed people’s way of life. Taobao, Jingdong and other B2B, B2C, C2C trading platforms have changed the traditional way of shopping, which can meet the consumption needs of modern people. Therefore, the 21st century has entered the era of e-commerce. At present, there are many hidden dangers on the Internet, such as stealing information, tampering with information, counterfeiting and so on, which will seriously damage the property security of Internet users. However, e-commerce is inseparable from the Internet, which requires us to continuously strengthen computer security technology (hereinafter referred to as CST). Computer network security has become a key issue of e-commerce, which requires us to constantly improve information security and anti-counterfeiting. Therefore, we have applied a variety of computer security technologies in e-commerce, such as digital signature, firewall, VIP and so on. First of all, this paper analyzes the role of CST in e-commerce. Then, this paper puts forward some problems. Finally, this paper puts forward the CST applied in ecommerce.
Sports——Analysis on the Application of Computer Virtual Reality Technology in College Sports Training
Authors: Ye Lei
Published: May 2021

This paper not only analyzes the application feature and necessity through the practical application program of computer virtual reality technique in domestic universities and colleges, but also explains the important significance of this advanced technology to college sports training through a mass of survey data. It indicates that this technique is practical and effective in college sports training, which can perfect the results and quality of college sports training, perfect the physical quality of students, enhance the attractiveness of sports to students and facilitate the healthy and sustainable development of college sports [1].
Discuss the Application Research of Computer Virtual Reality Technology in College Student Management
Authors: Dong Jiangying
Published: May 2021

With the development of technology, computer virtualization technology has been widely used in all walks of life, and it has greatly promoted the development of various industries. Of course, it also played a great role in promoting education and teaching management. This paper mainly analyzes the specific application of computer virtual technology in teaching management.
Research on the Prediction of Geometric Irregularity of Railway Track Based on BP Neural Network
Authors: Yang Jiang
Published: May 2021

Traditional data analysis methods and methods are difficult to effectively mine and analyze a large number of Rail Geometry state data, which makes the value of data cannot be fully utilized and played. Based on this, this paper first analyses the characteristics of railway track geometric irregularity, then studies the BP neural network prediction method and steps of railway track geometric irregularity, and gives its prediction effect.
Research on the Influence of Network Distance Teaching on the Reform of College Physical Education
Authors: Yuan Mingzhu
Published: May 2021

With the development of computer technology, higher education reforms have made better progress. After the application of computer technology is mature, colleges and universities begin to use computer network distance courses to expand students’ learning resources and learning horizons. This paper mainly focuses on the application and reform influence of network distance teaching in physical education.
Research on Unsupervised Computer Deep Learning Method for Color Image Recognition
Authors: Du Shuqiang
Published: May 2021

With the development of science and technology, face recognition has gradually become the focus of identity verification, which leads to the research of color image recognition. Compared with the traditional gray image, color image contains more information, which requires us to make full use of the complementary information between each color component to remove redundant information. Therefore, color image recognition technology has been an important research field in the field of vision. Unsupervised feature learning (hereinafter referred to as UFL) is an algorithm technology to automatically extract data hidden features, which is an important feature method combined with Deep learning (hereinafter referred to as DL) algorithm. Through the fusion of UFL and DL algorithm model, we can recognize and analyze color images. In this method, we will use self encoder, which can be used as UFL model. By stacking multiple self encoders, we can construct a deep neural network. Then, we can train the network of each hidden layer through unsupervised training, which will optimize the neural network supervised. Therefore, unsupervised learning method has been applied to CNN, which has become an important method in color image recognition.
Research on Information Perception and Interaction Technology of Internet of Things
Authors: Li Kunqin , Wang Lei , Xiong Yan , Tian Feng
Published: May 2021

With the rapid development of today’s society, the continuous application of network technology has been able to gradually meet the pace of social development. The main purpose of this technology is to transmit and store data and information produced by users in their daily production and life. This technology is widely used in reality. Specifically, it refers to the information connection of the Internet of Things in the facilities with sensors in the user’s home, so as to process the data generated by the user in life. We can found that in real life is often the case, the information in the process of pass due to the inaccuracy of data information, leads to the iot on data transmission in the process of information processing, storage, and there will be a lot of the problem, the emergence of these problems will reduce the intelligent level. This technology mainly includes the interaction between the network and the user, the interaction between the network and the content, the interaction between the user and the content of these three main forms. This paper starts from the perception and interaction of the technology, analyzes the advantages and disadvantages of the Internet of Things technology in our life today, and makes a rational interpretation of the technology fundamentally.
Research on the Development of Modern Information Technology for Children’s Physical Fitness Education
Authors: Lei Wei , Yu Kemeng
Published: May 2021

With the change of people’s parenting concept, Chinese residents tend to let children sit in daily life, which will lead to the continuous decline of children’s physical health. Therefore, the detection rate of obesity and overweight of children in China continues to rise, which requires kindergartens to choose a more efficient physical exercise method. Through scientific physical health education, we can guide children to pay attention to physical exercise, which will help them acquire lifelong sports awareness and ability. At the same time, physical health education can promote children’s health, which is also the most effective measure. Therefore, some kindergartens have formed children’s physical education curriculum with the help of modern information technology, which will help children better develop their physical quality. However, some kindergartens also have some problems when introducing physical fitness courses, such as lack of experience, lack of understanding of concepts, curriculum confusion, etc., which will be difficult to fully reflect the development of physical fitness. First of all, this paper analyzes the impact of physical training on children. Then, this paper analyzes the problems of modern information technology. Finally, some suggestions are put forward.
Thoughts on Information Technology’s Transformation of Financial Digital Teaching
Authors: Kuang Cuifen
Published: May 2021

Digital transformation is an important trend in the world economic transformation. Completing the digital transformation of the economy will become an important leap in economic development. This paper mainly analyzes the financial reforms of information technology and digitalization.
Research on Virtual Reference Station (VRS) Technology and Differential Correction Information
Authors: Zhang Zongbao , Geng Changzuo , Chen Dong
Published: May 2021

With the continuous operation of reference stations for various purposes, the system has been built one after another. The network RTK (carrier real-time dynamic positioning technology) composed of multi-base stations has emerged, which solves the limitation of conventional RTK. Although some of these systematic errors can be weakened by the model, their residual can not be ignored. Conventional RTK has some problems in practical application. Differential technology can only eliminate common errors between reference stations and user stations under certain conditions. The emergence of VRS (Virtual Reference Station) technology in network RTK has greatly improved the effective distance of RTK technology. The VRS is characterized by continuous operation of multiple reference station networks and long-distance high-precision real-time positioning. While ensuring that the distance between the base stations cannot be too long and the user’s positioning accuracy is at the same time. Also consider the range of user operations that the system can cover.
Application of Virtual Private Network Technology in University Network Information Security
Authors: Yin Chengrui
Published: May 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Maximizing 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

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

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

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.
Operational Effectiveness Evaluation of Antimissile Early Warning Based on Combination Weighted TOPSIS
Authors: Qu Shi , Zheng Yi , Yan Hua , Deng Weiqiang , Liu Taiyang
Published: May 2021

Operational effectiveness evaluation is of great significance for early warning operation of antimissile, which provides quantitative basis for equipment development, operational planning, combat method research and operational management. In view of the shortcomings of TOPSIS, this paper improves the TOPSIS method. First, before calculating positive and negative ideal solutions, it establishes corresponding standardized methods for different evaluation indexes to solve the problems of inconsistent impact of each evaluation index on operational effectiveness and the “drowning” of small value indexes by large value indexes. Second, it calculates the weight of each index based on combination weighting method to overcome the shortcomings of single subjective or objective weighted method. On this basis, the operational effectiveness evaluation method of antimissile early warning based on combination weighted TOPSIS is proposed, and the quantitative evaluation and comparative analysis of different operational schemes are carried out. The simulation results show that the effectiveness evaluation result of antimissile early warning operation based on combination weighted TOPSIS method is scientific.
Approach on Recognizing Uncovered Earth Region from Aerial Images Based on Multi-feature Fusion
Authors: Zhang Wenxiang , Zhong Yingchun , Xie Linfeng , Wang Bo , Luo Zhiyong
Published: May 2021

It is one of the main hidden dangers of power transmission lines accidents if there is the uncovered earth under or near power transmission lines. It can give the important early warning message to prevent the accidents through recognizing the uncovered earth region from aerial images of Unmanned Aerial Vehicle (UAV) power transmission lines inspection. Due to the low recognizing precision of Mask RCNN CNN (Mask Convolution Neural Network), this paper proposed an approach to recognize the uncovered earth region from aerial images of UAV by image feature fusion. The HOG and LBP features of aerial images were extracted and their dimension were reduced. Then these two features were fused by different weights. The experiments show that, (1) the average precision of recognizing the uncovered earth region can be above 80%, which is the lowest requirement to use; (2) the weights of two features should make the orders of magnitude of the two features as equal as possible. The approach is application for the first image filtering by the UAV airborne platform because it not only has enough good recognizing precision but also is very rapid, which provides a novel way for objective recognition from UAV aerial images.
Security Framework of Artificial Intelligence System
Authors: Yu Rong
Published: May 2021

Artificial intelligence technology not only brings people great satisfaction with the progress of science and technology, but also may bring some social security threats. Therefore, in the face of these social security threats, it is urgent to establish a security framework of artificial intelligence to improve the security of artificial intelligence system. This paper, based on the analysis of social security threats caused by artificial intelligence technology, referring to the traditional security model, proposes an artificial intelligence security framework with security boundary as the core.
Modeling and Simulation Analysis of Multi-modal and Multidimensional Insect Ecological Network Intelligence System
Authors: Luo Guilan , Liu Xuan , Fang Lianbiao , Hao Hongjun , Li Zhongmu , Zhang Mei
Published: May 2021

The purpose of this study is to understand the current situation of insect ecological development in the Erhai wetland and explore the key factors to maintaining the stability of the insect ecological network. The research method is based on complex network, through a variety of angles to realize the insect ecological network modeling and simulation analysis, to study the correlation between wetland habitat and insect community. Then, the parameters and definitions of the multi-mode and multi-dimensional insect ecological network models were given. The components of the insect ecological network structure of different regions were analyzed. The results showed that the changes of ecological environment caused by human activities directly affected the changes of dominant insect groups. At last, through the analysis of structural characteristic parameters and correlation of insect ecological network, the conclusion is that species richness and diversity index are important indicators to maintain the stability of insect ecological network structure.
A Parallel Backbone Networks Structure for Scene Text Detection
Authors: Li Linyuan
Published: May 2021

Text detection in complex scenes is very hard realize by the diversification of text distribution, direction, and typesetting. This paper proposes one scene text detection method with end-to-end structure with parallel backbone network and region segmentation. With multiple deformable convolutions and extracting features of multi-dimensional text regions, multiple candidate regions of different sizes are generated and corresponding states are further given. Experiments show that compared with baseline, this method can further adapt to the problem that the different shapes and angles of the target in the image lead to the decrease of accuracy.
Data Analysis and Discussion on the Reliability of the Control Principle of a Sealed Crude Oil Pipeline
Authors: Liu Junjiang , Feng Liang , Yang Dake , Li Xianghui
Published: May 2021

The current control principles of long-distance crude oil pipeline production and operation are all obtained by theory in the design stage, and lack of on-site actual operation verification. Based on the pigging data of the pipeline put into production in 2017, the simulation software SPS was used to establish the model. Based on the operating data of the pipeline in recent years, the control principles in the preliminary design are checked one by one to verify the reliability of the control principles and propose corresponding improvement suggestions for existing defects. The research results show that the initial control principle of the pipeline has two actual operation defects. One is the low setting value of the water hammer pressure relief valve in the BS station, and the second is the advance protection program error under the failure condition of the MD station; The simulation obtains the set value of the pressure relief limit of each station entry and exit under the principle of advanced protection, and the set value can be adjusted appropriately according to the pressure of the entry and exit pipelines of each station; the response time of each step of the control principle under different fault conditions is simulated, Provide optimization suggestions for some control principles. The above research results can minimize the failure results produced by the failure conditions under the premise of ensuring the effective control principle.
Cloud Computing Bayesian Approach to Study Effects of Binary Stars on Ages of Star Clusters
Authors: Chen Jing , Zhang Su , Li Zhongmu
Published: May 2021

We apply bayesian algorithms to studying the effects of binary stellar population models on the age determination of 46 new star clusters in Gaia DR2. The ages of star clusters are obtained via color-magnitude diagram (CMDs). The data are selected from two works. Our analysis focus on exploring the potential of bayesian algorithm to estimate the effects of binary stars on the parameter determination of star clusters. Our work is based on simple stellar population models of binary stars and single stars. As a result, the bayesian analysis shows that binary stars have significant effects on the determination of ages of star clusters. The models with binary stars report older ages for most star clusters. The age difference between binary-star models and single-star models follows a Gaussian distribution with mean of 1.2 Gyr.
Research of the Relations Among Cloud Computing, Internet of Things, Big Data, Artificial Intelligence, Block Chain and Their Application in Maritime Field
Authors: Han Hecai , Liu Zhengjiang , Wang Xinjian , Li Songyan
Published: May 2021

At the forefront of technological development, cloud computing, the Internet of Things (IoT), big data, artificial intelligence (AI), and blockchain (CTDAB) are not mutually exclusive, but complementary and integrated. The connotative characteristics and correlation of cloud computing, IoT, big data, AI, and blockchain are mainly introduced in this study, and their application in maritime field are summarized. Cloud computing, big data, and AI are the core technologies for realizing IoT technology. Blockchain technology supplements the functions of IoT. The cross-support and comprehensive application of these emerging technologies has started in the process of people’s exploration of the maritime field, which has played a key role in promoting the intelligent development of the maritime field.
Application of Cloud Computing in Network Platform
Authors: Chen Xiaogui
Published: May 2021

With the explosive development of knowledge and the rapid development of various information technology, cloud computing technology, resource allocation and management technology, cloud computing is a business computing model that allocates computing work to a large number of resources. Under this circumstance, the marketing model has undergone tremendous changes, and the traditional profit model is difficult to continue. This has forced the major marketing platforms to change their development thinking and look for new points of profit growth. This article aims to study the application of cloud computing in the network marketing platform. This article mainly uses questionnaire survey method and practice survey method. First, it analyzes the status quo of cloud computing and online marketing platforms at home and abroad, and then conducts online marketing on the platform based on cloud computing. Marketing strategy design and analysis of information needs. Experimental research shows that, whether in terms of business processing time or customer satisfaction, online marketing under cloud computing performs better than traditional marketing, ensuring quality and achieving high efficiency.
Effect of water clover (Marsile crenata) extract within tris-fructose citric glycerol extender on frozen semen quality of boer goat
Authors: Wahjuningsih S , Ihsan M N , Pahlevi R , Pratiwi H
Published: May 2021

The consistency of the semen extender used is one of the deciding factors in the quality of the frozen semen. Water clover extract (WCE) was supposed to retain the semen content during freeze storage with the antioxidant compounds. The objective of this analysis was to determine the impact on the consistency of post-thawed Boer Goat Semen of the water clover extract supplement. The Boer semen was collected from 3 Boer bucks aged at 3 to 3.5 years Boer bucks which weighed at 40 to 42 kg. The semen was obtained by artificial vagina two days a week and the semen used for this research should have at least 80 percent individual motility and feasibility and maximum anomalies of 10 %. The semen was added with WCE at different concentration levels (0, 2, 4 and 6%) by using Tris-fructose citric glycerol diluents as the base extender. The study was done in a randomized way and the results were evaluated using a variance analysis followed by a multiple range test from Duncan. The results showed that a WCE supplementation with Tris-fructose citric glycerol diluent as the base extensor had a significant (P<.05) effect on motility, viability and integrity of plasma membrane but not on abnormalities (P>0.05). The research shows that the best way to preserve frozen boer goat semen consistency was to add 4% WCE in tris fructose citric glycerol.
The association among dominant tree species in mount Halimun Salak National Park
Authors: Denny  , Setyawati T , Kalima T , Wardani M , Zuraida  , Fambayun R A , Susilo Adi
Published: May 2021

Association is a relationship in an ecosystem between living organisms. Positive associations arise when a plant species is associated with other plant species, and negative associations occur under opposite situations. This study aimed to identify the relationship among dominant tree species of the National Park Mount Halimun Salak by producing a permanent 100 m × 100 m plot divided into 25 sub-plots of 20 m × 20 m to store the trees. Smaller sizes of 5 m × 5 m and 1 m × 1 m were nested on each sub-plot to inventory saplings and seedlings. Vegetation research determined the dominant tree species. In addition to an association coefficient, the Association indexes were determined by a contingency table of 2 × 2. The results showed that the composition of vegetation at the tree levels includes 32 families, 46 genera and 61 species; 28 families, 35 genera and 53 species at sapling stage; 24 families with 19 genera and 43 species at the seedling level. The dominant species on the tree level wereAltingia excelsa, Schima walichii, Agathis damara, Engelhardia spicataon the sapling level wereSchima walichii, Altingia excelsa, Litseasp.,Macaranga trilobaon the seedling level wereSchima walichii, Aporosa frutescens, Quercus sundaica, Macaranga triloba. The association analysis showed thatAgathis damaraandAltingia excelsaas wellAgathis damaraandEngelhardia spicatawere very significantly associated negatively.
Genetic characteristics of lobster Panulirus versicolor (Latreille, 1804) from bird’s head seascape-Papua based on cytochrome oxidase subunit 1 (COI) gene
Authors: Dailami M , Toha A H A , Lapadi I , Jeni  , Ambariyanto  , Kilawati Y
Published: May 2021

Bird’s Head Seascape of Papua has high biodiversity. This region is a potential area for lobster (Panulirus versicolor) to grow and breed. This research aim is to analyze the genetic characteristic and diversity of lobster from Papua. Sample of P. versicolor was collected from several locations in BHS, which are Nabire, Wasior, Biak, Cenderawasih Bay, and Raja Ampat. Genomic DNA was isolated and amplified by using Polymerase Chain Reaction methods with primers HCO-02198 and LCO-1490. A total of 684 base pairs of COI genes were sequenced with an average composition of T (32%), C (22%), A (27,8%), and G (18,2%). All sequences are grouped into four haplotypes based on nine polymorphic sites. The Phylogenetic tree shows there is a close relationship among samples from Nabire, Wasior, Teluk Cenderawasih, and Raja Ampat. Based on this result, there is a need for enlarge management of conservation areas and built the marine protected area network in one management. The conservation should not be locally in each region.