bluuebunny/crossref_metadata_2025 huggingface dataset:
A node-centric network congestion estimation method considering average spatio-temporal scale
Authors: Wen Guoyi , Huang Ning , Zhu Juxing
Published: November 2019

Congestion estimation is a significant issue to analyse and mitigate network congestion. Many researchers have used various estimation methods based on the load data of roads in a single moment. However, congestion is always node-centric and formed around intersections gradually. An estimation method to describe the average congestion around intersections or nodes is also valuable and needed to discover the most congested parts but is absent according to our literature researches. In this paper, we propose a node-centric network congestion method, which can evaluate the average spatio-temporal congestion scale around nodes. Based on the widely used simulation platform NetLogo, the simulation results have proved the reasonability of the proposed estimation method by the stable values of the fixed traffic network intersections, which becomes increasingly stable as time goes on, and it is found that the node-centric values calculated by our estimation method is more stable than the values by the edge-centric because of its superiority. This node-centric network congestion estimation method considering average spatio-temporal scale will be widely used because of its simplicity and universality.
Integration of Vibration Acceleration Signal Based on LabVIEW
Authors: Qihe Liu
Published: November 2019

In vibration measurement, the measurement of acceleration is more convenient than that of displacement, but the observation of vibration displacement is more intuitive than that of acceleration. In order to convert acceleration signal into displacement, the traditional method is time domain integration, but there is trend term problem in time domain integration, while there is no trend term problem in frequency domain integration. Firstly, the algorithm of time domain integration and frequency domain integration is analyzed. Based on this algorithm, a program is programmed based on Labview 2015. The simulation results of time domain integration and frequency domain integration are compared by using this program. The results show that frequency domain integration can recover waveform better. In practical measurement and analysis, frequency domain integration is better than time domain integration.
Practical Research on Mechatronics Technology in Intelligent Manufacturing
Authors: Wang Dawei
Published: November 2019

This paper analyzes the related content of mechatronics technology, combines the current development status of intelligent manufacturing and the practice of mechatronics technology in intelligent manufacturing, and improves people’s practical content in intelligent manufacturing by studying the practical content of mechatronics technology in intelligent manufacturing. The cognitive ability of mechatronics technology promotes the stable development of the industry economy.
Simulation and implementation of DPWM algorithm for NPC three-level inverter
Authors: Hang Xia , Jie Zhang
Published: November 2019

The application of discontinuous pulse width modulation (DPWM) in high-power inverters can effectively improve the equivalent switching frequency of the inverter and improve the control performance of the system. In this paper, the DPWM3 algorithm of NPC type three-level inverter is researched in detail from the judgment of the sector where the reference vector is located, the calculation of the action time of the space vector, and the selection of the switching sequence. Finally, simulation and experimental results verify the rationality of the proposed algorithm. It provides a certain reference value for the research of NPC three-level inverter discontinuous pulse width modulation algorithm.
Research on Standard System Architecture of Metrology Technology for Energy Interconnection*
Authors: Shuming Shen , Yongjia Zhou , Yongjin Xu , Xunan Ding , Xiqiang Song , Pingping Wang
Published: November 2019

Based on the strategic goal of building the world-class energy internet enterprise in China, combined with the important content of widespread power internet of things, it analyzed the new demand and development direction of the metrology technology under the new situation. A kind of measurement standard architecture that can support the energy internet need is proposed based on the existing measurement system architecture, the contents of relevant standards that need to be revised or added in each layer of the system (device layer, communication layer, interoperability layer, security layer, system layer) are specifically studied, which provides guidance for the promotion and revision work of relevant standards, promotes industrial technological innovation, and supports industrial optimization and upgrading.
Storage Reliability and Safety Analysis of SLMs
Authors: Wang Shaolei , Zhou Yuan , Xu Jianguo , Chen Chen
Published: November 2019

Based on the analysis of the factors of ship storage environment which have adverse effects on the reliability and safety of missile storage, the design scheme of missile storage environment monitoring and control system in missile cabin is put forward. Through on-line monitoring of missile cabin environment monitoring system, the safety of missile and the storage reliability of missile can be guaranteed.
Prediction of Virtual Machine State Based on BP Neural Network
Authors: Li Jian Ping , Sun RuiNan
Published: November 2019

Monitoring software for kernel-level rootkit malware in the cloud computing environment has been relatively perfect. However, these monitors can only ensure the security of virtual machines in the cloud environment, but cannot make a more accurate judgment on the future state of virtual machines. Kernel virtual machine for cloud computing environment safety status of prediction is affected by the impact factors of nonlinear, the traditional forecasting model is based on statistical methods, although dynamic allocation model can be used for the prediction, t the ability to overcome the non-linear influence is poorer, predicted results already can not meet the accuracy requirement of the Internet of things. In order to more accurately predict the cloud computing environment of virtual machine core security status in the future, based on the BP neural network in the virtual machine future state prediction model, and through factor analysis and factor analysis results normalized processing to reduce the size of the input data of BP neural network, the neural and network prediction time. Finally, by processing and simulating the data obtained by libvirt program, the feasibility of the model is verified. It can be seen that the model has a good prediction effect on the future state of the virtual machine.
Virtual simulation of zero-point alignment for industrial robots
Authors: Wang Yanwu , Shen Bin , Li Longteng
Published: November 2019

Zero-position regulation training is a compulsory course for industrial robot training. Generally, the zero-point regulation of industrial robots was completed by beginners through the actual equipment. However, the training based on practical equipment was restricted by training venues, training scale, and equipment reliability. It can’t satisfy the requirements of actual training. A wider training environment of robots was provided by the technology of virtual simulation in this paper. And the problems of complex equipment and expensive price in the practical process can be solved effectively. Virtual simulation of zero alignment of Kuka industrial robot is an important subject. The performance of trajectory planning and kinematics were studied. And the accuracy was verified in the paper. This paper gives A brief description of zero alignment were assumed by the paper. A three-dimensional model of Kuka industrial robot was built by SolidWorks, 3DMax and other three-dimensional software Its main characteristics were analysed based on the 3D model. And the zero alignment of Kuka industrial robot was simulated by the virtual reality software. In addition, the virtual simulation environment and the main function of the system were constructed. The project was debugged at last.
High-precision magnetic encoder module design based on real-time error compensation algorithm
Authors: Shen Hongcai , Wang Mingjiang
Published: November 2019

The continuous development of industrial automation requires more and more control precision for automated control systems. As a key component of the servo motor control system, the encoder has a great influence on the accuracy of the control system. Although the common photoelectric encoder has relatively high precision, its control structure is limited by these unfavorable external environments due to its complicated structure, difficulty in integration, and vulnerability to external environments such as dust, oil, water vapor, and vibration. A high-precision magnetic encoder design based on error compensation algorithm proposed in this paper can not only effectively overcomes the influence of these unfavorable conditions, but also introduces an error compensation algorithm based on ordinary magnetic encoder, which can be compared with ordinary magnetic encoder. The encoder has higher position feedback accuracy and greater stability. it can provide position information with real-time error not exceeding 0.2° within general industrial servo motor speed range. The high-precision magnetic encoder module has low cost, simple structure and easy integration, and also has considerable practical value in the field of industrial automation.
Information acquisition of anterior branches of fruit based on Mask R-CNN
Authors: Zhuo Wang , Longye Xiong , Haishen Liao , Xilong Kang , Changhui Yang
Published: November 2019

In order to obtain the deflection information of the anterior branch to enable the end effector to perform citrus picking in the correct posture, this paper proposes a method based on Mask R-CNN model and centroid estimation for pre-fruit branch deflection information acquisition. The method marks the front of the fruit branches by means of a rectangular-like marking method, and completes the identification of the pre-fruit branches with random posture. The ROI is obtained by the discrete mask obtained for the model, The ROI area is equally divided into two sub-areas for centroid extraction, At last, The two centroids obtained are used to calculate the deflection angle of the fruiting branches. The experimental results show that the recognition accuracy of the model under the test set is 96.44%, the average recall rate is 80.71%, the average deviation of the deflection angle of the pre-fruit branches is 7.4°, and the maximum deviation of the angle is 12°.
Algorithm Research and Hardware Implementation of High Precision Floating Point Exponential Function
Authors: Zou Xiafeng , Wang Mingjiang
Published: November 2019

Exponential function is of great significance for high-precision calculation in computer technology. The study of exponential function plays a very important role in modern communication and signal processing. With the rapid increase of the number of digits in computer computing, the fixed-point representation range is small and limited in practical applications. The floating-point number indicates a wide range of teaching and has a wider range of applications. Therefore, the research direction of this article is the hardware algorithm research and implementation of high-precision floating-point exponential function. The goal is to implement the 64-bit high-precision exponential function hardware implementation in accordance with IEEE754 standard. In this paper, the vector mode in the CORDIC algorithm is used to improve the efficiency of the algorithm by improving the iterative method. The 64-bit floating-point exponential function operation is realized by FPGA, and the accuracy is achieved when compared with the PYTHON operation result.
Comparative Study of Sliding Window Multifractal Detrended Fluctuation Analysis and Multifractal Moving Average Algorithm
Authors: Lai Simin , Wan Li , Zeng Xingjian
Published: November 2019

Sliding window multifractal detrended fluctuation analysis (W-MFDFA) and multifractal moving average detrended method (MFDMA) are two effective methods to study multifractal characteristics of nonstationary time series. Taking the typical BMS signal model as an example, the selection of parameters, calculation accuracy and noise effects of the two algorithms are analyzed and compared. The results show that the calculation accuracy of MFDMA is better than that of W-MFDFA, but the latter is not sensitive to the changes of parameters, and has stronger anti-interference ability to noise and better stability. It can provide valuable reference for the research of actual data and the selection of internal parameters of the algorithm.
Numerical Calculation Method of EHV/UHV AC Corona Loss Based on Streamer Theory
Authors: Hu Lei , Pan Wenxia , Li Yi , Yang Wei
Published: November 2019

For the selection and design of Ultra/Ultra High Voltage (EHV/UHV) transmission lines, the calculation of corona losses is very important content of the research. A numerical calculation method of corona losses of EHV/UHV alternating current (AC) transmission lines based on streamer theory is proposed in this paper. In this method, Peek’s formula is not used to calculate the corona onset electric field. Instead, the corona onset electric field is calculated from the physical process of corona production on the surface of the line, and the influence of raindrops on the corona onset electric field is considered according to the law of deformation of raindrops in the electric field. After the corona onset electric field was obtained, corona losses of the wire can be obtained by calculating the ion flow field of the bundled conductors. The result of the example shows that the calculation result of this method is accurate relatively compared with the measured values. The calculation method of this paper has certain practical application value for the calculation and study of EHV/UHV AC corona loss in rainy days.
A Study on Control Algorithm for Robots with Multi-degree of Freedom
Authors: Lan Kexin
Published: November 2019

Robotics, a synthetic discipline developed in recent years, is the advanced hot spot of academic research at present. As the important branch of robots, robots with multi-degree of freedom are similar with human beings in intelligence, behaviors and appearance. A robot with multi-degree of freedom can imitate some simple movements of human beings. This kind of robot has many joints and a complex control circuit, and if it owns some functions human beings do not have, its control circuit will be more complex. In this thesis, the model for dynamics of robots with multi-degree of freedom is built based on lagrangian function, and the control law of robots with multi-degree of freedom is designed. Additionally, in Matlab, the numerical model of robots with six degrees of freedom is built according to the method of Joint-link parametric, which verifies the correctness of parametric of robots and the kinematic formula.
Research on Spatial Conceptual Modeling of Natural Language Processing Based on Deep Learning Algorithms
Authors: Wang Jiaqi
Published: November 2019

From the point of view of computer science, especially artificial intelligence, the task of natural language understanding is to establish a computer model. This computer model can give the result of understanding natural language like human. An important aspect of natural language understanding lies in how to express knowledge to the computer, how to express knowledge, and how to establish the connection and reasoning between knowledge, that is, how to apply the brain’s association, reasoning and selection process to the model of language processing. The physical structure and logical structure of modern computers are very clear, but what we need is a set of feasible formal thinking mechanism to enable machines to process natural language information. Deep learning is one of the areas of machine learning that is close to AI. It is analyzed by simulating human brain learning nerves. Deep learning is derived from the study of artificial neural networks and is a structure for learning deep nonlinear networks. By presenting complex function approximations, the input data is distributed and represented, and the ability of the data samples to focus on the essential characteristics of the data set is revealed.
Research on Testability Index Allocation in Smart Substation Digital Metering System Based on Fuzzy Comprehensive Evaluation
Authors: Huang Tianfu , Wu Zhiwu , Guo Zhiwei , Wang Chunguang , Wu Xiang , Sun Mingwei
Published: November 2019

The digital metering system has certain advantages in comparison with traditional metering systems in principle and performance, but the engineering application time is short. At present, there is a lack of research on the testability of digital metering systems. Reasonable determination of testability index allocation is an important issue to be addressed in the test requirements of digital systems. In this paper, the fuzzy comprehensive evaluation method is used to distribute the test index of smart substation system, which makes it more realistic. It can reflect the whole process of test distribution objectively and truly. Finally, combining with the communication network subsystem of substation, the proposed method is used to verify the testability distribution method, which shows that the method is feasible and effective.
An overview of unmanned vehicle path planning algorithms
Authors: Cui Jiajun
Published: November 2019

This paper summarizes the methods of global path planning and local path planning. By analyzing the recent improvements of RRT and VFH algorithms made by scholars, this paper gives answers to some existing problems in path planning, and then illustrates the effectiveness of these improved algorithms.
Improved SLAM closed-loop detection algorithm based on DBoW2
Authors: Zhang Qingsong , Xu Guanghui , Li Na
Published: November 2019

In order to solve the problems of dbow2-based closed-loop detection algorithm, it is necessary to determine the appropriate level of dictionary tree and K value of clustering algorithm according to experience in advance. First, the new algorithm obtains the initial image feature clustering of training set by k-means ++ algorithm within the search range of cluster number (H, L). Secondly, by merging the form of similar classes, the cluster number is gradually reduced until the CRI function converges. Finally, the clustering value at this point is the best clustering value adopted by the training set to train the dictionary tree, and the clustering is repeated until the complete dictionary tree is generated. The feasibility of this algorithm is verified through experimental analysis, and the new method proposed can solve the problem of dictionary tree generation of training sets under different backgrounds, which plays a very important role in closed-loop detection based on visual image similarity detection, and has certain theoretical and practical reference value.
Clock Network Synthesis Based on Clock Mesh Technology
Authors: Tao Yi , Li YuJing , Yang Wu
Published: November 2019

Circuit Synthesis plays a very important role among all the digital integrated circuit backend design flow. For the purpose of reducing the clocks latence in the design flow, based on the traditional clock network synthesis method, this paper demonstrates a clock synthesis method, which based on clock mesh technology using IC Complier tool.
Detection of weak Modulation signal by Digital Phase-locked Amplifier
Authors: Weiming Wang , Shengyuan Mao , Xiangdong Luo
Published: November 2019

In the signal detection of two-dimensional material light modulation spectrum, the modulation signal is very weak and often submerged in the noise, so it is difficult to detect the modulation signal in the research. In order to detect weak modulation signals, according to the principle of digital phase lock amplification, this paper realizes the orthogonal digital phase lock method in MATLAB, and studies the extraction of modulation signals in the optical modulation spectrum. The results show that when the average noise is 20 μV, the digital phase-locked amplifier can effectively extract the modulation signal of 1 μV. When the amplitude, phase and type of modulation signal change, the extraction of modulation signal will not be affected.
Research on Intelligent Remote Physical Education Teaching System
Authors: Li Junhong
Published: November 2019

The current intelligent physical education teaching remote system has a certain gap from the whole to the physical education, on the one hand, the function of the long-distance teaching system is not fully exerted, and on the other hand, the teaching quality of the long-distance sports is affected. In addition, the traditional remote sports teaching system has the problems of intelligence, poor individuation and lack of interactive means. According to the need of physical education, based on the agent technology, the intelligent and remote physical education teaching system, the intelligent and the individuation of the long-distance education system are designed, and the teaching effect of physical education is improved.
Research on LDPC Coding Cooperative System Based on Intelligent Joint Iterative Decoding
Authors: He Yifeng , Rong Guozhi , Duan Zhemin , Li Xin
Published: November 2019

Gain of multi-relay coding cooperation. As the number of joint iterations increases, the bit error rate performance increases rapidly, which is significantly better than the coding non-cooperative system under the same conditions. The source output should be represented with as few binary digits as possible. Various noises and interferences in the channel are the main causes of bit errors in digital communication system receivers. Collaborative technology can improve the performance of the system without significantly increasing the system bandwidth or increasing the transmit power, and has attracted more and more attention in the academic and engineering fields.
Design of Multimedia Interactive Courseware Based on Flash
Authors: Hu Xiaowei
Published: November 2019

As an advanced computer-assisted instruction teaching methods, its flexibility, intuitive, real-time, three-dimensional advantages, more and more by the majority of teachers and students of all ages. To make good use of computer-assisted instruction in this modern teaching methods, the key is to design and manufacture to meet the teaching requirements of multimedia courseware. Multimedia courseware is used to assist teachers in teaching tools, creative people based on their creativity, starting with general information on the classification of the organization, then the text, images, animation, audio, video and other media clips in both time and space integration, so that they blend and give them the interactive features to produce a variety of colourful multimedia educational software.
Research on the Mashup Behavior and Evolutionary Patterns of Enterprises in an Incomplete Information Environments
Authors: Fu Jing
Published: November 2019

Starting from the actual background of building industry KB (knowledge base) process of mashup, this paper concerned the influence of bounded rationality and made the usage of an evolutionary game model. Based on prior work, this paper has constructed two different types of asymmetrical core competences of enterprises by anticipated additional net payoff, net partition coefficient, preparation costs and mutation probability and other factors. First, the “prisoner’s dilemma” problem came out. Second this paper do static analysis of non-cooperative game and then seek the ESS (Evolutionary Stable Strategy, ESS) of evolutionary game model. Ultimately, the evolutionary paths are analyzed from the perspective on spatial dimension and time dimension of mashup. At last but not least, a series of corresponding management enlightenments are given out based on the above analysis.
Framework of Software Testing Based on Cloud Computing
Authors: Yuan Haigen , Li Hongli
Published: November 2019

For the problem that efficiency is low and cost is high existing in the traditional software testing method, this paper tested software using cloud testing technology. It introduced related technologies including cloud testing, and described the design of overall architecture for the system in details, designed and implemented the scheduling module using a high priority first scheduling based on dynamic priority. The MATLAB simulation results are that the total turnaround time of the scheduling algorithm in this paper is short when the same tasks are scheduled and increase slowly when the number of tasks is increased than traditional FCFS. This shows that this scheduling algorithm could reduce test cost and realize the automation of software testing under the condition of significantly improving test efficiency and resource utilization.
RETRACTED: Research on the Construction and Service Mode of Digital Library Based On Cloud Computing
Authors: Zhou Donghua
Published: November 2019

Cloud computing is a data processing process based on the transmission capacity of the Internet, and it provides a certain development opportunity for the construction of digital library at the current stage through the information transformation between the relevant servers of the personal computer and the Internet computing cluster. In this paper, starting from the concept of cloud computing technology, and then discusses the problem of cloud computing technology in the library application, so as to promote the quality of cloud computing technology in the library application.
Discussion on 3D Visualization Model of Geological structure
Authors: Ming-li Bi , Xiao-gang Xue , Cai-hong Li , Guo-qiang Chen
Published: November 2019

This is the basis of the formation of the whole 3D geological model. The geological structure surface model subsystem is mainly based on the geological structure surface data provided by the borehole and the virtual borehole. The Delaunay triangulation algorithm is used to construct the TIN model to fit the geometric structural surfaces of various geological objects, such as stratigraphic interface and fault plane. 3D visualization modeling of geological structure is a complex problem, which needs to be explored continuously. The research and application show that the idea of 3D geological modeling based on GOCAD breaks through the limitation of two-dimensional representation of complex terrain surface and underground structure. A more intuitionistic and accurate 3D geological model is provided, which meets the practical requirements and is gradually popularized in application.
A Novel Research on Real-Time Intrusion Detection Technology Based on Data Mining
Authors: Yang Kui
Published: November 2019

With the wide application of network technology and the continuous development of network economy, network security issues are also increasingly prominent, it gives the network itself and the information system based on network has brought great threat. Adaptive detection based on data mining is the development trend of intrusion detection system, it can adapt to different network environment, and does not depend on expert training data. Based on the reference on the basis of predecessors, this paper proposes a real-time intrusion detection system based on data mining framework structure. Research based on data mining technology, with adaptability and real-time detection function and the structure of the distributed intrusion detection system, to promote the network information security technology and products to develop in the direction of the omni-directional three-dimensional testing and national information safety inspection work is meaningful.
Research Progress Discussion on Deep Language Signal and Information Processing
Authors: Wang Chunmei
Published: November 2019

This article focus on the progress discussion of deep speech signal and information processing. It will combine theory with practice, and deeply analyze the research progress of speech recognition technology, speech blending technique, and speech intensified technique. Based on the big data and cloud computing, the conclusion of valuable information can be effectively identified through deep speech signal and information processing technology. Hope it will help the relevant units.
Research on Computer Network Structure Service Oriented to Advanced Manufacturing Technology
Authors: Lu Zaigui
Published: November 2019

With the rapid development of computer network technology today, computer network services is not only easy to accumulate in hardware and software, including the reliability, service standards and service monitoring, service maintenance and technical support etc. Advanced manufacturing technology is to meet the requirements of the times, improve competitiveness, the manufacturing technology continues to optimize and bring forth the new. The manufacturing technology in twenty-first Century is developing towards globalization, automation, greenness and integration. In view of the advanced manufacturing technology in computer network structure, service research, especially in the computer network, the optimization of service quality is above. This paper first introduces the theoretical knowledge of advanced manufacturing technology, advanced manufacturing technology, including advanced manufacturing technology connotation and characteristics; secondly introduces the basic problems of computer network services; and then analyzes the computer network service quality optimization method for the advanced manufacturing technology; finally discusses the computer network service quality optimization model.
Landscape Design and Plant Configuration of Ecological-conserved Garden Based on Modern Information Technology
Authors: Lin Yi
Published: November 2019

With the promotion in human life quality, it puts forward higher requirement on ecological-conserved garden landscape design and plant configuration. Under the support modern information, work in this aspect should done better. This paper makes research on ecological-conserved garden landscape design and plant configuration on the basis of modern information technology.
Hardware Design of Basketball Robot based on Flyback Topology and Verilog HDL
Authors: Xingchen Li , Zhong Meiyu
Published: November 2019

This paper mainly introduces the mechanical structure of the basketball robot and its motion control system. The framework of basketball robot is made of aluminum section 2020, which provides steady support while running. Upper chassis and lower chassis bring the parts closer producing an integration of the whole structure. Motion control of robot depends on a method of using Verilog HDL to generate PWM in order to control the velocity of motor and to detect it. This method is successfully applied to basketball robot.
Design and implementation of pension management system based on Internet of things technology
Authors: Chenyin Lu , Feng Lu
Published: November 2019

The old-age management system based on the Internet of things has integrated the health management information resources of the residents, allowing residents to enjoy medical monitoring services and intelligent health services at anytime and anywhere, and provide unified standardized, specialized and affectionate health inspection, analysis and assessment for the residents of the community. In this paper, the feasibility analysis of system construction is carried out, the system requirements are analyzed from the aspects of system feasibility, business function and business process, and the overall design of the system function is carried out. Finally, the effect of the system is expounded.
The Design and Implementation of Network Assistant System for Physical Education
Authors: Yang Junwa
Published: November 2019

Sports teaching is a bilateral teaching activity, reflected in the process of the practice is very significant, the teaching process teachers should also carry out explanation and demonstration, through the vivid teaching methods to deepen students’ understanding, so that students have a higher and more comprehensive quality, adapt to future sports training and teaching, teaching more advanced the content of training and scientific research and management. The sports network teaching system in this paper, is based on the campus network, the Internet and other hardware based, and the efficiency of the network to play out, spread and the use of network teaching new teaching mode in the real sense, it is at this stage the industry needs to pay great attention to the problem and the solution. This paper describes the teaching effect of computer network technology in the sports teaching, and then combined with the specific application, detailed analysis of user needs; put forward the development scheme of PE teaching network aided system and Realization method. This system adopts the three layer system structure, good scalability, using modular design method, which is divided into teaching resources, online answering, course work and examination of four functional modules, easy to select the object-oriented ASP programming language, development environment and SQL Server database system extended the implementation of these key technologies include file upload processing technology, Active X programming technology and application, the file upload component development technology etc.
Design of English Test Software Based on.NET Framework
Authors: Zhang Xiaoyu
Published: November 2019

With the rapid development of Internet and computer technology, modern education based on the Internet as main means has become the trend of the development of the education today. Although the domestic English testing system gains more and more attention but most universities and colleges’ equipment downtime rate is calculated in manual mode. Even if some of the systems can realize on-time downtime equipment information collection but for the vast majority of the company it is not always possible. In this paper, we design and implement the .NET based software for the English testing tasks. We adopt the state-of-the-art open source library to undertake the task and the result shows that our approach is correct and feasible.
The Research and Implementation of Interactive Media Art Design System
Authors: Kun Chen
Published: November 2019

Interactive media art is an important part of the new cultural industry, is a typical combination of art and technology, which combines visual, auditory, space design, light, electricity and other forms of effect to fresh vibrant feeling. Interactive media art is widely used in exhibition industry, interactive advertising, stage art and performance, interactive games and other fields. China’s interactive media art has just entered a stage of rapid development, there is no ready-made universal interactive media design system, which is the bottleneck of the development and application of interactive media in china. This paper first carries out research on interactive media system involves hardware and software development technology, then explain the interactive media art and design of each subsystem and their design method and implementation process. In this system, we design and implement a set of visual programming model based on node, and develop a friendly interactive authoring environment, visual interactive subsystem and a powerful plug-in system. The main work is as follows: 1) in order to enhance the intuitive and interactivity of the system, this paper studies and implements a visualization programming model based on nodes includes: basic data structure definition, node implementation mechanisms, implementation mechanisms of the scenes and the efficiency analysis of programming model. The model defines the user to carry out the logic of visual programming. With visual programming model based on nodes as the guide, based on Qt library, this paper developed the interactive multimedia art and design system, including: interactive creation environment, plug-in architecture interactive visualization subsystem and system. Interactive create environment to achieve a variety of systems and users to interact with the interface, including the file interface, view control interface, the scene editing interface. The contents of the visual interactive subsystem include: the graphical rendering of the control, the management mechanism of the control and the execution model of the system. Control is a graphical representation of the node, but also a direct manipulation of the user when the object. The system adopts plug-in architecture, and all the function modules are integrated into the main frame of the system through the form of plug-in. 3) based on the main framework of the interactive multimedia art design system, this paper develops a powerful plug-in system. The plug-in system is divided into five categories according to the function: sound, image, video, graphics and mathematical processing. This system has good interactivity and high degree of openness, the art of using the system’s existing function modules can be directly carried out visual programming to create interactive art application, so as to expand the function of the system plug-in professionals can develop personalized functions.
Research and design of education and teaching resource management system based on ASP.NET Technology
Authors: Jin Xin
Published: November 2019

The informatization of career education is an important foundation and part of the reform of career education. The construction of professional education resource library is one of the important contents of professional education informatization construction. There is a lack of unified planning for the construction of teaching resource pool in higher vocational colleges in China. The system software construction investment is less, the content is not system; Teacher education information technology and teaching strategy application level is not high, slow development and other problems. This topic elaborates how to use the base. NET architecture, and SQL Server as the background database system, the development of teaching resource library platform design and implementation process. Based on the actual situation of zaozhuang vocational college of science and technology, this paper makes a comprehensive analysis of the demand of teaching resource management system. Establish a set of teaching resource management system for education teaching in our college, and the informatization level of education teaching. The research content of this paper is as follows: analyze the situation and existing problems of the construction of education teaching resource library in China. Research related technologies required for system development, including Ajax technologies. NET technology, ADO. NET technology. The demand analysis of the system, the realization of the structural model and functional module are described in detail. The system is used for testing in the department of information engineering of the college. Its functions are normal, and it basically meets the needs of normal teaching and course construction.
The design and realization of the management system of college physical education under the network environment
Authors: Yi Wei , Fang Fang
Published: November 2019

With the expansion of the scale of institutions of higher learning, the requirements on the management of physical education gradually improve. In order to improve the management level of physical education in schools, it is urgent to develop a physical education management system in colleges and universities, so as to solve the needs of each college for physical education management and improve the management level. This system adopts the design idea of software engineering, and conducts detailed and detailed research on the system from preliminary material collection, demand analysis, feasibility study, overall design, detailed design, system coding and system test. In the system development design, the application of the current popular ASP. NET development framework, the database aspect used Microsoft’s SQL Server 2008, at the same time added some JavaScript scripts and JQuery framework technology, and finally realized the university physical education management system based on B/S architecture. This paper describes the demand analysis of the physical education administration system, and expounds the design and implementation process of each functional module. The main functional modules of the system include student information management module, teacher information module, teaching plan management module, teaching affairs arrangement management module, student course selection management module, class management module, student performance management module, teacher teaching quality evaluation management module and system management module.
Application of Virtual instrument in demonstration experiment of Electronic Technology
Authors: Wang Heng
Published: November 2019

Virtual instrument has the advantages of high openness and flexibility, short development period and low development cost. It has epoch-making significance compared with traditional instrument. With the development of electronic and electrical technology and network communication technology, as well as computer technology and software technology, virtual instrument will be more widely used on the wings of network. Virtual instrument is a kind of computer instrument system whose function is designed and defined by user, has virtual panel, and its testing function is realized by testing software on the hardware platform with computer as the core. The paper presents application of Virtual instrument in demonstration experiment of Electronic Technology.
Application mode analysis and adaptive design exploration of BIM technology
Authors: Long Min , Li Qun , Guo Yuhua
Published: November 2019

Scientific and technological innovation, energy conservation and environmental protection are the theme of the development of the construction industry, as well as the goal of designing and building modern architecture. BIM is a design tool that has not been popularized in the whole process. In China, it still mostly adopts hierarchical, business object and phased transitional implementation scheme. This study focuses on the phases of BIM in domestic development goals, based on the related literature, combining with the application of BIM in architecture design phase (phase scheme and deepen), by trying to “process” and “open” the application of model analysis, studying the typical BIM technology combined with the localization design process and the architect role change; The characteristics and structural principles of the model reference adaptive design model are studied, and the simulation results show that the model reference adaptive design model with measurable state variables can not only find the adaptive law of parameter adjustment, but also ensure the stability of the system.
Design and Implementation of Wireless Sensor Network Re-encryption Protocol Based on Key Distribution
Authors: Song Huaming , Zhou Jian
Published: November 2019

Since its introduction, wireless sensor networks (WSNs) have been the focus of researchers and have a wide range of applications, some of which involve sensitive and confidential information, which has caused security problems. Due to limitations in memory, energy, and computing power of wireless sensor networks, adding appropriate security to sensor nodes poses a barrier. This paper introduces a new security encryption protocol framework for wireless sensor network. The implementation of this framework will provide effective security for sensor nodes and we prove the effectiveness and superiority of the proposed framework compare with existing research.
Personalized E-commerce Website Construction Based on Data Mining
Authors: Chu Xin , Lv Dan , Zhao Danni
Published: November 2019

With the development of supply chain and logistics, e-commerce system can provide a growing variety of goods and quantity. The traditional website-centered retrieval business model has become a bottleneck restricting the value-added of e-commerce enterprises. Data mining technology enables people to finally understand the real value of data, that is, the information and knowledge contained in the data. For e-commerce enterprises, rich data sources and reliable data collected automatically make it easy to meet the necessary factors of data mining. Web server logs contain a large number of records of users accessing e-commerce systems, and data mining technology is used to process and analyze the data. Create a convenient, fast and personalized e-commerce website to provide a reliable analysis basis for the market positioning, strategy improvement, customer relationship improvement and service quality improvement, so as to improve the competition of enterprises in the market. Force to create better benefits. Through data mining, the analysis of user access behavior, frequency, content, etc., can extract the description characteristics of each user, so as to obtain knowledge about the behavior and manner of group user access.
Comparison and analysis of positioning accuracy between DGPS and GPS
Authors: Yin Gao , Yong Tang
Published: November 2019

By observing the same GPS receiver, getting positioning data of 1000 sets of GPS and DGPS each, the two groups of data were calculated by utilizing the probability and statistics, and the average position of the two was GPS: 38°52′. 111N, 121°33′.029E, DGPS:38°52′.107N, 121°33′.033E, 95% of mean square error circle radius of GPS respectively 6.975015372m, DGPS:3.267239581m. By comparison, the positioning accuracy of DGPS is more than twice that of GPS.
Research on Application of Distribution Automation Terminal Equipment Based on Smart Grid in Power Distribution Automation
Authors: Yang Guohui , Xu Mengde
Published: November 2019

With the improvement of people’s living standard, people’s demand for electricity is also getting higher and higher. Nowadays, distribution automation plays a vital role in smart grid, so strengthening the construction of distribution automation is conducive to promoting the efficient operation of power grid and the sustainable development of power industry. The application of smart grid plays an important role in promoting China’s economic recovery and in promoting the upgrading of China’s power system and technological progress. Distribution automation is an important part of the construction of a strong smart grid. It is a key means to further improve the quality of power supply and improve the reliability of power supply. This paper discusses the composition of distribution automation terminal equipment and analyses its application in power distribution network. It is hoped that the application technology of terminal equipment in distribution network can be enhanced and the automation level of distribution network can be improved.
Research on Management Model of Network Public Opinion Based on Big Data Technology
Authors: Ge Hongbing , Wang Baozhi
Published: November 2019

The national big data strategy not only provides policy support for economic development transformation and technical guidance for social management reform, but also brings opportunities and challenges to the management of network public opinion for the government. In order to systematically guide the practice work of the government to manage network public opinion, this work first analyzed the challenges faced by network public opinion management under the background of big data, and then proposed the mechanism and technology of network public opinion management based on big data.