bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploration on the application of 3D printing and dyeing patterns in modern clothing visual communication design
Authors: Bo Yan
Published: April 2020

3D printing and dyeing is a widely used pattern processing mode in the new era, which can adapt to the design requirements of visual communication and effectively enhance the aesthetic art taste and fashion of modern clothing. Based on the status quo, firstly, the characteristics of digital printing and dyeing technology are discussed. Secondly, the choice of the visual design of modern clothing is discussed. Finally, the application of 3D printing and dyeing patterns in the visual communication design of modern clothing is expounded. It can effectively improve the overall application level of visual communication design and lay a solid foundation for the progress and development of the fashion design industry.
Research on the layout and value space of China’s 5G industry——Based on the Sino-US “trade war” perspective
Authors: Li Jiarun
Published: April 2020

At present, no matter in the technical field or the commercial field, China has no doubt become the leader in developing the 5G industry. Based on the perspective of Sino-US trade war, this paper analyzes the layout and value space of China’s 5G industry, and believes that technological innovation is the first driving force and an important means to seek a leading position in the international market. Take practical measures from the aspects of policy design, industrial layout and technical standards.
A BOW-Based Sentence Embedding Method for Chinese Event Identification
Authors: Gao Lizheng , Zhou Gang , Luo Junyong
Published: April 2020

Event extraction is an important branch of information extraction. It involves two challenging issues: event identification and argument identification. Most approaches of event identification are trigger-based, which suffer a lot from sample imbalance, word ambiguity, low scalability, etc. To solve these problems, we attempt to explore sentence-based event identification, whose main issue is sentence representation. With the success of word embedding, it has attracted much attention to generate semantic embeddings of sentences. In this paper, we propose a simple BOW-based sentence embedding method to represent event sentences for Chinese event identification. We compute embeddings on the dependency tree and map different relations to simple arithmetic operations. We evaluate our method with a dataset of Chinese event identification and compare the result with other BOW-based methods. The results show that our approach significantly outperforms other BOW-based methods.
Application of D2D Communication System Based on Android and JXTA on the Internet of Vehicles
Authors: Lunyuan Cao
Published: April 2020

This paper introduces the development prospect of the Internet of vehicles. By combining D2D technology with cellular networks, the problem of the increasingly scarce spectrum resources of traditional cellular networks is solved. D2D Communication System based on Android and JXTA is realized by designing network topology and network settings, peer discovery and instant messaging modules and applied on the Internet of Vehicles to achieve an intelligent transportation system with high security and reliability.
Study on the knowledge dissemination efficiency and influence factors of electronic technology journals community based on the DEA-Tobit method
Authors: Peng Huiling , Qu Hui , Li Ping
Published: April 2020

[Research objective] The construction of the journal community as the key content of the development of electronic technology, is of great practical significance to research knowledge production and dissemination efficiency of the journal community.[Research methods and data sources] This paper, by using DEA-Tobit model and in combination with the Chinese S&T Journal Citation Reports (Expanded Edition), focuses on the evaluation of the knowledge dissemination efficiency of electronic technology journal communities from the perspective of knowledge exchange, and demonstrates and studies the factors that affect the knowledge dissemination efficiency of journal communities.[Conclusion](1) Generally speaking, there is still 31% optimization space for the knowledge dissemination performance of the electronic technology journal community, and the low scale efficiency value has a large impact on it. (2) Journals such as Electronic Products, Light & Lighting, Journal of University of Electronic Science and Technology of China, and Journal of Chinese Electron Microscopy Society have relatively high knowledge transmission efficiency, and the value of technical efficiency, pure technical efficiency, and scale efficiency of those journals are equal to 1. (3) The academic quality of journal papers is the key variable to influence the electronic technical journal community knowledge dissemination efficiency; the duration of the journal and the economic status of the journal location are also positive factors affecting the effectiveness of journal knowledge dissemination; factors such as the degree of journal cooperation, the internationalization level of journals, and the institutional distribution of journal articles have a limited impact on the effectiveness of knowledge dissemination in the journal community. In addition, in view of the lower time-sensitive of the electronic technology literature, the overall influence of the novelty of the literature used by authors, which is measured by “cited half-life”, on the performance of knowledge exchange is quite different from expectations.
Image Processing of Large-Scale Pollution on Water
Authors: Zhao Qianqian
Published: April 2020

In order to improve the monitoring of water surface environment, the image processing of large-scale water pollution is proposed. First, UAV was used to take aerial photos of the area to be cleaned on the water, and the obtained image was preprocessed with saturation enhancement, etc. Then the image was segmented into image segmentation or edge detection to distinguish the foreground from the background. This experiment used three widely used segmentation methods to process the selected aerial image. The three methods are: threshold segmentation, region-based segmentation and morphological gradient detection.
Research on Intelligent Signal Timing Model Optimization Based on Deep Learning Thought
Authors: Zhang Xin , Song Yinghua , Liu Dan
Published: April 2020

Aiming at the problem of traffic congestion and traffic jams at intersections, this paper proposes an optimized control system for automatic timing of traffic lights.Based on big data and deep learning ideas, the number of vehicles parked at intersections in a signal cycle and the signal cycle time are used to calculate the number of vehicles parked at intersections in the next cycle. According to the number of vehicles parked, the green time of the signal light is obtained, and an optimization model of the signal light is established.The model aims to maximize the traffic capacity at the intersection and minimize the delay time.Finally, the model is simulated by python, and the obtained data is compared with the data under the control of traditional signal lights.
Detection of Man-made objects along the High-speed Railway Based on High Resolution Remote Sensing Images
Authors: Feng Boqing , Wang Yaoyao , Gao Fan , Tan Qulin , Jiang Lili , Hu Jiping , Wang Yingjie
Published: April 2020

The condition along the high-speed railway is very important for the safe operation. In the paper, man-made objects along the high-speed railway are used as detecting targets. The paper analyses the existing forms of hidden dangers which are caused by man-made objects along the high-speed railway and what harms they could bring to operation of the high-speed railway. The method of detecting man-made objects along the high-speed railway based on high resolution remote sensing images is studied using remote sensing image classification. According to the established method which is suitable for detecting man-made objects along the high-speed railway, firstly detecting and extracting man-made objects along the high-speed railway, and improving classification accuracy by GIS vector data. Then, using the method to detect man-made objects along the Xuzhou section of Beijing-Shanghai high-speed railway based on GF-3. The results show that there is hidden danger of the plastic house, which proves the effectiveness and practical significance of the method.
Determination of Maintenance Time of Radar Seeker Based on ABC Method
Authors: Jiong Yue , Weimin Lv
Published: April 2020

According to the health state grade classification standard of seeker and the corresponding performance state description, the health state grade corresponding to the predicted value of performance index parameters of transmitter and antenna servo mechanism is evaluated. As a result, the health status grade of the seeker system is obtained. In order to determine the maintenance time of the seeker more accurately, the comprehensive performance index of the seeker in the stage of “deterioration” is divided by the application of ABC analysis rule. Finally, the best maintenance time of seeker is determined by calculation.
Design of Real Time Communication Software Based on ReWorks Operating System
Authors: Zhang Jianwei , Tian Xingke , Man Yi
Published: April 2020

This paper briefly introduces the functions and characteristics of the embedded operating system ReWorks. Aiming at the design requirement of real-time communication software, the task mechanism of ReWorks operating system is analyzed, the design process of real-time communication software is given, and the software development and debugging process using ReDe integrated environment under ReWorks environment is introduced. The data transmission and communication of the vehicle information system are realized.
Business Steward: Definition, Mode and Influence
Authors: Qi Kailong
Published: April 2020

This thesis firstly puts forward the concept and definition of business steward, who is professional service staff to help employers and customers manage business. Similar to the “intelligent +” transformation of traditional retail, catering and manufacturing industries and so on by AI technology, AI technology will eventually transform the steward industry in business management - traditional business staff. Business stewards serve employers and customers to complete business stewardship business such as business management, wealth appreciation, asset management, happy life and so on mainly through artificial intelligence, intelligent machine, search engine, cloud computing, o2o, big data evaluation, LBS, social network, mobile Internet and other comprehensive tools. From the perspective of practical activities of business steward mode innovation, its main modes are classified into four types: independent professional business steward company, business steward in subdivided industries, generalized business steward crowdsourcing organization, and intelligent AI business steward. The industry influence of business steward consists in sharing outsourcing service-oriented business services, excellent loyal and stable business stewards, and business stewards of “buyer type interest representatives”, which can solve the problem of skill training for managers, reduce the cost of employment management and tax, and meet the business requirements of public business management. In the future, the intelligent business steward will make huge impact on the business economy of China and the world in terms of business management, improving work efficiency and promoting the development of science, technology and culture.
Research on Feature Extraction Method of Geometric Image Recognition
Authors: Chen Na , Zheng Gang , Wu Chunqiong
Published: April 2020

The existing image recognition feature extraction technology cannot effectively transmit the image information if the extracted features are not complete, sufficient and inaccurate. It will have an impact on image processing, such as reducing the accuracy and efficiency of subsequent image recognition and image tracking. At the same time, the existing technology for image processing destroys the topological structure between image pixels, and the process is complicated in the calculation of high-dimensional data space. Therefore, this paper proposes a method and steps of feature extraction for collective image recognition, and makes relevant supplementary explanation and analysis.
Facial Landmark Detection Experiment
Authors: Su Yanzhe
Published: April 2020

Facial landmark detection or face alignment is an important problem in computer vision. Different types of methods have been proposed to target this problem, with their advantages and disadvan- tages. This paper classified the past methods into three categories, briefly compared them, then attempted to reimplementing part of a recent work. Experiments were done with a common, current dataset to compare the method with other methods.
Research on Image Recognition of Power Inspection Robot Based on Improved YOLOv3 Model
Authors: Xiong Wei , Yang Sha , Zhang Zhao , Chen Liang , Huang Shuxin
Published: April 2020

YOLO series models are widely used in power inspections, but they are prone to miss inspections for small targets and diverse targets. In response to this defect, an improved network model of YOLOv3-g suitable for GPU cores and an improved network model of YOLOv3 mini suitable for CPU cores are proposed. By reducing the number of small and medium-scale targets, the number of convolution kernels is increased, and the small and medium-scale targets are increased. The intensity of feature extraction reduces the amount of network calculations and better solves the problem of inaccurate detection and recognition of small targets in electric robot scenes.
Research on VisualInspection System of Waterproof Breathable Membrane Based on HALCON
Authors: Peng Qingfeng , Yang Shifeng
Published: April 2020

Aiming at the needs for high-efficiency, high-precision and stable detection of waterproof and breathable membranes, a waterproof and breathable membrane quality detection system with burrs, filaments, spots and uniformity as the detection indicatorshas been designed based on HALCON. The upper computer system is developed based on C#and the lower computer is developed based on PLC. The upper computer system analyzes and processes the images collected by the industrial camera, which is the core of the entire detection system. The lower computer communicates with the upper computer through industrial Ethernet, and sends motion instructions to the servo system through the Ethernet bus. Tests show that the system can perform high-efficiency, high-precision and stable detection of the quality of waterproof and breathable membranes.
Tactile Guidance System for the Blind Based on Digital Image Processing
Authors: Tang Wenyuan
Published: April 2020

Science and technology are making earth-shaking changes in our daily lives, and as a special group, blind people should enjoy the fruits of technological progress. Since the traditional blind guiding device can only give rough information about the distance and orientation of the obstacle, the user obtains too little information, and there is still too much unknown fear during the traveling. The guiding effect is not great. Therefore, after considering the physical and psychological needs of the blind, this paper designs a system of tactile perception imaging instead of vision. The system collects obstacle information through the camera, performs digital image processing, and then displays it on the tactile imager through special encoding processing. Through the sense of touch, the blind person processes the tactile information into image information through the brain, thereby obtaining the size, shape and position information of the obstacle, and then forming a more concrete understanding of the obstacle, so that the blind can perfectly avoid the obstacle.
Research Of The Blind Equalization Technology In The Non-Cooperative Communication Receiving System
Authors: Yan Ming , Wu Caifeng , Liu Yang , Xie Zhiyuan , Zhu Qinghao
Published: April 2020

Convergence rate and steady-state mean square error are the main parameters to evaluate the performance of blind equalization algorithm. In order to improve the blind equalization performance of non-cooperative communication reception under multipath fading channel, a modified super-exponential iterative blind equalization algorithm is adopted, which converges faster than the traditional constant modulus algorithm and achieves the same steady-state mean square error. Aiming at the MPSK non-cooperative signal with unknown modulation order, a two-mode blind equalization method based on fractional interval is proposed. The method makes full use of the robustness and fast convergence of the super-exponential iterative algorithm, and combines the low steady-state mean square error of the recursive least squares algorithm. The effectiveness of the method is proved by simulation and experiment.
Automatic scoring method of English composition based on language depth perception
Authors: Dan Tang , Yu Sun
Published: April 2020

AutomatedEssaySystem (AES) refers to a system for evaluating and rating compositions by using techniques in the fields of statistics, natural language processing and linguistics. The selection of composition features is one of the key issues in the study of automatic composition scoring. This paper abstracts the features of language sense from the depth of language perception, which makes up for the shortcomings of the automatic scoring system of shallow features (such as vocabulary difficulty, grammar, etc.). The features of language sense are mainly the similarity of keywords extracted from the first and last paragraphs of a composition by rake algorithm, the similarity of texts calculated by cosine similarity to the context content of a composition and the similarity detection of composition language materials by automata. Finally, from the three aspects of correlation, error and overall accuracy, it analyzes whether the deep-seated language features improved the scoring ability of AES system. The experimental results show that the added depth perception features enhance the language ability of automatic scoring and are closer to manual scoring.
Topological Data Analysis of Customer Relationship
Authors: Lu Yutao
Published: April 2020

In the modern society, if manufacturers want to make huge profits, they must not only control the production cost, but also classify customers and increase the loyalty of key customers. Thus, existing data analysis methods, represented by Time Series Analysis and Topological Data Analysis (TDA), have emerged at this point of time to explore customer relationships. Based on the latest research of time series analysis and TDA, application of analysis is explored in practice. The relationship between topology and datasets will be given by displaying the process of TDA. In the end, there will be a discussion about the efficiency of different approaches, the improvement of tools in this paper and their extended application. This work is intended to provide a brief introduction of TDA and other methods to help readers understand concepts easily and provide suggestions for future studies.
Privacy preservation with unequal data exchange strategy in participatory sensing*
Authors: Zhang Tianqi , Zhang Rong , Wang Jin
Published: April 2020

In participatory sensing, participants contribute sensing data to task center. However, the task center is not always trustworthy. It may try to profile the participants by data mining, which is a great threat to the privacy of participants. To solve this problem, three collaborative data exchange strategies are studied. Participants exchange sensing data before upload to the task center. The mixed data protect the participants’ privacy from data mining by the task center. The simulations show that the unequal data exchange strategy is more efficient than the full exchange strategy because it considers both the tradeoff between privacy preservation and the cost of data exchange.
Strengthening the construction of digital course, Promoting the innovation of teaching mode in University
Authors: Cheng Yunli , Wang Zheng qin
Published: April 2020

Digital resources are the necessary conditions for the implementation of educational information. Nan Yang Polytechnic insists on the development of digital curriculum resources and teaching reform, To highlight the characteristics of professional courses and skills oriented, Based on the digital campus network platform, Taking the learning activities as the main line, the development of a “dynamic” network course, The digital curriculum resources with good interactive and sustainable development have been constructed, and the representative teaching model. It can effectively improve the quality and effect of classroom teaching, and accelerate the process of digital teaching.
Meteor Shower Scale Prediction Using Random Forest Classification
Authors: Peng Bozhen , Sun Dingyi , Cui Qifei , Yin Yip Chun
Published: April 2020

With the development of science and technology, the aerospace industry also has been developing rapidly. At the same time, meteor showers from the universe become one of the severest threats to the increasing numbers of aero crafts in the outer space. With the advancement of computer science, we have been able to employ big data to analyze and predifct the scale of meteor showers, so as to reduce the possibility of meteor objects hitting spacecraft and provide a strong guarantee for aerospace security. The Random Forest Classification, a kind of machine learning algorithm, is used to analyze meteor showers that once visited the earth to explore the principle of meteoroid cycles and predict the scale of meteor showers that will enter the Earth. The confusion matrix and accuracy rate will be used to evaluate the performance of the machine learning model.
Research on Supply Chain Performance Management based on Big Data Application
Authors: Yao Cenglin
Published: April 2020

With the coming of the era of big data and the strengthening of competition among enterprises under the condition of marketization, enterprises must make full use of big data technology to improve their supply chain performance management level, so as to establish an advantageous position in the competition. This paper first introduces the theory of supply chain performance management based on big data application, then analyzes the impact of big data application on supply chain performance, and finally gives the strategies to improve the supply chain performance of enterprises.
Research on satellite urban transportation and land spatial planning in big data environment
Authors: Nan Nan , Song Li
Published: April 2020

With the continuous development of computer technology, big data application has become a hot research area. Big data has the ability of high-speed and accurate data analysis, which provides great help for many research work. With the help of big data technology, we can provide data reference for the spatial planning of satellite urban traffic. Satellite towns are different from ordinary cities. Satellite town refers to the small city around the big city, which is a small town that provides residence for workers in the big city who are unable to buy houses in the big city. Compared with the general large and medium-sized cities, the space planning of satellite towns is relatively simple. Therefore, the complexity of traffic structure and function area planning of satellite towns is not as complex as that of big cities. Firstly, this paper analysis the characteristics of satellite urban traffic under big data. Then, this paper analysis the spatial planning of big data land. Finally, this paper puts forward the satellite town planning mode based on the people-oriented core concept under the big data.
Analysis and Research on the Combination of Virtual Reality Technology (VR) and College Sports Training
Authors: Qingtao Zhang
Published: April 2020

The combination of virtual reality technology (VR) and college sports training makes college sports training continue to innovate with the help of emerging technologies and receive good results. Virtual reality technology combines traditional technology advantages in various fields with sensor technology, three-dimensional animation technology, and network communication technology. Through research and innovation, through virtual reality technology, computer communication technology is used to achieve an effective fit between sports training and virtual reality technology. It is used to improve the technical level and training quality of college athletes, give full play to their technological advantages, and contribute to the reserve of reserve talents for competitive sports in China.
Application of Rain Classroom to College English Writing
Authors: Hanbin Zhang
Published: April 2020

The purpose of the study is to discuss the process of construct the writing teaching mode based on Rain Classroom and explore the effects of the writing teaching mode based on Rain Classroom on College English teaching. This paper concludes that the main links of the writing teaching mode based on Rain Classroom are: model text analysis, imitation exercise, practical writing, and mutual evaluation and revision. In addition, the writing teaching mode based on Rain Classroom has significant effect on improving college students’ English writing ability.
Discrete complex image method for periodic Green’s function
Authors: Li Lin , Zhao Xu
Published: April 2020

The electromagnetic scattering of periodic structure may be expressed by integral equation with periodic Green function as the core. The periodic Green’s function can be expressed as infinite sum in spectral domain. In order to avoid the numerical calculation of infinite sum, the discrete complex image method is proposed. By using the Generalized pencil-of-function method, the closed form can be obtained without any numerical integration. It can be expressed as one group of real sources and two groups of complex sources with complex amplitude and complex position. The accuracy of the method is demonstrated through numerical examples.
Identification of Tea Red Leaf Spot and Tea Red Scab Based on Hybrid Feature Optimization
Authors: Meng Shulin , Wang Shuguang , Zhou Tao , Shen Jiankun
Published: April 2020

Tea leaf diseases seriously affect the quality and the yield of tea. In order to determine whether the tea leaves are infected by diseases or any types of infection, technical support is essential for taking appropriate measures of disease control. Images of normal tea leaves, tea leaves infected with Tea Red Leaf Spot, and leaves infected with Tea Red Scab disease were studied. An identification algorithm for both of the tea leaf diseases based on hybrid feature optimization was proposed. First, the image features were extracted using the Histogram of Oriented Gradient and the Inception v3 model. Then, hybrid feature optimization processing was performed on two types of extracted features. Finally, the Gradient Boosting Decision Tree algorithm was used as the classifier for the identification of tea leaf diseases. Experiments demonstrate that the hybrid feature optimization algorithm reduces the image feature from 36, 068 to less than 150 dimensions while maintaining a high identification accuracy, which greatly reduces the complexity of the identification algorithm. At the same time, the identification accuracy of tea leaf diseases based on hybrid feature optimization algorithm were higher than 95%.
Fault-tolerant technology based on FPGA: A Research of LogiCORE™ IP Soft Error Mitigation Controller
Authors: Wu Jiang , Meng Xiankai , Zhang Nan
Published: April 2020

In a radiation environment, compared with ASIC and FPGA based on anti-fuse structure, SRAM FPGA is more susceptible to single particle effect, in particular, the effect of single-event upset (SEU). How to improve the equipment anti-single particle over conversion reliability has become a key problem to be considered in the design of SRAM FPGA system. Xilinx provides soft error mitigation SEM IP cores that perform SEU detection, correction, and classification. As part of the SEU detection function, the SEM IP core uses ICAP and ECC primitives for clock control and observing the CRC circuit reading back. As far as SEU correction is concerned, the IP core performs the necessity through the built-in ECC function and the operation to locate and correct SEU errors. For the SEU classification, the IP core uses the Xilinx-Essential-Bit technology further to improve system reliability. Through the in-depth analysis of SEM, in this paper, soft error mitigation SEM controller IP core of Xilinx was used to build a verification and test platform based on Zynq-7000 SoC ZC702 in order to simulate the influence of cosmic irradiation on SRAM FPGA. On the basis of completing the functional verification of SEM IP core, we also put forward some improvement ideas based on the experimental results.
Lower resources of spoken language understanding from voice to semantics
Authors: Hao Zhang , Cheng Guo LV
Published: April 2020

Spoken language understanding is traditionally designed as a pipeline consisting of multiple components. First, the speech signal is mapped into text through the automatic speech recognition module, and then the natural language understanding module converts the recognized text into structured data, such as domain, intention and slot value. Usually these modules are trained separately. End-to-end speech comprehension, on the other hand, derives structured data directly from speech through a single model. However, end-to-end spoken language understanding based on a large amount of training data is difficult to achieve in different fields and different groups of people. For this reason, we introduced end-to-end oral comprehension based on pre-training with low resources and combined it with capsule vector. The experimental results show that the oral comprehension of this model with low resources is robust under different data sets.
Establishing a Database of Competition between ISPs Based on Python Language
Authors: He Hanyue
Published: April 2020

Nowadays, we have entered the era of 5G. And the application of the Internet surrounds our daily life. People need to rely on broadband products provided by different Internet service providers (ISP) when they access the Internet. People often compare the speed and the cost of Internet access between different providers. However, monopolistic behavior in the industry is severe in some countries, which may result in users having to withstand higher network access prices and lower quality broadband products. Therefore, the competition between ISPs is a direct influencing factor for users to use the network. This article first highlights the importance of competition among ISPs. And secondly, choose the European authoritative website, crawl the data, and manipulate it at the first step. Finally, this paper summarizes the ISPs competition data sets that can be used for subsequent model analysis. The author will elaborate on the relationship between competition and flow price in subsequent paper.
Hybrid Energy Storage Control Method for Isolated Island AC Micro-grid Based on Consistency theory
Authors: Song Chao , Xu Zhichao
Published: April 2020

In the traditional hybrid energy storage control method of isolated island AC micro-grid, due to the difference between different types of hybrid energy storage in the hybrid energy storage system, the control stability is low. Therefore, a hybrid energy storage control method of isolated island AC micro-grid based on consistency theory is proposed. Based on the consistency theory, the voltage and SOC of the isolated island AC micro-grid hybrid energy storage system are subject to the consistency control. On this basis, the power of the hybrid energy storage system is subject to the consistency control. Thus, the research on the control method of the isolated island AC micro-grid hybrid energy storage based on the consistency theory is completed. The experimental results show that the proposed control method based on consistency theory has better control stability.
Research on four-dimension Bandpass DSSS Modulation
Authors: Jiafang Kang , Bo Hua , Peilin Zhong , Chuanhui Liu
Published: April 2020

Based on 2-dimension baseband DSSS modulation method and orthogonal frequency conversion theory, a four-dimensional band-pass DSSS modulation and demodulation system model based on a single pseudo-noise code is proposed. Then, the BER performance is analysed, and the hardware experiments based on software defined radio are conducted. Compared with 16QAM and 16PSK, when the BER is 10−6, the proposed method outperforms 16QAM and 16PSK by 4dB and 8dB respectively, hardware experiments show that the time domain characteristics, power spectrum and power bandwidth of RF signals are consistent with theoretical values. Works in this paper establish the technology foundation for future application.
Parameter Matching and Simulation Optimization Analysis of Electric Vehicle Power System
Authors: Wu Xianhuan
Published: April 2020

With the development of new energy electric vehicle technology, its application is more and more popular, not only in the field of passenger cars, but also in the field of commercial vehicles. Based on this, this paper first analyzes the matching of electric vehicle dynamics and electric drive system, secondly, carries out the matching and design of electric vehicle power system parameters, and finally optimizes and simulates the power system.
A Tunable Filter with Different Kinds of Material for Good Electrical Performance
Authors: Zhou Chang , Xia Jing , Jin Wanwan , Wang Li , Liu Gang , Wang Nan
Published: April 2020

A tunable comb-line filter based on series of material with different conductivity is presented and optimized to achieve proper insertion loss and bandwidth. The coupled circuit technique is used and the varactor diode parallel resonance is employed to meet the requirement for external voltage control. Based on the analysis of the tunable filter, the influence of the material with different conductivity on insertion loss and bandwidth is analyzed and it is found that the material of the resonant rib in the filter is an important factor for the electrical characters and high conductivity can effectively restrict the insertion loss and realize the narrow bandwidth. The results also show that the narrow bandwidth could not be obtained when the conductivity of the material is too low.
Research on Verification Error of Smart Electricity Meter based on Regression Analysis
Authors: Dai Yanjie , Xu Ding , Wang Qing , Zhu Jingyuan , Wang Tingting , Liu Yanxi
Published: April 2020

In this paper, the errors of smart electricity meterare verified by using walk-in temperature and humidity box.First of all, this paper investigates the regression analysis method and analyzes the influence of temperature and humidity on the error of the smart electricity meter.The stepwise regression method is selected to model the verification error and the verification conditions of the smart electricity meter and the verification device.Finally, the accuracy of modeling is evaluated.
Consider medium and long-term electricity market different supply and demand than the sale of electricity price simulation method and system design
Authors: Pincheng Zhang , Yanmin Guo , Fen Lin , Shuhai Feng , Jinquan Zhao
Published: April 2020

After a new round open of electricity sales market, a large number of new sell electricity company involved in the sale of electricity market. Which leads to market instability. Because hair, sale members on both sides of the market in the electric power business behaviour real-time change. So only through the analysis of theory and can’t get the real power market operation state. Based on the analysis of electric power market supply and demand ratio, power suppliers and electric power company in different than the market price of supply and demand, set up to simulate long-term market members under supply and demand than bidding decision-making model, the application of RE - Learning, reinforcement Learning algorithm in 10 power suppliers and 30 sell electricity companies bidding behaviour simulation market under the participation of members. The experimental results show that the use of bidding decision model is a good way to express market members under different supply and demand than market clearing. Which verifies the effectiveness of the proposed method.
Application of Distribution Network Current Differential Protection Based on Ubiquitous Internet of Things in Line Selection and Location of Small Current Grounding System
Authors: Yin Weibing , Feng Chaoli , Shi Jianli , Lu Jianqin , Wang Lei
Published: April 2020

In order to find the fault point of one-phase grounding in distribution network as soon as possible and prevent instantaneous fault from developing into permanent fault or inter-phase short circuit, Tongxiang Electric Power Company of Jiaxing, Zhejiang Province adopts neutral point flexible grounding system, which solves the difficulty of fault location and avoids the malpractice of frequent tripping of the system. Based on the communication mode of power wireless private network, the feasibility of implementing fast differential protection in distribution network by using improved mutation algorithm is analyzed through MATLAB simulation. Under the influence of overhead line, cable line, the first or the end of line and transition resistance in flexible grounding system, differential protection can effectively reduce the extension of fault range, improved the relay protection level of distribution electric network to meet the reliability requirements of power supply system.
Analysis of Heating Fault of Pad Mounted Transformer Core in Wind Farm
Authors: Liu Shoubao , Yang Yaowu , Xiong Zhonghao
Published: April 2020

The Pad mounted Transformer is an important equipment for energy transfer in wind farm. Aiming at three cases of pad mounted transformer core heating faults occurring continuously in a wind farm, oil analysis and disintegration of the fault transformer are carried out, and the fault points causing the heating are found. In order to analyse the mechanism of the fault, the eddy current field analysis model is established by using finite element analysis software ANSYS MAXWELL to analyse the change. Quantitative calculation is carried out for the heating condition of the winding and core of the press. Through analysis, it is determined that there are defects in the manufacturing process of pad mounted transformer, and the reason of heating failure is that the low-voltage winding at the head contacts too closely with the iron core.
Identification of Power Quality Disturbances Based on Sample Entropy and Weighted Optimization Random Forest
Authors: Liao Xiaohui , Chen Chuanchuan , Wang Yuhan , Cui Mingjian , Liu Chuan
Published: April 2020

With the increasing number of non-linear loads and impact loads in the actual power grid, power quality problems are becoming more and more serious. Accurate and rapid identification of power quality disturbance signals is of great significance for improving the power quality and ensuring stable operation of the power grid. For this reason, this paper proposes a multi-resolution analysis of wavelet transform and a combination of sample entropy to extract the characteristics of power quality disturbance signals. The classification effect is better than the initial samples. The weighted optimization random forest classifier is used to classify the features, which reduces the error caused by the mode voting method of the random forest. The simulation and actual test results show that the power quality disturbances detection algorithm based on sample entropy and weighted optimization random forest has better classification accuracy than the decision tree, extreme random tree and traditional random forest.
Design and Optimization of Detection Antenna for Corona Discharge in High-voltage Transmission Lines
Authors: Xiao Xiaoming , Hu Weinan , Ran Jun , Xu Zheng , Hei Guoyu , Han Xintong , Zhao Lipeng
Published: April 2020

Corona discharge on high-voltage transmission lines is a common phenomenon in power systems. It results from poor contact between insulators and lines, and broken strands on transmission lines. Long-term corona discharges may lead to more serious power grids accidents. Hence, it is of great importance to effectively detect the occurrence of corona discharge. The Hilbert Fractal Antenna is a wide-band, small-sized antenna which can be carried by the unmanned aerial vehicle for close-range detection and accurately position fault points of corona discharge. In this paper, the finite element method is used to study the 5th order Hilbert fractal antenna. The research focuses on the different feeding positions of the antenna. By studying the different feeding positions of the antenna, we determine a miniaturized antenna which can be used for corona discharge detection of high-voltage transmission lines.
Application of high frequency chain transformer in aviation power supply
Authors: Shuang Wang Xiao , Zhao Jing , Gang Yang Xiao , Ren Shuai , Yan Wang Ning , Hui Xue Yin , Zhang Lu YA
Published: April 2020

This paper introduces the application of the high frequency chain transformer in the aviation power supply. The soft switch technology is used to reduce the electromagnetic interference of the converter, solve the power supply problem of the rotating circuit which has no physical contact with the static power supply, and extend the service life and reliability of the aviation power supply. Experiments show that the non-contact rotary high frequency chain transformer can completely replace the brush and slip ring in the power supply situation of the rotating mechanism, which has high application value.
Analysis of Self-priming Performance of Hydraulic Pump
Authors: Zhiyin Han , Yanfang Li , Huijun Wu
Published: April 2020

This article analyzes the self-priming performance of hydraulic pumps in hydraulic systemsanddescribes many factors affecting the poor self-priming performance of hydraulic pumps in hydraulic systems.All these factors are analyzed one by one and some effective solutions are proposed.
Design of eye electroacupuncture massage instrument based on 3D printing technology
Authors: Wei Xiuguo
Published: April 2020

At present, the common eye massage instruments in the market is mainly used to relieve eye fatigue and cannot treat myopia. Traditional Chinese medicine electro-acupuncture has a good effect on the treatment of myopia, but its efficiency is low, and most adolescents have poor compliance, which is difficult to promote. This design combines electroacupuncture therapy with 3D printing technology to accurately locate the eye acupoints through three-dimensional scanning, therefore the massage effect is better. The design of the massage instrument not only fills the field blank of the electro-acupuncture massage instrument for myopia, but also is more easilyaccepted by the adolescents, meanwhile, it has the advantages of good effect and easy promotion.
Electromagnetic interference characteristics during switching operation in power distribution network
Authors: Chengliang Wang , Weilian Shui , Qingsheng Yang , Yan Ning
Published: April 2020

The disturbance problem caused by the transient electromagnetic field during high-voltage switching operation is the most typical. Electromagnetic interference can be coupled to the secondary circuit in a conductive and radiating manner, then, affects the reliability of the secondary-side circuit. The key to the simulation calculation of the operating switch overvoltage is the judgment and simulation of its opening and closing conditions. The arc current zero-crossing judgment signal, the arc extinguishing and reignition judgment signals are fused, and a control signal is recursively obtained for switching operation. By analyzing the transient process during switch operation, a simplified model for isolating and closing the no-load bus, an overvoltage calculation model, and a fast transient model for overvoltage time-frequency signals are established. The characteristics of the transient electromagnetic field generated when the no-load bus and the circuit breaker of the disconnector are charged to the no-load transformer are simulated. The mechanism of fast transient pulse group generated by switching operation is obtained. The maximum overvoltage amplitude generated during the disconnector’s switching, and the no-load bus is obtained by simulation. Comparing with the measured data, the laws of electromagnetic interference characteristics during switching operation in power distribution network are verified.
Principal Component Analysis of Short-term Electric Load Forecast Data Based on Grey Forecast
Authors: Yinsheng Su , Chunxiao Liu , Bao Li , Weisi Deng , Peishen Zhang
Published: April 2020

With the large-scale development of the power industry, new requirements are put forward for the stable operation of the power system. Power system load forecasting refers to the use of historical load data to predict the future load value, which is an important part of energy management system. The short-term load forecasting process is often combined with the basic mechanism of power grid dispatching to achieve the balance of power grid supply and demand, reflecting the highly nonlinear computing ability. Power load forecasting is the premise of power grid real-time control, operation planning and development planning. At present, the grey model model used for power system load forecasting generally has the problems of large calculation amount, no mature theoretical basis for selecting structures and parameters, etc. This paper discusses the application of grey model in short-term power load forecasting, and puts forward a principal component analysis method suitable for ordinary daily power load forecasting data, which improves the accuracy of short-term power load forecasting.
Design and Implementation of Subsynchronous Damping Controller for HVDC
Authors: Wenpei Zhu , Aimin An , Yifan Xu , Yingyin Zhao
Published: April 2020

The interaction between High Voltage Direct Current (HVDC) transmission lines and turbogenerator units will cause the damage of the generator shafting and the electrical system by exchanging energy at one or more lower synchronous frequencies, resulting in the damage or even breakage of the generator shafting, seriously affecting the safe operation of the power system. To solve this problem, the Supplementary Subsynchronous Damping Controller (SSDC) is an effective method to suppress the secondary synchronous oscillation of turbogenerator units connected to rectifier side caused by HVDC. This paper combines the first standard model parameters of IEEE subsynchronous oscillation with CIGRE HVDC transmission system, and builds a HVDC transmission test system for Subsynchronous Oscillations(SSO) research in PSCAD. Based on signal test method, a narrow band SSDC is designed, and the damping in each synchronization frequency band is greatly increased. When the proportional coefficient is appropriate, the electrical damping is positive. The effectiveness of the designed SSDC is also verified by time domain simulation.
The Design and Simulation Analysis of Distribution Network Stripper Structure
Authors: Yu Yan , Zhou Zhanfan , Liu Weidong , Hu Shichao , Xu Xianjin
Published: April 2020

Considering the low efficiency of the stripping process and the serious damage of the core in the current distribution network, we propose a novel wire stripper in this paper. The kinematics modelling of the main transmission components in the wire stripper is established, and the opening and closing process of the wire stripper in real working condition is analysed by the kinematics and dynamics simulation. Furthermore, the static strength analysis and the stress distribution are obtained by the ANSYS, which provides theoretical guidance in the optimized design process. The results of motion modelling and static simulation confirm that the structural design of the novel wire stripper is reasonable and feasible.