bluuebunny/crossref_metadata_2025 huggingface dataset:
Semi-supervised classification method of SAR images using spectral clustering in contourlet domain
Authors: Jiang Kaiwen , Zhang Degan , Xu Haixia
Published: April 2020

A new based on Semi-supervised classification theory for SAR images in contourlet domain is proposed, in this paper. Attempting to get better and faster performance, the PSO algorithm (Particle swarm optimization algorithm) and contourlet domain is proposed to instead of traditional k-means algorithm. PSO is used to find the global optimum by performing a global search in the whole solution space. And then, contourlet is applied in front of construct the similarity matrix to extract more effective eigenvalues. In section five, the proposed algorithm got better classification results than the traditional k-means algorithm which is proved by experimental results show that in terms of running time, classification accuracy and Kappa coefficient.
Application of Digital Media Technology in Animation Design and Production
Authors: Liu Jie
Published: April 2020

This article discusses the related concepts of animation design and digital media technology, combines the application value and application requirements of digital media technology in animation design and production, integrates traditional elements of the country through research, introduces other science and technology, and gives full play to technical advantages. We can establish take some measures like a communication platform mechanism and strengthen relevant personnel training strategies. These measures are aimed at improving people’s awareness of the advantages of digital media technology applications and promoting the healthy development of the animation industry.
Study on risk evaluation of intellectual property pledge loan based on fuzzy analytic hierarchy process
Authors: Wang Simin , Luo Yi , Luo Ling
Published: April 2020

From the six aspects of the risk of intellectual property itself, intellectual property rights technology uses risks, risks of intellectual property laws, intellectual property rights market risk, business risk, macro environment of intellectual property, build a comprehensive intellectual property rights pledge loan risk evaluation index system, and bythe fuzzy analytic hierarchy process (ahp) combining qualitative and quantitative, ultimately determine the pledge loan risk level. This paper makes an empirical analysis of the selected cases, and the research results show that the fuzzy analytic hierarchy process can effectively quantify the risk of intellectual property pledge loans, which is conducive to the risk judgment and identification of this kind of pledge loans.
The Propagation Strategy Model of Taint Analysis
Authors: Ren Yuzhu , Zhao Jiangtao , Zhang Cao
Published: April 2020

The taint propagation strategy is the core of the taint analysis technology. When the taint analysis toolsanalyses the target program, it needs to mark the target data according to the formulatedtaint propagation strategy. Formulating a reasonable strategy for taint propagation can effectively improve the accuracy of taint analysis. There are two difficulties in developing the taint propagation strategy, namely, alias analysis in static taint analysis and indirect jump in dynamic taint analysis. In our paper, we propose a taint propagation strategy at the intermediate representation language level, which can effectively improve the accuracy of taint propagation.
Boosting n-octanol/water Partition Coefficients Prediction with An Improved Gene Expression Programming Method
Authors: Yuan Cheng , Peng Yuzhong , Deng Chuyan , Gong Daoqing , Cao Aiqing
Published: April 2020

n-octanol/water partition coefficient (named logP) reflects the lipid solubility and aqueous solubility of the substance. Accurate and effective prediction of logP has great significance for drug development and monitoring human health, due to logP is related to the dissolution, absorption, distribution and transport of the drug in the human body. This study proposed an improved gene expression programming algorithm based on fuzzy control method with the feature of Morgan fingerprint to improve the logP prediction. Experimental results evaluated in terms of RMSE and MAE show that proposed method outperforms not only multicellular gene expression programming, but also the state-of-the-art methods including Back Propagation neural network, support vector regression, random forest regression and Gaussian process regression.
Prediction of soil humidity based on random weight Particle Swarm Optimized Extreme Learning Machine
Authors: Ji Wei , Liu Yong , Zhen Jia-Qi
Published: April 2020

The prediction of high quality soil moisture is of great significance to agricultural production and scientific research. In order to solve the problem that the prediction results of (ELM) regression model of limit learning machine are affected by input parameters, the stochastic weight particle swarm optimization algorithm (RandWPSO) is applied to ELM regression model. In this paper, a soil moisture prediction method of particle swarm optimization limit learning machine based on random inertia weight is proposed. In this method, the data of soil temperature and light intensity measured by sensor are used to preprocess the data, the training sample set is constructed, and the ELM regression model is established. The input weight and threshold in ELM are optimized by using random weight particle swarm optimization algorithm to avoid falling into local optimization, thus the prediction model of soil moisture based on RandWPSO-ELM is established. The soil moisture of sugar beet in Hulan area was studied. The experimental results show that the method has high accuracy and stability, and can provide an effective reference for the growth of sugar beet in greenhouse.
Design of a Narrow Transition Band Dynamic Digital Channelized Receiver withoutMerging Adjacent Sub-channels
Authors: Su Yu
Published: April 2020

In electronic reconnaissance, effective channelization of several input signals with unknown parameters is the key requirement of the broadband receiver. Generally, since the prototype filter must be perfect, the dynamic channelized receiver based on merging adjacent sub-channels to reconstruct non-uniform filter Banks occupies too many resources and is difficult to realize. This paper proposed a sharp wideband channelized receiver based on DFT filter banks and interpolated filter banks. The proposed receiver consists of an analysis section, channel detection and arbitration section, and a synthesis section. The analysis section divides the wideband signal into multiple sub-channels. Channel detection and arbitration section output the center frequencies and the bandwidths of the input signals. In the synthesis section, after being converted to baseband, the input signals are filtered and decimated to achieve the low rate signals. The proposed method released the design of the prototype filter from the requirement of perfect reconstruction. So it is computationally efficient. Besides, time-multiplexed and interpolated filter techniques can be used to further reduce the hardware complexity. Simulation results verify the validity of the proposed method.
Signal extraction based on chaos masking
Authors: Li Chao , Yu Jiayin , Guo Shiyu , Shi Mengna , Wang Erfu
Published: April 2020

As chaotic masking signal refers to a seemingly random and irregular signal occurring in a deterministic system, it is highly confidential to load the signal needed to be transmitted into chaotic masking signal as a carrier signal for transmission.In this paper, an improved information encryption based on lorenz chaotic masking system and speech signal extraction based on joint diagonalization blind extraction algorithm are designed.The performance comparison between the proposed algorithm and FastICA blind extraction algorithm based on negative entropy maximization is analyzed quantitatively and qualitatively in the simulation experiment. The effectiveness of information encryption under chaos masking and the reliability of the algorithm based on joint diagonalization blind extraction are verified.
Face Expression Recognition Based on Deep Learning
Authors: Zhang Tingxuan
Published: April 2020

Nowadays, the information technology such as artificial intelligence (AI) and the cloud classroom have been increasingly introduced to improve the quality of modern education. It is well known that teachers can adjust the teaching mode through the interactive performance of students in the classroom. For example, if many students show surprise expressions on their faces, it means that students may not understand what the teacher is talking about, and the teacher needs to slow down the rhythm and explain the knowledge point carefully. For another example, if students present positive expressions, it means that the teacher has mobilized the atmosphere of the classroom well and should keep this good teaching style to make students be interested in this subject. All in all, face expression recognition is quite useful in the modern society.
A Nonuniformity Correction Method Based on Gradient Scene Calibration
Authors: Liu Rang , Tong Yan , Ma Pufang , Zhao Yafei , Zhao Yanjie
Published: April 2020

The nonuniformity of infrared focal plane array (IRFPA) seriously affects the image quality and the measurement accuracy of the infrared imaging system. The two-point nonuniformity correction (NUC) method based on blackbody calibration performs a less than very satisfactory result to correct the sky scene with gradient gray distribution. Aiming at this problem, a new NUC method based on gradient scene calibration is proposed. First, the correction models are deduced in theory with the reference of the blackbody and the gradient scene. Then the pure sky images at the two different pitch angles are used as two reference temperature points to obtain the gain and offset coefficients by two-point correction. Next, two correction coefficients are filtered to remove residual noise. Finally, an outfield experiment with the proof-of-concept camera is performed. Experimental results show that the signal-to-noise ratio (SNR) of the point target image corrected by the proposed method is increased from 5.56 to 9.84 compared with the blackbody calibration-based NUC. And it has the preference of low complexity and easy implementation in the real-time system.
Research on Financial Development of Guangdong-Hong Kong-Macao Greater Bay Area Based on Endogenous Financial Economic Growth Model
Authors: Gao Houpu
Published: April 2020

Economic growth is a prerequisite for social development and political stability. Finance is the core and hub of modern economic operations and economic growth. GBA is an important strategy that the country is currently promoting. It is the region with the largest economic aggregate and the highest economic activity in China. Promoting the financial development of GBA has an important supporting role in enhancing the economy of the Bay Area and the national economy. Based on the strategy of GBA, this paper introduces the endogenous economic growth model of the financial sector to discuss the interaction and mutual restraint between financial development and economic growth in GBA.
RETRACTED: Research on Remote Control Method of English Multimedia Online Teaching System In Big Data Environment
Authors: Na Gao
Published: April 2020

In order to ensure the effectiveness and security of remote control of the teaching system, the remote control method of English multimedia online teaching system based on large data environment is proposed. Firstly, the remote control module of online teaching system is optimized, configuration parameters are improved, the remote control module is operated effectively, and the remote control rules of multimedia online teaching system are designed, which further ensures the security of remote control. According to the control rules, the remote control steps are simplified, and the optimization of remote control method for English multimedia online teaching system is finally realized. Finally, the experiment proves that the remote control method of English multimedia online teaching system in large data environment is more effective and safe than the traditional method.
Production Process and Quality Control of Virus Vaccine
Authors: Yifeng Jing
Published: April 2020

According to the current hot demand of the society, the importance of human vaccine in quality and safety has been further improved. Taking the virus vaccine as an example, this work expounded the production process of vaccine from disease material collection to inspection and determination. The quality control process of vaccine from the production to the supervision and management was also expounded.
Research on Home and Work Locations Based on Mobile Phone Data
Authors: Luo Xusen , Zhou Yunyao , Yang Yifu , Wu Shuyun
Published: April 2020

The home and work location information of residents is of great reference value for applications such as transport planning and urban development, since home and workplace are the most important places in people’s lives. The article introduces a method that uses mobile phone call detail records (CDR), which offers good potential for monitoring of the short-term mobility of populations, combined with city road network data, to identify respondents’ home and work locations. The method we developed contains three sections, which are data preprocessing, data fusion and location detection, and is tested with 6 months’ data collected in Hong Kong, including over 350 thousand residents. In the end, experiment results are compared with population register data and the results got in references, and it turns out that our method performs better with the average accuracy of 80%.
Design and Study UAV Data Link Terminal with One Station Controls Several Vehicles Dynamic Networking
Authors: Junkai MA , Wang Xiaoyan , Chen Kewei , Liu Qingtao
Published: April 2020

Considering that there are UAVdynamic networking and collaborative communication requirements under complex mission planning conditions, this paper designs a UAV data link communication terminal with One Station Controls Several Vehicles dynamic networking. Firstly, this paper analyzes the structure of One Station Controls Several Vehicles dynamic networking and cooperative communication system in UAV data link, and combines the characteristics of dynamic networking and task cooperative communication to design a One Station Controls Several Vehicles dynamic networking communication protocol stack and design the structure and function of the man-machine data link, the terminal device hardware is realized by the FPGA chip. This paper focuses on digital zero-IF signal processing unit design and hardware implementation process. Finally, combined with the terminal to build an indoor test environment, this paper tests the network function and performance. The test results prove that the UAV data link terminal in One Station Controls Several Vehicles dynamic networking is effective, and it is practical.
Probability Analysis of Ship Collision and Grounding in Inland Waterway Based on Big Data Analysis
Authors: Tang Yuheng , Mao Yuankang , Wu Mengjie , Shi Te , Fan Cunlong
Published: April 2020

With the rapid development of technology, mining valuable information from massive data has become an important part of the community. However, there are many deficiencies in the probability analysis of collision and grounding of ships in inland waterways, such as the insufficient use of data. The main purpose of this paper is to analyze the probability of collision and grounding of ships in inland waterways. Initially, big data analysis technology is used to preprocess the massive shipping data, and then the probability of the processed data is calculated by establishing the probability calculation model of collision and grounding. The results show that in the channel intersection area with poor shipping conditions, the increase of ship traffic volume will lead to the increase of ship collision probability; in the case of low visibility and long driving time, the probability of ship grounding will increase.
Short-Term Traffic Flow Prediction Methods: A Survey
Authors: Zhang Yijing
Published: April 2020

As a major part of a smart transport system, the vehicle management system has become an effective means for traffic management departments to control urban road traffic with the advent of smart transportation technology. The short-term traffic flow forecasting provides drivers with the best route as a core engineering of the car guidance system as well as the very relevant mathematical foundation in the field of intelligent transport, improving the traffic management schemes and managing traffic flow by measuring and projecting path flows. This paper mainly aims at incorporating the current mainstream approaches to avoid short-term traffic flow, including the ARIMA, RNN, Sparse Auto Encoder (SAE) and others. We hope that this article will help those who want to delve into it quickly.
Computer Finance Management System Innovation Thinking
Authors: Wu Guoqiang
Published: April 2020

With the rapid development of science and information technology, computer financial management has attracted the attention of enterprises. Computerization of enterprises refers to the use of computers to complete financial calculations, which can effectively reflect the operating conditions of enterprises. The socialist market economy system is gradually improving, and the scale of enterprises and market share are constantly increasing.Actively innovating computer financial management systems to gradually improve the efficiency of corporate computer financial management. Computer information technology plays a very important role in enterprise management, especially after the application of financial management system, computer financial management has a crucial impact on the operation and development of enterprises. This article is mainly aimed at the innovative thinking of computer financial management system, and puts forward opinions and suggestions based on the actual situation.
Review on Evaluation Criteria of Machine Learning Based on Big Data
Authors: Wu Hao , Jun Meng Fan
Published: April 2020

In machine learning in the context of big data, It is indispensable link for the evaluation results and indicators of prediction results. Although it is not as important as the core algorithm, it plays a role in related applications and research fields. The role of horizontal comparison of learning algorithms. The article briefly summarizes and reviews the research results of basic machine learning algorithm evaluation standards. Different evaluation methods are applied to different machine learning problems, and the trends and difficulties of machine learning evaluation methods in the future are analyzed.
Application Performance Prediction in the Datacenter to Accelerate Cloud Servers
Authors: Gao Gujia
Published: April 2020

Nowadays, cloud services become more and more important while datacenters are growing in scale. But the low effectiveness on cloud servers becomes an increasing issue as time goes. In this research, we focus on predicting application performance on cloud servers for acceleration. Linear regression and random forest are used in this study. Random foreset proves to be a precise, stable and effective tool to do performance counter prediction.
Personalized recommendations based on hotel online review data
Authors: Qin Haifei , Xu Wanjin , Zhao Yongchao , Wang Chunlin , Chen Xiaolin
Published: April 2020

With the development of network technology, independent travel is more and more popular. This paper constructs Hotel recommendations based on online review data. Firstly, we are starting from data acquisition, perceive and obtain the data that the online overview from the multi-agent-based on JADE. Secondly, we carry out semantic analysis of online comment data, according to the selecting, filtering, identifying, and merging data features, gain the feature of the hotel. Then, classifies online comment data and ranks hotels using combined feature words. Finally, we provide a personalized recommendation to users.
Research on the Identification of College Students’ Mental Health Problems Based on Campus Big Data
Authors: Ge Liang , She Yanyun , Jia Yu , Yuan Zhongwei
Published: April 2020

In recent years, according to the survey, college students have frequent mental health problems, such as anxiety, depression, inferiority, inter-personal sensitivity and other psychological problems, even the idea of suicide. It has a very serious negative impact on the family and society. If mental health problems of college students can be detected early, counselors can pay more attention to these high-risk students. At the same time, the high-risk students can receive therapies as soon as possible, reducing the harm. Therefore, it is crucial to find an effective method for early detection of mental health problems. This paper proposes a new method to detect mental health problems by analyzing students ’behavior on campus. The datasets include Internet access logs, records of entering and leaving dormitories, and records of consumption in canteens. We built classification models for differentiating the mental health problems of students from normal students. The experimental results show that the proposed method may be useful to improve the performance of public mental health services.
Container-Based Performance Isolation for Multi-Tenant SaaS Applications in Micro-Service Architecture
Authors: Wang Yu , Sun Yi , Lin Zhaowen , Min Jiangsong
Published: April 2020

With the development of cloud computing technology, SaaS has become a popular delivery mode in enterprise applications. Since multi-tenant can share a set of customized software applications deployed on the cloud, it significantly reduces the economic cost of providing software services of the cloud service provider. However, the sharing of cloud computing resources leads to service performance competition among tenants. Therefore, how to ensure that all tenants in the cloud have high-quality services becomes the most concerned issue for cloud service provider. To solve the above problem, our research aims at exploring an effective performance isolation mechanism based on container technology and micro-service architecture in multi-tenant scenario. This mechanism includes an SLA-oriented multi-tenant and multi-instance hybrid deployment scheme and a tenant performance isolation algorithm for microservice clusters, which can effectively reduce the performance competition among tenants, guarantee the SLA of tenants, and improve the cost-efficiency of cloud services. Experiments show that the request latency of the tenant working within their assigned quota can be reduced by 88.1% by applying the proposed performance isolation mechanism.
Distribution of scarce resources based on crowd density detection and queuing theory
Authors: Zhang Tingxuan
Published: April 2020

This paper makes a reasonable estimate of the number of charging stations to be set in each charging station by detecting the density of people near the charging station. Due to the shortcomings of traditional MCNNs that are currently commonly used for population density estimation, we added dilated convolution to the traditional MCNN and applied queuing theory to this problem. The population density estimation result of the MCNN incorporating the reduced convolution is used as the input of the aligned flow, so that the number of charging piles in each charging station is more reasonably set.
Serially concatenated extended CPM scheme based on TDRSS
Authors: Su Linbo , Wang Ningyan , Zhang Yani , Xia Guijin , Xue Yinghui , Lv Jiaoke
Published: April 2020

Tracking and Data Relay Satellite System (TDRSS) can meet the needs of Low EarthOrbit (LEO) satellite real-time transmission, but it also has large Doppler shift, transmission delay and channel fading. Continuous Phase Modulation (CPM), with excellent properties of both bandwidth and energy efficient, are very suitable for nonlinear and/or fading channels such as satellite channel due to the constant envelope nature. In this paper, the CPE in the SCCPM scheme is replaced by the designed ECE to construct a new scheme called SCECPM scheme, in order to enhance the robustness of the signal. Compared with previous SCCPM scheme, the proposed system shows an improvement concerning the convergence threshold and bit-error-rate (BER).
Analysis and Research on the Test Technology of Electric Vehicle Running Performance
Authors: Zheng Tuo
Published: April 2020

The gradual popularization and development of new energy electric vehicles brings not only opportunities but also challenges, such as new requirements for the technical analysis of running performance test. This paper first describes the evaluation index of the operation performance of electric vehicles, and then, based on the key index factors in the detection test of electric vehicles, analyzes the detection test technology and scheme of the operation performance of electric vehicles.
Research on Test Platform of Lithium Battery Management System based on LabVIEW
Authors: Luo Hao
Published: April 2020

With the application and popularization of new energy electric vehicles, the research and design of lithium battery management system is of great practical significance to ensure the normal operation of battery pack and vehicle safety, and improve vehicle performance. This paper first analyzes the design of the lithium battery management system, then designs the upper computer control system, and finally verifies the effectiveness of the lithium battery thermal management system through the system test.
Game Problem and Nash Equilibrium in the Electronic Payment Market with Multi-agent Participation
Authors: Xing Qiudan , Ma Jiahao
Published: April 2020

The rapid development of e-commerce has greatly promoted the popularization of electronic payment methods in China. The electronic payment service of online banking solves the problem of online transaction payment in the early stage of e-commerce development. After the rise of third-party Internet-guaranteed payment services, the problem of mutual trust in online shopping was solved in a breakthrough way, and the electronic payment service model was continuously innovated, and the electronic payment service scene was rapidly expanded and popularized. In this process, the relationship between third-party payment service providers and online banking has evolved from cooperation to competition, and has been developing in the contradiction between competition and cooperation. At the same time, the third-party payment model has brought great challenges to financial supervision. Based on the respective interests of the main participants in the electronic payment market, this paper applies game theory and its Nash equilibrium theory to analyze the optimal strategy choices of the participating entities in the electronic payment market, and gives their respective development strategies.
General model establishment and optimization dispatch of integrated energy system with power-to-gas
Authors: Ma Huan , Zhang Pengfei , Liu Zhe , Yang Yunwei , Li Jianqiang , Hu Xiaolong , Zhang Meixia , Yang Xiu
Published: April 2020

It is an important way to solve the problem of energy environment to use the new energy to run the multi-type energy coupling integrated energy system.Firstly, the mathematical model of power-to-gas (P2G) and electric-to-gas (P2HSS) energy storage system is established in this paper, and then the comprehensive energy system model of power-to-gas is established by using the modeling method of general energy hub. With the goal of reducing costs, reducing emissions, increasing new energy output and increasing P2G and P2H conversion benefits, optimization dispatch analysis was conducted. The numerical example shows that the consumption of new energy in the system is good. At the same time, P2HSS system has a significant effect on peak cutting and valley filling to ensure the economic and stable operation of the system.
The solution about primary frequency modulation of thermal power generating units is proposed based on the smart grid
Authors: Qing Yao Chang , Liu En Ren , Kun Pang Xiang , Kun Han Ying
Published: April 2020

The performance of primary frequency modulation of thermal power generating units taking part in power grid is good or bad which may bring a direct impact on the stability of the power grid frequency. The main problem from the function of primary frequency modulation about thermal power generating units is studied in this paper, and feasible rectification solution for the pressure in front of turbine and steady-state speed regulation is proposed, which provides some technical support for vigorously developing smart grid in our country.
Study on Impact Response Characteristics of Capacitive Voltage Transformer
Authors: Liu Shoubao , Hou Yucheng , Xiong Zhonghao , Fang Yuan , Tong Li
Published: April 2020

Under the impact voltage, the internal capacitive components of the capacitive voltage transformer are subjected to different voltages. Understanding the impulse response characteristics of the capacitive voltage transformer is of great significance for analyzing the internal insulation fault of the capacitive voltage transformer. In this paper, from the disintegration of a 500kV capacitive voltage transformer, based on the actual measurement of the capacitor and its internal components, the distributed parameter model of the capacitive voltage transformer is established. The response of the capacitive voltage transformer to the surge voltage is analyzed under the condition of lightning intruding wave and long line closing. The analysis shows that the capacitive element of the high-voltage side capacitor divider of the capacitive voltage transformer is subjected to the first and last ends of the capacitive voltage transformer. The voltage is higher than other capacitive components; when a partial capacitive component breaks down in the capacitive voltage divider, the voltage drop of the normal component under the same surge voltage increases, which will accelerate the damage of the capacitive component caused by the surge voltage; analysis conclusion and disintegration The results are in agreement and are of great significance for analyzing the internal insulation damage of capacitive voltage transformers.
Integrated Emergency Response for Distribution Network Maintenance and Recovery After Natural Disasters
Authors: Zhao Yanjun , Long Fei , Wang Qian , Cheng Xue , Wang Hongtao
Published: April 2020

This paper proposes a two-stage method of outage management for distribution network maintenance and recovery after natural disasters. In the first stage, all the fault points are clustered based on their distances from the depots and the availability of repair resources. The second stage solves the repair and restoration problems based on clustering results. With the aim of maximizing the picked-up loads in the shortest time, the routing schedule of the fleet is finally obtained. A mixed-integer linear programming model is developed to solve the co-optimization problem, considering the distribution network operation constraints and the constraints of routing repair crews, which are scheduled based on the resource availability, traveling time and maintenance time. The proposed method is verified on the modified IEEE 34-bus distribution system with multiple damages.
Research on the Buoy-rolling Type Power Generation Device Driven by Wave Energy
Authors: Zhang Bo , Wang Tao , Wang Zhuo
Published: April 2020

Marine energy is inexhaustible form of energy. The utilization of wave energy depends on a certain number of energy conversion devices, but most of the aforementioned devices require a high level of the coastal environment and sea conditions, so it is difficult to popularize them on a large scale. In view of this research situation, this paper introduces a wave-driven buoy rolling power device, which has compact structure and convenient installation. The device is distinguished by superior structural strength and low energy transmission loss. Built on the analysis of the working principle of the device, the power calculation is performed and the strength of the key components is checked by the finite element method. Through simulation analysis, the feasibility of the device design is verified.
Research on the Influence of the Formal Characteristics of EWOM on Consumers’ Purchase Intention
Authors: Zhao Nian , Li Xiaolin , Zhang Linbin
Published: April 2020

E-WOM has an increasingly important influence on consumers. Previous researches mostly focused on the influence of e-WOM information on consumers’affection and behavioral intention. From the perspective of formal characteristics of e-WOM, we establishean emotional path that influences consumers’ willingness to behave. Through the data analysis by smart PLS3.0, the influence of the visibility and interactivity of e-WOM on consumer’s emotional experience and purchase intention was verified, and the marketing management inspiration was finally obtained.
Parameter Tuning of PID-I Controller for Optoelectronic Tracking System Based on NSGA-II Multi-Objective Optimization
Authors: Zhang Hanwen , Mao Yao , Liu Qiong
Published: April 2020

In order to solve the delay in the optoelectronic tracking system, some scholars have proposed the PID-I controllerbased on the traditional PID controller. PID-I controller is formed by connecting an integrator in series to improve the system performance of the CCD position closed loop. But how to choose controller parameters is a key factor in determining system performance. The open-loop gain and bandwidth of the system are two important indicators for selecting the controller parameters, but these two indicators are coupled and cannot achieve the optimal performance at the same time. Meanwhilethe multidimensionality of the controller parameters also makes it difficult to set the parameters. In view of the above problems, traditional numerical methods and artificial experience methods cannot obtain good controller parameters. Therefore, this paper uses the NSGA-II multi-objective optimization algorithm to optimize the open-loop gain and bandwidth of the system at the same time by a non-inferior ranking method to achieve the purpose of optimizing the controller parameters. The theory and simulation show that the performance of the optoelectronic tracking system using this multi-objective optimized PID-I controller is better than that of the PID-I controller optimized by numerical methods in closed-loop bandwidth and step response indicators.
Power grid dispatching operation domain division considering voltage stability constraints
Authors: Ning Liaoyi , Zhao Guanxiong , Du Liang , Wang Shunjiang , Chen Yuda
Published: April 2020

The operational instability and scheduling complexity is brought by the high proportion of renewable energy access to the grid. In order to cope with this problem, this paper proposes a method based on the mean voltage stability L-index analysis of stochastic voltage stability and the grid operating domain. This method can quickly find the weakest node in the whole network and help the dispatchers monitor and control the weak nodes. Based on the observation of the voltage stability of the whole network, the grid operation domain division index is proposed, and the grid is divided into different operation domains based on the voltage stability constraint. The validity and correctness of the proposed scheme and indicators are verified by the typical example of IEEE-30 node.
The Influence of LC Filter on the Current Control of PWM-Fed Induction Motor Considering the Effect of Back-EMF
Authors: Ning Zongqi , Mao Yao , Huang Yongmei , Chen Xinglong
Published: April 2020

The high switch speed pulse width modulation (PWM) significantly improves the performance of induction motor. However, this mode of control generates PWM ripples and a wide spectrum of over-voltages at the motor terminal which stress the motor insulation and cause bearing current and electromagnetic interference (EMI). To solve this problem, LC passive filter is widely used because of its effectiveness on limit overvoltage and PWM ripples. This paper discuss the influence of LC filter on PWM-fed induction motor in a different view. The impedance of the motor is decided by its inductance and resistance in traditional research. In this paper, a more accuracy model is built up involving the effect of back electromotive force (EMF). Based on which, the situation of current control is investigated when the LC filter is employed. It is revealed that the inductance of the filter is the key factor of control bandwidth and a method to enhance current control bandwidth while avoid the loss of suppression ability of differential-mode PWM frequency components is given.
The Design of Controller for PMSM Based on DSP and IPM
Authors: Su Zhibin , Kong Xiangyu , Zhang Yulin
Published: April 2020

In this paper, according to the characteristics and operation principle of Permanent Magnet Synchronous Machine (PMSM), a controller of PMSM is designed from the aspects of hardware and software. The electric motor controller is taken as the design target. Firstly, the TMS320F28035, which has a working clock frequency of 60MHz, is used as the coreand the drive. Secondly, the feedback circuits are designed for controllerusing Cadence. Thirdly The FOC control strategy is used to design a PMSM motor controller for verification. The controller uses the PWM signal as the main driving signal, and the DSP’s A/D sampling module and QEP module are the main feedback signals. It adopts the combination of FOC vector control and PI loop control strategy of speed loop and current loop double closed loop to realize motor control. Finally, the CCS software is used for testing to make the motor stable and operate at a higher efficiency, which can achieve better speed regulation.
Realization of Vehicle Remote Fault Diagnosis Based on MATLAB
Authors: Zhang Tianhao , Wu Guofang , Chen Chaozhou , Yang Xiaojuan
Published: April 2020

A fault diagnosis method of anti-lock braking system based on vehicle data flow was proposed and a fault diagnosis software platform was developed for example application. 9 parameters were selected based on the selection principles of fault diagnosis parameters analyzed, and then neural network models were trained and validated by using the 48 sets of test data. Smoothing factor values were adjusted and optimized to achieve 100% accuracy of diagnostic results. The mixed programming technology of MATLAB and Visual Studio was used to develop the software platform. The results show that the neural network model based on vehicle data flow can achieve accurate fault diagnosis and the software platform can realize the function of fault diagnosis.
Wavelet Resonance Demodulation Method and Its Application in Fault Diagnosis of Railway Bearings
Authors: Zhaojin Yan
Published: April 2020

Resonance demodulation method other than other diagnosis methods, such as AR model method and wavelet transform method, is adopted by engineers to diagnose the faults of rotating machinery, but its effectiveness depends to a great extent on how to choose the center frequency and the bandwidth of the filter. Here a new resonance demodulation method based on wavelet is presented, which applies time-frequency transform on the acceleration signals collected and extracts the time-energy signal from the time-frequency spectrum instead of filtering the original acceleration signals and then extracting the envelope. The key part of the method is that a criterion in terms of the minimum of kurtosis factor is proposed and the time-energy signal, which is equivalent to envelope, can be automatically derived from the time-frequency spectrum according to the criteria. The method is applied to the analysis of vibration signals of rolling bearings with outer-race inner ring faults and rolling element faults, and the results show that it performs effectively in fault diagnosis of freight car rolling bearings and performs more effectively than conventional fault diagnosis methods, say, demodulated resonance technology, to extract the fault characteristic.
Design and Implementation of Vehicle Terminal Graphic Interface Based on QT
Authors: Zhang Jianwei , Tian Xingke , Duan Qian
Published: April 2020

In order to monitor the status of vehicles, the advantages of high real-time, reliability and security in embedded technology are applied. Based on iMX.6 ARM processor, the configuration of cross-environment is completed, and the embedded platform is built. An on-board terminal is developed by using open source graphics library Qt, which realizes the dynamic visualization display of vehicle information.
Multi-junction traffic light optimization during holiday based on improved green wave band control
Authors: Yin Mingyue
Published: April 2020

In recent years, urban car ownership has increased with rapid economic development, and urban traffic congestion has become more and more serious. Especially during the holidays, the number of people traveling by car has increased, the pressure on traffic is greater, and the traditional traffic lights are fixed. Far from meeting the needs of the current road conditions. The traditional green wave control is improved, and the intelligent algorithm such as fuzzy algorithm and genetic algorithm is used to solve the green wave period and signal timing. Taking Wuhan as an example, using VISSIM to simulate, the results show that the method effectively reduces vehicle delay and average number of stops, and improves the fluency of urban multi-junction traffic.
Research on Vehicle Control Strategy at Weaving Area under Vehicle-Infrastructure Cooperative Environment
Authors: Du Zhibin , Zhang Qingyu , Zhao Pengchao , Yuan Shoutong
Published: April 2020

In this paper, the typical driving behavior of vehicles at urban road weaving area is studied and the causes of low safety and efficiency are analyzed. To improve traffic efficiency, the vehicle control strategy at weaving area is proposed through the vehicle-infrastructure cooperative technology. The simulation scenario is built in VISSIM, and the control strategy and input parameters are simulated and compared. The simulation results showed that the dangerous driving behaviors can be avoided such as forced parallel and emergency braking caused by the lack of proper driving decisions. The speed and passing rate at weaving area were obviously increased and the delay was obviously reduced. It is of great significance to improve traffic efficiency, ensure traffic safety and reduce energy consumption.
Centralized Interference Coordination of Cluster heads for UAVs Swarms
Authors: Wang Guisheng , Wang Yequn , Zhang Wenhe , Sun Qilu , Zhang Yujie
Published: April 2020

In this paper, we coordinate the challenging interference problem of UAVs swarms as to maximizing the throughput of networks with Doppler frequency shifts and jamming, a hierarchical framework of group-centric network is considered for manned aerial vehicles operated in time division duplex (TDD) modes. In this case, according to different frequency division duplex (FDD) modes in cluster heads and sub-networks, the approximate methods for cross-tier and co-tier interferences are derived. Furthermore, an interference coordination algorithm is proposed to achieve a better trade-off for the performance of UAVs swarms based on dynamic particle swarm optimization (PSO). Simulation results compared with traditional optimization algorithms, demonstrates the proposed algorithm can improve the overall throughput significantly.
Risk Assessment Research of Urban Road Traffic Safety Based on Extension Matter Element Model
Authors: Shan Yao LIU , Song Yinghua , Dan Liu
Published: April 2020

In order to improve the urban road traffic safety early warning ability and traffic safety situation, this paper expounds the relationship between the main factors affecting traffic safety and traffic safety from macro and micro aspects. Then the evaluation index system of urban road traffic safety is constructed by selecting four factors including pedestrian, vehicular, road and environment. And the index weight are determined by the entropy weight method, the traffic safety evaluation model is established by extension theory, so it can make a qualitative and quantitative analysis of road traffic safety. Finally, Wuhan City is used as an example to verify the established index system and evaluation model, after determining the evaluation level according to the actual situation of urban road traffic safety, the constructed matter element model is applied to the evaluation of urban road traffic safety status in Wuhan. It is concluded that the safety level of the actual roads in Wuhan is three levels, and the safety is moderate and needs to be improved.
Financial Risk Forecasting based on Random Subspace Ensemblesof Support Vector Machines: A study of Chinese commercial banks
Authors: Ding Dechen
Published: April 2020

A model based on random subspace ensembles of support vector machines is proposed to forecastrisk of Chinese commercial banks. For one thing the results show that the proposed model performed dramatically betterwhen compared with the remaining ensemble learning algorithms, such as bagging, dagging, multiboosting and adaboosting.For anotherthe results show that support vector machines could be availably applied as base learners in the ensemble learning model when compared with multilayer neural networks (MLPs), which have been perceived as benchmark methods during previous studies. Another vital finding of the paper is that macroeconomic conditions indexes play an important role in financial risk forecasting.
Feasibility Analysis on the Application of 3D Printing Technology on Municipal Roads
Authors: Jueru Huang
Published: April 2020

3D printing technology is an emerging technology; it can be used in various fields and has successful cases in all areas. And at present, the widespread application of 3D printing technology in construction engineering is concrete pouring. In construction, the application of 3D printing technology greatly shortens the construction period and reduces the consumption of manpower and molds compared with traditional structure. However, due to various factors such as immature technology and material selection, most of these successful examples of buildings using 3D printing technology are middle and low-rise buildings. Because of the complexity of the construction project itself, then, we can try to show the advantages of 3D printing technology perfectly in other directions in the field of architecture. It is in road engineering, the primary material of our construction is all kinds of concrete, and the 3D printing technology of concrete in the whole field of the 3D printing technology has been relatively mature and can be widely used. Combining the characteristics of the construction technology, working procedure, and materials in the municipal road, the 3D printing technology can maximize the benefit ofroad engineering in the construction of the municipal road.