bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Impact Response Characteristics of Capacitive Voltage Transformer
Authors: Liu Shoubao , Hou Yucheng , Xiong Zhonghao , Fang Yuan , Tong Li 
Published: April 2020

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Innovative Experimental Design of Modular Robot Platform
Authors: Yu Feng Men , Fei Wang 
Published: April 2020

Abstract
In the current process of innovation education and practical teaching in universities, robot teaching and innovation experiments are important research topics. And with the continuous development and improvement of artificial intelligence, in the current process of innovative research on robots, more attention has been paid to the design of robotic automation and intelligent systems. It has significant meaning to the design and analysis of robot motion control and the improvement of robot research. The introduction of the modular robot platform into the teaching and research process can improve students ‘ability to independently design and develop robots, and it also can expand students’ knowledge of robot-related knowledge. In addition, the use of modular robot platforms can introduce task schemes as teaching cases and carry out hierarchical teaching modes, which is of great help in guiding students to carry out robot innovation research. When using the modular robot platform to carry out innovative research and design, it is necessary to pay attention to constructing an innovation experiment group. In this research, the writing robot developed by students is used as an object to design and study an automated system for robots to control writing brushes. The use of this experimental innovative design method can greatly enhance students’ enthusiasm for innovation, stimulate students’ interest in robots, and is of great help in cultivating students’ creative thinking and ability.
MSTP Protocol Simulation Experiment Based on ENSP
Authors: Chen Juan , Zheng Xueqiang , Zhang Lei , Peng Laixian , Liu Xi 
Published: April 2020

Abstract
Spanning tree protocol is one of the most important protocols for two-layer network devices. It can effectively avoid the broadcasting storm under the condition of multi-switch interconnection, but its working process is It is difficult for students to understand its core principles in the teaching process. This paper takes MSTP as an example, which is the most difficult to understand in spanning tree. Based on a simple case, we use eNSP network simulation software to build the experimental framework, give the configuration process and analysis the captured packets. Through this experiment, students can understand the function of the multi-spanning tree protocol more intuitively, and realize the network traffic load balancing through configuration.
Fault Attack of SMS4 Based on Internal Collisions
Authors: Zhu Renjie , Ou Qingyu , Luo Fang 
Published: April 2020

Abstract
A fault attack of SMS4 based on internal collision is proposed. The method assumes that the attacker can attack under the condition of selecting plaintext, and adopts the byte-oriented random fault model to successfully recover the original key by injecting the fault in the first few rounds of the encryption algorithm of the SMS4. Theoretical analysis and experimental results show that the 60 fault injections can successfully recover the original key of the SMS4, with a probability of over 99%. If the attacker can control the location of fault injection, then only 16 fault injections are needed to successfully recover the original key of the SMS4. In general, 30 to 40 fault injections can successfully restore the original key.
Design of the Tree Growth Array Ultra Wideband Antenna
Authors: Li Zhenchang , Lin Bin , Pan Yilang , Chen Linpeng , Tang Di , Yan Yipeng 
Published: April 2020

Abstract
According to the performance requirements of the antenna for multi-network wireless communication terminal equipment, the present paper originally combines the structure of inductive multi-line antenna with the tree growth array, designs a tree growth array ultra-wideband antenna, and we also complete the production and the test of antenna samples. The measured results show that the antenna has stable ultra-wideband performance and can work in mobile communication systems, radio frequency identification systems, ultra-wideband communication systems and mobile digital TV systems at the same time. It has excellent compatibility and it is also a performance microwave frequency band multi-network and one terminal device antenna.
Design of the Ladder Multi-slot Fractal Split Growth Array Antenna
Authors: Pan Yilng , Lin Bin , Li Zhenchang , Chen Linpeng , Tang Di , Yan Yipeng 
Published: April 2020

Abstract
According to the performance requirements of the ultra-wideband multi-band compatible antennas for microwave band multi-network integration systems, the present paper originally combines the structure of ladder multi-slot, “Embedded” slot fractal iteration and the split growth array, designs a ladder multi-slot fractal split growth array antenna. The result of test indicates that this antenna can completely cover all working frequency bands of the mobile communication system, the frequency bands of the radio frequency identification system, the frequency band of the ultra-wideband system and the frequency band of the mobile digital TV system. With the advantages of small size, high radiation intensity and stable radiation characteristics, it can be applied to large-scale applications in the multi-network system of microwave frequency band.