bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental Study of Flood Gun
Authors: Chenhui Deng , yan Wang , Junbiao Liu , Li Han 
Published: June 2020

Abstract
Using the flood gun is a common and effective way to eliminate the charge buildup, which is mainly used in electron optics based devices such as CD-SEM, X-Ray Photoelectron Spectroscopy (XPS), Auger Electron Spectroscopy (AES), Secondary Ion Mass Spectrometry (SIMS), Electron Probe Micro Analysis (EPMA) and Ion Implanter. The characteristics of the beam play a decisive role in eliminating the effect of charge buildup, which directly determines the effect of using the related equipment. It is difficult to measure accurately and comprehensively the performance of the beam by using the current testing methods for the flood gun. In this paper, a method for measuring beam spot by using a Faraday cup aperture is proposed, and a test system is set up based on this method. Experiments on this test system have successfully achieved accurate and comprehensive measurement of the beam spot performance. The in-depth analysis of the beam spot performance has a guiding significance for the optimization of structural design and installation of the flood gun. At the same time, it contributes to the prediction of the experiment.
An improved support vector machine classifier based on artificial bee colony algorithm
Authors: Cao Yongcun , Ji Saisai , Lu Yong 
Published: June 2020

Abstract
Support vector machine (SVM) has unique advantages in the classification of small sample data. The selection of parameters has an important impact on the classification accuracy and generalization ability of SVM. Since the selection of parameters of SVM is usually based on experience, an improved SVM classification model based on artificial bee colony algorithm (GOABC-SVM) is proposed in this paper. In this model, firstly, the traditional artificial bee colony algorithm is optimized using the ideas of global optimal solution guidance and opposite learning. Secondly, we set the reciprocal of classification error rate as the fitness function, and use the improved artificial bee colony algorithm to obtain the optimal parameter combination of SVM. Experiments on a set of datasets of UCI show that the proposed model has higher classification accuracy and better generalization ability.
Microwave Photonic Phase Shifter with frequency up-/down-conversion
Authors: Chen Dou , Ma Jianxin 
Published: June 2020

Abstract
In this paper, we propose a microwave photonic phase shifter with frequency conversion (MPSFC) without optically filtering to realize both frequency up- and down-conversion and a full 360º phase-shift for the microwave signal based on an integrated dual-polarization dual-parallel Mach-Zehnder modulator (DP-DPMZM). As the radio frequency (RF) signal is frequency down-converted to intermediate frequency (IF) signal or the IF signal can be frequency up-converted to RF signal, the phase of the output IF or RF signals can be shifted by adjusting the DC bias voltage of PolM. Simulation results demonstrate that both 360º continuously tunable phase shift and frequency conversion can be implemented simultaneously.
Robust correlation filter that combined temporal regularization with spatial weight L1 constraint
Authors: He Xin , Duan Shukai , Wang Lidan 
Published: June 2020

Abstract
The parameter optimization of the Object tracking algorithms has achieved excellent performance based on parameter regularization. Adaptive spatial regularization correlation filter can obtain the optimal weight coefficient for a specific target. Inspired by this, we propose a filter combined temporal regularity with spatial L1 regularization (LTASRCF). The time regularizer is used to remember the data of the previous frame to update the current target position. It performs well in the process of occlusion, deformation and motion blur. Meanwhile, L1 regularization of spatial weights reduces the computational complexity of the coefficients, and improves the robustness of the spatial weight matrix. We have conducted comparative experiments on the OTB-2015 dataset, and the proposed LTASRCF model ranks first among the five popular algorithms, which outperforms by 9.2% and 18.9% than KCF, respectively, and reaches real-time performance.
Feasibility Analysis and Protection Measures of Live Working on the multi-circuit Transmission Lines on the Same Tower
Authors: Zhenyu Ma , Chao Chen , Leijiao Ge , Binbin Wen , Jinhui Zhou , Ziling Wang 
Published: June 2020

Abstract
Live line operation is the most direct and effective means for the maintenance of multi-circuit transmission lines on the same tower. It is also a special operation mode developed to improve the reliability of power supply and the safety of power grid. Therefore, it is necessary to analyze the feasibility of live line operation of multi-circuit transmission lines on the same tower. In this paper, 110 kV, 220 kV and 500 kV multi-circuit transmission lines on the same tower are taken as object, and the safety analysis of live working is carried out for typical working positions. According to the results of operation impact discharge test, the risk rate and safe working distance of live working are obtained; Finally, the minimum effective insulation length of load-bearing tools and operation tools is calculated.
Improved ip-iq Reactive Current Detection Method Without PLL
Authors: Zhao Qian , Liu Shulin 
Published: June 2020

Abstract
As the traditional d-q transformation method is not sufficient in detecting the three-phase asymmetric components, a new detection method in which a single phase voltage is input to a differentiator to get an orthogonal differential is proposed. The synchronous rotary angle can be obtained by using the orthogonality relationship based on mathematical relationship. The new detection method is suitable for both asymmetric load and asymmetric supply voltage systems. The effect of time delay caused by phase-locked loop (PLL) is eliminated without using PLL circuit to obtain synchronous rotation angle in the detection process. The phase shifting deviation is solved without shifting the phase of three-phase current. The unbalance degree of input voltage in Static Synchronous Compensator (STATCOM) is effectively reduced by using this method. Simulation and experiment results show that the proposed method is valid and feasible.
Research on Simulation Training System for Substation Equipment Maintenance
Authors: Wu Yichun , Fang Xuelei , Men Fuyuan , Qin Xiaojia , Zhou Lei 
Published: June 2020

Abstract
Substation equipment is the core component of substation. The occupational skill level of the operation and maintenance personnel is directly related to the safe and stable operation of power grid. Obviously the training for substation equipment maintenance is essential. Virtual simulation training platform for substation equipment maintenance is an effective tool to improve the practical skills of maintenance personnel. Therefore, a realization scheme of the substation equipment maintenance simulation training system is mainly researched in this paper. By configuring maintenance tasks and equipment defects, the automatic generation of equipment maintenance virtual operation scenes and three-dimensional equipment models can be realized in the training system, thereby accomplishing flexible configuration of training tasks. Besides, trainees can be evaluated via the establishment of the maintenance evaluation model. In the actual training application, the equipment patrol and inspection as well as the maintenance process are simulated in the virtual substation scene, which can effectively improve the maintenance skill training effect.
Modal Analysis of Three-dimensional Model of Turbogenerator Stator End Windings
Authors: Liu Yiling , Bao Xiaohan , Li Xinghong 
Published: June 2020

Abstract
Concerning the structural complexity of large-scale turbogenerator stator, this research aims at establishing the windings model of the large-scale turbogenerator stator ends by using ANSYS, including the ends of upper and lower condutor bars, spacer blocks between adjacent condutor bars, and inter-layer rings between the upper and lower condutor bars. Moreover, the modal analysis of the stator end windings was performed with the help of ANSYS, and the parameterized finite element analysis was further conducted on the space blocks that may affect the overall structural mode and natural frequency of the ends, and the influence trend of the space blocks on the natural frequency of the elliptical mode was obtained. It provides a reference for the design of the generator end structure and its improvement, and also provides a basis for the subsequent research on the electromagnetic vibration of the end windings and the stator windings.
Energy model of pumped hydro storage station
Authors: Li Huafeng , Guo Zhizhong , Ding Zhe 
Published: June 2020

Abstract
In order to meet the design and operation requirements of uncertain renewable energy accommodation in power grid, this paper establishes the energy model of pumped hydro storage station, including energy water head, energy storage and the relationship of conversion between power and energy. The energy water head which directly describes the potential energy of water storage of upper reservoir is different from the conventional water head; the change of supply water storage has obvious influence on the energy water head, and the conservation of the energy water head increment describes the influence of the change of supply water storage on energy water head; energy storage is determined by the water storage of upper reservoir and the energy water head; energy storage capacity is determined by the power generation storage capacity and the rated energy water head; the sensitivity analysis shows that the change of the water storage of upper reservoir is the main cause of the energy storage change. The concept and construction method of the storage function are put forward to calculate the energy storage situation quickly.
Impact of Wind Power and Photovoltaic Grid Connection on Subsynchronous Oscillation of Thermal Power
Authors: Dai Chen , Xu Tao 
Published: June 2020

Abstract
Wind power, photovoltaic and thermal power bundling are the main forms of large-scale new energy grid connection and power transmission. Based on the IEEE’s first standard model, this paper incorporates direct-drive fans and photovoltaic systems. The transform method analyzes the effect of direct-drive wind turbines and photovoltaic grid-connected power on sub-synchronous oscillation of thermal power. Simulation results show that appropriately increasing the photovoltaic grid-connected capacity can increase the electrical damping of thermal power in the wind, solar and fire delivery system.
Research on the Strategy of Failure Recovery in Smart Grid
Authors: Ma Cong , Guo Jiyuan , Liu Jian , Ren Yu 
Published: June 2020

Abstract
With the development of China’s comprehensive construction and the upgrading of industrial system, China began to transform from energy-consuming and high-pollution society to energy-saving and environment-friendly society. Knowledge-intensive and equipment-intensive industries are on the increase, which causes the increasing demand for the stability of electricity supply. At present, the problem of transmission over distribution still exists in the power grid construction of China. In power systems over 110 k V, the strategy of non-homologous dual power supply is adopted to guarantee power supply. When a circuit trip occurs, the spare line can be used to continue the power supply, so the existing domestic main network system has a high reliability. The main function of the distribution network system is to connect the user and the main network, which is an important link of power transmission. In the future of the development of intelligent power network, the original parts such as mobile voltage transformer and current transformer can be used to locate the fault position after the physical fault occurs in the distribution network, and automatic reclosing device can be used for fault isolation and fault recovery. How to use the optimal strategy to make the controllable automatic reclosing device be used for switching operation after the physical failure of the distribution network so as to ensure the reliable power supply of the distribution network, has become the focus of power network hoisting service.
Reinforcement Learning-Based Interference Avoidance in Cognitive Radio Networks
Authors: Chen Jinhua , Zhang Luyong , Wang Ao 
Published: June 2020

Abstract
Cognitive radio is an important technology developed by the next generation of wireless networks to effectively use limited spectrum resources and meet the rapidly growing demand for wireless applications and services. However, reliability is very important but not well-resolved problem in cognitive wireless networks. In this paper, we focus on the algorithm of interference avoidance in the presence of secondary user with traditional power control capabilities. Using the reinforcement learning algorithm based on proximal policy optimization, and adjusting its own transmit power, secondary user achieves its own quality of service requirements. Through experiments, it is proved that the algorithm used in this paper can not only deal with different secondary user power control strategies, but also show good stability in the changes of wireless environment noise and small amount data of the environment.
Research on Islanding Strategy for Fault Recovery of Distribution System with Micro-grid
Authors: Ma Cong , Zhang Shuai , Guo Jiyuan , Ren Yu 
Published: June 2020

Abstract
In order to adapt to the actual situation of power distribution system fault recovery with micro-grid, a recovery strategy for micro-grid to operate on island with important system load at first under fault conditions is hereby studied. Due to the weak overload capacity, large fluctuation and obvious influence of weather and time period of renewable energy in micro-grid, the dynamic changes of distribution generation and loads in non-fault power loss areas should be considered as much as possible when generating islands. According to historical data, the daily random fitting functions of photovoltaic power generation, fans and various loads are respectively generated by using respective optimization models. For judging the start and duration of the fault, using the fitting function to set the fitting power value of each unit in the distribution system and other information, and calculating the dynamic importance information of each load node as the heuristic condition for subsequent island search. The search strategy in this paper is to guide the load added to the island according to the dynamic importance of the load, and to analyze the reliability of island operation. This method controls the direction of island search, and gives priority to ensuring the recovery of important loads. At the same time, it can ensure the balance between the stability of island generation and the maximum utilization of renewable energy.
A low-voltage with high pumping efficiency charge pump for flash memory
Authors: Xie Yu , Huang Shengming , Xue Yuming , Duan Quanzhen 
Published: June 2020

Abstract
This paper proposed a high efficiency of power conversion and high pumping gain charge pump applied to the field of low power consumption like flash memory. The threshold voltage drop, body effect and the undesired charge transfer are three significant factors limiting the pumping gain and power conversion efficiency. In order to solve the threshold voltage drop and body effect, the charge transfer switches (CTS) are utilized in the proposed charge pump. What’s more, an optimized substrate control strategy and body-source diode are applied to eliminate undesired charge transfer for improving power efficiency. And a complementary branch scheme is employed to reduce the output voltage ripple. The proposed charge pump is implemented in SMIC 0.18 um standard technology and the simulation results indicate better performance and high efficiency of power conversion. The proposed charge pump satisfies the relevant specifications of the charge pump applied to flash memory.
Multi-objective Distribution Network Reconfiguration Optimization Considering Space Allocation of Electric Vehicles
Authors: Yanhui Tao , Weijia Yue 
Published: June 2020

Abstract
This paper explores the space allocation method and fuzzy C cluster processing method of electric vehicles, establishes a multi-objective distribution network model, solves the calculation process of the model, and verifies the feasibility of this research through simulation analysis method, thus providing help for orderly charging of electric vehicles and reducing line loss.
Research on Intelligent Shift Control Strategy of The Loader Based on Radial Basis Function Neural Network
Authors: Wu Guanghua , Ma Wenxing , You Lipeng 
Published: June 2020

Abstract
One of the key issue of the automatic shift control of the loader is how to find the best gear for the current conditions according to certain mapping relation, but this complex and non-linear mapping is difficult to express by mathematical relation. However, to solve such non-linear problems, RBF neural network is the very choice. This paper presents an RBF neural network intelligent shift control strategy method based on improved genetic algorithm. The genetic algorithm’s global search ability is improved by adaptively adjusting the crossover probability and mutation probability. The genetic algorithm is used to optimize the RBF neural network expansion coefficient and reduce the tediousness of adjusting parameters during the network learning process. The feasibility of this method was validated by the bench test of the intelligent shift test system for loader automatic shift control. The theory was provided for the development of intelligent automatic shift control for construction machinery. The basis has high engineering application value.
Design of Simulation Test Platform for Charging Pile Control System
Authors: Li Guojian , Ding Libo 
Published: June 2020

Abstract
A fully functional, safe and stable electric vehicle charging pile is a necessary condition to ensure the widespread promotion of electric vehicles. At present, due to lack of testing methods, a large number of charging pile manufacturers have not performed a systematic test on their charging piles before leaving the factory. These defects make the real availability of charging piles put into operation in the market very low, and it is difficult to meet the charging needs of a large number of charged cars. To solve this problem, this research chooses to develop a simulation testing platform for charging pile control system based on semi-physical simulation technology.
Adaptive speed control of PMSM for energy storage process of MEES
Authors: Zheng Xiaoming , Zhang Jianwei , Deng Jiaojiao , Zheng Yuming , Wang Peng 
Published: June 2020

Abstract
Mechanical elastic energy storage (MEES) system completes the energy storage process through permanent magnet synchronous motor (PMSM) rotates and tightens the energy storage boxes which contains large spiral torsion springs (STSs) to convert electrical energy into elastic potential energy. The torque of the storage box is gradually increased while the moment of inertia is gradually reduced in the process of energy storage. Thus, this paper proposed an backstepping control scheme with torque and inertia adaptive law and the stability was proved in the sense of Lyapunov theory. The effectiveness of the proposed scheme was verified through hardware experiments. The results indicated that the proposed scheme ensures the speed to track the given value rapidly and the energy storage process can be carried out smoothly.
Linear Feedback Control of Chaotic Motion in Gear Transmission System
Authors: Wang Junguo , Yao Zhaoyuan , Sun Rui , Haseen M. F. 
Published: June 2020

Abstract
Considering the internal and external excitations such as backlash, time-varying mesh stiffness (TVMS), transmission error and friction force, a lumped mass model of the spur gear system is established. On this basis, the influences of the support stiffness on dynamic response including bifurcation diagrams, time response diagrams, amplitude-frequency spectrums, phase plane diagrams, Poincaré maps are examined by using numerical method. To avoid the system moving in the unstable region, a linear feedback control method (LFCM) in the gear system is realized. Numerical simulations show that the LFCM is effective and feasible, hence the gear system can be controlled from chaotic motion to stable periodic orbits by using the appropriate control parameter.
Research on Motion Control of the 2-DOF Packing Robot
Authors: Wang Peng , Yu Liang , Miao Lei , Zhang Long 
Published: June 2020

Abstract
Under the strategic background of “made in China 2025”, industrial robots are more and more widely used in the automatic production process. In this paper, the motion control system of the bearing packing robot is studied. The hardware of the system is mainly Delta PCI-DMC-B01 12 axis motion control card based on computer PCI bus, which is connected through DMCNET network and sends control instructions to the two axis servo driver of the robot. The system software is written in LabVIEW environment, including trajectory generation and transmission, zero calibration of robot mechanism, robot teaching, motion parameter setting and other functional modules. Taking the zero calibration function test of robot as an example, the union test of the control system is carried out. The results show that the hardware and software system can work coordinately. The zero calibration experiment provides the basis for the development of other motion control functions and lays the foundation for the application in production.
Dynamic Analysis of sprint burst based on coupled Fuzzy Control
Authors: Tao Wu 
Published: June 2020

Abstract
The dynamic analysis of sprint burst based on coupled fuzzy control is studied. through theoretical analysis and computer vision simulation, the detailed data are obtained and applied to sprint training. Computer simulation technology is used under the computer vision simulation platform, the dynamic model of sprint burst movement is analyzed, and the dynamic mathematical model of sprint explosive force joint is constructed. The limb mechanical characteristic parameters under sprint burst action are obtained. Based on the coupling control method, the characteristic analysis and information parameter estimation of sprint burst dynamics are carried out. The sprint starting model and sprint model are constructed respectively. The mathematical modeling and lower extremity mechanical analysis of two sprint burst motion modes are carried out. The torque of bone and joint is calculated, and the theoretical calculation value and simulation value are obtained. Finally, the visual simulation of sprint burst mechanics is carried out with ADAMS software, and the simulation values and theoretical values of the characteristic parameters of sprint burst dynamics are obtained, and the comparative analysis is realized. Through the simulation results, the optimal power model control under sprint burst mode can be realized. The research results will provide effective theoretical guidance for sprint training, optimize the training methods and improve the training effect.