bluuebunny/crossref_metadata_2025_split huggingface dataset:
Security Monitoring of Railway Power Cable Joints Based on AD7606 AC Synchronization Sampling
Authors: Liu Jiajun , Du Zhiliang 
Published: August 2019

Abstract
To avoid the frequent accident of burning loss of railway 10kV power cable joints, an online monitoring device is developed based on tanδ, the tangential value of loss angle of the cable’s main insulation, and other state variables, to carry out real-time monitoring and safety evaluation of the cable’s running state, so as to timely alarm and predict hidden accident danger for abnormal cable joints. The measurement of tanδ adopts a frequency correction method based on AD7606 AC synchronous sampling and FFT phase difference frequency correction, which can avoid the spectrum leakage effect of asynchronous sampling and the phase-locked loop synchronization circuit with complicated cost. This paper regards the current source of grounding wire of railway cable when no electric locomotive passes through the railway electrical section as leakage current of the main insulation of cable. Tanδ is monitored by collecting and processing the voltage of cable bus-bar potential transformer and the current of cable grounded wire.
Research and Simulation of High Precision Signal Generator Based on Single Chip Microcomputer
Authors: Yue Jiaxin , Pu Aimin , Zhao Jingzhe 
Published: August 2019

Abstract
The function signal generator uses the integrated circuit IC8038 for signal generation. After filtering, signal amplification, relay network signal strobe, and resistor divider, it outputs square wave, triangle wave and sine wave with adjustable amplitude ranging from 0V to 10V and adjustable frequency ranging from 100Hz to 20KHz. The relay network is controlled by the single-chip STC12C5A60S2, and the signal selection and output are controlled by the single-chip microcomputer, too. The function signal generator can generate triangular, square and sinusoidal signals from 100HZ to 20KHZ. It has the characteristics such as low cost, good signal quality and easy operation, thus improving the intelligence level of the signal generator.
Design of Safety Drive Module for DC Switch Machine without Relay
Authors: Ren Xiguo , Ding Huan , Han Shuai , Ge Shumin 
Published: August 2019

Abstract
Aiming at the shortcomings of centralized control in the railway signalling system interiorly. This paper introduces a safety driving module of the DC switch machine, which utilizes the advanced power electronics technology based on the “Failure-Safety” principle and could reach SIL4 level. The module is directly installed in the trackside control cabinet. After receiving the control command of the control centre, the module could ensure safe and reliable operation trackside DC switch machine without relay. At the same time, the module solves the problem of current surge when the DC Switch Machine is starting operation. The module is running stable, strong practicability by experiment. It will play an important role in the distributed trackside control system.
Research on Collaborative Method of Road Smart Lighting
Authors: Wang Zun , Wang Zhisen 
Published: August 2019

Abstract
Road Smart Lighting uses networked street lights and smart models for research and application, enabling them to meet the different needs of urban road lighting dynamically. The article goes deep into the understanding of the concept of smart lighting and clarifies the difference between intelligent lighting and smart lighting, which is of great significance for the application optimization of smart lighting. According to the road lighting standard, this paper proposes a street lamp terminal coordination scheme based on the perception layer to solve the problem of insufficient linkage of street lamp terminals. In addition, the energy consumption caused by the "Constant light mode" in road lighting and the lack of coordination and coordination of streetlight terminals in the lighting control system is improved.
Oracle RAC performance Comparison on Physical Servers and VMware VSAN Servers
Authors: Wei Ying 
Published: August 2019

Abstract
The physical performance of the Oracle RAC hardware architecture directly affects Oracle’s output performance. In this paper, we perform performance tests on three Oracle RAC hardware architectures, and the test data is simulated using real teaching management system data on campus. The simulation results show that the two new oracle RAC hardware architectures are respectively occupied by the TPM and IOPS indicators, and the overall is stronger than the traditional external storage architecture.
Application of Mechanical Automation Technology in Manufacturing
Authors: Qian Xuejun , Wang Shenyin 
Published: August 2019

Absrtact
With the continuous emergence and development of high-tech industry, more and more fields began to try automation technology, and under the promotion of automation technology has made extensive achievements. In this paper, the concept and components of mechanical automation technology are analyzed through the practical application of automation technology in the field of mechanical manufacturing. This paper discusses the main application fields of automation technology in mechanical design and manufacturing industry, such as the contribution of computer, virtualization, intellectualization and so on, as well as the improvement of enterprise competitiveness and product quality, in order to promote people’s understanding of automation technology.
Design of PMSM Speed Control system based on simulink Model
Authors: Liu Wengliang , Xu Pengfei 
Published: August 2019

Abstract
The application of motor speed control system in industrial production, automatic control, aerospace and other fields is more and more extensive, but more and more complex speed control system makes the programming of digital controller become more and more difficult.This paper presents a simulation model of permanent magnet synchronous motor (PMSM) speed control system based on magnetic field oriented control (FOC) based on MATLAB/Simulink software, through which the executable code engineering files of DSP are generated automatically.In addition, the algorithm model built by Simulink is only suitable for the pure software environment, and the model can not be directly applied to the actual digital control.Therefore, this paper first builds the FOC control model based on pure software simulation, then converts it into a pure discrete control model. Finally, by configuring some necessary parameters, the model automatically generates DSP executable C language code.This method accelerates the development speed of digital controller code in the speed regulation system, reduces the difficulty of the system code development, and has great practical application value.
A Positive Feedback Mechanism of Adaptive Dynamic System
Authors: Wang Pengchao , Chen Fucai , Cheng Guozhen 
Published: August 2019

Abstract
Address dynamic technology can effectively counter reconnaissance of attackers, protect Intranet hosts by hiding their real addresses. This paper combines address dynamics technology with honeypot technology, and provides adaptive strategy guidance for address dynamics by analysing attackers’ scanning tendencies. This paper designs and implements an adaptive dynamic system(ADDS) that disguises IP and MAC adaptively based on SDN. The experimental results show that the MAC and IP adaptively dynamic can achieve the optimal balance between benefits and costs, effectively deceive attackers who are sniffing in the internal network, delay the detection speed, reduce the success rate of the attackers in identifying the host, and interrupt the continuity of network attacks.
Robust control of refrigeration system based on disturbance observer
Authors: Shang Yujia , Liu Xiaojing , Lu Tielin 
Published: August 2019

Abstract
This paper presents a robust control algorithm combining the disturbance observer to compensate the serious parameter perturbation and model uncertainty in the refrigeration system. The nonlinear disturbance observer is designed to estimate the composite disturbance value. Based on the 5th-order simplified model of the refrigeration system, the sliding mode control method is designed for the evaporator and the condenser respectively to compensate the disturbance. Comparison result with the integral nonlinearity method demonstrates the superior capability of the proposed method on disturbance rejection, which can effectively guarantee the efficient and stable operation of refrigeration system.
Design and Modelling of a Hydraulic System for Detecting Solenoid Valve Based on Bond Graphs Method
Authors: Fan Xiangwen , He Yongyi , Fang Minglun , Cheng Pengfei 
Published: August 2019

Abstract
A novel system is developed in this paper for detecting solenoid valve which is a key component in many industries as automobiles, power equipment, chemical engineering, etc. The numerical model of system is developed by the Bond graphs method, which is widely utilized because they enable easy identification of the parameter process and consider interactions within the hydraulic system. The system model is divided into mechanical section, hydraulic section and electromagnetic section and established to analyse the dynamic performance of the system respectively. Simulations are implemented to verify the rationality of the designed system. In the end, it demonstrates that the simulations results are consistent with the pressure control law of solenoid valve, and the designed system can meet the detecting requirements of solenoid valve.
SDN Flow Entry Adaptive Timeout Mechanism based on Resource Preference
Authors: Li Ziyong , Hu Yuxiang , Zhang Xueshuai 
Published: August 2019

Abstract
Software-defined networking brings rich and more efficient means to network control management. However, the fixed timeout mechanism of flow entry causes the waste of flow table resources and controller computing resources. This paper proposes an SDN flow entry adaptive timeout mechanism. The mechanism allocates a suitable timeout for different flows based on the characteristics of the data flow, and dynamically adjusts idle timeout value to prevent the flow table from overflowing. The experimental results show that the proposed adaptive timeout mechanism can make full use of flow table resources and controller computing resources to achieve higher average network throughput.
Research on Power System Automation Communication Technology for Smart Grid
Authors: Chen Junsong 
Published: August 2019

Abstract
The development of distribution network automation is the inevitable result of electricity market and economic construction. Nowadays, both enterprises and households have put forward higher requirements for the power quality of power grid companies. This forces power companies to ensure continuous power to users, and in the event of a power outage, the normal delivery of power should be restored in the shortest possible time. Therefore, this paper designs a distribution network automation communication system, which provide the functions of data collection, data processing, remote control, distribution network analysis application, etc. It can ensure the reliability of power supply, shorten the time of power failure, and effectively improve the operation management level.
Modification Simulation Research on Handle Speed of Faucet Test System
Authors: Li Bin , Xu Jingyuan , Chen Jie , Sun Jianguo 
Published: August 2019

Abstract
In order to improve the accuracy and the repeatability of the faucet sensitivity test in the faucet test equipment, this paper proposes an improved scheme for adding a camera system into the rotation control device. This paper first explains the working principle of the rotation control device, then establishes and analyzes the motion model of the motor driven faucet handle rotation, and then proposes a motor speed compensation scheme based on the image processing result according to the model. The accuracy of the faucet handle speed under the compensation scheme is obviously improved.
Human Acupoint Positioning System Based on Binocular Vision
Authors: Lin Sheng , Yi Pinqiao 
Published: August 2019

Abstract
To realize accurate positioning and recognition of human acupoints in medical treatment, the automatic human acupoints recognition system based on computer binocular vision technology is considered by us. We studied a camera calibration method by plane calibration lattice. To verify and accurately locate human acupoints in medical treatment, the method adopted the principle of binocular vision technology to collect different images of human body limbs to obtain three-dimensional coordinates of space, and the positioning errors of each marker point measured by binocular vision calculation and three-dimensional coordinate measuring instrument are compared. The results show that the system can assist medical personnel to complete the human acupoints recognition and positioning, and respond to the needs of the clinical application.
A survey of industrial control system testbeds
Authors: Geng Yangyang , Wang Yi , Liu Wenwen , Wei Qiang , Liu Ke , Wu Haolan 
Published: August 2019

Abstract
Industrial Control System(ICS) testbed is the basis of ICS safety research. In order to build an ICS testbed, it is necessary to have a deep understanding of the current research status. This paper introduced the structure and composition of the typical ICS system. Then it simply analyzed the technical characteristics, system framework and advantages and disadvantages of four types of typical ICS testbeds. Finally, it summarized application scenarios of ICS testbed and pointed out some problems in testbed construction and the development direction of ICS testbed with the fusion of cyber and physical.
A Design of Water Cannon Control System with Remote Control Function and Automatic Mode
Authors: Jin Yucheng , Zang Chunhua 
Published: August 2019

Abstract
Traditional manual fire-fighting water cannons cost much physical strength to operate due to its own weight and lasting fire-fighting process. In order to reduce the physical stress of firefighters and ensure their safety, a remote control system for water cannons based on STM32 using freeRTOS is introduced in this paper. It has both manual mode and automatic mode with distance of remote control over 250 meters. Power consumption performance has been additionally optimized to extend the standby time considering it’s battery-powered.
Cryptanalysis of A Mutual Authentication Scheme for Smart Healthcare Systems under Global Mobility Networks Notion
Authors: Yang Shuying , Xu Chengbo 
Published: August 2019

AbstractAuthentication and key agreement scheme is an important mechanism for legal users to access the services of smart healthcare systems under global mobility networks notion. However, the design of authentication and key agreement schemes is still quite a challenging problem. In this paper, we analyse a novel mutual authentication scheme for smart healthcare systems under global mobility networks notion proposed by Wu et al. in 2018, and point out the scheme is vulnerable to malicious user impersonation attack, offline guessing attack and suffers from low efficiency.
Short-term Load Forecasting Based on Electricity Price in LSTM in Power Grid
Authors: Cai Ruyi , Li Shixin , Tian Jiecai , Ren Liqiang 
Published: August 2019

Abstract
In the electricity market, accurate short-term load forecasting can ensure the safe and stable operation of the grid, but the real-time fluctuation of electricity price increases the complexity of load changes and increases the difficulty of forecasting. In response to this problem, this paper studies the correlation between electricity price and power load, and provides a basis for the prediction of short-term load in the active distribution network. Based on the correlation between electricity price and power load, this paper proposes a short-term load forecasting model for long-term and short-term memory-cycle neural networks. Taking the power data of a certain area as an example, the LSTM model and other models were used to carry out simulation experiments. The results show that the proposed method outperforms other models in terms of prediction accuracy and stability.
Forecast and Application of GA Optimization BP Neural Network Tourism Demand in High-speed Railway Era
Authors: Wang Meiyu , Zhang Han , Wu Zhongjun 
Published: August 2019

Abstract
The arrival of the high-speed rail era has profoundly affected China’s tourism demand, making it towards uncertainty, and traditional tourism demand forecasting methods need to be innovated. Using Matlab (2014a) to construct a BP neural network model based on genetic algorithm (GA) optimization, taking the number of tourists and tourism income of Sanjiang Dong Autonomous County in Guangxi as sample data, the model is trained repeatedly, and the number of tourists and tourism income are predicted and analyzed, and the model is applied to the forecast of tourism demand in the era of high-speed railway. The example simulation results show that the GA-optimized BP neural network model in the high-speed rail era has better adaptability and prediction accuracy in tourism demand.
Modeling of intelligent distribution network self-healing control state transition based on FSM
Authors: Hao Binbin , Tang Minan , Yu Fan , Xu Xiyuan 
Published: August 2019

Abstract
In order to realize effective prevention from faults, cut-off the fault quickly and power supply recovery from power loss load in intelligent distribution network, this paper proposed a state transition model of self-healing control for intelligent distribution network based on Finite State Machine (FSM). We divided the running states into normal state and fault state, added finite variables to FSM. determined the operation state transition control schemes of intelligent distribution network self-healing control. Considering distributed generation(DG), we established the state transition model of intelligent distribution network self-healing control system on Matlab/Stateflow platform and applied to simulation example. The results show that the proposed state transition scheme is feasible and effective.
Vehicle Target Tracking Method for Crooked Roads Based on UKF and Sensor Fusion
Authors: Li Lifu , Zhang Wenying , Liang Yi , Zhou Hui 
Published: August 2019

Abstract
Aiming at the problem that mm-wave radar tracking target is easy to lose when in crooked roads, a vehicle target tracking method based on Unscented Kalman Filter (UKF) and sensor fusion is proposed. This method uses mm-wave radar and camera to obtain vehicle targets’ information in crooked roads at the same time. Then, according to whether mm-wave radar tracking target is lost or not, different tracking methods based on UKF are adopted. When the mm-wave radar tracking target is not lost, the historical and current data information of mm-wave radar are taken as the state information and measurement information, directly calculating the tracking vehicle parameters such as position, distance and speed; When the mm-wave radar tracking target is lost, a sensor fusion strategy is adopted. The historical data information of mm-wave radar is still the state information, and the camera vision image information of the tracking target becomes the measurement information, integrating the two sensors’ information to get the tracking vehicle parameters. And the result will serve as next moment’s state information for continuous tracking to solve the mm-wave radar tracking target loss problem in crooked roads. Finally, the validity of this method is verified by real road experiments.
Task Scheduling in Graphic Processing Units Heterogeneous With Density of The Graph
Authors: Wang Xuecheng , Ma Jinquan , Yue Chunsheng , Yang Di 
Published: August 2019

Abstract
An efficient scheduling algorithm is significant to achieve high performance in heterogeneous consisted by the central processing units (CPU) and the graphic processing unit (GPU). However, most of the scheduling algorithms are not suitable to meet the present demands of the heterogeneous. According to the characteristics of the direction acyclic graph, the direction acyclic graph nodes density list scheduling algorithm (DAG-NDLS) was proposed. The algorithm had two important phase, the first phase was task prioritizing, selected the ready task with highest priority, defined by the summation of the node density and the transmission between the node and child nodes, and the second phase was processor selection, selected the processors for the tasks with the earliest finish time minimum. In the end, compared the performances of the proposed algorithm with the heterogeneous earlier finish time algorithm and the high performance task scheduling algorithm, the results of the proposed algorithm were the best in case of the efficiency and utilization.
A TDOA Estimation Method Through Phase Difference Square Sums (PDSS)
Authors: Wang Dapeng , Du Hong 
Published: August 2019

Abstract
In order to improve the performance of TDOA estimation under multipath, non-line-of-sight and narrow signal bandwidth conditions, a time difference of arrival (TDOA) estimation method by Phase Difference Square Sum (PDSS) is introduced. Within the baseline time-lags of two separate receivers, PDSS between two received samples of the same signal are calculated for per lag; the TDOA is estimated by searching the minimum of PDSS. Under the condition of different signal-to-noise ratio (SNR) and Sample rates to Signal bandwidth ratio, the estimation error distribution of the PDSS are simulated, and are compared with the generalized cross correlation with phase transform (GCC-PHAT). In multipath propagation and non-line-of-sight environment of the metropolis, the estimation success rates are experimented to evaluate PDSS’s performance relative to GCC_PHAT.
Research on the method of cement bag palletizing system based on machine vision
Authors: Zheng Zujia , Ma Ruyi 
Published: August 2019

Abstract
Aiming at the problem that the traditional cement bag palletizing robot can only accomplish the simple task of handling operation, but can not meet the production requirements, this paper proposes a kind of cement bag palletizing robot based on machine vision, which applies machine vision technology to the traditional cement bag palletizing robot. Firstly, the camera is used to calibrate the visual system of the target, then the image is collected and preprocessed. Finally, the cement bag is recognized according to the SIFT matching algorithm. This method improves the intelligence level of traditional cement bag palletizing robot, makes it have the ability of detection, analysis and decision-making, improves the operation quality of the cement bag palletizing robot, and expands its application scope.
Construction Research of University Data Centre of Cloud Computing Based on Virtualization Technology
Authors: Wang Bei 
Published: August 2019

Abstract
University cloud computing data centre based on virtualization technology can integrate and distribute resources in computing, storage, network, security and other aspects on demand to improve the utilization ratio of resources. This paper analyses the drawbacks of traditional university data centre, gives the design scheme of university cloud computing data centre based on virtualization technology, and draws the architecture diagram of data centre after virtualization. The paper provides the key points of university cloud computing data centre implementation based on virtualization technology. Under high concurrency pressure, we compared the average CPU utilization and TTFB before and after virtualization. The results show that after virtualization, the performance of university data centre has been improved significantly.