bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on multi-targets real-time ballistic recognition method based on movement multiple feature correlation
Authors: Yang Zengxue , He Lifeng , Wang Xiaohua , Lei Hao 
Published: August 2019

Abstract
In the optical measurement of burst multi-targets such as the rocket, missile, bullet and so on, in order to solve the poor real-time reliability problem of the multi-targets ballistic recognition caused by the invalid ballistic recognition algorithm variable and less movement feature quantity, a multi-targets ballistic recognition method based on movement multiple feature correlation has been proposed, and the mathematical model algorithm and multi-targets real-time ballistic recognition strategy has been established at the same time. It has been proved that the method can improve the adaptability, real-time performance and reliability of multi-targets real-time ballistic recognition, to provide technical support to real-time multi-targets optical measurement and processing.
Acoustic Effects of Underwater Plasma Pulsed Sound Source under Different Electrical Parameters
Authors: Chen Zhenyang , Zhang Xiaobing , Yan Bing 
Published: August 2019

Abstract
Methods of pulse discharge in water were studied under different voltage and conductivity parameters. The voltage and current data in the experiment were collected and analyzed. Then the mechanism of the two discharge modes was briefly discussed (the initial mechanism of the corona mode is still unclear compared to the thermal process mechanism of the arc mode). Finally, two kinds of discharge methods were compared and analyzed from the aspects of experimental phenomena, production mechanism and application prospects. The experiment found that the acoustic effect of corona discharge in water under large solution conductivity is obvious, which provides a new idea for the design of underwater plasma sound source.
Design of Electric-Take Ring for Microcomputer Relay Protection Device
Authors: Xiao Wubing , Ling Pengpeng , Sha Wen 
Published: August 2019

Abstract
A miniaturized electric-taking ring used in microcomputer relay protection device is designed in this paper, which can obtain electric energy from the measured circuit and provide stable power supply for the protection device. The test results show that the ring is suitable for microcomputer relay protection device, low cost, safe and stable, and solves the difficult problem of equipment power supply in box environments.
Complete subdomain model for radial-flux slotted PM machines with toroidal windings accounting for the iron-part
Authors: Wu Jiang , Wen Bin , Zhang Yinyou , Zhang Qi 
Published: August 2019

Abstract
Most subdomain models do not solve the magnetic vector potential in the iron part of the machine, this paper proposes a complete subdomain model for (PM) machines with toroidal windings and mainly solves the magnetic vector potential in iron part. The proposed model can accurately predict the field distribution under load or no-load conditions. The electromagnetic parameters of the motor (including magnetic flux density, back-emf, electromagnetic torque, and cogging torque) are calculated using the proposed analytical model, and validated by a FEM model. This paper presents a technique to handle with the stator of machines with outer teeth and the very specific techniques to solve the magnetic field in the iron part.
Research on Test Method of Communication Interface Converter Based on Simulated Field Conditions
Authors: Yan Du , Long Wang Zhe , Liang Guo , Xia Zhu Hong , Jie Yang 
Published: August 2019

Abstract
This paper used the wind pressure, sealed water circulation system, wireless attenuator and interface state analog circuit to establishes simulated field operation condition of “Multi-meter unification”. A test method of communication interface converters and concentrator for “Multi-meter unification” is proposed based on the experimental environment, which including function test, interface performance test and compatibility test, and to ensure the stable operation of the field communication interface converter and concentrator.
The Spectrum Allocation Technology Based on Hybrid Particle Swarm Optimization in Cognitive Communication
Authors: Zhang Wenhe , Huang Guoce , Wang Guisheng , Wang YE 
Published: August 2019

Abstract
With the increase of the number of communication users, the high frequency (HF) communication resources are scarce and more precious. Aiming at the problem of frequency allocation in cognitive HF communication, this paper transforms it into the problem of maximizing network revenue, and solves the problem by using particle swarm optimization algorithm based on natural selection (NSPSO), which can get better solution in a short time. The experimental results show that the proposed algorithm is better than the conventional particle swarm optimization (PSO) and genetic algorithm (GA) in the effectiveness and speed.
Intelligent Home Communication Design Based on Home Computer
Authors: Ling Pengpeng , Xiao Wubing , Sha Wen 
Published: August 2019

Abstract
Along with the continuous development of computer technology, the increase in the number of computer popularization, especially the microcomputer used in the home environment, has brought a lot of convenience to human life. In recent years, intelligent home has developed rapidly, and intelligent home environment provided higher spiritual material experience for users. However, in the remote control of smart homes, most of them use network communication chips such as 3G and 4G, which wastes computer resources in the home environment. Therefore, this paper proposes an intelligent home design based on home computer, hoping to reduce the development cost of existing smart home technology and eventually accelerate the popularization of smart home.
Design and implementation of EEMD-assisted ICA joint denoising scheme for ECG signals
Authors: Chen Hanlin , Zhao Cheng , Yin Jingyi 
Published: August 2019

Abstract
Independent Component Analysis (ICA) algorithm is a signal processing method for solving blind source separation(BSS) problem, which can remove noises in observed signals and obtain original signals. This paper designs and implements an EEMD-assisted ICA joint denoising scheme for ECG signals. Firstly, Ensemble Empirical Mode Decomposition (EEMD) is used to perform noise-assisted data analysis on ECG signals, completing pre-denoising of ECG signals and pre-processing for subsequent ICA analysis. Next, to more thoroughly remove noises in ECG signals, ICA separates independent components from pre-denoised signals. Finally, signal reconstruction restores original ECG signals, so as to realize ECG denoising. Experimental results show that the scheme can effectively remove common noises, and get clean ECG signals, which lay a good foundation for accurate diagnosis of heart patients.
A Multifunctional Terminal Hardware Design for Teaching Assistant
Authors: Chang Qing , Gao Yushan , Guo Lin , Yang Zehua , Chang Cun 
Published: August 2019

Abstract
An intelligent handheld terminal for campus was designed to meet the teaching management requirements under the new education situation. This system is composed of fingerprint identification module, wireless communication module, LCD touch screen module and embedded system. So, it can achieve multiple functions. Specifically, we design the hardware schematic diagram and PCB, then devise driver and transplant FreeRTOS operating system according to the working characteristic of each module. The communication protocol between the handheld terminal and the host computer is designed to complete the process of collecting fingerprint attendance and classroom test data and then transmitting those data wirelessly to the host computer. This system will be helpful to improve the campus service and teaching quality.
Analysis of Parachute Recovery Process for UAV based on Launch Rocket
Authors: Li Kai , Chen Gang 
Published: August 2019

Abstract
Taking a certain type of UAV as an object of study, this paper analyses the UAV emergency parachute recovery system based on parachute rocket. The dynamics and kinematics models of the parachute and UAV during recycling process are built respectively. The simulation results of recovery motion under windless conditions are given and the changes of attitude speed and other parameters of UAV in different stages of recovery process are analyzed. On this basis, the related factors affecting the safe landing of UAV are studied, which provides a reference for UAV to choose the time for opening the umbrella.
KS-FALL: Indoor Human Fall Detection Method Under 5GHz Wireless Signals
Authors: Hao Zhanjun , Duan Yu , Dang Xiaochao , Xu Hongwen 
Published: August 2019

Abstract
In modern society, it has become the main threat to the elderly fall’s health or even death in the elderly. The real-time and reliable fall detection system can save the fall and hurt the elderly in time. In this paper, a human fall detection method KS-FALL based on Channel State Information and in 5G environment is proposed. KS-FALL uses Atheros commercial NIC equipment to map the amplitude information in the wireless signal to the human body’s fall action, and does not require the user to wear any equipment. Compared with the traditional 2.4 GHz signal, the 5 GHz signal provides richer sub-carrier frequency domain information, which better reflects the relationship between human motion and wireless signals, thereby more effectively distinguishing and recognizing walking, squatting, falling, etc. action, filter the environmental interference through powerful denoising method, use K-means to cluster different action data, combine SVM classifier to construct fine-grained offline fingerprint database, and use SoftMax regression model to correct SVM classification in real-time detection stage. And real-time test in two different scenarios, and the detection accuracy of the fall reached 92.3%, realizing the device-free, non-invasive, high-precision human fall detection.
Research on On-line Dynamic Testing and Operation Time Control Method for Critical Vibration Zone of Water Turbine Generator Set
Authors: Wen Xiankui , Shen Chunhe , Su Li , Mao Cheng 
Published: August 2019

Abstract
At present, there is no relevant definition and requirement for the critical vibration zone of hydropower units. By summarizing and analyzing the operation stability of the unit, the definition of critical vibration zone is given. An on-line dynamic testing method for vibration region based on comprehensive stability index of hydropower units is proposed. For the two methods of dynamic on-line testing and manual setting in critical vibration zone, the operating time control functions are given respectively to ensure the safe operation of the unit and to improve the operation range and adjustability of the unit.
Research on EMI Radiation Source Model Based on Battlefield EMC Prediction Analysis
Authors: Li Yong , Chen Dong , Zhang Xiao Long 
Published: August 2019

Abstract
In complex electromagnetic environment, using modeling and simulation to predict and analyze battlefield EMC has become the main means. Based on the analysis of the characteristics of the transmitter, such as fundamental wave emission, harmonic emission, nonharmonic emission, intermodulation and intermodulation interference, the fundamental wave emission model, harmonic emission model, non-harmonic emission model, intermodulation interference and intermodulation interference model are constructed for the prediction and analysis of EMI Radiation Source, and the primary problem of battlefield EMC modeling and simulation prediction is solved.
Research on Fault-Environment Association Rules of Distribution Network Based on Improved Apriori Algorithm
Authors: Xiao Maoran , Sun Yuanyuan , Li Kejun 
Published: August 2019

Abstract
As the urban power grids gradually enter the high reliability level, the distribution network risk early warning becomes the key to further improve the reliability level. Distribution network faults have the characteristics of strong randomness and weak causality, and conventional methods are difficult to find their laws. The idea of data mining is introduced in this paper. Based on the analysis of various types of fault data, the improved Apriori algorithm is used to mine the strong correlation rules of various influencing factors in the distribution network, and the fault-environment pattern recognition library of distribution network is established to lay the foundation for the early warning of distribution network operation risk.
Lightning Strike Risk Assessment and Lightning Protection Approach for Highway Electromechanical Equipment
Authors: Wang Enshi , Huang Bihui 
Published: August 2019

Abstract
To ensure the normal operation of highway electromechanical equipment and avoid lightning disasters, it is necessary to design lightning protection devices in the highway electromechanical system. However, due to factors such as the technical level and life limit of the lightning protection device, some lightning protection devices are over-aged, and often fail, resulting in frequent lightning damage to the electromechanical system equipment. In this study, the design and comprehensive evaluation of the current lightning protection devices was carried out to ensure that they can work normally. Safety analysis was performed on the electromechanical system lightning protection device to ensure the safe and stable operation of the electromechanical system.
Traffic Safety Evaluation Approach for Reconstructed Freeway Medium Strip Opening Area
Authors: Zhou Jiacai 
Published: August 2019

Abstract
The remaining of the medium strip of the freeway in reconstruction and widening project reduces the cost of renovation, however brings potential driving risks. In this study, the characteristics of traffic flow changes caused by the opening of the medium strip were analyzed. The safety of the opening length of the medium strip was evaluated based on the interweaving and conflicting driving behavior characteristics, and the opening length of the interweaving area of the medium strip was calculated. In addition, the location of the exit traffic sign was advised for this new traffic flow characteristic. Appropriate opening length of the medium strip and the optimized traffic signs can effectively guide drivers to enter and exit the closed area of the central separation zone safely and comfortably.
Spatial Differentiation of Land Reclamation in Shandong Province since the 21st Century
Authors: Wang Xiaowei 
Published: August 2019

Abstract
Cultivated land refers to the land on which crops are grown, which are the basic resources and conditions for human survival. This paper uses the data of Shandong Statistical Yearbook (2001-2018) to study the spatial and temporal distribution pattern of cultivated land resources in Shandong Province by using GIS technology. The results show that the area of cultivated land between 2000 and 2016 is generally increasing, which is divided into attenuation and recovery. After adjusting the three stages, the cultivated land area has a downward trend after 2012, which is worthy of attention. From the perspective of the characteristics of the cultivated land resources, the cultivated land resources of the province are characterized by the lack of more than the east and the east, and the growth of the land reclamation rate is expanding to the east. From the perspective of the overall distribution of cultivated land resources, the average annual growth rate of cultivated land area in Shandong Province during the period from 2000 to 2016 was 0.89%, the average annual growth rate in Luzhongnan area was slightly faster at 1.07%, and the highest rate of land reclamation in northwestern Shandong was 60.96%, the most extensive cultivated area is Linyi City, the largest land reclamation rate is Liaocheng, the land reclamation rate is 67.50%, and about 2/3 of the land is cultivated land.
Adaptive sliding mode control for multi-UAV systems with parametric uncertainties
Authors: Yu Liang , Liu Yongchun , Lin Da , Han Qiang 
Published: August 2019

Abstract
This paper proposes a parametric uncertain adaptive sliding mode control method for multi-UAVs formation. The tracking effect is well under the condition of uncertain inertial matrix parameters and external interference. An adaptive law is designed to estimate the inertial matrix parameters of each UAV in the formation on-line, and the estimated values are used in the sliding mode controllers, which guarantee that the tracking error is uniformly asymptotically converged to zero. Then the adaptive sliding mode control the stability performance of is proved by Lyapunov stability theory. Finally, simulation illustrated that under the uncertain conditions and external disturbances in the system, the method can achieve the Multi-UAVs formation with a stable attitude and speed synchronization.
Simulation comparisons by three strategies of control on Ships’ fin stabilizer control system
Authors: Song Yang , Lv Zhenwang , Zhang Yuqiang , Wang Zixin 
Published: August 2019

Abstract
Reducing the ship rolling motion is an important subject of the ship motion control. And the fin stabilizer is one of the most effective ship stabilizers, which plays an important role in improving the ship seaworthiness, giving a longer life for the ship, ensuring the equipments on the ship working better and making the ship members feel comfortable, advance battle effectiveness of the naval ship. Since the ship rolling motion has the characters of the nonlinearity and randomicity. The building of the mathematic model is difficult. Therefore, the method, that the exact mathematic model is not needed priorly, will be suitable for the control system. In the strict sense, the PID and MFLAC are in accord with these characters. Simulations are given for the fin stabilizer’s control system with three different control methods: Proportion Integration Differentiation (PID), Model-Free Learning Adaptive Control (MFLAC) and the improved MFLAC based on Multi-Innovation (MI-MFLAC). The principles of the three methods are introduced and the advantages and disadvantages of the three methods are represented. The satisfied control effects are achieved with the latter two control strategies.
TRANSIENT BEHAVIOR IMPROVEMENT OF ITERATIVE LEARNING CONTROL SYSTEM BASED ON PSEUDOSPECTRUM METHOD
Authors: Liu Bin , Li Jiming 
Published: August 2019

Abstract
Robust monotonic convergence (RMC) should be obtained when designing ILC (Iterative learning control) system. But it may cause convergence rate becoming slower. In order to maintain stability of control system, transient growth is often limited within a certain range, which is one of the most properties of transient behaviors. Pseudospectral of the system transfer matrix is introduced to predict the transient growth of ILC system. At the same time, asymptotic performance can be improved if the transient growth is kept small. Under this case, the convergence rate will also be speeded up. The simulation demonstrates the effective of new method for designing ILC system.
Research on All Terrain Tracking Platform Based on Inertial Navigation
Authors: Yong Gan , Qiufeng Zhang , Siliang Pan , Xu Meng , Weiqiang Zhu 
Published: August 2019

Abstract
In order to solve the dangerous situation that search and rescue personnel are not suitable for direct internal search and rescue in harsh closed environment without GPS signals, an all-terrain trajectory tracking platform based on inertial navigation is designed and studied. An autonomous navigation system is composed of low cost, low power consumption, small size MEMS inertial elements, which do not depend on external information and radiate energy. Kalman filter is used to fuse the data of accelerometer, gyroscope and magnetometer and output stable and reliable azimuth angle. By combining the Hexapod joint structure with the roller track structure, the multi-environment and all-terrain machine traveling is realized. The experimental results show that the three-dimensional and two-dimensional space trajectories can be clearly drawn in outdoor complex environment. In indoor environment, the platform achieves positioning error within 5 meters, deviation is not more than 10 cm, and draws a map that conforms to the platform trajectory. The development of the platform provides a powerful help for exploration work.
Optimization of traditional Snort intrusion detection system
Authors: Zhang Dongyan , Wang Shuo 
Published: August 2019

Abstract
With the rapid development of the Internet, the following network security issues are increasingly prominent and the increasing number of network attacks has also attracted the attention of more professionals. Network attacks are generally divided into operation attack, spoofing attack, flooding attack, redirection and so on. In order to ensure the security of computer system, intrusion detection system is designed, and people pay more and more attention to it. Firewall as the first security gate to maintain network security, intrusion detection system is undoubtedly the second security gate after the firewall. Snort intrusion detection system is a typical application of intrusion detection system. In addition, Snort is a real-time traffic analysis system that can capture and analyze packets on the network according to defined rules. However, with the continuous increase of data volume and the emergence of big data, the pattern library of Snort intrusion detection system also expands correspondingly, leading to the decrease of detection efficiency. DPDK(Data Plane Development Kit) adopts polling method to realize data packet processing, which saves CPU interrupt time, memory copy time, and provides a simple and efficient data packet processing method to the application layer, making the development of network applications more convenient. How to improve the efficiency of Snort intrusion detection system with the advantage of DPDK’s high-performance packet processing is the research focus of this paper.
Power Precise Load Shedding Control Strategy Considering User Demand Response Clustering
Authors: Li Qin , Xu Zhiqiang , Zhang HuiFang , Liu Yi , Lu Jun , Hu Zesheng 
Published: August 2019

Abstract
Load shedding control is one of the key technologies for stable operation and efficiency optimization control of power system. Aiming at optimized load overcut rate optimization problem for second/minute level precision load shedding efficiency, a precise load shedding control method based on user demand response clustering is proposed. Firstly, based on the analysis of the characteristics of the precise load control system, the authors construct the optimal mathematical model of the precision load shedding control strategy with minimum load overcut rate using the user load clustering. Secondly, the particle swarm algorithm is used to achieve the minimum load overcut rate control strategy model. Finally, through the analysis of the example, the proposed method can reduce the 30% load over-cut rate and the load over-cut rate volatility compared with the traditional method, and verify the effectiveness of the proposed method.