bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developments and Recent Progresses in Microwave Impedance Microscope
Authors: Chen Zhijie , Guo Baolong , Zhong Zhaoqi 
Published: October 2020

Abstract
Microwave impedance microscope (MIM) is a near-field microwave technology which has low emission energy and can detect samples without any damages. It has numerous advantages, which can significantly suppress the common-mode signal as the sensing probe separates from the excitation electrode, and it is a powerful tool to characterize electrical properties with high spatial resolution. This article reviews the major theories of MIM in detail which involve basic principles and instrument configuration. Besides, this paper summarizes the improvement of MIM properties, and its cutting-edge applications in quantitative measurements of nanoscale permittivity and conductivity, capacitance variation and electronic inhomogeneity. The relevant implementations in recent literature and prospects of MIM based on the current requirements are discussed. Limitations and advantages of MIM are also highlighted and surveyed to raise awareness for more research into the existing near-field microwave microscopy. This review on the ongoing progress and future perspectives of MIM technology aims to provide reference for the electronic and microwave measurement community.
Research on the mechanism of elbow flexion based on AnyBody
Authors: Li Haotian , Qiao Mingmin 
Published: October 2020

Abstract
In order to analyze the dynamic characteristics of the upper limbs including the musculoskeletal system in elbow flexion, a human upper limb movement model including the musculoskeletal system was established based on the biomechanical analysis software AnyBody, and the overall model was subjected to inverse dynamics simulation and muscle force analysis to obtain the human body Muscle strength and muscle activity of upper limb muscle groups during elbow flexion exercise. Taking the human biceps as an example for analysis, the muscle strength of the biceps during elbow flexion exercise was obtained. When the loaded load is within a reasonable range, the muscle force will change regularly with the increase and decrease of the load, indicating that the training effect of flexion exercise needs to control the loading load within a certain range, which provides scientific theoretical support for upper limb muscle rehabilitation training.
Construction of Training Platform for Complex Mechanical Equipment Based On Process Monitoring
Authors: Bai Xiaotao , Ji Lu , Wang Hao , Yu Jie 
Published: October 2020

Abstract
Combining the status quo of repair practice of large and complex mechanical equipment and the advantages of simulation training application, the exploration and thinking of the construction of mechanical equipment simulation training and assessment platform based on process monitoring are proposed. This platform is conducive to the combination of classroom teaching and professional practice, to cultivate students’ practical skills to meet the requirements of professional development.
Research on Magnetic Coupled Resonant Wireless Charging Technology Applied To Intelligent Patrol Robots
Authors: Niu Buzhao , Xue Tiange , Meng Xiangzhong 
Published: October 2020

Abstract
Magnetic coupled resonance wireless charging technology can realize high power and high efficiency energy transmission at medium distance, which is highly suitable for wireless charging of patrol robots. In this paper, a magnetic-coupled resonant wireless charging system applied in the patrol robot is designed and researched. The working principle of magnetic coupled resonant wireless charging technology is firstly introduced. Then, based on the theory of equivalent circuit modeling, the transmission efficiency and load power of the system are deduced. Moreover, the coil resonance frequency is calculated, and the coil field is analyzed by using Maxwell electromagnetic field software. Finally, the simulation software of Simplorer and Maxwell is used to verify the feasibility and efficiency of wireless charging technology.
Location planning of electric vehicle charging station based on HPSO-TS
Authors: Lei Liu , Liang Pei 
Published: October 2020

Abstract
Aiming at the optimization problem of electric vehicle (EV) charging station layout, an optimization model is constructed which takes the cost of all charging stations within the planning range as the objective function. Combining particle swarm optimization (PSO) and tabu search algorithm (TS), a hybrid algorithm of particle swarm optimization and tabu search (HPSO-TS) was proposed to solve the problem of EV charging station location. This algorithm increases the particle diversity by mutating the individual extremum, and uses TS in the later iteration to improve the late search ability of PSO and overcome premature convergence. Simulation results show that when solving the layout optimization problem of EV charging stations with service requirements and user demand constraints, HPSO-TS is superior to the computational results of PSO and mutation particle swarm optimization (MPSO). Compared with the basic algorithm, the improved algorithm has better efficiency and convergence, which proves the effectiveness and feasibility of the improved algorithm.
Application of Monitoring System Based on Green Environmental Protection Cable Pipe Protector
Authors: Gong Chenglong , Li Yongteng , Zhu Yong , Guo Pengcheng , Bai Fan 
Published: October 2020

Abstract
In view of the current status of the monitoring system for cable conduit protectors, the green environmental protection and the monitoring system for cable conduit protectors are closely combined to explore the construction of an omnidirectional, multi-level and wide-coverage intelligent cable conduit protector monitoring system to coordinate the advantages of advanced scientific research, technology, instruments and equipment. Based on the research background, the paper briefly introduces the high-temperature superconducting cable monitoring and protection system, and systematically explains the overall function of this research software, frame structure design, communication implementation method, various data record analysis and fixed value research.
A novel SLAM framework based on 2D LIDAR
Authors: Wu Shaofeng , Lin Jingyu 
Published: October 2020

Abstract
SLAM is a basic problem in many mobile robot applications. The most commonly used SLAM framework is too complex, and many 3D data algorithms are not suitable for 2D LIDAR. In order to solve this problem, we propose a novel SLAM framework which is more in line with embedded platform. In our framework, we use the classic ICP algorithm as the odometer to calculate the pose of the mobile robot, and use Kalman filter as optimization to remove the accumulating drift. In the aspect of map generation, we first generate the occupancy grid map, then transform occupancy grid map to binary map as the final environment map. We build a simulation platform based on MTLAB to verify the feasibility and effectiveness of our proposed framework.
Research on Testability Design and Evaluation Method for Ship Electromechanical Equipment
Authors: Wu Qian , Xu Yingcheng , Wang Chaowei , Chen Zemeng , Xiaowei Lu 
Published: October 2020

Abstract
As a relatively large amount of electromechanical equipment was installed in the ship systems, it was difficult to position and eliminate the faults of the M&E equipment if any. Hence, there was a need to improve the fault detection and isolation capabilities of the equipment depending on testability design and to develop the corresponding fault diagnosis system when necessary, thus improving the overall availability of the equipment and ensuring that the ship could successfully complete the missions. In view of the above requirements, this paper, taking the most representative M&E equipment - pump set on the ship as a research object, gave the testability design process of the M&E equipment - pump set for product development, illustrated the equipment testability design methods from 4 aspects (namely determination of equipment testability and fault diagnosis system requirements, testability analysis & design, comprehensive fault diagnosis system design and testability verification process design), specified the testability design & monitoring object selection principles and fault characteristic determination methods, and finally provided the testability design evaluation methods for the M&E equipment for verifying whether the testability requirements were met.
Simulation of acoustic performance of ceramic foam based on COMSOL
Authors: Chen Wei , Zhao Xuelei , Hu Sheng , Cao Hao , Lu Ling , Zhou Zhou 
Published: October 2020

Abstract
Ceramic foam has excellent properties such as high porosity, high temperature resistance, chemical corrosion resistance and good thermal stability. It is widely used as liquid metal filter, high temperature gas and ion exchange filter, catalyst carrier, environmental material, heat insulation material, sound absorption material, biological material and so on. This paper first introduces the principle of the ceramic foam as an acoustic material, and then establishes the impedance tube model based on COMSOL software. The influence of thickness, pore size, porosity and material on the sound absorption properties of the foam ceramics is simulated and analyzed.
A Fast Test Method of the Optical Axis Turning Angle of an Aviation Aiming POD
Authors: Zha Guangdong , Huang Wei , Qi Le 
Published: October 2020

Abstract
Because the aviation aiming pod has special structure, it cans not install angle sensor to measure its optical axis turning angle. In order to solve this problem, a turning angle measuring method based on image technique is given in this paper. A test model based on P3P is designed and a fast calculating method is given. The application result indicates that the test range and the test precision are satisfied for the test requirements.
Simulation Analysis on Maximum Height of Semi-Rigid Concentrically Braced Steel Frame
Authors: Yang Rongqian , Zhou Xuejun 
Published: October 2020

Abstract
The prefabricated semi-rigid concentrically braced steel frame is a highly-assembled seismic structure. The structure is subject to definite stress and has two seismic precautionary lines. It can be utilized in multi-story and high-rise steel structures. Finite element software is used in this study for response spectrum analysis of a 12-storey semi-rigid concentrically braced steel structure under the conditions of frequent earthquakes to assess the seismic performance of the structure. Dynamic elastic-plastic time history analysis of this structure is also performed under the conditions of rare earthquakes in the case of various seismic precautionary intensities. Critical performance indicators of the structure including plastic hinge development, maximum inter-storey drift angle, and storey shear distribution are also investigated. The results indicate that under earthquakes of various seismic precautionary intensities, the maximum inter-storey drift angles of the prefabricated semi-rigid concentrically braced steel frame structure do satisfy the seismic demands. The brace and the semi-rigid joint steel frame show excellent cooperative work performance. The structure can only be applied in regions with low seismic precautionary intensity.
Application of AHP Based on Mathematical Operational Research in Teaching Evaluation System
Authors: Li Xing , Mo Xiujin 
Published: October 2020

Abstract
Based on the AHP of operational research, this paper studies and analyzes the evaluation indicator of Blending Learning quality, and constructs a set of evaluation system by sorting out the weight calculation, including three first-level indicatores and ten second-level indicatores. The judgment matrix is used to check the consistency of the ranking of each indicator. The consistency test values of the four judgment matrices are: 0.0370/0.0000/0.0163/0.0370, which means acceptable. Among them, the weight of problem inquiry, creative guidance and communication display is about 0.32. This is very in line with the characteristics of Blending Learning classroom and can give full play to students’ initiative and build ability. This study provides theoretical reference and practical guidance for Blending Learning.
Research on Extreme Points of RSI Expert System Based on Nonlinear Regression Analysis of Data
Authors: Wang Pin , Su Feng 
Published: October 2020

Abstract
In this paper, four kinds of statistical regression functions are used as the management objective to analyze the data of Shenzhen stock-market for past 192 month. 24 regression functions are obtained by analysis and the method of extreme values from mathematical function theory is obtained in the state of waveform increasing function: the average number of maximal points of the first regression function is 31.30; the average number of the maximal points of the second regression function is 50.00; the average number of the maximal point of the third regression function is 51.23; the average number of the maximal point of the fourth regression function is 57.14 or monotone increasing function without extreme value. The first three types of statistical regression functions have no maximal point but only minimum point in the state of waveform decreasing function, and the average number of the minimum points are 40.20, 46.69, 47.78.
Research on Solving Mathematical Model of Itinerary Problem Based on Recursive Method
Authors: Ruan Ni , Qiu Ming 
Published: October 2020

Abstract
A special type of itinerary problem is introduced in this paper, and by using the principle of recursion, the mathematical model is established under two conditions. The results obtained by MATLAB software: if all passengers wait for the car to pick them up and then they are sent to the railway station directly, the time calculated by model (1) is about 3.3 hours; in the process of each car sending passengers to the railway station, at the same time other passengers who have not reached the station should walk to the station, and the time calculated by model (2) - (4) is about 2.85 hours, 2.718 hours and 2.602 hours respectively. In the latter case, the time is less than 3 hours, which means that the model is feasible. An extended discussion is carried out on the itinerary problem at last.
Research on PSO-BPNN Based Model for Forecasting Typhoon Rainfall
Authors: Wang Pin 
Published: October 2020

Abstract
In view that there are great errors in forecasting typhoon rainfall by backpropagation neural network (BPNN) based models, it is proposed in this paper that these models can be optimized by particle swarm optimization (PSO). In this paper, one basic BPNN-based model and one PSO-BPNN model are separately built for performing simulation experiments with the same data. According to the experimental results, the optimized model can forecast typhoon rainfall much more precisely, which demonstrates that the PSO-BPNN model is effective for forecasting typhoon rainfall.
Formation-containment control for second-order multi-agent systems based on fixed-time convergence
Authors: Li Meng , Lan Tianze , Xu Guanghui 
Published: October 2020

Abstract
In this paper, fixed-time convergence strategy has been used for formation-containment of multi-agent systems control. The control objective is that all the sub-leader agent are needed to accomplish the desired formation configuration, the geometric centre of the sub-leader agents tracks the main-leader agent’s position and followers need to converge to the desired formation. The control target has converged to zero at a fixed time. Then, the fixed-time formation-containment control protocol is proposed based on the information of neighboring. Finally, it is proved that the formation-containment control can be achieved based on fixed-time convergence.
Research on double-layer model of cold chain Network based on Genetic Algorithm
Authors: Lin Changtong , Wang Xifu 
Published: October 2020

Abstract
Based on the self-run cold chain logistics model dominated by large chain supermarkets, this paper establishes a double-layer programming model of fresh agricultural products cold chain logistics network optimization model of large chain supermarkets. The upper model is the total cost optimization model of cold chain logistics network, which solves the location problem of distribution points and the optimization problem of vehicle path. The lower level model is the optimized model of customer time satisfaction, which solves the problem of supermarket flow distribution. Finally, an example is given and an improved genetic algorithm is used to solve the two-layer programming model, which proved the double-layer model has certain theoretical and practical significance.
Blind recognition of MIMO-SFBC based on Symbolic eigenvalue*
Authors: Jin Kun , Yu Keyuan , Yan Wenjun 
Published: October 2020

Abstract
In the blind recognition of air frequency block code signals, a blind recognition algorithm of MIMO-SFBC based on symbolic eigenvalue was proposed to solve the problems of poor recognition performance and large number of samples under the condition of low SNR. According to the symbol correlation characteristics of different air frequency block codes in frequency domain, the eigenvector sequences of different air frequency block codes are derived, symbolic eigenvalue are estimated by binary hypothesis testing, and different coding types are distinguished by decision tree classification recognition algorithm. Simulation results show that the algorithm does not need prior information such as modulation prediction, and has good recognition performance under low SNR and small sample conditions, and can be applied to engineering fields such as cognitive radio.
Research on encryption, authentication and key update mechanism for CCSDS-TC protocol
Authors: Hong Chen 
Published: October 2020

Abstract
In view of the shortcomings of the CCSDS-TC protocol key update mechanism, this paper proposes a satellite-ground key update scheme suitable for space communication. This article analyzes the encryption and authentication methods of the CCSDS-TC protocol, builds a satellite communication protocol simulation platform on OPNET, and implements the proposed satellite-ground key update scheme, encryption and authentication methods. The simulation test of the dynamic update of satellite-ground key and the simulation results of data security transmission denote that the proposed satellite-ground key update scheme in this paper has good security, scalability and low resource consumption, and can provide a secret key parameter which reveals important practical value.
Semantic index for keyword search over tagged data
Authors: Lou Ying , Zhong Feng , Zhang Jinxiang , Peng Yubo 
Published: October 2020

Abstract
The index is crucial for information retrieval efficiency. Different with text data, tagged data contained rich semantics, which is useful to promote the quality of search results. It is observed that most existing indexes for keyword search do not consider semantics of tags. After an analysis of tagged data, we proposed the concept of result entity basing on the theory of relational database. We present a formula to quantify semantics of tags and then introduce a novel semantic index for keyword search. Experimental results demonstrated that our approach can help to reduce the size of the keyword inverted list in tagged document dramatically and improve the retrieval quality.
Research on Computer Aided Computation of Infectious Disease SIR Model Algorithm Based on Parameter Control
Authors: Wang Jiale , Liu Hailin , Gao Runshan , Ye Jiahui , Yang Chen , Zhang Zhijie 
Published: October 2020

Abstract
The algorithm proposed in this paper conceives the process of solving optimization problems as a process in which an infectious disease spreads among several individuals in an ecosystem. Its propagation law can be described by the SIR infectious disease model. Infectious diseases attack certain locations in several disease-causing genes of individuals. For different individuals, which disease genes and which sites are attacked are completely random; if an individual is cured, which immune genes and which sites are immunized are also completely random. Because of the problem of determining the growth rate of the number of infectious diseases, and improved SIR model is established, combined with historical data to quantitatively predict the future growth rate of the number of infected people, to formulate corresponding disease prevention and control measures.
Research on RCS Simulation Characteristics of Fixed Low-Grazing-Angle FOD Radar
Authors: Fan Dan , Zhang Ye , Nie Yan 
Published: October 2020

Abstract
Fixed low-grazing-angel foreign object debris (FOD) radar, which is erected at a designated height beside the airport and scans the runway at a low-grazing angle, is used to detect foreign object debris on airport runways. In operation, it is found that the power of reflected electromagnetic wave decreases significantly when the radar is erected at some height, as a result of which the radar detection rate reduces. In this paper, the electromagnetic reflection and polarization modes of fixed low-grazing-angle radar are analyzed based on some concepts of refraction characteristics of electromagnetic wave, such as Fresnel’s Law and Brewster’s Angle. Then the paper explains the theoretical reasons for this problem. Meanwhile, the GO & MLFMM algorithm is used to simulate the relationship between radar height and radar reflected power, and finally the theoretical results are verified.
Research and analysis of course arrangement based on genetic algorithm
Authors: Sun Guangmin , Li Yahui 
Published: October 2020

Abstract
Gene coding has always been an important and difficult problem in the course scheduling of genetic algorithm. Starting from the definition of the set and the limited conditions of the scheduling problem, this paper expounds the coding method of the scheduling problem of genetic algorithm in detail. The gene coding method in this paper is a decimal coding with special significance. The information of each course: teaching class, class time, course name, teaching teacher, classroom type and other information are encoded as chromosomes, and the coding method is more standardized and accurate. The crossover rate and variation rate of the designed genetic algorithm will automatically change with the change of fitness, and the self-adapting crossover rate and variation rate can make the algorithm fleetly get the globing greatest result. The fitness function is improved, and the traditional genetic algorithm is compared with the improved genetic algorithm. From the final results, It shows that the improved genetic algorithm is more excellent in efficiency and performance.
The Multi-channel and Multi-scale Network for Crowd Counting
Authors: Wang Pengze , Wu Wei , Su Yang , Li Xin , Duan Yongsheng 
Published: October 2020

Abstract
In this paper, we propose a novel multi-channel and multi-scale network for processing crowds in crowded scenarios and improving counting accuracy. In the estimated crowd count study, different distribution groups have different contributions to the total number of crowd, and the more crowded people have stricter requirements on details. Therefore, we designed two branches in the crowd counting network: the backbone network performs feature extraction operations on the original image, which mainly obtains effective information from the global, and our branch network focuses on the crowd gathering area, which better focuses on the details of the crowd distribution. Finally, the global information is complemented with local details to obtain high-quality feature expressions. To deal with scale changes, Inspired by atrous spatial pyramid pooling structures, we introduce dilated convolution with different sampling rates in the network to expand the receptive field. We carried out a large number of experimental verifications on popular data sets, and the proposed method is superior to existing methods.