bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of a New PH Meter
Authors: Huang Jian , Bai Zichen
Published: October 2020

STC12C5A60S2 chip with 8-way high-speed 10 bit a / D conversion (250K / s) is used as the core of the device. Through the in-depth study of the simple liquid container system, a set of system which can automatically measure the liquid level and weight and determine the given liquid type (including brine, pure water, milk, white vinegar, etc.) is designed. In the hardware design, ultrasonic module is used to measure the liquid level, load cell is used to measure the weight of liquid, analog signal collected by ad of main control chip is converted into digital signal, and pH sensor is used to measure pH value, so as to determine the type of liquid.
The Effect of Roughness on the Wet Skid Resistance of Tire Tread Compounds
Authors: Mao Chunyu , Li Xiaohong , Liu Songqing
Published: October 2020

The wet skid resistance is the main performance of automobile tires, and the excellent wet skid resistance can ensure the safety of the car. In this paper, 60 mesh sandpaper, 400 mesh sandpaper, 1000 mesh sandpaper and 2000 mesh sandpaper were used to pre-grind the sample, which changed the surface roughness of the sample; measured the dry and wet friction coefficient of the sample, and the measured friction pair was smooth Glass surface, rough glass surface and 180 grit sandpaper surface. The experimental results show that the rougher the surface of the sample and the surface of the friction pair, the greater the wet friction coefficient and the better the wet skid resistance.
Application and development of construction technology of raw soil materials
Authors: Hu Yuewen
Published: October 2020

by recognizing the cultural origin and environmental components of regional raw soil materials, the interaction between the building development elements in traditional culture of living environment and its natural environment, and the cultural extension characteristics in a given area are witnessed. Strengthening the observation and analysis of the texture characteristics of regional raw soil materials and the practical application and development of ramming technology of raw soil materials are helpful to the cultural control of local and modern construction, and the research on the human situation of relevant materials and technologies.
Broadband asymmetric transmission characteristics based on metamaterial in terahertz region
Authors: Zheng Xiaoxia , Shang Guoqiang , Zhao Dongjie , Yang Baoping , Wang Xiaomin , Fan Jinqiang , Ren Siheng
Published: October 2020

In this paper, a multi-layered terahertz metamaterial has been proposed, which consisted of dual-layered substrate and three 6-shaped meta-layered. Numerical results reveal that the structure realizes broadband asymmetric transmission of linearly polarized wave. In particular, this structure realizes a maximum of 0.95 for asymmetric transmission at 6.7THz. Based on the electric fields, we have analyzed the wave conversion of linearly polarized wave and the mechanism of asymmetric transmission effect.
Design and Implementation of method to increase the isolation of boat rocking for ship-borne radar
Authors: Xia Jiafeng
Published: October 2020

The influence of ship rocking is needed to conquer, while capturing and tracking the targets on servo system of ship-borne radar. Aimed at solving the problem that the target can’t be captured through the isolation on the position loop, A new method was proposed that increase the feedback gyro and feedforward gyro in the manual model of the earth coordinate system. The ability of isolating ship shake has significantly improved. These greatly reduced the difficulty of narrow beam ship-borne radar capturing target.
Research on Assembly Automation Technology of New Prefabricated Transformer Prefabricated Transformer
Authors: Pan Peifeng , Yang Zhiyi , Li Longda , Zhu Xiaoying , Wu Tao
Published: October 2020

The technical field of transformers discussed in the paper relates to the production of lead wires, especially a factory-made prefabricated transformer with a new lead wire; its transformer includes a transformer main body and a new transformer lead wire connected to the main body of the transformer. The transformer lead wire includes a transformer lead wire, and a copper-aluminium terminal, a heat shrinkable tube, a composite insulator, a grounding test ring, a lightning arrester lead assembly, and a C-clamp are arranged in order from one end to the other end. The design of the new type lead wire transformer assembly can completely realize the factory prefabrication of the transformer lead wire, the manufacturing process is simple, and the construction time on site can be greatly reduced and the construction efficiency can be improved.
Ultimate Strength Analysis of Three-Way Pipe Considering Plastic Reinforcement Effect
Authors: Su Wei , Luo Wenhao , Dong Xianshan , Liu Renhuai
Published: October 2020

Considering the plastic reinforcement effect in materials, the plastic limit load of the three-way structure is analyzed. ANSYS commercial finite element software is used for numerical simulation. According to the results, the paper discusses the influence of the plastic reinforcement effect on the pipe’s plastic ultimate load and failure mode. And the structure is further analyzed to verify the theory and design ideas in actual engineering. For improving the design and safety assessment of the three-way structure, the results provide a theoretical basis and a numerical reference, and the finite element method is economical than the experimental method. At last, it satisfies the accuracy requirements of engineering.
Experimental Study of Strain Clamps Crimped Under Unbalanced Condition
Authors: Li Junhua , Bian Meihua , Liang Shirong , Zhang Xingsen , Lu Zhanqiang
Published: October 2020

In order to clarify the relationship between the efficacy loss of strain clamp joints and the crimping quality, three groups of clamp joints, crimped under unbalanced conditions at both ends, naming NY-240/40, NY-400/35 and NY-630/45 were selected and then subjected to tensile tests and X-ray inspection. After a detailed analysis of the experimental results, it can be seen that under the condition of unbalanced crimping quality, the efficacy loss all occurred on the side with better crimping quality, which provides an instructive reference for the crimping technique of strain clamps in actual project construction.
The Overall Design and Application of Safety Protection for Industrial Control Systems
Authors: Wu Peng , Wu Maopu , Zhu Jun
Published: October 2020

According to the industrial Internet adaptive architecture security system, following the design principles of standardization, overall layout, and top-level planning, it adopts the defense-in-depth concepts of “vertical layering and horizontal partitioning”, “boundary control, intra-domain monitoring and auditing, and overall centralized management and control”. Aiming at the network security protection of enterprise industrial control systems, it is focused on breakthroughs in technologies of multi-element acquisition and fusion, defense-in-depth security analysis, visual integrated situational awareness. An industrial control network security integrated protection platform has been constructed to realize real-time perception of industrial control security risks and accurate research and judgment of threats. After practical application verification, it is meets and suitable for the safety protection requirements of industrial control enterprises, and provides reference value for the construction of industrial control network security protection in the shipbuilding industry and other industries.
Quality Estimation Method of Heavy Vehicle Based on Speed Change
Authors: Hu Yi , Xu Yongbing , Liu Li , Jin Bihui
Published: October 2020

The heavy-duty vehicle has a wide range of mass changes from no-load to full-load, which affects the shift control of the heavy-duty vehicle transmission. Therefore, the quality of heavy vehicles needs to be identified. The traditional taxiing method needs to know the road rolling resistance coefficient and air resistance coefficient. Acceleration sensor-based automobile quality identification methods require additional sensors on the car, which increases the cost of the car. In this study, based on the principle of function conversion and vehicle longitudinal dynamics, a method for estimating the mass of a heavy vehicle based on changes in vehicle speed is proposed, in the case of unknown vehicle characteristic parameters. In this study, after calculating the air resistance coefficient of the vehicle by the coasting method when the vehicle is under no load, the rolling resistance coefficient of the vehicle is decoupled based on the functional principle and the least square method during the flat road taxiing phase of the heavy vehicle. Based on this, the vehicle longitudinal dynamics model is established, and the mass of the heavy vehicle is estimated by fitting the vehicle speed with the Newton’s global algorithm. The research results show that the algorithm of this research can calculate the rolling resistance coefficient of the vehicle in real-time during the taxiing phase of the vehicle, with a calculation accuracy of more than 97%, and the online real-time estimation of the vehicle quality, with an accuracy of more than 95%. The algorithm of this study provides a new solution for online estimation of heavy vehicle driving quality, and can be used for automatic shift control of heavy vehicles.
Research on Order Analysis Method of Vibration Signal of Rear Axle Main Reducer
Authors: Huang Zhichao , Yu Weiqing , Liu Juping , Hu Yihua
Published: October 2020

As a key component to increase torque and reduce rotation speed in automobile transmission system, the quality of final drive assembly is related to the working performance of the whole transmission system. As the core component of the rear drive axle of an automobile, the main reducer of the automobile bears the functions of decelerating and increasing the driving torque. Its quality directly affects the safety and comfort of the automobile. The transmission stability and transmission noise of the main drive bevel gear of the main reducer are one of the important factors that affect the performance parameters of the whole system. The order analysis can transform the equal time sampling of vibration signal into equal angle sampling, and transform the non-stationary signal in time domain into the stationary signal in angle domain. Then, the frequency of rotation speed and the position of each harmonic can be determined by spectrum analysis. Starting from the function and structure of the main reducer of the automobile rear axle, this paper explains the necessity of analyzing its vibration signal, and expounds the mechanism and source of the vibration of the main reducer.
Structural Optimization of Vehicle Turbocharger Rotor
Authors: Liu Zhihao , Wang Renren , Cao Fang , Shi Pidong
Published: October 2020

A solid-body model of the rotor system of the turbocharge for light trucks is built. The influence of the oil film bearing support and the material internal damping of the rotor system is studied by using finite element method (FEM), the parameters of the rotor shaft diameter are optimized. The results show that the material internal damping of rotor and the oil film bearing support have complex influence on the dynamic behavior of the rotor and which reduces the running stability of the rotor.
Design and optimization of the frame of the air-driven electrostatic spray locomotive
Authors: Zhao Chunzhao , Zhang Chengliang , Li Ying , Bo Chunzeng , Hao Guangfa , Dou Hongbin
Published: October 2020

Aiming at the problem of excessive vertical bending and deformation of the frame due to the excessive weight of the air-driven electrostatic sprayer when fully loaded, and the crossbeam of the frame is prone to deformation. In this paper, the design and research of the frame are based on the mechanical principle, the Solidworks software is used to model the frame, and the ANSYS software is used to perform static analysis on the frame of the air-driven electrostatic sprayer when fully loaded, so as to obtain the stress and displacement of the frame. Verify the rationality and correctness of the finite element analysis. Finally, with the maximum deformation as the constraint, the lightweight design of the frame structure is carried out to complete the structural optimization of the frame.
A design of Automatic UAV Dock Platform System
Authors: Zang Zhibin , Ma Jun , Li Chaoyang , Wang Haoran , Jing Ruirui , Shi Yongxiang
Published: October 2020

At present, most unmanned aerial vehicles (UAVs) are powered by traditional aero modelling lithium batteries, which have poor endurance and cannot operate continuously for a long time. It greatly limits the application fields of UAVs. To tackle this problem, we design a fully-automatic UAV docking platform that can work under no human situation and assistance to charge the aircraft with insufficient power to help the drone extend its battery life. It also provides an implementation solution for a fully automatic drone docking platform with wireless charging, UAV takeoff and returns, auxiliary positioning, and relay communication. The system mainly includes apron part, docking platform protective shell, solar panel, power conversion equipment, wireless charging base, satellite positioning and communication module, radio positioning signal generator, and radio relay communication module, etc. The power system of the apron part uses electric pushrods.
Design and Simulation of vehicle antenna in different frequency band
Authors: Hu Senkang , Fu Shuai
Published: October 2020

In order to meet the needs of a variety of automotive communication services, vehicle antennas working in multiple frequency bands are emerging. It promotes the development of antenna in the direction of multifrequency and miniaturization. Based on the above research background, this paper designs a vehicle antenna for the requirements of mobile communication frequency band. The antenna consists of a half-t monopole and a half cone monopole, which are vertically placed on a metal floor. T-shaped branches mainly work at low frequency, while cone-shaped branches mainly work at high frequency. The tapered branch is used to improve the impedance matching, increase the bandwidth of the antenna, and the antenna miniaturization is realized by using half reduction technology. The antenna is processed and measured, and the working frequency bands are 720MHz-960MHz and 1.6GHz-4GHz, covering amps, GSM, LTE and 5G.
Design of wireless monitoring system for greenhouse based on LoRa
Authors: Wu Jie , Tang Xiaozun , Lei Jinglan
Published: October 2020

With the wide application of Internet of Things technology, information collection systems based on Internet of Things technology have been gradually applied to the construction of smart agriculture, and the remote monitoring system of greenhouse environment is an example. Some technologies, such as Zigbee and Bluetooth, are widely used, with short communication distances, complex networking, low network reliability, and no coverage of large area applications. In this paper, an information acquisition system based on LoRa technology is designed and implemented in the light of the application needs of greenhouse sheds and the advantages of long distance and low power consumption of LoRa technology.
The structure design of piezoresistive pressure sensor based on MEMS
Authors: Zhou Yongjun , Han Wenman , Shi Shuai , Zhang Qiwei , Guo Tao
Published: October 2020

This paper mainly designed the basic structure of the piezoresistive pressure sensor based on MEMS, analysed and optimized the structure size of the sensor, verified the rationality of the structure by finite element modelling. Through theoretical and optimization analysis, the main structural parameters of MEMS are determined.
Developments and Recent Progresses in Microwave Impedance Microscope
Authors: Chen Zhijie , Guo Baolong , Zhong Zhaoqi
Published: October 2020

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
SOC Estimation Based on Time Series Neural Network and Its Performance Evaluation
Authors: Li Jianhua , Liu Mingsheng , Jiang Yanmei
Published: October 2020

Aimed at the disadvantage of state of charge (SOC) estimation by using traditional feed forward neural network, a new method proposed to soleve the problem. The time series neural network is introduced to estimate the SOC. The experiments results show that the time series neural can estimate the SOC more accurate. In addition, the different structures and the key parameter are discussed to achieve the best performance.
Decision theory analysis of airport driver and management based on linear regression analysis
Authors: Yao Jingmin , Lu Zhenbo , Wang Zicheng
Published: October 2020

In this paper, we turn the driver decision problem into: the game theory between the revenue generated by the driver after waiting for the waiting in the storage pool and the return to the urban area. When the driver chooses to wait for the yield greater than the return to the urban area, he chooses to wait. On the contrary, we return directly to the urban area. Meanwhile, we collect, analyze and process the information about the taxi in Shanghai Pudong Airport and Shanghai, and calculate the proportion of passengers choosing taxi after arriving at the airport through the Nested Logit model. And multiple linear regression equation model is used to deal with airport passenger throughput, forecast the take-off and landing of flights, speed analysis of taxis and the driving range of taxis under different weather conditions, and ultimately determine the drivers’ different decisions.
Analysis of Environment Accounting in the Context of Big Data
Authors: Yao Qian , Gao Yuanyuan
Published: October 2020

The production and operation of enterprises create wealth for themselves, but the consumption of resources in the operation of enterprises also brings pressure to the natural environment. It is an inevitable choice for enterprises to improve their core competitiveness and adapt to the future economic environment more quickly by integrating environmental protection into their strategic planning, management activities and accounting system. The implementation of environment accounting has become the trend of economic development in the future. This paper analyzes environment accounting under the background of big data, by using the method of SWOT analysis. The article holds the opinion that the strengthening of environmental awareness of enterprises and the public and the increasingly perfect laws and regulations have laid a good foundation for the development of environment accounting. Under the rapid development of information technology, some problems of environment accounting, disclosure of environmental information and the increase of operating cost in the short term are also exposed. Finally, this paper puts forward some suggestions on the development of environment accounting at the present stage.
Analysis of loading imaging based on time reversal theory
Authors: Feng Hao , Shi Fengjiao , Qin Lei
Published: October 2020

Based on the simulation results of the finite element software, setting up an experimental platform, and the echo signals reflected from the hole interface are collected on the concrete test block, and the positioning imaging is realized through the time inversion model. According to the simulation imaging research, in this paper, the peak-time contrast imaging method will be used to analyze and compare the displacement field, stress field, and energy field respectively. Finally, damage imaging will be performed through the energy field.
Research on Attack and Defense Game Model for Improving the Efficiency of Network Intrusion Detection System
Authors: Zhou Guohui
Published: October 2020

The widespread use of wireless networks has expanded people’s ability to obtain information, but its inherent network characteristics make it more vulnerable to cyber-attacks. Existing intrusion detection systems usually only target specific attack methods, but are incapable of other attacks. Based on this research background, taking game theory as the theoretical basis, it analyses the offensive and defensive process in wireless sensor networks, and demonstrates the necessity of implementing an intrusion detection system by analysing model equilibrium solutions. In view of the diversity of attack methods of network intruders, the game model is further improved, and a non-cooperative complete information static game model is established. By analysing the mixed Nash equilibrium solution of the model, the best defines strategy of the intrusion detection system is obtained and the system is balanced. Energy consumption and detection efficiency. Simulation experiment results show that the wireless sensor network intrusion detection system based on offensive and defensive game can not only effectively resist multiple network attacks, but also reduce the energy consumption caused by the intrusion detection system and prolong the service life of the network.
Research on Image Processing Technology of Dynamic Face Video Recognition Based on Computer Vision Monitoring
Authors: Liu Min
Published: October 2020

At present, face recognition methods are mainly used to identify static images. In surveillance video, faces in different video frames are correlated and only part of the face can effectively reflect face information; according to the characteristics of face image changes in surveillance videos, A face recognition method based on surveillance video is proposed; firstly, a video face sequence is obtained by combining face detection and tracking technology, and then a partial face image recognition result in the video face sequence is taken as a guide to select all face sequence images The representative face image in the image is recognized, and finally the face information is comprehensively reflected according to the recognition results of all the selected face images; the experimental results show that this method can effectively improve the face in the surveillance video while ensuring the recognition rate and the false recognition rate. Real-time recognition.
Real-time Detection System of Gait Event for Disabled People
Authors: Gong Sijia , Wang Zhiming , Ye Wangwei , Hua Qi
Published: October 2020

The gait detection technique provides objective and quantitative kinematic and dynamic evidence for lower limb amputee, which plays an important role in supporting gait analysis. Whether a prosthesis orthotic is reasonable and can achieve the best therapeutic effect depends on the doctor, therapist and orthotist to conduct a complete physical examination, walking ability test, gait analysis assessment and reassessment after completion. This paper mainly studies and designs a portable gait detection system for lower limb amputees based on the inertial measurement unit, including the hardware and software design of the data acquisition module, the software and hardware design of the data receiving module and the real-time display of the gait detection data of the upper computer software.
The Reliability Design of Switch Chip Based on THENA Process Stimulation System
Authors: Zhao Zhihuan , Zhao Zhibin , Jiang Mingming , Chen Chuanzhong , Song Weihai , Zhang Li , Liu Lili , Yu Huijun
Published: October 2020

This paper mainly focuses on the 2CK6642 silicon switch diode chip, which is mainly used for the surface-mounted packaging device of CLCC-3 metal ceramic. Different from that of ordinary diode, the internal structure of 2CK6642 silicon switch diode has a high resistance region I in the middle of Type P and Type N silicon materials, forming a P-I-N structure. Silvaco TCAD interactive tools, i.e. ATHENA process stimulation system and ATLAS device stimulation system, are used to conduct the design and stimulation of 2CK6642 silicon switch diode chip, so that alternative plugging with external devices could be achieved finally.
Research on Logistics Text Information Abstract Generation Method
Authors: Ma Yao , Zhuang Yufeng , Hu Yanzhu , Tian Wenjia , Wang Song
Published: October 2020

The sensational headline news has seriously affected the news browsing experience of netizens, and has caused an increasingly bad impact on the entire network. Due to this problem, the paper proposed a summary generation method based on Graph2Seq model. This method integrates keywords obtained from graph neural network training with contextual information, and integrates them into the Graph2Seq model as an attention mechanism. It plays a central role in guiding the abstract generation process and improves the accuracy of abstract generation.