bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Application of Hand-held Laser Welding System
Authors: Xin Yanggui , Huang Ye , Gao Shiyi , Li Su , Han Shanguo
Published: October 2020

In this paper, the composition, control mechanism and process control of control system of hand-held laser welding were studied. Based on PLC, galvanometer motor was better protected, control frequency of galvanometer was improved, the system expansibility was enhanced, and functions of continuous welding and continuous spot welding were realized. The application results indicated that the control system not only had the advantages of simple development, short development cycle and comprehensive monitoring, but also simplified the input and operation of parameters, reduced the workload of operators and reduced the operation difficulty of equipment to the greatest extent.
The Development of the Automatic Lifting Gear for precision measurement
Authors: Ruan Guowei , Wang Ziwen , Duan Chenxu , Wang Wei
Published: October 2020

Precision measurement is an important method to evaluate the performance of spacecraft assembly. As flight missions become more complex, precision measurement has become an important link to ensure the reliability of spacecraft [1]. In order to solve the problems of precision measurement instruments required during the precise assembly of some components in the spacecraft assembly process, the installation height is high, the stability is sensitive, the ground measurement site is limited, the types of matching measurement instruments required are large, and the transportation needs are strong. An automatic lifting platform solution for longitude measurement is proposed, and the prototype is tested. The test results fully meet the requirements, which verifies the feasibility of the scheme.
Research on the Reliability Test of a Micromechanical Gyroscope with Full Symmetry Structure
Authors: Li Shen , Chen Lixiang
Published: October 2020

The reliability of micromechanical gyroscope has a great influence on the performance of precision guided weapon. This paper studies the reliability test of a type of micromechanical gyroscope with full symmetry structure. From the perspective of equipment failure prevention, combined with the mapping relationship between the failure mode of micromechanical gyroscope and the external environment load, and referring to the requirements of the use environment of micromechanical gyroscope, designs the reliability test flow, and analyzes the reliability test flow The test results provide a new design method of test flow for reliability test of MEMS gyroscope with full symmetrical structure, which is of great value for popularization and guidance.
Research and Analysis on Low-temperature Charging Control Strategy of Electric Vehicle
Authors: Li Chan , Chen Lixue , Li Jin
Published: October 2020

In this paper, the pure electric vehicle is taken as the research object. Under the same conditions (such as the same limit temperature) under different conditions, the charging control strategy test of the collective prototype and the same vehicle is carried out under different conditions. The test data is used to analysis vehicle charging control strategy and key technical indicators that affect charging performance. The test results show that from the analysis of the collective prototype test, AC charging can be started normally in the low temperature environment. The charging power of most test vehicles has a certain attenuation compared with the normal temperature, and the charging time has a certain increase. From the same temperature comparison test of the same car, the difference of charging current trend, battery input current, battery temperature and maximum charging current between low temperature and normal temperature is analyzed.
Research on Zero-speed Detector Based on INS / Wheel speed and Vehicle gear
Authors: Liu Pan , Huang HongQuan
Published: October 2020

The zero-speed detector is required for the correction of the positioning error and the initial static alignment of the autonomous vehicle. The zero-speed detector that only depends on the INS (Inertial Navigation System) has zero-speed misjudgment. The performance of the detector after the fusion of wheel speed has been improved, but the wheel speed is still not integrated in scenarios such as long periods of stationary, emergency stop and reverse. Because the wheel speed signal only outputs the vehicle speed when the vehicle reaches a certain speed, there is a long initial alignment time, and the wheel speed is not fused in the complex driving process. This paper proposes a Vehicle gear information added to the INS / wheel speed fusion zero speed detector to achieve a 10s increase in the initial alignment time, the effect of wheel speed fusion has been improved, and thus the zero speed The accuracy of detection.
Back propagation neural network rainfall prediction model based on particle swarm optimization
Authors: Luan Zhangbao
Published: October 2020

It is a feasible method to use neural network construction to predict rainfall in the region. However, the error of this method is bigger, and its error is from the neural network structure itself. In view of the problem that the rainfall prediction precision based on BP neural network construction is low, this thesis proposes to optimize BP neural network rainfall prediction model with particle swarm optimization (PSO) algorithm, and then use the same training samples and testing samples to conduct a simulation experiment to the forecast model before and after optimization. The results show that the experimental testing result of the forecast model after optimization is more in line with the actual value.
Evaluation method of minimum area roundness error based on sector search
Authors: Liu Changying , Wang Libin
Published: October 2020

The evaluation of roundness error has an important reference in the quality evaluation of shaft parts. Aiming at the problems of principle error, model error and non-linear solution difficulty in the existing roundness error evaluation algorithm, the area search algorithm is combined with the roundness error minimum inclusive area evaluation method, and the area fan search method is used The error is evaluated. By constructing reasonable simulation data and using the designed evaluation method to calculate the roundness error of the simulation data, the results of the roundness error of different evaluation methods are compared and analyzed. And the actual roundness error evaluation and method verification are carried out through experiments. The results show that this method is simple to operate, stable and reliable, and has higher calculation efficiency, and the evaluation accuracy is significantly improved compared with the least square method, the largest inscribed circle method, and the smallest circumscribed circle method.
Research on Face Recognition Based on Gabor-LeNet Convolutional Neural Network Model
Authors: Dai Qinxuan , Luo Xiaoshu , Meng Zhiming
Published: October 2020

Aiming at the problems of slowing convergence speed, and low recognition accuracy in the face recognition training of the existing LeNet-5 convolutional neural network, an improved LeNet-5 convolutional neural network model is proposed and applied for face recognition. The main improvement is the use of Gabor filter to initialize the first convolutional layer and the activation function of Parametric Rectified Linear Unit (PReLU). The recognition accuracy of the improved model on ORL and GT face datasets has reached more than 98%. At the same time, the recognition accuracy rate on the face data set AR with occlusion has reached more than 90%, indicating that the improved model has strong robustness.
Research on Intelligent Control Algorithm for Automatic Drilling of Vehicle-mounted Rig
Authors: Zhang Yang , Chang Jianghua , Fan Dong , Tian Hongliang
Published: October 2020

The adaptability of traditional PID, fuzzy PID and feedback linearization sliding mode variable structure control intelligent algorithm to automatic drilling is analyzed. The results show that the feedback linearization sliding mode variable structure control algorithm has more ideal response speed, control accuracy and robustness, which solves the nonlinear problem of the electro-hydraulic control system of the truck-mounted drilling rig and improves the tracking control accuracy of the system during automatic drilling.
Adoption of Back Propagation Network Improved by Particle Swarm Optimization in Network Intrusion Detection
Authors: Guan Chengli , Yang Yue
Published: October 2020

In order to scientifically and reasonably solve some problems in the existing intrusion detection system and effectively maintain the security of network information, the improved particle swarm optimization (PSO) algorithm and back propagation (BP) neural network are used to form a new algorithm to optimize the intrusion detection technology. First, the traditional PSO algorithm is improved, and it is used to optimize the BP neural network. Then the fused new algorithm is adopted to establish an intrusion detection model. Finally, the detection effect of the new model is verified through the experiment. The results show that the detection rate of the intrusion detection model for network attacks can be as high as 93.31%, and it also greatly reduces the false positive rate of the system, which can be as low as 1.85% and has a high practical application value. This study has important reference value for the application of BP neural network improved by PSO in network security.
An Adaptive Multi-Scene Single-User Flexible Negative Control Effect Evaluation Algorithm
Authors: Zhang Gaoyang , Ke Huimin , Wang Gang , Wang Dong
Published: October 2020

Designing an evaluation algorithm that can adapt to the demand response of multiple scenarios can effectively reduce the cost of secondary development of the system and improve the willingness of users to participate in the regulation. In this paper, a self-oriented single user flexible negative control evaluation algorithm is proposed. In this algorithm, the determination method of target load curve is proposed first. On this basis, the generalized distance between curves is defined according to the characteristics of common evaluation indexes. Several parameters are reserved in the generalized distance. By adjusting the parameters, the evaluation scheme can be adapted to different scenarios. Then, this paper puts forward a method to set the initial value of parameters. By using this method and neural network, and combining with the existing evaluation samples, the parameters in the generalized distance can be determined automatically. Furthermore, an annual updating method of each parameter in the generalized distance is proposed by using the algorithm of neural network. Finally, the effectiveness of the algorithm is verified by the historical response data of Changzhou Lvjian district.
Node Deployment Optimization in Wireless Sensor Networks
Authors: Wang Zhenhuan
Published: October 2020

Recently, wireless sensor networks (WSNs) which consist of a group of cheap but energy-limited nodes with functionalities of sensing, computation, and communication, are widely applied to detect or monitor the events in interest. One of the fundamental design issues in WSNs is how to deploy or relocate the nodes to optimize the desired sensing performance. This survey focuses on a variety of sensing performance models and movement-assisted node deployment approaches that have been studied and proposed in the literature and highlights their strengths and limitations. On one hand, this tutorial proposes an exhaustive classification of existing movement-assisted self-deployment algorithms. On the other hand, some physical constraints and their impacts, such as limited-battery and obstacles are introduced in this tutorial. Then, the detailed comparisons between the existing algorithms with respect to different scenarios are well performed in this tutorial. Therefore, this paper provides not only a view of the state-of-the-art but also the insights for selecting the appropriate self-deployment algorithms for different sensing scenarios. Furthermore, the open problems and challenges in the area of node deployment are summarized at the end of this tutorial.
Research on University Energy Environmental Protection Monitoring System Based on Computer Network Technology
Authors: Shen Jie , Xia Qing
Published: October 2020

The issue of campus energy and environment has become one of our increasing concerns. Environmental issues have become an important assessment index restricting the development of schools and students’ self-improvement. Only the sustainable development of the environment can ensure the smooth implementation of school education. For this reason, the development of an efficient energy environment monitoring system based on computer networks is imperative. Based on this research background, the paper analyses the needs of an efficient micro-energy environment monitoring system, and discusses the functions of the monitoring system and related hardware and software. Finally, the system was tested to verify the feasibility of the system.
The Research on Data Acquisition and Analysis Platform for Lathe Machine based on Stream Computing
Authors: Lv Taizhi , Zhang Juan , Chen Yong
Published: October 2020

Manufacturing industry is the main body of national economy, the foundation of building a country, the tool of rejuvenating a country and the foundation of a strong country. Lathe machine is the basis of manufacturing industry, which determines the level of intelligent manufacturing industry. This paper uses the real-time processing characteristics of stream computing to build a data acquisition and analysis platform for lathe machine. This platform monitors the efficiency of the equipment in real time, improve the utilization rate of the equipment, and improve the processing efficiency. The platform collects data in real time, analyses the data, and tracks the efficiency and process of the process, which is of great significance to optimize the process and improve production management.
An Unsupervised Learning Short Text Clustering Method
Authors: Dai Zuhua , Li Kelong , Li Hongyi , Li Xiaoting
Published: October 2020

Due to the continuous development of Natural Language Processing (NLP), the task of short text categorization has been paid more and more attention. In short text clustering, the high-dimensional sparseness of text representation matrix becomes a challenging problem. This paper proposes a deep embedded method for feature extraction and clustering allocation using auto encoder of sentence distributed embedding. This method maps from data space to low-dimensional feature space and iteratively optimizes clustering targets. Experimental results on three short Chinese text data sets verify the effectiveness of the method. Moreover, it is superior to the existing correlation clustering methods.
The Clock Model of Tracking and Measuring the GNSS Orbit About Motion Observation Station
Authors: Liu Yang , He Jing , Wang Xiao , Wu Guangzhi
Published: October 2020

The clock model is analysed much in this paper which is key to GNSS orbit determination. First it is introduced how to calculate sampling distance. That is necessary and mostly to rebuild the clock model of incept equipment from both GNSS single data of especial PRN codes point positioning and passive ranging system. Then the formula is gived about both clock error model of GNSS and the change from GPST to time of absolute positioning And the express about telegraphese navigation to GPST is taken apart particularly. Last both the process of GNSS amending clock model with telegraphese navigation code and of calculating sampling distance and experience of shorting positioning distance first are given.
Computer Aided Research on the Physical Security of Ubiquitous Power Internet of Things Equipment
Authors: Tan Long , Wei Chunming , Zhang Kexin , Chen Shiyu
Published: October 2020

Through the analysis of the microgrid architecture under the access of the ubiquitous power Internet of Things and the current construction of the peak shaving auxiliary service market, the feasibility, necessity and economy of the microgrid participating in the peak shaving auxiliary service market are demonstrated. The thesis makes full use of information technology such as Internet of Things technology, computers, big data analysis, distributed applications, and mobile technology. It focuses on the safety management and control of the work site of power grid enterprises, and uses intelligent monitoring terminal equipment to access, such as access control (barrier), Authorize locks, intelligent safety monitoring robots and electronic fences to supervise and control production sites and operating equipment, standardize operating procedures, and improve on-site safety management and control capabilities and terminal operating equipment real-time supervision capabilities.
Research on the Application of Deep Learning in Computer Network Information Security
Authors: Zeng Han , Liu Zixi , Cai Honghao
Published: October 2020

With the development of current information technology, computer networks are playing an increasingly important role in people’s daily work and life. While the network brings great convenience to people, it also puts people at risk. A large number of information is stored on the network, which may be illegally invaded at any time, and there are serious security risks. Therefore, research on computer network information security is of great significance. Based on this, this article analyzes the application of deep learning in computer network information security. First, it gives an overview of network information security, introduces its concepts and current development status in China, then explains the concepts and principles of deep learning, and then analyzes the application of deep learning in network information security, including the current application status and its application in 7 aspects in details. This article has certain significance for deepening the research and application of deep learning in the field of information security.
Analysis of Autonomous Vehicle Safety Constraints Based on Systems-Theoretic Process Analysis
Authors: Hu Zongmei
Published: October 2020

This article starts with the safety challenges faced by autonomous vehicles, sorts out the development stages of autonomous vehicles and the cases of safety threats. It combines the safety standards of connected vehicles through case analysis, and uses STPA to analyze unsafe controls. Based on the four dimensions of laws, regulations, hardware, software, and network, this paper analyzes the safety constraints of autonomous driving technology, and proposes corresponding safety constraint strategies. The analysis results show that the improvement of the automobile life cycle safety regulation system, the establishment of a new type of anti-deep learning algorithms, and the construction of big data control links by OEMs can effectively reduce the safety risks of autonomous vehicles, which is worth further experimental research.
Modal Analysis of Thrust Coupling Based on ANSYS Workbench
Authors: Han Changkun
Published: October 2020

Through nx12.0, a solid model of a thrust coupling is established, which is transformed into a finite element model by using workbench 19.0, and modal analysis is carried out. The sixth order natural frequency and critical speed of the thrust coupling are obtained, and the first six order vibration figures are obtained, which clearly shows the natural vibration characteristics of the structure, and at the same time, it is the vibration analysis and structural optimization of the thrust coupling. The design provides a theoretical basis.
A Mathematical Morphology Algorithm for Detection and Counting of Nuclear Tracks
Authors: Pan Yi , Qiu Lei
Published: October 2020

Solid state nuclear track detection plays an extremely important role in the field of nuclear technology, but artificial cognition is extremely time-consuming and labor-consuming. In this paper, an automatic measurement system of solid state nuclear track is proposed, in which the microscopic image of the nuclear track is obtained by the camera and processed digitally, and then use software to identify the image content. Based on the image restoration theory, this paper preprocesses such as noise elimination and luminance correction, and the mathematical morphology algorithm is used for track counting and parameter estimation. The comparison results between automatic recognition and manual recognition show that the algorithm can effectively identify track points from images under different conditions and improve work efficiency.
Topology optimization of aircraft flip spreader for lightweight
Authors: Diao Jiandong , Zhang Chenfeng , Huang Qiushuang , Wang Feng
Published: October 2020

In recent years, structural optimization design and computer-aided design methods have achieved long-term development. In order to achieve design innovation, improve product performance, and reduce production costs, enterprise pay more and more attention to the new design methods. Optimization design has become the key process of product development. Especially in the fields of aerospace, automobile that focus on lightweight and fuel saving, the scope and depth of topology optimization design is rapidly developing. In this paper, topology optimization has been applied on design of aircraft flip spreader, using ANSYS Workbench software to reduce the weight of the spreader. First, using static structural tool for static analysis, set loads and supports, solve the stress distribution of spreader under various working conditions. Then, using topology optimization tool for optimization design, set the optimization variables, constraints and objective, solve the optimal material distribution. At last, compared with traditional experience-based design methods, topology optimization design methods have obvious advantages, the weight of spreader has been reduced 25.5%, without affecting the component strength.
Computer aided design and simulation of the amplification structure of 3D electronic packaging printer
Authors: Gao Haitao , Liu Zhiwei , Meng Yu , Li Qi , Yue Xiong , Liu Fengmei , Li Likun , Yong Yiyao
Published: October 2020

3D electronic packaging printer can realize the transformation of electronic packaging from 2D to 3D, and it is a very important new device in the electronic industry. The amplification structure is the key part of it. In this paper, by means of geometric calculation, computer aided design and simulation, an improved rhombic 3D design drawing and key design parameters of the amplification structure are obtained. The rhombic amplification structure is simulated by finite element simulation method, and the simulation amplification coefficient is 9.05, which is consistent with the design amplification coefficient of 9.36. The displacement output diagram and stress cloud diagram show that the displacement and strength of the rhombic amplified structure conform to the service requirements of 3D electronic packaging printer.
Application Scenarios Of Knowledge Graph In IT Operation
Authors: Li Ziqian , Liu Xusheng , An Yeteng , Sun Lintan , Zhang Yintie , Wan Jing
Published: October 2020

Since Google optimized its search service by using knowledge graph, the application of knowledge graph has developed rapidly, especially in the aspect of information system operation and maintenance. CMDB (configuration management) built based on knowledge graph plays an excellent role in fault location of information system.However, the operation and maintenance data generated during the operation of the information system are diverse, not limited to configuration, correlation, and alarm information, and include all data generated during the operation and maintenance of the system. The knowledge map technology is used to effectively correlate various types of operation and maintenance data, which is more conducive to identifying core application scenarios of the information system, thereby further improving the global control ability in the operation and maintenance process. Therefore, this paper explores the rich application scenarios and prospects of knowledge graph application in the field of information operation and maintenance.
Optimization Algorithm of Bearings Only Tracking based on Cubature Kalman Filter
Authors: Xiao Fu , Lei Liu
Published: October 2020

In view of the shortcomings of low precision and poor performance in the process of bearings only tracking (BOT) in wireless sensor networks(WSNs), an optimization algorithm of BOT based on the cubature Kalman filter(CKF) in WSNs is proposed. The sensors with spatial distribution are divided into several clusters, the number of sensors in each cluster is the same, and each sensor detects data to form a local estimation. Then uploads it to the cluster head (CH) node data fusion, so as to get the accurate information of the target. In order to improve the positioning accuracy, the CKF is used to process the data of each sensor, and then it is uploaded to the CH node to ensure the tracking ability of the filter to the changes of structural parameters. The CH node uses weighted data fusion algorithm to get the final fusion result. The simulation results verify the effectiveness of the method.
An Online Dynamic Social Network Evolution Community Discovery Method
Authors: Hu Zhangrong
Published: October 2020

Online social network in the study, dynamic implicit community or group structure of discovery and detection is a very key question at the heart of evolution, it is in the medium (Mesoscopic) view to observe the online social network hidden structure characteristic, predict the evolution trend, control of the situation, found that network abnormal mass incidents, etc. It is of great significance. The purpose of this paper is to provide technical advice for community discovery research by studying online dynamic social network evolution community discovery methods. This paper analyzes the characteristics of local clustering coefficient and node similarity calculation in unsigned network, and proposes the extended local clustering coefficient as the structural attribute of the edge in unsigned network. This property can better reflect the characteristics of local network density and network structure. Combining the new edge structure measure with the label propagation algorithm with linear time complexity, a label propagation algorithm combining the extended local clustering coefficient is proposed. The results showed that the accuracy of community discovery was improved by 32.6 percent in dynamic social networks.
Research on Assistant Diagnosis of Fundus Retinopathy Based on Deep Learning
Authors: Li Haoyu , Yuan Ziwen , Zhang Kun
Published: October 2020

Macular edema has three types of lesions: REA, PED and SRF. Early detection of edema areas can play a key role in the treatment of diseases. Neural network is a powerful tool for image processing in medical field. Deep learning automatically finds features that are ideal for “AI+Medical Imaging” diagnostics. This paper mainly proposes a new method of neural network that includes Object recognition and classification to improve the accuracy and speed of detection of macular edema area. The method is offered to be evaluated and compared to the traditional network method. The results indicate that the method applied reducing the over segmentation effect and getting a more accurate result of the option than traditional network method
Analysis of influencing factors of hospitalization cost based on BP neural network model*
Authors: Xia Hongwei , Chen Chaoqun
Published: October 2020

In view of the present social status quo, “cost of medical care”, according to a national disease surveillance center of 2700 medical record sample data, using BP neural network method, through SPSS software operation, get in 26 factors affecting hospitalization cost, age, level of hospital, hospital source code, disease types, cost the importance of the five factors relative to the highest, and the accuracy rate of more than 85%, so as to provide basis for government decision-making departments to formulate corresponding health policy.
Proof the Positive Definiteness for the Jaccard Index Matrix Based on Fuzzy Sets
Authors: Sun Linge , Song Yafei , Lei Lei
Published: October 2020

This paper addresses the proof process of the positive definiteness property for the Jaccard index matrix, which is applied to define a metric distance measure between belief functions. Our proof is implemented in the framework of fuzzy sets. Based on the decomposition theorem of Jaccard index matrix proposed by M. Bouchard et al, and the transformation between crisp sets and fuzzy sets, the positive definiteness of the Jaccard index matrix can be proved in a concise way.
Design of Torque Standard Device for Extreme Environment
Authors: Bo Tao , Qi Feng , Liu Xiufang , Hu Jiacheng , Yin Jianlong , Li Dongsheng
Published: October 2020

A torque standard device suitable for extreme environment is designed. The standard device transmits the torque value of calibrated torque sensor in extreme environment to normal temperature environment through torque transmission shaft to realize the calibration function. The mechanical design of the shaft of the device is carried out, and the error sources of the calibration device are analyzed, and the error distribution is carried out according to the technical indicators of the standard device. The calculation results show that the maximum allowable error of the standard device is 0.7Nm, which meets the calibration accuracy requirements of the extreme torque standard device.
Research And Practice Of 600MW Subcritical Steam Turbine Inter Generation Upgrading
Authors: Shengxiang Jin , Liuhu Wang , Jinsong Zhang , Qi Zhang , Qianyu li , Wei Bai , Chuan He , Yong Zhou , Daming li , Yu Xiao
Published: October 2020

This paper introduces the upgrading technical scheme and application of subcritical 600 MW steam turbine. Firstly, the performance and existing problems of 600 MW subcritical unit before modification are analyzed, and the performance and output of steam turbine before modification are determined. Secondly, the performance of 300MW subcritical steam turbine retrofit and the performance guarantee value of each retrofit manufacturer are studied, and the thermal calculation is carried out. At the same time, the performance index of subcritical 600 MW steam turbine after upgrading is analyzed. Finally, according to the channel reconstruction scheme provided by the manufacturer, the optimization design of cold end optimization, last stage blade selection and base foundation reconstruction is proposed.
Research on Operation Stability of Standard Orifice Plate in Nuclear Power Plant KME System
Authors: Yin Yelei , Xia Ming , Wang Xiaolong , Yang Zhe
Published: October 2020

In order to promote the power stability of nuclear power units, the KME thermal balance principle is used to further analyze the factors affecting the flow of the standard orifice plate of the nuclear power plant KME system (Test Instrumentation). The high-accuracy three-coordinate measuring machine is used to detect the arc radius of the entrance edge of the standard orifice plate and the inner diameter of the standard orifice plate. Analysis the operation history data of the standard orifice plate of the nuclear power plant KME system. Study the running radius of the entrance edge of the same orifice plate and the inner diameter of the standard orifice plate under different operating units. Obtain the influence of the arc radius of the entrance edge of the standard orifice plate and the inner diameter of the standard orifice plate of different types of units.
RETRACTED: Research on Electrical Characteristics of Mixed Media Based on Computer Simulation Technology
Authors: Aorigele
Published: October 2020

Computer technology is mainly used to study the electrical characteristics of mixed media through calculation and analysis of its equivalent dielectric constant. Since the geometric distribution, content, and structural shape characteristics of different phases in the mixed media will affect the equivalent dielectric constant to varying degrees, we need to analyze the relevant factors. However, when analyzing the relationship between the geometric distribution characteristics of each phase and the equivalent permittivity in a mixed medium, the traditional hybrid formula analysis method cannot meet the actual needs of complex equivalent equivalent permittivity research. Therefore, we must adopt computer simulation technology and use relevant simulation software to realize the conversion between geometric distribution and correction factor. In addition, we can also modify the mixing formula through the porosity function to accurately understand the electrical properties of the mixed medium.
Common fault Analysis and Countermeasures of key Components of intelligent electricity meter
Authors: Chen Zhiru
Published: October 2020

In recent years, with the State Grid Corporation's vigorous construction of smart grids, smart meters have been rapidly promoted in the power system. After several years of online operation, the operating reliability of smart meters has also stabilized. However, in the process of widespread use of smart electric energy meters, the quality problems of clock chips, batteries and other components have also been exposed. This article takes the component failures encountered in the detection and operation of the smart electric energy meter as an example, analyzes the causes of the failures based on the four typical abnormal phenomena, and then conducts the opening detection for the above reasons and determines the nature of the failure based on the test conclusions. Finally, a corresponding fault management platform is established through the collection of electric energy meter fault data, which realizes all-round management and control of the fault handling process and selection of the qualifications of smart meter suppliers, thereby ensuring the quality of components and improving the operation of smart electric meters reliability.
Rational Analysis of Self-Alignment Force of Reactive Additive Monomer with Multiple Methods
Authors: Zhang Yu
Published: October 2020

Analysis self-alignment force (SAF) of reactive self-assambly additive monomer is highly valuable in self-alignment vertical alignment mode(SAVA), because this force directly influences performance of optoelectronics device. In this work, SAF has been studied by multiple methods, such as atomic force microscopy, mueller matrix imaging polarimeter. Reactive additive monomer and LC molecular were immobilized on the surface of an AFM probe and ITO, respectively. Due to the complexity of the additive monomer-hydroxy, additive monomer-LC moluclar interaction, parallel experiments were designed to discriminate specific interactions. The difference of pretilt angle between TFT side and CF side also reveals the difference of SAF at various structure cell.The additive with strong SAF showed well alignment state after forming into optoelectronice device.
Mechanical modeling and analysis of V-shaped LUM mechanical drift
Authors: Geng Ranran , liang Chenguang , Yao Zhiyuan , Huang Jiacai
Published: October 2020

The flexible clamping component is used to support the stator of linear ultrasonic motors (LUM). It distinctly improves the vibration characteristics of the motor and simplifies the structure, nevertheless brings the mechanical drift phenomenon. In order to improve the positional accuracy and structural stability of the V-shaped LUM, this paper studies the mechanical drift mechanism of the LUM with clamping component. Mechanical model of the motor with flexible clamp which occur mechanical drift is established, and the mechanism as well as control methods are analyzed. Based on the model, the mechanical drift experiments of clamping components with different stiffness are carried out. The experimental results show that the mechanical drift is obvious when the stiffness of the two flexible clamps are different, while the mechanical drift hardly occur when using the clamping components with tremendous tangential stiffness. Therefore, a kind of straight beam clamping LUM is proposed. The research indicate that the new motor has little mechanical drift, better running performance and higher structural stability, which can be used in the precision positioning of the mechanical devices.
Study on structural strength of paver screed based on finite element method
Authors: Jia Jie , Liang Yanbin , Wan Yipin
Published: October 2020

In order to ensure the rationality of screed structure design and reliability of structure strength, the structural finite element model of paver screed was established with the aid of APDL language. The static and dynamic characteristics of the screed are analysed based on the finite element method. Results show that maximum principal stress of screed in the bar is 113Mpa, maximum deformation is 1.82mm, the screed meets the normal demand both in intensity and rigidity. Natural frequencies and according vibration model of screed were obtained from finite element modal analysis, the first-order natural frequency in a vibrator adjustable frequency range, so working frequency should avoid the first-order natural frequency, and the change rule of strain and stress amplitudes of screed with the vibration frequency was obtained from harmonic response analysis. The structural static and dynamic analysis of screed provides the basis for the structure design and the adjustment of construction parameters.
Analysis of Abnormal Low-voltage Line Loss in the Transformer Area Caused by Distributed Photovoltaic Access
Authors: Qiao Kai , Zhang Guomin , Liu Ningchao , Man Hongwei
Published: October 2020

This paper analyzes the problem of abnormal low-voltage line loss in the transformer area caused by distributed photovoltaic access. First, it summarizes the solutions of distributed photovoltaic access to the transformer area through low-voltage, studies the calculation method of the current low-voltage line loss in the transformer area and then analyzes the reasons of the abnormal line loss caused by distributed photovoltaic access in both technology and management, finally, the countermeasures are given in the conclusion.
The Attitude Measurement of Horizontal Directional Drilling Equipment Based on Quaternion and Extended Kalman Filtering Method
Authors: Shi Tiantian , Wu Jian , Hu Yu , Ding Lei
Published: October 2020

For the attitude measurement of drilling tool in horizontal directional drilling, a new method for attitude measurement system based on quaternion and extended Kalman filter (EKF) is presented. The attitude measurement system consists of three-axis accelerometer and three-axis gyroscope. Based on the data information obtained by the inertial sensor, the attitude angle of the drilling tool can be calculated. To limit the errors of angle measurement, this research combines the errors of the sensors and the measurement noise and uses EKF method to obtain three angles. Three angles consist of pitch angle, roll angle, drilling angle. The proposed method was tested by two experiments. Results showed that this method could limit the error of drilling tool attitude measurement and reduce the impact of environmental noise on the measurement.
A Detection and Identification Method Based on CNN for Laser Point Thermal Radiation
Authors: Yang Haichuan , Xie Ruidong , Yi Yingmin
Published: October 2020

Aiming at the high demands of temperature and precision in the aspect of additive manufacturing, a method based on CNN was proposed for estimating measurement. The network was trained through the collected laser thermal radiation images for image recognition and isotherm estimation after modeling a CNN. The experimental conclusion verifies that the isotherm detection and temperature estimation of the laser point can be efficiently implemented in proposed method.
Structural design and analysis of a one-way drive clutch for printers
Authors: Liu Pingping , Wen Guang , Zuo Fangjun , Deng Xingyue
Published: October 2020

Based on the application background of the paper reversing function of a duplex printer, a clutch which can realize one-way transmission is designed. The driving gear and driven gear are dynamically connected by a connector with wedge teeth and spiral slope. When the motor rotates forward, the clutch can normally output power to the load, and when the motor reverses, the power is cut off, and the load cannot rotate. The clutch can not only realize the paper reversing function, but also make the load not rotate with the reverse of the motor, so as to protect the toner cartridge and heating roller. The clutch has the advantages of few parts, low cost, convenient installation, compact structure and low noise after assembly. In addition, on the basis of the structural design, the necessary mechanical properties of the clutch are analyzed to provide theoretical support for structural improvement.
Dynamic characteristics and influencing factors of azimuth axis of a new antenna pedestal
Authors: Guang WEN , Ming CHENG , Xianchun TANG , Xinhui JIANG , Xuerong ZHANG
Published: October 2020

Based on the finite element method, the dynamic characteristics of the azimuth axis of an antenna pedestal were studied. With the help of modal analysis module of finite element software, the modal natural frequency and modal shape of the structure were obtained, and the influence of structural size parameters on its dynamic characteristics was also investigated. Through the research, it can be concluded that the first six natural frequency values of the azimuth axis are 220.21, 220.24, 1178.2, 1519.9, 1531.3, 1531.3 Hz. And the first six modes are shown as follows: the first and second order is the swing mode of the axis, the third order is the up and down stretching mode of the azimuth axis, the fourth order is the torsional vibration mode of the azimuth axis, and the fifth and sixth order are the first bending vibration mode of the azimuth axis. The first and second order natural frequencies of the axis decrease with the increase of size parameters d2
, l1
and l2
, and increase with the increase of size parameters d1
, d3
and d4
. The analysis results provide a theoretical basis for the optimization of the dynamic performance of the azimuth axis.
Design and test of bullet shell counter
Authors: Yaxin ZHANG , Hua XU , Renggui LIU , Wanmin LI
Published: October 2020

In order to solve the problem of counting when the bullet shells is recovered, two different types of bullet shells counters are designed. Through theoretical analysis, the size of the slot in the slot type bullet shell counter is determined, and the best times of abrupt reverse of the slide mechanism in the chute type shell counter is determined through experiments. The comparison test of two kinds of bullet shell counter shows that: The ejection efficiency of the chute type bullet shell counter is 317.5 pieces / minute, and the counting accuracy is 99.00%; the counting efficiency of the slot type bullet shell counter is 113.2 pieces / minute, and the counting accuracy is 99.75%.The chute type bullet shell counter is suitable for high-efficiency counting when large-scale bullet shell is recycled, and the slot type bullet shell counter is suitable for small-scale accurate counting. Both kinds of bullet shell counters meet the requirements of automatic shell counting put forward by the army.
Analysis of frost resistance of basalt fiber cement solidified aeolian sand subgrade
Authors: Yan Jingchen , Ma Yanpei , Zhang Xin , Yan Junjie
Published: October 2020

Through the freeze-thaw cycle test, the damage characteristics of basalt fiber cement solidified aeolian sand with different basalt fiber and cement content, different freeze-thaw cycles and curing age were analyzed. The test results show that with the increase of the basalt fiber content, the damage degree of the basalt fiber cement solidified aeolian sand under the action of freeze-thaw cycle first decreases and then increases, and the damage degree is minimum when the basalt fiber content is 0.5%; The 90-day-old specimens were more resistant to freeze-thaw damage than the 28-day specimens. By establishing the damage model of unconfined compressive strength loss rate and freezing and thawing times of basalt fiber-solidified aeolian sand, it was found that it obeyed the quadratic polynomial change trend, and the fitting accuracy was greater than 0.9. The gray entropy analysis method was used to find that the amount of cement had the greatest influence on the mass loss rate and unconfined compressive strength of basalt fiber-solidified aeolian sand specimens.
Adversity quotient and logical thinking skills of prospective primary school teachers
Authors: Ristiana M G , Istianah E , Pratama D F
Published: October 2020

A teacher should have a good teaching skill for making a better generation later. Based on researcher questionnaire before this research, teacher in school still haven’t teach a real concept to their students. Therefore, to prevent this phenomenon they need a good teaching strategy. Logical thinking skills and adversity quotient are the important things that they need to make the strategy. The aim of this research is to analyse prospective primary school teachers’ logical thinking skills and adversity quotient. In order to do so, we set up a qualitative descriptive method with 40 students as participant. Test of logical thinking skills about mathematics, questionnaire and interview given to them. The results showed that there are 15% of climber category, 72.5% of camper category and 12.5% of quitter category. The logical thinking skills of the students following their adversity quotient, the students that in climber category have a very good logical thinking skills, in camper category have good logical thinking skills, and in quitter category have a bad logical thinking skill. Based on the results, we concluded that prospective primary school teachers still in camper category and have a good logical thinking skill.
The relationship between self regulated learning and mathematical creative thinking ability
Authors: Runisah  , Gunadi F , Ismunandar D
Published: October 2020

This study aimed to analyze the relationship between students’ Self Regulated Learning (SRL) and Mathematical Creative Thinking Ability (MCTA). A quasi experimental was applied in this research. The sample consisted of 173 eighth grade students taken from high and medium level schools in Indramayu, West Java province, Indonesia. The sample was divided into three groups with three different learning models. One group used the 5E Learning Cycle model with metacognitive techniques (LCM), and the other two groups each used the 5E Learning Cycle (LC) and Conventional Learning (CL) models. The data were collected through test of MCTA and SRL scale. The results of the study concluded that there is a significant positive correlation between SRL and MCTA. There is a strong correlation between students’ SRL and MCTA in group with the LCM model, meanwhile in groups, with LC and CL model the correlation in the medium level.