bluuebunny/crossref_metadata_2025_split huggingface dataset:
Classification and Recognition of P300 Event Related Potential Based on Convolutional Neural Network
Authors: Ma Mingjie , Feng Shuting 
Published: June 2021

Abstract
Electroencephalography plays an important role in brain science research and human disease diagnosis, especially the classification and recognition of P300 event related potential has been widely concerned. In view of the low accuracy of P300 potential recognition in brain computer interface system, a classification and recognition method of P300 event related potentials based on improved Convolution Neural Network (CNN) is proposed. First, we use EEGLAB toolkit for preprocessing operations such as filtering, power frequency removal, eye movement removal and normalization. The character multiclassification problem is then transformed into a dichotomous task of whether P300 signals existed, with classification labels manually made based on stimulus row and column numbers in the training data. Finally, contrast is made with the Support Vector Machine (SVM) algorithm. The results show that the CNN algorithm we employed can achieve 98.5% correct prediction on the testing data, with higher accuracy rate and reliability than the SVM algorithm. This is of great significance for the application of brain-computer interface.
Modal Analysis of Three-point Contact Outside Diameter On-line Measuring Device Based on ANSYS Workbench*
Authors: Song Peilong , Hu Lai , Kan Fan , Chen Yaolong 
Published: June 2021

Abstract
In the grinding process, because the grinding wheel will wear, it is difficult to control the grinding accuracy of the workpiece by the grinder itself. Using radial measuring instrument to measure workpiece size in real time, detect the change of workpiece size and guide the adjustment of grinding parameters can improve the production efficiency of grinder and reduce the machining cost, which is an important link in the machining process of grinder. Different from the traditional two-point contact on-line measurement technology of outer diameter, this paper designs and develops a set of three-point contact on-line measurement device of outer diameter based on the principle of bow height and chord length. In the measuring process, two fixed probes and one displacement sensing probe are in contact with the outer diameter of the workpiece at the same time, and the on-line measurement of the outer diameter of the workpiece is realized by solving the positional relationship among the three probes. In order to avoid resonance in the measuring process of the three-point contact external diameter online measuring device, In this paper, the modal analysis of the device is carried out in the environment of ANSYS Workbench 17.0, and the results show that the first-order and second-order natural frequencies of the free mode of the three-point contact on-line outer diameter measuring device are 648.57 Hz. When the measuring claw of the device is prestressed, the first-order and second-order natural frequencies of the device are 398.5 Hz and 403.94 Hz, respectively, which meet the requirements for on-line measurement of workpieces with rotational speeds in the range of 0-150rpm.
Research on Dynamic Response Time Test System and Method of Reactive Power Compensation Device
Authors: Zhou Yuan , Xin Tian , Wang Xin , Guo Fengcheng , Li Anmao , Liu Tong 
Published: June 2021

Abstract
In the actual enterprise production and inspection process, we found that there is a certain error in the dynamic response time detection method specified in the standard. For the fast response compensation device, the deviation is large, so it is urgent to study and improve the dynamic response test method. Especially for the dynamic reactive power compensation device with millisecond fast response, its input mode, the processing speed of the controller and the calculation method will affect the dynamic response time. In order to solve the shortcomings of the existing technology, this paper proposes a dynamic response time test system and method for reactive power compensation device. By introducing electronic load to generate periodic impulse current waveform, it can not only avoid the impact transient problem of inductive load, but also generate intermittent impulse current waveform, which is convenient to test the dynamic response time after switching off, which greatly improves the test accuracy. The simulation results show that the method can test the dynamic response time of tens of milliseconds more effectively and quickly.
A Region Merging Algorithm for Radar Net Power Range Display Fusing
Authors: Wang Liang , Ma Hailong , Wang Xiao , Qu Yanze , Mao Ming 
Published: June 2021

Abstract
Radar net power range display fusing is a common requirement of electronic warfare simulation. Though GDI+ and other third-party tools could be used to solve the problems of region merging effectively, there are still some defects like uncontrollable calculation process and results. To solve these problems, in this paper we proposed one region merging algorithm based on the polygon boolean operation principle. Firstly, we introduce four key steps of the algorithm: adjusting clockwise order, computing intersection, extracting the envelope and region merging. Secondly, the data structure of the algorithm is presented. Finally, to verify the algorithm validity, we use some radar network scenarios as samples and analyze the algorithm performance briefly. The results show that when the radar number is less than 50 and the drawing interval is bigger than 15 °, this algorithm can meet the demand of radar net power range display fusing in semi-real time and real time simulation.
The Data Sharing Platform System of Electrical Main Wiring Based on the Results of 3D Digital GIM
Authors: Qin Na , Tang Zheng , Wang Yuqiang 
Published: June 2021

Abstract
The main wiring design is the key to the design of the substation system. It is the process of establishing the logic model of the entire substation. Through the digital design of the main wiring, the whole process of digitization from equipment information to the logic model of the substation and even the layout model of the substation is realized. At the same time, it is a real digital handover Provide the basis. Aiming at the problems of automatic generation and verification, release and query, update and management of the main wiring diagram of the power grid, based on the relevant software of the PMS system, a design method of the integrated drawing management system combining C/S and B/S is presented. Realize the complete synchronization update of the electrical main wiring drawing of the dispatch centre. After the automatic generation and verification system of the main wiring diagram of the power grid was put into operation in the Guangdong Power Grid, it effectively improved the drawing speed, accuracy and standardization of the drawing.
The Mechanical Research of Vertical Screw Conveyor Particle Group Based on the Radial Change of Material Speed
Authors: Mei Lei , Cheng Chuang , Fan Ziqiang 
Published: June 2021

Abstract
This paper establishes a granular mechanics model for the stable movement of the material particle group in the vertical screw unloader with the granular mechanics, continuum mechanics and particle group theory and innovatively proposed the hypothesis that the speed of the material particle group changes radially in the spiral groove. Through the analysis of the material movement, the movement characteristic parameters of the material are determined. The study found that the material free surface type of the longitudinal section of the conveyor and its identification and solution methods and the pressure distribution law of the material particle group on the conveying pipe wall and spiral surface. In this paper, the granular mechanics, continuum mechanics and particle group theory are used to establish a granular mechanics model for the stable movement of the material particle group in the vertical screw unloader. We innovatively proposed the hypothesis that the speed of the material particle group changes radially in the spiral groove and determined the material movement characteristic parameters through the analysis of the material movement.
Radar Signal Classification Based on Bayesian Optimized Support-vector Machine
Authors: Liu Jialu , Zhang Huaidong , Si Binzhou 
Published: June 2021

Abstract
Radar uses the scattering of electromagnetic waves to identify target coordinates and provide detection information. It plays a vital role in modern production and military affairs. How to classify and recognize radar signals is one of the main problems in current researches. With the emergence of various new radars, the demand for high accuracy in radar classification technology is gradually increasing. Furthermore, traditional signal classification methods cannot achieve good results. Aiming at the problems of low accuracy and poor performance of traditional classification methods, this paper proposes a radar signal classification technology based on Bayesian Optimized Support Vector Machines. The principle of the method is analyzed, and simulation data sets verify the theory. Moreover, the proposed method was compared with the traditional SVM, and the accuracy is increased by 10.71%.
Design of Roller Seeder Based on Solidworks
Authors: Liu Qihong , Li Zhenhua , Li Caixia 
Published: June 2021

Abstract
The Dibbling machine is the core part of the seeder, which plays an important role in precision and semi-precision seeding. In this paper, the suction precision seeder has strict requirements on seeds. The high speed seeding adaptability of disc precision seeder is poor and the seeds need to be graded. Because of the limitation of the landform land parcel, these large equipment can not complete the seeding operation of the relatively complex land parcel such as the small parcel or even the hilly area. The seeder overcomes the shortcomings of suction precision seeder and disc precision seeder, it can realize precise seeding of seeds of different specifications. The design has the advantages of simple structure, stable work, easy operation and low cost. It can realize fixed distance seeding, which significantly improves the uniformity and efficiency and meets the requirements of practical application. Finally, SolidWorks 3D modeling software is used to carry out solid modeling design for each part of the parts and complete the overall assembly of the hand-pushed roller seeder.
Detection of Mispronunciation in Non-native Speech Using Acoustic Model and Convolutional Recurrent Neural Networks
Authors: Huang Yufei , Huang Yulin 
Published: June 2021

Abstract
Computer-Aided Language Learning (CALL) frameworks have gained much popularity because of their adaptability, enabling students to refine their language abilities at their own pace. Much research has been done to help improve CALL systems and dig out the more suitable features for targeted Mandarin mispronunciation detection is still an open research area. The acoustic model of convolutional recurrent neural networks (CRNN) (CNN + LSTM) + connectivity time series classification (CTC) model is used to convert acoustic signals into pinyin label sequences. As many Chinese speech data sets were trained using this model, the initial and vowel pronunciation error rates were finally obtained. Therefore, through linguistic classification, mainly four pronunciation errors related to the native Spanish pronunciation habits are further discovered. Moreover, based on the final analysis obtained, some corresponding instructive suggestions for further international Chinese teaching from different aspects are also put forward. Apart from proposing practical suggestions from different perspectives for further Mandarin CALL international teaching according to the experiment results’ evaluations, this system still has room for further improvement.
Fast Implementation of Genetic Algorithm Based on Software/Hardware Co-design Method
Authors: Zhou Wenqian 
Published: June 2021

Abstract
Genetic algorithm (GA) has been widely used since it was proposed. However, due to the complexity of the algorithm itself, the fact that the actual problems have huge data and scale, and that it needs to meet certain real-time requirements, the acceleration of genetic algorithm has become a hot spot in both academia and industry field. Previous work have been done on the acceleration of GA, which primarily focuses on the software aspect, while the existing work in hardware aspect lacks adaptability for different industrial scenarios. Therefore, this paper puts forward a novel architecture based on software/hardware co-design method, in which the software produces random numbers, and the hardware, taking full account of the characteristics of sequential circuit, is implemented in a hierarchical pipeline architecture. This architecture accelerates the algorithm while providing certain flexibility. This paper completes the simulation on MATLAB and Vivado, and the total running time is 987.4.u. Compared with the pure software implementation, the speed is increased by 73.9 times.
Research on Substation Project Prediction Method in Power Transmission and Transformation by Improved Neural Network Intelligent Model
Authors: Ma Li , He Lanfei , Zhang Xuefei , Wang Wei , Sun Liping , Zhou Li , Zhou Qiupeng , Ke Fangchao 
Published: June 2021

Abstract
On the basis of collecting a large number of practical engineering cases, this paper uses the improved neural network prediction model based on multiple linear regression to build an improved substation project cost prediction model based on the division of substation projects. Using the actual project sample data for empirical research, the results show that the prediction model has high accuracy for the prediction of substation engineering. This research work provides a reliable technical scheme for the cost prediction of power transmission project.
Study on Simulation and Optimization of Three-point Powertrain Mounting System
Authors: Wang Kaiyan , Liu Zhicong , Ren Xiaoxue 
Published: June 2021

Abstract
The characteristics of the three-point powertrain mounting system are studied by multi-body d6ynamics method. The 6-DOF model of the powertrain mounting system is established in ADAMS software. The natural frequency and the decoupling rate of modal energy are obtained through the simulation analysis. The 13-DOF model of the complete vehicle is established based on 6-DOF model, and the dynamic simulation analysis is carried out. The accuracy of the vehicle model is verified by comparing with the vehicle test data. The model is optimized by taking the stiffness and position parameters as the optimization variables, taking the transmission force and modal coupling rate as the optimization objectives. The decoupling rate of each mode is greatly improved, and the transmission force of the mounting system is effectively reduced after optimization.
Dynamic analysis on the drag sail device of micro-satellite during the deploying process
Authors: Yao Qi , Li Yuanyuan , Ren Yafei , Yang Dongsheng , Miao Lilei , Zhou Xiaolei 
Published: June 2021

Abstract
In order to satisfy the requirements of the drag sail for the future micro-satellite, the drag sail device and the dynamic research of the process are carried out. A mathematical model is established, and the static and dynamic performance of the deployable mechanism are analyzed at different temperature. The results show that there is enough moment for deployable mechanism to start the deployment at the temperature range of -70 to 100 °C, and there is enough starting torque to realize the deployment of the sail, the acceleration reaches 1905 rad/s2 at the moment of deployment, and the angular velocity tends to be stable at 0.4s. In addition, the reverse resistance of the damper becomes the key to restrict the deployment in the process of deploymen. In order to ensure the smooth deployment of deployable mechanism, the reverse moment of it in deployed process should be less than the deployed bending moment of the boom. This study provides a theoretical basis for the design of the deployable mechanism of the drag sail device.
Study on the Thermal, Electrical Conductivity and Welding Properties of Aluminium Alloy Bumper
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu 
Published: June 2021

Abstract
The production process of aluminum alloy bumper is: extrusion → straightening, cutting → solid solution, artificial aging → bending → welding. The main processes involved are extrusion process, heat treatment process and welding process. In this paper, according to the different functions of the aluminum alloy bumper components, different production materials are selected, and the extrusion process, heat treatment process and welding process of the reinforced beam and energy absorption box are studied respectively.
Research on Construction Technology of External Hanging Scaffold for Prefabricated Concrete Shear Wall
Authors: Huo Tingting , Ye Chong , Zhang Xiaofeng 
Published: June 2021

Abstract
Combined with an instance of a high-rise residential project in Sino-French Wuhan Ecological Demonstration city, the structural characteristics, construction key technology and disassembly process of the auxiliary external rack of the prefabricated high-rise structure are emphatically analyzed. It is safe and reliable to use the external hanging scaffold structure in the prefabricated high-rise building, which can effectively shorten the construction period and has a beautiful appearance. and also obtains good economic and social benefits, which provides Suggestions and references for the similar prefabricated building construction in the future.
Fault diagnosis of spraying workshop based on BP neural network
Authors: Zhou Kai , Zhang Jingtao , Qi Xing , Xu Wenlong , Long Xiaojun 
Published: June 2021

Abstract
In this paper, for the failure of spraying workshop door switch, exhaust fan failure and other faults in the spraying workshop, a fault diagnosis algorithm based on the BP (Back Propagation) neural network is proposed to solve the fault diagnosis problem in the spraying workshop. First, the sensor network of the spraying workshop was built. Multi-source sensors were used to realize the dynamic perception of the on-site environment and equipment status. Through the preprocessing of multi-source heterogeneous data, a unified data template and interface were established. Secondly, the BP neural network algorithm is used to simulate and diagnose the possible faults in the spraying process. Finally, MATLAB test simulation proves its high accuracy of fault diagnosis.
Study on the Deep Processing of Extrusion Modification and Gelatinization Degree of Millet Powder
Authors: Wang Zixuan , Gao Tingting , Liu Jingxue , Li Fenglin , Zhang Yong , Xie Tian 
Published: June 2021

Abstract
This paper takes millet powder as the test object, adopts extrusion modification treatment, optimizes the technological parameters of the modification by single factor and response interview. The results show that the best technological parameters of the modified rice powder are: the water content is 22%, the extrusion temperature is 140 °C, the particle size of millet powder is 142 μm and the screw speed is 20Hz. Under this condition, the gelatinization degree of millet flour was 93.2%. The factors influencing the paste degree of millet powder were: water addition > extrusion temperature > grain size of millet powder > screw speed. This paper aims to provide reference for developing healthy food of cereal powder and provide basis for the deep processing and utilization of millet powder.
Design and Mathematical Simulation of Portable Radiofrequency Heating Device by Long-Term Mild-Hyperthermia
Authors: Zhu Qing , Shen Yuanyuan , Wang Shuang , Lu Yao , Lin Dingyu , Ke Huqi 
Published: June 2021

Abstract
In the present day, cancer remains one of the main cause of death, normal therapeutic treatment for superficial cancer enhance the life of patient. However it lows the quality of patient life. A novel design of portal radiofrequency heating device is present to inhibit the growth of tumor. The results numerical simulation of heat transfer in tumor by RF heating device show that heat generated by heating device is powerful enough to suppress tumor, however large vessel and fat in tissue will play an important role in the treatment effect.
Application of Embedded Web Server in the Design of Ship Network Monitoring System
Authors: Huang Xiang 
Published: June 2021

Abstract
The frequent cross-ship communication has raised the complexity of ship network, therefore raised the requirements of monitoring system on the complicated local network on board. The traditional monitoring system is expensive and can hardly monitor cross-OS local network. Aimed at the specifications of ship network, this paper puts forward using embedded web server to design monitoring system. Through designing monitoring layer with LibPcap, designing application layer with CGI and designing user layer with JavaScript and REST, this paper finish the complete monitoring system and high improves the performance on latency and threat identification success rate.
The Research Hotspots and Visualization Analysis Technology of Health Big Data
Authors: Huang Weizhang , Gong Hanxiang , Yang Yajun 
Published: June 2021

Abstract
By understanding the international research hotspots in this field, we hope to provide reference information for health big data researchers to grasp the research hotspots and frontiers. By searching the relevant literature in the field of international health big data research in the Web of Science database, using the method of bibliometrics to draw a visual map. Results A total of 3850 articles were retrieved. Since 2013, the number of health big data research papers has shown a rapid growth. Harvard Medical School, University of Michigan and Stanford University are the research institutions with the largest number of papers in this field. The United States is the most active in the field of big data research, with 1506 papers, far higher than other countries, followed by China, the United Kingdom and South Korea. International health big data research hotspots include research on Intelligent wearable devices, design and development of health big data monitoring system, and application of health big data in precision medicine. The research reveals the characteristics and hotspots of international health big data research field, and provides some references for the development direction of this field in China.
The Construction of Language Laboratory Based on VOI Technology
Authors: Shi Xiaoqin 
Published: June 2021

Abstract
VOI (Virtual Operating System Infrastructure), a cloud desktop technology, is popular in educational area recently, especially in colleges, because of its many advantages. It widely used in the laboratory which main equipment are computers, such as computer rooms and language laboratory. Language lab equipped computers acts as an important actor for language teaching in many colleges. Constructing a laboratory with high ratio of quality and value is the focus of many laboratory researchers. The study explores the requirement of teaching and learning for labs, surveys market and several other colleges, and designs how to construct NWAFU language labs based on VOI, compared with other prevalent technologies on market, from requirement, cost, deployment and management aspects. The study provides a reference for other type laboratory’s construction and gives some suggestions to a decision maker.