bluuebunny/crossref_metadata_2025 huggingface dataset:
A Research of Vespa Mandarinia through Visualization Technology and Convolution Neural Network
Authors: Duan Jionghui , Cheng Junwei , Cheng Yitai
Published: June 2021

After being discovered in September 2019, Vespa mandarinia, a fierce alien invader, quickly got public’s attention. The inhabitants of Washington State flooded to report the suspected cases around them. However, most of them were proved to be false information. How to interpret the provided data and determine the priority of dealing with the problem is of vital importance. Based on this situation, this paper develops a model that robustly and accurately predicts the spread of Vespa mandarinia and the facticity of provided reports. By adopting the idea of mining common behavior patterns, this paper took full use of other wasps’ data to make up for our lacking data on Vespa mandarinia. Though few samples of Vespa mandarinia been provided, this paper took complete utilizing of other data. To evaluate our external model, this paper gave 2019 data of the Vespa mandarinia to propagate then the prediction of 2020 turned to be perfectly accurate. After this, this paper combined the image, location and time information together to predict the sample. This paper got 87.6% accuracy on positive samples and 98.7% accuracy on negative samples. The calculated renewal frequency was proved to be fit for Vespa madarinia’s actual living habits. And the MSE of our enhanced Logistic function was 10–4, which can simulate the growth of Vespa mandarinia well and also taken human eradication into consideration.
Research on Vision Perception Technology of Auto Fueling Robot on opencv-based gas tank cap recognition
Authors: Guo Li , Liu Kun , Zhang Liuli , Zhang Yuyi , Tian Yuqi , Zhang Jindong
Published: June 2021

Designing a suitable algorithm to recognize the fuel tank cap and perform automatic refueling by manipulating a robotic arm. In exploring a new recognition algorithm for automatic vehicle refueling technology, for motor vehicle fuel tank lid, through the difference of images taken by binocular camera, combined with the basic calculation principles such as the imaging principle of binocular camera and the conversion relationship between coordinate systems, the recognition of ROI area is carried out automatically, then a closed-loop system is formed for real-time tracking, and finally the accurate positioning of fuel tank lid position is completed. The matching recognition and tracking technology of the target combines the comprehensive discipline research of mathematical analysis, image processing, object kinematics, artificial intelligence, automation control and other related fields, and has a very important status and research value in military aerospace, industrial production, intelligent medical care, security monitoring, intelligent driving, human-computer interaction and other fields.
A review of commercial vehicle cab NVH research
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu
Published: June 2021

With the development of social economy, people’s demands for vehicle functions are constantly changing. The comfort, intelligence, electric and energy saving of vehicles have gradually become the core technology of modern vehicle design. NVH (Noise Vibration Harness, NVH) performance, as the core index of driving comfort, is gradually paid attention to by automobile design manufacturers and users. How to reduce the interior noise and improve the interior sound quality has always been the focus of research in the field of vehicle NVH. This paper summarizes the research status of commercial vehicle NVH.
Research on Autonomous Grasping of Target Based on Machine Vision
Authors: Lu Chengya , Zeng Haisen , Xiong Yongchuan , Lang Wenjiang , Wang Kaiping
Published: June 2021

In order to improve the work efficiency and performance of the robotic arm in the product sorting process, a robot autonomous grasping control method based on visual recognition feedback control is proposed. Aiming at the limitations of traditional robot teaching control or grasping object recognition based on a single feature, an improved template matching target identification method based on contour Hu moment feature for contour matching combined with color and shape features is proposed. Through carrying out autonomous grasping experiments and analysis, the experimental results show that the visual recognition feedback control method effectively improves the accuracy of robot grasping.
Systematic Research on the Heat Dissipation Channel of High Power LED Street Lamps
Authors: Wang Zhao , Bao Qijun , Li Yuefeng , Zou Jun , Zheng Hao , Yang Jiexiang , Su Xiaofeng , Wang Wei
Published: June 2021

This article mainly studies the thermal characteristics of light source of the street lamp, and systematically analyzes the effective ways of heat transfer and heat dissipation of street lamp. Based on experiments and finite element simulations, the heat dissipation channels of street lights were studied, and the weak links of heat transfer and heat dissipation were analyzed, and the heat dissipation structure of street lamp was optimized. The experimental results show that the junction temperature of the chip is lower than 90 °C in the steady state, and the luminous efficiency decreases by 5.93%. In order to ensure the efficiency and reliability of the street lamp, it is recommended that the junction temperature of the street lamp be controlled below 85 °C. After analyzing the arrangement of the chips, silicone grease with different thermal conductivity and aluminum substrate, it is found that the substrate is the bottleneck affecting effective heat transfer, and the use of diamond like carbon metal core printed circuit board (DLC-MCPCB) can reduce the junction temperature by 17.04 °C. Through the grid design of shell of the street lamp, the heat dissipation effect of the street lamp surface can be enhanced, and the junction temperature can be reduced by 7.04 °C. Based on these studies, the optimal design model of street lamp was obtained, which provides guidance for practical applications.
Classification and Recognition of P300 Event Related Potential Based on Convolutional Neural Network
Authors: Ma Mingjie , Feng Shuting
Published: June 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Research on Artificial Intelligence Robots and Simulation Software in Virtual Training Pendant
Authors: Xiao Gengyi
Published: June 2021

Under the background of artificial intelligence education, the application of RobotArt industrial robot simulation software in university teaching can make teaching “low carbon”, which not only saves training equipment, effectively reduces teaching costs, and greatly improves the learning efficiency of industrial robot programming. The thesis combines virtual simulation technology and practical operation in the training workshop to quickly improve the teaching effect, reduce the hidden safety hazards in the training process, and enable students to quickly grasp the key points of teaching, and at the same time, it can also reduce the teaching difficulty and work of the training teachers.
Statistical Characteristics of the Application of English Human-Computer Interaction Mathematical Algorithm in Online Courses
Authors: Luo Yang
Published: June 2021

In recent years, with the rapid advancement of multi-mode teaching theory, this paper adopts an interactive large classroom method and derives from the interaction of mathematics. In combination with online course optimization, the performance is improved through the use of a multi-mode system and the use of interactivity The principle and empirical formula, and finally through the comparative analysis of mathematical statistics, proved that the human-computer interaction mathematical algorithm has a significant effect, “problem English human-computer interaction mathematical algorithm plays an active role in online courses.
Research on the Characteristics of College Students’ Physical Fitness Database in Mathematical Statistics
Authors: Ji Lei , Dai Donghui , Sun Rui , Sun Weidong , Yu Tianbo
Published: June 2021

With the rapid advancement of database theory, this paper uses mathematical algorithm modeling methods, and derives the mathematical XXX derivation. In combination with Android system optimization, the performance is improved through the use of Java language and MySQL database, and XXX empirical formulas are used. Finally, after AP ’ s continuous dynamic interactive communication and tracking statistical comparative analysis, it proves that the physical fitness database algorithm has significant effects. It shows that the real-time health information and exercise effect of the college student’s physical fitness database can help college students develop long-term exercise habits and health. Plays a positive role.
Research on Location Selection of Pre-warehouses Based on Extended CFLP Model
Authors: Li Cong , Wei Zhenlin
Published: June 2021

The warehousing logistics mode of “pre-warehouse plus terminal distribution” is a decentralized resource allocation scheme around the logistics industry at the end of distribution, supporting the development of New Retail, a data-driven extensive retail form centered on consumer experience. Firstly, taking the stand-alone pre-warehouse as the research object, this paper analyzed the distribution characteristics of new retail fresh goods, the consumption structure of demand and the functional characteristics of the pre-warehouse. Secondly, the extended CFLP (Capacitated Facility Location Problem) model was established with processing fee, freshness loss, time penalty and warehouse service capacity. In addition, the one-to-one distribution relationship between demand point and storage facilities in the traditional CFLP model was changed to many-to-many in order to improve the overall facility utilization. Finally, an improved coding genetic algorithm was adopted to solve the nonlinear mixed 0-1 programming model. Therefore, location, matching and distribution volume were showed at the same time. The results of the example demonstrated that the model gave priority to meet the timeliness and fully utilized the facility capacity.
Clustering framework based on multi-scale analysis of traffic flow time series
Authors: Li Ruifang , Yu Jin
Published: June 2021

Clustering analysis of traffic flow time series can improve the accuracy of traffic flow prediction, which is the basis of traffic planning. The correlations between traffic flow series imply that there are some potential patterns of traffic flow movements. In this work, a clustering framework based on multi-scale analysis of traffic flow time series is proposed to seek these potential patterns. The framework includes the selection of the optimum algorithm, the construction of quantitative indicators to evaluate the clustering effect, and the visual inspection. The experimental results of 24-hour long-term traffic flow time series clustering on large-scale road network in Shenzhen indicate that the model can clearly distinguish different classes of traffic flow time series.
Research on Force Analysis and Path Planning of Flexible Needle Puncture Bending Modelling
Authors: Fan Xiaolei , Yun Jintian , Guo Sai
Published: June 2021

Through the force analysis of the flexible needle puncture process, the corresponding mechanical model is established, and the main factors that cause the flexible needle bending deformation are analysed, and the bending model of the flexible needle puncture process is initially established. By discretizing the bending model, combined with experimental verification, a relatively complete bending model is obtained. Based on the RRT algorithm, the goal guidance algorithm, the optimal path selection algorithm, etc. are proposed, combined with the bending model of the flexible needle, and an improved RRT algorithm suitable for the flexible needle insertion method is established. Through simulation analysis and combined with experimental verification, it is concluded that path planning based on the improved RRT algorithm can bypass important human organs and soft tissues more flexibly, accurately puncture the target position, and achieve relatively safe surgery.
A V2G scheduling strategy based on the fruit fly optimization algorithm
Authors: Han Muyao
Published: June 2021

As electric vehicles enter people’s lives in large numbers, their behavior of disorderly charging and discharging will have a seriously negative impact on the safety and economic operation of the power system. This study proposes an electric vehicle charging and discharging load model under the constraint of joint benefits on the both power supply and demand sides. In this model, we set the minimum variance of grid load peak-to-valley values and the maximum benefit for users as the objective function, and take into account the randomness of electric vehicle starting charging time and duration as well as the grid capacity limitation. The main innovation point is that based on the fruit fly optimization algorithm, it proposes an intelligent orderly charging and discharging strategy with vehicle-to-grid (V2G). Following this, we compare several common charging models for electric vehicles with simulations, and conclude that the proposed optimization model can best reduce the target of peak-to-valley difference in grid load and also charging and discharging costs, thus demonstrating the feasibility and effectiveness of the model and strategy.
Research on Distribution Line Based on Satisfaction and Optimal Algorithm
Authors: Ding Yujiao , Chang Xiangquan , Jiang Baoliang
Published: June 2021

Logistics enterprises attach great importance to customer satisfaction. This paper focuses on customer satisfaction, and innovatively designs the measurement formula of customer satisfaction, which provides a theoretical basis for the construction of the model. In addition, a multi-objective planning distribution route optimization model with fuzzy time window is constructed to further seek the minimum transportation cost and maximum satisfaction. The improved particle swarm optimization algorithm is used to obtain the optimal solution on MATLAB 2018A software. By comparing the original path with the optimal path, the applicability and effectiveness of the model under the condition of customer satisfaction are verified, which provides some reference value for the improvement of other enterprises.
Study of Bearing Model on the Internal Forces of the Wide Bearing Continuous Beam
Authors: Wei Yulu , Shu Xiaoxiao
Published: June 2021

The standingpile has been applied quite extensive in our country, which is one of the three major structure forms of the quay. Take the internal force calculation of wharf track beam in Jiangsu Taizhou for example, this paper studied the bar system finite element method processing method of rigid support and elastic support. Using different bearing support mode to calculate the track beam internal force, the results show that the corresponding internal force of different models has big differences. The negative bending moment and shear force of point support model are large. The effect of support width and elastic support was considered in the continuous beam model of elastic distribution supporting and should be considered prior to other supporting. In the process of similar design, the bearing width can be increased. This is conducive to the uniform distribution of internal force, and make the structure more reasonable.
Research on concrete slump based on discrete element method
Authors: Su Chang , Zheng Xiaokui , Xiong Lei , Zhao Wukun
Published: June 2021

The whole process of concrete slump experiment was simulated with Particle Flow Code 3 Dimensions (PFC3D) software based on discrete element simulation. The simulation results are in good agreement with the macroscopic results obtained from field experiments, indicating that the use of PFC software for concrete had the feasibility of slump experiment simulation. The software simulation results have a good observation on the speed and direction of the particles in the process of concrete slump.
Analysis on the influencing factors of multiple indicators in the United States based on multiple linear regression model
Authors: Bu Jiahui , Tian Yixuan , Zong Yifan
Published: June 2021

The US election will have a certain impact on the US economy. In this paper, different index systems are established to analyze the influence of different factors and American economy. After establishing the index system, this paper will use machine learning regression algorithm to fit the data in recent decades. We choose a variety of models, including ordinary linear regression model, Bayesian ridge regression model, elastic network regression model, support vector machine regression model and gradient enhanced regression model. In this paper, a prediction model based on machine learning is established without considering the epidemic situation. First of all, preprocess the data; secondly, determine the index system; then, based on the regression algorithm of machine learning, compare and select the optimal model for data fitting and prediction; finally, use linear regression to predict the indicators of the next four years.
Research on Grammar Checking System Using Computer Big Data and Convolutional Neural Network Constructing Classification Model
Authors: Sun Fang , Zhang Jing
Published: June 2021

This article proposes an automatic grammatical correction method for typos and word order errors that may occur in Chinese writing by beginners. The thesis first constructs heuristic rules and expands the corpus by analyzing the characteristics of different grammatical error types in the data set. Secondly, when the paper uses classification methods to detect grammatical errors, it extracts sentence-level binary and ternary part-of-speech combinations, n-gram models based on part-of-speech statistics and other three types of features to construct single classification and ensemble classification models, and then use convolutional neural the network constructs classification models from different angles. Finally, when the paper adopts the method based on sequence labeling for grammatical error detection, it mainly uses dependency syntax tree features, and realizes grammatical error detection by constructing a conditional random field model. This method can automatically detect grammatical errors while also identifying the sentence the location of the error. On this basis, the paper implements a simple Chinese grammatical error automatic detection system, which can provide help for the optimization of questions and answers in the question-and-answer system
Research on Taxi Operation Characteristics by Improved DBSCAN Density Clustering Algorithm and K-means Clustering Algorithm
Authors: Jian Saisai , Li Dongyi , Yu Yaqi
Published: June 2021

With the development of urbanization, the problem of urban traffic congestion is becoming more and more serious. An improved k-means clustering algorithm was proposed to solve the problem that the traditional k-means clustering center could easily be affected by the clustering center and fall into the local optimal solution. Based on the big data of New York City taxis, the operational characteristics are analyzed. The experimental results show that the improved K-means clustering algorithm has a better clustering analysis effect in terms of hot demand for taxis.
Analysis and construction of a parabolic rotor profile for Roots vacuum pumps
Authors: Li Zhengqing , Yang Shengsheng , Wang Xiaojun , Yuan Yafei
Published: June 2021

Rotor profile is a critical factor affecting the performance of Roots vacuum pumps. Hence, research on rotor profiles of Roots vacuum pumps is important. The rotor profiles are mainly composed of arcs, involutes, cycloids, epicycloid, and combined curves. Moreover, the two rotor profiles form a pair of conjugate curves. To obtain a parabolic rotor profile, transformations of three coordinate systems are established to derive equations and analyze the parabolic curve and its conjugate curve. Additionally, the parameters of the parabolic rotor profile are discussed to determine their ranges and the relationship between the performance of a parabolic rotor profile and the independent parameters. The results indicate that the area efficiency of the parabolic rotor profile is greater than the area efficiency of the arc rotor profile for the same ratio of the top circle radius to pitch circle radius.
Research on Prediction Accuracy of Mathematical Modeling Based on Big Data Prediction Model
Authors: Guo Rui
Published: June 2021

At present, people’s food demand in the late stage of the new coronavirus is affected by many aspects and various factors, and the current prediction method is affected by redundant data, which leads to poor accuracy of the prediction results. In addition, in order to prevent the mismatch between food supply and demand in the event of major health events, the prediction model was selected in the big data environment and the prediction accuracy of the mathematical model was studied. Through the improvement of various prediction models and the comparison of prediction accuracy, it is found that the improved grey Verhulst has higher accuracy and is more suitable for short-term prediction.
Analysis of Regional Differences in Technological Innovation Based on Principal Component Distance Weighting Algorithm and FCM Algorithm
Authors: Yue Mingrui
Published: June 2021

In this paper, first of all, the optimal FCM algorithm was used to classify the economic development level of each sub-region. Secondly, the principal component analysis method was employed to comprehensively score and rank the economic development level of each sub-region. Thirdly, based on the classification and ranking, the differences in regional economic development were analyzed. Taking the economic disparities of western provinces as an example, the research showed that this algorithm could effectively comprehensively analyze the economic development disparities of western provinces and well reflect the characteristics of economic development of each province. Therefore, it was an improved and feasible method for analyzing the differences in economic development level of sub-regions within a large region.
Spatiotemporal distribution analysis of Vespa Mandarinia based on GM model
Authors: Dai Yutong , Wang Hanjing , Yang Yuer
Published: June 2021

As a natural enemy of the European honeybee, the Chinese great steller’s wasp can have a serious impact on local bee populations, so they are considered an agricultural pest. After the emergence of these pests, countries must decide how to prioritize their limited resources for follow-up investigations. In this paper, a model was established to predict the emergence of wild silkworm, which could be used to provide strong support for pest management. when predicting how pests spread over time, we built a GM model to predict the spread of Vespa mandarinia from the spatial and temporal distribution. When predicting the geographic location of Vespa mandarinia, we set up a two-dimensional GM model using longitude and latitude as two variables to predict the longitude and latitude of the next Vespa mandarinia. At the same time, when predicting the occurrence time of Vespa mandarinia, we formed a sequence of the annual 12-month report times of previous years, and still used GM model for data processing and prediction.
Research on the Application of Physical Properties of Optoelectronic Films in Passive Devices for Optical Communications
Authors: Lu Jing
Published: June 2021

Thin films play an important role in modern science and technology. With the development of optical fibre communication technology and laser technology, thin films are used more and more widely in this field. The application of optical film in optical communication and laser technology is introduced systematically. The application of optical films in optical communications basically covers a variety of conventional optical films. Based on this research background, the paper mainly analyses the optical and physical properties of zinc oxide nano-films and discusses its application in optical communication.
Analysis and prediction of China’s future pension industry based on fitting algorithm and BP neural network
Authors: Wu Lijie , Cao Yuhan , Zhang Zixi
Published: June 2021

In this paper, we analyze and forecast China’s future pension industry. We first use the fitting algorithm to predict the number of elderly population in the future. Then BP neural network is used to predict the willingness of the elderly at all levels to stay in pension institutions, and then the market demand scale of the number of elderly service beds in China in the future is obtained. Finally, we get that in 2023, the demand for elderly care beds in China is expected to reach 16.7 million, and urban beds will dominate, accounting for 86.83% of all beds.