bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Enterprise Trust Relationship of Jilin Province Agricultural Products Supply Chain Based on Big Data Blockchain Logistics
Authors: Yang Jisheng , Wang Haiwen , Li Zhenzhen , Chen Haonan 
Published: April 2021

Abstract
Relationship and trust are essential factors to aggregate the agricultural product supply chain’s central bodies and maintain the agricultural product supply chain’s dynamic flexibility. Especially for the agricultural product supply chain dominated by e-commerce with many atomic farmers, relationships and trust are even more critical. The basic premise to ensure its effective operation. Big data blockchain has high security, distributed storage, publicity mechanism, anonymity, openness, transparency, etc. It is of great significance to apply it to the supply chain of agricultural products. Based on the analysis of the significant data blockchain logistics and the relationship between big data and the supply chain, this article discusses the construction and coordinated decision-making of the big data-based supply chain of agricultural products in Jilin Province provides references for relevant personnel.
Research on Injury of Different Percentile Dummies Based on Vehicle Angle Collision
Authors: Wu Yongqiang , Meng Lingxu , Yan Deyou 
Published: April 2021

Abstract
Angle collision has a high incidence in traffic accidents, but there are few researches on angle collision in the field of automotive safety. The 50th dummy is the main protection object in vehicle safety design, and the 5th dummy and 95th dummy are not paid enough attention. In this paper, based on the 18 ° sled collision platform of interior fittings, the injury characteristics of 5th dummy, 50th dummy and 95th dummy under the condition of angle collision are studied. The results show that the 5th dummy’s chest injury index is the largest; the 50th dummy’s pelvis and right thigh force injury index is the largest; the 95th dummy’s left thigh force injury index is the largest; which indicate that different percentile dummies are injured in different degrees in the 18 ° angle collision. Based on the test results, it is also suggested that the chest, thigh and other injury of the dummy should be appropriately considered in the evaluation of the interior fittings test
Mechanical simulation optimization of RTG prototype
Authors: Wu Chunyu , Liu Yang , Yang Shuaifei , Li Yang , Wang Shuyang , Gao Ke , Liu Shichao , Jin Yang 
Published: April 2021

Abstract
The thermocouple energy converter in the radioisotope thermoelectric genera tor (RTG) requires a long time work under high temperature and large temperature diff erence, and needs to withstand the harsh service conditions of heat, force, electricity an d other external fields during the launch process. In order to understand the dynamic p urchase response and dynamic strain of various parts of the structure when the thermoe lectric module is under dynamic load under different conditions, this paper uses softwa re to simulate the vibration and shock scenarios of the thermoelectric module in the RT G prototype. According to the existing conditions, a three-direction impact spectrum a nalysis was carried out. It was found that in the three-direction random vibration, from the root mean square stress result, the risk of damage is small; while during the impac t, the shell and the thermoelectric The displacement in the in-plane direction between t he module furnishing surfaces will cause the thermoelectric material in the thermoelect ric module to produce a large shear stress, which will cause the risk of shear damage to the structure. The imitation result provides a reference for the further optimization des ign of RTG prototype.
Design of Testing Device for Mechanical Property Testing System of Tai Lake Shield
Authors: Weng Yunxian , Zhao Yaping , Ni Xuewen 
Published: April 2021

AbstractAccording to the requirements of testing the mechanical properties of water s hield from Tai Lake the corresponding testing system was designed by adopting the id ea of open structure. The test system includes the detection device, the upper computer operation unit and the connected control unit. The testing device adopts a vertical fram e suitable for testing materials in water, USES a stepper motor to drive the lead screw t o achieve the basic tensile movement, and can achieve other testing functions through the addition of shear, friction and other expansion modules. The upper computer USES Kingview7.5 to develop the test interface corresponding to each test function, which c an carry out manual debugging and automatic test operations, and input the measurem ent data and process parameters into the MySQL database to provide real-time display and historical query functions. The main controller is realized by Arduino Mega2560 c ircuit board, which communicates with the HX711 conversion module through the sin gle bus protocol to collect the stress data of materials. By monitoring the running proc ess of stepping motor, the material deformation data is calculated. Through communic ation with Modbus RTU protocol of upper computer, operation command and test data transmission are realized.
Overview of Obstacle Avoidance Algorithms for UAV Environment Awareness
Authors: Zuo Kuijun , Cheng Xuan , Zhang Heng 
Published: April 2021

Abstract
In complex indoor and outdoor environment, obstacle avoidance of UAV (Unmanned Aerial Vehicles) is a challenging problem. In order to realize the obstacle detection, autonomous positioning and trajectory planning of UAV flight mission in large outdoor scene, there are three main technical problems: Firstly, UAV needs to have the ability to quickly detect a variety of obstacles in outdoor scene. Secondly, in order to realize the autonomous navigation of UAV, it needs to establish the coordinates of obstacles in three-dimensional space. Thirdly, based on the above two conditions, UAV can independently plan flight path to avoid obstacles. This paper mainly introduces the use of RGB-D camera, lidar, monocular camera and binocular camera in UAV obstacle avoidance, and compares them from the sensor types, advantages disadvantages and application range. Secondly, the path planning strategy of UAV is discussed, and the existing problems and current research results of UAV trajectory planning strategy are described. Finally, it is pointed out that real-time computing, multi-sensor fusion and integrated obstacle avoidance between multi aircraft should be the research direction of autonomous obstacle avoidance navigation for UAV in the future.
A gravitational search algorithm based on levy flight
Authors: Zhao Jing , Zhu Haidong , Hu Yinhua , Hu Enjun , Huang Baole , Zhang Tingyu , Zhang Pan 
Published: April 2021

Abstract
A gravitational search algorithm based on levy flight is proposed to solve the problem that the gravitational search algorithm falls into the local optimal solution. Firstly, the dynamic adjustment strategy of gravitational constant is introduced to increase the diversity of particles and improve the convergence speed and accuracy of the algorithm. Then, on the basis of gravitation search algorithm, levy flight is introduced, and the particle search range is increased by using levy flight search mode combining small step and long stride search, so as to improve the global search capability of the algorithm. Finally, six standard test functions are used for simulation analysis. The results show that the improved algorithm has obvious advantages in both convergence speed and convergence precision, and it is more advantageous in multi-peak function optimization.
A Positioning System on Robot for Agricultural Environment
Authors: Bi Xiaoming , Tang Wenjie , Gao Zihang 
Published: April 2021

Abstract
Focus on the complex environment in the wild, we designed a positioning system for agricultural environment. This system has multiple parts such as SLAM robot, remote console, mobile monitoring terminal, cloud monitoring platform, which fully fulfills the requirements of the dynamic positioning system. The system takes into account the characteristics of wide positioning range and large coverage area of the SLAM robot, which can greatly reduce the positioning complexity of the system and reduce the required positioning equipment, while reducing operating costs and increasing the coverage area.
RETRACTED: Research on Short Video Photography Technology Under the Integration of Computer Editing in The New Media Era
Authors: Qiang Fu 
Published: April 2021

Abstract
with the development of new media technology and the popularity of mobile devices, the short video platform has become one of the standing applications in the public’s mobile phones, and the short video tool has added a new color to the development of video shooting technology while enriching the spiritual and cultural life of the public. In the era of new media convergence, short video shooting technology has become an indispensable part of video shooting, in view of this, this paper mainly focuses on the analysis and research of short video photography technology under the integration of computer editing in the new media era.
Remote Sensing Image Zero Watermarking Algorithm Based on DFT
Authors: Jing Liang , Sun Zhentao , Chen Kexin , Wen Xue , Cheng Xinyi 
Published: April 2021

Abstract
This paper proposes a remote sensing image zero-watermark algorithm based on DFT, which can be used to protect the rights and interests of digital image copyright owners. First, the high frequency part after DCT transformation is binarized to obtain the characteristic image. Second, block DFT processing the host image. The high frequency part after DFT and the characteristic image are XORed to complete the watermark embedding. In order to test the performance of the watermark, an attack was carried out on the image embedded with the watermark. In order to extract the watermark from the attacked image, the high-frequency part of the data extracted from the attacked image is XORed again with the result of the first XOR. Compare the extracted watermark with the embedded watermark, and calculate its NC value. Most of the NC values are close to 1, indicating that the algorithm is robust. In addition, the PSNR values of the attacked image and the original image are also calculated. The experimental results show that the watermark obtained by the algorithm in this paper has strong invisibility and robustness.
Research on the Application of Computer Network Technology in the Training of Talents in Vocational Education
Authors: Deng Lin 
Published: April 2021

Abstract
With the continuous deepening of education reform, the processing and analysis of teaching information in higher vocational colleges is increasing. Traditional teaching management methods can no longer meet the needs of higher vocational colleges. Computer technology is more suitable for the needs of education reform, and the modern development of teaching management with computer technology as the core promotes the comprehensive level of teaching management in higher vocational colleges. This article analyzes the impact of computer technology on the training of talents in higher vocational education; the current situation of talent training in higher vocational education at this stage, and discusses how to innovate and reform the talent training model in higher vocational colleges under the background of computer technology.
Research on the application of crawler technology in machine learning
Authors: Zhang Lei , Chen Zening , Yang Shufeng 
Published: April 2021

Abstract
With the rapid development of the Internet, the world wide web has become the carrier of a large number of information, and the search engine has entered the public life. In order to help search engines capture related web resources, web crawlers emerge as the times require. Web crawler is a program that automatically extracts web pages. Some malicious web crawlers will not only steal the information of the website, but also cause irreparable damage to the website. Along with it, anti-crawler, the enemy of web crawler, comes into our life. This paper studies the use of machine learning for crawler recognition, so as to make a better anti crawler strategy, use machine recognition instead of manual recognition, reduce the workload of manual recognition of crawler, reduce the loss of human and material resources, and improve the recognition rate of crawler, so as to protect the website information and website equipment.
A recommendation method of teaching resources based on similarity and ALS
Authors: Geng Chuanwei , Zhang Jian , Guan Lianzheng 
Published: April 2021

Abstract
This paper provides a collaborative filtering recommendation algorithm based on the combination of item similarity and alternating least square collaborative filtering based on the Spark platform. This is a recommended method to improve the efficiency of prediction calculations and reduce system response time. In order to solve the problem of model inaccuracy caused by the sparse data of the existing collaborative filtering recommendation scheme, which leads to the inaccuracy of recommending suitable online education and teaching resources to different users, the present invention uses the least squares collaborative filtering recommendation algorithm on the Spark big data analysis platform Optimize and use, and then use parallel methods to increase the amount of work completed per unit time and the accuracy of recommendations, and solve the problem of inaccurate recommendation of teaching resources.
Making Sales Strategies Based on the Existing Shopping Reviews
Authors: Shi Jingcheng , Yang Yan , Qiu Shi 
Published: April 2021

Abstract
With the popularization of mobile Internet technology, people are increasingly inclined to choose to use the internet to purchase products. Consumers’ evaluation of products after online shopping will directly affect the future sales of the products, so many online shopping platforms are committed to the research of intelligent evaluation and analysis models, so as to improve their sales strategies in a timely manner. We take the evaluation of three kinds of goods on Amazon as the research object. The platform allows purchasers to give star-rating and text-based review of products, and also lets them vote for the helpfulness of the former reviews. Therefore, we need to figure out the relation between these factors. We construct an innovative Maximum-Relation-Minimum-Redundancy Feature Selecting Model to analyze how the text-based measures and ratings-based measures affect the reviews, especially on some occacsions at whichthe review has significant positive changes. We also discuss the connection between the specific quality descriptions of text-based reviews and the level of star-ratings. We use an innovative model, Bi-LSTM model to calculate the rate of different emotions contained in the review texts. Then we can find out a remarkably high correlation between certain descriptors and the star-ratings. This paper puts forward an intelligent and constructive scheme for e-commerce platform to adjust its own sales strategy based on customer’s reviews on products.
Research on Precise Demand Forecast of Retail Commodities Based on LSTM-ARIMA Joint Model
Authors: Song Haoran , Du Dengyu , Li Yao 
Published: April 2021

Abstract
Aiming at the retail forecasting problem, this article uses software such as MATLAB, SPSS, and Python as tools, and uses dual correlation analysis, LSTM neural network-ARIMA joint model, and BP neural network-based subclass-skc fusion model, etc., to get an impact on skc sales. The importance of the factors and accurate forecasts of sales.
A study on the Application of Computer Music in Mass Music Tutoring
Authors: Liu Jie , Liang Liang 
Published: April 2021

Abstract
Computer music occupies an important place in the field of musical art, a highly expressive and creative genre that opens up a whole new path for innovation in music production. With the continuous improvement of people’s living standard nowadays, more and more people begin to pay attention to the improvement of spiritual needs, and mass music culture is loved and recognized by people in this environment, and has been vigorously promoted. For the implementation of mass music tutoring, the application of computer music technology has an important role to play, not only to break the limitations of traditional culture, but also to enhance the musical ability and music literacy of the masses. This paper makes an in-depth study on this, firstly, it elaborates the concept of computer music, introduces the specific composition of computer music system, and finally discusses the application ways of computer music in the process of mass music tutoring with the actual situation.
Channel Estimation Based on Compressive Sensing for Multi-User Massive MIMO Systems
Authors: Chen Qiang , Su Sunqing , Lei Guowei 
Published: April 2021

Abstract
Massive multiple-input multiple-output (MIMO) is becoming a key technology for future wireless communications. Channel feedback for massive MIMO is a challenging task due to the increased dimension of MIMO channel matrix. By exploiting the channel sparsity, channel estimation based on compressive sensing (CS) aims to reduce the feedback overhead in massive MIMO systems. In this paper, various CS algorithms for channel estimation in massive MIMO systems are summarized, and a novel CS algorithm, i.e. modified sparsity adaptive matching pursuit (MSAMP), is proposed hereupon. Moreover, various measurement matrices are introduced in the CS scheme. The performances of channel estimation and recovery are simulated and compared. It is inferred from simulation that, SAMP is very appropriate for reconstructing sparse channel information in massive MIMO system, especially the modified SAMP can give higher reconstruction, and some measurement matrix is suitable for certain optimal CS algorithms.
Design of parallel Computing based on Web Technology in Soil Moisture and Thermal process Simulation system
Authors: Hui Kong 
Published: April 2021

Abstract
Most of the traditional simulation software of soil water, soil and crops are based on the C-paw S model, and the efficiency of the simulation and calculation is relatively underground, and the organization and management of the data is slightly inferior, most of them are more powerful on the model. From the point of view of the early organization and management of the data, the simulation and optimization of the medium-term data, the visualization of the late platform and the efficiency of calculation, this project completes a new simulation platform with the help of the classical WHCNS model. At the same time, the innovation is to simulate and optimize the data with the help of big data technology, multi-thread technology, Web technology and the classical WHCNS soil-crop management model, so that the system has become an important experimental means of pilot-scale experiment, which can solve the problems of long experimental period, high cost and regional differences in the pilot-scale experiment of soil organic reconstruction. The simulation platform of the pilot test is constructed, and the relevant mechanism models and research models involved in the experimental research are coupled and integrated into the platform system to form a simulation process of data input-model simulation-calculation output and visual display. Used to assist the pilot test.
Simulation and Implementation of SLAM Drawing Based on ROS Wheeled Mobile Robot
Authors: Cui Yufan , Niu Zijie 
Published: April 2021

Abstract
In order to realize the establishment of the unknown terrain map in the indoor environment of the ROS wheeled mobile robot, this article uses Lidar, Raspberry Pi and other hardware to build the wheeled mobile robot, in the ROS environment, the robot is built by the URDF model, and the robot model is configured. Differential controller, keyboard control node, etc. Establish the simulation environment, use different simulation environments to visually simulate the robot, and simulate the two optimization algorithms in the SLAM algorithm to simulate the construction of the map. In order to explore the effect of SLAM’s different optimization algorithms on the construction of graphics, the SLAM algorithm based on filter and the SLAM algorithm based on graph optimization are introduced respectively. The robot is selected. After the robot is built, three different experimental environments are selected. A variety of map-building algorithms are used to experiment, comparing the effects of G-mapping algorithm and Cartographer algorithm to build maps in a small-scale, large-scale and multi-obstacle environment. Use the image processing software under the Linux system to analyse the map created by the robot in the experimental environment, measure the coordinates of the robot feature points in the created map by the number of pixels, and compare the actual coordinates of the location of the special point in the actual environment to evaluate Construction effect. By comparing the effects of the two algorithms on the contours of various obstacles when building a map, the effect of mapping in a multi-obstacle environment is evaluated. The results show that the SLAM graph-building algorithm based on graph optimization has a more stable graph-building effect.
Research on Energy Consumption Optimization Technology of Heterogeneous Network in Computer Communication Industry
Authors: Xiao Gengyi 
Published: April 2021

Abstract
In the environment of heterogeneous network nodes, the virtual network mapping problem of energy consumption optimization is not to minimize the number of working nodes and links. In order to study the energy consumption analysis of multi-mode terminals in wireless heterogeneous networks, by investigating the working mechanism of the terminal, using the energy-aware virtual network mapping heuristic algorithm to describe the communication state of the terminal, the energy consumption analysis equation of the terminal is obtained. The analysis results show that terminal energy consumption increases with the increase of call arrival intensity and call duration; the ratio of terminal energy consumption to voice services and the probability of discovering heterogeneous networks are in an approximately linear relationship; the heterogeneous network modules enter low energy consumption the waiting state does not save terminal energy consumption.
MCMC impute missing values and Bayesian variable selection for logistic regression model to predict Pima Indian Diabetes
Authors: Li Gongli , Liu Yueze , Li Han , Yao Ruikuan , Li Chenyang 
Published: April 2021

Abstract
Diabetes mellitus is a metabolic disease that causes high blood sugar. The risk factor of diabetes can be reduced significantly by early precise prediction. Lots of literatures published for diabetes prediction, but nearly all of them proposed frequentist Machine learning algorithm to classify and build models. Besides, their data pre-processing methods are not professional. In this literature, we are proposing MCMC filling missing values and Bayesian variable selection for logistic regression model to classify diabetes patients. It shows great performance (AUC = 0.884, sensitivity = 0.805, specificity = 0.875).
Research on Wireless Sensor Network Technology Based on Particle Swarm Algorithm
Authors: Wang Guanghui 
Published: April 2021

Abstract
The paper proposes a positioning method based on random particle swarm optimization algorithm. It is assumed that there are some anchor nodes in the wireless sensor network, and the distance information between adjacent nodes can be obtained. After the positioning node obtains enough distance and location information of the adjacent anchor nodes or the located nodes, the random particle swarm optimization algorithm is used Achieve positioning. Simulation shows that this method has higher performance than multilateral measurement method and positioning method based on standard particle swarm optimization algorithm.