bluuebunny/crossref_metadata_2025 huggingface dataset:
Fruit image recognition and classification method based on improved single shot multi-box detector
Authors: Cai Jinfan , Tao Jiaxin , Ma Yahong , Fan Xiaojiao , Cheng Lin
Published: September 2020

In recent years, pattern recognition has been gradually applied to the field of agriculture, especially fruit classification and rating based on image. However, the target fruit is affected by the interference factors such as light change, uneven brightness, similar background, branches and leaves, shadow coverage, etc. In order to solve the problems of low recognition rate and low generalization of fruits in the natural environment, we proposed an improved SSD (Single Shot Multi-box Detector) to classify apple, persimmon, nectarine and pear. The original network is optimized and the more advanced soft NMS (Non-Maximum Suppression) is used to obtain the anchor boxes, so as to provide a better initial value for the prediction of the bounding box. At the same time, under the premise of keeping good performance independent of the network architecture, batch normalization is used to initialize the de-random training model, which brings stable and predictable gradient of the detector. Through the identification test of four kinds of fruits collected in the natural background, the experiment shows that the improved SSD fruit detection model is effective. The fruit recognition speed is the fastest and the detection accuracy is the highest compared with other methods. The average detection accuracy in various environments has reached 92.4%. It can be concluded that the proposed method will realize the accurate detection of many kinds of fruits, and provide a new scheme for the fruit recognition and detection problems in agricultural automatic picking.
Wrestling performance prediction based on improved RBF neural network
Authors: Zhao Linlin , Liu Runzhi , Wu Jianzhong , Guo Lulu
Published: September 2020

As the earliest competitive sport, wrestling has become a world-class event through continuous development and improvement. Practitioners of competitive sports combine modern science such as life science, nutrition, statistics and so on to study the techniques and methods of improving wrestling performance. In this paper, a quantitative prediction model of wrestling performance is established by improving RBF neural network based on dropout theory. By analyzing the quantitative factors such as hemoglobin, blood urea and the technical factors such as reaction strength, speed and endurance of athletes, data were collected and network training was conducted. The predicted results have a high fitting degree with the real results, which can be used to predict the achievements of wrestlers and provide important reference for relevant practitioners in making training plans, selecting competitors and improving the competitive level.
Design of remote monitoring system for tablet coating equipment
Authors: Zhang Heling , Yu Ying , Zhang Kang
Published: September 2020

Through the design of single-chip microcomputer control system, this paper makes full use of automatic control technology, computer technology, communication technology, network technology, instrument technology and software technology. Fuzzy control is used to realize production process automation. In the process of drug coating, the particle shape, particle moisture and spray gun mouth condition in the pot of the coating machine were detected on-line, and the control methods of air volume, steam volume and drug liquid volume needed in the production process were studied.
PID control realization of drying system of the finishing line based on MCGS and PLC
Authors: Zhang Junyan
Published: September 2020

In order to achieve the temperature control accuracy of the finishing line drying system, a PID control system based on MCGS and PLC is proposed. Using MCGS configuration software to edit the touch screen picture, Siemens PLC hardware configuration and programming, PID control algorithm to realize the conversion of analog and digital quantity, as well as the communication design between the upper computer (PC) and PLC and touch screen. Through the practical verification of assembly and debuggin, the control of the given value ± 5 °C of the drying system temperature of the finish line is realized.
Establishment of taxi priority scheme model based on priority queuing system
Authors: Su Youkang
Published: September 2020

With the continuous development of China’s economy, the construction of civil aviation engineering has become a major topic in China. Once again, there is a great lack of research on how to give passengers priority to return to the airport. Based on the analysis data of three representative airport passengers taking taxis, this paper establishes the priority scheme model based on the priority queuing system. Finally, by establishing the “priority function” model and quantifing the priority index, a feasible “priority” arrangement scheme is obtained. It is found that the professionalism, taxi drivers who have carried long-distance passengers are more likely to gain more profits by staying in the urban area, and the taxi drivers who have carried passengers for a short distance back to the airport to continue carrying passengers may reduce the time cost consumption Through the guidance and feasibility evaluation of how to give priority to taxi drivers based on the mathematical model, it can help the airport management department to formulate the optimization scheme scientifically and effectively, improve the working enthusiasm of taxi drivers and the travel efficiency of passengers, which has certain guiding significance for the scientific and efficient management of the airport.
Application analysis of machine learning in fault diagnosis: A bibliometric analysis
Authors: Tu Wenyan , Fang Ji , He Yihua , Huang Jin
Published: September 2020

This article to analyze the application of machine learning in fault diagnosis by using bibliometrics, co-citation network analysis and cluster analysis methods. The analysis found that in the application research of machine learning in fault diagnosis, China has the largest number of published papers and cited papers, among which IEEE access is the most published journal, MECHANICAL SYSTEMS AND SIGNAL PROCESSING is the most cited journal,followed by the United States and India. Using document co-citation relationship analysis, a set of key documents in this field was identified., Currently, the important algorithms fault diagnosis include support vector data description method, transfer learning algorithm, convolutional neural network algorithm, natural inspired optimization algorithm, bayesian network, wavelet packet decomposition algorithm, fuzzy logic algorithm and so on. All of them are clustered according to keywords, and their application fields include acoustic emission and fault diagnosis of doubly-fed induction generators.
A VFDT algorithm optimization and application thereof in data stream classification
Authors: Jia Shuangying
Published: September 2020

Data stream mining is a new technology for dynamically extracting feature patterns from data streams. Its core technology is data stream mining algorithms. Data stream mining algorithms are divided into clustering and classification algorithms. In data stream classification algorithms, VFDT (The Concept-adapting Very Fast Decision Tree algorithm is an effective classification decision tree algorithm. The algorithm dynamically constructs a decision tree based on the improvement of the Hoefdding tree. With the inflow of data, new branches are continuously added and outdated Branch. However, the algorithm has the problem of concept drift, and some nodes may no longer meet the Hoefdding bound, which affects the classification mining effect. This paper proposes an optimization algorithm (VFDT), which reduces the impact of concept drift and network noise by adding sliding window technology and fuzzy technology to the VFDT classification mining algorithm. Experimental results show that the algorithm can effectively improve the accuracy of stream data classification mining. Reduce classification errors.
Performance degradation analysis of reliability growth of airborne power supply based on logistic regression
Authors: Zhang Jie , Li Ningzhou , Wei Xiaojuan
Published: September 2020

With the improvement of reliability design of nonlinear airborne power supply system, it is more difficult to analyze the performance degradation of components under lean failure data in reliability growth test. In this paper, a state space model of performance degradation was established for nonlinear airborne power system, and the method of performance degradation modeling and analysis was studied by using nonlinear logistic regression process. Taking electrical, mechanical and thermal stress as characteristic failure loads, a nonlinear logistic regression analysis model was established to describe the performance degradation under comprehensive stress. The state of the degradation space is divided by the Markov distance, and the performance degradation trajectory is transformed into the degradation state space by using the maximum likelihood model and correlation degree model of observed variables, the degradation space trajectory of the performance of the characteristic parameters under multi-input variables is obtained. The correctness and validity of the nonlinear logistic regression model and the degradation process analysis method are verified by the test on the brushless motor reliability test platform.
Construction and empirical study of the evaluation index system for high-quality development of marine economy in Guangdong Province based on five new development concepts
Authors: Xiao Jianhua , Hu Duanmei
Published: September 2020

The ocean is a strategic place for high-quality development. In-depth evaluation of the quality of Marine economic development is of great guiding significance for implementing the five new development concepts and promoting the sustainable and healthy development of Marine economy. On the basis of introducing the connotation of high-quality development of Marine economy and the five new development concepts, it tried to construct an evaluation index system for the high-quality development of the Marine economy that includes 12 evaluation dimensions and 12 indicators. The results show that: from the overall level of high-quality development of Marine economy, the high-quality development of Marine economy in Guangdong province shows a steady upward trend. The index weight of green development is the largest, which has the greatest impact on the high-quality development of Guangdong’s Marine economy. Based on the implementation of the five development concepts, the paper puts forward the countermeasures and suggestions for the high-quality development of Marine economy in Guangdong province.
Based on point-to-point network extended credit authentication model
Authors: Ma Jianyao , Wen Zhanjie
Published: September 2020

Research shows that P2P technology exist many problems about reliability in the Internet credit industry. It has become particularly important to ensure the reliability of users and improve the success rate of transactions. In this paper, the traditional trust identification model is improved, and the P2P business transaction is integrated into the credit identification model as a dynamic indicator. -On this basis, a block chain is constructed with credit recognition model as intelligent contract. Through the block chain network based on the credit identification model, the credit value of each user will be dynamically evaluated. The block chain network will ensure the credibility of the dynamic indicators of transactions, so as to ensure the reliability of the customer credit value evaluation. Therefore, a quantitative standard that both parties can trust can be established. Without the guarantee of the third party, both sides of P2P transaction can define the trustworthiness of the transaction parties. That guarantees the reliability of the transaction.
A cognitive analysis of an English reading test through the G-DINA model
Authors: Zhao Haizhen , Wang Weize , Huang Yuyuan
Published: September 2020

The development of language testing calls for more in-depth diagnostic information of language skills to provide targeted feedback for test developers and test takers as well. Cognitive diagnostic assessment is capable of evaluating language skills (cognitive attributes) involved in a language test and assessing the cognitive features of test takers. Therefore, the introduction of cognitive diagnostic assessment to language testing is of great significance. The study is aimed to make a cognitive analysis of an English reading test for first-year college students through a cognitive diagnostic model named G-DINA. Through the feedback information of cognitive analysis, the study is expected to provide scientific and targeted feedback for students and teachers, helping to improve language testing, teaching and learning.
Under the background of data science, construct the higher education quality evaluation system of civilian-run regular universities in Hubei Province based on the Analytic Hierarchy Process (AHP)
Authors: Zuo Zongwen , Wang Xiao , Wang Xian
Published: September 2020

This paper takes the CIPP evaluation mode as the connotation to promote the modernization of university governance ability under the background of national governance modernization, with Hubei Province as an example for the investigation. This paper constructs the indicator system framework from three dimensions of input quality, process quality and output quality of universities. Through the calculation of indicator weights and scientific assignment by analytic hierarchy process (AHP), a set of applicable and operable complete evaluation indicator system is formed, which can be used to evaluate the higher education quality and help the governance modernization of civilian-run universities.
Forecast of China’s average annual economic growth rate based on BP neural network
Authors: Hu Xuanyu
Published: September 2020

With the continuous development of China’s economy, the influence of financial factors on China’s economy continues to deepen. In recent years, economic development has been more stable, and the average annual growth rate has slowed down. However, the impact of financial factors of China is mostly qualitative analysis, and only few reasonable mathematical models are used in this field. This paper uses BP neural network to establish a nonlinear model of China’s annual economic growth rate and financial factors to analyze the current average annual economic growth rate, which provides effective guidance for China’s future development strategy.
Analysis of lung cancer morbidity and mortality based on particle swarm optimization
Authors: Li Naiwei , Cheng Ziyi , Woo Youngmin , Ha Jongmyung , Kim Andre
Published: September 2020

Based on the particle swarm algorithm to establish a mathematical model, this article counts the air quality index, tobacco sales, the number of cancer hospitals and the number of health personnel from 2008 to 2019, and quickly calculates the morbidity and mortality of lung cancer over the years, and uses statistics The relative error between the value and the calculated value is the evaluation standard. The result proves that the relative error between the calculated value and the statistical value of the morbidity and mortality of lung cancer is less than 10%, indicating that the calculation result of the particle swarm algorithm has good confidence.
The design and implementation of a campus web information system based on micro-service architecture
Authors: Gong Yifei , Chen Kengbin , Gu Feng , Wang Fei
Published: September 2020

In the development of Web information system, the traditional monolithic application architecture is simple and effective for small-scale projects. Because all business logics are combined together in those projects, secondary development and maintenance become very difficult. In recent years, there are methods to solve this problem, which are popular Web distributed architecture solution. The first step of the solution is to separate front-end and back-end of Web system and the second step is to decompose system’s services into micro-services. Micro-service architecture splits application into smaller scale services and each service completes only performs special function. Through service registration centre, micro-service architecture provides unified mechanism of service discovery and registration, it provides unified interfaces for calls from front-end through gateway technology; it protects stability and fault tolerance via back-off mechanism and circuit-breaker mechanism. We have developed a campus Web information system, which adopts two techniques, the separation of front-end and back-end and micro-service architecture By using Spring Cloud framework as back-end developing architecture, the solution of splitting application to micro-services is obtained, and then problems in monolithic application architecture are solved. The high reusability of back-end services is realized and the advantages of micro-service architecture are tested in our system.
Research overview to the quality evaluation of strong-motion observation data
Authors: Liu Yanqiong , Liu Jie
Published: September 2020

The quality of strong-motion observation data can directly influence the reliability of earthquake disaster prevention, seismic intensity rapid reporting, earthquake early warning and other results, so it’s of great significance to analyse and evaluate the quality of observation data. In this paper, a detailed survey is made considering the status of domestic and overseas studies on the quality of strong-motion observation data, followed by elaborations about the method and deficiencies in the quality evaluation of strong-motion data; Meanwhile, the main factors influencing the quality of strong-motion observation data are also illustrated, and indexes of quality evaluation are summarized by combining with characteristics and application objectives of strong earthquake observation data; Furthermore, this paper also provides discussions about the development trend of data quality evaluation based on the actual strong-motion observation conditions in China, and puts forward some suggestions.
Research on the change of vegetation loss and gain in Shenyang based on NDVI index
Authors: Xie Zhiwei , Ping Jiwei , Sun Lishuang , Dai Yuchen
Published: September 2020

Monitoring long time series of vegetation cover changes is essential to investigate the vegetation gain/loss and ecological conservation of an area. This paper first calculates and synthesizes the maximum NDVI image based on Landsat data of Google Earth Engine platform. Secondly, the vegetation cover is obtained using the dimidiate pixel model. Thirdly, the temporal and spatial trends of vegetation cover are analyzed using linear regression analysis method. Finally, with the support of random pre algorithm, the land cover types are obtained, and the gain / loss change types of vegetation are analyzed. The results show that the overall vegetation cover in Shenyang is mainly high cover. Vegetation cover change was dominated by significant gain, with minimal significant loss and an overall upward trend. Large areas of land cover in the study area were converted to vegetation, while vegetation in some areas of the district was converted to construction land.
Study on the evaluation of agricultural product logistics efficiency in Jilin province
Authors: Yu Hongshen , Zhao Lihong , Wu Maoyang
Published: September 2020

With a great variety of crop categories, Jilin Province is the main grain producing area in China, but agricultural product logistics is developing slowly. Based on the input-output data of agricultural product logistics in Jilin Province from 2009 to 2018, this paper conduct an empirical study on the efficiency of agricultural product logistics in Jilin Province with Deap2.1 software by means of CCR and BCC models in data envelopment analysis. The research results show that there are still some deficiencies in the investment of fixed assets and professionals etc. in agricultural product logistics in Jilin Province, and the scale effect has not yet been realized, and the overall capacity of agricultural product logistics is weak; This paper puts forward the reasonable allocation of input resources from the three levels of government, industry and logistics subjects, to improve the management level of agricultural product logistics and realize the cost reduction and efficiency increase.
Research on YOLOv3 algorithm based on darknet framework
Authors: Guo Rong , Li Shixin , Wang Kun
Published: September 2020

Traffic jams and accidents occur frequently in modern cities. In the context of smart cities, intelligent transportation can be effectively controlled through target detection technology. In view of the problems of slow detection speed and low accuracy of traditional vehicle detection algorithms, a YOLOv3 algorithm based on K-means ++ is proposed. The accuracy of bounding box detection is improved by the K-means ++ algorithm. Compared with the traditional YOLOv3 detection algorithm, the improved algorithm improves the detection speed and accuracy. Experiments show that the improved algorithm has a higher recognition rate for small targets in the actual test, while reducing the false detection rate and improving the accuracy of the algorithm.
Research and design of recommendation in book circle system
Authors: Xu Hui , Ren Shanshan , Yan Jingjing , Li Zheng
Published: September 2020

Reading is the ladder of human progress. It is the real needs of readers to quickly find good books and needed books in this fast-paced times. It will be more enjoyable if we can find the book friends who are interlinked with each other through reading. Digital reading records the whole process of reading, which contains readers’ reading preference. In this paper, we discussed the techniques based on the data related to reading: (1) book friends are personally recommended using books as the media; (2) good books are personally recommended taking readers as media; (3) reader recommendation model and book recommendation model are built based on the relationship between “book-reader” in reading events. A reading system with such a recommendation function can make it easy for readers to find the books they want and find book friends who have sympathetic thoughts.
Research on infrared passive ranging algorithm based on unscented Kalman filter and modified spherical coordinates
Authors: Chi Y H , Hu L H , Gao X , Li S F
Published: September 2020

Target range detection is one of the key technologies for intelligent unmanned vehicle to work reliably and efficiently. Infrared passive ranging can estimate the relative distance information of the target in real time by measuring the angle information with noise. It has many advantages such as low cost, good real-time performance and so on, which has a good application prospect in the range detection. In this paper, the mathematical model of infrared passive ranging of intelligent unmanned vehicle based on modified spherical coordinates (MSC) is established, and the algorithm flow based on unscented Kalman filter (UKF) is given. Finally, the simulation experiment and analysis are carried out. The results show that: in the problem of target range detection of intelligent unmanned vehicle, the method adopted has high ranging accuracy and good stability.
Study of the energy band structure of xBa (Sc1/2Nb1/2)O3-(1-x)(K1/2Na1/2)NbO3 perovskite solid solution
Authors: Ye Hongjun , Xing Zhuo
Published: September 2020

As an important branch of the research on smart materials, the piezoelectric and ferroelectric materials play an important role in the devices with functions of sensing and energy conversion of electricity, magnetism, sound, light, force, and heat, etc., and provide a strong hardware support for the development of artificial intelligence and data science. This paper studied the properties of the potassium sodium niobate (K1/2Na1/2) NbO3-based doped solid solution, calculated the xBa(Sc1/2Nb1/2)O3-(1-x)( K1/2Na1/2)NbO3 solid solution by using the First-Principles software based on quantum mechanics, and by changing the value of x, studied the energy band structure of several doping amounts. In the end, it found that Nb4d and Sc3d electrons contributed to the valence band maximum, and had a hybrid phenomenon with O2p between the energy band -7eV to and -2eV. Also, due to the doping of the Atom B, the energy band gap changed regularly.
Spatial pattern of artificial intelligence and its influence on labor market in China
Authors: Tian Lingyue , Sui Dangchen
Published: September 2020

With the rapid development of artificial intelligence, the labor market is constantly impacted. In order to explore the spatial relationship of AI development in different regions and the impact of technological progress on labor market, spatial autocorrelation test and individual time fixed effect model were used. The results show that there is a significant positive spatial dependence on the development level of artificial intelligence in China’s provinces. At present, the development of artificial intelligence leads to employment polarization in the labor market of China. Therefore, promoting the balanced development of regional artificial intelligence and encouraging the horizontal transfer of labor force will alleviate the negative impact of artificial intelligence.
Study on credit risk of real estate industry based on genetic algorithm KMV model
Authors: Cheng Xusheng , Sun Ziran , Bao Weiqi
Published: September 2020

This paper firstly analyzes the current situation of credit risk in China’s real estate industry, and then compares the traditional and modern credit risk measurement models. On this basis, the KMV model is selected and the artificial intelligence model genetic algorithm (GA) is introduced to improve the accuracy of KMV model. Secondly, annual financial data and stock trading data of 108 real estate listed companies from 2010 to 2019 are selected for empirical research. The analysis of the total default distance between the 108 companies and the actual economic development in China proves that the results of the GA-KMV model are in good agreement with the economic development trend, indicating that the model has good applicability. Finally, some suggestions are put forward according to the empirical results.
Prediction on VLBP-based online tourism E-commerce market
Authors: Yi Yunqian
Published: September 2020

With the improvement of economic living standard and the development of Internet, the demand of online tourism is also growing. The increasing number of tourists and the upgrading of consumption stimulate the growth of the transaction scale of the online travel market. With the demand of accurate development of e-commerce market, a reasonable quantitative mathematical model is an effective means of resource integration. In this paper, VLBP is used to analyse the development of China’s online tourism market by establishing a nonlinear relationship model between online tourism market transaction volume and various influencing factors to predict the future market transaction volume, so as to provide quantitative reference for the development of China’s online tourism e-commerce marketing.
Application and evaluation of “CDIO” in innovation and entrepreneurship education in higher vocational colleges
Authors: Cui Faqiang
Published: September 2020

This article, adopting the “CDIO engineering teaching concept and model” and facing the field of innovation and entrepreneurship education, conducted an experiment for a whole semester to test the effectiveness of CDIO in higher vocational college education. The survey results fully show that CDIO has a significant role in improving the overall level of students’ innovation and entrepreneurship. At the same time, through CDIO, students’ personal professional skills and practical ability have been significantly enhanced while their theoretical foundation ability has declined slightly. Finally, according to the analysis of the research results, CDIO’s suggestions and solutions during the implementation of higher vocational college education are put forward.
Research on satisfaction and loyalty of bank account manager in insurance companies based on perceived customer satisfaction adjustment
Authors: Liu Jing , Chen Yiwen
Published: September 2020

This paper analyses the data of 314 bank account managers through questionnaires survey to demonstrate the factor influencing the satisfaction and loyalty of bank account managers. This paper uses a linear regression to analyse the variables. The result shows that commission satisfaction, perceived insurance company image, perceived service quality, and perceived product complexity affect the satisfaction of bank account managers with insurance companies. The satisfaction of the bank account managers affects the willingness to sell and loyalty. The perceived customer satisfaction has moderating effect on the willingness to sell and loyalty. This paper fills the gaps in research on the satisfactory relationship between bank account managers and insurance companies.
Environment uncertainty, accounting information quality and inefficient investment
Authors: Mu Wen , Dai Wei , Cao Qilin
Published: September 2020

The business environment of an enterprise is changing rapidly. Enterprises need to find suitable investment opportunities in the rapidly changing business environment to promote the long-term growth of enterprise value. Since the outbreak of 2019-nCoV, business environment has undergone major changes, which has a profound impact on the enterprise’s investment behavior. This paper selects A-share listed companies from 2014 to 2018. Based on the study of the impact of environment uncertainty on investment efficiency, the paper analyzes the mechanism of the impact of accounting information quality on this correlation. It is found that when the enterprise is facing uncertain environment, improving accounting information quality can effectively alleviate the inefficient investment of the enterprise.
Local government debt pressure and enterprise tax burden in China
Authors: Wang Hong , Yi Xiaoqing
Published: September 2020

This study examines the relations between local government debt pressure and corporate tax burden in China, using the data of China’s A-share listed companies from 2009 to 2018, which turns out that there is a positive correlation between the two. Further examination revealed that the relationship between local government debt pressure and corporate tax burden is more pronounced in the sample of listed companies that belong to the state-owned holding companies, enterprises in eastern China, and the strong market allocation of economic resources. The research conclusion of this article supplements the theory and empirical study of the effect of the macro-financial system on the economic behavior of micro-enterprises, and also deepens the academic inquiry about the macro-environmental impact on the comprehensive tax burden of enterprises.
The evolution pattern of Input and output of Chinese forest products industry
Authors: Ye Kongfa , Dai Yongwu
Published: September 2020

Based on the data of China Statistical Yearbook of Industry and China Statistical Yearbook, this paper analyzes the evolution characteristics of the input and output of China’s forest product industry. The results show that from 2000 to 2018, the capital factor input of China’s forest product industry showed a trend of increasing year by year on the whole, while the labor input stabilized after 2008, and the paper industry even decreased. Before 2016, the total revenue of the main business of forest product industry showed a trend of annual growth, and then the growth rate declined or even declined. After 2011, the profit margin of assets in the forest product industry fluctuated and declined, and the total labor productivity increased year by year from 1999 to 2016, but the growth rate slowed down greatly after 2014.In addition, the granger causality test method is introduced to find that: for wood processing industry and wood furniture manufacturing industry, in general, there is a significant causal relationship between output scale and output quality, that is, there is a mutually reinforcing mechanism of action; The relationship between the two is not significant in the paper industry.
Research on the influence of physical activity on students’ academic achievements based on computer statistical software application
Authors: Li Lingshu , Lin Junwei
Published: September 2020

Due to the long-term concept of light sports in China, enthusiasm for physical activity is often misunderstood by parents as not expressing love. However, it has been proved that moderate to intense physical activity has a positive impact on academic performance. It is harmful to the health of young students to focus only on academic performance and ignore physical activity. In previous studies, there are long-term problems, such as insufficient experimental methods, lack of depth in content, focusing on pure physiological and psychological research, and lack of in-depth research on the relationship between sports activities and academic achievements. Therefore, this study will explore the relationship between physical activity and academic achievement, in order to change the public’s original prejudice against physical activity and highlight the importance of physical activity; According to different gender and age characteristics, this paper explores that students’ favorite sports have different effects on academic performance, and points out that there are intermediate variables between physical activity and academic achievement, such as aerobic endurance, stress, selective attention, sustained attention, attention shift, self-regulation ability. Physical activity can effectively promote the improvement of these variables, thus affecting academic performance, highlighting the equal status of sports disciplines and other disciplines.
Design and implementation of analysis and visualization of shared bicycle information
Authors: Ji Haiyan , Xu Hui , Zhou Cheng , Zhao Jingyi
Published: September 2020

While the shared bicycle without piles solves the problem of people’s “last mile” travel, its free mobility also brings the embarrassing situation of “one car is idle, the other is looking for it”. In this paper, data analysis methods are discussed to reveal the different flow patterns of shared bicycles usage and mobility variation with seasons, weather, time periods, working days, etc; predict method is given for the number of shared bicycle rides based on random forest algorithm. Mastering the distribution and riding rules of shared bicycles can help improve the efficiency of the use of bicycles, better meet the riding needs of users, and provide a data-based basis for regulating the regional regulation of shared bicycles.
System-level fault diagnosis method based on test model
Authors: Cong Wei , Hongkun Yu , Liu Jing
Published: September 2020

Aiming at the problems of many test states and uncertain test results in system-level fault diagnosis, a system-level fault diagnosis method based on test model is proposed. This method first divides the system nodes into multiple regions, then hierarchically organizes the regions, and implements a top-down hierarchical structure through the control nodes. On this basis, the guide words are used to describe system-level failure modes, formulate centralized test rules, and use data flows to identify failure modes caused by fault propagation and fault mutation, which reduces the state of fault testing and improves the accuracy of fault diagnosis. The example analysis shows that the method in this paper can meet the needs of system-level fault diagnosis, and has practical application value for shortening the time of system fault determination and improving the accuracy of troubleshooting.
Influence of surface roughness on the mixed elastohydrodynamic lubrication performance of vehicle gears contact area
Authors: Cao Wen
Published: September 2020

Most engineered rough surfaces approximately follow non-Gaussian distributions, which plays an important role in Vehicle gears lubrication performance in contract area. A three-dimensional elastohydrodynamic lubrication (EHL) model for involute Vehicle gears is developed by making the contact between surfaces during meshing tooth surfaces equivalent to an infinite line-contact model. By using the proposed model and non-Gaussian random roughness surfaces of given parametersgenerated by numerical simulation method based on FFT, the meshing process of spur and helical Vehicle gears is analyzed. The film thickness, contact area ratio and contact load ratio of contacting points of vehicle gears with different surface roughness characteristics are obtained as well.
Optimization design of active suspension of vehicle based on LQR control
Authors: Yao Yi
Published: September 2020

In this article, we take the 1/4 vehicle model as an example, according to the requirements of the driving performance of vehicles. We establishes the dynamic model of the vehicle, and use the linear quadratic optimal control theory to design the LQG controller of the active suspension, and use MATLAB/simulink to simulate the vehicle dynamic model. The results show that the active suspension with LQG controller has a good effect on the improvement of vehicle running stability and riding comfort.
Simulation analysis on handling stability of virtual prototype vehicle of wheeled vehicle
Authors: Yao Yi
Published: September 2020

In this paper, the steering stability of the Wheeled vehicle is evaluated by the response parameters characterizing the movement characteristics of the Wheeled vehicle. The steering stability of the virtual prototype of the Wheeled vehicle is simulated and analyzed. The steady state slewing characteristics, transient steering characteristicsunder angular pulse input of steering wheeland steering portability response characteristics were investigated to obtain the pros and cons of each evaluation index of the Wheeled vehicle prototype. Then the strategies and suggestions for further optimization of the steering system model were proposed.
Technical analysis of wheeled vehicle steering system
Authors: Zhang Ying
Published: September 2020

The steering system is an indispensable and important part of the wheeled vehicle, and its performance is directly related to the operational stability of the wheeled vehicle. This article introduces the working principle of the wheeled vehicle steering system. On this basis, it discusses the main components and functions of various types of steering systems. By analyzing the key technologies of the steering system, it provides a certain theoretical basis for the design of the steering system.
Quantitative analysis of heavy metal pollution in surface soil along the Funan River by XRF
Authors: Yang Jin , Ge Liangquan , Xiong Maolin , Wang Cheng , Xu Xiaoqiang , Tang Xu
Published: September 2020

With the development of urbanization and industrialization, the excessive use of metals leads to a sharp decrease in soil resources. Funan River runs through the whole urban area of Chengdu, and the surrounding population density is large, and environmental governance needs exist all the year round. It is of great significance to test the soil heavy metal content in this area. Under current environmental pollution, heavy metals mainly refer to biotoxic materials such as lead, cadmium, mercury and chromium, which are widely distributed in the atmosphere, water, soil and other substances in nature. They will react with proteins and enzymes in the human body, thus losing their original activities and even causing chronic poisoning. In this paper, reasonable sampling, sample treatment, X-ray fluorescence analysis and other methods were carried out for the surface soil along the Funan River, and the quantitative analysis of heavy metals was carried out. Results show that the heavy metal content of surface soil Chengdu Funan river coast are not more than the soil environment quality standard “regulation of the secondary standard, however, As, Cu and Zinc are found in the experiment of different degrees of pollution, including the As affected by natural factors, pollution is not obvious, the Cu and Zn pollution is more obvious, and concentrated in the industrial zone, highway interchange, namely industrial pollution and traffic pollution are more serious.
Application analysis of Iwrite platform in English writing teaching in higher vocational education
Authors: Wu Liyun
Published: September 2020

This paper first analyzes the current obstacles of English writing and teaching under the traditional writing teaching model. Then based on constructivism and input-out theory, relying on Iwrite, we conducted a one-year experimental teaching. The experimental class adopts the online and offline hybrid writing teaching based on Iwrite, while only traditional offline teaching is adopted in control class. By comparing the results of pretest and post-test, students’ scores of the experimental class increased from 37.3 to 70.4, which is a big improvement in contrast to the rise from 35.3 to 56.5 in control class. Additionally, on the one hand, Iwrite platform can provide real-time feedback so that students can make modifications in time to practice writing many times. On the other hand, teachers can design targeted teaching based on statistics of mistakes in students’ writing from Iwrite. Therefore, the author proposes that it is essential to establish the mixed model of online and offline English writing teaching.
Design and development of an instrument to measure coordinates of spine curvature
Authors: Gharde Shreyansh , Talukdar Debojit , Asif M R , Shanmugam Dinesh , Subramaniyam Murali
Published: September 2020

Human spine curvature data are required to detect spinal deformity/diagnose irregular spine curvature. The shape of the spine assisting for the flexibility and weight distribution of the body. Around the world, many countries have started collecting spine curvature data for more than five decades; however, India lacks in this field. Few countries have also developed various instruments to gather spine curvature data; on the other hand, they still seem inaccessible to Indian markets. A device which can collect the data is very much required as it has application in vast fields like product development on ergonomics principles. This study developed an instrument (simple and low cost) to measure coordinates of spine curvature. A wooden specimen (resembles human spine shape) was designed with various angles to validate the measurement accuracy of the developed instrument. The selected curves of the template were measured using three machines, including CMM machine, FARO arm machine, and developed device. T-Test confirms that there was no significant difference in the measured curvature data among instruments. The error percentage was 2.57 % (maximum).
A study of cervical spine morphology variation influence in loading and range of motions using finite element analysis
Authors: Manickam P Susai , Vinod Vibin , Yogesh V B , Harin M S , Balamurugan S
Published: September 2020

The most commonly found disease in aged people which can be dangerous and which affects the condition of an individual’s life is disc degenerative disease. The shift in the anterior load-bearing column was caused by the disc height changes in posterior side which could have adverse effects on posterior column. The lack of symptoms at early stages makes the identification of disc degenerative disease difficult but once identified, the treatment actions should be taken at right time. Biomechanical literature gives a static morphology of the FE models of cervical spine. An upcoming tendency in the current day medical practice is the use of personalized medicines and the predicting capabilities of this trend gets affected by not taking into account morphology as a model parameter. Finite element analysis is used to find the effect of variations in morphology of spine, intervertebral disc height, slope of facet joint, process height of articular facet joint and segment size was parametrized. Finite element study was done on vertebral rotation variations and ligamental forces. Some of the most important morphological variations found in the anatomy were disc segmental size & height and body depth. The estimation of ROM and calculation of impact loads were found to be the key elements in the examination of degeneration of discs. Nonetheless there are risks involved in the extensive use of instruments for direct measurement of range of motion. Fem models of the lower cervical spine are derived from a CT scan with dissimilar elements and then quality of these models is evaluated with the help of mesh element-related metrics. The range of motion values are then compared with the literature studies and the model with good mesh standard are used for future examination process. The individual components of spine are subjected to different types of loading situations and the stresses developed on them need to studied. The results gained from the finite element model helps us to plot stresses of subjects obtained from the respective lifestyles can benefit surgeons to suggest treatment actions.
Numerical simulation of an Indian auto-rickshaw model
Authors: Singh Neha , Abbey Saransh , Singh Pratyush Kumar , Kannan B T
Published: September 2020

Most of the cities in India offer auto-rickshaw services for short and large distances at an economical price. Yet there is little importance given to its study provided that there is a lot of scope to improve its aerodynamic efficiency. The objective of this work is to carry out numerical analysis to predict the aerodynamic characteristics of the vehicle. This numerical study is carried out using CFD software ANSYS-Fluent by solving Reynolds Averaged Navier Stokes equations with a realizable K-ℰ turbulence model via first-order schemes. The results obtained indicate the flow field variation in terms of pressure and velocity around the bluff body. This would also give an understanding of flow physics for further improvement in aerodynamic forces.
Design and development of a low-cost fluidized bed seeding generator
Authors: Naresh Kumar M , Gousik R , Prabhu Sri Vijay , Kannan B T
Published: September 2020

The latest developments in hardware and software for laser-based flow diagnostics enable the investigation of complex flow phenomena under enclosed, high-temperature and even pressurized conditions. However, the successful application of a velocimetry technique strongly depends on the presence of appropriate light-scattering tracer particles (seeding) in the flow. In this study, the design and development of a Seeding Generator is effectively carried out with perfect measurements considering the flow characteristics. Compressed air testing was done based on the laser sheet visualization and the flow field was visualized. The results show that the fabricated seeding generator will be able to supply seeding particles for flows from subsonic to supersonic regimes.
Design optimization of single expansion ramp nozzle using computational method
Authors: Khandai Suresh Chandra , Ezhilmaran G , Devanandh S , Hari Prasath P , Jesurajanishanth G , Arivazhagan A
Published: September 2020

The project is about the computational study of Single Expansion Ramp Nozzle (SERN). A comparison is carried out for four different cowls of length 2h with initial arc radii of 0mm, 10mm, 20mm and 30mm. The ramp and the cowl are angled. The study elaborates the effect of arc (0mm, 10mm, 20mm and 30mm) in the cowl on the performance of the SERN. The CFD procedure is validated by comparing with experimental results. The optimum design is obtained by analyzing the computational result.