bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Mechanical Analysis of Cement Concrete Surface Layer With Load - transfer Bar for Joints Based on Computer
Authors: Bi Xiaoxi , Yv Yang , Zhang Zhijun , Lv Fangli , Qiu Peitao 
Published: February 2021

Abstract
To establish a joint dowel bar and dowel bar set of cement concrete pavement structure in three dimensional finite element model, using the method of numerical analysis, analysis of the joint of cement concrete road surface of the load stress, deflection and deflection difference, to study the foundation modulus, dowel bar diameter on the load stress and the influence law of deflection is poor, and the condition of the same calculation results are analyzed in comparison. The results show that the principal stress, shear stress, deflection value and deflection difference decrease with the increase of the diameter of the rod. When the diameter of the transmission rod is greater than 35mm, the effect of increasing the diameter of the transmission rod on reducing the stress value at the calculated point in the cement concrete surface layer is not obvious. The calculated point load stress and deflection difference of cement concrete surface layer are obviously less than the calculated results when no load rod is installed in joints. When the foundation modulus is not greater than 800MPa, it is suggested to estimate the joint load transfer efficiency based on shear stress: when the foundation modulus is greater than 800MPa, it is suggested to estimate the joint load transfer efficiency based on the bending and sinking value or the principal stress[1-2].
Monitoring of Macadamia Nut Planting Environment Based on Smart Sensor Technology
Authors: Zhang Jinyun , Zhao Xiujuan , Tao Liang , Wu Shijun , Chen Qianqian 
Published: February 2021

Abstract
Smart sensor network technology integrates sensors, embedded computing, modern networks, wireless communication and distributed information processing technologies, and is currently a frontier hot research field in the world. The application of wireless sensor network to the greenhouse environment monitoring system to realize self-organizing network, wireless data transmission and intelligent control is also of great significance to the realization of agricultural modernization. The purpose of this paper is to study the monitoring of macadamia nut planting environment based on smart sensor technology. Since the greenhouse environment monitoring system has very high requirements for power consumption, cost and stability, this article selects ZigBee wireless sensor network technology with low power consumption, low cost, high stability, etc. to build a set of monitoring temperature and humidity Greenhouse wireless smart sensor network model. According to the actual requirements of greenhouse environment monitoring, this article proposes a new type of ZigBee technology-based greenhouse macadamia nut planting environment monitoring system solution, and gives the overall structure of the system. Considering many aspects such as cost and power consumption, this article stores, displays, analyzes and processes the acquired data. The functions of the system meet the design requirements. The system realizes the collection of greenhouse parameters and the data display and processing functions, and realizes the video monitoring of the greenhouse. Experimental studies have shown that in the actual greenhouse environment, due to a large number of crops blocking, it is bound to produce certain obstacles to signal transmission, but because of the large number of nodes, the distance between the node and its parent node will not exceed 25m, which also ensures The data collected by sensor nodes can be safely and error-freely transmitted to the coordinator node in a multi-hop manner.
Industrial Control Trusted Computing Platform for Power Monitoring System
Authors: Wu Jinyu , Tao Wenwei , Lai Yuyang , Qin Zuming 
Published: February 2021

Abstract
The traditional network security protection methods are not enough to cope with the increasingly harsh network environment. It is of great significance to construct the active defense system of power monitoring network through trusted computing technology. Based on trusted computing technology, this paper studies the trusted computing platform for power monitoring system, mainly studies the trusted computing platform of master station and the trusted enhancement of field measurement and control equipment. Trusted platform of master station and trusted enhancement of field measurement and control.
Design of Automatic Production System for Multi-agent Edible Fungus Inoculation
Authors: Mao Chunyu , Yang Xiaodong , Yang Zhuojuan , Liu Hao 
Published: February 2021

Abstract
The automatic production system of edible fungus and fungus coating includes feeding robot, rod pulling robot, fungus injection system, cotton ball sealing system, detection system, feeding robot and assembly line. In the process of automatic bacteria injection, the work process is complicated because the space, function, and time of each part are different. It is difficult to achieve coordinated control of various devices using a single system. Therefore, multiple agents are established for the actual running multi-stage production system. Through the FA/C protocol, the agents communicate with each other, and the Manager-Agent is used to coordinate the control of each Task-Agent. Multi-agents are used to coordinately control the inoculation process of edible fungus bag, which is safe and reliable to meet the requirements of automatic inoculation of edible fungus bag.
Design and Analysis of Film-Covering Direct Seeding Machine in Paddy Field
Authors: Yu Xiaoze , Zhang Baofeng , You Jiahan 
Published: February 2021

Abstract
To realize the mechanization of film-covering direct seeding in paddy field, this paper analyzes the agronomic requirements of film-covering direct seeding of rice and the characteristics of paddy field operating conditions, and designs the overall structure of film-covering direct seeding machine by referring to the mechanical properties of degradable plastic film and paddy field working conditions. This machine adopts suspension structure and is powered by the handpiece of high speed rice transplanter. In the process of design, the resistance should be reduced as far as possible on the premise of film laying, so that the structure can be light and simplified to ensure the excellent trafficability of machines and tools in the paddy field. The power parameters and other main parameters of the direct seeding machine are determined. The stress of the designed machine during working is analyzed, which provides reference and basis for the subsequent research on the direct seeding mulch applicator in paddy field.
Ubiquitous Power Internet of Things and IPv6 Technology in Wireless Access Terminal and Intelligent Meter Reading Application System
Authors: Zhuang Yan , Dong Liang , Xu Jie , Xu Hao , Guo Yue , Xu Ning , He Liang , Yang Shan , Wang Yawen , Deng Yunxiang 
Published: February 2021

Abstract
State Grid Corporation of China (SGCC) has put forward the decision of building “three types and two networks”, which makes the energy Internet enterprises more competitive. With the goal of reaching the first-class level in the world, they are confident to meet greater challenges. To a certain extent, the power Internet of things has a great impact on the enterprises in the power industry, but also faces a huge impact and challenge. Based on the analysis of the current situation of China’s electric power enterprises, this paper puts forward the research of ubiquitous power Internet of things and IPv6 Technology in wireless access terminal and intelligent meter reading application system. Through the investigation and analysis of 180 staff of an electric power enterprise in China, this paper compares the cost, rationality and efficiency of traditional power mode and IPv6 technology power mode, and discusses and analyzes the results. It is concluded that after the introduction of IPv6 technology into the power industry, the cost of the enterprise is saved, the rationality of the structure is improved, and the benefit of the power enterprise is also significantly improved, which provides technical guarantee for the development of the power enterprise. The research in this paper has important practical significance for further promoting the application of ubiquitous power Internet of things and IPv6 Technology in wireless access terminal and intelligent meter reading application in power enterprises.
Fatigue Performance of Titanium Alloy Welded Joints
Authors: Zhang Lijun , Kang Jingjie , Tang Shengming , Shi Xiumei , Sun Yuandong , Wang Ruolan , Li Shengjie 
Published: February 2021

Abstract
Titanium alloys are widely used in aerospace, chemical engineering and medicine because of their excellent tensile, fatigue strength and corrosion resistance. For aerospace titanium alloys, fatigue performance is an important parameter, especially as a structural material. Welding is an indispensable method. After welding, there is a large unevenness in the structure and mechanical properties of the welded joint. Fatigue performance also has a profound effect. This article has done a deep research on the fatigue performance of titanium alloy welded streets, using ANSYS software to calculate and analyze the stress concentration of welded joints, observe and analyze the welding defects on fatigue fractures, and discuss the effect of welding defects on fatigue behavior The equivalent residual stress after spot welding at the center of the joint weld obtained by conventional laser welding near the welding end position is 547 MPa, of which the longitudinal residual stress along the weld direction is tensile stress, the magnitude is 482 MPa, and the transverse direction perpendicular to the weld direction The residual stress is a compressive stress of 114.0 MPa, and the equivalent residual stress of the weld is reduced after the use of SGCW technology. The equivalent residual stress at this point is reduced to 489 MPa, which is a reduction of nearly 12%.
Development of Magnetoelectric Speed Sensor for Engine with High Environment Adaptability
Authors: Li Yongqing , Liu Zhongqiang , Xu Danhui , Hu Yanli , Zheng Nan , Ma Chao , Qi Jing 
Published: February 2021

Abstract
The high reliable environment adaptive magnetoelectric speed sensor developed by this project is mainly used in the field of engine measurement and control. This project can effectively improve the accuracy and reliability of sensor measurement by adopting a new output design of redundancy synchronous coil and transformer secondary amplification design. By optimizing the induction coil, magnetic steel and internal structure, the sensor has outstanding performance such as low speed work, high sensitivity and low noise; At the same time, the project also through the overall structure of the sensor, material design, packaging technology and other optimization design, to ensure that the sensor meets the wide temperature zone, vibration resistance, impact resistance and full seal protection and a series of high reliable environmental adaptability technical requirements.
Digital watermarking algorithm for multi-sampling compressed sensing in measurement domain
Authors: Tian Pengyi , Xu Dinggen , Xu Wenqiang 
Published: February 2021

Abstract
Compressed sensing technology is widely used in the field of digital watermarking and traditional algorithms lack proper selection of carrier data, resulting in excessive computing costs. The algorithm in this paper mainly focuses on the measured values of different regions, uses the clustering algorithm to select the appropriate image blocks, adjusts the sampling rate to re-measure the background image blocks, obtains new measurement values, and then performs digital watermark embedding and carrier image restoration. The experiment shows this method improved transparency, while possessing certain robustness and resistance to extraction.
Research on the Training mode of German Talents in Colleges and Universities Based on MOOC
Authors: Yan Chengcheng 
Published: February 2021

Abstract
At the present stage, the German talent training in Colleges and universities is facing unprecedented barrenness, unable to perfectly meet the needs of enterprises, and it is difficult to meet the work division and characteristics of enterprises. Based on this, MOOC learning alleviates this phenomenon. MOOC learning has its own characteristics. It can solve the problem of German talents training in Colleges and universities in the learning process and has a unique learning mode. Therefore, this paper proposes a MOOC based German talent training model. Firstly, the teaching mode of characteristic German talents training based on MOOC is established. According to the analysis of learning data, the teaching objectives are adjusted, the appropriate teaching plan is formulated the students are urged to complete the learning tasks at any time. MOOC provides students with preview, online learning, discussion, testing projects and real-time feedback on students’ learning status, which makes the German talent training mode more novel and effective.
Dynamic Adjustment Mechanism of Specialty Setting in Application Oriented Universities Under the Background of Big Data
Authors: Tian Ruixia 
Published: February 2021

Abstract
The specialty setting and adjustment in colleges and universities are closely related to the development of local economy and society. In order to cultivate high-quality talents, colleges and universities must base on the needs of current economic development, follow the law of professional development, set up new majors and transform old majors. However, there are many defects in the dynamic adjustment mechanism of specialty setting in traditional application-oriented colleges and universities law has been unable to adapt to mass information processing. Based on this, this paper studies the dynamic adjustment mechanism of specialty setting in application-oriented universities under the background of big data. Based on the big data mining algorithm, this paper proposes a dynamic adjustment mechanism of specialty setting in application-oriented colleges and universities, and selects two majors with the same basic situation to verify the method in this paper. In the verification process, we compare the method in this paper with the traditional method. The results show that the employment rate of graduates is 63%, the employment rate of graduates is 41%, and the rate of voluntary filling is 12%. However, among the students who adopt the traditional method, the employment rate is 81%, the employment rate of graduates is 63%, and the rate of voluntary filling is 21%. It can be seen that the dynamic adjustment mechanism of specialty setting in application-oriented colleges and universities proposed in this paper is feasible under the background of big data, and this study also provides a new reference direction for the adjustment of specialty setting in colleges and universities.
Tourism Marketing Innovation Management Model Based on Big Data
Authors: Su Aihua 
Published: February 2021

Abstract
The competition among the tourism industry in my country is very fierce. The emergence of big data provides new opportunities for the development of the tourism industry. The tourism industry uses data mining and cloud computing technology to filter out valuable data from massive amounts of information. This function It provides the possibility to develop an innovative management model of tourism marketing based on big data. This paper conducts research on big data technology, combines big data with tourism marketing management mode, and proposes an innovative management mode of tourism marketing based on big data. This innovative management mode can effectively mine and intelligently analyze the data of tourism users, so as to develop a personalized marketing plan. The research results show that the tourism marketing innovation management model based on big data improves the accuracy of customer demand judgment by 25.7%, improves the core competitiveness of tourism enterprises, and promotes the development of the tourism industry.
The Current Situation of Medical Information Retrieval Teaching under the Background of MOOC
Authors: Zhang Yongrui , Gao Jialin 
Published: February 2021

Abstract
The full name of MOOC is the massive open online course. The platform system of medical information retrieval and utilization resource base based on MOOC can realize online learning, examination, information release and other functions. It helps to improve students’ information literacy, reduce teachers’ workload, improve teaching efficiency and promote teaching reform.
Anti-symmetric Plane Anti-symmetric Arch Cable-stayed Bridge abutment Joint Stress Analysis based on Finite Element Method
Authors: Gao Yuan , Zhu Tao , Bai Yu 
Published: February 2021

Abstract
As an example by two step finite element analysis method, North Central Bridge of Taiyuan is calculated with the three abutment joint in static and dynamic conditions of the calculation results. Steel arch mainly produces bending, torsion, compression deformation and dynamic combination of working conditions is significantly higher than that of the dynamic combination of conditions. The overall stress level is not high can be appropriately increased the proportion of steel arch. The two-step finite element analysis method is used to establish the finite element model of the whole bridge by MIDAS / Civil, and the local finite element model of the arch abutment joint is established by using ANSYS. The results of the finite element model of the whole bridge are loaded into the local finite element model in the form of medium force and concentrated couple through the main node of rigid area. The result (absolute value) of dynamic combination condition is obviously higher than that of static combination condition, which indicates the importance of considering dynamic load combination in design. Whether the maximum stress of steel plate or the maximum first principal stress and the minimum third principal stress of concrete are within the reasonable range.
Image Recognition Technology of Synthetic Aperture Radar
Authors: Duan Rongxia , Liu Jiaru , Xu Baocai , Huang Tianchen 
Published: February 2021

Abstract
The rapid development of artificial intelligence in recent years, especially the rise of deep learning, provides a new path for radar target recognition. This paper first introduces the development of synthetic aperture radar and deep learning, and then analyzes the challenges and difficulties of deep neural networks. Then the self-encoder is used for target recognition. The model uses self-encoder to realize feature selection and data Manacor to classify the final object. In this paper, the advantages and disadvantages of the model are analyzed, and the improvement ideas are put forward. Finally, the original synthetic aperture radar image is processed by Median filter, mean filter and Gaussian filter. After comparison and analysis, it is concluded that the filtering effect is best when the Median filter size is 22.
Probabilistic Connectionless Multipath Routing Algorithm for Reliability and Stability Evaluation
Authors: Wang Zhihan 
Published: February 2021

Abstract
Aiming at the dynamic topology characteristics of mobile ad hoc networks, a dynamic multi-path routing algorithm based on improved probability disconnect multiple routing (IDPMR) performance is proposed, which can derive the classification of link cost function by considering real-time parameters, so as to flexibly allocate resources for transmission and reduce the impact between traffic categories. Based on the statistical characteristics of path remaining lifetime, the algorithm takes into account the correlation of adjacent link lifetime, so as to eliminate the theoretical error of existing algorithms in path stability estimation, and uses the optimized stability criterion to realize the multi-path selection of route discovery process and fast route repair based on backup path support. The simulation results show that the algorithm has fast convergence speed, can effectively improve the network throughput, shorten the data transmission delay and reduce the routing overhead, and better ensure the stability of data transmission under high node mobility.
Weeding Method of Traditional Chinese Medicine Planting Based on Big Data Analysis
Authors: Yu Xiaoze , Zhang Baofeng , You Jiahan 
Published: February 2021

Abstract
With the continuous development of China’s society and economy, China’s various high-tech science and technology are constantly applied and updated in our daily life, and the level of infrastructure construction in our country has been constantly improved. In this era of big data, the application of big data technology has successfully reduced the pressure of people in work and study. The research on the methods of planting and weeding of traditional Chinese medicine has been highly concerned by people from all walks of life. The application range of traditional Chinese medicine is very wide. It can not only be used in the treatment of diseases, but also in health care and agriculture. In order to better help the research of weeding methods in traditional Chinese medicine planting in the new era, this paper puts forward the application of big data technology in the research of weed control methods of traditional Chinese medicine planting. Through the analysis method of big data, this paper analyzes some problems that need to be solved in the current development of traditional Chinese medicine planting and weeding, so as to formulate a set of research scheme of traditional Chinese medicine planting and weeding methods based on big data analysis in this era. Through the analysis, the method proposed in this paper successfully provides a new development idea for the research of weed control method of traditional Chinese medicine based on big data analysis.
Impact of Big Data Technology on the Diversity of Physical Education Teaching Methods
Authors: Hu Wenwu , Ye Liaokun 
Published: February 2021

Abstract
The development of Internet technology has caused a sharp increase in the amount of data in the current society, and the information age has gradually transitioned to the era of big data. And physical education as a course for us to improve the physical quality and mental state of our students is naturally extremely important. Therefore, this paper studies the impact of big data technology on the diversity of physical education teaching methods. Although there is a lot of research on physical education teaching, there are still deficiencies. This article analyzes the impact of big data on the development of physical education from these five aspects through education decision-making, education teaching, student learning, and education evaluation and education research. Using the method in this article, tests have shown that students’ enthusiasm has increased by 16%.