bluuebunny/crossref_metadata_2025_split huggingface dataset:
Internet of Things and Intelligent Transportation System
Authors: Zhang Dandan , Tan Panjing 
Published: November 2021

Abstract
As the core of the new monitoring system, the Internet of Things realizes the integration of wireless sensor networks and traditional communication networks, and provides a platform for remote management and monitoring of the underlying equipment. The intelligent transportation system framework built on this basis combines intelligent transportation technology and the organic combination of vehicle management technologies is conducive to the safety, speed and reliability of vehicle transportation, and plays an important role in further reducing transportation costs. Based on this, this article launched the research on the Internet of Things and intelligent transportation systems. This article first summarizes the concepts of the Internet of Things, intelligent transportation and wireless sensor network technology and the current research status at home and abroad. By analyzing and comparing the performance and characteristics of various communication methods, embedded core microprocessors and embedded operating systems, this paper proposes an overall design scheme of the Internet of Things transportation system based on embedded technology. This paper analyzes the path planning problems in the application of the transportation system, combining the shortest path algorithm simulation results and the actual characteristics of the transportation network, and proposes a simulation data fitting method based on two network parameters and Bellman-Ford, Dijkstra, and Floyd algorithms. The route optimization scheme, and the above-mentioned design scheme was implemented in the transportation system, and the scheme verification was carried out. Finally, this article describes in detail the overall debugging process and operating results of the transportation system, thereby fully verifying the feasibility and correctness of the design and implementation methods of the intelligent transportation system based on the Internet of Things. The research results show that when the INF-PROPORTION is small, the Dijkstra algorithm is better than the Bellman-Ford algorithm. When INF-PROPORTION=0.3, the two algorithms T overlap. Since then, the advantages of the Bellman-Ford algorithm gradually appear, but it is approaching in INF-PROPORTION. At 1 o’clock, the Dijkstra algorithm has a sharp decrease, which is again smaller than the Bellman-Ford algorithm. The second loop condition in the main loop of Dijkstra’s algorithm cannot be satisfied, resulting in a decrease in T.
The Application Status and Development Prospects of Artificial Intelligence and Industrial Robots in the Manufacturing Industry
Authors: Zhu Yurong , Zhang Kui 
Published: November 2021

Abstract
China has achieved quite good results in the research and application of information technology and other fields. The continuous advancement of technologies such as AI, 5G communications, and cloud computing have played a key role in the development of intelligence, convenience, and innovation in various industries in China. The application of AI as a technical means in the Internet industry has been relatively mature and has achieved relatively good results. However, AI has not yet achieved satisfactory results in the development and upgrading of the manufacturing industry. As the most critical industry in the real economy, the manufacturing industry has played a decisive role in the sustainable development of China’s real economy. Therefore, it is necessary to promote the deep integration of AI technology and manufacturing and to further advance the process of intelligent manufacturing. Accordingly, this article discusses the application status and development prospects of AI and industrial robots in the manufacturing industry.
Design and Research of Virtual Reality Course Management System Based on Artificial Intelligence
Authors: Zou Zibo 
Published: November 2021

Abstract
Today, artificial intelligence and virtual reality are rapidly developing as a new technology, and major universities and training institutions have opened relevant courses one after another. However, the traditional course management system cannot meet the needs of virtual reality technology. Therefore, the virtual reality course management system based on artificial intelligence has become an important technological breakthrough to solve this problem. The purpose of this article is to study the design of a virtual reality course management system based on artificial intelligence. This article first, on the basis of fully understanding the core concepts of virtual reality, transforms the curriculum management needs into actual functions for design, and designs the three key functional modules of the design and research of the virtual reality curriculum management system based on artificial intelligence in detail. At the same time, the software architecture and database of the system are rationally designed, the system is designed and explained, and the key points in the main functional modules are explained in more detail. Finally, combined with the artificially designed virtual reality curriculum management system based on artificial intelligence, the application technology, education application and application experience analysis are carried out through questionnaire survey. The results of the questionnaire show that 47% of students are “very willing” to join the immersive virtual reality classroom teaching, and 40% of students choose “more willing”, indicating that students are more willing to accept the management system model.
Automatic Course Scheduling System in Universities Based on Hybrid Genetic-Ant Colony Algorithm
Authors: Duan Yanbei , Lu Wenjie 
Published: November 2021

Abstract
Scheduling is the daily work of the Ministry of Education in Colleges and universities. In the past ten years, the scale of our colleges and universities has expanded rapidly, but the teaching resources are relatively limited. Many schools are facing the problem of insufficient classroom resources and teachers resources. The current way of organizing courses is increasingly difficult to make full use of existing resources to solve the changing needs and inefficiencies, which need to be improved urgently. This paper applies the hybrid Genetic-Ant algorithm to the automatic course scheduling system in Colleges and universities, and uses the cross-function to design and build the automatic course scheduling system in Colleges and universities. And select a college’s course scheduling system from this city for research, and use the Genetic-Ant hybrid algorithm to improve the original system to form a new system, called the original system A, and called the improved new system B, to compare the operation time and system suitability of the two systems. The results show that the fitness of system B is better than that of system A. When the scheduling unit is 100, the fitness of system A is 181, and system B is 203. When the scheduling unit is 400, the fitness of system B is 14 higher than that of system A. When the scheduling unit is 800, the fitness of system B is 64 higher than that of system A. Thus, the hybrid algorithm of genetic ant colony can improve the rationality of the curriculum.
Application of Three-Dimensional Animation in Mechanical Control Mechanism
Authors: Shao Dong 
Published: November 2021

Abstract
With the development of the times and the advancement of science and technology, the development of 3D animation has gradually been applied in various fields. In the field of mechanical control, three-dimensional animation has gradually become a very important application. In the actual application process, the use of three-dimensional animation effects cannot be applied in the field of mechanical control only by imagination. It must be applied in practice from the perspective of mechanical control. Analyze from its own stability and external factors to realize its application value. The purpose of this paper is to study the application of 3D animation in mechanical control mechanism. This article will take mechanical control as an entry point to discuss the application of three-dimensional animation in its mechanism. The research is carried out from two aspects. The first is the application of the robot arm. Based on the kinematic path planning of the shortest time priority strategy, the shorter the motion time of the robot arm, the faster the speed, and the vibration is more difficult to avoid. This is the vibration of the flexible arm. Improve its work efficiency, lay the foundation for more complex path planning problems; create conditions for lighter and faster robotic arm applications. The second is the application of the mechanical foot. The proposed ankle joint control strategy based on the lateral and forward cycle matching can be combined with the forward plane walking control strategy under the stable initial gait of the robot to realize the humanlike virtual prototype of the biped robot. Dynamic walking for analysis. Experimental investigations have shown that in the process of normal walking, there is a dynamic swing process and a static support process. The swing process refers to the lifting of the foot to move forward or backward, and the supporting process refers to the immobilization of one foot to the other. One fulcrum on each foot allows it to move forwards and backwards. Among them, the dynamic swing process accounts for 40% of the whole process, and the static support process accounts for 60%. In general, based on these data, the three-dimensional robotic arm and three-dimensional robotic foot can be better studied.
Influence of Installation Mode of Sensing Board on Accuracy of Smart Voltage Measurement in Switch Cabinets
Authors: Huang Jie , Niu Xiaochen , Zhou Zihan 
Published: November 2021

Abstract
Based on the working principle of capacitor voltage transformer, this paper analyzes the influence of the installation mode of induced voltage board in the switchgear on the spatial stray capacitance by taking the switchgear, which is widely used as the carrier. Ansys finite element analysis software is used to establish the models of the voltage sensing board under different installation modes, and the influence of environmental factors such as the position, structure and temperature of the voltage sensing board on the stray capacitance between the bus bar and the sensing board is analyzed; The three-dimensional model of electric field shield plate structure is established for simulation. The installation mode of the voltage sensing board and the influence of the shielding board on the stray capacitance are revealed.
Camellia Oleifera Harvester Based on Model Processing
Authors: Kang Di , Fan Youhua , Chen Zejun , Ma Fang , Peng Shaofeng , YongWang  
Published: November 2021

Abstract
Aiming at the problems of high leakage rate and high damage rate in mechanized picking of Camellia oleifera fruit, a branch shaking type picking machine was designed. According to the working principle of picking, the structure design of key components was completed, and the orthogonal test of three factors and three levels was designed. The results showed that the best combination of operating parameters was: picking time 45s, vibration frequency 8Hz, amplitude 5cm of picking head. The field test of Camellia oleifera fruit picking machine was carried out, and the picking rate was 91.2%, and the damage rate of flower bud was 18.2%.
Influence of the welding parameters on the weld metal mechanical heterogeneity of EP517 (Fe12Cr2NiMoWVNb) steel and 36NKhTYu (Fe36Ni12Cr3TiAl) alloy dissimilar welded joints
Authors: Borodavkina K T , Terentyev E V , Sliva A P , Marchenkov A Yu , Zhmurko I E , Santalova Yu V , Kozyrev K M 
Published: November 2021

Abstract
The article presents the results of assessing the effect of the welding speed and the displacement of the electron beam relative to the joint on the mechanical heterogeneity of the weld metal of dissimilar welded joints of EP517 (Fe12Cr2NiMoWVNb) steel and 36NKhTYu (Fe36Ni12Cr3TiAl) alloy. Aging curves are plotted for the weld metal of welded joints made at electron beam welding (EBW) speeds of 30 m/h and 120 m/h, as well as for the weld metal of the welded joint made at a speed of 30 m/h with various electron beam displacements. An assessment of the change in the mechanical heterogeneity of the weld metal was carried out by the change in the standard deviation of the hardness values, and metallographic studies were also carried out. It was found that a decrease in the EBW speed leads to a decrease in the standard deviation of the results of measuring the hardness of the weld metal after aging from 45 to 14 HV5 or from 18% to 6%. It was also found that an increase in the displacement of the electron beam to alloy 36NKhTYu (Fe36Ni12Cr3TiAl) to 60% leads to an increase in the hardness of the weld metal from 225 to 305 HV5 (by 35%).
Synthesis of spherical zinc sulfide nanoparticles produced by femtosecond laser ablation and deposited on a silicon substrate under the action of an electrostatic field
Authors: Chernikov A S , Kochuev D A , Voznesenskaya A A , Egorova A V , Khorkov K S 
Published: November 2021

Abstract
In this paper we consider the synthesis of spherical zinc sulfide (ZnS) nanoparticles (NPs) deposited on a silicon substrate by femtosecond laser ablation of ceramic target under the action of an electrostatic field in argon gas atmosphere. The use of an electrostatic field in the process of ablative synthesis of NPs allows, in addition to capturing particles, to carry out predicted deposition of nanomaterials on the substrate, while carrying out the ablation products from the region of laser beam propagation. The morphology and structural characteristics of synthesized ZnS NPs were investigated using scanning electron microscopy and X-ray diffraction analysis. The size distribution of ZnS NPs were studied using dynamic light scattering technique. Obtained NPs have a spherical shape and are characterized by a hexagonal phase of wurtzite ZnS.
ON IMPROVING THE METHOD OF ELECTRON-BEAM DEPOSITION
Authors: Rozhkov Konstantin A. , Starikov Sergey S. , Varushkin Stepan V. , Trushnikov Dmitry N. , Zubko Irina A. 
Published: November 2021

Abstract
The paper deals with improvement of the electron-beam additive forming of metal products using a vertically fed filler wire in vacuum with two electron beams as a heating source. We compared the importance of the power of the heat source required for fusing the layers with each other and the calculated power of the heat source required to melt the filler wire and the surface of the product. Within the experimental conditions of the multilayer electron beam deposition using side wire feeding, the electron beam power of 2.4 kW was required to ensure fusion without the defect formation between the layers during the deposition of Ti-6Al-4V titanium alloy. At the same time, approximate calculations of the minimum power of the heat source required to melt the filler wire and the surface of the product showed a level of 730 W.
Evolution of porosity depending on SLM mode and subsequent HIP processing
Authors: Voznesenskaya A A , Zhdanov A V , Raznoschikov A S 
Published: November 2021

Abstract
In this work, we obtained the results of studying the effect of pore formation on the energy density deposited in the SLM process, as well as the effect of post-processing on the change in the nature of the pores. To study the porosity formed during the manufacture of parts by the SLM method, groups of primitive specimens were prepared and subjected to HIP processing. Pore formation was investigated by two methods: by optical microscopy and by weighing samples with subsequent calculations of density and porosity values. During the study of the initial samples, 4 types of pores were identified. Pore formation was investigated before and after HIP treatment. The dependence of pore formation on energy density is obtained.
Investigation of the effect of HIP processing on the physical and mechanical characteristics of parts obtained by the SLM method
Authors: Raznoschikov A S , Voznesenskaya A A , Kochuev D A , Gerke M N , Chkalov R V 
Published: November 2021

Abstract
In this paper presents the results of studying the powder material AISI 321. Selective laser melting (SLM) of the samples was carried out in modes with a change in the radiation power. The subsequent processing of the samples by the method of hot isostatic pressing (HIP) was carried out. The roughness of the surfaces and the microhardness of the samples before and after the HIP were studied.
The Sparse Learning of The Support Vector Machine
Authors: Cui Lipeng , Shen Jie , Yao Song 
Published: November 2021

Abstract
The sparse model plays an important role in many aeras, such as in the machine learning, image processing and signal processing. The sparse model has the ability of variable selection, so they can solve the over-fitting problem. The sparse model can be introduced into the field of support vector machine in order to get classification of the labels and sparsity of the variables simultaneously. This paper summarizes various sparse support vector machines. Finally, we revealed the research directions of the sparse support vector machines in the future.
UAV Assisted Wireless Network
Authors: Teng Sihao 
Published: November 2021

Abstract
With the increasing demand of social network service, the unmanned aerial vehicle has been used as a base station to assist terrestrial base station to improve wireless network performance. UAV base station provides high efficiency and wider data transmitting range due to the small size and flexibility of UAV. However, UAV wireless network faces few challenges. Energy efficiency is hard to achieve due to small battery capacity. The base station performance is also very important. It can be determined by aircraft’s flying stability, the performance of air to ground communication and the limitation of wireless coverage of UAV. In order to achieve optimal UAV deployment, improving deployment delay, communication coverage and UAV number limitation are important. Trajectory optimizing problems also need to be considered. This article analyzes UAV assisted wireless networks through investigating UAV energy efficiency, UAV aided network performance, optimal deployment methods and flight trajectory. It is shown that energy efficiency can be optimized by applying LoS based channel in UAV trajectory planning. And inequality iteration algorithm proposed by former researchers is used to determine optimal flight trajectory. This method is efficient because of cellular network’s interference-free ability. As for performance, channel selection methods are used to reduce overflow rate and boost data-received size. These methods are analyzed and proved to be effective for improving UAV aided wireless network performance.
Realization of combinatorial optimization of small-scale S-box
Authors: Huang Yating , Mao Ming , Li Yanjun , Zhang Weiguo 
Published: November 2021

Abstract
This method describes a new technology for combinatorial logic optimization in detail, which can combine multiple criteria to reduce the hardware implementation area of the S-box. This technique can be achieved in two steps. The first is to optimize the non-linear part of the S-box. According to the optimization criterion of multiplication complexity, the quality of the S-box nonlinear part optimization can be judged, and the realization of the S-box with the smallest multiplication complexity can be obtained. The second step is to optimize the linear part of the S-box, and optimize on the basis of the results of the first step, focusing on reducing the number of XOR gates, and the optimization is performed through a heuristic-based algorithm. The above combinatorial logic optimization technology can be applied to any small S-box (5 × 5 and below). Finally, the S-box of PRESENT algorithm and CTC2 algorithm are used as examples to illustrate the optimization effect, and the optimal realization under the minimum AND gate condition is obtained.
Triplet Siamese Network Model for Lithium-ion Battery Defects Classification Using Few-shot Learning Approach
Authors: Wu Ke , Tan Jie 
Published: November 2021

AbstractIn this paper, we propose a triplet siamese model for lithium-ion battery defects classification. It is a difficult task to detect the surface defects of lithium-ion batteries with stainless steel surface. The lack of three-dimensional information and the lack of marker datasets due to reflections prevent two-dimensional computer vision detection methods from meeting classification needs. In this work, the multiple exposure structured light method is utilized to obtain the three-dimensional shape of a lithium-ion battery with a stainless steel surface. The defect point cloud with three-dimensional information is obtained by this method, and then the 3D information of the defect point cloud is converted into grayscale information, and the grayscale image is used as the target domain data of the triplet siamese network. The public dataset MiniImageNet is utilized as the training data of the triplet siamese network model. The accuracies of the experimental results are 88.9%, 95.6%, and 97.8% for 1-shot, 5-shot, and 10-shot respectively. This result proves that our method can be used for lithium-ion battery defect detection.
Change detection based on dimension reduction SLIC and image matching for remote sensing images
Authors: Chang Zhenliang , Yang Xiaogang , Lu Ruitao , Zhuang Hao , Huang Pan 
Published: November 2021

Abstract
The detection accuracy of traditional change detection algorithms is seriously affected by the low accuracy and high rate of omission, the radiometric correction accuracy, and the classification threshold for difference image. A change detection method based on image segmentation and image matching was proposed for remote sensing images. In this method, super-pixel-based dimension reduction SLIC image segmentation algorithm and SURF algorithms were used. The homogeneous region was used as the segmentation standard, and the homogeneity method was proposed to suppress the impact of inconsistent image segmentation on the change detection results. The experimental results show that this method improves the accuracy of remote sensing image change detection, has good robustness to the problem of redundant data, significantly reduces the error detection rate of image change detection, and can effectively accelerate the speed of change detection.
Research on Service Value Chain Model Based on Technology Service Platform
Authors: Chen Xiang , Huang Gaijuan , Zhang Yangsen , Li Jianlong 
Published: November 2021

Abstract
For the technology service platform, serving users with science and technology resources is the purpose of platform construction, and the quality of the service value chain affects the operation of the technology service platform. Aiming at the immature status of the research on the service value chain model of the technology service platform, this paper proposes a set of construction ideas based on the service value chain model of the technology service platform. The model takes the technology service platform as the central node, and at the same time integrates users, third-party technology service platforms, service resource providers in various fields and other participant nodes, and links the interests of all parties through a dynamic chain with value flow as the core. Each participant node cooperates with each other to form a complex, cross-domain service value chain model. In order to ensure the service quality of the platform, a feedback mechanism that reflects the attitude of users using scientific and technological service resources is introduced into the service value chain model. By taking the manufacturing of vertical elevators as an example, the operation of the service value chain is simulated, and the usability of the service value chain model is verified.