bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Modelling and Analysis of Electrical Virtual Simulation SCM Experimental Platform
Authors: Jia Yajuan , Shang Lisha , Nan Jiangping , Zheng Jianbo
Published: April 2021

The thesis establishes a single-chip virtual simulation experiment platform, which mainly completes the related experiments of the single-chip principal course, and can be used for single-chip curriculum teaching, curriculum design, graduation design and related competition training for college students. The simulation platform has the characteristics of friendly interface and high degree of simulation, which truly breaks through the limitations of geography and time. The policy modelling platform realizes a teaching development model that centres on cultivating students’ application ability and takes teacher construction and laboratory construction as two wings. At the same time, a project-based driving form is adopted to encourage students to participate in a variety of after-school practice links to achieve the unity of classroom theory and experimental teaching.
3D imaging of cellular features in kidney glomeruli using expansion microscopy and fluorescent covalent stains
Authors: Wang Qi , Cao Jingyuan , Xu Huizhong
Published: April 2021

Objective: To develop a 3D imaging method for observing the structural features and identifying three types of cells in the glomerulus based on multiple optical sections of the specimen. Methodology: Following expansion microscopy procedures, the 50 μm thick sections of rat kidney tissues were expanded and cleared. The nuclear and cytoplasmic components of the glomerulus were then stained with dyes with optimized chemical and fluorescent properties and finally visualized by confocal microscopy. To further make the dataset friendly to pathologists, the images were pseudo-colored to resemble H&E. Results: Using the method presented here we were able to collect multiple sections of data. The different types of cells within the glomerulus can be well identified based on their anatomical features and gradual appearance changes along the thickness direction. Conclusion: Compared to two-dimensional data, our 3D multilayered data allows different glomerular cells to be more clearly identified, which lays the experimental foundation for more in-depth study of pathologic changes in the glomerulus.
Numerical Simulation of Thermal Shock Waves Induced by Pulsed X-ray in C/PF Materials
Authors: Wang Dong , Zhang Kun , Tang Wenhui
Published: April 2021

Based on the orthotropic elastoplastic constitutive model of carbon-phenolic (C/PF) material under three-dimensional strain, a self-developed explicit finite element program TSHOCK3D is developed to simulate the multi-physical coupling process of thermo-mechanical response of C/PF target irradiated by pulsed X-rays. Two typical irradiation conditions are simulated, namely blackbody temperatures 1keV soft X-ray and 3keV hard X-ray with the same energy flux of 300J/cm2 and pulse width of 100ns. The C/PF target presents two different thermodynamic patterns. Compared with 3keV hard X-ray, 1keV soft X-ray has a shallower energy deposition depth and a higher peak pressure of thermal shock waves. Furthermore, the irradiated surface under 1keV X-ray exhibits the phenomenon of vaporization while 3keV does not. Following the compression wave is a tensile rarefaction wave, the peak pressure of which is higher in the case of the 1keV. In addition to the phase transition and shock wave propagation in the direction of irradiation, the tensile fracture phenomenon appears in the side area of the target plate, and the effect is more significant under the irradiation of 3keV.
An optical fiber temperature/pressure sensor with dual-layer Fabry-Perot cavity structure for sensitivity enhancement
Authors: Wang Jun , Ma Yixiao , Song Ming , Wang Guanjun , Huang Mengxing
Published: April 2021

The multiple transfer method was used to fabricate two kinds of dual-layer composite structures for analysing the response of the dual-layer Fabry-Perot cavity structure. It’s proved that the sensitivity can be enhanced more than 20 times by optimizing the film layer parameters and combination methods of the dual layers.
Research on Banking Process Optimization Based on RPA in Financial Sharing Mode
Authors: Zhou Siyuan
Published: April 2021

In recent years, the ‘Internet+’ business model and the rapid development of big data have brought serious challenges to commercial banks. The emergence of online financial products has made the market competition increasingly fierce. China Merchants Bank, as one of the few joint-stock commercial banks in my country, the original financial business management model can no longer adapt to the development of the market, and the business process urgently needs to be transformed and upgraded. Based on the financial sharing center and robot process automation theory, the paper optimizes the accounting business process of China Merchants Bank, changes the old way of accounting, makes it more streamlined and unified, and realizes the timely, convenient and accurate accounting. The finance department can also make better use of accounting information resources to solve a series of financial problems in the process of business development, and achieve comprehensive control of business development through the shared central platform to improve the overall efficiency of banking business financial work.
Research on the Application of Intelligent Technology in Low Voltage Electric Automation Control System
Authors: Nie Gaosheng , Xu Yibo
Published: April 2021

Based on the background of intelligent technology, the paper describes in detail the architecture and main functions of the electrical automation control system, including data collection, information transmission, electrical control, etc., based on the principles of stability and scalability in the design of low-voltage electrical automation control systems. Design and implementation of the thesis is to explore the performance of the designed system and select the application examples of the electrical automation control system for analysis. The research results show that the electrical automation control system we designed meets the requirements of artificial intelligence regulation and can effectively improve the safety of the system.
Comparative opto-electronic properties of perylene diimides derivatives with cyclization and high polarizability cores
Authors: Zhu Wenhuan , Liu Xiaodong , Ni Hongyu
Published: April 2021

Recently, perylene diimides (PDIs) show great application potentials in the field of organic opto-electronics, which can be widely used in OLEDs, OPVs, OFETs, etc. In order to obtain more efficient PDIs derivatives, there are two typical methods including cyclization and high polarizability cores. However, numerous valuable molecules cannot be experimental synthesized easily, which are available for theoretical prediction via simulation and calculation. Therefore, we design four model molecules of PDIs derivatives, whose opto-electronic properties are calculated by the DFT method afterwards. By comparing simulation results, we can further extend the comprehension of structure-property relationships of PDIs, which is beneficial to the high-efficiency PDIs derivatives design.
A design of L-band second harmonic power amplifier
Authors: Chao Guo , Fei Yang
Published: April 2021

In the recent years of rapid development of communication technology, the transmission power and efficiency of RF signals are required for much higher level. As a key part of the transmitter, the performance of the power amplifier is considered a crucial part of the overall performance of the system. Compared with the traditional power amplifier, better performance can be achieved by the second harmonic power amplifier in the large signal state, and higher efficiency can also be obtained. A design of an L-band second harmonic power amplifier is proposed in the article. CREE’s gallium nitride transistor is selected for simulation through ADS software, and a drain efficiency of more than 70% can be achieved in the final test.
Inspection technology of remote transmission towers based on a vertical take-off and landing fixed-wing UAV
Authors: Wang Mingxin
Published: April 2021

Transmission towers in remote areas are located in a complex terrain, usually far away from roads, making it difficult for inspectors to approach to deploy auxiliary inspection equipment. Therefore, inspection tasks for such transmission towers have become a time-consuming and laborious hard bone. In response to this problem, this paper proposes a new, safe and efficient form of inspection operations based on a vertical take-off and landing unmanned aerial vehicle (VTOL) which is equipped with a strap-down lateral imaging module to assist in the inspection of electrical towers. Based on the known longitude and latitude information of transmission towers, the inspection route is pre-planned offline. When the VTOL reaches a certain transmission tower, it can be controlled to hover around the center point of the transmission tower at a fixed height. The strap-down lateral imaging module could obtain image information of the transmission tower to monitor the status of the transmission tower. In addition, line-of-sight angles of the center point of the transmission tower in the image can be extracted to help to adjust the height and radius of the VTOL hovering around the transmission tower, so as to achieve the most effective inspection of the transmission tower with a low-cost strap-down industrial camera. The algorithms of the scheme in this paper have been implemented in reliable hardware modules. The scheme has the capability of an actual flight inspection.
Research on Intelligent Monitoring System for Automatic Sprinkling of Intelligent Power Control Park
Authors: Meng Bin , Ji Xinyang , Hu Gaoshan
Published: April 2021

Based on the analysis of the traditional automatic sprinkler maintenance methods in parks, the paper proposes the use of photovoltaic power supply and remote controllable automatic sprinkler methods. On the basis of using solar power as the power source, batteries are used to store electrical energy. The paper also adopted distributed unit design in the design, which solved the layout problems of various parks with complex terrain. In the design, environmental and engineering factors are fully considered to make the design simple, reliable, and easy to construct. At the same time, the unit monomer was tested and verified, and the results showed that the process is simple, the data is reliable, and the production efficiency is high.
Leg-wheel composite wheelchair based on parallelogram mechanism
Authors: Deng Baoping , Dong Jiangyue , Chen Yuhe
Published: April 2021

with the aging society in China, the demand for wheelchairs is increasing for the elderly with mobility disabilities. At the same time, the number of people with physical disabilities caused by accidents and natural disasters is also rising. This paper designs a kind of electric wheelchair which can adapt to many kinds of terrain, which integrates climbing stairs, crossing obstacle function and safety and comfort to meet the living needs of specific people.
Analysis of “working together” based on momentum conservation
Authors: Chen Longyin , He Zengmin , Jiang Jiacheng
Published: April 2021

This paper systematically analyzes and evaluates the team players, concentric drum face, flexible rope and volleyball in the team game system of “working together”, and studies a series of problems including the optimal strategy and error adjustment of the team game. By looking for the mechanical connection of the system composed of players, concentric drum surface, flexible rope and volleyball, using the conservation of momentum theorem and differential equation, this paper gives an accurate mathematical description of the movement of each part of the system, and concludes that the necessary condition of the optimal strategy under ideal conditions is to make the forced vibration of the system reach resonance, that is, to keep the period consistent. Considering that the size and time of the players’ exertion will have an internal impact on the times of hitting the ball, this paper uses the analytic hierarchy process to objectively evaluate the relative weight of the two effects, and uses the weighted method to establish a comprehensive evaluation function to solve the optimal solution of the binary objective decision-making problem. In order to ensure the accuracy of the model, the influence of air resistance on the system is evaluated by hydrodynamics.
Discussion on grouting construction method and technology in civil engineering
Authors: Wang Peng , Li Yan
Published: April 2021

With the rapid economic development in recent years, the development of civil engineering has become more and more rapid. Therefore, in order to ensure the quality of civil engineering construction, it is necessary to reasonably modify the grouting construction method of civil engineering construction. By improving the grouting construction method, the quality of civil engineering can be guaranteed as much as possible. Therefore, this article mainly analyses and discusses the application of grouting technology in civil engineering construction. Through the analysis of the importance of grouting technology in civil engineering construction, we can further enhance the construction unit’s attention to grouting technology and promote the effective development of grouting construction technology in civil engineering.
Research on Application of Machine Learning Technology in New Material System
Authors: Wang Jiaoyu , Zhang Daxiu
Published: April 2021

Materials are not only the foundation of the national economy, but also the carrier of high-tech. Machine learning combined with computer science, database theory, statistics, computational mathematics and engineering cannot only show faster calculation speed and reliable predictive ability, significantly improve the efficiency of material calculations, and it can also effectively deal with some systems and problems that are difficult to use traditional simulation computing methods. This article will briefly outline the basic principles of machine learning, introduce several typical algorithms in machine learning models and how machine learning is the application progress in the research of new materials, and the prospects for the future development of machine learning in the field of materials science.
Application of the Principles of Landscape Ecology in Land Consolidation Engineering
Authors: Xiong Yufei
Published: April 2021

Through the application of land consolidation, can greatly improve the rural land pattern, so that its land use efficiency can be continuously improved, which has an important role in the improvement of people’s living standards, is the current we must pay attention to the content. But from a practical point of view, in the practice of land consolidation, there are still a variety of problems, many ecological environment related factors are not paid attention to, resulting in many unnecessary losses, hinder the sustainable development of the economy. As a new interdisciplinary subject, the application of landscape ecology in land consolidation can play a huge role, which is the necessary guarantee to improve the effect and value of land consolidation.
Application of Fractal Theory in Concrete Research
Authors: Zhang Yichao , Zhang Zhongren , Zhou Jinghai , Zhao Liang , Liu Jiaxi
Published: April 2021

Fractal theory is a powerful tool to deal with chaotic and disordered phenomena and behaviors in nature. In recent years, it has been widely used in the research of concrete internal structure, and has achieved a lot of remarkable results. This paper introduces the origin and definition of fractal theory, summarizes the application status of fractal theory in the research of concrete pores, cracks and aggregates, analyzes the existing problems in the current research, and looks forward to the future development trend.
Application of BIM Big Data in Construction Engineering Cost
Authors: Huang Xinyao
Published: April 2021

At present, BIM technology is applied in China to improve the level of project management, and it is an irreversible trend to popularize BIM technology in the construction industry. In the era of big data, project cost management has also become a refined management with the development of technology. Therefore, BIM technology improves the frequency of using big data in project cost management, thereby reducing project management costs and improving project value. BIM technology has been widely used in construction cost management, so we will make an in-depth study on the application of BIM to construction cost based on big data construction projects.
Research on Random Modelling of Computer Multi-sample Redundancy in Nonlinear Mathematics Stochastic Finite Element
Authors: Sun Jie , Han Yunna
Published: April 2021

The stochastic problems of engineering structures are generally simulated by stochastic finite element method. Based on the non-linear mathematical random method, the paper proposes the concept of multi-sample redundancy based on Bayesian network and the concept of redundancy compression algorithm. A Monte Carlo stochastic finite element method based on Bayesian network redundancy compression algorithm is established. The modelling process of Bayesian network redundancy compression algorithm is explained in detail through two examples. The Bayesian network redundancy compression algorithm model provides a new strategy for multi-sample system reliability analysis, which can conveniently implement system reliability calculation, fault diagnosis, importance analysis and other applications. If the constructed Bayesian network redundancy compression algorithm satisfies that all non-root nodes have two parent nodes, the reliability solving process of the multi-sample system only needs O(Nm3) computational complexity.
Difference analysis of in-service hydrostatic test for second and third generation PWR
Authors: Zhang Zhenguo , Feng Huixing , Zhao Weihua , Li Maochao
Published: April 2021

Hydraulic test of nuclear power plant is an important part of in-service inspection of nuclear power plant, and it is one of the important technical means to test the pressure bearing capacity of equipment. In this paper, the technical requirements of the second generation PWR based on safety classification and the third generation reactor based on radioactive release classification are discussed from the aspects of equipment classification, primary circuit hydrostatic test, steam generator secondary side hydraulic test, hydrostatic test of vessel and pipeline, as well as the difficulty of implementation in hydrostatic test.
Comparative analysis of the efficiency of manual adjustable pitch propeller and fixed pitch propeller based on dual-scale coupling
Authors: Ma Xu , Wang Chengjun
Published: April 2021

In order to solve the problem of ship, engine, and propeller mismatch between the first manufacturing of a new type of ship and the long-term service of the ship, the idea of dual-scale coupling simulation is used to establish the meso-scale and macro-scale mathematical model of a manually adjustable pitch propeller. The thrust coefficient and the torque coefficient are the coupling points. A comparison calculation between the manual adjustable pitch propeller and the fixed pitch propeller is carried out on a small ship as an example. The results show that the manual adjustable pitch propeller could compensate for the efficiency deviation caused by the fixed pitch propeller design; When the ship’s resistance increases or the ship’s main engine power decays, the measures of adjusting the pitch and turning angle of the blades could effectively improve the efficiency of the propeller and the ship’s speed, which indicates that the manual adjustable propeller has better adaptability than the fixed pitch propeller.
Parameterized Structure Design of Giant-magnetostrictive Disc Brake
Authors: Chu Changbao , Xu Qing , Jia Xingjian , Zhang Xingwang , Xiao Yue
Published: April 2021

Brake is one of the important components of automobile braking system. The speed, safety and stability of its performance are the important evaluation indexes of automobile braking system. The existing brakes have some shortcomings in these aspects. The paper designed a new type of disc brake, which has the advantages of faster response speed, stronger reliability and simpler structure compared with traditional brake. At the same time, it provides a new idea for the design of disc brake.
Simulation Research on Roll Forming in Container Roof
Authors: Liu Huamin , Li Shefei , Cao Junjie , Wang Jing
Published: April 2021

The finite element simulation of the roll forming process of the container roof is carried out, and the stress, strain, and history curves of key nodes are analyzed. It is proved that the rolling process will produce edge wave and wrinkle defects in the flat section, and the influence of parameters on the edge wave wrinkle is studied. Studies have shown that: the length of the transition section increases, the number of wrinkle decreases; the distance between the arches increases, which suppresses the generation of side wave defects, but after more than 350mm, the effect on the side wave remains unchanged; the width of the sheet edge increases, and the side wave defects follow the increase.
Design and comparison analysis of powder metallurgy press manipulator
Authors: Zhang Hua , Zhang Liguo , Zhao Lei , Hu Lai
Published: April 2021

In the powder metallurgy pressing process of a certain company, when processing sharp-angled parts, it uses the chute type reclaiming method, which will cause bumps on the workpiece. In response to this problem, an integrated reclaiming manipulator was designed. The overall structure of the manipulator, pallet silo structure, manipulator structure, robot servo motor selection calculation, reclaiming silo structure, pneumatic system, overall electrical control, PLC program, Detailed design of man-machine interface. Through the operation test, the reclaiming manipulator can well meet the needs of the enterprise, operate stably and reliably, reduce labor, improve product quality, and increase production efficiency.
Study of needle seeding machine vibration system
Authors: Tian Wei , Song Bowei , Du Ren
Published: April 2021

Make analysis of the vibration system in the needle tray seeder and make plate’s vibration simplified as a single degree of freedom spring damping system under harmonic excitation forced vibration. Get the amplitude frequency characteristics of plate vibration. Make analysis of seed vibrating in the air, get the condition that seeds to be absorbed.
Research on intelligent integrated shoe cabinets
Authors: Xu Jingfeng , Cao Xuewei , Wang Chengzhi
Published: April 2021

The invention designs a smart storage shoe cabinet for the existing home storage shoes, which can bring convenience to the family to access the shoes. Mainly divided into storage module and shoe rack module, the two are independent of each other, according to the size of the household and the needs of the household shoe cabinet, the storage module and drive module for combined deformation and unitization treatment.
Research on a small rice car for Southwest China
Authors: Xu Yanhua , Zhang Zhiyong , Lu Minxi
Published: April 2021

According to the special terrain of terraced fields in the southwest, a small integrated rice cart is designed, which consists of rice cutting device, rotating guide device, transmission device, rice beating device and vibrating screen device. The whole device is coordinated and cooperated with each other, which integrates rice cutting, rice feeding, rice beating and rice collection, improves working efficiency, reduces labor intensity and saves manpower and material costs. Rice cutting device, rice beating device, etc. can complete the whole process of rice cutting and collection, and thresh directly, so as to avoid the loss of grains caused by too many intermediate steps. The design of triangular wheel treads makes the rice cart convenient for cross-floor operation and more suitable for terraced terrain. The whole integrated rice cart not only breaks through the constraints of environmental factors such as terrain, but also avoids the complicated process of manual rice harvesting. Moreover, the device is relatively small in size and quality, has strong adaptability, improves the efficiency of harvesting rice, reduces the labor intensity, avoids the loss of seeds caused by intermediate processes such as transportation operations and field operations, and has good energy saving and emission reduction benefits.
Air Water Collector based on Chimney effect
Authors: Zhou Changqing , Liu Zichuan , Yun Hanfang , Zhang Zeling , Cao Xuewei , He Shiji
Published: April 2021

The main research content of this project is the water recovery efficiency of the hot-pressure-driven air water-taking device when the phase-change material is used for energy supply, and combined with the research process, an automatic water-taking device using desert temperature difference and phase-change material storage is designed. At a time when energy sustainability is of great concern, we must make the development of green energy a core goal. Among them, solar energy as a green non-polluting new energy, its development and utilization is an important research topic and direction. The desert areas have plenty of solar energy and enough temperature differences to take advantage of these two resources and combine the lack of fresh water in the area. The purpose of this project is to design a device that uses phase-change materials to store heat to provide heat pressure, guide air directional flow, and use high-efficiency coaxial water collection sails for air water collection, with less human and material input, to obtain the fresh water necessary for life. And from the theoretical and physical level to demonstrate its feasibility, explore the direction of marketing.
Multi-stage Vibrating Screen Mulching Film Removing Device Based on Plastic Thermoplastic Principle
Authors: Zhang Zhiyong , Lv Shaowei , Xu Yanhua
Published: April 2021

In view of the increasingly serious agricultural white pollution, this project has designed a multi-stage vibrating screen film removal device based on the principle of plastic thermoplasticity. The whole is installed behind the seeder body and works in cooperation with the seeder. The device is composed of a film gripping module, a deep turning module, a crushing module and a graded vibrating screen module, and realizes the process of bringing out the film in the soil, crushing it, fining it and finally collecting it. At the same time, according to the state of the recovered film, a graded vibrating screen module is designed. The first-stage vibrating screen can transport the soil and film to the second-stage vibrating screen device, and the second-stage vibrating screen device separates the film by using the thermoplasticity of the mulching film by heating, so that the film can be better separated and recovered. The novel high-efficiency mulching film removing device can avoid the problem of low efficiency of traditional manual recovery. Compared with the existing device, it improves the rate of removing mulch film, effectively reduces the influence of residual mulch film on the environment, lightens the white pollution, and has good energy saving and emission reduction benefits.
Research on Assistive Devices for the Elderly to Urinate and Defecate
Authors: Yan Zhen , Cheng Tianyi , Zhou Jie , Cao Cong , Tao Ye , Xu Yufeng , Wang Zihan , Shao Xinzhe
Published: April 2021

At present, the aging problem is becoming more and more serious, the number of empty nesters living alone is increasing, and the toilet falls of the elderly often occur. The existing protective device has single function, insufficient protective effect and low humanization. To this end, we designed a humanized device to assist the elderly living alone in toilet and daily activities..
Research and Application of Comprehensive Evaluation of Engineering Sweet Spot in Block LX
Authors: Zhang Liang , Li Yu , Yang ShengWen , Zhao Zhanjiang
Published: April 2021

Block LX is a tight sandstone gas reservoir with low porosity and low permeability, and there are the problems of a sharp decline in production and a poor utilization degree of superimposed reserves in the longitudinal gas bearing sand body within a few years after the initial fracturing, which leads to the difficulty of gas field production replacement under the condition of high comprehensive decline rate. By analysing the effect of reservoir characteristics and rock mechanical properties on volumetric fracturing, combined with geological logging data and rock mechanics experimental data of tight sandstone reservoir in Block LX, the paper tries to study the adaptive effect of volumetric fracturing technology in Block LX. The adaptability of volumetric fracturing is evaluated by software simulation of fracturing effect to determine the optimal fracturing construction parameters before the volumetric fracturing gas test is carried out on three wells. The gas test results show that the daily gas production is increased by more than 46.01% compared with that before volumetric fracturing, and the fracturing effect is good. Therefore, it is feasible to use volumetric fracturing technology to overcome the difficulty of low permeability and low gap in Block LX to improve gas production.
Development of processing maps for DC cast 7065 aluminum alloy
Authors: He Kezhun , Tan Zimeng , Zheng Xu , Zhang Xinming , Chen Biao , Zhou Kechao
Published: April 2021

The deformation behavior and microstructure evolution of DC cast 7065 aluminum alloy was studied in the temperature range of 340-460 °C and strain rate range of 0.1-8 s-1. Processing maps were developed to evaluate the efficiency of the hot deformation and to identify the instability region. The results show that the optimum range of processing conditions are in the strain rate range of 0.01-0.1 s-1 and temperature range of 380-410 °C, where the efficiencies are much higher when compared to other regions. The peak efficiencies for the 7065 alloys is evaluated in the region of T=380-460 °C and ε=0.01-0.1 s-1. Recrystallized grain was observed under these deformation conditions. The dynamic softening is more pronounced at higher deformation strain rate and deformation temperature.
Precision Distribution of Turntable Gear Transmission System of Aero-engine Blade Processing Machine
Authors: Xiong Fengkui , Zhang Ming , Yin Yihui , Liu Kang
Published: April 2021

In the previous design and research on the gear transmission error of the five-axis machine turntable, the selection of the five-axis machine tool turntable gears mainly uses the high-precision gears to avoid excessive transmission errors of the turntable, to meet the design requirements of the turntable. However, the cost of the turntable manufacturing is increased and it causes excess precision and unnecessary waste. In meeting the requirements of accuracy, it is important to distribute the gear transmission error of the turntable reasonably, to avoid the high manufacturing cost of the five-axis machine, improve the technical quality of the five-axis machine turntable and reduce its cost. This paper presented the self-developed five-axis machine turntable for aero-engine blade processing as the carrier, and the optimized genetic algorithm is used as the tool to allocate the precision of the gear transmission system. While to meet the design and use requirements, the gear accuracy level is reduced. The manufacturing cost of the turntable goes down.
An Optimal Model for Quality Inspection Station Setting
Authors: Li Qing
Published: April 2021

The quality of products depends on the process of product processing, so controlling the quality of products during processing is an important measure to ensure the final quality of products. The article aims at the problem of setting up inspection stations in the manufacturing process correctly. Through the analysis of the total cost and total processing time, taking the minimum total production cost and total processing time as the objective function, the optimization setting model of quality inspection station is established, and the particle swarm optimization algorithm is used to solve the model to determine the location of the inspection station in the product processing process and quantity. The effectiveness of the model is verified through the production process of automobile crankshaft as an example.
Dislocations arrangements in magnesium matrix composites
Authors: Zhang Xiuqing
Published: April 2021

Magnesium matrix composites reinforced with TiC particulates was successful synthesized by in-situ synthesis method. The dislocation arrangements in the composites have been investigated. Compared to magnesium alloy, there is high dislocation density in the composites. Besides dislocation network, dislocation pile-ups have been found in α-Mg and β-Mg17Al12 phases. They are confined in the slip planes, and some of them pile up against the grain boundaries. The dislocation arrangements in the composites are due to the addition of TiC particulates. Moreover, the compound twin reveal in the casting composites, which is beneficial to the deformation behavior of the composites.
Intelligent integrated multifunctional vegetable cutter system
Authors: Huang Yi , Xu Junze , An Yida
Published: April 2021

With the continuous development of the Internet of Things technology, people’s requirements for quality of life are gradually improving. However, cutting vegetables is still a manual work with low efficiency. Food processing has many shapes, high requirements, time-consuming and labor-consuming, and there is a certain risk factor. Therefore, a new type of vegetable cutter is designed. After the objects are loaded in the feeding box, they are conveyed and fixed, so that the device can automatically press, cut and drive vegetables, and make artificially desired slices, filaments, blocks, peels and the like according to different requirements of dishes, which is small in size, low in noise, safe and convenient.
Cable deicing device based on ice melting and mechanical ice breaking
Authors: Yu Tianxiang , Qiao Lingfeng , Liu Xu
Published: April 2021

In recent years, it is not uncommon for high-voltage cables to freeze and break due to extreme weather, which has a great impact on power transmission and caused countless economic losses. At present, the de-icing methods on the market all have certain limitations. Therefore, this paper designs a de-icing device that uses thermal ice melting and mechanical ice breaking at the same time, which can reduce the difficulty of ice breaking and damage to cables by heating ice layers, and spray special coatings to prevent icing again after ice breaking. This device has higher adaptability to cable de-icing and can better meet the needs of de-icing.
Mechanical test of thermoelectric device in RTG prototype
Authors: Liu Yang , Wu Chunyu , Li Yang , Yang Shuaifei , Wang Shuyang , Dong Yu , Liu Shichao , Jin Yang
Published: April 2021

Since the United States launched the first space radioisotope thermoelectric generator (RTG), the United States has launched a total of 28 spacecraft with 43 RTGs. There are still more than 30 RTGs in orbit, and the longest working life has exceeded 30 years. During the launching process of RTG, the thermoelectric energy converter needs to withstand the impact at start up and high-frequency vibration during flight, and it faces the harsh service conditions that heat, force, electricity and other external fields are used and coupled together. For this reason, this paper has carried out environmental test verification on the designed RTG prototype through vibration and shock tests. By applying shocks of the same magnitude as the launch and vibrations of the same magnitude during flight, it is found that the thermoelectric devices loaded inside are in the experiment. There is no obvious change in the internal resistance before and after, indicating that the installation method can withstand the complex mechanical environment test during launch, which provides a reference for RTG’s thermoelectric device loading method.
The floaters for submarine-cable landing and its engineering applications
Authors: Zhang Zhigang , Zhang Ping , Ding Zhaogang , Gong Yanqiang , Zeng Hao , Liu Zhen
Published: April 2021

The floater can be employed to provide additional buoyancy to the submarine cable during its landing to ensure its routing and connection with the onshore connectors. With the update of the voltage-class of the submarine cable, to ensure the efficiency and quality of the landing operations, the floater has been changed from the traditional waste tires to the new types of pre-fabricated floaters. In this paper, the characteristics of different floaters will be introduced and compared with the engineering applications. The development trends of the floaters for submarine-cable landing are proposed.
Energy-Saving and Environmental-Friendly Gymnasium Project Evaluation Research
Authors: Zhang Aiping
Published: April 2021

As a complete urban space individual, the gymnasium must be considered to build energy conservation and environmental protection requirements. Based on this research background, the thesis analyzes whether it can be energy-saving and environmentally friendly by exploring natural ventilation technology and intelligent lighting for green buildings, using CFD and airpark combined with thermal comfort and body temperature. Research has shown that through the CAN bus intelligent lighting system, combined with the opening and closing of the building gymnasium roof to meet the ventilation conditions, the gymnasium’s necessary energy-saving and environmental protection can be realized.
Research on Blocking Time Problem Based on Fuzzy Comprehensive Evaluation Method
Authors: Dai Peng
Published: April 2021

In this paper, we use the first-level fuzzy comprehensive evaluation, entropy method and other algorithms to establish a correction optimization theory based on GPS measurement speed inaccuracy, which is aimed at the problem of inaccurate estimation of vehicle speed when GPS speed is slow. A first-level comprehensive fuzzy evaluation model, an entropy value estimation weight model and a modified optimization model for calculating the maximum traffic volume are constructed. The relationship between the evaluation index data is skillfully used to solve the problem, and the blocking time at different peak periods is obtained. The relationship between the four factors affecting the evaluation criteria, the weighting value of each factor in the degree of congestion and the. actual time of the model after optimization, and finally the perfect prediction of the GPS to measure the speed of the vehicle is too slow. The deviation rate of the predicted value will give the relationship between the actual predicted value and the predicted value
An Efficient Heuristic Algorithm for Solving 0-1 Knapsack Problem
Authors: Yang Hong , Guo Xiong
Published: April 2021

The model for 0-1 knapsack problem based on greedy strategy and expectation efficiency has some advantages, e.g., quick convergence and low complexity, but it also inherently exists some limitations to be enhanced and improved, such as the restricted greedy and the overmuch calculation on expectation efficiency. To this end, an efficient algorithm is proposed to optimize the previous model. At first, the greedy degree is maximized, that is, some items are permanently loaded into knapsack in advance as many as possible. Then, the conventional expectation efficiency model is improved greatly, at the same time, the number of calculations with respect to expectation efficiency is decreased by ignoring some unnecessary items. Compared to the previous algorithm, the experimental results reveal that the proposed optimization algorithm has the significant advantages in time.
Research on Commodity Recommendation System Based on Deep Learning
Authors: Qian Chenyue , Jin Yanjuan , Teng Xiaobing
Published: April 2021

The traditional matrix factorization model cannot effectively extract the features of users and items, but the feature information can be extracted well based on the deep learning model. At present, the mainstream recommendation algorithms based on deep learning only make recommendation prediction in the form of the product of neural network output or item features and user features, and cannot fully mine the relationship between users and items. Based on this, this paper proposes a recommendation algorithm based on the combination of text convolution neural network and singular value decomposition (Bias SVD) with biased terms. The text convolution neural network (Text CNN) is used to fully extract the feature information of users and items, and then the singular value decomposition method is used to make recommendations to deeply understand the document context information and further improve the accuracy of recommendation. The algorithm is widely evaluated and analyzed on two real data sets of MovieLens, and the accuracy of recommendation is obviously better than that of ConvMF algorithm and mainstream deep learning recommendation algorithm.
The Intelligent Bookcase System Based on RFID Positioning Technology
Authors: Du Xiaolong , He Menghan
Published: April 2021

This paper introduces a kind of intelligent bookcase system based on radio frequency positioning technology, and introduces a kind of intelligent bookcase system by discussing the misplacing of books in the library in reality. This paper also introduces the related technology of intelligent bookcase system, and proposes and designs an intelligent bookcase system.
Smart Bookcase Based on Image Recognition Technology
Authors: Liu Jiaxin , Song Wei
Published: April 2021

In order to improve the efficiency of readers’ book borrowing and book management, research and create the intelligent bookcase, which is based on image recognition technology, supplemented by WeChat applet. Through the research on the relevant background and the technology used, we have inspired an intelligent bookcase based on image recognition technology, and made a prospect.
Players’ Value Prediction Based on Machine Learning Method
Authors: Zhang Daokang , Kang Caixin
Published: April 2021

It is important to predict football players’ value, especially during transfer period. This paper uses the player information and value data of the game FIFA 18 as data source. It is able to realize the prediction of its players’ best positions and values. After reducing the dimensionality of the value prediction model, a cluster analysis on the player’s position is introduced, and then grid search method is adopted to adjust the Xgboost parameters, Finally, Xgboost method is used to predict the player’s worth. The experimental results show that certain accuracy is achieved, but t there is still room for improvement in the accuracy of prediction. Discussions based on experiment results are made.
Research on Automatic Recognition of Pointer Meter Reading Based on Deep Learning Algorithm
Authors: Yan Xianwei , Wei Lai , Li Jing , Jia Gang , Yang Juan
Published: April 2021

With the rapid development of computer technology and intelligent high-performance hardware, deep learning algorithm plays an increasingly important role in society. The development of automatic identification method of instrument and instrument based on deep learning can effectively improve the working efficiency of the basic power grid operation and maintenance personnel, avoid personnel approaching the high-risk operation area, and ensure the continuous monitoring of the readings of key instruments all day. In this paper, a recognition algorithm of pointer types circular instrument based on deep learning algorithm is proposed. Gaussian filter and binary method are used to achieve better recognition effect, which lays a good theoretical foundation for further practical application.
Bank Loan Strategy Based on Evaluation and Decision Model
Authors: Ge Yiyuan , Song Haoran , Li Bingkuan
Published: April 2021

In real life, in the face of small and medium-sized enterprises lacking mortgage assets, banks usually provide loans to enterprises with strong strength and stable supply-demand relationship according to credit policies, transaction notes information of enterprises and influence of upstream and downstream enterprises, and can give preferential interest rate to enterprises with high reputation and small credit risk. In order to better meet the application of the model in real life, the enterprise loan mode is introduced, and the risk assessment of each loan mode is carried out according to the actual situation. Finally, the fuzzy neural network model is introduced. The enterprise loan mode and three secondary indicators are taken as the input of the fuzzy neural network. Finally, a three-level index: loan risk assessment is obtained. Using Python program to preprocess the data, the original indicators in the given materials are extracted as the first level indicators, and then on the basis of the first level indicators, the main factor analysis and other methods are used to analyze the characteristics and scoring of the second level indicators. Then, the entropy weight is established to obtain the higher-level index loan tendency, and the loan propensity and enterprise reputation are used as parameters to establish the decision-making Model, step by step to get the bank’s quota allocation, interest rate, and finally get the bank allocation plan. In order to supplement the unknown data, this paper uses the known information to forecast the whole process of the unknown quantity, and then uses the data to forecast. First of all, it forecasts whether the default occurs, adds the predicted value to the whole eigenvalue, then forecasts the reputation rating, and finally completes the reasonable supplement of location data. TOPSIS model, SPSS software simulation machine learning, Fisher discriminant analysis
RETRACTED: Cloud Intelligent Parking Management System Based on Internet of Things Technology
Authors: Yao Ru , Yang Jinhua , Liu Meizhen
Published: April 2021

In recent years, with the rapid development of the national economy, the penetration rate of domestic private cars has risen rapidly. There are too many cars with fewer parking spaces, so many people choose to park their cars on roads. It has caused traffic jams and brought security risks, finally it puts a huge pressure on vehicle management. It requires more parking lots and more effective and convenient parking management and operation methods to improve the service level of parking lots [6]. It is necessary to design an intelligent parking system based on the Internet of Things technology and cloud platform to achieve the highest utilization of space resources and the largest allocation rate of personnel deployment. The intelligent parking lot management system of the Internet of Things is designed and developed to meet the goals of enterprise informatization management and efficient operation and implementation. The web platform conducts the joint operation of users and administrators to realize online reservation, parking at any time, and online payment for car pickup at any time.