bluuebunny/crossref_metadata_2025_split huggingface dataset:
Control System and Algorithm of Sewage Treatment Plant Based on Artificial Intelligence
Authors: Liu Yunzhu , Cao Jinbao 
Published: November 2021

Abstract
With the improvement of people’s awareness of environmental protection in recent years, the related problems of water pollution treatment have gradually come into people’s view. As the source of life, water accounts for a huge proportion in our lives, but at the same time, water pollution is quietly spreading in places we don’t know. The continuous discharge of heavy industrial wastewater, agricultural wastewater and domestic sewage leads to increasingly serious water pollution. Sewage treatment(ST) is imperative, and its social benefits are huge, but the corresponding cost is high, and the return on investment is low. Traditional ST methods can not load large-scale ST. How to carry out ST based on artificial intelligence(AI), build ST plant control system, and make ST enter the era of automation is the problem to be solved. The purpose of this paper is to put forward the reform of control system for ST plant based on AI, apply AI into ST, and realize the automation and precision of ST plant. This paper mainly uses the fuzzy self-tuning PID control system algorithm, through the analysis of ST control object, analysis of fuzzy self-tuning PID controller design to complete the ST control system settings. In this paper, the literature review method and data analysis method are used. By collecting relevant data, the control system of ST plant is constructed to simulate ST, and the real-time data of ST is analyzed. The traditional PID control and fuzzy self-tuning PID control are compared. The experimental results show that the wastewater treatment plant system based on AI input, in the aspect of wastewater treatment, the concentration of COD and BOD in the treated wastewater are reduced by a certain proportion, the dissolved oxygen content in the wastewater reaches about 2.0mg/l, which meets the national discharge standard, and its rising time is reduced to 25 seconds, and the adjustment time is saved by 50 seconds.
Construction of Sports Recognition System Based on Sports Visual Image Technology under the Background of Information Technology
Authors: Zhang Shubing 
Published: November 2021

Abstract
With the development of the times, sports competitions are sought after and favored by more and more people, and the judgment of athletes in the competition is becoming more and more strict and standardized. The further development of Internet technology and information technology has provided great convenience for the effective recognition of athletes’ movements in sports competitions. This article aims to study the background of information technology, through the use of sports visual image technology to design and construct an action recognition system, in order to efficiently and accurately identify and judge the various movements of sports competitions, thereby effectively reducing various manpower and the cost of material resources, while improving the accuracy of the competition results. In the experiment, this article invites 100 volunteers to participate in the system’s behavioral test recognition. The volunteers’ simple exercises such as jumping, raising hands, kicking, turning and squatting are tested, and the result is the exercise designed in this article. The recognition system is able to recognize five sets of actions in the experiment, among which jumping is 97.66%, kicking is 98.13%, squatting is 97.62%, raising hand is 95.24%, and turning is 96.43%. Research shows that the motion recognition system based on sports visual image technology designed and constructed in this paper has high motion recognition accuracy and can recognize athletes’ movements scientifically and effectively.
Automatic Control of Electronic Information Transmission Integrity Considering Gabp Neural Algorithm
Authors: Tang Lin 
Published: November 2021

Abstract
With the rapid development of the economy and society, information has become an essential social resource and creates wealth continuously. However, open electronic information can be easily lost during transmission control. In this paper, the state of the information network is determined through a series of indexes based on the GABP neural algorithm. At the same time, the rate of information transmission is adjusted based on the state of the information network through self-adaptation, and the integrity of information transmission is controlled by the genetic particle swarm algorithm. Based on reasonable control of the integrity of information transmission, the research on the automatic control technology of open electronic information transmission integrity is accomplished under the condition that the bandwidth and response delay indexes are meeting. The study results indicate that the neural algorithm based on the GABP network can automatically control the electronic information transmission integrity and improve the reliability of information transmission effectively.
Design of Early Warning Platform for College Students’ Achievement Based on Data Mining
Authors: Mao Yuanfu , Yu Zhifeng 
Published: November 2021

Abstract
With the acceleration of the application of information technology in Colleges and universities in China, the efficiency of higher education is constantly improving. The focus of teaching management in Colleges and universities is to continuously improve the teaching level of colleges and universities, and the key is to strengthen the management of students’ performance. Performance warning is a form of student performance management. In recent years, data mining technology is more and more mature, and its application is also very wide. Many students have applied data mining technology to university management. In this paper, we apply data mining technology to college students’ performance early warning, and use Apriori algorithm in association rules to design and build college students’ performance early warning platform, and select two classes of students as the research object to verify. In this study, we choose the English course scores of two classes as the test data, and define the performance warning, which is based on the score below 60. The results show that six students in class a will be subject to performance warning, while seven students in class B will be subject to performance warning. In addition, the performance early warning platform designed by this method, the early warning accuracy rate is as high as 92.85%, the accuracy rate is high, has certain application advantages.
Design of College English Halving Classroom Teaching System Based on Big Data
Authors: Chen Guilan 
Published: November 2021

Abstract
With the development of big data and the continuous advancement of education informatization, the single lecture-based classroom teaching model no longer meets the development requirements of the society for the development of talent education and training. Under the environment of big data technology, how to innovate teaching models and talent training models becomes the focus of the current classroom teaching reform. This article aims to study the design of the college English bisection classroom teaching system based on big data. On the basis of introducing the bisection classroom, the basic theory of teaching system design and the design principles of the bisection classroom teaching system, the theoretical analysis and top-level design of the system login module and the teaching system that adaptively integrates teaching resources according to the status of college students are carried out. Finally, an experimental test of the college English split-class teaching system based on big data has been carried out. The test results show that the system can realize the core of system management, teaching resource release and dynamic configuration.
RETRACTED: The Design of College English Teaching Platform Based on Artificial Intelligence
Authors: Huang Xuxuan 
Published: November 2021

Abstract
Entering the 21st century, with the rapid development of the computer Internet, the transformation of the functions of schools in moral education and teaching management has been further strengthened, and the construction of educational information in my country has entered a new stage of comprehensive development. English teaching methods have also undergone changes. Following the reform of the Ministry of Education, we seize the opportunity to promote the further development of artificial intelligence in the field of education and provide convenience for college English teaching. The purpose of this article is to study the design of college English teaching platform based on artificial intelligence. This article introduces the development process of the intelligent teaching integrated service system in detail, and also details the system’s demand analysis, function design, and database design. This system can realize the comprehensive management of students’ grades and comprehensive intelligent services at the teacher level. The design of the integrated teaching service system of the platform is to serve many college students, provide teaching and management services, and provide college students with information and results and other information query services. Combining with the predecessors to establish a teaching platform for research, the various management systems they used, analyze the experience and shortcomings that these systems and the platform can learn from in actual teaching management services, and research and develop a set of intelligent teaching suitable for use by the unit Integrated service system. Experimental investigations and studies have shown that the most balanced function of each platform is the Max Intelligent Assistant, whose system averages about 33% in teaching, analysis, and correction. The analysis system of Yu Classroom accounts for the largest proportion of all platforms, as high as 40%. The teaching system is the best geek big data, with 40%. In general, learn from the above teaching platform design and improve it to provide learners with the most suitable teaching platform.
Symbiotic Exploration of Silage Machinery Based on Technological System Evolution
Authors: Lv Bing , Wei Hao , Li Yantao , Xue Zhenpeng 
Published: November 2021

Abstract
In order to make each functional module of silage machinery have a high degree of adaptability and meet the market demand of coordinated operation of each functional module, this paper preliminarily explores the symbiosis concept in the field of silage equipment, and applies the technology system evolution theory to the symbiotic design of silage equipment. In the design stage, the designers divide the functional modules of the silage machinery according to the market and user needs, and then analyze the symbiosis of the interrelated modules and screen out the functional modules with weak adaptability, so as to carry out the technical system evolution and optimize each functional module, and then establish the layout scheme between modules, so that the various functional modules of the silage machinery have strong adaptability, improve product quality, reduce design costs, shorten the design cycle, and realize the user’s demand for the coordinated operation of multi-functional silage machinery.
The Development Trend Research of Computer Monitoring Technology Optimization in Interior Design Planning
Authors: Wang Shiqi 
Published: November 2021

Abstract
With the further development of society, my country’s industry has further affected the environmental ecology, making environmental degradation more and more serious. In recent years, more or less haze has appeared near various industrial sites, making the air more and more severe. Muddy, people’s lives cannot go on normally. Nowadays, people work indoors most of the time, so indoor environment and air quality will directly affect the health of the body. Therefore, it is very important to carry out research on indoor air quality monitoring, especially in offices, classrooms, shopping malls and other spaces. Closed and crowded places. There is a need for an indoor computer monitoring system that can grasp the environment of multiple rooms in the room in real time to achieve the purpose of monitoring and early warning. The purpose of this article is to study the development trend of computer monitoring technology optimization in interior design planning. This article through the in-depth study of computer monitoring technology, analysis of the current advanced computer monitoring core technology, combined with my country’s contemporary interior design planning environment, to discuss the development and application of computer technology in interior design planning. And through the research and analysis of these development applications to explore the necessity of upgrading my country’s indoor environmental monitoring system. This article will take the application of computer monitoring technology in interior planning and design as the research object and conduct research and analysis through literature method, questionnaire survey method and mathematical statistics method. Investigation and research show that Zigbee technology is used by most people. Compared with other wireless network computer monitoring technologies, ZigBee has better power, distance and convenience. The excellent application of computer monitoring technology in indoor planning and design makes it very good to monitor some indoor values in people’s lives.
Modeling and Simulation of Ship-Borne Weapon Stabilization System Based On Double Position Loop Control
Authors: Dai Pu , Pan Jun , Cao Yan , Ma Qing , Du Manli 
Published: November 2021

Abstract
In order to solve the problem of increasing system cost and low control accuracy by adding gyroscope or inertial navigation system, a dual position loop control ship-borne stabilization system is proposed in the paper. The mathematical model is established to analyze the influence of ship rolling factors on the space pointing of single position loop weapon system. On this basis, the control strategy of double position loop is proposed, and the simulation structure and control method of inner position loop and double position loop are described respectively. The simulation results show that the method can isolate the factors of ship rolling, realize the closed-loop stabilization control of weapon system in geodetic coordinate without adding system hardware cost, and have good control effect as well.
Study on the Measurement Technology of Temperature Field at the Outlet of the Precooler in the Bleed air system of Civil Aircraft
Authors: Huang Xiaodan 
Published: November 2021

Abstract
In view of the phenomenon of uneven temperature field in the hot side outlet pipe of the precooler in the Bleed air system of civil aircraft, three thermocouple layout schemes were put forward. By comparing and analyzing the changes of the flow field in the pipe before and after the installation of the three schemes, the most effective scheme was determined. At the same time, the temperature uniformity before and after the mixing device at the outlet of the precooler is compared and analyzed, and the method of increasing the turbulence device to improve the accuracy of the average temperature measurement of the precooler is put forward.
Investigation of the optical properties of monocrystalline silicon with a deposited layer of spherical zinc sulfide nanoparticles
Authors: Egorova A V , Kochuev D A , Chernikov A S , Mikhalevsky V A , Kireev A V , Khorkov K.S. 
Published: November 2021

Abstract
In the present work zinc sulfide (ZnS) nanoparticles (NPs) were synthesized on silicon wafer by femtosecond pulsed ablation processing of ZnS bulk target using an electrostatic field in argon gas atmosphere. The morphology, size distribution and structural characterization of obtained ZnS NPs were investigated using scanning electron microscope (SEM), dynamic light scattering (DLS) technique and X-ray diffraction (XRD). Dominant size of obtained NPs lies in the range 10-20 nm, NPs are in spherical shape, particles of other shape and agglomerates of particles are absent. XRD investigation of synthesized NPs identified hexagonal wurtzite structure. There is a structural phase transition from the sphalerite ZnS bulk (target) structure to the structural phase of wurtzite (obtained NPs).The optical characterization of synthesized by laser ablation ZnS NPs was carried out using a photoluminescence (PL) measurement. ZnS NPs show a strong broad PL emission spectra covering the entire visible electromagnetic spectra region (range from 380 to 800 nm) centered at 513.7 nm.
Research of deformation compensation method in laser metal deposition process of 316L stainless steel product
Authors: Kovchik A , Babkin K , Vildanov A 
Published: November 2021

Abstract
It is exists the problem of big product manufacturing with minimal dimensions tolerances. To solve this problem it is necessary to compensate the deformations influence. In researching of method, it became clear that deformation degree has changed and depended on size and form of part. However, the amount of deformation degree to dimension of part is still independent of size. This fact has observed after production of axis-symmetrical parts. The simple axis-symmetrical part was built up. The dimensions of part was measured, and the compensation coefficient was calculated. The dimensions of part was scaled on this coefficient for compensation of shrinkage effect. After that the experiment was repeated.
Investigation of the surface overhanging elements of parts manufactured by the SLM
Authors: Oparin E S , Voznesenskaya A A , Kochuev D A , Raznoschikov A S 
Published: November 2021

Abstract
The work considers the task of modelling the mode of thermal action on the system of solid material and one aluminium granule. To improve the properties of synthesized parts and decrease porosity of the surface overhanging elements optimal processing parameters were calculated. The paper shows the result of modeling and predict surface roughness and porosity with four parameters pair of scanning speed and laser power.
Hybrid technology for manufacturing lightweight products with a cellular structure made of aluminum alloys
Authors: Roslova A A , Izotov V A 
Published: November 2021

Abstract
This article is devoted to one of the new directions of creating and obtaining porous materials. The cellular material part is a new element that provides high specific strength of the structure in combination with low density. An urgent task is to develop and obtain a cellular structure with optimal geometric parameters to ensure maximum manufacturability of the structure. The obtained data can be used in the development of technological processes of hybrid casting technologies, as well as for the manufacture of new lightweight parts with increased specific strength characteristics.
Solving flow shop scheduling problem based on improved non-dominated genetic algorithm
Authors: Wang Tiankui , Ji Chunlei , Hao Yuanfeng , He Jianli 
Published: November 2021

Abstract
Aiming at the multi-objective problem of flow workshop problem, a multi-objective optimization model was constructed and an improved non-dominated sorting genetic algorithm was proposed. Firstly, aiming at these problems, this paper proposes a two-stage chromosome coding method to adapt to the new production scenarios. Secondly, a new adaptive method is proposed to improve the convergence speed and the superiority of Pareto solution set. Finally, simulation results show that the optimality of the improved non-dominated sorting genetic algorithm is improved greatly.
User Deep Energy Efficiency Evaluation via Load Perception and Clustering
Authors: Zhai Shuran , Zhang Zhaojie 
Published: November 2021

Abstract
With the constantly upgrading of the living level of urban residents, the types and quantities of domestic appliances continue to increase, and the electricity consumption behaviour is becoming more and more complex. Based on the fine-grained user energy consumption data obtained by load intelligent perception, this paper proposes a user energy efficiency evaluation method through fuzzy comprehension evaluation. First, the energy consumption characteristics at appliance level which can effectively represent energy consumption behaviour of users are designed and filtered, and then the energy efficiency evaluation strategy of appliances based on fuzzy comprehensive evaluation is established. The strategy adopts two-level fuzzy comprehensive evaluation. The first appliance-level fuzzy evaluation realizes the energy efficiency evaluation of the appliances. The second level is the comprehensive evaluation of user energy efficiency based on the appliance energy efficiency assessment, and the target users are divided into different energy efficiency levels. The measured data-based analysis results prove the effectiveness of the proposed method, and the results can guide users to optimize their electricity consumption behaviour scientifically and realize energy saving and carbon reduction.
Pedestrian detection algorithm based on improved muti-scale feature fusion
Authors: Liu Hui , Cheng Keyang 
Published: November 2021

Abstract
Aiming at the problem of false detection and missed detection of small targets and occluded targets in the process of pedestrian detection, a pedestrian detection algorithm based on improved multi-scale feature fusion is proposed. First, for the YOLOv4 multi-scale feature fusion module PANet, which does not consider the interaction relationship between scales, PANet is improved to reduce the semantic gap between scales, and the attention mechanism is introduced to learn the importance of different layers to strengthen feature fusion; then, dilated convolution is introduced. Dilated convolution reduces the problem of information loss during the downsampling process; finally, the K-means clustering algorithm is used to redesign the anchor box and modify the loss function to detect a single category. The experimental results show that the improved pedestrian detection algorithm in the INRIA and WiderPerson data sets under different congestion conditions, the AP reaches 96.83% and 59.67%, respectively. Compared with the pedestrian detection results of the YOLOv4 model, the algorithm improves by 2.41% and 1.03%, respectively. The problem of false detection and missed detection of small targets and occlusion has been significantly improved.
Research and Design of Adaptive Networking Method Based on LoRa
Authors: Zhang JianMin , Dai YaWen 
Published: November 2021

Abstract
An adaptive networking method based on LoRa(Long Range) technology is proposed. The data transmission of wireless sensor networks widely used in the Internet of things is studied. A star network composed of Lora wireless transmission technology is designed to build an adaptive data transmission network. The design process of network topology, hardware and adaptive networking method of adaptive networking are introduced. Aiming at solving the problems of limited node capacity, adjacent frequency interference, and unreasonable channel resource allocation in the LoRa network, an adaptive frequency hopping mechanism is used for networking. The system uses I. MX6ULL as the main control and integrates 8 LoRa modules at the same time, which greatly improves the node capacity of the gateway. The server can realize real-time viewing and monitoring of node equipment, and real-time evaluation of channel communication quality.