bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis and Optimization of Computer Trajectory Based on Compound Eye Vision System
Authors: Zhu Hang 
Published: February 2021

Abstract
With the rapid development of science and technology, people have higher and higher requirements for target detection technology, which requires us to solve the disadvantages of traditional cameras, such as the difficulty of panoramic photography and continuous tracking motion. However, compound eye insects have a visual system composed of fewer neurons, which can achieve rapid detection and capture of objects of interest. Therefore, based on the principle of compound eye vision, a bionic compound eye panoramic detection system is designed in this paper, which can realize panoramic real-time detection through multiple sub eye cameras. Through the compound eye vision system, we can accurately locate the pan tilt controller, which can provide a comprehensive panoramic motion image. Through the principle of automatic windowing, we can acquire the image of moving area by multi-layer window. Then, through the relevant image processing methods, such as binarization, median filtering, spatial filtering, moving object detection, edge detection and other methods, we can get a relatively clear moving object contour and trajectory analysis, which can achieve full field of view, high sensitivity detection and tracking.
Application of Computer Energy Optimization Method in Oil and Gas Gathering and Transportation System
Authors: Li Jiaxue , Huang Chunjian , Ye Fan , Qin Meng , Zhang Wenhui 
Published: February 2021

Abstract
With the continuous development of society and economy, human demand for petrochemical-related products and derivatives is becoming more and more vigorous. However, the increase in oilfield development time and the expansion of scale easily make it difficult to control energy consumption. In response to this bottleneck problem, this paper relies on computer technology to explore the development of energy optimization software for oil and gas gathering and transportation systems, which provides convenience for grassroots technical managers by realizing control of the operating parameters of the oil gathering system, realizing process management and fine management., Changed the traditional oilfield management model. At the same time, taking the water-mixing oil collection process as an example, explore the application process and effect of the software in the oil field.
Discussion on Installation and Maintenance of Optical Fiber Transmission Equipment Based on Computer Controlled Mode
Authors: Li Jinkai , Liang Yang , Wang Hong , Xin Hai 
Published: February 2021

Abstract
Optical fiber transmission is a new technology emerging in recent years. Because of its convenience and simple operation, it has been widely welcomed and promoted by all sectors of society. However, the optical fiber transmission technology is still in the stage of application, the development is not perfect. This paper mainly describes the installation and maintenance of the equipment in the process of optical fiber transmission, so as to achieve long distance, high rate of data exchange and storage. With the increase of communication distance and speed, optical fiber communication has become the mainstream communication mode by virtue of its characteristics. An era of optical communication has arrived.
Discussion on Construction Analysis of Concrete Computer Intelligent Temperature Monitoring
Authors: Li Mengmeng 
Published: February 2021

Abstract
In order to effectively monitor the temperature changes of the concrete during the construction phase, to avoid cracks caused by temperature. An intelligent computerized temperature monitoring method for concrete is proposed. Through the computer intelligent temperature monitoring system, the temperature changes during the construction phase can be obtained to better map the temperature distribution. The experimental results show that the computer-based intelligent temperature monitoring method for concrete proposed in this paper can effectively monitor the change of concrete temperature.
Consumer Electricity Consumption Behavior Perception Technology Based On Vi Waveform Characteristics
Authors: He Min , Wu Chenghuan , Cui You , Wen Guiping 
Published: February 2021

Abstract
The power grid system includes various aspects and involves a wide range of aspects, which causes certain difficulties for the analysis of electricity consumption information. First, the amount of data is large. The data collected by the electricity consumption information collection system is huge every day and the data becomes more complicated in places with a larger population. Taking Henan Power Grid as an example, the data collected by the daily electricity consumption information system not only includes household electricity consumption data of tens of millions of users, but also electricity consumption data of various public facilities, large and small factories. Second, the diversified types of electricity consumption data. The implementation of more and more mobile phone software has generated unstructured data in addition to structured data such as user basic data. Finally, the electricity consumption information data continues to grow. The data will grow rapidly with the coverage of the system and the increment will be huge. In order to analyze it effectively, we adopt the technology of studying its characteristics to complete the perception of electricity consumption.
Design of Fault Diagnosis and Monitoring System for Electric Drive of Pure Electric Vehicle Based on Computer
Authors: Li Suhua 
Published: February 2021

Abstract
Electric vehicle has become a popular product since its emergence. It has both the advantages of simple operation and the characteristics of energy saving and environmental protection in macro development. However, the history of pure electric vehicles is very short, so the electric drive system needs to be further developed and improved. In order to ensure the timely detection of the faults of the electric drive system and meet the needs of driving safety. The author designs the fault diagnosis monitoring system with the convenience of the current computer development.
Research on Design and Construction Key Points of HVAC Engineering in Civil Engineering under Computer-aided Technology
Authors: Feng Wang , Yin Dongpeng 
Published: February 2021

Abstract
With the increase of the construction of modern residential areas and the continuous expansion of the area, the HVAC project has also developed rapidly. However, in the civil engineering, there are still some defects in the HVAC project. Therefore, how to effectively improve the construction of the HVAC project has become an important work content of the relevant building design and construction units. This paper mainly analyzes the importance of HVAC construction in civil engineering and deeply explores the key points and management of civil construction HVAC under the computer-aided technology, hoping to help the construction of HVAC project.
The Practice of Modern Electronic Technology in the Development of New Energy
Authors: Sun Xiaoyun 
Published: February 2021

Abstract
With the rapid development of economy and the overall progress of society, as a large country of energy consumption, it is urgent for China to solve the problems of energy supply and environmental pollution, so it is imperative to develop and utilize new energy. As a key technology in power generation, the development of power electronics technology is directly related to the development and prospect of new energy generation technology, and affects the development and progress of society. Based on the development of new energy and materials industry, this paper expounds the application results of electronic technology, and analyzes and expounds the application of electronic technology in new energy materials industry. We should use computer technology properly to realize the development of modern electronic technology in new energy.
Analysis of Energy Control Application Scheme Relying on Niagara Technology
Authors: Zhang Yanjie 
Published: February 2021

Abstract
In the current energy management, the energy control management system closely integrates information and physical models and proposes new analysis methods for the system, which can make the system more sensitive to changes in the external environment and analyze the power grid more humanely control. The energy control management system is similar to the traditional control method and can solve the control of the target system under the condition of satisfying the system constraints. Under this framework, the constraints will focus on computing and network performance. Constraints mainly refer to the time complexity of the system algorithm and the information flow of the network, which are reflected in the organic integration of physics and information systems in the power grid and the information flow is restricted by controlling the energy transferred by the energy flow. For example, the transmission time of the system information transmission process can be optimized. To effectively control the system, specifically to solve the excessive dependence of NCS on the communication network, lies in how to solve the local control to coordinate the overall situation, so that the system reaches the optimum, this paper will study it.
Research on Convolutional Neural Network Image Recognition Algorithm Based on Computer Big Data
Authors: Chen Yuanyi 
Published: February 2021

Abstract
Aiming at the problems of slow convergence and low recognition accuracy of the existing image big data recognition methods, a convolution neural network based image big data recognition method is proposed. In the concept of machine vision, image recognition refers to the ability of software to distinguish characters, positions, objects, actions and handwriting in pictures. Computers can apply machine vision techniques, combined with artificial intelligence and cameras to image recognition. Describes the convolution layer, pool layer, full connection layer and classification layer in the model. MNIST data sets are simulated to verify the superiority of the proposed method. Convolutional neural network has achieved good results in the field of image recognition, but its network structure has a great impact on the effect and efficiency of image recognition. In order to improve the recognition performance, a new convolution neural network structure is designed and implemented by repeated use of smaller convolution kernels. The results show that compared with other similar algorithms, the false recognition rate of this method is low, and the lower average square error of classification can be realized in a short time. This paper expounds the basic flow of digital recognition system from the aspects of data extraction and preprocessing, feature extraction and selection, classifier design and so on[1].
The Influence of Artificial Intelligence on the Diversity of Plant Design in Landscape Design
Authors: Xia Yuan 
Published: February 2021

Abstract
With the progress of the times, artificial intelligence and other high-tech applications in our daily life more and more widely. With the acceleration of urbanization process, in the process of rapid development of the city, people not only work and live, but also have higher requirements for the urban environment, and ecological garden construction has also been rapid development. It is an important problem for landscape designers how to allocate plants effectively and give full play to the ornamental and ecological characteristics of landscape. In order to make the plant design research in landscape design keep up with the pace of the development of this era, and make the plant design research in landscape design more successful, this paper puts forward the development method of applying artificial intelligence technology to plant design in landscape design. The application of artificial intelligence technology in modern landscape design is bound to be the development trend of mainstream design. In the practice process of plant design in landscape design, the design method of artificial intelligence is integrated, and some excellent design methods are selected, so as to formulate a set of diversified development scheme which is most suitable for plant design in the new era. Through the analysis, the research method proposed in this paper provides a new development idea for the study of the impact of artificial intelligence on the diversity of plant design in landscape design.
Electrical Engineering and Automation Technology in Electrical Engineering
Authors: He Huajin , Long Yinxin 
Published: February 2021

Abstract
With the continuous progress of electrical engineering in China, electrical engineering is gradually developing towards automation, which provides a new impetus for the development of our traditional electrical engineering technology. However, due to the weak foundation of electrical engineering construction in China, the level of electrical engineering in some areas is still relatively backward. Therefore, the purpose of this paper is to analyze the application of electrical engineering and automation technology in electrical engineering. This paper holds that electrical engineering and automation technology have great prospects and development space in China, especially in underdeveloped areas, and we must fully apply electrical engineering and automation technology to electrical engineering. This paper focuses on the analysis of the application of electrical engineering and automation technology in electrical engineering, such as electrical monitoring technology, automation of power grid dispatching, substation electrical engineering, etc. Through specific research and analysis, it is found that under the same conditions, when the main switch device of incoming line is at 630A, the power supply reliability of power system is greatly improved. In addition, the application of electrical monitoring technology and other automation technologies has brought unprecedented changes to electrical engineering. Applying electrical engineering and automation technology to electrical engineering can effectively improve the overall operation efficiency of the project and promote the rapid development of China’s electrical industry.
Trusted Security Immune Model of Power Monitoring System
Authors: Tao Wenwei , Wu Jinyu , Liang Zhihong , Jiang Zeming 
Published: February 2021

Abstract
Power monitoring system is an important national infrastructure; its security has a vital position. In recent years, malicious attacks against power information systems emerge in an endless stream, which makes power systems worldwide suffer a major blow. Aiming at the hierarchical structure of the power monitoring system and the security threats it faces, this paper proposes a security immune model based on trusted computing technology. The security analysis shows that the model can guarantee the credibility of the power monitoring system.
Automation Technology in Equipment Installation Technology and Quality Management
Authors: Lu Guanyu , Sun Zhihong 
Published: February 2021

Abstract
The rapid development and continuous advancement of technology promote people’s quality of life to get better and better. People are paying more and more attention to highly intelligent automation. Long-term development is achieved by automation technology because of the promotion of science and technology. Under the premise of this kind of development, the construction process of my country’s construction projects has become more and more complicated, which has greatly increased the difficulty of my country’s construction project management and control. In order to better coordinate the construction project links and accelerate the construction progress, it is necessary to continuously improve, improve and innovate the existing construction project management control strategies. The level of control will also be continuously improved in terms of construction project quality management. At the same time, precision and efficiency are high, and highly automated equipment is gradually increasing, and the investment cost of equipment is getting higher and higher. The proportion of equipment-related costs in product costs has also increased. Therefore, strengthening equipment technology management to reduce equipment life cycle costs and many other aspects occupy a very important position. This article first outlines automation technology, then analyzes its impact on mechanical design and manufacturing, and analyzes the current status of construction engineering quality management. On this basis, it focuses on the application of automation technology in equipment installation and quality management for reference.
Overall Scheme of the Pipes Robot for Charging Using Fluid Kinetic Energy
Authors: Shan Xiaomin , Zhang Chunyou 
Published: February 2021

Abstract
According to the design requirements of the pipeline robot and the influence of the surrounding environment on the robot, in this paper, the overall structure of the robot is designed. Including the shape of the robot, the wall thick, structure. The stepping motor is used to drive the driving wheel to roll to realize the robot’s walking; the oil dirt on the pipe wall is cleaned by steel brush; the internal and external pressure balance method of the body is used for the sealing of the robot.
Engineering Cost Analysis of Automatic Handling System
Authors: Yan Songyang 
Published: February 2021

Abstract
With the progress of the times and the continuous development of society and economy, many new and high technologies have been applied in our daily work and life. Automatic handling system technology is an important part of high-tech. from its name; we can know that it is a comprehensive technology integrating mechatronics, electronic technology, computer technology, and control and management technology. In the 21st century, with the proposal of made in China 2025, China’s manufacturing industry will enter a new era, a new industrial revolution will begin, and enterprises that can grasp the times and market trends will win this competition. In order to help Chinese enterprises develop better in the new era, this paper puts forward the engineering cost analysis method of automatic handling system, analyzes the cost of different automatic handling systems in the process of factory manufacturing industry control, and designs an improved automatic handling system in the process of factory manufacturing by optimizing the cost calculation, Improve the engineering benefit. Through the analysis, we can see that the research method proposed in this paper provides a new development idea for the research of the project cost analysis of the automatic transportation system.
Analysis of Intermittent Vibration and Its Emergency Treatment Measures
Authors: Zhou Huaxing , Hu Hailiang , Li Haitao 
Published: February 2021

Abstract
Intermittent vibration is a major unstable factor in the safe operation of unit. Based on the working experiences of dealing with the intermittent vibration of steam turbine, this paper is to analyze the reasons for the intermittent vibration and the corresponding measures, which can provide reference for the unit for which such a phenomenon may appear.
Motion Behavior Recognition of Underwater Vehicle Based on YOLOv3
Authors: Tang Leisheng , Hou Jing , Xu Hongli , Wu Mengyan , Xia Xinyang , Cui Yifan 
Published: February 2021

Abstract
As an important tool for human exploration and understanding of the ocean, underwater vehicle cannot achieve real-time cooperation due to the limitations of underwater acoustic communication. In order to realize the recognition and perception of the cooperative object behavior of underwater vehicle by vision, a new method is provided for the cooperation between underwater vehicle. Select YOLOv3 target detection algorithm, this paper to test the underwater vehicle motion behavior recognition, first of all, the collected experimental data set, using Label Image software training set and testing set of calibration, and modify the YOLOv3 classifier, change the output of the network dimension, optimization of network parameters and accelerate the convergence of the model, by analysing the experimental result shows that using YOLOv3 network, can realize the four directions to set an underwater vehicle motion behavior recognition, and ensure the accuracy and speed, the foundation for subsequent underwater vehicle based on visual collaboration.
Application of Big Data Technology in English Teaching Innovation
Authors: Wang Ying 
Published: February 2021

Abstract
With the rapid development of database and computer network technology, traditional data analysis methods can no longer meet the needs of people’s lives and work. The traditional data method only uses statistical analysis theory to perform simple summary statistics on the data, without considering the ambiguity and uncertainty of the data. In order to solve the shortcomings of the existing methods, big data came into being. High-dimensional, uncertain, vague, and noisy data are used to mine potential, implicit, and useful information and patterns to improve people’s market decision-making capabilities and assist people in giving feedback on the basis of past experience. The future development trend and so on. Although attempts to innovate in English teaching are continuing, there are still shortcomings. In order to solve the problem of English innovation, this paper adopts the Apriori algorithm and will conduct research on English innovation. Using the methods in this article, through the combination and calculation of the previous innovative methods of English teaching, we find a set of reasonable English teaching methods. According to calculations, this method can improve students’ learning ability by 14%.
Children’s Face Recognition Based on Convolutional Neural Network
Authors: Zhang Jiali 
Published: February 2021

Abstract
Nowadays, the application of deep learning is more and more widely, and children’s face recognition has made great progress. However, in the existing framework of children’s face recognition based on deep learning, many tasks (including face recognition, authentication and attribute classification) are relatively independent, and its overall algorithm is inefficient and time-consuming. In order to solve this problem, this paper proposes a deep convolution network based on keras framework. Taking children’s face recognition, authentication and attributes as the parameters of the network, the whole deep convolution network can be trained step by step. The network can complete three tasks at the same time without further steps. The network model is trained and learned on the training samples. It is an efficient neural network model. The network structure scheme of this method can improve the classification accuracy It has a certain positive impact. The purpose of this paper is to construct a network model structure, which can make the children face recognition effect better and still obtain good performance under the limited data support.