bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Application and Optimization of Phase Method in Laser Distance Measurement
Authors: Liu Yue 
Published: April 2021

Abstract
At present, photoelectric detection technology has become a hot spot in the field of automation technology, which is very active in the process of industrial automatic assembly detection. Laser ranging technology is a kind of technology that USES photoelectric technology to measure the distance without contact. In order to improve the flexibility of assembly and the adaptability of products, this paper adopts the non-contact detection method of laser ranging for the distance and length detection of the interior decoration covering parts of the emu passenger room. This method can avoid the disadvantages of manual detection and realize the purpose of high-speed, high-precision and non-contact detection.
Development of the Electronic Information System for University Biomedical Engineering Scientific Research Management Based on Computer Internet
Authors: Jing Panzhao , Dai Yunteng , Lin Xiaogang , Liu Yuexiang , Wang Mengchao 
Published: April 2021

Abstract
The quality of scientific research management (SRM) in universities plays a vital role in the development of universities, and it is still one of the most important factors reflecting university reform and development and informatization construction. As the number of university scientific research (SR) projects has increased year by year and funding has increased, the emergence of diversification has put forward new challenges and requirements for SRM. Therefore, there is an urgent need for university SRM departments. Have it already. It is more systematic, standardized and efficient in managing SR projects. Various evaluation methods of electronic information systems, such as student evaluation, question evaluation, and teacher evaluation, provide a comprehensive view of the university’s medical and bioengineering SRM electronic information system. As for the experimental results, more than 90% of the students in the experimental class accepted interviews and surveys, and more than 90% of the students agreed to research and develop electronic information systems for the management of biomedical engineering SR in the university and expressed their satisfaction. It shows that it is. Based on the computer Internet.
Application of Liar Remote Sensing Forest Leaf Area Index Extraction Method Based on Big Data Network
Authors: Wang Xiaoyan , Xu Gaokui 
Published: April 2021

Abstract
In the past, liar was mainly used to study forest ecosystem flight time. So far, the ecological application of SLR is mainly to use one-dimensional index to characterize the canopy height. A new 3D analysis method of liar waveform is proposed. Many models developed before are scale dependent and need to be fitted and then applied with the same scale or pixel size. A method of scale invariant estimation of forest biomass based on liar data is proposed. Two equivalent biomass models were proposed: linear biomass model and linear biomass model. The development of sensors and algorithms is evaluated. The specific areas discussed include the selection of analysis units (grid units, segments or individual trees), canopy height model and point based analysis, the role of multiple benefits and benefit intensity, and the comparison of common algorithms. The results showed that the highest biomass of bark was 0.2645, the lowest biomass of above ground was 0.0267, and the biomass of branch was 0.021 higher than that of trunk.
Design and Study of Mechanical Monitoring Terminal Monitoring System Basedon Reel Neural Network
Authors: Gao Yuehui 
Published: April 2021

AbstractWith the development of the times, the society is slowly progressing, the era of information technology has come. With the research of computer technology and the development of artificial intelligence technology, various algorithms have been put forward and popularized. Among them are widely used expert algorithms, genetic algorithms, and a special co product neural network algorithm. In this paper, the mechanical monitoring terminal monitoring system is designed by using the reel neural network. After consulting a large number of literatures at home and abroad and watching the relevant models and starting to model them simply, this paper uses the existing resources of the laboratory to apply distributed network control through the use of multiple computers to assemble the central control system, so as to carry out experimental simulation, and get the analysis results. The final experimental results show that the co product neural network algorithm has better application in the monitoring system than other algorithms, and the data capture speed is faster and the analysis is more accurate.
Scientific Research on Agricultural Low-Altitude Remote Sensing Platform Based On Dual CPU Structure
Authors: Li Dan 
Published: April 2021

Abstract
With the support of the Jilin Province Education Department “13th Five-Year” Science and Technology Research Project Fund (JJKH20190974KJ), this paper, relying on the Jilin Province Digital Agriculture Key Discipline, carries out the research and practice of micro low-altitude remote sensing platform and its application in agricultural situation detection. This paper describes a kind of agricultural low-altitude remote sensing platform, which adopts dual CPU structure about central control layer and FMU flight control layer. This paper describes in detail the development status of low-altitude remote sensing, key technologies, experimental implementation schemes, core system design and so on. After field test, the operation effect is good.
Automatic Identification of Low Voltage Distribution Network Topology Based on HPLC
Authors: Dong Yongle , Li Xuan , Zhang Lifang , Yang Junzhe 
Published: April 2021

Abstract
With the rapid development of China’s national economy and the deepening of reform and opening up, people’s demand for electricity is growing. This paper studies the automation of low-voltage distribution network topology based on HPLC power line carrier technology. It is a key technology to effectively extend the communication distance of power line communication network in smart grid. For the power line communication network, we establish the network model of power line carrier layered forwarding tree. Based on the study of the topology and various operation modes of DC distribution network, a new hierarchical coordinated control method is proposed. By coordinating the working mode of each sub module, the power balance and voltage stability of distribution network are maintained under different conditions.
Packaging’s Visual Three-Dimensional Presentation and Experience with Virtual Simulation
Authors: Wen Zhurong 
Published: April 2021

Abstract

Objective To create an immersive experience experimental teaching environment through the technical means of simulation experiment, focusing on solving the problem of the conversion from flat to three-dimensional, from static to dynamic visual effects in the teaching of publishing and packaging courses, and to achieve rapid verification of three-dimensional presentation and display of packaging design. Methods First, aiming at the objective problems in publishing and packaging teaching practice, use 3DMax three-dimensional modeling software to classify the common structural forms in packaging and [make] three-dimensional models, and then use Unity3D simulation technology for all three-dimensional models to set parameters and build packaging Design a visual three-dimensional presentation and experience system. Results Assist students to use virtual simulation technology to realize the three-dimensional presentation of packaging design after the completion of the graphic creativity, and at the same time to quickly and low-cost test the feasibility of the packaging design plan in the process of display and experience. Conclusion This teaching method can allow students to quickly form a three-dimensional and dynamic spatial thinking mode, improve the expression efficiency of students’ creative thinking, and allow students to discover, analyze and solve problems intuitively.
Application and Realistic Dilemma of VR Technology in Film and Television Production
Authors: Wang Minjing 
Published: April 2021

Abstract
VR was formally put into research in 1989. Through continuous development, it has gradually attracted attention from various fields. By now, a new viewing mode has emerged out of it. To follow up the new viewing trend, city promos also begin to adopt this technology. Under this background, this article attempts to explain the current combination of VR and film and television production, analyzes its advantages and disadvantages, and explores the practical difficulties and development prospects of this mode.
Study on Hydromechanics with Particles and Bubbles Based on Finite Element Modeling
Authors: Liu Jie , Liu Hongying , Li Lei 
Published: April 2021

Abstract
The hydromechanics with foams and particles has important scientific and commercial significance. The presence of solid particles will greatly change the behavior of the multiphase/multicomponent flow in the bubble, which is a scientific issue unexplored. So this article simulates the foam layer and platform edge and the hydrodynamic laws of particles along the interface and inside the film were studied. As a result, the explicit analytical expressions for the drag coefficient and torque coefficient of spherical particles attached to a flat stress-free interface between two immiscible fluids are constructed by using the finite element method based on computational fluid dynamics (CFD) under the condition of low Reynolds number. The hydrodynamic data of the translational sphere and the rotating sphere under different motion states are analyzed respectively, and the flow mechanics law of the foam bridging region is analyzed.
Design and Implementation of Solfeggio and Ear Training Learning Assistant System Based on Computer Cat Technology
Authors: Huang Qian 
Published: April 2021

Abstract
With the rapid development of Internet, many new technologies emerge in endlessly. Digital technology is one of them. Now digital technology is very popular in many fields. Now many music scholars are trying to apply this technology to music education. This kind of auxiliary teaching method is more and more popular, and is a kind of development trend at present. Solfeggio is one of the important courses in higher music teaching, and it is also a very basic course in music teaching. Digitizing the teaching of Solfeggio and ear training course is also a topic of research for many music majors in Colleges and universities. This paper discusses and analyzes the effect of CAT technology on Solfeggio and ear training teaching. This paper analyzes and compares the effect of CAT technology in Solfeggio and ear training learning aid system and the difference between the original traditional teaching through Two Conservatories of music. The results show that in the process of Solfeggio and ear training, more than 60% of the students are satisfied with the cat technology learning aid system, while they are satisfied with the traditional learning aid system The proportion of students should not exceed 50%.
Design of Hybrid Recommendation Algorithm Based on User Dynamic Behavior and Static Attributes
Authors: Dai Xiaoxiao 
Published: April 2021

Abstract
Collaborative filtering recommendation algorithm is one of the most successful recommendation algorithms, but the traditional collaborative filtering recommendation algorithm is proved to have a series of problems in data sparsity, cold boot and scalability. Based on the problems mentioned above, this paper analyses user dynamic behavior and a hybrid recommendation algorithm based on user dynamic behavior and static attributes (UDBSA) was proposed in this paper. By determining the optimal value of BP critical point for the number of ratings, the recommendation strategy was dynamically selected according to the number of ratings. This method can comprehensively alleviate the influence of problems of new users and concept drift related problem on recommendation results.
Transformation of Higher Education Management Mode and Coping Strategies Based on Big Data
Authors: Wu Ziwei 
Published: April 2021

Abstract
Using data technology to optimize and reform teaching field is a part of teaching. Some schools have optimized the education mode, but there are many problems due to the lack of experience in this field. Therefore, this paper puts forward the transformation management mode and coping strategies. The main significance of university education management and the main problems existing, investigated and analyzed, and specific and improvement measures can be put forward according to the current deficiencies. The accuracy of data analysis is improved by optimizing factor analysis algorithm and simplifying steps. Puts forward the coping strategies of College Students’ management in the era of big data, uses big data platform, formulates personalized student training plan, and attaches importance to the application of flexible management and other strategies. According to the survey results, since the adoption management mode, have greatly improved in the way of event handling and management information communication.
Application Research of Computer Aided Architectural Design Based on BIM Technology
Authors: Tao Yan 
Published: April 2021

Abstract
This paper summarizes the development and application experience of computer aided design software for control system. Discusses how to arrange interaction with users with extensive experience. This includes question and answer dialog boxes using macro tools and different types of menu driven systems. A set of software packages for modeling, identification, analysis, simulation and design are described. The problems related to architecture, portability, and maintainability and extensible are discussed. Experience in developing and using software packages in teaching and industrial environments.
Ways to Promote Students’ Deep Learning in English Teaching Based on Computer Technology
Authors: Tao Xue 
Published: April 2021

Abstract
The current economic and social development is inseparable from computers. Computer technology has not only brought tremendous changes to all aspects of society, but also brought opportunities to the reform of our country’s education industry. Adding computer technology to the process of English teaching can effectively promote students’ deep learning. At the same time, this teaching model has already appeared in many schools in our country. This article explores the convenience brought about by the way that computer technology promotes students’ deep learning of English by using both teachers and students. This article first explains the application and research of computer technology in traditional English teaching, and analyzes the case of improving students’ classroom teaching and extracurricular collaboration by introducing computer technology and multimedia technology under computer technology. This research conducted a survey of 120 sophomore English majors and 38 English teachers in a language university. The survey method used questionnaire surveys, interview surveys and practice classroom methods to explore the reform of deep learning in English teaching. Under the path, students’ understanding of computer technology promotes English teaching. This article also explores the impact of computer technology on English teachers through a survey of English teachers, including the changes in their traditional teaching methods and teaching concepts, the challenges of practical teaching methods, and the repositioning of teacher-student relationships. The experimental results show that, the deep learning path that computer technology promotes English teaching has changed the traditional English teaching method and rebuilt a new English teaching concept. Its classroom is more practical and interactive, and it is also more conducive to the cultivation of students’ autonomous learning ability.
Research on Liquid Concentration Measuring Instrument
Authors: Huang Jian 
Published: April 2021

Abstract
In order to measure the concentration of different liquids, a new type of sensor is used to detect the small capacitance change. When a thin copper sheet is inserted into the solution, when the liquid concentration changes, the capacitance of the copper plate to ground will change. Fdc2214 is used to sense the change and convert it into digital quantity, which can be measured by various microprocessors through IIC output.
Design of Computer Network Security Defense System Based on Big Data
Authors: Huang Wei 
Published: April 2021

Abstract
The era of big data promotes the development of computer network, which plays a very important role. Big data can improve people’s life and work enthusiasm with high quality, and further sublimate the standard of the masses. Because of the openness of computer network, it always leads to unnecessary security problems. Therefore, in order to apply the computer network on a large scale and avoid the information leakage caused by the network, this paper proposes the research on the design of computer network security defense system based on the background of big data. First of all, the importance of computer network security is discussed; secondly, the types of network security attacks are discussed, and the computer network security defense system is built by using multi angle and active security defense strategy to maintain the safe operation of the network; then, the risk algorithm is analyzed, and the risk of the whole computer network can be estimated by setting the weight according to the importance of the obtained resources So as to formulate reasonable safety measures. Finally, through the system test, the system has good analysis ability and defense ability, and has outstanding effect in computer network defense.
The Training Mode of Design Talents in Colleges and Universities from the Perspective of Artificial Intelligence
Authors: Shang Yuzhen 
Published: April 2021

Abstract
“Internet +” has been deeply rooted in the hearts of the people, and the development of online courses such as micro class and MOOC has become increasingly mature. However, with the rapid development of the times, the research on online teaching alone can not meet the needs of the era of artificial intelligence. From the single and interactive form of VR and visual media to the interactive form of visual art, it also presents the trend of interactive development from the traditional and visual media to the interactive form of visual art. The various possibilities brought by artificial intelligence in the field of design pose a problem to the educators engaged in design education, that is, how to better cultivate students’ innovative thinking and enhance their innovative ability, instead of focusing on technology. This paper analyzes the current situation of the application of artificial intelligence in the field of culture and education, and expounds how to combine the traditional curriculum and teaching methods with artificial intelligence in the training of design talents in Colleges and universities.
Vehicle Trajectory Prediction Method based on Deep Learning under the background of Internet of Vehicles
Authors: Wang Rongxia 
Published: April 2021

Abstract
With the expansion of the Internet, big data and other industries, mobile devices are almost used in all aspects of life. The location-based service platform provides convenient services for users, but also obtains a large number of user history tracks. Through the trajectory data mining, we can extract valuable user behavior information, help user’s better plan routes, and can be applied in urban traffic management and commercial advertising layout and other scenarios. In this paper, a trajectory prediction algorithm based on deep learning is proposed to solve the problem of vehicle trajectory prediction. In this paper, the vehicle passing records are preprocessed and the vehicle trajectory is generated. The trajectory is transformed into the discrete position sequence of the vehicle as the input of the algorithm. Then the space-time multi-dimensional features of vehicle trajectory are extracted. Finally, a trajectory prediction algorithm based on deep learning is constructed. The batch size is 256 and the average track length of training set is 46.45. The convolution neural network and deep bidirectional long-term memory network are fused to learn the local and global information of vehicle trajectory. The research shows that compared with traditional machine learning, deep learning has achieved better results in various fields of computer vision because of its powerful representation ability. The visual perception algorithm based on deep learning can accurately analyze the regularity of vehicle movement and make accurate prediction of vehicle moving trajectory in the future.
Improved Algorithm for Nonlinear Programming with Inequality Constraints Based on Big Data Framework
Authors: Zhou Yuying 
Published: April 2021

Abstract
With the development of network technology and electronic information technology, the nonlinear programming problem (NPP) with inequality constraints in the BD framework has become one of the research hotspots and one of the trends that need improvement. Due to the introduction of BD technology, there is still a lack of research on the situation where the objective function is a NPP. The purpose of this article is to use the analysis and computing power of BD technology to simulate and calulate nonlinear programming (NP) with inequality constraints and improve it. In this paper, with the help of stability conditions, matrix splitting and iteration theory, the alternate direction method is used to solve the NPP with inequality constraints, and the principle of compressed mapping is used to finally prove the convergence of the alternate direction method. Matrix splitting techniques and Gauss-Seidel iterative ideas construct an iterative algorithm for solving linear systems. The iterative format of the alternating direction method for solving NPPs with inequality constraints and the equivalent matrix format are given to prepare for further proof of the convergence of the algorithm. Experimental research shows that the NPP model with inequality constraints designed by the dynamic BP technology error correction GPC algorithm used in this article has faster response time and smaller overshoot, and the control effect is better than 20% of the traditional GPC algorithm.
Application of New Generation Artificial Intelligence in Traffic Informatization
Authors: Hou Jinling 
Published: April 2021

Abstract
With the rapid development of economy, continuous improvement of urbanization level, increasing number of private cars and increasingly prominent urban traffic problems, intelligent transportation has become a research hotspot at home and abroad. As a new generation of high and new technology, artificial intelligence technology plays a decisive role in the development of China’s transportation. On the basis of studying the level of China’s traffic informatization, this paper uses the YOLO algorithm model and selects the CCTSDB data set to study the traffic sign recognition in traffic informatization, and verifies the accuracy of the algorithm through experimental results, and changes the traditional driving mode, improve the level of informatization, and reduce the occurrence of traffic accidents.