bluuebunny/crossref_metadata_2025_split huggingface dataset:
Water Resources Information Management System Based on Agent Model
Authors: Wang Fu 
Published: November 2021

Abstract
With the rapid development and wide application of computer technology and network technology, the Internet has become an important information infrastructure in modern society. However, the resource capacity used by the Internet is much smaller than the actual resource capacity. How to choose the right resources to serve the people has become a crucial issue. Huge data resources, heterogeneous distribution and unreasonable resource organization are important reasons for this phenomenon. When solving the problems of batch data, heterogeneous distribution, complex processing, and cumbersome use in a distributed heterogeneous network environment, the traditional methods of resource processing and resource aggregation services become more and more difficult. In recent years, how to redistribute and organize scattered resources in a dynamic and open environment, how to effectively gather different resources, realize resource sharing and full utilization, and provide users with reasonable and convenient resource collection services have become one of the main research points. This paper mainly uses the questionnaire survey method to study the water resources information management system based on the Agent model. First, it summarizes the characteristics of the Agent model and the problems existing in the water resource information management system based on the Agent model through the literature research method, and then uses the questionnaire survey method, investigate some evaluations and suggestions about the need to use the water resources system. The results of the survey show that in the evaluation of the use of the water resources information management system based on the Agent model, about 50% of people encounter the waiting time for the system. For long-term phenomena, about 30% of them are stuck. The recommendations for the use of water resources information management systems based on the Agent model are more concerned about the simple operation of the system, with about 54% of the choices, and about 36% of the people choosing when there is no lag.
Research on the Structure of Distribution Network Voltage Smart Grid Information System Based On Flexible DC
Authors: Yang Jingwen , Chen Zhongxiao , Qin Gang , Chen Jiarui , Fu Kaiqing 
Published: November 2021

Abstract
Since the concept of smart grid was defined, it has aroused the interest of many researchers, and many countries have also regarded smart grid as a key research project. Because it is the field of power grid research in the future, the structure of the smart grid becomes more complex with the deepening of research, the scale becomes larger, and the data contained in the system is bound to increase rapidly. Flexible DC grid technology has the characteristics of high reliability, good fault tolerance and good scalability, and can be used to solve some problems encountered in the application of smart grids. Based on the structure of the smart grid information system, this paper studies the characteristics of the smart grid data, as well as some safety issues encountered in the data, applies flexible DC power distribution technology, designs a new smart grid equipment management architecture, and System implementation was carried out. Through experimental verification, the new architecture proposed in this paper has high feasibility and safety. Finally, the realization of the management system function based on the new equipment management architecture and the analysis of the system function effect are given.
Computer Network Reliability Improvement Method Based on Genetic Algorithm
Authors: Huang Kun 
Published: November 2021

Abstract
With the continuous growth of economy and the continuous development of society, once the computer came out, it has been rapidly developed and popularized, especially now, people’s life is more and more inseparable from the computer, and they have a serious dependence on the computer. Some industries even directly use the computer as the business pillar, once such industries leave the computing industry Therefore, the reliability of computer network is a very important topic. It is very important to improve the reliability of computer network. In order to explore the effect of genetic algorithm on improving the reliability of computer network, two experimental groups are set up in this paper. The experimental group adds genetic algorithm in its computer network operation, while the control group uses the traditional algorithm. Finally, the experimental results show that the accuracy and security of the computer network in the experimental group are higher than those in the control group. For example, the highest accuracy and security of the experimental group are 99.78% and 98.83% respectively, while the highest accuracy and security of the control group are 84.31% and 88.58%. These experimental data show that the genetic algorithm can play a positive effect on the security of computer network.
Research on NC Machining Programming Technology in the New Era
Authors: Ye Weiwen 
Published: November 2021

Abstract
with the application and development of intelligent technology in the machining industry, the machining industry is gradually transforming from automation to intelligence. The basis of automatic machining comes from the programming of NC machining program. In the new era, CNC machine tools have high requirements for the accuracy and digitization of machining production. Macro programming technology and modularization design are introduced in NC programming. The first part of this paper introduces the NC machining programming technology. The second part analyzes the technical requirements of NC machining programming technology in improving the accuracy of machining parts; the third part discusses the automatic programming technology of NC machining from the perspective of macro programming technology. The purpose is to provide some reference for the application of NC machining coding technology.
Evaluation Method of Reservoir Heterogeneity Based on Neural Network Technology
Authors: Yang Shasha , Chen Ying , Yang Yong , Yuan Kekuo , Quan Juanjuan 
Published: November 2021

Abstract
Reservoir is the underground storage and accumulation place of oil and natural gas. The accuracy of reservoir heterogeneity evaluation has great economic value for correctly guiding the production and development of oil and natural gas. The high-order neural network method is used to comprehensively evaluate the heterogeneity of the reservoir. This method was applied to the evaluation of reservoir heterogeneity in the PK area. The results show that the heterogeneity of sandy clastic flow sand bodies is the weakest, the sandy landslide sand bodies are medium, and the turbidity current sand bodies are strongest. The evaluation method of reservoir heterogeneity based on high-order neural network technology effectively solves the problem of inconsistent conclusions of single-parameter evaluation of heterogeneity in conventional methods, and can quantitatively characterize the degree of reservoir heterogeneity.
Underwater Image Enhancement Method Based On Color Correction and Dark Channel Prior
Authors: Chen Hao , He Hongsen , Feng Xinghua 
Published: November 2021

Abstract
Concerning to the problem in the distortion of color and the low contrast of underwater image, the image enhancement method in the underwater environment based on color correction and dark channel prior was proposed. When dealing with the color bias problem, the blue channel standard ratio is firstly calculated based on the blue channel, and the red and green channels of the underwater image are compensated to remove the blue and green background colors of the underwater image. In light of the problem in the low contrast of image in underwater environment, the dark channel prior (DCP) method based on the super pixel was used to enhance the corrected underwater image. Finally, the underwater object detection dataset images are tested, and the algorithm proposed in terms of the quality is made the comparison with six advanced image enhancement method in underwater environment. The experimental results show that the proposed algorithm earned the highest score in underwater quality evaluation index (UIQM) compared with the above algorithm.
LFM/PRBC Modulation Signal Parameter Estimation
Authors: Chen Shihong 
Published: November 2021

Abstract
Since pseudo-code phase modulation and carrier frequency modulation composite reconnaissance signals have both the good anti-interference capability and the low probability of interception, they have been widely used in electronic reconnaissance systems. This paper proposes a multi-parameter estimation method for pseudo-random binary phase code (PRBC) and linear frequency modulation (LFM) composite modulation signal in a complex electromagnetic environment. Firstly, this paper uses the square operation to remove the code phase information; secondly, we use the delay correlation and two times frequency estimation to estimate the starting frequency and the frequency modulation rate; finally, the wavelet transform algorithm is utilized to estimate the code rate parameter. Through the simulation analysis and full comparison with other methods, we can prove the performance superiority of this method under low signal-to-noise ratios (SNRs).
Application of Cloud Computing Technology in Information System Construction
Authors: Zeng Renxian 
Published: November 2021

Abstract
With the rapid development and improvement of information technology, information system construction has new requirements and goals. Cloud computing technology is an inevitable choice in the construction of information system. By taking cloud computing technology as the basic structure framework, the phenomenon of data information island can be broken. The purpose of this paper is to study the application of cloud computing in the construction of information system. Taking the management mode of university campus as an example, based on the research of cloud computing technology, virtual machine technology and Internet of things technology, this paper discusses the data resource management algorithm of smart campus. Aiming at the scheduling model, strategy and research objectives of cloud computing resources in data center, this paper proposes a method of initial allocation and adaptive dynamic scheduling of virtual machine resources. According to the multi-dimensional vector characteristics of virtual machine, this paper proposes a resource allocation algorithm based on multi-objective evolution, and gives four important strategies. The experimental results show that the four advantages and strategies can effectively reduce the number of virtual machine migration and reduce the adverse impact on the overall performance of cloud computing core network.
Research on Simulation System of Rubber Particle Mat Based on Web Technology
Authors: Zhang Jiali , Li Haichan , Qing Haohua 
Published: November 2021

Abstract
The current design of rubber granular floor mats is limited to a single fixed plane sample drawing, and it consumes a lot of time, manpower and material resources in obtaining customer design requirements. In response to this situation, the use of Web development technology to realize the free combination of particles in proportion, generate simulation application scenarios, provide interface operations, and finally complete the order process. By constructing a particle probability distribution model, establishing a particle position coordinate matrix, and developing a particle mat simulation system, based on the sample quality of the sampled data, it is compared with the real artificial mechanical product. Finally, by mixing and matching 9 different color values according to the industrial production ratio, randomly combining 10 groups and comparing with the real products of the same color ratio, quantifying the color difference, contrast, and particle position offset to obtain the production simulation floor mat sample and the actual product. The finished product is quite close. The system generates simulated particle mat maps and real sample maps with a high degree of simulation, and provides an interface that allows users to directly match the particle combination program that suits their needs, saving labor cycles and improving work efficiency.
Architectural Design of Building Information Model Technology in Internet Age
Authors: Wang Dong 
Published: November 2021

Abstract
As a revolutionary technology to realize the construction industry information, BIM technology has been vigorously developed in China in recent years. The whole life cycle of a construction project includes planning stage, design stage, construction stage, operation and maintenance stage, with many participating units. This paper mainly studies the architectural design of building information model technology under the Internet era. This paper analyzes and combs the traditional structural design process, and summarizes the problems and defects existing in the traditional structural design process. Combined with the characteristics of BIM technology application, the BIM technology is combined with the traditional structural design process. Taking Project A as an example, the causality analysis, the analytic hierarchy process and the fuzzy comprehensive evaluation method are used. The architectural design quality of Project a based on BIM technology is evaluated, and the effect of adopting BIM technology in the design of Project A is compared and analyzed.
Simulation of Urban Storm Water Runoff Control Based on Big Data
Authors: Liu Yunzhu , Cao Jinbao 
Published: November 2021

Abstract
The acceleration of urbanization has brought about rapid economic development, but at the same time, it has also brought some damage to the ecological environment. The proportion of hardened area of the ground is higher and higher, and the rainwater runoff pollution caused by rainfall is more and more serious. In order to follow the sustainable development strategy, and for the more stable and high-speed economic development, the control of rainwater runoff pollution is urgent. The purpose of this paper is to simulate the urban storm water runoff control and find the most suitable scheme for storm water runoff pollution control. Because the simulation of SWMM is more accurate than other models, it can directly reflect the situation of rainwater runoff pollution, so the model selected for rainwater runoff in this paper is SWMM, and then build the model, through the collection and collation of the basic data of the study area, the generalization of the sub catchment area and drainage network is completed. Through the analysis of the characteristics of the study area, the rainwater garden and permeable pavement are determined as the scheme to control the rainwater runoff in the study area. Finally, the SWMM model is used to simulate the control effect of rainwater garden and pervious pavement on rainwater runoff pollution control. The experimental results show that the storm water garden can effectively control the impact of SS scouring effect on the environment, significantly reduce the discharge of SS, and significantly reduce the peak concentration of SS, and its ability to control SS increases with the thickness of the surface plant layer. The control ability of rain permeable brick pavement to SS increases with the increase of surface porosity, that is, the control effect of SS is the best when the porosity is 20%.
Computer Experiment Management in Virtual Environment
Authors: Deng Jianqing 
Published: November 2021

Abstract
With the development of the era of big data and the continuous updating of computer technology, the traditional teaching is not satisfied with the current diversified educational development concept, especially for the computer operation class, computer operation has become the mainstream of the current computer experiment class.With the increasing number of computer experiments and the extensive use of computers in open laboratories, how to manage computer experiments reasonably has become an urgent problem. The function of the computer is powerful, and students have different habits of using the computer, and the entertainment function of the computer is also loved by many students. Therefore, in the process of experiment, students often play games and watch movies, which is not easy to manage. In order to solve these problems, this paper studies the computer experiment management system under the virtual environment to help teachers manage the experiment process. This paper studies the function modules of the computer experiment management system, explains the key elements of the analysis of the implementation of the experiment management system, and explains the construction scheme of the virtual experiment teaching environment, and expounds the ant colony algorithm used in the design and management of the course scheduling system. This paper also analyzes the operation and load of computer experiment management through simulation experiment research, and tests and analyzes to prove the rationality of the management system. The experimental research shows that in the daily computer experiment management system, the most commonly used is the experimental teaching, and the conventional office, accounting for 27.35 and 26.33 respectively. The highest utilization rate of the computer experiment system is the daily teaching, accounting for 53.6%.
Prediction Study of Tianjin Port Throughput Based on GM (1, 1) Extended Model
Authors: Wang Yahui , Zhang Zhuoyi 
Published: November 2021

Abstract
Tianjin Port is the largest comprehensive main hub port and one of the main transshipment ports for energy and raw materials transportation in northern China. It has freight business with many countries. At the same time, Tianjin Port is the first port to carry out international maritime container transportation in China’s coastal areas. Tianjin Port was built in the 1950s, and the container business has been started since 1973, In recent years, with the rapid development of large-scale, intensive and intelligent container ships in Tianjin Port, cargo throughput is an important indicator in the comprehensive evaluation of port development, which represents the development level of a port. At the same time, it also brings new tasks to the navigation guarantee work, in particular, it puts forward systematic requirements for port and wharf construction, navigation aids layout, navigation aids efficiency display and navigation aids base layout. The annual throughput of port cargo or container is one of the bases of world ports. As an output index, port enterprises, shipping companies, navigation guarantee departments and shipping economic analysis departments attach great importance to it. Therefore, the prediction of Tianjin Port cargo throughput can provide reference for Tianjin Port’s next development planning, waterway use and navigation guarantee planning and layout, navigation aids setting, wharf construction, route mapping, etc. the article constructs of Tianjin Port. The average error is 0.29%, and the prediction accuracy is first class. This model can better predict the change trend of cargo for Tianjin Port, which is a better way to analyze the change trend for Tianjin port.
An Improved Convolutional Neural Network for Text Classification
Authors: Fan Xiaojing , Runa A , Pei Zhili , Jiang Mingyang 
Published: November 2021

Abstract
This paper studies the text classification based on deep learning. Aiming at the problem of over fitting and training time consuming of CNN text classification model, a SDCNN model is constructed based on sparse dropout convolutional neural network. Experimental results show that, compared with CNN, SDCNN further improves the classification performance of the model, and its classification accuracy and precision can reach 98.96% and 85.61%, respectively, indicating that SDCNN has more advantages in text classification problems.
Analysis Methodology of Unusable Fuel Supply for Large Rotorcraft Airworthiness Certificate
Authors: Li Sheng 
Published: November 2021

Abstract
The unusable fuel quantity plays a key basis for calibration of aircraft fuel gauge and fuel measurement system. Using large helicopter fuel tanks as case study, the paper described airworthiness requirements for fuel system design and current research development. In particular, the paper presented an analysis method can be utilized and referenced as means of compliance for airworthiness requirements. This method will reduce the qualification time and save money for physical and dynamic bench test/flight test in the future.
Method of Locating Ground Fault in Low Resistance Grounding Distribution Network by Grounding Wire Current
Authors: Yang Bo , Fan Yuanchun , Yang Chen , Xu Jun , Zhou Yang , Gao Yang , Chen Kui 
Published: November 2021

Abstract
Three-core cables are increasingly used in urban distribution networks. The shielding layer, armor layer of the three-core cable and the earthing electrode constitute the earth-electrode network. When a ground fault occurs, a regular ground wire current distribution is formed in the network. This paper analyzes the distribution law of ground current, and according to the distribution law, puts forward a kind of grounding fault location method of neutral point small resistance grounding grid, and finally designs and implements the grounding fault location system.
Engine Cooling Device of New Energy Vehicle
Authors: Liu Feifei 
Published: November 2021

Abstract
With the environmental pollution and the shortage of oil resources becoming more and more serious, the development and application of new energy vehicles have attracted more and more attention. Engine is an important part of new energy vehicles, and its performance has a great impact on the vehicle. Compared with traditional industrial motors, new energy vehicle engines have higher requirements on power density, and the improvement of power density poses new challenges to the design of motor cooling system. The purpose of this paper is to study the engine cooling device of new energy vehicles and improve the overall performance of the vehicle. The main research content of this paper is to lay a foundation for the theoretical basis of the engine cooling device, elaborate the working principle of the motor cooling system and the loss of the motor in operation. Then, the heat dissipation system of permanent magnet synchronous motor based on heat pipe is studied experimentally. Aiming at the problem of only considering the temperature rise and ignoring the pressure loss in the flow channel design, a flow channel design method considering the motor temperature rise and the flow channel pressure loss is proposed, and the motor flow channel is optimized. The test results show that the maximum temperature rise at the end is close to 16.56 °C, which is in good agreement with the simulation results. It shows that the heat pipe based heat dissipation system can effectively reduce the temperature rise of motor winding, which provides a new idea for the heat dissipation design of permanent magnet synchronous motor