bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Topology and Security Behaviour Intelligent Analysis by Hybrid P2P Traffic
Authors: Wang Yike , Feng Yuhang , Shang Longshan , Zhang Haonan , Zhang Boshen 
Published: August 2021

Abstract
At present, most of the popular P2P topology sharing systems are based on unstructured P2P topology. This topology uses flooding method to spread query information, which has good stability, but the efficiency is very low. According to the changing characteristics of the communication attribute state of the network behavior which occupies a large network bandwidth and communicates more frequently, an attribute migration state-oriented network communication behavior analysis method is proposed. The research on the identification of P2P traffic is of great significance for the management of P2P network. In view of the shortcomings of the current P2P traffic identification methods, such as large error and unstable identification results, in order to improve the identification effect of P2P traffic, a P2P traffic identification method based on neural network is proposed. This paper proposes a network file sharing system Kapa, which is based on a hybrid hierarchical P2P topology, which combines the advantages of unstructured and structured P2P topology and has strong practicability. The recognition effect and reliability of this method for P2P applications are verified.
Research on Intelligent Evaluation Model of Global Food System Using Analytic Hierarchy Process with Statistics and Calculations
Authors: Jiang Xiaoxuan , Li XinNing , Zuo YiFan 
Published: August 2021

Abstract
In order to cope with the instability of the current global food system, this paper established a global food system evaluation model and a global food system optimization model. We reimagine and determine the priority of the food system, conduct a comprehensive and reasonable assessment of the current food system, optimize it according to the current situation and predict the time required for the implementation of the system and the changes it will bring. We have established a global food system evaluation model. We begin with constructing a strict agreement-based global food system indicator system, consisting of 4 measurement dimensions and 21 indicators and their characteristics. (The four dimensions of the metrics are environment, society, food security and nutrition, and economy. The 21 indicators include 7 environmental indicators, 3 economic indicators, 3 social indicators, and 14 food and nutrition indicators) Next, depend on a large number of statistics and calculations, the Spearman correlation coefficient between the indicators is obtained. The Spearman correlation matrix is made to measure the correlation and correlation between the indicators. Then, we use the correlation as a reference to determine the weight of each indicator through the analytic hierarchy process and sort them.
A study on the development of computer-aided design in the context of artificial intelligence
Authors: Wu Xin , Yang Fengqi 
Published: August 2021

Abstract
With the rapid development of social economy, Internet technology has been widely used, and in this social environment, artificial intelligence has been highly valued by all walks of life, which has brought a great impact on the development of all walks of life, and in this regard, the art and design industry is also the same. This paper does an in-depth study, firstly, it gives a brief introduction to artificial intelligence, then analyzes the artistic expression of artificial intelligence, and the limitations of artificial intelligence design, and finally discusses the application and development of art design in the context of artificial intelligence.
Application of PREEvision in Functional Intelligent Safety Design for Integrating Automotive Electronic and Electrical Architecture
Authors: Zhou Xuan , Hou Zhiwen , Meng Xianghu , Zhou Xin , Fang Jia , He Zhifa 
Published: August 2021

Abstract
With the increase of people’s attention to car safety and the introduction of functional safety, designers have changed their thinking from fault-based to functional-based safety architecture design. PREEvision, an architecture design tool, can integrate automotive electronic and electrical architecture design and integrate functional safety design into it, which greatly simplifies the design process and design time, and at the same time can also reduce the probability of product failure to Improve security.
Application of Minimum Spanning Tree in the Solution of Forest Fire Intelligent Drone Deployment
Authors: Liu Dongxiao , Zhao Tianyi 
Published: August 2021

Abstract
In recent years, devastating wildfires have occurred in all states of Australia, and the wildfires in eastern Victoria have been extremely affected. In order to prevent the disaster from happening again, we built a model to warn the wildfires in Victoria. First, we extracted the Victorian fire data from NASA’s official website. After sorting by credibility and flame temperature, we performed grid division and labeling based on latitude and longitude and the number of fires per unit time. Then, we used the k-means method to cluster the locations of wildfires, and obtained three clusters. Second, we divide wildfires into two categories, wildfires near the cluster center and others not. Among them, 3 regions are near the cluster center, and 4 region is away from the cluster center. For wildfires near the cluster center, remote sensing detection drones are used to fully cover the fire, and use the minimum spanning tree algorithm to solve the position of the repeater drone. For other wildfires, we establish a nonlinear programming equation to find the combination of drones with the lowest rate for the alarm missed by the fire, and get the number of telemetering drones is 65, the number of repeater drones is 49. Third, we map the data of different distances in the three-dimensional topographic map to the two-dimensional plane according to the geographic data of Victoria, and use the Dijkstra algorithm to obtain the approximate distance between the two points in the given point set. Then use the minimum spanning tree to solve, get the number of telemetering drones is 65, the number of repeater drones is 52, it is still close to the solution of model 1 after adding the terrain, indicating that the optimization result is successful.
Research on Intelligent Detection and Improvement Technology of Urban Rail Transit Electromagnetic Compatibility
Authors: Wan Jia 
Published: August 2021

Abstract
The design and installation of the rail transit power supply system should be completed under the premise of careful comparison with relevant national standards. The problems of electromagnetic compatibility and electromagnetic interference in urban rail transit engineering involve a wide range of subjects, and have the problems of being neglected, forgotten, and mixed. In order to solve this problem, this paper proposes an electromagnetic compatibility design for urban rail transit in a complex electromagnetic environment. In this design, electromagnetic interference sources, coupling paths and sensitive equipment are analyzed in detail, and electromagnetic coupling path cutting technologies such as grounding, shielding, filtering and wiring are strictly designed to meet the electromagnetic compatibility requirements of urban rail transit.
Research on the Practical Application of Visual Knowledge Graph in Technology Service Model and Intelligent Supervision
Authors: Yu Jun , Zhang Yintie , Wu Yu , Mao Linhui 
Published: August 2021

Abstract
The paper analyses the relevant elements of enterprise technical services in combination with the relevant knowledge service requirements of enterprise technology management. On this basis, based on enterprise information extraction technology, enterprise knowledge reasoning technology, machine learning technology, etc., it constructs an enterprise technology service model of knowledge graph. The model is divided into five levels: data acquisition layer, data processing layer, technology fusion layer, technology discovery layer, and technology application layer. The knowledge graph is integrated into the enterprise technology service platform to visualize the organizational form of technology management, which makes the enterprise technology service platform more relevant, and the enterprise business solutions are more intelligent and personalized. The research results obtained in the thesis promote the in-depth and universal development of the enterprise technical service model theory, and provide practical reference for improving the enterprise technical service level.
Application of Machine Learning and CoVaR Model on Intelligent Decision Method
Authors: Yang Zheyu , Dai Anna 
Published: August 2021

Abstract
The traditional asset allocation model does not take into account the spread of systemic risk in the process of portfolio optimization, which will lead to great losses in the portfolio when facing financial risks, especially extreme risks. In order to solve this problem, this paper improves the efficiency frontier of Markowitz, takes the factors that cause changes in the rate of return on individual underlying assets into the consideration of systemic risk, applies CoVaR model to measure the spread of systemic risk, and constructs a new asset allocation model based on Mean-CoVaR. The results show that when considering systemic risk shocks, the impact of systemic risk diffusion on Mean-CoVaR portfolio is significantly lower than that of traditional Mean-Variance portfolio. And Mean-CoVaR model is more efficient for portfolio allocation.
A Fast Correction Algorithm for Inverse Longitude and Latitude Mapping of Fish Eye Image
Authors: Li Xingxing , Duan Chao , Yin Panpan , Wang Xingning 
Published: August 2021

Abstract
In order to solve the problem of large barrel distortion in fisheye lens, an image distortion correction algorithm based on double longitude is proposed to improve the visual effect. Firstly, in the case of unknown lens angle and non-circular fisheye image, the spherical center and its radius are obtained by using fisheye image features, and the radius is optimized to reduce pole distortion; on this basis, the fisheye image is mapped to the spherical surface by orthogonal projection strategy using double longitude model method, which is transformed into the transverse longitude and longitudinal longitude coordinates of the sphere The projection is a square plane image based on the horizontal and vertical double longitude coordinates to realize the fast and accurate image transformation.
Application of Multi-terminal Pilot Protection Algorithm in Network Information Big Data for New Feeder Automation Terminal
Authors: Zheng Jianning 
Published: August 2021

Abstract
With the development of big data and Internet of Things technology, society has put forward higher requirements for the safety and reliability of the power grid. In order to improve the overall power supply quality, the State Grid Corporation changed the previous concept of focusing on power transmission and light distribution, and increased its investment in the field of distribution network, which ushered in its own spring for the entire power distribution industry. This article aims to study the application of big data-based multi-terminal longitudinal directional protection algorithm in the new feeder automation terminal. Based on the introduction of the development status of feeder automation, the existing problems and the workflow of the multi-terminal longitudinal protection system, the multi-terminal longitudinal protection system is analyzed. The application of the directional protection algorithm in the feeder automation terminal. Finally, the treatment of abnormal situations is studied. The research results show that the new type of feeder automation terminal only needs to exchange the comprehensive information of the fault to independently detect and isolate the fault. This multi-terminal protection the structure has high flexibility and can quickly isolate faults, which can meet the protection requirements of the new feeder automation terminal.
Application of support vector regression in prediction model using genetic algorithm optimized
Authors: Du Wenke , Chen Ruihan , Cong Zhenglong 
Published: August 2021

Abstract
No matter in any period, housing is the most basic demand of people’s life, and it is closely related to people’s daily life. Although many domestic and foreign experts have done research and prediction on housing prices, the causes of housing prices are complex, and the results of housing price research in different regions and different periods are very different, and most forecasting models have limitations in the use of them. Therefore, this article is based on the performance of support vector regression depends on the characteristics of key parameter selection, and uses genetic algorithm to optimize the penalty parameters, kernel function parameters and insensitive loss function of the support vector regression model. The optimized parameters are used to establish a support vector regression prediction model, and the housing price is predicted through the prediction model. The simulation results show that the convergence speed and prediction accuracy of the support vector regression prediction model optimized by genetic algorithm have been greatly improved, and the prediction results verify the feasibility and effectiveness of the model..
Machine Learning and Artificial Intelligence Applied in the Research of the Emotions Impact on Forecasting
Authors: Jiang Yaokui , Zuo Yi , Yang Yudong 
Published: August 2021

Abstract
According to the behavioral finance theory, the psychology and behavior of investors in capital market have an important impact on the fluctuation of stock index. Therefore, this paper assumes that there is a certain internal mechanism between investor sentiment and stock index, which can predict the overall price change of the stock market. The text mining technology and sentiment analysis method can be used to generate a total of six categorypositive and negativeinvestor sentiment time series data, with three orders; The methods such as unit root test, Granger causality test and factor analysis are used to construct the composite index of SSE investor sentiment, and then the support vector machine and neural network are adopted to predict the stock market price changes and conduct the hypothesis verification. The results indicate that the SSE investor sentiment composite index constructed by using the text data of online stock market forum and stock transaction data can improve the accuracy of stock index trend prediction, which is conducive to better decision-making of the government, online platforms, listed companies, and investment entities.
Application of Running Speed Coordination on the Analysis of Road Alignment Intelligent Recognition
Authors: Wei Jun , He Jia , Meng Weiwei , Gao Lixia 
Published: August 2021

Abstract
For road alignment design, the design speed is the control basis of the current road design and determines the minimum index value of the route alignment design elements. The actual driving speed is important to measure and check the rationality of the route design index and whether the coordination is appropriate. According to the basis, the change range of its operating speed objectively reflects the balance of the linear index and the continuity of the road linear design. Based on the coordination of operating speeds, this paper analyzes the route of the reconstruction project of the 207 National Road (K3075+800—K3077+600) in the Guangdong-Guizhou County Economic and Industrial Cooperation Demonstration Zone (Xindu Industrial Zone), and takes the ratio of the operating speed difference between adjacent sections as the analysis. Indicators, the results show that the line shape of this section of the project is reasonable.
Design of Bionic Robot Fish Propelled by Two Joint Caudal Fin
Authors: Wu Renxiang , Du Gang , Liu Zheng , Zhang Dongxia , Yu Yingjie 
Published: August 2021

Abstract
The research of biomimetic robot fish has always been the focus of related fields of underwater robots. And the idea of underwater fish propulsion can be widely applied in scientific research, industrial and military fields. In this paper, a bionic tail fin propelled bionic robot fish is designed, and the corresponding program is designed and programmed through hardware circuit to realize the pipeline cruise inspection, Bluetooth communication control and the realization of image return by camera. The designed robotic fish can complete pipeline cruise and other tasks underwater.
Research on Music Copy Generation Method of Smart Speakers
Authors: Huang Yangyang , Luo Huang , Qin Fangyun 
Published: August 2021

Abstract
Smart speakers have become more and more popular in recent years with the continuous development of artificial intelligence. In daily life, dialogues between users and smart speakers can realize music play now. Currently, most manufacturers have made smart speakers directly play the song that the user wants to listen to, or inserted a fixed-style copy before playing. To provide users with a better music experience and allow users to have a deeper understanding of songs, a radio-like approach is planned to be adopted, inserting some personalized music copy before smart speakers play music. In this article, TextRank-based automatic text summarization and keyword extraction methods are used to efficiently and automatically generate short, appropriate, and personalized music copy from the song library, and insert the copy before the smart speaker plays the song. This will not only increase the users’ music experience, but also allow users to express their emotions with music as sustenance. The research on the music copy generation technology of smart speakers can not only improve the music experience of users but also has a great impetus to improve the functions of smart speakers.
Intelligent public transport cloud platform dispatching operation management system development
Authors: Gao Junpeng , Hong Xing , Liu Gengqi , Wang Lin 
Published: August 2021

Abstract
In recent years, with the rapid development of various cities, the operation and maintenance of the public transport system has become increasingly prominent problems, the development of the intelligent public transport system has been imperative. This paper takes the intelligent public transport system as the research object, using wireless network transmission technology, big data retrieval and processing, cloud computing platform and other technologies, analyzes the main requirements of the intelligent public transport system. This system adopts the classic three-layer architecture of the Internet of Things, namely, the perception layer, the network layer and the platform layer. Intelligent public transport dispatching system is the core system of intelligent public transport. The paper uses frog leaping algorithm as the dispatching algorithm to realize the function of public transport dispatching. Through the test, it can complete the task of adding or reducing vehicles according to the increase or decrease of passenger flow. The design and implementation of the cloud platform provides a strong support for the renewal and development of modern urban public transportation system, and has a certain guiding significance. As a complete system with more rapid and accurate management, more convenient and efficient operation, it improves the public transport dispatching ability and improves the travel experience of passengers, and has a cross-era significance for the development of urban public transportation.
Research on Double Hanging Point Hydraulic Synchronous Control System Based on Fuzzy PID
Authors: Jiao Deqiang , Wang Dinghao 
Published: August 2021

Abstract
Hydraulic hoist is required to open and close the gate. In recent years, scholars have studied a lot of different types of hydraulic hoist, in which the double point hydraulic hoist is one of them. Double point crane hydraulic hoist mainly uses the hydraulic synchronous system. In this paper, the hydraulic synchronous system as the research object, through the electrohydraulic proportional speed control valve research, analysis of its working principle. Then, the traditional PID control method and the fuzzy PID control method are compared and analyzed. It is found that the fuzzy PID control ability is better than the traditional PID control method. Fuzzy PID realizes hydraulic synchronization by adjusting the electro-hydraulic ratio of speed control valve.
Forest Wildfire Monitoring and Communication UAV System Based on Particle Swarm Optimization
Authors: Yang Jiahui , Qian Juncheng , Gao Hongwei 
Published: August 2021

Abstract
Forest fire is one of the major disasters faced by the society at present. During the drought every year, devastating wildfires often occur all over the world, causing serious economic losses and life injuries. The effective layout of unmanned aerial vehicles in the monitoring system is the key to effectively prevent forest wildfires. Wildfires occur suddenly and rapidly, and most of them occur in dense forest areas which are difficult for firefighters to reach. Considering the factors of economy, security and capability, an efficient and accurate integrated optimization layout model of UAV is proposed. The UAV monitoring system based on this model can make the emergency operation centre best guide the active crew through two-way radio communication, so as to achieve the best effect and maximum safety. We optimized the number and combination of drones by using optimization algorithm, and got the highest scoring drone procurement plan in different types of areas. For example, when meeting low terrain without obstacles, the optimal number of drones for SSA is 20 and for Radio Repeater is 1 in high risk. Finally, we analysed the influence of global climate change, fire scale, UAV density and terrain on the optimal location of UAV.
Design of Tunnel Automatic Monitoring System Based on BIM and IOT
Authors: Qian Haotian 
Published: August 2021

Abstract
At present, the application of BIM and IoT in construction is more and more common. However, few studies combine BIM with IoT for real-time monitoring of mountain tunnels. This paper have designed a tunnel automatic monitoring system based on BIM and IoT. Various sensing devices are arranged inside the tunnel to collect deformation, groundwater level and other monitoring data. Satellite monitoring data is collected through GNSS outside the tunnel. The above information is dynamically transmitted to the cloud computing platform by using the NTRIP and ZigBee wireless communication technology. At the same time, the data in the construction drawings are imported into the 3D model by BIM technology to informationize the tunnel model and visualize the monitoring data. This can effectively reduce the accident rate and improve the efficiency of tunnel construction management. At the same time, it provided a new idea for the joint application of BIM, IoT and GNSS in tunnel automatic monitoring system.