bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Algorithm System for Generation and Creation by Computer Artificial Intelligence and Support Vector Machine
Authors: Wu Xuan 
Published: December 2021

Abstract
Algorithmic composition is also called automated composition. It is an attempt to use a specific form of process. Composers make full use of computers to carry out music creation and reduce their access. In this paper, based on the standard support vector machine (SVM) learning neural network, the least square support vector machine (LS-SVM) is combined with the recurrent neural network, and a new least square support vector machine learning neural network is proposed. The article realizes the efficient end-to-end multi-dimensional sound wave time series generation model Music-coder, through which the music style music of the famous singer Jay Chou is generated, and the quantified similarity with the real Jay Chou music data set reaches a maximum of 97.73%. The project in this paper shows that intelligent algorithm as a composition tool for music generation and creation is an effective music production program and will bring new development to music production.
Large-scale Network Survivability Mathematical Association Model under Set Pair Analysis Theory
Authors: Li Jiayi , Zhu Xiaoqing 
Published: December 2021

Abstract
With the expansion of the application field of robots, the use of eight-legged bionic robots to assist or replace human operations in various complex and extreme terrains is constantly being explored. This paper uses octopus as a bionic object, designs an eight-eccentric wheel walking platform, and studies its dynamics, kinematics and trajectory planning. This paper first investigates the development history and research status of multi-legged robots in many countries, analyzes the shortcomings of octa-legged robots, and proposes improved solutions on this basis. Through the bionic of the octopus structure, the Catia software is used to design and establish a three-dimensional model of the octopus-like eight-eccentric wheel robot. By importing the three-dimensional model into the dynamic analysis software Adams for simulation, after adding constraints, driving, torque and contact force, the various functions of the platform are simulated to obtain linear wheel walking, rotary motion, linear leg walking, the parameters of jumping motion and obstacle-crossing motion are drawn into tables for intuitive analysis, and virtual prototype simulation is used to verify the correctness of the established model and trajectory planning.
The research in this paper lays a theoretical foundation for the development and application of this eight-eccentric wheel bionic robot.
Aspect-level sentiment analysis merged with knowledge graph and graph convolutional neural network
Authors: Dai Zuhua , Liu Yuanyuan , Di Shilong , Fan Qi 
Published: December 2021

AbstractAspect level sentiment analysis belongs to fine-grained sentiment analysis, w hich has caused extensive research in academic circles in recent years. For this task, th e recurrent neural network (RNN) model is usually used for feature extraction, but the model cannot effectively obtain the structural information of the text. Recent studies h ave begun to use the graph convolutional network (GCN) to model the syntactic depen dency tree of the text to solve this problem. For short text data, the text information is not enough to accurately determine the emotional polarity of the aspect words, and the knowledge graph is not effectively used as external knowledge that can enrich the sem antic information. In order to solve the above problems, this paper proposes a graph co nvolutional neural network (GCN) model that can process syntactic information, know ledge graphs and text semantic information. The model works on the “syntax-knowled ge” graph to extract syntactic information and common sense information at the same t ime. Compared with the latest model, the model in this paper can effectively improve t he accuracy of aspect-level sentiment classification on two datasets.
Computer Intelligent Comprehensive Rapid Risk Assessment System of Barrier Dam by Fuzzy Analytic Hierarchy Process and Big Data
Authors: Xue Danxuan , Duan Yan , Meng Weiwei 
Published: December 2021

Abstract
Barrier dam overall stability and dam break influence degree are the two risks. In order to comprehensively and quickly evaluate the risk of barrier dams, the dam height, the capacity of the barrier lake and the material composition of the dam body are selected as the stability evaluation indexes; the dam failure degree and the risk population and the potential economic loss are taken as the evaluation indexes. Based on the fuzzy hierarchy theory, this comprehensive and rapid risk assessment system of barrier dam is obtained, which is clear, intuitive and rapid, combining qualitative indexes and quantitative indexes.
Smart image recognition system based on machine vision
Authors: Li Lei , Liu Fenggang 
Published: December 2021

Abstract
This paper proposes an efficient and accurate method of two-dimensional code recognition for industrial actual projects, and develops a high-speed and batch two-dimensional code recognition system based on machine vision. Firstly, according to the position of the QR code in the target subspace, a method to locate the region of interest of each QR code by using geometric relationship and batch processing QR code is proposed. On this basis, Gaussian noise is added to simulate the possible noise in production practice, and the anti-noise ability of the system is evaluated. Finally, the relationship between system recognition rate and QR code movement speed is analyzed and the experimental results are compared. The experimental results show that the system can meet the requirement of real-time online detection.
Comparison and analysis of several instantaneous reactive power calculation methods
Authors: Hu YiWen 
Published: December 2021

Abstract
Briefly describes several more common algorithm of reactive power when the input signal is a sine signal and research all kinds of reactive power calculation method, through matlab using the theory of monte carlo random multiple sets of random number them as the amplitude and phase Angle of voltage, current, the different calculation method of the size of the instantaneous reactive power, To get the best calculation method. Multiple groups of random numbers can avoid the error caused by using only one set of data for testing in existing papers.
Computer Mathematical Statistics Analysis of downscaling data of different vegetation index inversion TRMM
Authors: Qu Shuangbao , Zhao Miaoxing , Deng Shuo 
Published: December 2021

AbstractThis paper uses enhanced vegetation index (EVI) data, normalized vegetation index (NDVI) data, DEM, aspect data, and TRMM3B43 (V7) data, based on a geographically weighted regression model (GWR), and uses a statistical downscaling method to achieve Central China Downscaling of regional TRMM data from 2010 to 2019. The research results show: (1) TRMM data has good applicability in Central China, and the R2of TRMM data and weather station measured data is above 0.8. (2) Improve the ground resolution from 0.25°×0.25° (approximately 27.5km×27.5km) to 1km×1km while ensuring the same accuracy as the original data. (3) Overall, the accuracy of EVI downscaled precipitation data in Central China is better than that of NDVI downscaled precipitation data.
Mathematical model and calculation of safety and stability evaluation of underground space engineering by TOPSIS and analytic hierarchy process
Authors: Zhu Henghua , Li Xin , Jia Chao , Liu Chunhua , Zhu Xiao , Liu Zhizheng , Wei Zhengrun , Li Hu , Tang Junping 
Published: December 2021

Abstract
The development of economy promotes the development of urbanization, and the power of urban space engineering, so the stability research of urban underground space engineering is very important. Although the existing evaluation models can consider a single form of underground space safety problems, they seldom consider the uncertainty of cross-blending of multiple information types within a certain interval, and cannot continuously express the quantitative results of the suitability assessment of urban underground space. This paper takes an underground tunnel in China as the research background, calculates the weight of the selected construction stability index through the analytic hierarchy process, and finally evaluates the stability of different sections of the project by TOPSIS method, and draws the corresponding conclusions.
Safe Distance Mathematical Calculation and Quantitative Analysis on Covid-19 Using Einstein Equation and Gaussian Distribution
Authors: Miao Hanwen 
Published: December 2021

Abstract
Most of the diseases caused by virus mainly spread through droplets in the air. The pathogen bearing droplets go deep into people’s lungs and cause infection. In this paper, we analyze the safe distance, the minimum range to keep droplets containing virus particles from entering lungs, and thereby carrying the virus inside the lung. Einstein equation for diffusivity of a particle and the wide of the Gaussian distribution of the particles in Brownian movement are used in the calculation of the range a virus-containing mucosal vary droplet can reach. Moreover, we used datas recorded in a previous paper named “Visualization of sneeze ejecta: steps of fluid fragmentation leading to respiratory droplets” by B. E. Scharfman et. all to generate our results.
Research on Precise Control of a Cylinder Delay Oscillation System Based on Response Surface and Genetic Algorithm
Authors: Bao Zhongfu , Zeng Dejiang , Gu Runxi 
Published: December 2021

Abstract
A cylinder time-delay oscillation system can be constructed by using air bag and throttle valve. The air bag and throttle valve are used to realize the time-delay transmission of pressure in the feedback circuit, and the feedback pressure is used to promote the reversing of two position five-way valve, so as to realize the reciprocating action of the cylinder. The experimental design is carried out based on the simulation analysis, and the response surface is constructed based on the experimental data to clarify the relationship between the cylinder dwell time and the main component parameters. Based on response surface, genetic algorithm is used to search for the best control parameters to realize the accurate control of cylinder dwell time.
Study on an efficiency algorithm for the opening middle tap of steam feed pump
Authors: Zhu Lingkai , Wang Qian , Gao Song , Han Yue , Zhong Ziwei , Zheng Wei , Shang Panfeng , Guo Junshan 
Published: December 2021

Abstract
This paper presents a method for calculating the efficiency of steam feed pump, which fills the literature gap in calculating the efficiency of steam feed pump when the middle tap of feed pump is opened. This method has the advantages of convenient measurement and few measurement parameters. Combined with IFCIFC-97 industrial water and steam thermodynamic property model, the efficiency of feed pump can be calculated
Research computer numerical simulation on heat dissipation model of submarine data centre based on TOPSIS model
Authors: Qin Rui , Zhang Man , Chen Lijie , Liu Xiao , Lei Zhengtao , Shi Guoyong , Zhou Tianwen , Hou Guiwen 
Published: December 2021

Abstract
Due to the huge energy consumption of land-based data centers, it is necessary to establish undersea data centers as soon as possible in order to alleviate the problem of resource tension. In this paper, the uniformity of containers is assumed. Through force analysis, it is found that the stress of containers is uniformly distributed, so only the external stress should be considered. Hypothesis submarine data center in the 50 m deep seawater, calculate the container need to withstand stress is 76.417403 Mpa, common material in engineering field, then physical parameters of material to deal with the dimensional and normalization, and establishes a comprehensive evaluation model material, the Topsis method is adopted to solve, to solve the optimal evaluation of the results can be divided into: 7-4 PH Stainless Stee 0.7450 points, so choose it as IU server container material.
Construction of elliptic stochastic partial differential equations solver in groundwater flow with convolutional neural networks
Authors: Pang Xue , Wang Jian , Yin Faliang , Yao Jun 
Published: December 2021

Abstract
Elliptic stochastic partial differential equations (SPDEs) play an indispensable role in mathematics, engineering and other fields, and its solution methods emerge in endlessly with the progress of science and technology. In this paper, we make use of the convolutional neural networks (CNNs), which are widely used in machine learning, to construct a solver for SPDEs. The SPDEs with Neumann boundary conditions are considered, and two CNNs are employed. One is used to deal with the essential equation, and the other satisfies the boundary conditions. With the help of the length factor, the integrated neural network model can predict the solution of the equations accurately. We show an example of groundwater flow to evaluate the model proposed with Gaussian random field (GRF). The experimental results show that the proposed neural network solver can approximate the traditional numerical algorithm, and has high computational efficiency.
Computer Big Data Technology in Internet Network Communication Video Monitoring of Coal Preparation Plant
Authors: Chen Hao , Zi XinLi , Zhang Qing , Zhu YuGe , Wang JiaYin 
Published: December 2021

Abstract
The paper uses the control technology of computer big data and PLC, fieldbus communication technology and video monitoring technology to research, design and develop the monitoring system of the coal preparation plant’s production process. In this plan, the coal preparation plant’s video monitoring system, production centralized control system and other production support systems are fully integrated through network technology, to achieve the purpose of improving its safety guarantee function. The system improves the level of visual management, realizes unattended operation, and reduces potential safety hazards.
Simulation study on pitch system of floating wind turbine
Authors: Chen Dianhui , Li Jianguo , Hong Xuanyu , Chen Diankai 
Published: December 2021

Abstract
Due to the complex sea conditions, floating wind turbines produce unbalanced loads. Firstly, this paper will take NERL-5MW floating wind turbine as the model, and apply brainstorming algorithm (BSO) to the independent pitch system based on PID azimuth weight coefficient. Then, a joint simulation will be carried out in OpenFAST-Matlab/Simulink to study its impact on the load of floating wind turbine. Finally, the simulation results reveal that compared with the independent pitch system based on PID azimuth weight coefficient, the proposed method can reduce the load of the floating platform to a certain extent.
Design of electric power emergency communication system based on multi-network integration
Authors: Sun Xiaoguang , Geng Jianyu , Liu Kai , Wang Yuanzhi , Wang Zhipeng 
Published: December 2021

Abstract
Natural disasters and emergencies generally pose serious threats to power facilities. Therefore, it is necessary to establish an efficient electric power emergency communication (EPEC) system. Existing systems based on a single network carrier (for example,4G, satellite, and Wi-Fi) may not meet the requirements of complex environments. We design a new EPEC system based on multi-network convergence technology by integrating the above three network carriers. It overcomes the limitations of single network carrier and improves the efficiency of power emergency communication. The test results show that the system can improve the transmission line bandwidth, automatically switch to the optimal signal network, and guarantee the security and stability of data transmission.
Research on Computer Assisted Intelligent Emission System of High-rise Building Based on BIM Technology and Wireless Automatic Monitoring
Authors: Huang Xinyao 
Published: December 2021

Abstract
In response to the needs of low-carbon design and carbon emission measurement of public buildings, we use advanced information tools, building information model BIM technology to solve these problems, and from the perspective of strategic development, we will establish a set of home improvement design systems based on BIM technology for unification Three-dimensional home improvement design. The system includes analysis of thermal performance of high-rise building decoration and building light environment, and proposes optimization countermeasures for low-carbon design.
Discrete wavelet transform processing system based on digital watermarking algorithm
Authors: Shi Miao 
Published: December 2021

Abstract
This paper introduces the concept of multimedia digital watermarking and summarizes the current technology status. This paper summarizes the research status and basic principle of digital watermarking. The advantages of digital watermarking algorithm based on wavelet transform are analyzed. The proposed algorithm combines Arnold scrambling method and DWT transform multi-resolution characteristics, and adopts linear and different embedding strength methods. Effectively improve the security of the watermark. According to the classification results, different intensity watermarking components are embedded into the DCT low frequency coefficients of different image blocks. Experimental results show that this algorithm has strong masking and robustness, and the watermarking realized by using the proposed algorithm has good robustness against common image processing and noise interference.
Design of Massive Image Duplicate Search Algorithm in Cloud Computing Environment
Authors: Yao Shunyu 
Published: December 2021

Abstract
Massive image replay algorithm adopts cloud computing technology to realize image uploading, processing and classification on cloud platform. Image classification is realized by image classifier. Zernike matrix was used to compare the classified images and determine the pseudo-edge blocks around the image. According to the pixel value of the image, the binarization method was used to process the image. After processing, edge detection and line detection were carried out to determine the real image size. The similarity of two real images is calculated by normalized similarity criterion, and the image repetition is judged accordingly. The results show that the accuracy of the algorithm is higher than 99%, and the accuracy of the algorithm is higher than that of the comparison algorithm, and the accuracy of the algorithm is the highest when the similarity threshold is 0.8∽0.9.
Research of artificial intelligence in computer network technology
Authors: Zhou Yifei 
Published: December 2021

Abstract
At present, China has gradually entered the era of computer network, which is widely used in daily life and production. The previous information operation mode and information database can no longer meet the needs of the current stage of work. Its birth not only improves the defects in the previous computing network technology, At the same time, with its efficient information collection, analysis and processing functions, people’s living standards and work efficiency have been significantly improved. Based on the concept, characteristics and application advantages of artificial intelligence technology, this paper further analyzes the key points of application, hoping to provide powerful help for relevant enterprises or units at the present stage.
Adversarial Erasing method based on graph neural network
Authors: Liu Shuhan 
Published: December 2021

Abstract
Semantic segmentation is a traditional task that requires a large number of pixel-level ground truth label data sets, which is time-consuming and expensive. Recent developments in weakly-supervised settings have shown that reasonable performance can be obtained using only image-level labels. Classification is often used as an agent task to train deep neural networks and extract attention maps from them. The classification task only needs less supervision information to obtain the most discriminative part of the object. For this purpose, we propose a new end-to-end counter-wipe network. Compared with the baseline network, we propose a method to apply the graph neural network to obtain the first CAM. It is proposed to train the joint loss function to avoid the network weight sharing and cause the network to fall into a saddle point. Our experiments on the Pascal VOC2012 dataset show that 64.9% segmentation performance is obtained, which is an improvement of 2.1% compared to our baseline.
Research on resource allocation strategy of data center based on cloud computing
Authors: Ji Shanshan 
Published: December 2021

Abstract
With the development of Internet and information technology, cloud computing has attracted extensive attention from industry and academia. The large scale of resources, concurrent execution of multiple tasks and dynamic changes of application resource requests make the resource allocation of data center face severe challenges. To solve the problem of low balance of traditional resource allocation, this paper focuses on the resource allocation optimization of data center, and proposes the resource allocation strategy of data center based on cloud computing, so as to complete the effective resource allocation and assignment. This paper also verifies the designed resource allocation method through example research. The research shows that the distribution balance degree of resource allocation strategy based on cloud computing is significantly higher than the control group, which proves that the designed resource allocation strategy can solve the problem of low balance of traditional resource allocation.
Research on machine learning Algorithm optimization based on 0-1 coding
Authors: Qin Yuqi 
Published: December 2021

Abstract
Machine learning algorithm is the core of artificial intelligence, is the fundamental way to make computer intelligent, its application in all fields of artificial intelligence. Aiming at the problems of the existing algorithms in the discrete manufacturing industry, this paper proposes a new 0-1 coding method to optimize the learning algorithm, and finally proposes a learning algorithm of “IG type learning only from the best”.
Design and Realization of Garage Access Control System Based on STM32 microcontroller minimum system technology
Authors: Wang Yuanyuan 
Published: December 2021

Abstract
This paper designs and implements a community access control system based on STM32 microcontroller minimum system technology. A power unit composed of steering gear and simple lifting rod device is designed. According to the actual demand, a display device composed of buzzer alarm device and display screen is designed. Considering the need of camera recognition, the program of camera recognition process is designed, the database is written, and the license plate of this area is stored in advance. The system can make the license plate can be recognized by the camera automatically, and through the comparison with the database, the lifting rod or the buzzer alarm is realized. The access control system is of great significance to the control of vehicle entering and leaving and the safety of the community.