bluuebunny/crossref_metadata_2025_split huggingface dataset:
Face Recognition Algorithm Comparison based on Backpropagation Neural Network
Authors: Li Pan , Zhang Qian 
Published: April 2021

Abstract
Face recognition is a hot research direction in the field of computer in recent years. Due to the constant update and progress of computer hardware technology and software algorithm, face recognition technology is becoming more and more perfect, and face recognition technology starts to appear in different fields. Because of the high security of face recognition, we can design a face recognition access control system based on backpropagation neural network. This paper mainly compare three different face recognition algorithms based on matlab and test the accuracy of these algorithms.
Research on the Application of Computer Informatization in Human Resource Management
Authors: Wang Taiyou 
Published: April 2021

Abstract
Personnel Management Information System (HR-MIS) has played an active role in personnel management, but most of them are limited to the modular management of queries, and have certain professional knowledge requirements for users. Traditional personnel file management adopts manual information entry method, which is inefficient and error-prone. The personnel file management system based on the B/S mode is designed with WEB form, and the personnel file entry, query and rewards and punishments are managed in a networked manner, which simplifies the personnel file management procedures and reduces the work intensity. The aim is to increase the communication and understanding between managers and employees through the design and implementation of this system.
Research on the New normal Technology and Application of artificial Intelligence in the Internet of things
Authors: Gao Xiang , Li Qixuan , Liu Fengrui 
Published: April 2021

Abstract
Traditionally, artificial intelligence is only a system that replaces human beings to realize specific tasks under specific technological conditions. However, from the perspective of the latest development, it has the conditions to integrate into the construction of new infrastructure, promote national economic transformation and development, and undertake the mission of “technological revolution”. As 3GPP announced the freezing of the second version of 5G standard specification R16 on July 3, 2020, the problem of mass data, system facilities and terminal equipment interconnection has been solved at the level of communication infrastructure, which indicates that the speed of artificial intelligence technology application will be greatly improved. Intelligent science and technology has become a hot topic of technological reform in contemporary society. It not only provides necessary production tools for the development of various fields, but also becomes an important development trend of technology in contemporary society. With the improvement of technical level and the improvement of the management system, obtained the rapid development of Internet of things fields, in people life, tandem residents live in information technology, Internet technology as the core, combining information technology and items, and enhance the level of Internet of things technology as much as possible, for the life and science and technology bring more convenience.
Dual channel sentiment classification model based on grammar rules and multi attention
Authors: Yi Xianjin , Li Chen 
Published: April 2021

Abstract
As convolutional neural networks (CNN) and recurrent neural networks (RNN) have achieved excellent results in the field of Chinese text sentiment analysis. More and more researchers are extracting features of text based on the advantages of CNN and RNN in extracting features. However, the current scholars fail to make full use of sentiment language resources such as sentiment words, negatives and degree adverbs when they adopt deep learning methods. For implicit texts without explicit sentiment words, they cannot fully identify the differences between words and sentiment tendency. At the same time, it fails to consider the grammatical structure of the text, which leads to poor classification effect for some turning sentences or summary sentences. In addition, most of the models are mainly input in the form of word vector. For English, it is very convenient to segment words through spaces between words, but for Chinese, there may be inaccurate word segmentation, which will reduce the accuracy of classification. To solve these problems, a dual channel sentiment classification model based on grammar rules and multi attention (DCGA) is proposed. Firstly, the text with clear sentiment tendency is obtained according to the grammar rules, and the local features of the text are extracted by CNN channel. Considering that the grammar rules may ignore the context information, bi-directional long short term memory network (Bi-LSTM) channel is used to extract the global features containing the context information, and attention pooling is used to improve the sentiment information extracted by CNN channel. Then, the part of speech attention mechanism is used to mine the implicit sentiment features in the sentiment text to solve the poor classification effect caused by the existence of implicit text. Finally, the local features obtained by CNN channel and the global features obtained by RNN channel are fused for classification. Experimental results on four Chinese comment text datasets show that the proposed model outperforms most existing methods in accuracy.
Research on Model Optimization of Food system Dynamics based on SD-SOP
Authors: He Yuan , Fang Shuxing , Wang Youwei , Dai Jianxin 
Published: April 2021

Abstract
With the development of productive forces and the existence of an effective food system, the problem of world hunger is gradually being solved. However, on the one hand, 821 million people in the world are still malnourished, and on the other hand, the waste of food is shocking. The comparison of these two situations shows that the current food system is seriously unfair. With the development at the expense of the natural environment, there is also uncertainty about whether people can enjoy food in a sustainable, healthy and safe way. Therefore, our group was asked to do some optimization research on the food system. In order to better simulate the operation of the food system. First of all, we design a food system model based on the system dynamics model, which includes four subsystems: economy and trade, environmental health, social production and politics. and the basic operation system of the system is formed on the basis of many variables in these four fields. Then, based on the variables in the grain system, we summarize four aspects of measuring the characteristics of the grain system, namely, profitability, efficiency, fairness and sustainability, and summarize 11 quantifiable evaluation system indicators. Then, the analytic hierarchy process is used to determine the weight and evaluation function of each index in the comprehensive evaluation system. Finally, using the goal programming model, taking the fairness and sustainability indicators as constraints, the minimum value of the system comprehensive evaluation function is used to optimize the food system dynamics model. After optimization, we get the final SD-SOP model and determine that China’s optimized grain system will be realized in 2030.
The Research on the Measurement System of Target Dimension Based on Digital Image
Authors: Yu Weiliang , Zhu Xuefeng , Mao Zihao , Liu Weihua 
Published: April 2021

Abstract
Targets dimension measurement technology based on digital image processing has the advantages of non-contact, low cost and wide environmental adaptability. It has been widely used in chip manufacturing, biomedicine, aerospace, military and other fields. In the traditional image acquisition and edge detection, it is inevitable to be affected by noise such as illumination, shadow and edge defect, which makes the measurement accuracy vulnerable to environmental impact. In this paper, on the basis of gray scale transformation and Gaussian filtering of the image, Canny operator was used to detect the target’s edge, and morphological algorithms such as hole filling and small object removal were used for post-processing, so as to finally achieve the dimension measurement and display of the target. This system eliminates the influence of light and Gaussian noise, and realizes the extraction of the edge while carrying out meticulous and de-noising, which makes the system realize the extraction of the edge fine, wide applicability and high precision.
Automatic generation of trusted test cases based on adaptive genetic algorithm
Authors: Wu Danyang , Yu Xuejun 
Published: April 2021

Abstract
In recent years, the development and operating environment of software system has developed from the traditional closed and static environment to an open and dynamic Internet environment. The software system has become increasingly large and difficult to control, and the emergence of defects and loopholes is inevitable, resulting in the problem of software credibility [1]. How to improve the credibility of software has become the core hot issue in the field of software engineering [2]. In this paper, we will test the credibility of web applications based on the idea of “consistency of words and deeds”. By analyzing the characteristics of web applications, define the trusted behavior statement rules of web applications, and combine the genetic algorithm to realize the automatic generation of trusted test cases. Because the basic genetic algorithm has the shortcoming of “premature convergence”, in this paper, we will use adaptive parameters to implement genetic algorithm, and through the experimental verification, the adaptive parameter genetic algorithm can effectively improve the efficiency of searching the optimal solution.
RETRACTED: Research on Informatics System and Practice Prospects Based on Artificial Intelligence Mathematical Algorithm
Authors: Sun Zhuo 
Published: April 2021

Abstract
Based on the background of artificial intelligence, this paper uses the 8∼13Hz synchronization/desynchronization principle of C3 and C4 channels related to mathematical model algorithm events to design a set of virtual information control model system based on LabVIEW mathematical algorithm platform. In the mathematical information operation model, the EEG signal is filtered and feature extracted by using a digital band-pass filter and power spectrum estimation to control the direction of signal transmission. Experiments show that this mathematical algorithm can achieve the control accuracy of signal transmission, laying a foundation for building a completer and more complex signal system on the LabVIEW platform.
Research on Application of Computer Big Data in Mathematical Polymorphic Game Algorithm Theory
Authors: Sun Zhuo 
Published: April 2021

Abstract
In large-scale game activities, the computer big data system is collected, and then large-scale real-time data collection, processing and control systems are used to bring mathematical algorithm models, and state information reliability algorithms are used to illustrate the system control machine design and its Implementation based on VMS. This article calculates the most by calculation. The main design ideas in the game mathematical model, the research found that the system controller proposed by the system is a method to solve the multi-state process synchronization problem in the Client/Server computing system, and can effectively deal with the algorithm application research in the model.
RETRACTED: Research on Enterprise Economic Management System Based on Computer Big Data Technology
Authors: Teng Tao 
Published: April 2021

Abstract
The support system for enterprise economic management is an intelligent decision support system. It is composed of user interface management system, problem handling system, database and database management system, model library and model library management system, method library and method library management system, knowledge base and knowledge base management system. It integrates economic mathematical modelling, artificial intelligence technology, operations research methods and decision-making methods. Through the combination of knowledge reasoning and numerical calculation, it provides more powerful decision support capabilities than traditional decision support systems. Based on this research background, the paper takes financial management in economic management as an entry point and introduces a computer financial economic management system based on mobile Agent. At the same time, the article introduces a financial and economic early warning algorithm for enterprises based on decision trees.
Research on Smart City Smart City E-commerce Security Technology Based on SET Protocol
Authors: Xiao Gengyi 
Published: April 2021

Abstract
Secure Electronic Transaction (SET) has always been regarded as an international security standard followed by smart city e-commerce. It generally uses public key cryptography and digital certificates and other related technologies, which can help solve a series of security problems in the development of smart city e-commerce. The above security issues are designed to include the confidentiality of shopping and payment information, the completeness of transactions, the exactness of identity and non-cheating. The completeness and integrity of information are guaranteed in the link of electronic transactions. However, this agreement has its shortcomings in that it is costly and operational review. Based on this background, the paper reviews the application of SET protocol in e-commerce, and hopes to provide relevant suggestions for its development and improvement.
Wavelet Sampling Algorithm for Environmental Monitoring and Management Based on the Internet of Things
Authors: Xiao Gengyi 
Published: April 2021

Abstract
Aiming at the problem of ecological environment monitoring, the paper proposes an IoT technology for ecological environment monitoring based on wavelet sampling algorithm and multi-sensor network platform. This technology divides the monitoring area into several different clusters, each cluster collects and collects various types of environmental monitoring data, and different types of sensors such as temperature, humidity, noise sensors, etc. can be set according to the monitoring needs; Set up mobile Agent nodes in the monitoring area, establish a real-time two-dimensional positioning table based on network energy consumption, use wavelet sampling algorithm projection method to select the optimal path, construct a mobile plan, collect the collected data and forward it to the control centre. Simulation experiments and mathematical analysis show that the technology has real-time and reliability for remote data collection and transmission for environmental monitoring, and the overall network energy consumption is low.
Vehicle logistics path optimization based on ant colony and particle hybrid algorithm
Authors: Jiang Jing , Yu Ning , Ye Jinping , Bai Wei 
Published: April 2021

Abstract
In the actual vehicle logistics distribution process, the number of vehicles and the choice of distribution path determine the logistics cost. Aiming at the problem of high logistics cost, this paper establishes a multi-objective vehicle logistics path optimization mathematical model considering the distribution process and the number of vehicles. In order to solve the model, a hybrid ant colony particle swarm optimization algorithm is proposed. The algorithm integrates the particle swarm algorithm into the ant colony algorithm, which makes the ant colony algorithm have the characteristics of “particles”, speeds up the search speed of the ant colony algorithm, and reduces the defect of falling into local convergence. The simulation results show that the path optimization model and its hybrid algorithm have fast convergence, can effectively reduce the distribution process and the number of vehicles, and can reduce a large number of vehicle logistics costs, which provides a valuable reference for the whole vehicle logistics path planning.
Research on MPPT Based on Gray Wolf Algorithm improved by Levy Flight
Authors: Wang Su , Cai Wencheng , Zeng Liang 
Published: April 2021

Abstract
In the late iteration of the gray wolf algorithm, the convergence results will have low accuracy becased of the elite retention.When implementing MPPT control, the maximum power point of the photovoltaic array cannot be accurately tracked, and it is easy to fall into the local optimum. Therefore, this paper proposes gray wolf algorithm improved with Levy flight applied to MPPT control. The algorithm introduces the Levy flight to search the head wolf position globally, then uses the group optimization of the gray wolf algorithm and the random walk of Levy flight to improve the tracking speed and accuracy of the MPPT controller. In the simulation experiment, the algorithm is modeled and verified by setting different lighting conditions. Finally, it is compared with the conductance increment method, modified hybrid method of grey wolf optimization and golden-section optimization, the original gray wolf algorithm. The results show that the algorithm meets the requirements of fast tracking speed, high accuracy and stability in MPPT control.
A Tempered Gronwall Inequality and Its Application in Tempered Fractional Order System
Authors: Tang Yurong , Ma Nuri 
Published: April 2021

Abstract
Gronwall inequalities are widely used in analytical science, especially in ordinary or fractional differential systems. In this paper, a tempered Gronwall inequality is proposed and applied to tempered fractional system. By the tempered Gronwall inequality, dependences of the solution of tempered fractional systems on initial value, fractional order and tempered parameter are obtained. Finally, a new tempered fractional chaotic system is proposed to show the validity of the dependences.
Research on E-commerce Visual Marketing Analysis Based on Internet Big Data
Authors: Hu Xiaofei , Liu Jieping 
Published: April 2021

Abstract
Through the construction of the e-commerce vision system platform and the use of big data, the behavioural analysis of the customer groups of similarly designed products is carried out to solve the related problems in visual marketing. According to the characteristics of the user groups, the series of products are pushed out design service. Based on the current research summary of e-commerce platform marketing, the article aims at optimizing the e-commerce platform system and conducts comprehensive research from the cross perspective of marketing theory and visual design. Let the visual design system achieve precise services, promote local traditional industry e-commerce marketing conditions, achieve proactive adaptation to the new normal of economic development, and provide a reference for future design service innovation in the new era.
A Lévy Flight Based Firefly Algorithm for Multilevel Thresholding Image Segmentation
Authors: Liu Suping , Wang Yi 
Published: April 2021

Abstract
Traditional exhaustive search methods have high time complexity in solving multilevel threshold problems. To address this problem, a Levy flight based firefly algorithm called LFA is proposed. Otsu is regard as its objective function. A series of standard test images were used to evaluate the performance of the algorithm. The Peak signal to noise ratio(PSNR) and Structural similarity index (SSIM) are utilized to evaluate the segmented image. The experimental results show that the LFA is better than FA for multilevel thresholding image segmentation.
Image recognition and blind-guiding algorithm based on improved YOLOv3
Authors: Lu Haoyu , Ma Yan 
Published: April 2021

Abstract
YOLOv3, a target detection algorithm based on deep learning, is widely applied in object recognition, especially in guiding the blind. The existing products of assisting the blind based on YOLOv3 can already achieve high-precision, high-real-time object recognition. But YOLOv3 also has many limitations, such as the inability to measure distances or it’s hard to recognize objects correctly in fog or haze. For these deficiencies, this paper proposes a road barrier monitoring method based on improved YOLOv3, using an image downsampling algorithm based on the dark channel to defog the image, and then with the binocular distance measurement algorithm to calculate the obstacles from the distance of the camera according to the width and height of the obstacles. The experimental results show that the improved product retains the advantages of high accuracy and fast recognition speed of YOLOv3. At the same time, it also owns the new functions of obstacle ranging and bad weather identification. The improved algorithm can meet the requirements of portability, real-time, and practicality of guide products.
Implementation of the NewHope Protocol for Post-Quantum Cryptography
Authors: Lin Zhenghao , Chen Guanghua 
Published: April 2021

Abstract
In this paper, we propose a faster and less resource intensive implementation of the NewHope protocol to address the problems of resource-intensive random number generators and slow running NTT modules in NewHope implementations. In the random number generation module, choose the lightweight pseudo-random number generator (PRNG) Trivium instead of the SHAKE function to reduce the resource usage in the random number generation module. In the NTT transformation module, a pipeline structure is used in combination with a parallel structure of four butterfly units to shorten the cycle time of butterfly operations and achieve acceleration. The experimental results show that, compared with Kuo’s design, the overall time for key exchange in this paper is reduced by 25.3%, and the consumption of FFs and LUTs is reduced by 20.2% and 38.0%, respectively.
Generalized Titius-Bode Law and How to Statistically Verify it
Authors: Hu Wei 
Published: April 2021

Abstract
The Titius-Bode law has been historically successful in predicting the location of planets in the solar system. While the majority believes it is merely a coincidence, we too agree with that; however, we think there is some underlying universal truth hidden under the overfitting phenomena in the original Titius-Bode law; the generalized Titius-Bode, by removing the overfitting, can tell us about the mechanism of the formation of our early solar system, or more generally, all astronomical systems, as big as galaxies. Specifically, we analyzed the absolute error of the generalized Titius-Bode Law with the ground truth, and it suggested that the planets were formed iteratively, instead of each planet just magically finds its orbit where the centripetal force balances the centrifugal force.
Numerical Analysis of Hydrogen Leakage from Hydrogen Storage Container under Various Circumstances
Authors: Jin Xing , Zhou Junbo 
Published: April 2021

Abstract
A numerical simulation method by using the realizable k-ε model of computational fluid dynamics (CFD) proposed by establishing the model of hydrogen leakage of a high-pressure hydrogen storage container is presented in this paper. By setting different environmental wind speeds, leakage apertures, and leakage locations, multiple simulation calculations are performed to compare test results. As the wind speed increases, the degree of turbulence of hydrogen increases. Large aperture and bottom side leakage cause more serious hazardous area of personnel than small aperture and top leakage do. Base on the results, it can provide reference for dealing with the leakage of high-pressure hydrogen storage containers.