bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of an engineering bionic flexible mechanical claw
Authors: Xu Junze , Xu Qiudi
Published: April 2021

The invention is improved on the basis of existing flexible robots and traditional robots, and for traditional robots, mostly rigid materials, when grasping fragile objects, the more fixed force is easy to cause damage to objects.
Snow removal device on top surface of inclined roof building
Authors: Chen Weijie , Wu Yingxin
Published: April 2021

In view of the difficulty of snow removal in existing sloped-roof buildings in my country, a new type of snow removal device on the top surface of sloped-roof buildings is designed. The mechanical structure realizes snow removal at heights of sloped-roof buildings, reducing manpower and material resources, and solving the problem of existing devices Shortcomings in this area. Compared with the traditional building snow removal device, the device can be applied to a variety of building heights, with efficient snow removal, light weight, simple operation and easy to carry
“Weaver” — multi DOF flexible gripper device
Authors: Qiao Lingfeng , Wang Chengzhi , Lu Minxi
Published: April 2021

In the process of automatic processing, production and assembly, flexible manipulator has the characteristics of high flexibility, multiple degrees of freedom, etc. It can transfer payload to some narrow spaces, and can carry any object, which is widely used. Therefore, a mechanical gripper based on flexible track is designed. In terms of structure, a servo drive system is built by adopting line drive. The gripper is composed of a bunch of links, which are connected with each other under passive joints. At the same time, in terms of function, the free configuration function of the flexible track can achieve the function of grabbing objects of any shape by wrapping.
Research on index system of evaluation of Prefabricated Building Industrialization based on BIM Technology
Authors: Yang Jiarui
Published: April 2021

Firstly, this paper analyzes the functions of the BIM platform, comprehensiv ely considers and extracts the required evaluation index of industrial efficiency of pref abricated buildings, and calculates the weight value. Then, the actual case data extracti on of BIM platform was applied, and the fuzzy comprehensive evaluation method was used to evaluate the efficiency of the case. Finally the structure was calculated and ana lyzed, so as to obtain the impact results of the prefabricated building industrialization e fficiency after the application of BIM platform.
Dynamic Bayesian Network-based Surface Roughness Accuracy Grade Prediction in Turning
Authors: He Kang , Yang Quan , Wu Bo , Li Xiaobiao , Zhang Xiuxiang
Published: April 2021

A hybrid DBN model - Discrete and gaussian mixture hidden markov model with the weighted evidence fusion strategy (DGMWEFS), based on Discrete hidden Markov model (DHMM), Mixture of Gaussians hidden Markov model (MoGHMM), and DS evidence theory, is developed for surface roughness accuracy grade prediction. By analyzing the influence of tool vibration on the surface topography, the singular spectrum with wavelet analysis is proposed to extract the fusion feature (Ec). The ρ comparison is developed to overcome defect of the traditional probability comparison. For the multiple outputs of DHMM and MoGHMM, the weighted evidence fusion strategy based on the DS evidence theory is proposed for final decisions. Experiment of turning the workpiece with multi-material and hardness scale shows that, compared with the DHMM (prediction accuracy 85%) and MoGHMM(prediction accuracy 78%), the DGMWEFS proposed estimates the surface roughness with higher accuracy (prediction accuracy 93%).Therefore, the monitoring strategy proposed can be better used for supervising accuracy grade, which can be readily integrated into a computer integrated manufacturing environment.
Debonding Failure Analysis of Honeycomb Sandwich Composite Radome
Authors: Miao Hongbo , Fan Jinjuan
Published: April 2021

The radome made of C sandwich structure failed after different service time. The failure causes were analyzed by ultrasonic C-scan inspection, fracture surface inspection, section metallographic inspection, bonding strength test, manufacturing process analysis and viscidity testing of film. The results show that: The debonding position of honeycomb composite radome is between honeycomb and outer skin. That is caused by the weak adhesive strength between honeycomb and skin. The main cause of weak adhesion is that the film loses fluidity and viscidity due to the overlong holding time. Weak adhesion is not related to the heating temperature, compressive stress and local honeycomb contamination. The holding time should be controlled to be less than 6h in later manufacture of the radome to keep fluidity and viscidity of film.
Analysis of Paper Children’s Furniture Design Based on 4R Principle
Authors: Yuan Zeng , Yi Shi
Published: April 2021

At present, green environmental protection has become a common topic of concern all over the world, and the principle of “low carbonization” is also the focus of designers in the design of paper children’s furniture in the future. How to implement the 4R principle into children’s furniture has become the most important issue for designers at present. This paper summarizes the design principles of children’s furniture, puts forward the design scheme of children’s furniture based on 4R principle, and forecasts the future children’s furniture market.
An Efficient Broken Glass Sorting Device Based on Color Detection and Human-Machine Interactive
Authors: Liao Lingyu , Wu Yifan
Published: April 2021

With the increasing production of wasted glass in China, the recycling of glass is becoming more and more significant. Recycled broken glass must be color-recycled, and the key issues for color separation of glass are color recognition and sorting of glass in different color. Utilizing the TCS3200D color sensor to distinguish the color of broken glass and setting the algorithm according to its optical characteristics, as well as using a mechanical module with vibration separation, to export broken glass to the conveyor belt in order, and then by the ordering of MCU, pneumatic solenoid valve control the high-pressure jet device to sort the broken glass. At the same time, the human-computer interactive image processing technology based developed by LabVIEW is used to set up the human-computer interactive interface, so as to maximize recycling.
Cooling adsorption type desert air water extractor based on STM32
Authors: Yang Yiqiao , Li Jinshuai , Chen Guangyu
Published: April 2021

With dry climate and scarce rainfall, the annual precipitation of desert areas is below 250 mm. The daily temperature difference of desert climate is very significant, the near surface temperature can reach 60 °C to 80 °C in summer and autumn noon, but it can be reduced to below 10 °C at night. If the climate characteristics of the desert can be reasonably used for low-cost water intake, it will provide great convenience to the aborigines and migrants in the desert. Some existing air water intake devices cannot produce good water intake effect due to the low air humidity in the desert. The device uses semiconductor refrigeration to improve the relative humidity of air, so that the adsorption efficiency is significantly improved. Using the low specific heat characteristics of sand to optimize the convection and condensation device, greatly reducing the energy consumption and mechanical failure rate. By using the P, N type semiconductor’s Palp effect, STM32 controls the switching circuit and then controls the voltage direction of the two ends of the semiconductor to realize the switching of refrigeration and heating modes. In this way, low-cost and high-efficiency water intake can be realized in the desert.
Control Analysis Based on the Operation of Automatic Captive Cleaning Equipment
Authors: Weng Yunxian , Zhao Yaping , Shi Juncheng
Published: April 2021

The project in this paper is a “ district twinning” project of Suzhou polytechnic institute of Agriculture. In the paper, the author analyzes the sheds of pig cleanup job needs for farm in Yuping Mountain Ecological Park in Suzhou, and designs a new cleaning device and its appropriate electrical control systems without changing the traditional captive facilities. The paper first analyzes the Control Analysis Based on the Operation of Automatic Captive Cleaning Equipment.

Finally, the actual installation and debugging is explained, a brief description of several common problems, solutions and matters needing attention are given. The practice proves that the whole electrical control system is practical and reliable, and the desired effect is achieved.
Numerical simulation of sound amplification base on finite difference method
Authors: He Xinhai , Xie Zhuoxuan , Zhang Yaofang , Lu Huiping
Published: April 2021

In daily life, we will find that the loudspeaker device is always cone-shaped, because the conical device has a good sound amplification effect. This article mainly explores the influence of the shape and size of the conical device on the loudness of the distant sound by establishing a theoretical model and using the finite difference method for numerical simulation. At the same time, the theoretical numerical simulation method is promoted, so that it can be widely used in more aspects.
Optimization of centrifugal fan position in a particular VRF outdoor unit for European market
Authors: Chen Mao , Wang Yuxian , Liu Yicai
Published: April 2021

Variable refrigerant flow systems (VRF), in which refrigerant flows directly through long connecting pipes into different indoor units, are nowadays having more and more market share in central air-conditioning industry. A special flat structure of air-cooled VRF outdoor unit is expected in European market due to local architecture characteristics. Centrifugal fans with forward-curved blades are suitable under this situation. However, the layout concerning the fan position is of key importance for the heat exchange performance. Four layouts with different fan position arrangement in a VRF outdoor unit supposed to reach nominal cooling capacity of 22kW were initially designed and optimized by Ansys. Air volume rate and uniformity through the fin and tube heat exchanger (FTHE) were investigated with velocity contours. When FTHE was set perpendicularly forming a triangle compact space with neighboring cabinet shells, simulations showed a better layout in which the two fans were put side by side but with one near front and the other near rear shell in the bigger empty space. Further adjustment in position details was also carried out via more simulation on selected planes and finally, air volume measurement and nominal capacity measurement were made, matched with four ducted indoor air-conditioning units, showing good performance.
An overview of the vessels for electrical submarine cable laying
Authors: Yuan Zhoulong , Bao Shanjun , Lin Junfeng , Zhang Zhigang , Yu Qiaohao , Liu Zhen
Published: April 2021

The cable laying vessel is a key factor for the submarine laying routing, insta llation, and layout. The loading and laying capabilities of a submarine cable vessel alw ays determine the speed and costs of corresponding cable construction engineering, wh ich will significantly affect the electricity transmission of the islands, wind farms, and other offshore energy engineering. Therefore, an overview on the recent development of domestic and international cable laying vessels and related construction equipment i s conducted with the summarizations of the development trends. Furthermore, a perspe ctive of the cable laying vessels in the future is also proposed.
A Tableware Recycling Device Based On RGB-D SLAM Technology
Authors: Li Chengchi , Zhou Zhou , Zhang Wenze
Published: April 2021

This project involves a robot that can autonomously recycle desktop tablewar e, especially a robot that uses RGB-D cameras and uses simultaneous positioning and mapping technology (SLAM).
Simulation Study on Circular Search and Capture Probability of Certain Torpedo
Authors: Bi Simin , Yu Jie , Li Lin , Wang Chaoyong , Cheng Chunhua
Published: April 2021

The influence of the distance between target and torpedo water entering point and target heading on the airdrop torpedo trajectory and acquisition probability are studied and analyzed through modeling and simulating the torpedo underwater target search and attack. In such three cases as the same target board angle different range and different target angle the same target range and different angle different target range, the trend of target acquisition probability are put forward, which can provide some theoretical references for the actual operational research.
A Parallelization Algorithm of Singular Value Decomposition
Authors: Duan Jianfeng , Cun Xian’e
Published: April 2021

Matrix factorization algorithm is one of the recommendable algorithms. In order to tackle the inefficiencies of the traditional matrix factorization algorithm like the slow training time and the insufficient computing resource for the mass data, a parallelization algorithm of singular value decomposition (SVD) under the Spark framework is proposed to perform SVD, standardization, and dimensionality reduction for the user-rating matrix, and obtain the user-feature matrix and project-feature matrix. The recommendation model is obtained by determining the prediction rating. MovieLens data show that this algorithm can significantly shorten the training time of the model, improve the running efficiency of the recommendation algorithms for the mass data, and improve the algorithm accuracy.
Simulation Analysis of Signal Coverage of ADS-B Base Station Based on DEM
Authors: Cao Bo , Liu Wenping , Zhang Liang , Tang Zhihu , Liu Kun
Published: April 2021

The most basic requirement is to provide continuous and reliable flight dynamic information for monitoring equipment within the range of air traffic control. ADS-B is the future major surveillance technology determined by the International Civil Aviation Organization. Based on the theory of electromagnetic wave and electromagnetic field, this paper analyzes the influence of space propagation on ADS-B signal coverage. Combined with DEM topography, the sightline range cut-off distance of ADS-B was calculated. The base station antenna is simulated and the antenna radiation performance is calculated. In this paper, the actual application of ADS-B base station signal coverage is simulated and the methods and measures to improve the signal coverage of base station is put forward. According to the experiment results, this method meets the needs of engineering application, has certain practical value, and provides a basis for the site selection of base stations.
Open VPN Application in COVID-19 Pandemic
Authors: Zhou Zhengchun , Huang Tongcheng
Published: April 2021

With the use of COVID-19 information, the way in which COVID-19 prevention and control agencies expand their internal networks is addressed. This article introduces the concept of open VPN technology and puts forward a design scheme using open VPN gateway access, which solves the problem of direct reporting of users accessing the system from the external network. At the same time, the paper uses big data analysis based on the ArcGIS Dashboard design to implement a visual and interactive real-time monitoring system of the global epidemic situation, which can timely and effectively obtain the development of the 2019 coronavirus disease epidemic. The system emphasizes fast and convenient online dynamic display of the global distribution of the epidemic, real-time statistical analysis of the spatial distribution of the epidemic, dynamic display of the severity of the epidemic in various countries and regions and the development trend of the global epidemic, and promotes epidemic monitoring to a certain extent Work development.
The Application of Yolov4 And A New Pedestrian Clustering Algorithm to Implement Social Distance Monitoring During The COVID-19 Pandemic
Authors: Li Junxiao , Wu Ziao
Published: April 2021

Based on the global spread of COVID-19 epidemic, this paper implements an application of social distance monitoring in public places, aiming to control the spread of virus by controlling the social distance of pedestrians. The application mainly uses YOLOv4 object detection algorithm and DeepSORT multiple objects tracking algorithm to detect and label pedestrians, and uses affine transformation to calibrate the scene to a more intuitive bird’s-eye view. Based on the analysis of pedestrian movement, the author proposes a novel pedestrian clustering algorithm to avoid the impact of peers on the monitoring results. Finally, three indicators are selected to classify the pedestrian to analyse and evaluate the risk of virus infection in a certain place. In this paper, comparing the yolov4 algorithm with the most suitable performance of other research results, the author indirectly concludes that yolov4 is the most suitable method in the application of social distance monitoring. And the new pedestrian clustering algorithm plays a role in the application, which improves the practicability of the application. Through the experiment, it is found that the social distance in the scene can be monitored in real time and accurately, and there is a correlation between the average distance of pedestrian clusters, the density of pedestrian clusters and the infection index, which can be used to evaluate the safety of places and prevent the spread of virus.
A Similarity Algorithm Based on Hash Feature and Random Mapping
Authors: Lin Ke , Man Rui
Published: April 2021

Similar text algorithm is the main method for news topic extraction and online public opinion hot spot tracking. The traditional text similarity method has the problems of high data dimension and high computational complexity. This paper proposes a method of news text clustering based on hash feature and random mapping. The method based on hash feature reduces the dimensionality of the text. At the same time, the article clustering preprocessing based on random mapping can speed up retrieval. Experiments show that the algorithm proposed in this paper performs well on related data sets.
Study on Droplet Composition Recognition Based on LSTM Network Combined with Convolutional Neural Networks
Authors: Lu Zhengqi
Published: April 2021

The collision and spreading processes of droplets are not the same due to the physical and chemical characteristics of droplets of different composition. A droplet collision experiment system was set up to capture videos of the droplet collision and spreading processes which changed as the droplet composition changed. A cascaded network was applied to extract spatial-temporal features in the videos and realize droplet composition recognition. The proposed method achieved 80% classification accuracy, which was relatively better performance compared to single back propagation network.
S11 Parameter Calculation of Frequency Selective Surface Based on Deep Learning
Authors: Ren Xi , Liu Changlin , Zeng Minghui
Published: April 2021

This paper proposes the FSS-CNN network model as a forward predictor, replacing the function of the Maxwell equation solver of commercial software. The predictor is different from the numerical optimization method, and the data-driven method based on machine learning (ML) can be expressed and generalize complex functions or data to discover unknown relationships between a large number of variables. In the frequency range of 2∼18GHz, the S11 parameter prediction of the corresponding metal pixel pattern can be easily realized by an accurate forward neural network model. The MSE reaches the level of less than 0.1 and the time consumption is less than 0.07s, which meets the requirements of fast, efficient and automatic calculation.
Analysis and Application of Dynamic Programming
Authors: Xu Jinyi , Wu Shaofei
Published: April 2021

Dynamic programming is a part that is not well understood in the introductory learning of algorithms, but it is also a part worth learning. It has been successfully applied in many fields, such as gene sequencing, human flow control, and hydropower resource allocation. This article systematically explains the principle of dynamic programming. At the same time, through the comparison with other algorithms, we can deeply understand the nature of dynamic programming and its advantages and disadvantages in solving problems compared with other algorithms. Finally, it analyzes the problem-solving methods and steps of dynamic programming based on relevant application examples.
A Permutation Test for High-Dimensional Covariance Matrix
Authors: Li Shanshan
Published: April 2021

In the case of “big p and small n”, classical statistical methods and theories are difficult to apply to high-dimensional data problems. This article considers testing the equality of two sample covariance matrices. When both the dimension p and the sample size n tend to infinity, a permutation method is proposed. The new test method eliminates the limitation of sample distribution and dimension. Numerical research shows that the proposed test method has good results in both normal and non-Gaussian distributions under high-dimensional data.
A Line Loss Calculation Method Based on Big Data and Load Curve
Authors: Yang Yining , Xue Yang
Published: April 2021

In this paper, a new technique line loss calculation method based on load curve is presented. First, the data is preprocessed and the outliers are removed. Then the load curve is analyzed, and the load current per day is fitted by polynomial approximation method, and the load current curve is obtained by nine-order fitting. Considering that the current at different time points may affect the fitting of the data, time sequencing is carried out to improve the fitting accuracy. Then for the resistance calculation, the voltage difference between the platform side and the user side and the platform side current are used to calculate, avoiding the use of line length which is difficult to measure in practice. This method makes full use of the available power network data, rearranges it, calculates it according to the continuous load curve, and gets more accurate and reliable results.
Research on The Application of Big Data in E-Commerce Enterprise Supply Chain Cost Control
Authors: Yu Qin
Published: April 2021

Big data technology obtains value information by collecting relevant data of e-commerce enterprises, strengthens the cost control of the enterprise supply chain, and adopts intelligent and digital analysis methods to enhance the core competitiveness of e-commerce enterprises. Based on the application of big data technology in e-commerce supply chain cost control, the paper analyses the current problems of e-commerce enterprise supply chain cost control, and proposes a solution to the problem by applying big data technology to reduce procurement costs.
Single Information Extraction Algorithm of Mechanical Equipment Usage Information Recording Based on Deep Learning
Authors: Luo Yanhao , Wu Wenyuan , Lyu Pengcheng
Published: April 2021

The compressor work order record document records the compressor fault information and the corresponding solution. This paper attempts to use natural language processing technology to analyze the compressor work order record document and automatically identify the equipment entity and fault description information. Firstly, the equipment information and fault information are separated from the work order record document, and the equipment entity data set and fault description data set are constructed. Then, based on the BERT preprocessing model, the sequence labeling model is fine-tuned, and the automatic identification models of compressor equipment name and fault description are constructed respectively. The experimental results on the equipment entity data set and fault description data set show that the automatic identification F1 value of the above model for compressor equipment entity and fault description reaches 95.05% and 74.44% respectively, which exceeds 9.71% and 16.85% of the BiLSTM+CRF model commonly used in the industry, which verifies the effectiveness of the method.
Design of Rolling Ball Control System Based on Image Recognition
Authors: Jian Yuanming , Qin Chuanwen
Published: April 2021

Aiming at the problem of light interference affecting image recognition, this paper designs a rolling ball control system based on image recognition. The system consists of the main controller Mega 2560, OpenMv image processing module, steering gear execution module, display module, and mechanical structure test bench. The system realizes that the small ball only relies on adjusting the tilt of the flat plate, completes the function of auto-interference, and quickly restores a stable static state. The system has good stability. The use of image recognition to identify and locate the ball has a good effect, and the control effect of the PID control algorithm on the ball has been debugged to achieve a good effect of stability, smoothness and high accuracy.
Scientific Application and Research of Computer Technology in Sports Training
Authors: Zhang Yang
Published: April 2021

With the development of economy, the role of computer technology in the field of education has gradually become prominent, especially the application of computer technology represented by multimedia technology has greatly promoted the quality of teaching. Computer virtual reality technology also provides a new teaching method for college physical education and promotes the improvement of college physical education. Based on computer vision technology, this paper constructs a systematic and complete virtual reality technology framework for modern physical education teaching, analyses in detail the realization of each key step in the framework, and provides technical guidance for the practical application of virtual reality technology in physical education.
Design and Analysis of Intelligent Small-Micro Enterprise Cloud Service Model
Authors: Wu Shuoshuo , Zhang Jian , Du Juan
Published: April 2021

The development of a new generation of information technology and the construction of information infrastructure have not only led to a rapid increase in enterprise productivity, but also become a revolutionary driving force for the transformation of enterprises to smart enterprises. The cloud service platform for smart small-micro enterprises researched and designed in this paper solves the troubles of traditional manual recording, heavy and inconvenient information aggregation. It is a kind of small-micro enterprise with multi-organization, multi-tenant, heterogeneous. The intelligent cloud service platform with features such as foreign land can promote more small-micro enterprises to join the ranks of informatization.
Research on optimal path Modeling based on DP Model
Authors: Feng Peinan , Mao Yuxin , Yao Longxuan
Published: April 2021

Nowadays, the emergence of all kinds of games greatly enriches our life and enlightens our wisdom; As a vehicle of enlightenment, the game itself involves the choice of a variety of strategies and the choice of routes and solutions. In the case of multiple constraints, the core idea of strategy choice games is to make the optimal solution to a certain problem, and such a choice plan needs the support of a variety of theories, such as game theory dynamic programming, the application of operations research, and so on. In this case, it is essentially a given condition of the game, using the above known mathematical model to find the optimal solution, that is, under the condition of meeting the safety of the end, the most money is left

When the weather is known and the map is known, we can make the most optimal solution; by using the DP model and the correlation of the TSP problem, we have found a certain rule: give priority to choosing the mine that can bring us income, and then replenish the resources when there is a problem with the resources, so as to plan the best route. For the calculation of money, we take the reverse program to calculate and deduce, and find that level 1 and level 2 can finally make money, and give the specific value in the detailed explanation of their respective problems. Under normal circumstances, it is impossible to know the changes of the weather in the future, so it is necessary to make different analyses for different weather conditions every day; here, we assume a certain strategy, that is, to accept the relatively non-optimal solution with a certain probability, and then through the increase of the number of iterations, we finally retrieve the optimal solution in this hypothesis.
Diagnosis of Fruit Tree Diseases and Pests Based on Agricultural Knowledge Graph
Authors: Guan Lianzheng , Zhang Jian , Geng Chuanwei
Published: April 2021

In order to realize the accurate prediction of fruit tree diseases and pests in the text description, this paper combines knowledge graph, representation learning, deep neural network and other methods to construct a fruit tree disease and pest’s diagnosis model. The model first constructs a knowledge graph in the agricultural field, and encodes the knowledge in the agricultural field through the knowledge representation model, combines the description text provided by the user to obtain the representation vector of the fruit tree diseases and pests feature entity, and then passes the representation vector and the pest image representation vector through CNN-DNN-BiLSTM network recognizes fruit tree diseases and pests. Three kinds of diseases and pests of apple trees were selected in the experiment: Apple Ring Rot, Apple Scab and Adoxophyes orana. Compared with the VGG network and the BiLSTM network, the precision rate of the model in this paper has been improved by 19%, 4%, 3%, 20% and 25%, 2% on Apple Ring Rot, Apple Scab and Adoxophyes orana, respectively. It can fully integrate agricultural knowledge graph and deep learning technology, and play a positive role in improving the diagnosis of fruit tree diseases and pests.
Research and Discovery of Smart Dumb Gloves
Authors: Yu Xiaoshuang , Liu Suying , Fang Weiyi , Zhang Yankun
Published: April 2021

According to the statistics of China’s health organization, there are a large number of deaf-mute people in the whole country. Sign language is used to communicate between deaf and dumb people. When they communicate with people who don’t know sign language, it will bring a lot of inconvenience. Based on the above problems, we propose a sign language gesture recognition system based on data glove. The overall architecture is composed of stnm32 MCU, flex4.5 bending sensor, mpu6050 six axis sensor, Bluetooth transmission module and mobile phone voice app. It collects the user’s hand movement information through flex4.5 bending sensor and mpu6050 six axis sensor, Then the STM32 microcontroller processes the data and compares it with the action data in the database. Then the action voice command is sent to the mobile phone through the Bluetooth transmission module, and finally the voice playback and text display are carried out through the mobile phone app. The software of sign language gesture recognition system is developed by using processing software based on Java language, which is connected with it to complete the recognition of sign language actions, and then output the words to be said through the intelligent voice system.
Face Recognition Algorithm Comparison based on Backpropagation Neural Network
Authors: Li Pan , Zhang Qian
Published: April 2021

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

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

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

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

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

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

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

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

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

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

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

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

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.