bluuebunny/crossref_metadata_2025 huggingface dataset:
A probe into the Visual elements in female illustrations from the Perspective of Feminism
Authors: Yu Jingyi , Zhang Yuanhang , Zhao Yaling , Zeng Jiaying
Published: April 2023

With the rise of the feminist movement in the 1970s, the concept of feminism gradually entered the public's field of vision. Its theory revolves around with the development of society, the wave of feminism continues to deepen and affect all aspects of human life. The improvement of productivity and the change of production relations urge women to re-recognize themselves, and the improvement of productivity and the change of production relations urge women to re-recognize themselves, and women's self-worth and social status are more and more affirmed. The female image, as one of the common subjects in the history of eastern and western illustration, has rich forms of expression, thus reflecting multiple connotations, and analyzing the visual elements in female illustrations from the perspective of feminism. it provides a new perspective for illustration analysis, and can deeply understand the author's creative ideas through the selection and performance of picture elements. The author starts with feminist painting art, through the analysis of representative paintings including female images in Chinese and western art history. The author starts with feminist painting art, through the analysis of representative paintings including female images in Chinese and western art history, combined with feminist thoughts to analyze the implication behind image expression, and then from feminist painting to feminist illustration research As feminism goes deep into the public's As feminism goes deep into the public's field of vision, feminist illustration expression is endowed with more forms and meaning of the times, and it is always intended to show the viewer a At the same time, illustration, as a widely used form of artistic expression, can provide an effective perspective for feminist expression as a woman. At the same time, illustration, as a widely used form of artistic expression, can provide an effective perspective for feminist expression as a suitable medium, so as to provide a window for the public to understand feminism. The research and thinking of this paper is devoted to excavating the unique and diverse female beauty in different female paintings and illustrations. and hopes to appeal to the viewer to have more tolerance and appreciation of the current feminist art, in the present when many female artists are open up the artistic road in the future with practice.
The evolution of fibre mural representation in public space
Authors: Zhang Yuanhang , Yu Jingyi , Zeng Jiaying , Zhao Yaling
Published: April 2023

The use of fibre materials plays a pivotal role in the composition of fibre mural elements, and fibre murals rely on the use of fibre materials to showcase the meaning and connotation of their works, while the diversity and buildability of fibre materials also provide a good material basis for the creation of fibre mural elements. the meaning and connotation of their works, while the diversity and buildability of fibre materials also provide a good material basis for the creation of In the long history, we can count the cultural connotations of fibre frescoes from the use of fibre materials in each stage of the work left behind at home and abroad, and the materials are the cultural carriers of fresco creation, the historical carriers bearing the social culture, artistic spirit and historical civilisation of the time the materials are the cultural carriers of fresco creation, the historical carriers bearing the social culture, artistic spirit and historical civilisation of the time, while each evolution of materials is a manifestation of a cultural change, and each cultural change is an Each cultural change is an important driving force in the development of mural art. Contemporary fresco art has entered a new era of artistic development, and unlike historical fresco works, the diversity of culture has created The artwork is an important driving force in the development of mural art. but more concerned with the people themselves, the voice of the works themselves, and the spatial expressions of the works have also become diverse, with fibre frescoes in public space The forms of expression of fibre murals in public space have also moved from the 'palace' of history to the 'public space' of the general public, from the traditional 'two-dimensional space' of hanging on the wall to the 'three-dimensional space' of standing in public space." It has been given a multi-layered humanistic meaning. This paper takes the change in the expression of fibre mural as the starting point, exploring the development of fibre mural art, experiencing the humanistic sentiments conveyed in the development of fibre art, and digging deeper into the spiritual connotation of the dimensional mural art in public environments due to the material technology, bringing realistic meaning to the modern murals that exist in architectural spaces.
Research on the design of virtual image spokesperson of national trendy brand under the concept of meta-universe
Authors: Zeng Jiaying , Zhao Yaling , Yu Jingyi , Zhang Yuanhang
Published: April 2023

The contemporary value of traditional Chinese culture has been vividly reflected in the rise of the national trend in recent years. The emergence of the "national trend" is the result of cultural confidence and cultural return brought about by the rise of national power and the economy. As a form of Internet application, the metaverse has brought new possibilities for digital communication in the media. The virtual digital person is a product of the digital society and has gradually developed by the wind of the metaverse. Therefore, this paper takes the current concept of metaverse as an entry point, firstly introducing the concept of metaverse and virtual digital person, and secondly applying the case study method to study the way of digital communication of the national style virtual idol - Ling. This paper will analyse the reasons for its rapid emergence from two aspects: the design concept of multi-element IP collision, and the marketing strategy to meet the market demand. and a marketing strategy that meets market demand, which enhances the consumer experience, builds a new marketing ecology, strengthens user brand relationships, establishes stronger emotional connections and enhances brand value. The article concludes with an outlook on the future development of virtual digital spokespeople, aiming to provide a reference for the development and practical application of virtual digital people.
Research on Machine Vision Technology and its Application in Mechanical Manufacturing Automation
Authors: Chen Ruishen , Yang Di , Zhan Xianghui
Published: April 2023

Machine vision technology was also an important part in the modern intelligent technology, as its cooperation with mechanical engineering automation could achieve technical complementation, promote the effective completion of mechanical automation production goals, and bring significant positive effects. In this paper, the machine vision technology was introduced, and the specific applications of machine vision technology in measurement, mechanical positioning, welding robot as well as other aspects of the mechanical manufacturing automation were analyzed. Meanwhile, the applications of machine vision technology in optical projection technology and agricultural production were listed. All of these not only proved that machine vision technology was an important basis for the optimization and development of mechanical manufacturing technology; but also provided some references for the integrated application of machine vision technology in mechanical manufacturing automation.
Composition Analysis and Identification of Ancient Glass Objects Using Regression and Clustering Algorithms
Authors: Mao Wangxiao
Published: April 2023

Among the artifacts excavated today, many are glass-products. Archaeologists have classified archaeological artifacts into two main types, high potassium glass and lead-barium glass, based on the chemical composition of the glass artifacts and other testing methods. For the protection of cultural relics, the chemical composition of the artifacts needs to be further analyzed and sub-categorized in order to achieve different protection measures for different categories. In this paper, firstly, based on the data, we analyze the classification pattern of high potassium glass and lead-barium glass, use logistic regression, test the significance of the results, and evaluate and analyze the regression results with the statistical distribution of the data. Then for different categories select suitable chemical indicators for subclass classification, suitable chemical indicators imply their relatively large amount of information, so use the entropy weight method to process chemical composition indicators to derive their information entropy weights, select chemical indicators according to the weights, and finally perform clustering classification according to the selected indicators. Finally, for the analysis of the rationality and sensitivity of the classification results, different classification algorithms may lead to different classification results, so the rationality and sensitivity can only be analyzed by comparing and analyzing the classification results based on different clustering algorithms for the selected chemical composition indicators.
Research on Intelligent Refrigerator Control based on Artificial Intelligence Algorithm
Authors: Cai Shaobo
Published: April 2023

Artificial intelligence (AI) brings the Internet of Things (IoT) into the construction and development system, which catalyzes the improvement of the construction quality and level of IoT, and efficiently promotes its development in the application process. Now, based on IoT, objects can be connected with the Internet for communication, so as to realize intelligent remote control and management of objects. Therefore, IoT has become an important part of the new generation of information technology. Traditional refrigerator enterprises urgently need to upgrade their products to break through the bottleneck of market development, in which intelligent refrigerators are an important direction. With the advent of the Internet era, the overall level of equipment application and the level of efficient and high-quality information processing have gradually become the new standard of work in the IoT era. In this paper, the control strategy of intelligent refrigerator based on AI is proposed. The intelligent refrigerator can be remotely controlled by computer or mobile phone through the network and the information can be sent to users in real time, which can realize the IoT control of intelligent refrigerator.
Research on Obstacle Avoidance Control of Multiple UAV Formation based on Genetic Algorithm
Authors: Lou Weijie
Published: April 2023

The UAV (Unmanned Aerial Vehicle) group cooperative formation flight technology has the advantages of wide coverage, large activity radius, strong overall search ability and high efficiency of the aircraft group. Therefore, it is suitable for various complex tasks in the military field such as battlefield environment reconnaissance, tactical attack and cooperative search. This paper proposes a consistency control strategy based on GA (Genetic Algorithm) and applies it to multi-UAV formation obstacle avoidance, which can effectively solve the collision between UAVs and between UAV formation and obstacles. Demodulate the received ground desired control command, and introduce an additional auxiliary traction acceleration through GA to avoid the local optimal solution. The auxiliary traction acceleration is related to the speed and relative position of UAV and obstacles. It can be used as a disturbance to solve the local optimal solution, and also as an auxiliary acceleration to improve the speed of avoiding moving obstacles. Finally, the rapid formation and obstacle avoidance of UAV fleet during flight are realized, and the survivability of the fleet in the battlefield environment is improved.
C-axis Oriented Polycrystalline BaFe12-xCoxO19 (x = 0, 0.3, 0.6, 0.9) for Millimeter Wave Self-biased Circulator at Ka Band
Authors: Chen Jianfeng , Liu Yingli , Yin Qisheng
Published: April 2023

The anisotropic hexagonal magnetic material is prepared using conventional ceramic process. The high magnetic anisotropy field of hexagonal is essential to extend the device bandwidth for circulator operating at millimeter wave band. The modified hexagonal BaFe12-xCoxO19 with about 9 kOe anisotropy field and its Electromagnetic property are presented. And a simulation certificating the circulator at Ka-band is given at the end of the paper.
Spacecraft Matrix Cable Assembly Process Research
Authors: Zhang Chenhua , Zhang Minghua , Xia Zhanjun , Du Huifang , Zhang Ran
Published: April 2023

The matrix calbe can effectively realize lightweight and high reliability of spacecraft cable network. This paper focus on the assembly process of matrix cable which has multi-line characteristics, introduce the assembly process and related parameters. The result was verified by appearance inspection, tensile test, voltage drop test and metallographic experiment. Make sure that the assemble process of the cable is high quality and reliability.
Design and Implementation of a Detachable Monitoring Biomass Boiler
Authors: Zhang Qingqing , Wan Zhiqiang
Published: April 2023

This paper studies a removable monitoring biomass boiler, including the boiler body. One side of the boiler body is connected with a blanking pipe, the lower end of the middle part of the blanking pipe is provided with a protective cover, the side of the protective cover close to the boiler body is provided with a transparent protective plate, the protective cover is provided with a fixed block, the fixed block is provided with a camera, the transparent protective plate is arranged between the camera and the boiler body, and the shooting direction of the camera points to the boiler body. In this boiler, the camera can capture the combustion of fuel in the boiler body. The fuel is input into the boiler body through the blanking channel, which does not affect the shooting of the camera. The dust and flue gas generated during the combustion of biomass boiler will flow out through the blanking channel, and less dust and flue gas will adhere to the transparent protective plate in front of the camera, which is convenient for the camera to capture the combustion of fuel in the boiler body.
Research on Optimization of Distribution Network based on Power Electronic Transformer
Authors: Lv Yanheng
Published: April 2023

As the core equipment of hybrid microgrid, power electronic transformer is a new type of multifunctional transformer which integrates power electronic technology, information communication technology and control protection technology. On the background of the Beijing Low-Carbon Winter Olympics Smart Grid Demonstration Project, this paper proposed an AC/DC hybrid microgrid topology with dual-end power supply based on power electronic transformer. Moreover, a coordinated optimization control for AC/DC hybrid microgrid based on power electronic transformer is studied. The content of the paper mainly includes: The common topology of power electronic transformer is studied, and a three stage four-port power electronic transformer is proposed according to the demand of demonstration project. The interface converter topology structure and control method of distributed generation and energy storage in hybrid microgrid are analyzed, and the system model of hybrid microgrid is established. Simulation results show that MPPT control can maximize the power output of distributed generation, and piecewise droop control can realize seamless switching between power control and voltage control in the grid-tied or autonomous mode.
Research on Fluid Dynamics Behavior Monitoring System based on Slurry Bed Reactor
Authors: Yuan Yan
Published: April 2023

In this paper, a behavior monitoring system is developed based on the fluid mechanics in the slurry bed reactor. In using this system, the researchers studied the hydrodynamic behavior of the slurry bed, and this paper proposed the theoretical basis and hypothesis for monitoring the fluid dynamic behavior of the slurry bed. Therefore, this paper designs a fluid mechanics model that summarizes the fluid mechanics' behavior monitoring technology and analyzes the role of vertical tube bundles in the fluid mechanics' behavior monitoring of slurry beds. At the same time, this paper also discusses the problems faced by the fluid dynamics behavior monitoring system and the future development trend.
Application of Fluid Mechanics based on Computer Virtual Reality in Pulp and Paper Engineering
Authors: Long Yunyun
Published: April 2023

The  key technology with fast development speed, virtual computer reality belongs to a kind of data-based fluid mechanics from the aspect of the working medium. From the perspective of fluid mechanics, this paper develops an application system of fluid mechanics based on virtual computer reality in pulp and paper engineering. The structure and characteristics of pulp and paper clarify the development direction of computational fluid mechanics in pulp and paper. Based on the application of the developed system in pulp and paper making, this paper analyzes and optimizes its structure to provide a scientific reference for the development and application of computer virtual reality fluid mechanics in pulp and paper making.
Optimal Solution Design for Initial Post-earthquake Casualty Dispatch Considering Road Disruption Scenarios: Based on Network Optimization Model
Authors: Guo Linze
Published: April 2023

The optimization of casualty dispatch is a key problem faced in the initial post-earthquake relief process. In view of the urgency and uncertainty of casualty rescue in the early post-earthquake period, this paper investigates the decision optimization problem of casualty dispatching in the early post-earthquake period. Based on the fact that current research on emergency disaster relief in the early post-earthquake period rarely considers the bi-objective optimization problem of transport time and system cost, this paper quantifies the risk of road disruption based on the earthquake risk level and designs a location-routing optimization model with the goal of minimizing the cost of the casualty dispatch system and minimizing the casualty transport time, which provides a solution for casualty dispatch in the initial post-earthquake period. Finally, the example of Sichuan Ya’an Lushan earthquake is used to search for the least costly and most efficient emergency rescue solution. Under this solution, even if the road network in some of the affected sites is severely damaged, timely treatment of casualties and optimal transportation system cost can still be ensured. Moreover, it can adjust measures to local conditions, and decision-makers can make a trend between shortening casualty dispatching time and reducing total system cost based on casualty injuries and road network conditions in the affected sites. Based on the casualty situation and the road network condition in the affected area, we make a trade-off between shortening the casualty dispatch time and reducing the total cost of the system to achieve the optimal casualty dispatch benefit.
Development on Equipment Operation Training and Intelligent Maintenance System based on Virtual Reality (VR) Technology for the Passenger Boarding Bridge
Authors: Zhang Panpan , Huang Guoqing , Ding Min , Chen Qingwei
Published: April 2023

In order to improve the automation level of passenger and freight ro-ro terminals and to build smart ports, an equipment operation training and intelligent maintenance system based on VR technology for passenger boarding bridges was developed. The system mainly includes VR operation guidance subsystem, data support and service subsystem, network connection and transmission subsystem, boarding bridge operation training subsystem and operation condition monitoring and diagnosis subsystem. This system can realize intelligent training of the boarding bridge and full-time operation condition monitoring.it will greatly improve the efficiency of operation and maintenance of boarding bridge.
Application of Motion Interface Tracking CVOFLS Method to Zalesak Disk Problem
Authors: Cheng Hongping
Published: April 2023

The interface curvature calculation is not accurate in VOF method and the interface mass is not conserved in Level Set method, A new interface tracking method CVOFLS is proposed (Coupled Volume of Fluid and Level Set method). This method combines the advantages of VOF and Level Set, The VOF and Level Set functions are simultaneously solved according to the fluid velocity, The interface obtained by the VOF function is used to correct the fluid quality, The Level Set function is used to calculate the interface norma, The Level Set function reinitialization process is omitted, Thus, the deficiencies of the two methods are overcome effectively. An example of interface tracking numerical simulation shows that, this method can guarantee high precision of free interface tracking and good mass conservation, and it can improve the calculation efficiency.
Research on Combination Optimization Method of Equipment Maintenance Task Package based on Maintenance Cost Analysis
Authors: Si Yong , Yuan Bo , Su Sizhe , Lin Cong
Published: April 2023

This paper proposes a maintenance task package determination method based on the analysis of generalized maintenance cost (including maintenance cost, loss cost and maintenance time), aiming at the preventive maintenance task of aircraft. In the constructed maintenance task packaging model, practical issues such as approach, workload, logical sequence of maintenance tasks and the will of operators are considered in the implementation process of preventive maintenance tasks, to clarify the priority of packaging strategy and avoid problems such as excessively large workload distribution of each task package and even the inability to be realized in the actual field due to the pursuit of low cost. Based on the actual requirements of maintenance engineering, make preventive maintenance task package to meet the requirements of operators.
Design of an Intelligent Lifting Display Cabinet
Authors: Zhang Qingqing , Wan Zhiqiang
Published: April 2023

An intelligent lifting display cabinet is designed, which includes an upper cabinet body, a lower cabinet body is connected under the upper cabinet body, a first motor is arranged on the side of the lower cabinet body, a taking groove is arranged on the upper cabinet body, a cavity is arranged in the lower cabinet body, the lower cabinet body includes a rotating transmission component, the first motor is connected with the rotating transmission component, a driving opening component is engaged on the rotating transmission component, and a rising rotation component is connected on the rotating transmission component, One end of the cover assembly is connected with the driving opening assembly, and the other end of the cover assembly is connected with the rotating transmission assembly. The display cabinet has the effect of displaying the display items in all aspects through rotation or lifting, with strong pertinence and intuition.
Comprehensive Evaluation of Team Cooperation based on Multiple Regression Analysis
Authors: Yu Lifei
Published: April 2023

Based on multiple regression analysis, this paper establishes a comprehensive evaluation model of teamwork, and based on the data given by the D question of the 2020 Mathematical Contest in Modeling, abstracting and refining a variety of different factors as indicators, using statistical related knowledge, and SPSS software to perform multivariate linear regression analysis. We analyzed the information of 38 games and determined the success criteria of the evaluation team 0-1-3 evaluation criteria, and used the SPSS software to test the reliability and validity of the data of multiple indicators for each game, and diversified with the game results. Based on the results of SPSS multiple regression analysis, a scoring model for assessing the success of teamwork was established. The evaluation of the model is in good agreement with the actual situation. Finally, we abstract all the factors appearing in this article, extract the factors with universal effectiveness, apply to teamwork of the whole society, and find other factors that have not been considered with universal effectiveness.
The Need for Bees: Colony Prediction and Analysis based on ARIMA and Entropy Weight -TOPSIS
Authors: You Shizhou , Yan Sipeng , Xu Zhenghan , Hu Jiahao
Published: April 2023

In this paper, firstly, the ARIMA time-series differential autoregression algorithm was used to establish the change model of the number of bee colonies, and then the entropy weight method TOPSIS and Pearson correlation matrix were fused to analyze the index sensitivity. Finally, the prediction model of the number of bee colonies was established based on BP dynamic neural network, to complete the prediction and index analysis of bee colonies. Finally, we will discuss the findings from mathematical modeling of the blog summary writing, which show that the colony's optimal temperature, climate, feed supply, and other environmental conditions have a significant impact on the rate of soft production.
Simulation of Influencing Factors of Buried Pipeline Interfered by Subway Stray Current
Authors: Zhang Xinyan , Guo Guangwei
Published: April 2023

The degree of interference of stray currents generated by urban rail transit to nearby buried pipeline was governed by a variety of factors. The buried pipeline model containing the subway return current system was built by COMSOL software, and the fluctuation characteristics of pipeline potential under single and bilateral power supply modes were analyzed to determine the influence of subway return current system parameters and soil resistivity and pipeline corrosion layer resistivity on pipeline potential, while the distribution of pipeline potential under non-uniform soil model was calculated. The results show that when the locomotive traction current and rail longitudinal resistance are doubled, the fluctuation degree of pipeline potential is approximately the same multiple. When the soil resistivity is 1000Ω·m or the pipeline anti-corrosion coating resistivity is 106Ω·m, the pipeline is free from stray current interference. The rail ground transition resistance is not a significant factor of pipeline potential fluctuation. The operation of the train causes the corrosion sate of the pipeline to change constantly. When the longitudinal soil resistivity is unevenly distributed, the increase of soil resistivity at the traction substation side leads to the overall positive shift of pipeline potential and further intensification of pipeline corrosion. The simulation results provide a reference for the railway department and pipeline department in the reasonable planning and layout of rail transit and pipeline.
Dimensionality Reduction and Visualization in Public Management Research from the Perspective of Algorithm Recommendation
Authors: Yu Jun , Liu Yichen
Published: April 2023

With the development of computer technology, algorithm recommendation systems have been widely used in intelligent transportation, urban planning, and other fields. Aiming at the current problems in public management in China, this paper proposes a dimensionality reduction calculation method, and uses the improved particle swarm optimization algorithm to analyze and evaluate the dimensionality reduction process. With the expectation of providing some reference value and ideas for solving practical application problems, a corresponding relationship equation is established with the minimum expected value as the objective function to solve the corresponding optimal solution, the evaluation results of system performance indicators and comprehensive scoring criteria under relevant parameters and constraints are given. The test results show that the visualization effect of the dimensionality reduction visualization model for public management research based on the algorithm recommendation perspective is over 90%.
Research on Curriculum Design Method of Teaching Resource Library based on Deep Learning Technology
Authors: Tian Weihong
Published: April 2023

In order to improve the ideological understanding of computer majors and establish a correct world outlook, outlook on life and values, the ideological and political goals of computer majors are designed; (1) A new deep learning face recognition algorithm is proposed. Aiming at the limitations of many current methods of artificially designing image description features, this algorithm proposes an unsupervised big data-driven deep image feature learning and representation mechanism. (2) A new idea of single-target tracking algorithm DPL is proposed. Single target tracking is a hot research topic in the field of computer anxiety. Our proposed DPL algorithm is still very competitive with the best algorithms in the field of object tracking. Several key technology research and model design schemes for computer major courses are proposed, which enriches the relevant research content of deep learning in the field of computer vision, and has certain theoretical and practical significance.
Analysis of Factors Affecting the Honeybee Colony Size from the Model-based Perspective
Authors: Ma Yibo , Wang Yilei , Zhang Evan , Tu Yuhin Jeremy
Published: April 2023

Bees and other important animals are vital to human survival on the earth. They not only produce delicious honey, but also play an indispensable role in plant pollination, making a unique contribution to the world. The bee population reduction crisis is known as a global problem of sustainable development goals. To consider the factors that can influence the size of honey bee populations and how these factors can affect the size of honey bee populations, we will use the most basic evaluation model. Given the need to accurately calculate the weight of each factor, we use the Analytic Hierarchy Process (AHP) model. In order to analyze the results of the AHP model, we will list our variable factors, apply the AHP model and use sensitivity analysis on it. Also, to predict how many honeybees hives you will need to support pollination of an 81,000 square meters parcel of land containing crops that benefit from pollination. we consider to use Markov Chain Monte Carlo (MCMC) model, which can indicate a stationary distribution to the attendance rate of the bees after n times.
Deep Single-Exposure HDR Imaging Approaches
Authors: Liang Yaxuan
Published: April 2023

The purpose of single-exposure HDR image reconstruction is to recover the missing information in the saturated region of the LDR image, and use neural network to reconstruct the HDR image. In recent years, single-exposure HDR imaging using deep learning (DL) has made significant progress. In this study, the latest development of deep single-exposure HDR imaging method was comprehensively and deeply investigated and analyzed. At present, there are five main methods for deep single-exposure HDR imaging: direct learning from a single LDR image, generating bracketed LDR image stacks, computationally efficient learning, learning camera imaging pipeline, and learning neural sensors. Importantly, this study reviewed the limitations and future work of each category. In addition, this study also discussed the potential and future trends of each category constructively.
Research on Price Evaluation of Second-hand Container Ship based on GA-BP Neural Network
Authors: Liu Cong
Published: April 2023

As a capital investment, whether the investment in second-hand container ships can bring benefits to the enterprise depends on whether the benefits of ship operation can repay the investment and obtain certain profits. The purchase price of second-hand ships is the key factor, so an evaluation model is built to predict the price of second-hand container ships and evaluate its rationality. To help enterprises better understand the actual price of ships when buying and selling ships, and hope to improve the market evaluation system. In order to accurately evaluate the price of second-hand ships, the Clarkson database was used to obtain 362 container ship transaction data from December 2019 to December 2022, and a GA-BP network neural model based on ship age, deadweight tonnage and new shipbuilding price was established. The weights and thresholds were optimized through genetic algorithms, and then assigned to the BP neural model. The test results show that the mean square error is 0.0185, the evaluation error is basically 20%, and the error within 10% accounts for nearly half. It is proved that the model can preliminarily evaluate the transaction price of second-hand ships, and has certain feasibility and rationality.
Control Light Pollution by Genetic Algorithms
Authors: Fan Hangrui , He Shiwen
Published: April 2023

Based on Light pollution, the team first investigated the important factors that may lead to light pollution, and is divided into three factors, respectively, they are cultural factors, geographical factors and development factors, each and there are several secondary factors, they are GDP, air pollution, river coverage, vegetation coverage, residential coverage, industrial coverage, population quality and other factors. After obtaining these key factors affecting light pollution, our group conducted quantitative modeling based on the two-level AHP hierarchical analysis and derived the weights of these key factors. Noted that because the AHP model largely depends on expert opinion, has a lot of subjectivity, so our group further introduced the grey correlation analysis to more accurately and our assessment results and actual situation is very well, such as protection areas, rural areas for almost no light pollution or light pollution, and urban areas or urban areas are severe or moderate light pollution. Based on the above work, our group adopted the multi-target gene optimization method to obtain the optimal set of strategies, and greatly reduced the light pollution level under the premise that it did not affect the development.
Analysis Model of Molten Crystallization of Mold Flux based on Image Segmentation Recognition
Authors: Yuan Sha
Published: April 2023

In this paper, through the research and analysis of the melting and crystallization process of mold flux, the characteristics of steel are improved. In the process of casting billet, the solidification characteristics of continuous casting billet are closely related to the physical and chemical properties of mold flux. The hot wire recognition image caused a great waste of manpower and material resources. Therefore, it is particularly important to develop automatic feature extraction and mathematical modeling techniques for sequence images. In this paper, correlation analysis, image segmentation and extraction technology, time series, discrete wavelet and other related models are used to study the images in the melting and crystallization process of mold flux, and analyze the differences of mold flux in the melting and crystallization process, so as to solve the kinetic relationship between the melting and crystallization process of mold flux.
Research on Indicators Affecting Climate based on GA-BP Neural Network
Authors: Dong Baorui , Su Yujing , Qiu Huantian , Zhou Yijun , Zhang Jiaqi
Published: April 2023

The economic connotation reflected by GDP index is the situation of economic growth under the green background of sustainable development theory, and reflects the coordinated development of man and nature. The team first defined GGDP, selected indicators affecting climate based on the calculation of GGDP by value loss method, and improved the model. The objective weights of indicators were calculated by entropy weight method. Finally, the correlation analysis was carried out by taking temperature and carbon dioxide emissions as evaluation indicators of climate mitigation, and the heat map was drawn. The results show that there is a strong correlation between Annual freshwater withdrawals and Changes in sulphur oxide emissions. Therefore, when GGDP is used as the main indicator to measure the health of a country or global economy, it has a measurable impact on climate mitigation. Finally, the sensitivity analysis of the model is carried out, and the robustness of the model is repeatedly verified.
Evaluation of Bus Driver's Driving Behavior based on Entropy Weight TOPSIS Model
Authors: Wang Yaxuan
Published: April 2023

In recent years, due to frequent traffic accidents caused by bus drivers' irregular driving behavior, the safe operation of buses has become the focus of social attention. How to reduce traffic safety hazards and build a smart transportation system is an urgent problem to be solved. This paper uses bus GPS data, considers seven driving behavior characteristics from the perspectives of economy, safety, and drivers themselves, and uses K-means clustering to preliminarily divide driving behavior types, and divides driving behavior into radical, general, and There are three types of caution, and a comprehensive evaluation model of driver's driving behavior based on the entropy weight TOPSIS method is proposed. By scoring the driving behavior of bus drivers, the drivers with bad driving behavior can be warned and trained in time to ensure the safety of passengers. The research results of this paper can provide a certain reference value for the establishment of a comprehensive evaluation system for bus drivers' driving behavior and the development of driving behavior training.
AI in Video Recommendation System
Authors: Li Eric
Published: April 2023

Short videos are very popular all over the world.  Video recommendation system is an essential part in it. It can help people to watch the video that they are interested in. This paper is written for study the specific principle of the video recommendation system. The result was getting through relative literatures and actual test. Short video recommendation systems typically use collaborative filtering and deep learning techniques to achieve this. Collaborative filtering comes in two types: user-based and content-based. User-based collaborative filtering recommends videos to new users based on the viewing behavior of similar users. Content-based collaborative filtering uses video features and similarity to recommend similar videos. Finally, this paper shows how the video web set can learn what is the user’s interest.
Research on Node Scheduling Algorithm of Sensor Network based on Support Vector Machine
Authors: Zhou Xinyi
Published: April 2023

In the current Internet era with information explosion, SN (Sensor network) has important scientific research value and social and economic value in many fields because of its micro-intelligence and huge and basic perceptual data. Ensuring the coverage quality of the network cannot be at the expense of network connectivity. The decrease of network connectivity is equivalent to the failure of some nodes in the network, and the resulting data collection hole will affect the judgment of end users. In this paper, the scheduling algorithm of SN nodes based on SVM (Support vector machine) is studied. Considering the excellent performance of EN (ensemble learning), a scheduling algorithm of EN-LS-SVM is proposed by introducing bagging and random subspace method. The research results show that the network lifetime of the proposed algorithm is extended by 180s and 13.28% compared with the traditional algorithm on the premise that the network coverage is not less than 80%. The algorithm proposed in this paper can reduce network coverage vulnerabilities, keep network coverage at a high level and ensure network QoS.
Preface: 2023 International Conference on Mathematical Modeling, Algorithm and Computer Simulation (MMACS 2023)
Authors: Walkley Ophelia , Liu Juntao
Published: April 2023

2023 International Conference on Mathematical Modeling, Algorithm and Computer Simulation (MMACS 2023) was held virtually during February 25-26, 2023 in Seoul, South Korea due to the Covid-19. On behalf of the organizing committee and technical program committee, we would like to extend the warmest welcome to you.

MMACS 2023 is dedicated to make it an ideal platform for people to share views and experiences in artificial intelligence, mathematical modeling, algorithm, computer simulation and related areas. The primary goal of the conference is to promote research and developmental activities and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.

MMACS 2023 received submissions from universities and institutions. After peer review, papers are accepted for publication in conference proceedings based on its topic relevance and quality. We continue to build on the theme of mathematical modeling, with keynotes and papers on this important and growing topic. We strive to organize a conference that is technical strong while offering a great attendee experience. We look forward to your survey feedback in continuing to keep this conference a great experience in future years.

MMACS Conference Committee

Seoul, South Korea
Prediction Model for Various Elements of Glass Artifacts Based on Probability Distribution
Authors: Qiu Haiping , Zhu Wenjie , Zhu Sirun
Published: April 2023

During the weathering process of glass, its internal and external environments undergo complex exchange of elements, resulting in the possibility that archaeologists may misjudge the category of glass due to the changes in the percentage of its components. In this paper, the data used is from the C problem of the 2022 Contemporary Undergraduate Mathematical Contest in Modeling to fit the probability distribution of each component in glass using a logistic model, and established a prediction model based on the probability distribution. The results demonstrate that the model has a good interpretation in the prediction of the chemical composition content of glass.
Research on STM32-Based Signal Conditioning System Measurement System
Authors: Wei Zifei
Published: April 2023

The measurement of the signal modulation system is a vital part of channel transmission signal technology, which has a very important position in the signal communication quality assurance system. With the development of radio communications in modern radio technology, the research of AM and FM signal modulation measurement methods has become an important element in this field of research. This research is a signal modulation system using an STM32F407 microcontroller as the control core. The hardware of the system is mainly composed of a coherent demodulation circuit system and a comparator judgment circuit system, and the coherent demodulation circuit system is divided into AM demodulation circuit system and an FM demodulation circuit system. The frequency of the input signal was measured by a comparator, and the frequency change was used to initially determine the signal type. In which the modulating signal of AM signal was obtained by DDS generating separate orthogonal sine and cosine signals with the input signal through a series of operations, while the FM signal was operated with the sine signal. Finally, the amplitude and frequency information of the FM signal was obtained through the comparator, and finally reduced to the modulating signal of the FM signal. Output demodulated signal, its signal waveform without obvious distortion apparent phenomenon. Promotes the prospect of using the calibration of AM and FM signal generators in the field of communication.
Based on the CART Decision Tree Model of Prediction and Classification of Ancient Glass-Related Properties
Authors: Han Yanyan , Xu Ke , Qin Jiayin
Published: April 2023

Weathering occurs when glass interacts with the atmosphere. Ancient glass is susceptible to the influence of the burial environment. In the process of glass weathering, its composition ratio will be changed due to a large number of internal elements and environmental elements exchange. In this paper, Fisher's exact test and frequency analysis are used to test the glass pattern, type, color, and surface weathering respectively, and the conclusion is that there are significant differences between glass type and surface weathering, while there are no significant differences between pattern, color, and surface weathering. Then, the CART decision tree algorithm was used to classify the glass into weathered and unweathered, and a binary tree was established with 14 chemical components as characteristics. The average chemical composition of all the sampling points in the sibling nodes of the node where the weathering point is located was used as the predictive value of the chemical composition before the weathering point. Finally, the correlation analysis of the chemical constituents of high potassium glass and lead barium glass was carried out by hierarchical clustering method. In a high-potassium glass, silica is one category, and other chemical components are another category. In a lead-barium glass, silica and lead oxide are one category, and other chemical components are another category. Therefore, it can be considered that the chemical composition relationship of lead-barium glass is more complex.
Glass Classification and Identification Based on K-Means Clustering Model
Authors: Lv Yiting , Tan Hengyuan , Meng Feier , Shao Guanghu , Yang Sizhe
Published: April 2023

This paper proposes a method for the classification and identification of glass artefacts based on a K-mean clustering model. Using weathered and unweathered glass with high potassium and lead-barium as the main constituent as the main samples, a cluster analysis of their chemical composition was carried out to derive subclass subdivision and extract characteristic chemical components, based on which a sub-classification model of unknown glass based on the K-mean clustering model was established to provide a new method for the identification of glass artefact types. The results were analysed for reasonableness and sensitivity, and the model was proved to be of generalisation and application value.
Composition Analysis and Identification Scheme of Ancient Glass Products Based on K-Means Algorithm
Authors: Wang Chunhui , Song Jiajia , Yin Mingrui
Published: April 2023

Chinese ancient glass mainly includes high potassium glass and lead barium glass. In the process of weathering, its chemical composition is easy to change, affecting the judgment of its category. The data of this study are based on the chemical composition ratio of classified glass relics obtained by preprocessing. Firstly, a random forest model is constructed based on the Gini coefficient to obtain the contribution of lead oxide to the classification. The decision tree in the random forest is extracted, and the optimal classification rule is obtained by using the majority voting mechanism : when ω ( PbO ) is 10 %, it is lead barium glass. Secondly, the K-means clustering algorithm is divided into three sub-categories. The characteristic quantity with large standard deviation is used as the basis for classification, and the classification results are obtained : high potassium glass sub-categories include low calcium type, medium calcium aluminum type and high calcium aluminum type ; lead barium glass subclass includes low barium type, medium lead barium type, high lead barium type. For the identification of unknown types, the Euclidean distance between the unknown category and the sub-category centroid is calculated, and the minimum distance is taken to determine the sub-category it belongs to.