发布求助
文献互助 智能选刊 最新文献

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)最新文献

筛选
英文 中文
Research on the lightweight design of Baja racing skeleton based on finite element analysis 基于有限元分析的巴哈赛车骨架轻量化设计研究
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987750
Qixuan Hu
{"title":"Research on the lightweight design of Baja racing skeleton based on finite element analysis","authors":"Qixuan Hu","doi":"10.1109/ICDSCA56264.2022.9987750","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9987750","url":null,"abstract":"In this paper, the finite element model of Baja racing car is constructed based on finite element analysis, the three-dimensional geometric model of the frame is established, the skeleton is appropriately simplified, the boundary conditions and loads are set, and then the skeleton of Baja off-road racing car is constructed. At the same time, this paper carries out the lightweight design of the body skeleton based on the approximate model method, and then obtains the optimal solution for each design variable. The lightweight design of the skeleton is based on the rational material selection, welding process, finite element mesh accuracy and the prediction accuracy of the approximation model, and the lightweight goal is achieved.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123875169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Internet of Things Data Compression Method Based on a Railway Project 基于铁路工程的物联网数据压缩方法
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987739
Haotian Chen, W. Yang, Xiya Li, Jinglin Xu, Pengyu Sun, Cannan Yu
{"title":"An Internet of Things Data Compression Method Based on a Railway Project","authors":"Haotian Chen, W. Yang, Xiya Li, Jinglin Xu, Pengyu Sun, Cannan Yu","doi":"10.1109/ICDSCA56264.2022.9987739","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9987739","url":null,"abstract":"Due to the rapid development of the Internet of Things, monitoring sensors have become increasingly popular in railway construction. The project has relatively high requirements for real-time monitoring, data storage, and rapid display to ensure construction safety. Therefore, data compression is a fundamental issue regarding time series generated by a wide range of sensors. For sequential data, a reasonable compression method should possess the following characteristics: a high degree of data reduction, the preservation of local and global features, and rapid response to user requests. The computer performs better as a result of several features. This paper utilizes a piecewise approximation algorithm to encode sequential data without compression. Comparatively to coding compression, this method can process and display data more quickly, and the compression rate is as high as 24%.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121278787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on used car price prediction based on random forest and LightGBM 基于随机森林和LightGBM的二手车价格预测研究
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988116
Yashi Li, Yuxuan Li, Yuexi Liu
{"title":"Research on used car price prediction based on random forest and LightGBM","authors":"Yashi Li, Yuxuan Li, Yuexi Liu","doi":"10.1109/ICDSCA56264.2022.9988116","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988116","url":null,"abstract":"In recent years, while the scale of the used car market has been expanding, the price evaluation system of my country's second-hand car market has exposed the problem that it does not meet the market demand. Accurate used car price prediction can help people make correct decisions and avoid the wanton price tag of used cars in the market as much as possible. This paper uses the random forest and LightGBM algorithms to predict the price of used cars and compares and analyzes the prediction results. The experiments found that the relevant evaluation indicators of the random forest and LightGBM models are as follows: MSE is 0.0373 and 0.0385 respectively; MAE is 0.125 and 0.117 respectively; The R square of prediction is 0.936 and 0.933 respectively. Among the two prediction models, the prediction error of the LightGBM model is smaller, and it can be considered to be applied to other fields in future research.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121367411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Image enhancement and noise suppression for Optical Coherence Tomography images based on variational image decomposition and gaussian mixture model 基于变分图像分解和高斯混合模型的光学相干层析成像图像增强和噪声抑制
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988346
Yu Wang, Biyuan Li, Jun Zhang
{"title":"Image enhancement and noise suppression for Optical Coherence Tomography images based on variational image decomposition and gaussian mixture model","authors":"Yu Wang, Biyuan Li, Jun Zhang","doi":"10.1109/ICDSCA56264.2022.9988346","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988346","url":null,"abstract":"Optical Coherence Tomography (OCT) images often suffer from low contrast and severe speckle noise. For such need, this work presents a new image enhancement and noise suppression method for OCT images. A new variational image decomposition (VID) model TV-Hilbert-Curvelet is proposed in order to decompose the OCT image into three part: structure, background and noise. And the gaussian mixture model (GMM) is used to generate one binary mask template from the background part, the multi scale Retinex (MSR) is used to enhance the structure part. Experimental results show that the proposed method can enhance the image structure and suppress speckle noise well, and three quality indexes are used to verify the experimental results of the proposed method.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117064577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Volleyball Drop Trajectory Model Based on Computer Big Data 基于计算机大数据的排球下落轨迹模型研究
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988659
Geng Shuai
{"title":"Research on Volleyball Drop Trajectory Model Based on Computer Big Data","authors":"Geng Shuai","doi":"10.1109/ICDSCA56264.2022.9988659","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988659","url":null,"abstract":"A mathematical model is established for the actual trajectory of the volleyball. This paper analyzes the impact of the ball after hitting the ball from different directions and angles, and obtains the range of the hitting angle of the ball that falls into the hard-to-defense area after being hit. In this paper, qualitative analysis and the free fall of the ball in the vertical direction are used, and then the operation of the ball after being hit is analyzed from the whole. In this paper, the Lagrange conditional extremum method is used to obtain the optimal angle range of the shot. This paper uses the mathematical software maple8 and matlab6.5 to solve the problem through the specific actual data in the volleyball game. The study found the optimal direction of hitting the ball.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116302894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of the whole process temperature field of RC beam and column transfer joint under fire 火灾作用下RC梁柱转换节点全过程温度场分析
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/icdsca56264.2022.9988200
W. Kong, Yamin Song
{"title":"Analysis of the whole process temperature field of RC beam and column transfer joint under fire","authors":"W. Kong, Yamin Song","doi":"10.1109/icdsca56264.2022.9988200","DOIUrl":"https://doi.org/10.1109/icdsca56264.2022.9988200","url":null,"abstract":"In this paper, the ABSQUS soft ware is used to analyze the temperature field of the whole process of heating and cooling of the RC beam column transfer joint. The results show that the variation trend of simulated temperature field is similar to that of the experiment, the highest temperature of the measurement point all appears after cease-fire, and the temperature lag degree of different measurement points is different. By comparing the temperature fields of simulated and measured measuring points, it is found that the temperature of measuring points close to the specimen surface is in good agreement, but the temperature of measuring points inside is different to some extent.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127433929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection Method of Early Data Based on SVM Classifier 基于SVM分类器的早期数据检测方法
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988340
Yunkai Zhan
{"title":"Detection Method of Early Data Based on SVM Classifier","authors":"Yunkai Zhan","doi":"10.1109/ICDSCA56264.2022.9988340","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988340","url":null,"abstract":"Alzheimer's disease is a common neurodegenerative disease in the elderly, and timely detection and treatment at the early-stage of the disease can prevent from worsening and promote recovering. Traditional Alzheimer's disease detection methods are costly and technically difficult to achieve. This project mainly explores a method for detecting early Alzheimer's disease based on plasma protein and support vector machine. The specific process is to collect human plasma protein data, extract features and classify it through support vector machine, thereby Check whether it has an early-stage disease. This method has certain advantages over traditional methods in terms of detection cost, accuracy, and difficulty of implementation.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125810717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retrospect and prospect of electric airplane in the propulsion system, energy storage and supply system 电动飞机在推进系统、储能和供电系统方面的回顾与展望
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987833
Jiawei Ma, Shuheng Wang, Yueming Wang
{"title":"Retrospect and prospect of electric airplane in the propulsion system, energy storage and supply system","authors":"Jiawei Ma, Shuheng Wang, Yueming Wang","doi":"10.1109/ICDSCA56264.2022.9987833","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9987833","url":null,"abstract":"Climate issues pushed the electrification of the airplane. Another drawback of the traditional airplane will also introduce to explain the necessity of electrification. The first section will include a brief review of the current development of electric airplanes with practical challenges. The later sections will discuss how to resent technology approach to the challenge of the propulsion system and energy storage and supply system. The paper will first explore three different designs for the propulsion system for an all-electric airplane and the feasibility of superconducting motors. In general, the all-electric airplane is facing many problems with current technology in the aspect of propulsion. And secondly, focus on the aspect of energy storage and supply system. In this section, two key design parameters will be introduced and the effect of which on all electric airplanes proposed. Besides that, a promising type of battery, lithium-ion battery, will be introduced, and analyses based on the two key design parameters will perform.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126104777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Control System Design for Welding Robot Workstation 焊接机器人工作站控制系统设计
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988126
Wei Gui, Xin Chen
{"title":"Control System Design for Welding Robot Workstation","authors":"Wei Gui, Xin Chen","doi":"10.1109/ICDSCA56264.2022.9988126","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988126","url":null,"abstract":"With the rapid development of the intelligent manufacturing industry, welding robot workstations have been widely applied in the prototyping and manufacturing of industrial products. In this study, the control system design was performed for a welding robot workstation. First, the forward kinematics analysis of the positioner in the welding robot workstation was conducted through the kinematic method. Second, the electrical schematic design of this workstation was implemented by selecting electrical components via electrical design software. Finally, the communication between equipment in the workstation was designed. This study provides a certain theoretical reference for the control system design and research of welding robot workstations and it is of practical significance for applying welding robot workstations to curriculum practice teaching in colleges and universities.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126119027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of smart trading strategy system based on computer dynamic prediction models and algorithm optimization 基于计算机动态预测模型和算法优化的智能交易策略系统的开发
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988696
Yumeng Wang, Boyu Zheng
{"title":"Development of smart trading strategy system based on computer dynamic prediction models and algorithm optimization","authors":"Yumeng Wang, Boyu Zheng","doi":"10.1109/ICDSCA56264.2022.9988696","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988696","url":null,"abstract":"Balancing the relationship between investment risk and return to formulate trading strategies has become an urgent problem in the capital market. In the study, by analyzing the historical price data of gold and bitcoin from 2016 to 2021, the time series method combined with a simple moving average method was introduced to develop price prediction models of gold and bitcoin in the next trading day, accurate predictions of future price for both financial products were completed. Based on this, by comparing the prices of gold and bitcoin two days before and after, six trading types of their asset portfolios were determined, and an optimal decision-making model was established to provide investors with the best daily trading strategy. Furthermore, the sensitivity under different transaction costs was tested by defining the sensitivity of trading strategies to transaction costs. Research informs investors on how to invest for the best returns.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128110575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信