发布求助
文献互助 智能选刊 最新文献

2015 International Conference on Computer Science and Mechanical Automation (CSMA)最新文献

筛选
英文 中文
An Outer Voltage-Loop Flux-Weakening Control Based on Over-Modulation of the Permanent Magnet Synchronous Motor 基于过调制的永磁同步电机外电压环弱磁控制
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.64
Jiakun Lin, Qunzhang Tu, Xia Feng, Kejun Duan
{"title":"An Outer Voltage-Loop Flux-Weakening Control Based on Over-Modulation of the Permanent Magnet Synchronous Motor","authors":"Jiakun Lin, Qunzhang Tu, Xia Feng, Kejun Duan","doi":"10.1109/CSMA.2015.64","DOIUrl":"https://doi.org/10.1109/CSMA.2015.64","url":null,"abstract":"Researched on the permanent magnet synchronous motor (PMSM) for the electric-drive tracked bulldozer, an outer voltage-loop flux-weakening control strategy based on over-modulation, which is an organic combination of the traditional outer voltage-loop flux-weakening control and over-modulation algorithm, is presented in this paper. The simulation and the experiment of the control strategy are carried out. Compared to the general flux-weakening control strategy, this strategy can make the DC bus voltage be fully utilized, so that the motor can be maintained at the maximum linear modulation under the steady-state condition. The responsiveness of the motor is realized to improve effectively, and the efficiency of the motor control system is maintained in a high range. The feasibility of the strategy is verified through comparison. This paper provides the basis for the study of the high-performance control of the PMSM for the electric-drive tracked bulldozer.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132623759","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
Programming to Achieve the Reception Extraction and Translation of GPS Positioning Information GPS定位信息接收提取与转换的编程实现
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.52
Mingqin Shao, Xuelin Yang
{"title":"Programming to Achieve the Reception Extraction and Translation of GPS Positioning Information","authors":"Mingqin Shao, Xuelin Yang","doi":"10.1109/CSMA.2015.52","DOIUrl":"https://doi.org/10.1109/CSMA.2015.52","url":null,"abstract":"There is a large amount of information within every group of the received GPS positioning information, Users only need to extract and translate the useful information for them, this can be achieved by computer programs. The GPS information extraction follows the NMEA0183 standard, this paper writes a simple MFC dialog-based program based on the serial communications and GPS communication protocols. The program can be used to extract and translate GPS positioning information, store the positioning information and calculate the differential correction and then present the positioning results to users. This paper describes the function of each part and implementation methods of the program.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124221715","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: 1
Fusion of Polarization Image Using Bidimensional Empirical Mode Decomposition 基于二维经验模态分解的偏振图像融合
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.48
Dexiang Zhang, Jiaxing Li, Zihong Chen, Jingjing Zhang
{"title":"Fusion of Polarization Image Using Bidimensional Empirical Mode Decomposition","authors":"Dexiang Zhang, Jiaxing Li, Zihong Chen, Jingjing Zhang","doi":"10.1109/CSMA.2015.48","DOIUrl":"https://doi.org/10.1109/CSMA.2015.48","url":null,"abstract":"Empirical mode decomposition (EMD) provides a powerful tool for adaptive multiscale analysis of nonstationary signals. Bidimensional empirical mode decomposition (BEMD) techniques decompose an image into several bidimensional intrinsic mode functions (BIMFs) and a bidimensional residue (BR). Firstly, several polarization images can be decomposed into several BIMFs with multi-scales using BEMD. For the BIMF coefficients, the teager energy-based method is used. For the each BIMF coefficients, the area-based teager energy larger value of information measurement is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused image. Experimental results show that the proposed algorithm gives more satisfactory results than the traditional image fusion algorithms in preserving the edges and texture information.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115245006","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: 1
Research of Crane Scheduling Based on Birth and Death Chain in the Production Shop Field 基于生产车间生死链的起重机调度研究
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.56
Xijuan Yang, Suoping Li
{"title":"Research of Crane Scheduling Based on Birth and Death Chain in the Production Shop Field","authors":"Xijuan Yang, Suoping Li","doi":"10.1109/CSMA.2015.56","DOIUrl":"https://doi.org/10.1109/CSMA.2015.56","url":null,"abstract":"The crane scheduling model based on birth and death chain is established in this paper through analysis of the working process of the cranes and dispatching rules. According to the model, the equilibrium conditions of the system are analyzed. And probabilistic characteristics and the performances in steady-state are calculated. Furthermore, the numerical test cases are applied to testify the effectiveness of the proposed methods. The computational simulation results show that the proposed methods are efficiency, and provide a way to calculate the critical parameters of steady-state and the best number of cranes.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114234191","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
Improved Expected Cross Entropy Method for Text Feature Selection 改进的期望交叉熵文本特征选择方法
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.17
Guohua Wu, Liuyang Wang, Nailiang Zhao, Hairong Lin
{"title":"Improved Expected Cross Entropy Method for Text Feature Selection","authors":"Guohua Wu, Liuyang Wang, Nailiang Zhao, Hairong Lin","doi":"10.1109/CSMA.2015.17","DOIUrl":"https://doi.org/10.1109/CSMA.2015.17","url":null,"abstract":"Feature selection plays an important role in text categorization, and contributes directly to the accuracy of the categorization. In the process of feature selection, due to the lack of consideration of the traditional expected cross entropy algorithm for document frequency, we first improve the expected cross entropy formula of the traditional, and then propose an improved text feature selection based on the text word frequency information. The method is modified by the expected cross entropy algorithm in three aspects of the frequency of features within category, the frequency distribution within category and the frequency distribution among different categories. The result of text categorization show that improved expected cross entropy feature selection approach has a more excellent effect in text categorization.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131753374","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: 11
Optimization and Simulation of Propeller Propulsion System for Hybrid Underwater Glider 混合式水下滑翔机螺旋桨推进系统的优化与仿真
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.67
Bo Hu, Ruiyuan Zhang, Wenliang Zhang, Yiteng Zhang
{"title":"Optimization and Simulation of Propeller Propulsion System for Hybrid Underwater Glider","authors":"Bo Hu, Ruiyuan Zhang, Wenliang Zhang, Yiteng Zhang","doi":"10.1109/CSMA.2015.67","DOIUrl":"https://doi.org/10.1109/CSMA.2015.67","url":null,"abstract":"Hybrid Underwater Gliders (HUGs) integrate advantages of Autonomous Underwater Gliders (AUGs) with those of Autonomous Underwater Vehicles (AUVs). HUGs with buoyancy engine and the auxiliary propeller, compared with traditional AUGs, get more various and optimal motion modes, including glide in a saw tooth path with single buoyancy engine, thrust as traditional AUVs with single propeller, and power glide with both buoyancy engine and propeller. In this paper, propeller propulsion system of HUGs, Petrel II, is designed. Dynamic model is established and motion modes are studied. Simulations and field trials validate that abundant motion modes improve motion ability of HUGs and expands the application value of HUGs.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130298569","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: 1
Rolling Thickness Prediction Based on the Extreme Learning Machine and Clustering 基于极限学习机和聚类的轧制厚度预测
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.13
Li Wang, Linlin Fan, Na Lu, X. Cui, Yonghong Xie
{"title":"Rolling Thickness Prediction Based on the Extreme Learning Machine and Clustering","authors":"Li Wang, Linlin Fan, Na Lu, X. Cui, Yonghong Xie","doi":"10.1109/CSMA.2015.13","DOIUrl":"https://doi.org/10.1109/CSMA.2015.13","url":null,"abstract":"The accuracy of thickness is an important standard to measure the strip quality. Therefore, it is crucial to accurately obtain a high precision thickness. The ELM (extreme learning machine) based on clustering forecast method is presented for hot rolled strip thickness prediction. Firstly, strong correlation properties of thickness are obtained by data pretreatment, in order to ensure the effectiveness of the thickness model. Then, a clustering analysis is made about the strong correlation attribute data. Finally, ELM network is performed respectively for each type of prediction. This paper uses filed production data for training and testing, and takes the BP network prediction model as comparison. The simulation results show that this method can predict the thickness more quickly and accurately, and better meet the needs of actual production.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134224150","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: 1
Measurement Method for Complex Shape of Hydraulic Turbine Blade Using Binocular Vision 水轮机叶片复杂形状的双目视觉测量方法
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.76
Zhenwei Wang, Fang Fan, Shuangyin Liu
{"title":"Measurement Method for Complex Shape of Hydraulic Turbine Blade Using Binocular Vision","authors":"Zhenwei Wang, Fang Fan, Shuangyin Liu","doi":"10.1109/CSMA.2015.76","DOIUrl":"https://doi.org/10.1109/CSMA.2015.76","url":null,"abstract":"In industrial practices, there are lots of parts or components with complex shape, such as hydraulic blade, propeller, etc. Thus, rapid measurement for those parts or components will affect the production cycle and cost greatly. In this paper, we introduce the binocular vision to measure the hydraulic blade. First, the camera calibration is conducted to calculate intrinsic and external camera parameters, and two images are obtained from different views. Then, the stereo matching is discussed in detail, such as feature extraction, detection, constraints and so on. Thirdly, we reconstruct the geometric model based on above analysis using NURBS. This method is a non-contact method, which can improve the measurement efficiency and enhance measurement flexibility.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130867371","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
An Overview of Study of Passowrd Cracking 密码破解研究综述
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.12
Fei Yu, Yulei Huang
{"title":"An Overview of Study of Passowrd Cracking","authors":"Fei Yu, Yulei Huang","doi":"10.1109/CSMA.2015.12","DOIUrl":"https://doi.org/10.1109/CSMA.2015.12","url":null,"abstract":"This paper studies the current status and advance of study of password cracking. First, we give a classification for password cracking from different dimensions. We studies brute-force cracking, dictionary cracking and rainbow table cracking. We found some new techniques such as brute-force cracking based on probability method, Markov models and data mining. High performance computing in password cracking is also studied, we found that more and more password cracking system using GPU platform or FPGA platform. We indicate that the password cracking techniques will develop with the growth of computing technology. The integration of various methods will increase the speed and success probability of password cracking.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130228394","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: 6
Improving Steganalysis by Fusing SVM Classifiers for JPEG Images 利用融合SVM分类器改进JPEG图像隐写分析
2015 International Conference on Computer Science and Mechanical Automation (CSMA) Pub Date : 2015-10-23 DOI: 10.1109/CSMA.2015.44
Peiqing Liu, Fenlin Liu, Chunfang Yang, Xiaofeng Song
{"title":"Improving Steganalysis by Fusing SVM Classifiers for JPEG Images","authors":"Peiqing Liu, Fenlin Liu, Chunfang Yang, Xiaofeng Song","doi":"10.1109/CSMA.2015.44","DOIUrl":"https://doi.org/10.1109/CSMA.2015.44","url":null,"abstract":"As the present fusing strategies cannot utilize the correlation of different detection results for image steganography effectively, a steganalysis method is proposed based on fusing SVM classifiers. Firstly, different feature subsets are used for the training of SVM classifiers. Secondly, the detection results of multi-classifiers are utilized to train a fusing classifier, the fusing classifier can learn the correlation and diversity of detection results of sub-classifiers. From the experimental result, it can be seen that the proposed steganalysis method can achieve better detection performance for J-UNIWARD steganography compared with voting and Bayesian methods.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114331759","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: 7
首页 上一页 下一页 尾页
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