2011 2nd International Conference on Instrumentation Control and Automation最新文献

Optimization of partial slip surface at lubricated-MEMS 润滑mems部分滑移面优化

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-15 DOI: 10.1109/ICA.2011.6130190

M. Tauviqirrahman, R. Ismail, D. Schipper, J. Jamari

引用次数: 1

Surface control design of rocket using MIMO PID robust integral backstepping 基于MIMO PID鲁棒积分反演的火箭表面控制设计

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-01 DOI: 10.1109/ICA.2011.6130149

Beni Kusuma Atmaja, E. Joelianto

{"title":"Surface control design of rocket using MIMO PID robust integral backstepping","authors":"Beni Kusuma Atmaja, E. Joelianto","doi":"10.1109/ICA.2011.6130149","DOIUrl":"https://doi.org/10.1109/ICA.2011.6130149","url":null,"abstract":"Rocket is a system with multiple inputs and multiple outputs that has unstable dynamics, non-linear, high order, and sensitive to external disturbances. The mathematical model which represents the dynamics of the rocket has parameters that are usually an approximation, this leads to uncertainty of empirical representations. In addition, wind disturbances can destabilize the movement of the rocket. In this paper, it is proposed the robust MIMO PID controller obtained by using the robust H∞ synthesis via integral backstepping method for rocket control problems. Synthesis of PID controllers using robust H8 methods in the form of state feedback results in integral backstepping structure and new parameter ρ. PID controller parameters are obtained via the algebraic Riccati equation solution to determine the optimum value of ρ and γ. The controller is tested through a simulation model of a rocket in flight conditions at altitudes of 1.000 meters to 10.000 meters with a wind disturbance and model uncertainties. Simulation results show that the wind disturbance attenuation reaches −46 dB at a frequency of disturbances and μ-analysis in the frequency domain shows that the system is stable robust.","PeriodicalId":132474,"journal":{"name":"2011 2nd International Conference on Instrumentation Control and Automation","volume":"10 19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127448835","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: 3

Wavelet denoising to analyze electroencephalogram signal of perfect pitch and Non Perfect Pitch Subjects 小波去噪分析完美音高和非完美音高受试者的脑电图信号

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-01 DOI: 10.1109/ICA.2011.6130133

Suprijanto, Renata Amelia, Anugrah Sabdono Sudarsono, J. Sarwono

{"title":"Wavelet denoising to analyze electroencephalogram signal of perfect pitch and Non Perfect Pitch Subjects","authors":"Suprijanto, Renata Amelia, Anugrah Sabdono Sudarsono, J. Sarwono","doi":"10.1109/ICA.2011.6130133","DOIUrl":"https://doi.org/10.1109/ICA.2011.6130133","url":null,"abstract":"Brain responses can be measured using Electroencephalogram (EEG). In the raw EEG signal, there are plenty of information that may suggest many different activity in the brain. Time-based EEG analysis is required for quantify brain response in a very short time after the stimulus is applied. Single Trial Event-Related Potential (ERP) is commonly used to quantify effect of cognitive activity tied with time to EEG signal. The application of wavelet denoising in single trial ERP is used to analyze capability level from people who have perfect pitch ability based on P3 and N1 parameters. On experiments, EEG measurement was taken on Cz, T3, T4 point. EEG signal was recorded when subject heard pure tones with right pitch, with 10 cent shift, and 25 cent shift. From single trial processing of latency test we obtain that perfect pitch subject gave faster response on P3 component with 25 cent shift than non perfect pitch subject. Weak correlation was also found between P3 component on Cz measurement point and N1 component on T3 and T4 measurement point. From all three measurement points Cz measurement point gave the best consistency","PeriodicalId":132474,"journal":{"name":"2011 2nd International Conference on Instrumentation Control and Automation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132192429","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

An adaptive neuro fuzzy controller for cement kiln 水泥窑自适应神经模糊控制器

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-01 DOI: 10.1109/ICA.2011.6130131

M. G. Sharabiany, A. Fatehi, Babak Nadjar Araabi

引用次数: 3

Practical and advanced image processing for security and recognition by thermal distributed image features 实用和先进的图像处理安全和识别的热分布图像特征

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-01 DOI: 10.1109/ICA.2011.6130114

O. Ono

{"title":"Practical and advanced image processing for security and recognition by thermal distributed image features","authors":"O. Ono","doi":"10.1109/ICA.2011.6130114","DOIUrl":"https://doi.org/10.1109/ICA.2011.6130114","url":null,"abstract":"This paper presents the research on a practical and advanced image processing for intelligent human recognition and security system by using features of thermal images to enhance safety of vulnerable pedestrian. In this system, unique characteristics of thermal images were employed to detect the pedestrian along the roadway in varied conditions. Newly distribution of temperature regions, where correlation of the center point and the center of gravity point, or the centroid of these regions were calculated subsequently in order to extract pedestrian thermal regions in images. The processes were conducted following threshold method and noise filtering of initial image. The 3-valued threshold and labeling process were applied to the initial image to divide thermal area into four main temperature regions. The experiments were conducted under four conditions; numerous pedestrian, single pedestrian and oncoming car, overlapping pedestrian and occluded pedestrian. The subjects were classified by calculating pixel ratio of thermal regions, average luminance within divided temperature regions, and correlation among the centroid of each thermal region. Results of the experiments are encouraging. In particular, the proposed intelligent recognition system utilizes feasible and low-cost approach, compared to prior works.","PeriodicalId":132474,"journal":{"name":"2011 2nd International Conference on Instrumentation Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115778245","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

Active damping of smart piezoelectric plates using variational approach 基于变分方法的智能压电板主动阻尼研究

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-01 DOI: 10.1109/ICA.2011.6130124

I. Sadek, I. Kucuk

引用次数: 1

Design of a novel fuzzy adaptive PI controller for monitor hydraulic AGC system of cold rolling mill 冷轧机液压AGC系统的模糊自适应PI控制器设计

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-01 DOI: 10.1109/ICA.2011.6130129

S. Khosravi, A. Afshar, F. Barazandeh

{"title":"Design of a novel fuzzy adaptive PI controller for monitor hydraulic AGC system of cold rolling mill","authors":"S. Khosravi, A. Afshar, F. Barazandeh","doi":"10.1109/ICA.2011.6130129","DOIUrl":"https://doi.org/10.1109/ICA.2011.6130129","url":null,"abstract":"In every rolling process, the automatic gauge control (AGC) system is the core of the control unit. Traditionally, PI controllers are used in these systems to achieve the desired strip thickness. The major problem of this controller is its high sensitivity to parameters variations and external disturbances. This is due to the complex structure and highly nonlinear dynamic model of these systems. In this paper a novel fuzzy adaptive PI controller is proposed, as a remedy to this problem. This controller is designed on the basis of professional knowledge to tune PI parameters in proportion to thickness error, thickness error change rate, and desired exit thickness. A dynamic mathematical model of the system is derived whose accuracy is confirmed through practical tests and then the performance of the proposed controller for a real cold mill is evaluated by model-based simulation. The influences of parameters perturbation is taken into account. Simulation results show that the response speed and robustness of the fuzzy adaptive PI controller are much better than the traditional PI scheme.","PeriodicalId":132474,"journal":{"name":"2011 2nd International Conference on Instrumentation Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129897563","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: 8

Disturbance reduction on the small satellite actuator 小卫星执行器的扰动减小

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-01 DOI: 10.1109/ICA.2011.6130125

Dong-Ik Cheon, Daegyun Choi, Eun-Jeong Jang, H. Oh

引用次数: 6

Implementation of secure speaker verification at web login page using Mel Frequency Cepstral Coefficient-Gaussian Mixture Model (MFCC-GMM) 使用Mel倒频谱系数-高斯混合模型(MFCC-GMM)实现web登录页面的安全说话人验证

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-01 DOI: 10.1109/ICA.2011.6130187

B. Putra, S. Suyanto

{"title":"Implementation of secure speaker verification at web login page using Mel Frequency Cepstral Coefficient-Gaussian Mixture Model (MFCC-GMM)","authors":"B. Putra, S. Suyanto","doi":"10.1109/ICA.2011.6130187","DOIUrl":"https://doi.org/10.1109/ICA.2011.6130187","url":null,"abstract":"The need of security for web page was increased as the development of online activity especially trading or banking. Speaker recognition can be used to secure the web page which need high security level. In this research, the speaker recognition system at web page was successfully built for login authentication security. For enrollment and verification need, speech signal from clients was recorded in 35 seconds for enrollment and 10 seconds for verification then transferred to server by network. Then this signal will be processed with Sampling, Frame Blocking, Windowing Hamming and Discrete Fourier Transform. The signal in frequency domain will be filtered by Nonlinear Power Spectral Subtraction to reduce background noise. For identification, the system extracts the feature of Mel Frequency Cepstral Coefficient (MFCC), and to build the model of these features uses Gaussian Mixture Model (GMM). To improve the security level, the system uses Secure Socket Layer (SSL) with 1024 bits RSA encryption. From this research, we have succeeded in optimizing the signal quality up to 5 dB SNR, the mean error recognition level of FAR is about 23.3% and FRR 27.5 and the maximum accuracy of recognition system is around 88% when the quality of speech signal is clean. The computation time for enrollment is about 552573,5 millisecond and for verification is about 129062,6 millisecond.","PeriodicalId":132474,"journal":{"name":"2011 2nd International Conference on Instrumentation Control and Automation","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123866508","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: 16

Discrete time riccati equations in open loop nash games for descriptor systems 广义系统开环nash对策中的离散时间riccati方程

2011 2nd International Conference on Instrumentation Control and Automation Pub Date : 2011-11-01 DOI: 10.1109/ICA.2011.6130163

Salmah

引用次数: 0