2009 6th International Symposium on Mechatronics and its Applications最新文献_第3页

Fuzzy motion-based control for a bi-steerable mobile robot navigation 基于模糊运动的双导向移动机器人导航控制

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164850

O. Azouaoui, N. Ouadah, I. Mansour, A. Semani

引用次数: 1

Design of augmented extended Kalman filter for real time simulation of mobile robots using Simulink® 基于Simulink的移动机器人实时仿真增强扩展卡尔曼滤波器设计

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164847

I. Hassanzadeh, M. Fallah

引用次数: 11

Face detection based on dimension reduction using probabilistic neural network and Genetic Algorithm 基于概率神经网络和遗传算法的降维人脸检测

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164777

Afsaneh Alavi Naini, F. Seiti, M. Teshnelab, M. A. Shoorehdeli

{"title":"Face detection based on dimension reduction using probabilistic neural network and Genetic Algorithm","authors":"Afsaneh Alavi Naini, F. Seiti, M. Teshnelab, M. A. Shoorehdeli","doi":"10.1109/ISMA.2009.5164777","DOIUrl":"https://doi.org/10.1109/ISMA.2009.5164777","url":null,"abstract":"Past work on face detection has emphasized the issues of feature extraction and classification, however, less attention has been given on the critical issue of feature selection. We consider the problem of face and non-face classification from frontal facial images using feature selection and neural networks. We argue that feature selection is an important issue in face and non-face classification. Automatic feature subset selection distinguishes the proposed method from previous face classification approaches. First, Principal Component Analysis (PCA) is used to represent each image as a feature vector (i.e., eigen-features) in a low-dimensional space, spanned by the eigenvectors of the covariance matrix of the training images (i.e., coefficients of the linear expansion).Then we consider Linear Discrimination Analysis (LDA) to achieve a comparison result between these two methods of dimension reduction. Genetic Algorithm (GA) is then used to select a subset of features from the low-dimensional representation by removing certain eigenvectors that do not seem to encode important information about face. Finally, a Probabilistic Neural Network (PNN) is trained to perform face classification using the selected eigen-feature subset. Experimental results demonstrate a significant improvement in error rate reduction.","PeriodicalId":122255,"journal":{"name":"2009 6th International Symposium on Mechatronics and its Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125432320","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

Kinematics and workspace analysis of 3 DOF compliant micro parallel robots 三自由度柔性微型并联机器人运动学与工作空间分析

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164832

S. Stan, M. Manic, R. Balan, V. Maties

引用次数: 2

Optimized and iterative Wiener filter for image restoration 优化和迭代维纳滤波器的图像恢复

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164791

Abdul Majeed A. Mahmood

引用次数: 4

Improving face recognition using combination of global and local features 结合全局特征和局部特征改进人脸识别

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164824

A. Nor'aini, P. Raveendran

引用次数: 10

Artificial intelligence based tuning of SVC controller for co-generated power system 基于人工智能的热电系统SVC控制器整定

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164830

N. Najibi

{"title":"Artificial intelligence based tuning of SVC controller for co-generated power system","authors":"N. Najibi","doi":"10.1109/ISMA.2009.5164830","DOIUrl":"https://doi.org/10.1109/ISMA.2009.5164830","url":null,"abstract":"The gain of SVC depends upon the type of reactive power load for optimum performance. As the load and input wind power conditions are variable, the gain setting of SVC needs to be adjusted or tuned. In this paper, an ANN based approach has been used to tune the gain parameters of the SVC controller over a wide range of load characteristics. The multi-layer feed-forward ANN tool with the error back-propagation training method is employed. Loads have been taken as the function of voltage. Analytical techniques have mostly been based on impedance load reduced network models, which suffer from several disadvantages, including inadequate load representation and lack of structural integrity. The ability of ANNs to spontaneously learn from examples, reason over inexact and fuzzy data and provide adequate and quick responses to new information not previously stored in memory has generated high performance dynamical system with unprecedented robustness. ANNs models have been developed for different hybrid power system configurations for tuning the proportional-integral controller for SVC. Transient responses of different autonomous configurations show that SVC controller with its gained tuned by the ANNs provide optimum system performance for a variety of loads.","PeriodicalId":122255,"journal":{"name":"2009 6th International Symposium on Mechatronics and its Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125919336","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

Control strategy based on Hardware-in-the-Loop for 3-phase induction motors 基于硬件在环的三相异步电动机控制策略

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164789

A. Saleem, T. Tutunji, R. Issa

引用次数: 1

Intelligent control of overhead gantry cranes 高架龙门起重机的智能控制

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164779

A. Yesildirek

{"title":"Intelligent control of overhead gantry cranes","authors":"A. Yesildirek","doi":"10.1109/ISMA.2009.5164779","DOIUrl":"https://doi.org/10.1109/ISMA.2009.5164779","url":null,"abstract":"Overhead gantry crane systems have been integral part of many heavy industrial applications needing material handling and transportation. This can easily be seen in emerging countries growing rapidly. Single force control input applied to crane moves it to a desired position but also triggers undesired swing on the payload which makes it an interesting control problem for this underactuated system. Given an application and a work environment constraint the response time to the position error vs. the maximum allowable amplitude of the payload swing may vary. An intelligent control methodology has been given such an overhead crane system with an optimization parameter compromising between response rate and swing amplitude. The proposed controller does not rely on the knowledge of the crane dynamics making the solution applicable changing operation conditions, so it is a universal controller. Robust adaptive properties are established via a neural network based multi-loop controller architecture. Customization to fit two specific application requirements has been illustrated in the simulations. Stability proofs are given in the sense of Lyapunov. Simulation examples are shown to illustrate the effectiveness of the proposed controller that does not rely on prior knowledge of system dynamics.","PeriodicalId":122255,"journal":{"name":"2009 6th International Symposium on Mechatronics and its Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123566111","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

Signature verification system using Support Vector Machine 签名验证系统采用支持向量机

2009 6th International Symposium on Mechatronics and its Applications Pub Date : 2009-03-23 DOI: 10.1109/ISMA.2009.5164825

S. Fauziyah, O. Azlina, B. Mardiana, A.M. Zahariah, H. Haroon

引用次数: 20