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2009 5th International Colloquium on Signal Processing & Its Applications最新文献

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Estimation of mobile robot orientation using neural networks 基于神经网络的移动机器人方向估计
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069185
M. Paulraj, R. Ahmad, C. Hema, F. Hashim
{"title":"Estimation of mobile robot orientation using neural networks","authors":"M. Paulraj, R. Ahmad, C. Hema, F. Hashim","doi":"10.1109/CSPA.2009.5069185","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069185","url":null,"abstract":"The computation of a mobile robot position and orientation is a common task in the area of computer vision and image processing. For a successful application, it is important that the position and orientation of a mobile robot must be determined properly. In this paper, a simple procedure for determining the orientation of the mobile robot using two cameras is presented. The two cameras are used to capture the images of a mobile robot at various orientations. Four simple neural network models are developed to associate the inputs and output (orientation). First and second neural network models are used to estimate the orientation of a mobile robot using only the features derived from the first and second camera. The third neural network model is used for estimating the orientation of a mobile robot using features derived from both the first and second camera. The fourth neural network model is used to estimate the orientation using features derived from the combined images. Simulation results show that the proposed algorithm can be used to estimate the orientation of the mobile robot accurately.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122298671","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
Housekeeping robot: From concept to design 家政机器人:从概念到设计
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069187
C. Hema, Lam Chee Kiang, Vivian Tang Sui Lot
{"title":"Housekeeping robot: From concept to design","authors":"C. Hema, Lam Chee Kiang, Vivian Tang Sui Lot","doi":"10.1109/CSPA.2009.5069187","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069187","url":null,"abstract":"Service robots are emerging from the laboratory as commercial products. Floor cleaning, material transporting in radioactive and other hostile environments and security robots are some of the facets of a service robot. This paper focuses on one such service robot for housekeeping purposes, the concept and a design aspect of the developed robot is presented. The design philosophy that emphasizes compromise and practicality in design is being explained. This philosophy is used in the design and integration of a housekeeping robot system and sensor systems to provide new functionality for the user. The robot navigation problem is solved through a hybrid sensor system. The developed robot system comprises of a mobile platform, hybrid sensor system and a gripper system. This paper also discusses the design concepts and realization of a housekeeping robot to perform picking and placing tasks.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114245966","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
Statistical time energy based damage detection in steel plates using artificial neural networks 基于统计时间能量的人工神经网络钢板损伤检测
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069182
M. Paulraj, M. Majid, S. Yaacob, M. Rahiman, R. Krishnan
{"title":"Statistical time energy based damage detection in steel plates using artificial neural networks","authors":"M. Paulraj, M. Majid, S. Yaacob, M. Rahiman, R. Krishnan","doi":"10.1109/CSPA.2009.5069182","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069182","url":null,"abstract":"In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a steel plate. The plate is excited by an impulse signal and made to vibrate; statistical features are then extracted from the vibration signals which are measured at different locations. These features are then used to develop a neural network model. A simple neural network model trained by back propagation algorithm is then developed based on the statistical time energy features to classify the damage location in a steel plate. The effectiveness of the system is validated through simulation.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127672818","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: 5
Online Signature Verification system 在线签名验证系统
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069177
A. Julita, S. Fauziyah, O. Azlina, B. Mardiana, H. Hazura, A.M. Zahariah
{"title":"Online Signature Verification system","authors":"A. Julita, S. Fauziyah, O. Azlina, B. Mardiana, H. Hazura, A.M. Zahariah","doi":"10.1109/CSPA.2009.5069177","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069177","url":null,"abstract":"Online Signature Verification is a process of verifying the writer's identity by using signature verification system. This system can be use as a security system such as verification for assessing entry application and password substitutions. Signature verification technology requires primarily a digitizing tablet and a special pen connected to the Universal Serial Bus Port (USB port) of a computer. An individual can sign on the digitizing tablet using the special pen regardless of his signature size and position. The signature is characterized as pen-strokes consisting x-y coordinates and the data will be stored in the signature database in the form of a txt.file. These characteristics uniquely identify a person and cannot be mimicked or stolen. In this project, the method of Support Vector Machine (SVM) is used to focuses in verifying the signature.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129295549","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: 14
Novel real-time rate control algorithm for constant quality H.264/AVC high vision codec H.264/AVC高清晰度编解码器的实时速率控制算法
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069243
Z. Min, X. Jin, S. Goto
{"title":"Novel real-time rate control algorithm for constant quality H.264/AVC high vision codec","authors":"Z. Min, X. Jin, S. Goto","doi":"10.1109/CSPA.2009.5069243","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069243","url":null,"abstract":"H.264/AVC is the lasted and most widely used video coding standard. For the various applications under some limit bandwidths, rate control has been a necessary and important part of it. In this paper, we propose a novel algorithm adopted constant quality real-time rate control for H.264/AVC high definition videos.Comparing with the off-line algorithms our proposal uses real-time one-pass method to reduce calculation time and complexity estimating parameters to allocate target bits more accurately. The predicted Mean Absolute Difference(MAD) is adjusted by distortion parameters after the normal MAD prediction model. This proposal also uses data of last several reference frames helping to form a complexity model and determines the target bits. The result shows this proposal can keep the fluctuation of video quality in low level while maintaining the SPNR of high definition videos.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127043753","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
NARMAX identification of DC motor model using repulsive particle swarm optimization 基于排斥粒子群优化的直流电机模型NARMAX辨识
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069176
E. Supeni, I. Yassin, A. Ahmad, F. Rahman
{"title":"NARMAX identification of DC motor model using repulsive particle swarm optimization","authors":"E. Supeni, I. Yassin, A. Ahmad, F. Rahman","doi":"10.1109/CSPA.2009.5069176","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069176","url":null,"abstract":"This paper explores the usage of repulsive particle swarm optimization (RPSO) to perform Non-linear Auto-Regressive with exogenous input (NARMAX) system identification of Direct Current (DC) motor. The NARMAX model was constructed using a recurrent Artificial Neural Network (ANN) model by Rahim and Taib and Yassin et al. The comparison result was made between RPSO method and inertia weight-based PSO method by Yassin et al. to train the NARMAX model. The result shows that RPSO yielded comparable performance to the inertia weight-based PSO method in determining NARMAX coefficients in the model.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126401667","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: 10
Mel-frequency cepstrum coefficient analysis of infant cry with hypothyroidism 甲状腺功能减退症患儿哭声的mel频倒谱系数分析
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069217
A. Zabidi, W. Mansor, L. Khuan, R. Sahak, F. Rahman
{"title":"Mel-frequency cepstrum coefficient analysis of infant cry with hypothyroidism","authors":"A. Zabidi, W. Mansor, L. Khuan, R. Sahak, F. Rahman","doi":"10.1109/CSPA.2009.5069217","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069217","url":null,"abstract":"This paper presents a new method for the analysis of newborn infant cry to detect hypothyroidism. Hypothyroidism is a condition caused by insufficient production of thyroid hormone by the thyroid gland. The proposed technique is robust as it automatically extracts and analyzes features of infant cry signal. In pre-processing of the signals, separation of voice or unvoiced sections is implemented with automatic segmentation that integrates zero rate crossing and short time energy methods. For feature extraction, the Mel frequency cepstrum coefficient analysis is used to extract main features from the infant cry signal. Then, similarities between the two types of signals and significant information are studied using the F-Ratio analysis. Results show that the F-Ratio analysis was able to discriminate between essential and non-essential features for classification.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121482496","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: 42
Introducing residual errors in accuracy assessment for remotely sensed change detection 引入残差在遥感变化检测精度评估中的应用
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069194
M. Z. Abiden, S. Z. Abidin
{"title":"Introducing residual errors in accuracy assessment for remotely sensed change detection","authors":"M. Z. Abiden, S. Z. Abidin","doi":"10.1109/CSPA.2009.5069194","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069194","url":null,"abstract":"Accuracy assessment for map comparison is commonly found in urban planning research, especially for detecting error in remotely sensed imagery data. It is to compare two sources of spatial information. In analyzing such information quantitatively, the two datasets are summarized in a confusion matrix, which is represented in a form of percentage of predicted value against its actual data (ground truth). The common acceptable percentage is eighty percent and above. In this paper, we present a new way of accuracy assessment by introducing an additional value called residual error (or predicted error). The residual error is the percentage of error exists when two sources of major errors called mis-classification and mis-location are integrated. Such residual error is incorporated into the assessment so that the results are more accurate and comprehensive. As a case study, we calculate the residual errors of five independent image classifications from six different datasets. Therefore, the accuracy assessment is performed with more details that include not only the confusion matrix, but also the residual errors. In this way, the results of the change detection process can help in doing further analysis for urban growth and land development, particularly for town area.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127648671","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
Using curvelet transform to detect breast cancer in digital mammogram 曲线变换在数字乳房x光检查中的应用
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069247
M. Eltoukhy, I. Faye, B. Samir
{"title":"Using curvelet transform to detect breast cancer in digital mammogram","authors":"M. Eltoukhy, I. Faye, B. Samir","doi":"10.1109/CSPA.2009.5069247","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069247","url":null,"abstract":"This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. The motivation of this approach is the desire of using the advantages of curvelet transform into mammogram analysis. Curvelet provide stable, efficient and near-optimal representation of otherwise smooth objects having discontinuities along smooth curves. Since medical images have several objects and curved shaped, it is expected that the curvelet transform would be better for classification of cancer classes in digital mammogram. To construct and evaluate a supervised classifier for this problem, by transforming the data of the images in curvelet basis and then using a special set of coefficients as the features tailored towards separating each of those classes. The experimental results indicate that using curvelet transform significantly improves the classification of cancer classes.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116919645","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: 27
Shape-based sorting of agricultural produce using support vector machines in a MATLAB / SIMULINK environment 在MATLAB / SIMULINK环境下使用支持向量机进行农产品形状分选
2009 5th International Colloquium on Signal Processing & Its Applications Pub Date : 2009-03-06 DOI: 10.1109/CSPA.2009.5069203
Min Min Kyaw, Syed Khaleel Ahmed, Z. Sharrif
{"title":"Shape-based sorting of agricultural produce using support vector machines in a MATLAB / SIMULINK environment","authors":"Min Min Kyaw, Syed Khaleel Ahmed, Z. Sharrif","doi":"10.1109/CSPA.2009.5069203","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069203","url":null,"abstract":"The ability to sort agricultural produce automatically is very important. This paper addresses one way to identify agricultural produce based on their shape. The techniques used are based on support vector machines. The images of the produce are loaded into MATLAB and the features extracted using image processing techniques based on edge detection. These features are then input to a classifier; i.e., a support vector machine, for identification. A regular digital camera is used for acquiring the image, and all manipulations are performed in a MATLAB / SIMULINK environment. The results obtained are an improvement over a previous technique.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128472036","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: 15
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