Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069204
W. Ahmad, W. Ahmad, M. Htut
Point-to-Point (PTP) motion control systems play an important role in industrial engineering applications such as advanced manufacturing systems, semiconductor manufacturing systems and robot systems. Until know, PID(proportional-integral-derivative) controllers are still the most popular controller used in industrial control systems including PTP motion control systems due to their simplicity and also satisfactory performances. However, since the PID controller is developed based on the linear control theory, the controller gives inconsistent performance for different condition due to system nonlinearities. In order to overcome this problem, Neural-tuned PID control using model reference adaptive control (MRAC) is proposed. By using EMRAN (Extended Minimal Resource Allocation Algorithm) to train the Radial Basis Funciton (RBF) Network, the PID controller can learn, adapt and change its parameters based on the condition of the controlled-objectin real-time. The effectiveness of the proposed method is evaluated experimentally in real time using an experimental rotary positioning system. The experimental results show that the proposed system is better than classical PID controller in terms of not only positioning performance but also robustness to inertia variations.
{"title":"Neural-tuned PID controller for Point-to-point (PTP) positioning system: Model reference approach","authors":"W. Ahmad, W. Ahmad, M. Htut","doi":"10.1109/CSPA.2009.5069204","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069204","url":null,"abstract":"Point-to-Point (PTP) motion control systems play an important role in industrial engineering applications such as advanced manufacturing systems, semiconductor manufacturing systems and robot systems. Until know, PID(proportional-integral-derivative) controllers are still the most popular controller used in industrial control systems including PTP motion control systems due to their simplicity and also satisfactory performances. However, since the PID controller is developed based on the linear control theory, the controller gives inconsistent performance for different condition due to system nonlinearities. In order to overcome this problem, Neural-tuned PID control using model reference adaptive control (MRAC) is proposed. By using EMRAN (Extended Minimal Resource Allocation Algorithm) to train the Radial Basis Funciton (RBF) Network, the PID controller can learn, adapt and change its parameters based on the condition of the controlled-objectin real-time. The effectiveness of the proposed method is evaluated experimentally in real time using an experimental rotary positioning system. The experimental results show that the proposed system is better than classical PID controller in terms of not only positioning performance but also robustness to inertia variations.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"3 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":"115320150","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}
Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069256
R. Adnan, A. Samad, N. Tahir, M. Rahiman, M. Mustafa
This paper presents the studies on trajectory zero phase error tracking control without factorisation of zeros polynomial where the controller parameters are determined using comparing coefficients methods. The controller was applied to two types of third-order non-minimum phase plant. The first plant was having a zero outside and far from the unity circle. Another plant was having a zero outside and near to the unity circle. Simulation and experimental results will be presented to discuss its tracking performance.
{"title":"Trajectory zero phase error tracking control using comparing coefficients method","authors":"R. Adnan, A. Samad, N. Tahir, M. Rahiman, M. Mustafa","doi":"10.1109/CSPA.2009.5069256","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069256","url":null,"abstract":"This paper presents the studies on trajectory zero phase error tracking control without factorisation of zeros polynomial where the controller parameters are determined using comparing coefficients methods. The controller was applied to two types of third-order non-minimum phase plant. The first plant was having a zero outside and far from the unity circle. Another plant was having a zero outside and near to the unity circle. Simulation and experimental results will be presented to discuss its tracking performance.","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":"124402763","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}
Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069230
Chen Liu, T. Zhang, Xin Jin, S. Goto
This paper presents a high efficiency method to decide the inter mode of the H.264/AVC encoder. Although rate-distortion optimization (RDO) improving the video quality in video compression largely, its high computational complexity brings huge time cost. The key idea of this paper is to reduce the candidate modes by the underlying relation between motions and macroblock partition types. Thus, a motion vector related evaluation approach with adaptive multilevel thresholds has been proposed together with SKIP mode early determination strategy. The simulation results show that the proposed method achieves 33.4% time reduction in average with about 0.06db PSNR loss and 1.45% bit-rate increase.
{"title":"An inter mode decision method with motion correlation adaptation for H.264/AVC","authors":"Chen Liu, T. Zhang, Xin Jin, S. Goto","doi":"10.1109/CSPA.2009.5069230","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069230","url":null,"abstract":"This paper presents a high efficiency method to decide the inter mode of the H.264/AVC encoder. Although rate-distortion optimization (RDO) improving the video quality in video compression largely, its high computational complexity brings huge time cost. The key idea of this paper is to reduce the candidate modes by the underlying relation between motions and macroblock partition types. Thus, a motion vector related evaluation approach with adaptive multilevel thresholds has been proposed together with SKIP mode early determination strategy. The simulation results show that the proposed method achieves 33.4% time reduction in average with about 0.06db PSNR loss and 1.45% bit-rate increase.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"7 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":"115352294","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}
Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069253
A. Mahbob, M. Kamal, Faieza Hanum Yahaya
This paper describes the use of fuzzy logic to control the temperature of water. As temperature is concerned, a lot of systems such as electronic, mechanical and biological are effected by temperature. This project concentrate on the software development done in the Fuzzy Tech Precompiler. In this process, temperature and level sensor is used as the input to the system. The signals for both of this inputs are taken from the level sensor and the temperature sensor respectively. The output of this controller is the heater, where it will heat the water to the desired temperature. There are two heaters that will be used in this system to support the various conditions. The software that is used, is the Fuzzy Tech Pre-compiler, where the If-Then rules and the membership function are designed.
{"title":"Water temperature using fuzzy logic","authors":"A. Mahbob, M. Kamal, Faieza Hanum Yahaya","doi":"10.1109/CSPA.2009.5069253","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069253","url":null,"abstract":"This paper describes the use of fuzzy logic to control the temperature of water. As temperature is concerned, a lot of systems such as electronic, mechanical and biological are effected by temperature. This project concentrate on the software development done in the Fuzzy Tech Precompiler. In this process, temperature and level sensor is used as the input to the system. The signals for both of this inputs are taken from the level sensor and the temperature sensor respectively. The output of this controller is the heater, where it will heat the water to the desired temperature. There are two heaters that will be used in this system to support the various conditions. The software that is used, is the Fuzzy Tech Pre-compiler, where the If-Then rules and the membership function are designed.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"165 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":"122991696","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}
Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069246
A. Alias, M. Taib, W. Wui, N. Anuar, N. Tahir
The aim of this study is to investigate Artificial Neural Network (ANN) for prediction of drug contents. Hydroxypropylmethylcellulose and loratadine specifically were selected as model matrix polymer and drug. All 0, 5, 10, 20 and 40 mg drug loaded in hydroxypropylmethylcellulose films were conditioned at the relative humidity of 25, 50 and 75% each prior to psysicochemical characterization using microwave non-destructive testing (NDT) technique. Forward reflection coefficient magnitude S11 produced by microwave NDT technique along with the relative humidity were utilized as inputs to the ANN model with the value of drug contents as output. Initial results showed that an accuracy of 86% is achieved using ANN for prediction of drug contents.
{"title":"Predicting drug contents of hydroxypropylmethylcellulose films using Artificial Neural Network","authors":"A. Alias, M. Taib, W. Wui, N. Anuar, N. Tahir","doi":"10.1109/CSPA.2009.5069246","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069246","url":null,"abstract":"The aim of this study is to investigate Artificial Neural Network (ANN) for prediction of drug contents. Hydroxypropylmethylcellulose and loratadine specifically were selected as model matrix polymer and drug. All 0, 5, 10, 20 and 40 mg drug loaded in hydroxypropylmethylcellulose films were conditioned at the relative humidity of 25, 50 and 75% each prior to psysicochemical characterization using microwave non-destructive testing (NDT) technique. Forward reflection coefficient magnitude S11 produced by microwave NDT technique along with the relative humidity were utilized as inputs to the ANN model with the value of drug contents as output. Initial results showed that an accuracy of 86% is achieved using ANN for prediction of drug contents.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"355 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":"122997641","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}
Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069210
Aravind, Rajparthiban, Tiffany
The primary goal of this research and development project is to develop a pick and place robot for material handling systems. Possessing two degrees of freedom, this semi-automatic pick and place robot integrates object detection with the pick and place process whereby the detection of an object would power the object gripper; kick starting the pick and place process. With the objective of creating a user friendly and affordable system, the developed model high significantly demonstrates the use of technology in material handling systems.
{"title":"Development of semi-automatic pick and place robot for material handling systems","authors":"Aravind, Rajparthiban, Tiffany","doi":"10.1109/CSPA.2009.5069210","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069210","url":null,"abstract":"The primary goal of this research and development project is to develop a pick and place robot for material handling systems. Possessing two degrees of freedom, this semi-automatic pick and place robot integrates object detection with the pick and place process whereby the detection of an object would power the object gripper; kick starting the pick and place process. With the objective of creating a user friendly and affordable system, the developed model high significantly demonstrates the use of technology in material handling systems.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"17 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":"121874504","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}
Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069238
N. Ismail, Nazurah Tajjudin, M. Rahiman, M. Taib
This paper presents a model of dynamic response of essential oil extraction process using system identification approach. A collection of samples was collected from a pilot plant of essential oil extraction process using steam distillation technique. Input signal for the process is pseudo-random binary sequence (PRBS) and the output is temperature. The sample was separated into training and testing data by using interlacing technique. Based on Auto Regressive Exogenous Input (ARX) model validation, the results showed that partial data will produce adequate model to describe the full dynamic of essential oil extraction process.
{"title":"Modeling of dynamic response of essential oil extraction process","authors":"N. Ismail, Nazurah Tajjudin, M. Rahiman, M. Taib","doi":"10.1109/CSPA.2009.5069238","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069238","url":null,"abstract":"This paper presents a model of dynamic response of essential oil extraction process using system identification approach. A collection of samples was collected from a pilot plant of essential oil extraction process using steam distillation technique. Input signal for the process is pseudo-random binary sequence (PRBS) and the output is temperature. The sample was separated into training and testing data by using interlacing technique. Based on Auto Regressive Exogenous Input (ARX) model validation, the results showed that partial data will produce adequate model to describe the full dynamic of essential oil extraction process.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"29 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":"116738300","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}
Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069206
A. Sulong, Wahyudi, M. U. Siddiqi
Security of an information system depends to a large extent on its ability to authenticate legitimate users as well as to withstand attacks of various kinds. Confidence in its ability to provide adequate authentication is, however, waning. This is largely due to the wrongful use of passwords by many users. In this paper, the design and development of keystroke pressure-based typing biometrics for individual user's verification which based on the analysis of habitual typing of individuals is discussed. The combination of maximum pressure exerted on the keyboard and time latency between keystrokes is used as features to create typing patterns for individual users so as to recognize authentic users and to reject impostors. Radial basis function network (RBFN), which is one of the artificial neural network, is used as a pattern matching method. The effectiveness of the proposed system is evaluated based upon False Reject Rate (FRR) and False Accept Rate (FAR). A series of experiment shows that the proposed system is effective for biometric-based security system.
{"title":"Intelligent keystroke pressure-based typing biometrics authentication system using radial basis function network","authors":"A. Sulong, Wahyudi, M. U. Siddiqi","doi":"10.1109/CSPA.2009.5069206","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069206","url":null,"abstract":"Security of an information system depends to a large extent on its ability to authenticate legitimate users as well as to withstand attacks of various kinds. Confidence in its ability to provide adequate authentication is, however, waning. This is largely due to the wrongful use of passwords by many users. In this paper, the design and development of keystroke pressure-based typing biometrics for individual user's verification which based on the analysis of habitual typing of individuals is discussed. The combination of maximum pressure exerted on the keyboard and time latency between keystrokes is used as features to create typing patterns for individual users so as to recognize authentic users and to reject impostors. Radial basis function network (RBFN), which is one of the artificial neural network, is used as a pattern matching method. The effectiveness of the proposed system is evaluated based upon False Reject Rate (FRR) and False Accept Rate (FAR). A series of experiment shows that the proposed system is effective for biometric-based security system.","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":"129760082","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}
Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069267
Masmaria Abdul Majid, Z. Janin, Abdul Hapiz Mohd Taib, M. Taib
The main objective of this study is to determine the optimum tuning of temperature process control for overdamped process response. The Ziegler Nichols tuning was used to determine the optimum setting of temperature process control in 30°C – 50°C by varying the PB and I term. The performance of the response is evaluated based on integral absolute error (IAE), settling time (Ts), and rise time (Tr), first overshoot and undershoot.
{"title":"Temperature control tuning for overdamped process response","authors":"Masmaria Abdul Majid, Z. Janin, Abdul Hapiz Mohd Taib, M. Taib","doi":"10.1109/CSPA.2009.5069267","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069267","url":null,"abstract":"The main objective of this study is to determine the optimum tuning of temperature process control for overdamped process response. The Ziegler Nichols tuning was used to determine the optimum setting of temperature process control in 30°C – 50°C by varying the PB and I term. The performance of the response is evaluated based on integral absolute error (IAE), settling time (Ts), and rise time (Tr), first overshoot and undershoot.","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":"128383099","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}
Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069261
Nurqamarina Binti Mohd Noor, Yusrina Yusof, A. Saparon
As the memory enters submicron technology, new test algorithm that will be able to give a better fault coverage such as to detect all intra-word coupling fault (CF) has been widely developed. In order to implement this algorithm to the memory, test technique such as BIST is utilized. Common types of memory built-in-self test (MBIST); microcode-based MBIST and FSM-based MBIST. The popular approach of designing various kind of MBIST architectures are either by targeting to reach specific testing requirement such as on full speed and at speed or by considering the cost-constraint and area overhead such low-cost or low-area design. In this paper, FSM-based BIST is designed to be able detecting all intra-word coupling fault (CF) in a synchronous SRAM under low- area constraint of test requirement.
{"title":"Low area FSM-based memory BIST for synchronous SRAM","authors":"Nurqamarina Binti Mohd Noor, Yusrina Yusof, A. Saparon","doi":"10.1109/CSPA.2009.5069261","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069261","url":null,"abstract":"As the memory enters submicron technology, new test algorithm that will be able to give a better fault coverage such as to detect all intra-word coupling fault (CF) has been widely developed. In order to implement this algorithm to the memory, test technique such as BIST is utilized. Common types of memory built-in-self test (MBIST); microcode-based MBIST and FSM-based MBIST. The popular approach of designing various kind of MBIST architectures are either by targeting to reach specific testing requirement such as on full speed and at speed or by considering the cost-constraint and area overhead such low-cost or low-area design. In this paper, FSM-based BIST is designed to be able detecting all intra-word coupling fault (CF) in a synchronous SRAM under low- area constraint of test requirement.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"21 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":"128567789","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：