Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069190
M. I. Solihin, W. Akmeliawati, Rini Akmeliawati
The main objective of this paper is to design a state feedback controller for stabilizing and tracking control of self-erecting inverted pendulum employing intelligent method using particle swarm optimization (PSO). This is motivated by the fact that one has to face trial and error approach in conventional feedback control design by pole placement method or linear quadratic regulator (LQR) method via Riccati equation. The simulation results show the effectiveness of the proposed method. The proposed state feedback controller works jointly with swing-up controller in the self-erecting inverted pendulum system.
{"title":"Self-erecting inverted pendulum employing PSO for stabilizing and tracking controller","authors":"M. I. Solihin, W. Akmeliawati, Rini Akmeliawati","doi":"10.1109/CSPA.2009.5069190","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069190","url":null,"abstract":"The main objective of this paper is to design a state feedback controller for stabilizing and tracking control of self-erecting inverted pendulum employing intelligent method using particle swarm optimization (PSO). This is motivated by the fact that one has to face trial and error approach in conventional feedback control design by pole placement method or linear quadratic regulator (LQR) method via Riccati equation. The simulation results show the effectiveness of the proposed method. The proposed state feedback controller works jointly with swing-up controller in the self-erecting inverted pendulum system.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"393 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":"116127744","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.2009.5069224
W. M. K. Wan Mohd Khairosfaizal, A. Nor'aini
This paper presents an eye detection approach using Circular Hough transform. Assuming the face region has already been detected by any of the accurate existing face detection methods, the search of eye pair relies primarily on the circular shape of the eye in two-dimensional image. The eyes detection process includes preprocessing that filtered and cropped the face images and Circular Hough Transform is used to detect the circular shape of the eye and to mark the eye pair on the image precisely. This eyes detection method was tested on Face DB database developed by Park Lab, University of Illinois at Urbana Champaign USA. Most of the faces are frontal with open eyes and some are tilted upwards or downwards. The detection accuracy of the proposed method is about 86%.
{"title":"Eyes detection in facial images using Circular Hough Transform","authors":"W. M. K. Wan Mohd Khairosfaizal, A. Nor'aini","doi":"10.1109/CSPA.2009.5069224","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069224","url":null,"abstract":"This paper presents an eye detection approach using Circular Hough transform. Assuming the face region has already been detected by any of the accurate existing face detection methods, the search of eye pair relies primarily on the circular shape of the eye in two-dimensional image. The eyes detection process includes preprocessing that filtered and cropped the face images and Circular Hough Transform is used to detect the circular shape of the eye and to mark the eye pair on the image precisely. This eyes detection method was tested on Face DB database developed by Park Lab, University of Illinois at Urbana Champaign USA. Most of the faces are frontal with open eyes and some are tilted upwards or downwards. The detection accuracy of the proposed method is about 86%.","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":"125425924","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.2009.5069265
Puteri Nurparina Bahrun, M. Taib
Stock market prediction is one of the fascinating issues of stock market research. Accurate stock prediction becomes the biggest challenge in investment industry because the distribution of stock data is changing over the time. In this study, the feedforward backpropagation neural network with Levenberg-Marquardt training algorithm is used. Selected Malaysian stocks, namely Maybank and Tenaga, were modeled and simulated for trading using four trading strategies. The results show that ANN provide a highly accurate model for the stocks also realises profitable systems using all four trading strategies.
{"title":"Selected Malaysia stock predictions using artificial neural network","authors":"Puteri Nurparina Bahrun, M. Taib","doi":"10.1109/CSPA.2009.5069265","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069265","url":null,"abstract":"Stock market prediction is one of the fascinating issues of stock market research. Accurate stock prediction becomes the biggest challenge in investment industry because the distribution of stock data is changing over the time. In this study, the feedforward backpropagation neural network with Levenberg-Marquardt training algorithm is used. Selected Malaysian stocks, namely Maybank and Tenaga, were modeled and simulated for trading using four trading strategies. The results show that ANN provide a highly accurate model for the stocks also realises profitable systems using all four trading strategies.","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":"129769587","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.2009.5069222
Xiao Peng, Satoshi Goto
In this paper, we investigate the low density parity-check (LDPC) decoding algorithms and the detection methods of the multiple-input multiple-output (MIMO) systems. For LDPC codes, min-sum and layered decoding algorithms are discussed, and for MIMO detection, the maximum likelihood (ML) decision based on the sphere decoding algorithm is mainly analyzed. Also, the performance of the combination of the channel coding and space time coding is presented, which use the preceding methods respectively. In this LDPC coded system, the log-likelihood ratio (LLR) is propagated from LDPC decoder to the MIMO detector and then fed back, which would increase the decoding efficiency.
{"title":"Performance analysis of sphere detection combined with the LDPC decoding","authors":"Xiao Peng, Satoshi Goto","doi":"10.1109/CSPA.2009.5069222","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069222","url":null,"abstract":"In this paper, we investigate the low density parity-check (LDPC) decoding algorithms and the detection methods of the multiple-input multiple-output (MIMO) systems. For LDPC codes, min-sum and layered decoding algorithms are discussed, and for MIMO detection, the maximum likelihood (ML) decision based on the sphere decoding algorithm is mainly analyzed. Also, the performance of the combination of the channel coding and space time coding is presented, which use the preceding methods respectively. In this LDPC coded system, the log-likelihood ratio (LLR) is propagated from LDPC decoder to the MIMO detector and then fed back, which would increase the decoding efficiency.","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":"128950297","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.2009.5069262
M. Ali, R. Adnan, N. Tahir, Mohd Hezri Fazalul Rahman, Z. Yahya, A. Samad
This study is about automated of Digital Elevation Model (DEM) construction using Arc Macro Language (AML). Generating Digital Elevation Model (DEM) from Geographic Information System (GIS) module is quite complicated as well as in ARC/INFO Workstation. It required data conversion and some other process that give user adversity which need to study the steps in sequence and orderly. To overcome the problem, we have to develop an automated technique in Geographic Information System (GIS) for generating DEM with simple steps. All procedures were developed with ARC/INFO Workstation, GIS software and fully automated in Arc Macro Language (AML).
{"title":"A feasibility study of automated Digital Elevation Model (DEM) construction using Arc Micro Language (AML)","authors":"M. Ali, R. Adnan, N. Tahir, Mohd Hezri Fazalul Rahman, Z. Yahya, A. Samad","doi":"10.1109/CSPA.2009.5069262","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069262","url":null,"abstract":"This study is about automated of Digital Elevation Model (DEM) construction using Arc Macro Language (AML). Generating Digital Elevation Model (DEM) from Geographic Information System (GIS) module is quite complicated as well as in ARC/INFO Workstation. It required data conversion and some other process that give user adversity which need to study the steps in sequence and orderly. To overcome the problem, we have to develop an automated technique in Geographic Information System (GIS) for generating DEM with simple steps. All procedures were developed with ARC/INFO Workstation, GIS software and fully automated in Arc Macro Language (AML).","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"13 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":"122795855","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.2009.5069211
M.H.A. Hamid, A. H. Adom, N. A. Rahim, M. Rahiman
Mobile robot has been a major role to the application in military, industrial and agricultural purposes. Mobile robot should navigate through desire route and avoid the obstacle within the path. Many researcher come with the solution by using the various type of control and instrumentation system. The complexity of mobile robot system can make the system cost intensive and high risk. Proposed is a mobile robot equipped with GPS navigation system and obstacle avoidance system with low cost mobile structure, GPS module and sonar sensor. The combination GPS and Sonar will determine the position and obstacle avoidance for the mobile robot. Mobile robot should navigate according to waypoint that preset to the GPS module and sonar sensor detects the obstacle during mobile robot navigation by triggering the sonar sensor in sequence by using commanded loop daisy chaining application method. Mobile Robot can navigate through desired waypoint and at the same time apply the obstacle avoidance rules
{"title":"Navigation of mobile robot using Global Positioning System (GPS) and obstacle avoidance system with commanded loop daisy chaining application method","authors":"M.H.A. Hamid, A. H. Adom, N. A. Rahim, M. Rahiman","doi":"10.1109/CSPA.2009.5069211","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069211","url":null,"abstract":"Mobile robot has been a major role to the application in military, industrial and agricultural purposes. Mobile robot should navigate through desire route and avoid the obstacle within the path. Many researcher come with the solution by using the various type of control and instrumentation system. The complexity of mobile robot system can make the system cost intensive and high risk. Proposed is a mobile robot equipped with GPS navigation system and obstacle avoidance system with low cost mobile structure, GPS module and sonar sensor. The combination GPS and Sonar will determine the position and obstacle avoidance for the mobile robot. Mobile robot should navigate according to waypoint that preset to the GPS module and sonar sensor detects the obstacle during mobile robot navigation by triggering the sonar sensor in sequence by using commanded loop daisy chaining application method. Mobile Robot can navigate through desired waypoint and at the same time apply the obstacle avoidance rules","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":"131291031","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.2009.5069188
C. Hema, S. Fung, P. T. Shi
Housekeeping robots are service robots specially designed to perform housekeeping tasks such as cleaning and vacuuming, our research focuses on the design of a housekeeping robot to pick up waste objects in a home or office environment. In this paper a hybrid sensor system for the house keeping robot is proposed using vision and ultrasonic sensors to navigate around obstacles and to pick up objects. To pickup objects, ascertaining the exact location of the object is of prime importance. This can be accomplished by computing the 3D coordinates of the object. The navigation task for robots involves the detection of obstacles or objects in the traversable path. Images of objects and obstacles are captured using vision sensors, segmented from background and processed to extract features which are fed to a neural network to recognize and differentiate between obstacles and objects. A recognition accuracy of 100% with an error tolerance of 0.001 is achieved. The centroid of the segmented object is computed to give the x, y and z coordinates of the object location.
{"title":"Designing a hybrid sensor system for a housekeeping robot","authors":"C. Hema, S. Fung, P. T. Shi","doi":"10.1109/CSPA.2009.5069188","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069188","url":null,"abstract":"Housekeeping robots are service robots specially designed to perform housekeeping tasks such as cleaning and vacuuming, our research focuses on the design of a housekeeping robot to pick up waste objects in a home or office environment. In this paper a hybrid sensor system for the house keeping robot is proposed using vision and ultrasonic sensors to navigate around obstacles and to pick up objects. To pickup objects, ascertaining the exact location of the object is of prime importance. This can be accomplished by computing the 3D coordinates of the object. The navigation task for robots involves the detection of obstacles or objects in the traversable path. Images of objects and obstacles are captured using vision sensors, segmented from background and processed to extract features which are fed to a neural network to recognize and differentiate between obstacles and objects. A recognition accuracy of 100% with an error tolerance of 0.001 is achieved. The centroid of the segmented object is computed to give the x, y and z coordinates of the object location.","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":"126731632","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.2009.5069231
Maryam Zomorrodi Moghaddam, A. Kardan
In system-level design, applications are presented as task graphs where tasks; i.e. nodes of the graph, have several implementation options differing in some criteria such as time, area and power. Systems designed with this approach are those that are application specific and for performance reasons are implemented in a hardware/software codesign manner. In this paper the most important design issues in these systems i.e. partitioning and scheduling are investigated. Our approach, namely CSPA, is a heuristic algorithm inspired by the biological immune system and attempts to obtain an optimal design for a given system composed of several hardware and software components. We use a graph representation of the system where nodes are operational components and edges are communication links between them. We propose an immune-based approach which based on artificial immune system and apply the clonal selection algorithm as one of the different types of algorithms inspired by biological systems. To date there is no work in this field that uses the clonal selection algorithm for optimization of partitioning. Empirical results show a suitable improvement by using this approach in comparison with traditional evolutionary algorithms and also traditional immune-based approach.
{"title":"Clonal selection algorithm for partitioning and scheduling of codesign systems","authors":"Maryam Zomorrodi Moghaddam, A. Kardan","doi":"10.1109/CSPA.2009.5069231","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069231","url":null,"abstract":"In system-level design, applications are presented as task graphs where tasks; i.e. nodes of the graph, have several implementation options differing in some criteria such as time, area and power. Systems designed with this approach are those that are application specific and for performance reasons are implemented in a hardware/software codesign manner. In this paper the most important design issues in these systems i.e. partitioning and scheduling are investigated. Our approach, namely CSPA, is a heuristic algorithm inspired by the biological immune system and attempts to obtain an optimal design for a given system composed of several hardware and software components. We use a graph representation of the system where nodes are operational components and edges are communication links between them. We propose an immune-based approach which based on artificial immune system and apply the clonal selection algorithm as one of the different types of algorithms inspired by biological systems. To date there is no work in this field that uses the clonal selection algorithm for optimization of partitioning. Empirical results show a suitable improvement by using this approach in comparison with traditional evolutionary algorithms and also traditional immune-based approach.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"117 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":"124404091","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.2009.5069228
K. Osman, M. F. Rahmat, Mohd Ashraf Ahmad
This paper presents the performance of different control approaches that consist of conventional, modern and intelligent controller that employed in a cruise control system. The cruise control system is one of the most enduringly popular and important laboratory models for teaching control system engineering. The system is widely used because it is very simple to understand and yet the control techniques cover many important classical and modern design methods. In this paper, the mathematical modelling for linear and nonlinear dynamic model of the cruise control system is obtained. PID, state space and artificial intelligence controller (fuzzy logic) are designed for linear model. Meanwhile, PID with feedforward controller is proposed for nonlinear model with disturbance effect. Feedforward-type PD controller is proposed in this study in order to eliminate the gravitational and wind disturbance effect. Simulation will be carried out using. Finally, a comparative assessment of the impact of each controller on the basis of results acquired.
{"title":"Modelling and controller design for a cruise control system","authors":"K. Osman, M. F. Rahmat, Mohd Ashraf Ahmad","doi":"10.1109/CSPA.2009.5069228","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069228","url":null,"abstract":"This paper presents the performance of different control approaches that consist of conventional, modern and intelligent controller that employed in a cruise control system. The cruise control system is one of the most enduringly popular and important laboratory models for teaching control system engineering. The system is widely used because it is very simple to understand and yet the control techniques cover many important classical and modern design methods. In this paper, the mathematical modelling for linear and nonlinear dynamic model of the cruise control system is obtained. PID, state space and artificial intelligence controller (fuzzy logic) are designed for linear model. Meanwhile, PID with feedforward controller is proposed for nonlinear model with disturbance effect. Feedforward-type PD controller is proposed in this study in order to eliminate the gravitational and wind disturbance effect. Simulation will be carried out using. Finally, a comparative assessment of the impact of each controller on the basis of results acquired.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"15 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":"123645657","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.2009.5069189
M. Paulraj, S. Yaacob, A. Nazri, Sathees Kumar
The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. Hence, it is necessary to develop an exclusive Speech to text translation system for understanding the English pronunciation as spoken by Malaysians. Speech translation is a process of both speech recognition and equivalent phonemic to word translation. Speech recognition is a process of identifying phonemes from the speech segment. In this paper, the initial step for speech recognition by identifying the phoneme features is proposed. In order to classify the phoneme features, Mel-frequency cepstral coefficients (MFCC) are computed in this paper. A simple feed forward Neural Network (FFNN) trained by back propagation procedure is proposed for identifying the phonemes features. The extracted MFCC coefficients are used as input to a neural network classifier for associating it to one of the 11 classes.
{"title":"Classification of vowel sounds using MFCC and feed forward Neural Network","authors":"M. Paulraj, S. Yaacob, A. Nazri, Sathees Kumar","doi":"10.1109/CSPA.2009.5069189","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069189","url":null,"abstract":"The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. Hence, it is necessary to develop an exclusive Speech to text translation system for understanding the English pronunciation as spoken by Malaysians. Speech translation is a process of both speech recognition and equivalent phonemic to word translation. Speech recognition is a process of identifying phonemes from the speech segment. In this paper, the initial step for speech recognition by identifying the phoneme features is proposed. In order to classify the phoneme features, Mel-frequency cepstral coefficients (MFCC) are computed in this paper. A simple feed forward Neural Network (FFNN) trained by back propagation procedure is proposed for identifying the phonemes features. The extracted MFCC coefficients are used as input to a neural network classifier for associating it to one of the 11 classes.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"25 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":"129796220","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}
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