Pub Date : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670604
D. Selvaraj, R. Dhanasekaran
Magnetic resonance imaging (MRI) is an advanced medical imaging technique providing rich information about the human soft tissue anatomy. The goal of brain MRI segmentation is to accurately identify the principal tissue structures in these image volumes. There are many methods that exist to segment the brain. One of these, conventional methods that use pure image processing techniques are not preferred because they need human interaction for accurate and reliable segmentation. Unsupervised methods, on the other hand, do not require any human interference and can segment the brain with high precision. In the light to this fact, A novel approach is developed. Our approach is based on intensity based thresholding to get boundaries between cerebrospinal fluid (CSF), Gray Matter (GM), White Matter (WM) and others. After the brain extraction by mathematical morphology algorithm, we proceed to brain segmentation. The CSF is segmented by using orthogonal polynomial transform. Finally the gray matter and white matter regions in the MRI are segmented based up on the intensity values. Experimental results show that the proposed method achieves reasonable good segmentation.
{"title":"Novel approach for segmentation of brain magnetic resonance imaging using intensity based thresholding","authors":"D. Selvaraj, R. Dhanasekaran","doi":"10.1109/ICCCCT.2010.5670604","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670604","url":null,"abstract":"Magnetic resonance imaging (MRI) is an advanced medical imaging technique providing rich information about the human soft tissue anatomy. The goal of brain MRI segmentation is to accurately identify the principal tissue structures in these image volumes. There are many methods that exist to segment the brain. One of these, conventional methods that use pure image processing techniques are not preferred because they need human interaction for accurate and reliable segmentation. Unsupervised methods, on the other hand, do not require any human interference and can segment the brain with high precision. In the light to this fact, A novel approach is developed. Our approach is based on intensity based thresholding to get boundaries between cerebrospinal fluid (CSF), Gray Matter (GM), White Matter (WM) and others. After the brain extraction by mathematical morphology algorithm, we proceed to brain segmentation. The CSF is segmented by using orthogonal polynomial transform. Finally the gray matter and white matter regions in the MRI are segmented based up on the intensity values. Experimental results show that the proposed method achieves reasonable good segmentation.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116278043","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670572
S. Ravi, P. Balakrishnan
This paper develops a ANFIS controller design method for temperature control in plastic extrusion system. The plastic extrusion process control system uses first order transfer function. Plastic extrusion system is generally nonlinear and the temperature of the plastic extrusion system may vary over a wide range subjected to various disturbances. The plastic extrusion system compresses of couple effects, long delay time and large time constants. The system designed with three different control techniques to control temperature at different set point changes and as well as to control sudden input disturbances. To design a controller it must be first tuned to the system. The tuning synchronizes the controller to the controlled variable and make the process to work at its desired operating condition. The Software incorporates LabVIEW graphical programming language and Matlab toolbox to design temperature control in plastic extrusion system. In this research the control methods are simulated using simulink and results obtained through LabVIEW. Relatively ANFIS controller gives best performance than Fuzzy logic and PID controller. The results indicate that the proposed algorithm significantly improves the performance of the temperature control in plastic extrusion system.
{"title":"Modelling and control of an anfis temperature controller for plastic extrusion process","authors":"S. Ravi, P. Balakrishnan","doi":"10.1109/ICCCCT.2010.5670572","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670572","url":null,"abstract":"This paper develops a ANFIS controller design method for temperature control in plastic extrusion system. The plastic extrusion process control system uses first order transfer function. Plastic extrusion system is generally nonlinear and the temperature of the plastic extrusion system may vary over a wide range subjected to various disturbances. The plastic extrusion system compresses of couple effects, long delay time and large time constants. The system designed with three different control techniques to control temperature at different set point changes and as well as to control sudden input disturbances. To design a controller it must be first tuned to the system. The tuning synchronizes the controller to the controlled variable and make the process to work at its desired operating condition. The Software incorporates LabVIEW graphical programming language and Matlab toolbox to design temperature control in plastic extrusion system. In this research the control methods are simulated using simulink and results obtained through LabVIEW. Relatively ANFIS controller gives best performance than Fuzzy logic and PID controller. The results indicate that the proposed algorithm significantly improves the performance of the temperature control in plastic extrusion system.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125536937","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670579
S. Prabhakaran, S. Sharon Rosy, S. Shakena Grace
Bombs are detected by different machines and mediums but all works only under the presences of experts. They will analyze the presence and type of bombs. But this way of analyzing takes long time.
{"title":"Detecting and spotting bombs using wireless sensors and expert systems","authors":"S. Prabhakaran, S. Sharon Rosy, S. Shakena Grace","doi":"10.1109/ICCCCT.2010.5670579","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670579","url":null,"abstract":"Bombs are detected by different machines and mediums but all works only under the presences of experts. They will analyze the presence and type of bombs. But this way of analyzing takes long time.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"34 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116491818","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670541
C. John Moses, D. Selvathi, S. Sajitha Rani
Image registration is the process of overlaying two or more images of the same scene taken at different times, from different viewpoints, and/or by different sensors. It geometrically aligns two images - the reference and floating images. Medical image registration concentrates on aligning two or more images that represent the same anatomy from different angles and are obtained at different times. In recent efforts, image registration algorithms have been implemented in FPGA technology to improve performance while providing programmability and dynamic configurability. To transform points from one image to another, similarity metric is an important criteria. This can be calculated efficiently using mutual information based technique. When transforming a floating image to reference image the transformed location of a voxel of the floating image may not coincide with the location of a voxel in the reference image, so interpolation is needed. This can be done effectively by partial volume interpolation, because it produces smooth changes with small changes in transformation and improves subvoxel accuracy. Partial volume interpolator consists of multipliers as its main component. In this work, it is implemented using array multiplier and CSA multiplier and compared the performance of these multipliers‥
{"title":"FPGA implementation of an efficient partial volume interpolation for medical image registration","authors":"C. John Moses, D. Selvathi, S. Sajitha Rani","doi":"10.1109/ICCCCT.2010.5670541","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670541","url":null,"abstract":"Image registration is the process of overlaying two or more images of the same scene taken at different times, from different viewpoints, and/or by different sensors. It geometrically aligns two images - the reference and floating images. Medical image registration concentrates on aligning two or more images that represent the same anatomy from different angles and are obtained at different times. In recent efforts, image registration algorithms have been implemented in FPGA technology to improve performance while providing programmability and dynamic configurability. To transform points from one image to another, similarity metric is an important criteria. This can be calculated efficiently using mutual information based technique. When transforming a floating image to reference image the transformed location of a voxel of the floating image may not coincide with the location of a voxel in the reference image, so interpolation is needed. This can be done effectively by partial volume interpolation, because it produces smooth changes with small changes in transformation and improves subvoxel accuracy. Partial volume interpolator consists of multipliers as its main component. In this work, it is implemented using array multiplier and CSA multiplier and compared the performance of these multipliers‥","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116642609","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670536
Jayasanthi Ranjith, N. Muniraj, G. Renganayahi
Abstract-This paper describes a novel single bit control system processor with efficient code density in System on Chip (SOC) and mixed signal applications. Advanced process technology nowadays enables hundreds of million transistors to be integrated onto a single chip, making system-on-a-chip designs more feasible than ever. Such SOC chips usually consist of various components such as analog-to-digital (ADCs) and digital-to-analog (DACs) converters, Phase locked loops (PLLs), random logic, memory, processors, and so on. Delta-Sigma (ΔΣ) modulator is frequently used in the Conversion of signals from analog or digital form into bit streams at very high sampling rate. Single Bit control system processor that uses this modulation technique is a small and fast application-specific processor in SOC and mixed signal applications. Another increasing concern in processor design is improved Code density, since it reduces the need for the scarce resource memory and also implicitly improves further important design Parameters like power consumption and performance. A dictionary based data compression technique which provides a substantial improvement in the compression efficiency without introducing any additional decompression penalty is introduced here. This may also reduce the power Consumption, since memory consumes a significant amount of Control system processor's power
{"title":"VLSI implementation of single bit control system processor with efficient code density","authors":"Jayasanthi Ranjith, N. Muniraj, G. Renganayahi","doi":"10.1109/ICCCCT.2010.5670536","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670536","url":null,"abstract":"Abstract-This paper describes a novel single bit control system processor with efficient code density in System on Chip (SOC) and mixed signal applications. Advanced process technology nowadays enables hundreds of million transistors to be integrated onto a single chip, making system-on-a-chip designs more feasible than ever. Such SOC chips usually consist of various components such as analog-to-digital (ADCs) and digital-to-analog (DACs) converters, Phase locked loops (PLLs), random logic, memory, processors, and so on. Delta-Sigma (ΔΣ) modulator is frequently used in the Conversion of signals from analog or digital form into bit streams at very high sampling rate. Single Bit control system processor that uses this modulation technique is a small and fast application-specific processor in SOC and mixed signal applications. Another increasing concern in processor design is improved Code density, since it reduces the need for the scarce resource memory and also implicitly improves further important design Parameters like power consumption and performance. A dictionary based data compression technique which provides a substantial improvement in the compression efficiency without introducing any additional decompression penalty is introduced here. This may also reduce the power Consumption, since memory consumes a significant amount of Control system processor's power","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131003185","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670597
Krishnamoorthy A Research Scholar, Dharmalingam K Dean, Academic Activities
In the design of electrical machinery, direct search methods of conventional optimization techniques are widely used. In the recent years, Genetic Algorithm (GA) has been successfully applied to the design optimization of electromagnetic devices and electrical machinery. In this paper, an optimal design method to optimize the cost of three phase Induction Motor (IM) is presented. The motor design procedure consists of a set of non - linear equations, which imposes IM characteristics, motor performance, magnetic stresses and thermal limits, and also checks that certain constraints imposed are not violated. Optimization has been carried out using a conventional optimization method, Rosenbrock's method and also using GA. A combination of conventional optimization technique with GA (i.e., results obtained in Rosenbrock's method are fed as input data in GA process) has also been carried out. A comparative study and analysis of the end results obtained through computer simulations are presented in the paper.
{"title":"Optimized design of three phase IM using Rosenbrock's method and GA","authors":"Krishnamoorthy A Research Scholar, Dharmalingam K Dean, Academic Activities","doi":"10.1109/ICCCCT.2010.5670597","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670597","url":null,"abstract":"In the design of electrical machinery, direct search methods of conventional optimization techniques are widely used. In the recent years, Genetic Algorithm (GA) has been successfully applied to the design optimization of electromagnetic devices and electrical machinery. In this paper, an optimal design method to optimize the cost of three phase Induction Motor (IM) is presented. The motor design procedure consists of a set of non - linear equations, which imposes IM characteristics, motor performance, magnetic stresses and thermal limits, and also checks that certain constraints imposed are not violated. Optimization has been carried out using a conventional optimization method, Rosenbrock's method and also using GA. A combination of conventional optimization technique with GA (i.e., results obtained in Rosenbrock's method are fed as input data in GA process) has also been carried out. A comparative study and analysis of the end results obtained through computer simulations are presented in the paper.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132486695","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670543
S. Khuntia, S. Panda
In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) method based on the Artificial Neural Network (ANN) is applied to design a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the power system stability. The design objective is to improve both rotor angle stability and system voltage profile. The proposed ANFIS controller combines the advantages of fuzzy controller and quick response and adaptability nature of ANN. The ANFIS structures were trained using the generated database by fuzzy controllers of TCSC. The results prove that the proposed TCSC-based ANFIS controller is found to be robust to fault location and change in operating conditions. Further, the results obtained are compared with the conventional lead-lag controllers for TCSC.
{"title":"ANFIS approach for TCSC-based controller design for power system stability improvement","authors":"S. Khuntia, S. Panda","doi":"10.1109/ICCCCT.2010.5670543","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670543","url":null,"abstract":"In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) method based on the Artificial Neural Network (ANN) is applied to design a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the power system stability. The design objective is to improve both rotor angle stability and system voltage profile. The proposed ANFIS controller combines the advantages of fuzzy controller and quick response and adaptability nature of ANN. The ANFIS structures were trained using the generated database by fuzzy controllers of TCSC. The results prove that the proposed TCSC-based ANFIS controller is found to be robust to fault location and change in operating conditions. Further, the results obtained are compared with the conventional lead-lag controllers for TCSC.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132775504","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670592
Sandhya Yogi, K. Subhashini, J. Satapathy, Shiv Kumar
Here we have presented an alternate ANN structure called functional link ANN (FLANN) for channel equalization. In contrast to a feed forward ANN structure i.e. a multilayer perceptron (MLP), the FLANN is basically a single layer structure in which non-linearity is introduced by enhancing the input pattern with nonlinear function expansion. A novel method of training the FLANNs using PSO Algorithm is described. The neuron structure is modified to improve the performance of the equalizer. From the results it can be noted that the proposed structure improves the classification capability of the FLANNs in differentiating the received data.
{"title":"A novel PSO based adaptive channel equalizer using a modified ANN structure","authors":"Sandhya Yogi, K. Subhashini, J. Satapathy, Shiv Kumar","doi":"10.1109/ICCCCT.2010.5670592","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670592","url":null,"abstract":"Here we have presented an alternate ANN structure called functional link ANN (FLANN) for channel equalization. In contrast to a feed forward ANN structure i.e. a multilayer perceptron (MLP), the FLANN is basically a single layer structure in which non-linearity is introduced by enhancing the input pattern with nonlinear function expansion. A novel method of training the FLANNs using PSO Algorithm is described. The neuron structure is modified to improve the performance of the equalizer. From the results it can be noted that the proposed structure improves the classification capability of the FLANNs in differentiating the received data.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131711783","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670729
U. Marjit, Subhrangsu Santra, U. Biswas
Selection of a suitable and apposite web service for a particular goal oriented job has become a difficult challenge due to the increasing and huge number of web services offering similar functionalities. When dynamic discovery is used in Web Services to select a specific service in optimal way, it is familiar that the outcome of the discovery contains more and supplementary than one provider. From this bulkiness and massiveness, it is tough enough even for a sophisticated user to find out the matter of interest due to syntactical match based searching. Researches are now able to impart semantics to the web services so that the response to the client might be more specific. But in this case also, there is a possible chance of generation of diverse sets of web services which may confuse the naive user. In this paper we introduce a novel concept of matchmaking of semantic web services with the user's goal. Here instead of invoking different sets of web services, the system will generate only one of the best choices available in the repository. This paper studies the dynamic Web service selection problem in a service-oriented environment. A usage scenario on e-health system using the propose algorithm has been evaluated here in brief.
{"title":"An efficient approach for dynamic selection of Web Service in service-oriented goal based framework","authors":"U. Marjit, Subhrangsu Santra, U. Biswas","doi":"10.1109/ICCCCT.2010.5670729","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670729","url":null,"abstract":"Selection of a suitable and apposite web service for a particular goal oriented job has become a difficult challenge due to the increasing and huge number of web services offering similar functionalities. When dynamic discovery is used in Web Services to select a specific service in optimal way, it is familiar that the outcome of the discovery contains more and supplementary than one provider. From this bulkiness and massiveness, it is tough enough even for a sophisticated user to find out the matter of interest due to syntactical match based searching. Researches are now able to impart semantics to the web services so that the response to the client might be more specific. But in this case also, there is a possible chance of generation of diverse sets of web services which may confuse the naive user. In this paper we introduce a novel concept of matchmaking of semantic web services with the user's goal. Here instead of invoking different sets of web services, the system will generate only one of the best choices available in the repository. This paper studies the dynamic Web service selection problem in a service-oriented environment. A usage scenario on e-health system using the propose algorithm has been evaluated here in brief.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122693672","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670567
R. Anisha Selva Kala, D. J. Auxillia
The primary goal of hyperthermia controller is to achieve and maintain desired temperatures of ≥43°C within the tumor while limiting temperatures outside the tumor to safe levels ≤41°C from a baseline temperature of 37°C for a time duration of 30–60 minutes (3600 secs). The thermal model of the tissue is obtained by Pennes' bio-heat transfer equation and solved using finite difference method. A scanned focused ultrasound transducer is used to heat the tumor. The purpose of the controller for ultrasound hyperthermia treatment is to achieve the desired tumor temperature with an optimal rise time of 360 sec, a fast settling time of less than 720 sec with small oscillations. Therefore a Periodic Output Feedback (POF) Controller which is a type of multi-rate output feedback (MROF) technique is proposed. This control algorithm needs the system to be completely controllable and observable and can give the desired performance even in the presence of unmeasured disturbances. The performance of the periodic output feedback controller is tested on the 1-D model of the tissue. Using performance index minimization, the inter-sampling oscillations and the control efforts are reduced. Simulations are done by varying tumor size and thermal conductivity.
{"title":"Periodic output feedback controller for cancer treatment with optimization","authors":"R. Anisha Selva Kala, D. J. Auxillia","doi":"10.1109/ICCCCT.2010.5670567","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670567","url":null,"abstract":"The primary goal of hyperthermia controller is to achieve and maintain desired temperatures of ≥43°C within the tumor while limiting temperatures outside the tumor to safe levels ≤41°C from a baseline temperature of 37°C for a time duration of 30–60 minutes (3600 secs). The thermal model of the tissue is obtained by Pennes' bio-heat transfer equation and solved using finite difference method. A scanned focused ultrasound transducer is used to heat the tumor. The purpose of the controller for ultrasound hyperthermia treatment is to achieve the desired tumor temperature with an optimal rise time of 360 sec, a fast settling time of less than 720 sec with small oscillations. Therefore a Periodic Output Feedback (POF) Controller which is a type of multi-rate output feedback (MROF) technique is proposed. This control algorithm needs the system to be completely controllable and observable and can give the desired performance even in the presence of unmeasured disturbances. The performance of the periodic output feedback controller is tested on the 1-D model of the tissue. Using performance index minimization, the inter-sampling oscillations and the control efforts are reduced. Simulations are done by varying tumor size and thermal conductivity.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121176571","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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