Pub Date : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019325
D. Devi, K. Muthukannan
For any automated image analysis process, the segmentation is an important task because all subsequent tasks in image processing heavily rely on the quality of image segmentation. It determines the eventual success or failure of the analysis. The problem in image segmentation occurs when an image has a varying gray level background. There are several algorithms and methods are available for image segmentation, but there is a need to develop a unique method for it. In this paper, some of the image segmentation algorithms are compared to segment the diseased portion of rice leaves.
{"title":"Analysis of segmentation scheme for diseased rice leaves","authors":"D. Devi, K. Muthukannan","doi":"10.1109/ICACCCT.2014.7019325","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019325","url":null,"abstract":"For any automated image analysis process, the segmentation is an important task because all subsequent tasks in image processing heavily rely on the quality of image segmentation. It determines the eventual success or failure of the analysis. The problem in image segmentation occurs when an image has a varying gray level background. There are several algorithms and methods are available for image segmentation, but there is a need to develop a unique method for it. In this paper, some of the image segmentation algorithms are compared to segment the diseased portion of rice leaves.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125643934","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 : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019465
Abhijit Biswas, H. J. Mahanta, M. Hussain
As the growing consumer electronic market imposes constraint such as compact product design and strict time to market, the traditional method of chip designing failed miserably to satisfy these constraints. With the evolution of Network-on-Chip, researchers have made an honest effort to resolve such issues but designing a network which encourages reusability of components and also scalable still remains an area where more refinement is necessary. In this paper we present before you a fat tree based network on chip. The entire design of the network with the nodes and switches has been described in details. The proposed architecture has been implemented and analyzed in a C++ based simulator. The analysis results have been presented at the end of the paper.
{"title":"Implementing a partial group based routing for homogeneous fat tree network on chip architecture","authors":"Abhijit Biswas, H. J. Mahanta, M. Hussain","doi":"10.1109/ICACCCT.2014.7019465","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019465","url":null,"abstract":"As the growing consumer electronic market imposes constraint such as compact product design and strict time to market, the traditional method of chip designing failed miserably to satisfy these constraints. With the evolution of Network-on-Chip, researchers have made an honest effort to resolve such issues but designing a network which encourages reusability of components and also scalable still remains an area where more refinement is necessary. In this paper we present before you a fat tree based network on chip. The entire design of the network with the nodes and switches has been described in details. The proposed architecture has been implemented and analyzed in a C++ based simulator. The analysis results have been presented at the end of the paper.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124895178","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 : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019348
Wasim Hossain, M. Das
Object detection from a moving image sequence is one of the most challenging research area. Detection of moving objects in a video sequence is the fundamental step but a critical task in information extraction for computer vision applications. The main idea in our paper is to detect the moving objects area smoothly. This paper presents a real time approach to determine objects in the dynamic surveillance systems. It is mainly based on frame difference model and background subtraction model; choose one of the approaches according to the surrounding environment and take the advantages of both FDM and BSM. With this model, a scene containing temporal stationary objects, motionless objects, objects having similar chromatic value of background, illumination change effectively in a surveillance application; can detected smoothly the area of the objects. After determining the moving object area, it is eliminates the noise and finally produce the moving objects area. The experimental results show that our proposed approach can detect the moving objects from video sequence robustly and successfully.
{"title":"Moving object detection in dynamic backgrounds for surveillance systems","authors":"Wasim Hossain, M. Das","doi":"10.1109/ICACCCT.2014.7019348","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019348","url":null,"abstract":"Object detection from a moving image sequence is one of the most challenging research area. Detection of moving objects in a video sequence is the fundamental step but a critical task in information extraction for computer vision applications. The main idea in our paper is to detect the moving objects area smoothly. This paper presents a real time approach to determine objects in the dynamic surveillance systems. It is mainly based on frame difference model and background subtraction model; choose one of the approaches according to the surrounding environment and take the advantages of both FDM and BSM. With this model, a scene containing temporal stationary objects, motionless objects, objects having similar chromatic value of background, illumination change effectively in a surveillance application; can detected smoothly the area of the objects. After determining the moving object area, it is eliminates the noise and finally produce the moving objects area. The experimental results show that our proposed approach can detect the moving objects from video sequence robustly and successfully.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125236466","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 : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019277
V. S. Sundara Rajan, A. Malini, K. Sundarakantham
Mobile application is application software intended to be deployed and used on any portable devices. Online mobile applications are widely used in many critical areas such as online shopping, ticket booking, E-commerce, etc. The quality of these applications depends upon network related factors that may affect the normal working of the application under poor performance. So there is a need to test online mobile application but the existing method does not provide a better performance result based on the network and device factors. In this paper, a testing framework the “Test My APP” is proposed to test online mobile applications. The proposed testing framework measures the response time under various device and network conditions. The obtained results are then processed using the chi-square based performance evaluation method to provide accurate performance measure.
移动应用程序是旨在部署和使用在任何便携式设备上的应用软件。在线移动应用程序广泛应用于许多关键领域，如网上购物、机票预订、电子商务等。这些应用程序的质量取决于与网络相关的因素，这些因素在性能较差的情况下可能会影响应用程序的正常工作。因此，有必要对在线移动应用程序进行测试，但现有的方法并没有提供更好的基于网络和设备因素的性能结果。本文提出了一个测试框架“Test My APP”来测试在线移动应用。提出的测试框架测量在各种设备和网络条件下的响应时间。然后使用基于卡方的性能评价方法对所得结果进行处理，以提供准确的性能度量。
{"title":"Performance evaluation of online mobile application using Test My App","authors":"V. S. Sundara Rajan, A. Malini, K. Sundarakantham","doi":"10.1109/ICACCCT.2014.7019277","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019277","url":null,"abstract":"Mobile application is application software intended to be deployed and used on any portable devices. Online mobile applications are widely used in many critical areas such as online shopping, ticket booking, E-commerce, etc. The quality of these applications depends upon network related factors that may affect the normal working of the application under poor performance. So there is a need to test online mobile application but the existing method does not provide a better performance result based on the network and device factors. In this paper, a testing framework the “Test My APP” is proposed to test online mobile applications. The proposed testing framework measures the response time under various device and network conditions. The obtained results are then processed using the chi-square based performance evaluation method to provide accurate performance measure.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134324466","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 : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019139
Liaqat Moideen Parakundil, N. Saraswathi
Reducing power consumption is a crucial task for any circuits. Increased demand for portable devices with reduced power dissipation has put necessary traction to design low power circuits. Both explicit and implicit pulse triggered flip flops are designed. Multiple Threshold CMOS (MTCMOS) technique and Self-controllable voltage level (SVL) circuit are employed to reduce power consumption. All the circuits are designed in 45nm technology for 1 GHz frequency.
{"title":"Low power pulse triggered D-flip flops using MTCMOS and Self-controllable voltage level circuit","authors":"Liaqat Moideen Parakundil, N. Saraswathi","doi":"10.1109/ICACCCT.2014.7019139","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019139","url":null,"abstract":"Reducing power consumption is a crucial task for any circuits. Increased demand for portable devices with reduced power dissipation has put necessary traction to design low power circuits. Both explicit and implicit pulse triggered flip flops are designed. Multiple Threshold CMOS (MTCMOS) technique and Self-controllable voltage level (SVL) circuit are employed to reduce power consumption. All the circuits are designed in 45nm technology for 1 GHz frequency.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134119782","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 : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019155
Sweta C. Morajkar, J. Laxminarayana
Due to increase in number of technologies, a large amount of data gets accumulated. The need arises to handle this data for retrieving and analyzing useful information. Clustering of temporal data has been explored using evolutionary clustering. However the time dimension associated with the record has not been considered. Traditional clustering algorithms usually focus on grouping data objects based on similarity function. Temporal data clustering extends traditional clustering mechanisms and provides underpinning solutions for discovering the evolving information over the period of time. This paper proposes a methodology for clustering medical observations of patients based on a new similarity measure. We show how to accelerate the clustering algorithm by avoiding unnecessary distance calculations by applying such similarity measure.
{"title":"Threshold based similarity clustering of medical data","authors":"Sweta C. Morajkar, J. Laxminarayana","doi":"10.1109/ICACCCT.2014.7019155","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019155","url":null,"abstract":"Due to increase in number of technologies, a large amount of data gets accumulated. The need arises to handle this data for retrieving and analyzing useful information. Clustering of temporal data has been explored using evolutionary clustering. However the time dimension associated with the record has not been considered. Traditional clustering algorithms usually focus on grouping data objects based on similarity function. Temporal data clustering extends traditional clustering mechanisms and provides underpinning solutions for discovering the evolving information over the period of time. This paper proposes a methodology for clustering medical observations of patients based on a new similarity measure. We show how to accelerate the clustering algorithm by avoiding unnecessary distance calculations by applying such similarity measure.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133281779","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 : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019187
A. Jazeel, M. Susila
This paper propose a novel design for multiband reconfigurable Ultra Wideband (UWB) antenna which can be used for spectrum sensing in cognitive wireless applications. The compact reconfigurable UWB antenna (CRUWBA) proposed is having an excellent matched structure. The radiating patch of the CRUWBA consists of seven regular hexagons united with a circular ring. The CRUWBA is operational in nearly the entire UWB spectrum spanning from 3.1 GHz to 10.6 GHz, and achieves a gain up to 5.8 dB. Within the UWB spectrum, the antenna is capable of operating in five different bands. The operational bands are: band 1 [3-4.3GHz, 5-9 GHz], band 2 [3-3.5GHz, 4.9-6.2 GHz, 7.2-8.9 GHz], band 3 [3-3.8 GHz, 6.7-8.6 GHz], band 4 [3.9-6.1 GHz, 7.4-8.9 GHz] and band 5 [3-4.2 GHz, 4.8-5.7GHz, 6.3-8.4 GHz]. The CRUWBA achieves reconfigurability by employing three switches, and hence have eight switching cases. By analyzing the results, the antenna proves to be satisfying the performance criteria. All the simulations were carried out in Ansoft High Frequency structure simulator (HFSS).
{"title":"Compact reconfigurable Ultra Wide band antenna design for wireless communication","authors":"A. Jazeel, M. Susila","doi":"10.1109/ICACCCT.2014.7019187","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019187","url":null,"abstract":"This paper propose a novel design for multiband reconfigurable Ultra Wideband (UWB) antenna which can be used for spectrum sensing in cognitive wireless applications. The compact reconfigurable UWB antenna (CRUWBA) proposed is having an excellent matched structure. The radiating patch of the CRUWBA consists of seven regular hexagons united with a circular ring. The CRUWBA is operational in nearly the entire UWB spectrum spanning from 3.1 GHz to 10.6 GHz, and achieves a gain up to 5.8 dB. Within the UWB spectrum, the antenna is capable of operating in five different bands. The operational bands are: band 1 [3-4.3GHz, 5-9 GHz], band 2 [3-3.5GHz, 4.9-6.2 GHz, 7.2-8.9 GHz], band 3 [3-3.8 GHz, 6.7-8.6 GHz], band 4 [3.9-6.1 GHz, 7.4-8.9 GHz] and band 5 [3-4.2 GHz, 4.8-5.7GHz, 6.3-8.4 GHz]. The CRUWBA achieves reconfigurability by employing three switches, and hence have eight switching cases. By analyzing the results, the antenna proves to be satisfying the performance criteria. All the simulations were carried out in Ansoft High Frequency structure simulator (HFSS).","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133800795","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 : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019146
Gaurav Gupta, R. Mehra
This paper presents a technique to reduce the sub-threshold current in MOSFET by changing the doping profile in the substrate region near the channel. Sub-threshold current is also known as drain leakage current. The size of MOSFET can be reduced but at the cost of increase in leakage of current from drain to source in its stand by mode. This leakage current dissipates power even if the device is not in use. To avoid this problem leakage must be reduced so that the advantage of reduced size may be tapped more efficiently. The results have been observed using 180nm, 90nm, 45nm, 32nm MOSFET technology. The simulated results clearly show that there is a considerably large reduction in sub-threshold current with a change in acceptor doping concentration from 2.50e + 17 cm-3 to 5.00e + 18 cm-3 to of the channel region in the substrate.
{"title":"MOSFET sub-threshold current reduction by varying substrate doping","authors":"Gaurav Gupta, R. Mehra","doi":"10.1109/ICACCCT.2014.7019146","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019146","url":null,"abstract":"This paper presents a technique to reduce the sub-threshold current in MOSFET by changing the doping profile in the substrate region near the channel. Sub-threshold current is also known as drain leakage current. The size of MOSFET can be reduced but at the cost of increase in leakage of current from drain to source in its stand by mode. This leakage current dissipates power even if the device is not in use. To avoid this problem leakage must be reduced so that the advantage of reduced size may be tapped more efficiently. The results have been observed using 180nm, 90nm, 45nm, 32nm MOSFET technology. The simulated results clearly show that there is a considerably large reduction in sub-threshold current with a change in acceptor doping concentration from 2.50e + 17 cm-3 to 5.00e + 18 cm-3 to of the channel region in the substrate.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133106068","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 : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019183
Bindhiya Vinod, K. Balamurugan, Jayakumar M
Due to increased commercial and scientific applications in millimeter wave (mm wave) band, the development of mm wave transceivers is considered as prominent phase in RFIC design cycle. This paper proposes the design of reconfigurable low noise amplifier (LNA) working at 60 GHz using active load transistor. A single stage source degenerated LNA has been designed to achieve a gain of 8.38 dB and noise figure (NF) of 2.92 dB. The frequency of operation is tuned from 57 to 64 GHz i.e. at millimeter wave. Variation in gain and noise figure are achieved through the design of active load using NMOS transistor. This active load works as reconfiguration network which is subjected to proper bias voltage that yields the highest gain of 8.41 dB and the lower possible gain of 6.9 dB. Similarly the results of NF reaching 2.92 dB as minimum value and on the other end reaching 3.3 dB are observed and presented. That is, reconfigurable performance parameters are gain and NF whose variability is observed to be 17.66 % and 13% respectively. Proper bias voltage is extracted using DC characteristics of load transistor and their results are presented. Design parameter of LNA at millimeter wave frequencies, consideration of noise sources and its equivalent noise voltages, device modeling considering the parasitic effect and choice of LNA configuration have also been discussed.
{"title":"Design of CMOS based reconfigurable LNA at millimeter wave frequency using active load","authors":"Bindhiya Vinod, K. Balamurugan, Jayakumar M","doi":"10.1109/ICACCCT.2014.7019183","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019183","url":null,"abstract":"Due to increased commercial and scientific applications in millimeter wave (mm wave) band, the development of mm wave transceivers is considered as prominent phase in RFIC design cycle. This paper proposes the design of reconfigurable low noise amplifier (LNA) working at 60 GHz using active load transistor. A single stage source degenerated LNA has been designed to achieve a gain of 8.38 dB and noise figure (NF) of 2.92 dB. The frequency of operation is tuned from 57 to 64 GHz i.e. at millimeter wave. Variation in gain and noise figure are achieved through the design of active load using NMOS transistor. This active load works as reconfiguration network which is subjected to proper bias voltage that yields the highest gain of 8.41 dB and the lower possible gain of 6.9 dB. Similarly the results of NF reaching 2.92 dB as minimum value and on the other end reaching 3.3 dB are observed and presented. That is, reconfigurable performance parameters are gain and NF whose variability is observed to be 17.66 % and 13% respectively. Proper bias voltage is extracted using DC characteristics of load transistor and their results are presented. Design parameter of LNA at millimeter wave frequencies, consideration of noise sources and its equivalent noise voltages, device modeling considering the parasitic effect and choice of LNA configuration have also been discussed.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121071095","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 : 2014-05-08DOI: 10.1109/ICACCCT.2014.7019154
L. Gladence, T. Ravi, M. Karthi
A number of studies demonstrated the relationship of HRV (Heart Rate Variability) measures. Over the past years, automatic classifier, based on several clinical & instrumental parameters have been proposed to support CHF assessment. Considering only the low level features will not fulfill the classification needs. In order to avoid the gap between low level i.e general causes for CHF & high level features i.e attribute retrieved from long term HRV & make a decision correctly proposed a classifier to individuate severity of CHF. The proposed classifier separates lower risk patients from higher risk ones, using standard long-term heart rate variability (HRV) measures. The method we used to develop the Automatic Classifier is Bayesian belief network Classifier. The Bayesian Belief Network Classifier has been used in several applications especially for medical diagnosis. The Bayesian Belief Network algorithm iteratively splits the dataset, according to a criterion that maximizes the separation of the data which will produce a tree-like decision.
{"title":"An enhanced method for detecting congestive heart failure - Automatic Classifier","authors":"L. Gladence, T. Ravi, M. Karthi","doi":"10.1109/ICACCCT.2014.7019154","DOIUrl":"https://doi.org/10.1109/ICACCCT.2014.7019154","url":null,"abstract":"A number of studies demonstrated the relationship of HRV (Heart Rate Variability) measures. Over the past years, automatic classifier, based on several clinical & instrumental parameters have been proposed to support CHF assessment. Considering only the low level features will not fulfill the classification needs. In order to avoid the gap between low level i.e general causes for CHF & high level features i.e attribute retrieved from long term HRV & make a decision correctly proposed a classifier to individuate severity of CHF. The proposed classifier separates lower risk patients from higher risk ones, using standard long-term heart rate variability (HRV) measures. The method we used to develop the Automatic Classifier is Bayesian belief network Classifier. The Bayesian Belief Network Classifier has been used in several applications especially for medical diagnosis. The Bayesian Belief Network algorithm iteratively splits the dataset, according to a criterion that maximizes the separation of the data which will produce a tree-like decision.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116007956","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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