Pub Date : 2014-02-01DOI: 10.1109/ICICES.2014.7033766
R. Baskarane, P. Archana, A. Priyadharshini, P. Hemalatha
Emerging new era of computing in fashionable trendy infrastructure to boot up a business perspective application services are provided through internet via the technological paradigm shift named as cloud computing. Furthermore cloud enhances the technological issues termed with mobile energy lifetimes and provides the better solution to save potential energy existence. Cloud plays the infrastructural role towards the business computing resources such as processing requirement, memory utilization, and storage space are not present at the user's or client location. A service provider owns the resource management and which is avail on internet for future retrieval. By this way energy can be saved potentially for mobile users and it providing optimal service.
{"title":"MC2 for enhancing the lifetime of a cellular device","authors":"R. Baskarane, P. Archana, A. Priyadharshini, P. Hemalatha","doi":"10.1109/ICICES.2014.7033766","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7033766","url":null,"abstract":"Emerging new era of computing in fashionable trendy infrastructure to boot up a business perspective application services are provided through internet via the technological paradigm shift named as cloud computing. Furthermore cloud enhances the technological issues termed with mobile energy lifetimes and provides the better solution to save potential energy existence. Cloud plays the infrastructural role towards the business computing resources such as processing requirement, memory utilization, and storage space are not present at the user's or client location. A service provider owns the resource management and which is avail on internet for future retrieval. By this way energy can be saved potentially for mobile users and it providing optimal service.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"44 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76977162","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 : 2014-02-01DOI: 10.1109/ICICES.2014.7034068
P. D. Jordhana, K. Soundararajan
The image processing techniques with computer automated object recognization is an emerging area of research in several engineering and biomédical applications. The images created by Synthetic Aperture Radar (SAR) require complex image processing for intelligence extraction. A technique for man made object recognization in SAR created images is presented here. The kernel methods along with machine learning algorithms are investigated in this paper. The kernel methods allow efficient mapping from non-linear to linear feature space and integrate with several existing linear pattern matching techniques. The image's spatial characteristics are used as data for kernel functions. With MATLAB simulation results the kernel based man-made object classification is verified for different sizes of data sets under different conditions.
{"title":"Kernel methods and machine learning techniques for man-made object classification in SAR images","authors":"P. D. Jordhana, K. Soundararajan","doi":"10.1109/ICICES.2014.7034068","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7034068","url":null,"abstract":"The image processing techniques with computer automated object recognization is an emerging area of research in several engineering and biomédical applications. The images created by Synthetic Aperture Radar (SAR) require complex image processing for intelligence extraction. A technique for man made object recognization in SAR created images is presented here. The kernel methods along with machine learning algorithms are investigated in this paper. The kernel methods allow efficient mapping from non-linear to linear feature space and integrate with several existing linear pattern matching techniques. The image's spatial characteristics are used as data for kernel functions. With MATLAB simulation results the kernel based man-made object classification is verified for different sizes of data sets under different conditions.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"511 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77027498","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 : 2014-02-01DOI: 10.1109/ICICES.2014.7033983
P. Radhikala, G. Thiyagarajan
A computer-aided diagnosis [CAD] system are proposed to segmenting and tracking of fluorescent cells in time-lapse series. We proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise. Second, the cell boundaries are detected by minimizing the Otsu model in the fast level setlike frameworks, while obtaining smooth contours of foreground objects. Otsu model behaves well in segmenting images of low signal-to-noise ratio. But it gives satisfactory results only when the numbers of pixels in each class are close to each other. Otherwise, it gives the improper results. Experimental results show that the proposed method performs better than the traditional Otsu model for our renal biopsy samples. Finally the tracked cells are demonstrated on time-lapse series of prostate cancer cells. The system, which was tested using a variety of cells, achieved tracking cell images is both fast and robust.
{"title":"Medical image tracking of fluorescent cells using Otsu model","authors":"P. Radhikala, G. Thiyagarajan","doi":"10.1109/ICICES.2014.7033983","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7033983","url":null,"abstract":"A computer-aided diagnosis [CAD] system are proposed to segmenting and tracking of fluorescent cells in time-lapse series. We proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise. Second, the cell boundaries are detected by minimizing the Otsu model in the fast level setlike frameworks, while obtaining smooth contours of foreground objects. Otsu model behaves well in segmenting images of low signal-to-noise ratio. But it gives satisfactory results only when the numbers of pixels in each class are close to each other. Otherwise, it gives the improper results. Experimental results show that the proposed method performs better than the traditional Otsu model for our renal biopsy samples. Finally the tracked cells are demonstrated on time-lapse series of prostate cancer cells. The system, which was tested using a variety of cells, achieved tracking cell images is both fast and robust.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"212 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77119874","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 : 2014-02-01DOI: 10.1109/ICICES.2014.7033918
P. Kalaivani, M. Senthil
The vehicular routing is a smart driving direction service based on GPS traces using crowd sourcing g of Taxi drivers. An online social service based system primarily on the service employs crowd sourcing to provide real-time traffic updates. It finds out the practically fastest driving directions with less online computation. It propose a time-dependent landmark graph is used to provide the practically fastest route to a given destination at a given departure time. This graph is used to model the data collection by dynamic traffic pattern as well as the intelligence of experienced drivers. In this system, it collects various types of information like location, time slot and landmark. It can also find the location different types of whether condition. This project mainly focuses to identify the shortest optimal path from location data collected from large number of users by using two-stage routing algorithms to compute the practically fastest and customized route for end users.
{"title":"Optimal vehicular routing and driving directions with human intelligence","authors":"P. Kalaivani, M. Senthil","doi":"10.1109/ICICES.2014.7033918","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7033918","url":null,"abstract":"The vehicular routing is a smart driving direction service based on GPS traces using crowd sourcing g of Taxi drivers. An online social service based system primarily on the service employs crowd sourcing to provide real-time traffic updates. It finds out the practically fastest driving directions with less online computation. It propose a time-dependent landmark graph is used to provide the practically fastest route to a given destination at a given departure time. This graph is used to model the data collection by dynamic traffic pattern as well as the intelligence of experienced drivers. In this system, it collects various types of information like location, time slot and landmark. It can also find the location different types of whether condition. This project mainly focuses to identify the shortest optimal path from location data collected from large number of users by using two-stage routing algorithms to compute the practically fastest and customized route for end users.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"33 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77822108","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 : 2014-02-01DOI: 10.1109/ICICES.2014.7033818
Ravali Raju, M. Kalaiarasi, S. Krishnan
Cloud computing is changing the scope of IT management, and organization need to be highly adaptable to safeguard the continuity of their business operations, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. Therefore, the developers need not invest always on either software or hardware to deploy their service. Thus, Cloud computing is particularly valuable because it shifts capital expenditures into operating expenditures. This has the benefit of decoupling growth from cash on hand or from requiring access to capital. It also shifts risk away from an organization and onto the cloud provider. Hence to retain profit while accessing a pooled of resources on a pay-as-you-go basis we provide a numbers of system characteristic of infrastructure vendor, service provider and as well as customer, that alter the economics of information technology. Resource Scheduling is one of the main concerns in profit maximization for which we take MOBA as it resolves the global convergence problem.
{"title":"Profit maximization in cloud computing","authors":"Ravali Raju, M. Kalaiarasi, S. Krishnan","doi":"10.1109/ICICES.2014.7033818","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7033818","url":null,"abstract":"Cloud computing is changing the scope of IT management, and organization need to be highly adaptable to safeguard the continuity of their business operations, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. Therefore, the developers need not invest always on either software or hardware to deploy their service. Thus, Cloud computing is particularly valuable because it shifts capital expenditures into operating expenditures. This has the benefit of decoupling growth from cash on hand or from requiring access to capital. It also shifts risk away from an organization and onto the cloud provider. Hence to retain profit while accessing a pooled of resources on a pay-as-you-go basis we provide a numbers of system characteristic of infrastructure vendor, service provider and as well as customer, that alter the economics of information technology. Resource Scheduling is one of the main concerns in profit maximization for which we take MOBA as it resolves the global convergence problem.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"110 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76093382","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 : 2014-02-01DOI: 10.1109/ICICES.2014.7033938
C. Mahesh, K. Kiruthika, M. Dhilsathfathima
Hepatitis B is a potentially life-threatening liver infection caused by the hepatitis B virus. The virus interferes with the function of the liver while replicating in hepatocytes. It is a major global health problem and the most serious type of viral hepatitis. Chronic liver disease is caused by viral hepatitis and putting people at high risk of death from cirrhosis of the liver and liver cancer. Medical information available is extensive and which is utilized by the clinical specialists. The ranging of information is from details of clinical symptoms to various types of biochemical data. Information provided by each data is evaluated and assigned to a particular pathology during the diagnostic process. Artificial intelligence methods especially computer aided diagnosis and artificial neural networks can be employed to streamline the diagnostic process. These adaptive learning algorithms can handle diverse types of medical data and integrate them into categorized outputs. Artificial neural networks are finding many uses in the medical diagnosis application. In this paper we have proposed a Generalized Regression Neural Network (GRNN) based expert system for the diagnosis of the hepatitis B virus disease. The system classifies each patient into infected and non-infected. If infected then how severe it is in terms of intensity rate.
{"title":"Diagnosing hepatitis B using artificial neural network based expert system","authors":"C. Mahesh, K. Kiruthika, M. Dhilsathfathima","doi":"10.1109/ICICES.2014.7033938","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7033938","url":null,"abstract":"Hepatitis B is a potentially life-threatening liver infection caused by the hepatitis B virus. The virus interferes with the function of the liver while replicating in hepatocytes. It is a major global health problem and the most serious type of viral hepatitis. Chronic liver disease is caused by viral hepatitis and putting people at high risk of death from cirrhosis of the liver and liver cancer. Medical information available is extensive and which is utilized by the clinical specialists. The ranging of information is from details of clinical symptoms to various types of biochemical data. Information provided by each data is evaluated and assigned to a particular pathology during the diagnostic process. Artificial intelligence methods especially computer aided diagnosis and artificial neural networks can be employed to streamline the diagnostic process. These adaptive learning algorithms can handle diverse types of medical data and integrate them into categorized outputs. Artificial neural networks are finding many uses in the medical diagnosis application. In this paper we have proposed a Generalized Regression Neural Network (GRNN) based expert system for the diagnosis of the hepatitis B virus disease. The system classifies each patient into infected and non-infected. If infected then how severe it is in terms of intensity rate.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"29 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79105264","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 : 2014-02-01DOI: 10.1109/ICICES.2014.7033814
T. A. Ananth, R. Sivasuriya
An intelligent hybrid medium access control (IH-MAC), a novel low power with minimal packet delay medium access control protocol for wireless sensor networks (WSNs). The IH-MAC achieves high energy efficient under wide range of traffic load. It ensures high channel utilization during high traffic load without compromising energy efficiency. IH-MAC does it by using the strength of CSMA and TDMA approach with intelligence. The novel idea behind the IH-MAC is that, it uses both the broadcast scheduling and link scheduling. Depending on the network loads the IH-MAC protocol dynamically switches from broadcast scheduling to link scheduling and vice-versa in order to achieve better efficiency. Furthermore, IH-MAC uses Request-To-Send (RTS), Clear-To-Send (CTS) handshakes with methods for adapting the transmit power to the minimum level necessary to reach the intended neighbor with a given BER target or packet loss probability. Thus IH-MAC reduces energy consumption by suitably varying the transmit power. IH-MAC achieves high energy potency below wide selection of traffic load. It ensures high channel utilization throughout high traffic load while not compromising energy potency. The novel plan behind the IH-MAC is that, it uses each the published programming and link programming betting on the network hundreds the IH-MAC protocol dynamically switches from broadcast programming to link programming and vice-versa so as to attain higher potency. So IH-MAC reduces energy consumption by befittingly variable the transmit power.
{"title":"Broadcast scheduling and link scheduling in IH-MAC for wireless sensor networks","authors":"T. A. Ananth, R. Sivasuriya","doi":"10.1109/ICICES.2014.7033814","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7033814","url":null,"abstract":"An intelligent hybrid medium access control (IH-MAC), a novel low power with minimal packet delay medium access control protocol for wireless sensor networks (WSNs). The IH-MAC achieves high energy efficient under wide range of traffic load. It ensures high channel utilization during high traffic load without compromising energy efficiency. IH-MAC does it by using the strength of CSMA and TDMA approach with intelligence. The novel idea behind the IH-MAC is that, it uses both the broadcast scheduling and link scheduling. Depending on the network loads the IH-MAC protocol dynamically switches from broadcast scheduling to link scheduling and vice-versa in order to achieve better efficiency. Furthermore, IH-MAC uses Request-To-Send (RTS), Clear-To-Send (CTS) handshakes with methods for adapting the transmit power to the minimum level necessary to reach the intended neighbor with a given BER target or packet loss probability. Thus IH-MAC reduces energy consumption by suitably varying the transmit power. IH-MAC achieves high energy potency below wide selection of traffic load. It ensures high channel utilization throughout high traffic load while not compromising energy potency. The novel plan behind the IH-MAC is that, it uses each the published programming and link programming betting on the network hundreds the IH-MAC protocol dynamically switches from broadcast programming to link programming and vice-versa so as to attain higher potency. So IH-MAC reduces energy consumption by befittingly variable the transmit power.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75687063","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 : 2014-02-01DOI: 10.1109/ICICES.2014.7033959
S. Srinivasan, S. Muthukumarasamy, N. Sivagamy
Now a day's technologies in the medical fields must be utilized to create advancements and to meet health requirements with the available medical resources for the day by day increasing population. Previous tasks such as building health organization, digitalization and integration of HealthCare platform are providing service inside the organization to the patient. It has difficulties such as adapting to dynamic environment and meeting user's diversified requirements. A Public-oriented Health care Platform using web services technology overcomes the above problems and provides really useful healthcare solution to end users. In this approach an automated wireless sensors based device will take care of monitoring the body of the patient and finding the chronic diseases. An automated application will be taking care of pushing and pulling the data periodically and send chronic diseases values by SMS through SMS gateway to the register patient. In the modern HealthCare Platform is providing service to the patient anywhere and anytime. In addition to the above requirements are finding fall down detection of patient by using GPS technologies and trying to send fall down location SMS through SMS gateways to the stored authorized security numbers which are available in the patient database.
{"title":"Parallel computing based intelligent web service for healthcare platform","authors":"S. Srinivasan, S. Muthukumarasamy, N. Sivagamy","doi":"10.1109/ICICES.2014.7033959","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7033959","url":null,"abstract":"Now a day's technologies in the medical fields must be utilized to create advancements and to meet health requirements with the available medical resources for the day by day increasing population. Previous tasks such as building health organization, digitalization and integration of HealthCare platform are providing service inside the organization to the patient. It has difficulties such as adapting to dynamic environment and meeting user's diversified requirements. A Public-oriented Health care Platform using web services technology overcomes the above problems and provides really useful healthcare solution to end users. In this approach an automated wireless sensors based device will take care of monitoring the body of the patient and finding the chronic diseases. An automated application will be taking care of pushing and pulling the data periodically and send chronic diseases values by SMS through SMS gateway to the register patient. In the modern HealthCare Platform is providing service to the patient anywhere and anytime. In addition to the above requirements are finding fall down detection of patient by using GPS technologies and trying to send fall down location SMS through SMS gateways to the stored authorized security numbers which are available in the patient database.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"457 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79782355","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 : 2014-02-01DOI: 10.1109/ICICES.2014.7033819
P. Selvigrija, J. Premkumar
Mobile ad hoc network is one of most important research topics as they are infrastructure-less and mobile. Open medium, wide distribution and de-centralization of nodes makes MANETs vulnerable and malicious. It is crucial to develop efficient intrusion detection system to protect MANETs. A new intrusion detection system named bandwidth shared acknowledgment (BSA) in which all transmission packet data and acknowledge should be cryptographically signed. Swarm Based Detection techniques for multiple paths establishment among source to destination and random casting is use during intrusion in MANETs. Eavesdropping in MANET is scheduled based on number of acknowledgement received at every instance in network. The theme of this paper is to provide a seamless message delivery in a MANET despite its threats using random casting and the existing mechanisms like 2-hop acknowledgement or source directed acknowledgement does not hold when a network topology changes frequently or when a node is compromised. These drawbacks are to be addressed ensuring secured connecting edges between source and destination. The source collision, exposure to vulnerability is also minimized using this mechanism. We propose an optimize solution for above problem using BSA techniques which overcomes eaves dropping based on acknowledgement from intermediate only.
{"title":"Bandwidth shared acknowledgment (BSA) — A secure intrusion detection and multi path routing for MANETs","authors":"P. Selvigrija, J. Premkumar","doi":"10.1109/ICICES.2014.7033819","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7033819","url":null,"abstract":"Mobile ad hoc network is one of most important research topics as they are infrastructure-less and mobile. Open medium, wide distribution and de-centralization of nodes makes MANETs vulnerable and malicious. It is crucial to develop efficient intrusion detection system to protect MANETs. A new intrusion detection system named bandwidth shared acknowledgment (BSA) in which all transmission packet data and acknowledge should be cryptographically signed. Swarm Based Detection techniques for multiple paths establishment among source to destination and random casting is use during intrusion in MANETs. Eavesdropping in MANET is scheduled based on number of acknowledgement received at every instance in network. The theme of this paper is to provide a seamless message delivery in a MANET despite its threats using random casting and the existing mechanisms like 2-hop acknowledgement or source directed acknowledgement does not hold when a network topology changes frequently or when a node is compromised. These drawbacks are to be addressed ensuring secured connecting edges between source and destination. The source collision, exposure to vulnerability is also minimized using this mechanism. We propose an optimize solution for above problem using BSA techniques which overcomes eaves dropping based on acknowledgement from intermediate only.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80486870","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 : 2014-02-01DOI: 10.1109/ICICES.2014.7034014
S. Pauline, C. Lakshmi
UWB(Ultra Wide Band) is a radio technology that transmits information spread over a large bandwidth. These systems share the radio frequency spectrum with narrowband signals and also provide high data rates, greater bandwidth and improved channel capacity. Hence it has attracted a lot of interest in researchers worldwide. The various design challenges include channel estimation and interference mitigation. MAI (Multiple Access Interference) degrades the performance of UWB systems. To suppress the multiple access interference, an α-stable model along with Fama/Roll-McCulloch parameter estimation technique is proposed. This model adapts to the noise and interference in the environment and hence it forms a robust technique for adaptive receiver designs. From simulation results, it is verified that the proposed method provides better Bit Error Rate and capacity performance than the linear detectors.
{"title":"Evaluation of BER and capacity for ultra wide band communication receivers","authors":"S. Pauline, C. Lakshmi","doi":"10.1109/ICICES.2014.7034014","DOIUrl":"https://doi.org/10.1109/ICICES.2014.7034014","url":null,"abstract":"UWB(Ultra Wide Band) is a radio technology that transmits information spread over a large bandwidth. These systems share the radio frequency spectrum with narrowband signals and also provide high data rates, greater bandwidth and improved channel capacity. Hence it has attracted a lot of interest in researchers worldwide. The various design challenges include channel estimation and interference mitigation. MAI (Multiple Access Interference) degrades the performance of UWB systems. To suppress the multiple access interference, an α-stable model along with Fama/Roll-McCulloch parameter estimation technique is proposed. This model adapts to the noise and interference in the environment and hence it forms a robust technique for adaptive receiver designs. From simulation results, it is verified that the proposed method provides better Bit Error Rate and capacity performance than the linear detectors.","PeriodicalId":13713,"journal":{"name":"International Conference on Information Communication and Embedded Systems (ICICES2014)","volume":"54 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83108197","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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