Pub Date : 2014-07-10DOI: 10.1109/ICCICCT.2014.6993125
A. Anisha, S. Enoch
In this work, the radiation characteristics of the microstrip fed rectangular patch antenna is analyzed for 2.4 GHz applications. The microstrip patch antenna consists of a pair of electrically conducting layers separated by a 1.5 mm dielectric material. The RT Duroid 5880 is used as dielectric substrate and it has dielectric permittivity of 2.2. Low dielectric constant substrates are essential for getting maximum electromagnetic radiation in the desired direction. Previous researches on this domain expressed the difficulty to achieve the high gain (>2dB), broad impedance bandwidth and better radiation efficiency. The proposed antenna yielded a gain greater than 7.7dB in 2.386-2.414 GHz band. The simulation has been performed by using HFSS, which is a finite element method(FEM) based electromagnetic solver.
{"title":"Analysis and design of microstrip patch antenna for S-band applications","authors":"A. Anisha, S. Enoch","doi":"10.1109/ICCICCT.2014.6993125","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6993125","url":null,"abstract":"In this work, the radiation characteristics of the microstrip fed rectangular patch antenna is analyzed for 2.4 GHz applications. The microstrip patch antenna consists of a pair of electrically conducting layers separated by a 1.5 mm dielectric material. The RT Duroid 5880 is used as dielectric substrate and it has dielectric permittivity of 2.2. Low dielectric constant substrates are essential for getting maximum electromagnetic radiation in the desired direction. Previous researches on this domain expressed the difficulty to achieve the high gain (>2dB), broad impedance bandwidth and better radiation efficiency. The proposed antenna yielded a gain greater than 7.7dB in 2.386-2.414 GHz band. The simulation has been performed by using HFSS, which is a finite element method(FEM) based electromagnetic solver.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"95 1","pages":"1101-1104"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85608312","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 : 2014-07-10DOI: 10.1109/ICCICCT.2014.6993101
Koustabh Dolui, S. Mukherjee, S. K. Datta, V. Rajamani
In this paper we have explored the novel services that can be engendered with the use of Real Time Health Advice and Action (ReTiHA) through continuous monitoring of the patient for vital parameters, real time prognosis and medical advice. Our services are aimed at providing healthcare services in remote areas where rigid healthcare systems are unavailable through implementation of cost effective mechanisms. With the advent of wearable sensors, improved mobile communication technologies and powerful on-board processing capabilities in smart devices, the data collected from the patient and the surrounding environment can be utilized to monitor the patient for various anomalies ranging from a simple rise in body temperature to complex situations including organ failure. The data from sensors are processed on the device itself or sent to a remote server for computations depending on the amount of data handled and the level of emergency associated with the same. The patients are registered on the cloud with organized storage of medical history, vital parameters along with possible emergencies and symptoms. We have emphasized on the introduction of various value-added services in which the immediate family of the patient can receive real time updates, push notifications for medicinal intakes, feedback from patients as well as real time advice in times of emergency. These services are designed to reduce reaction time for an emergency allowing possible prediction of occurrence at a lower level of emergency for patients.
{"title":"ReTiHA: Real time health advice and action using smart devices","authors":"Koustabh Dolui, S. Mukherjee, S. K. Datta, V. Rajamani","doi":"10.1109/ICCICCT.2014.6993101","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6993101","url":null,"abstract":"In this paper we have explored the novel services that can be engendered with the use of Real Time Health Advice and Action (ReTiHA) through continuous monitoring of the patient for vital parameters, real time prognosis and medical advice. Our services are aimed at providing healthcare services in remote areas where rigid healthcare systems are unavailable through implementation of cost effective mechanisms. With the advent of wearable sensors, improved mobile communication technologies and powerful on-board processing capabilities in smart devices, the data collected from the patient and the surrounding environment can be utilized to monitor the patient for various anomalies ranging from a simple rise in body temperature to complex situations including organ failure. The data from sensors are processed on the device itself or sent to a remote server for computations depending on the amount of data handled and the level of emergency associated with the same. The patients are registered on the cloud with organized storage of medical history, vital parameters along with possible emergencies and symptoms. We have emphasized on the introduction of various value-added services in which the immediate family of the patient can receive real time updates, push notifications for medicinal intakes, feedback from patients as well as real time advice in times of emergency. These services are designed to reduce reaction time for an emergency allowing possible prediction of occurrence at a lower level of emergency for patients.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"1 1","pages":"979-984"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77050358","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 : 2014-07-10DOI: 10.1109/ICCICCT.2014.6993093
J. Vimal, A. M. Alex
In the current internet scenario, secure data transmission is limited due to its attack made on data communication. So more robust methods are required to ensure secure data transmission. One solution to the above problem is Steganography. Audio steganography is concerned with hiding information in a cover (host) audio signal in an imperceptible way. Least Significant Bit (LSB) technique is the most simple and efficient technique used for audio steganography. But conventional LS B technique is easy to defeat. In this paper Dual Randomness LS B method is proposed which hides the secret message in randomly selected samples and in randomly selected bit. This method provides more confidentiality compared to conventional LSB method.
{"title":"Audio steganography using dual randomness LSB method","authors":"J. Vimal, A. M. Alex","doi":"10.1109/ICCICCT.2014.6993093","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6993093","url":null,"abstract":"In the current internet scenario, secure data transmission is limited due to its attack made on data communication. So more robust methods are required to ensure secure data transmission. One solution to the above problem is Steganography. Audio steganography is concerned with hiding information in a cover (host) audio signal in an imperceptible way. Least Significant Bit (LSB) technique is the most simple and efficient technique used for audio steganography. But conventional LS B technique is easy to defeat. In this paper Dual Randomness LS B method is proposed which hides the secret message in randomly selected samples and in randomly selected bit. This method provides more confidentiality compared to conventional LSB method.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"86 1","pages":"941-944"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78584127","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 : 2014-07-10DOI: 10.1109/ICCICCT.2014.6993148
Jobin Varghese, S. Rao
Wireless Sensor Networks (WSNs) are of great interest to researchers due to their various applications in areas such as environmental monitoring, process monitoring and tracking surveillance systems. Sensors are deployed in hostile in random fashion giving self-organized topology. Medium Access Control (MAC) plays a vital role in the power saving mechanism of WSNs. MAC schemes for WSNs are different from traditional wireless MAC scheme such as IEEE802.11. This paper provides comprehensive performance analysis of the existing synchronous and asynchronous MAC layer protocols. The widely used synchronous and asynchronous mechanisms in WSNs are SMAC and Receiver Initiated MAC (RI-MAC). The paper presents a comparison of the performance of SMAC and RI-MAC on flat grid topology with a single sensor node as the sink. Here multi-hop transmissions are considered and various performance metric factors such as throughput, energy and latency are evaluated. Ns2 simulation result shows that RI-MAC has better performance than SMAC upon taking various performance metric factors in WSNs.
无线传感器网络(WSNs)由于其在环境监测、过程监测和跟踪监测系统等领域的广泛应用而引起了研究人员的极大兴趣。传感器以随机方式敌对部署，给出自组织拓扑。介质访问控制(MAC)在无线传感器网络的节能机制中起着至关重要的作用。wsn的MAC方案不同于传统的无线MAC方案，如IEEE802.11。本文对现有的同步和异步MAC层协议进行了全面的性能分析。在无线传感器网络中广泛使用的同步和异步机制有SMAC和Receiver Initiated MAC (RI-MAC)。本文比较了SMAC和RI-MAC在单传感器节点为汇聚节点的平面网格拓扑下的性能。这里考虑了多跳传输，并评估了吞吐量、能量和延迟等各种性能度量因素。Ns2仿真结果表明，在考虑各种性能指标因素的情况下，RI-MAC比SMAC具有更好的性能。
{"title":"Performance analysis of synchronous and receiver initiated MAC protocols under varying traffic density over Wireless Sensor Networks","authors":"Jobin Varghese, S. Rao","doi":"10.1109/ICCICCT.2014.6993148","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6993148","url":null,"abstract":"Wireless Sensor Networks (WSNs) are of great interest to researchers due to their various applications in areas such as environmental monitoring, process monitoring and tracking surveillance systems. Sensors are deployed in hostile in random fashion giving self-organized topology. Medium Access Control (MAC) plays a vital role in the power saving mechanism of WSNs. MAC schemes for WSNs are different from traditional wireless MAC scheme such as IEEE802.11. This paper provides comprehensive performance analysis of the existing synchronous and asynchronous MAC layer protocols. The widely used synchronous and asynchronous mechanisms in WSNs are SMAC and Receiver Initiated MAC (RI-MAC). The paper presents a comparison of the performance of SMAC and RI-MAC on flat grid topology with a single sensor node as the sink. Here multi-hop transmissions are considered and various performance metric factors such as throughput, energy and latency are evaluated. Ns2 simulation result shows that RI-MAC has better performance than SMAC upon taking various performance metric factors in WSNs.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"1 1","pages":"1228-1232"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84049287","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 : 2014-07-10DOI: 10.1109/ICCICCT.2014.6992990
Sumi P. Potty, Sneha Jose
Road traffic management is an important parameter which affects quality of life. Optimization of road traffic flow would bring considerable and multi aspect gain in day today life. To manage the traffic, we need to know the density of traffic in each area. The identification of traffic zones can be done by the vehicle itself and communicate to the internet in order to reduce the cost of traffic management system. In this light, this paper presents a traffic zone identification system that can be applied for dynamic real time traffic management. The conventional methodology is to make intelligent road infrastructure which incurs capital and operational expenses for the state. If we make the vehicle intelligent and provide minimal signalling patterns in the road traffic systems, it can result in better quality intelligent traffic management system. Here the cost of the intelligent infrastructure gets distributed in the population of vehicle owners. This is an attempt to explore this potential direction. An electronic vehicular sensor network is used in this work which employs decision fusion algorithms to make intelligent decisions for zone identification. Here we demonstrated a combination of Bayesian statistical approaches and decision fusion algorithms in the current frame work. This novel strategy can be utilized to build smarter and futuristic intelligent traffic management systems.
{"title":"Decision fusion in vehicular sensor networks for intelligent traffic management","authors":"Sumi P. Potty, Sneha Jose","doi":"10.1109/ICCICCT.2014.6992990","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6992990","url":null,"abstract":"Road traffic management is an important parameter which affects quality of life. Optimization of road traffic flow would bring considerable and multi aspect gain in day today life. To manage the traffic, we need to know the density of traffic in each area. The identification of traffic zones can be done by the vehicle itself and communicate to the internet in order to reduce the cost of traffic management system. In this light, this paper presents a traffic zone identification system that can be applied for dynamic real time traffic management. The conventional methodology is to make intelligent road infrastructure which incurs capital and operational expenses for the state. If we make the vehicle intelligent and provide minimal signalling patterns in the road traffic systems, it can result in better quality intelligent traffic management system. Here the cost of the intelligent infrastructure gets distributed in the population of vehicle owners. This is an attempt to explore this potential direction. An electronic vehicular sensor network is used in this work which employs decision fusion algorithms to make intelligent decisions for zone identification. Here we demonstrated a combination of Bayesian statistical approaches and decision fusion algorithms in the current frame work. This novel strategy can be utilized to build smarter and futuristic intelligent traffic management systems.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"109 1","pages":"377-381"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84141097","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 : 2014-07-10DOI: 10.1109/ICCICCT.2014.6992919
J. Jaleel, Sibi Salim, S. Archana
Breast Cancer is one of the major health concerns of women all over the world. Computer Aided Detection (CAD) aids radiologists for the early detection of abnormalities in the breast masses. Abnormalities in the breast may be cancerous or non cancerous. This work proposes an effective CAD system that considerably reduces the misclassification rates of these abnormalities. 60 mammogram images were taken and subjected to Segmentation and Feature Extraction techniques. K-means clustering algorithm is employed for segmentation and Fast Fourier Transform has been employed for the extraction of features. The unique set of feature vectors is given to the classification module. The classification of solid masses of breast nodule is done using Supervised Classifiers Support Vector Machine (SVM) and K- Nearest Neighbor (K- NN). The investigation reveals that S VM outperforms K- NN in terms of sensitivity, specificity and accuracy.
{"title":"Computer Aided Detection of solid breast nodules: Performance evaluation of Support Vector Machine and K- Nearest Neighbor classifiers","authors":"J. Jaleel, Sibi Salim, S. Archana","doi":"10.1109/ICCICCT.2014.6992919","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6992919","url":null,"abstract":"Breast Cancer is one of the major health concerns of women all over the world. Computer Aided Detection (CAD) aids radiologists for the early detection of abnormalities in the breast masses. Abnormalities in the breast may be cancerous or non cancerous. This work proposes an effective CAD system that considerably reduces the misclassification rates of these abnormalities. 60 mammogram images were taken and subjected to Segmentation and Feature Extraction techniques. K-means clustering algorithm is employed for segmentation and Fast Fourier Transform has been employed for the extraction of features. The unique set of feature vectors is given to the classification module. The classification of solid masses of breast nodule is done using Supervised Classifiers Support Vector Machine (SVM) and K- Nearest Neighbor (K- NN). The investigation reveals that S VM outperforms K- NN in terms of sensitivity, specificity and accuracy.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79841962","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 : 2014-07-10DOI: 10.1109/ICCICCT.2014.6993105
M. Mitha, S S Shiju, Mithra Viswanadhan
Automatic seizure detection is very essential for monitoring and rehabilitation of epilepsy patients and will open up new treatment possibilities for saving the lives of epileptic patients. In recent years, many algorithms for the automatic seizure detection have been proposed and applied, in which Support vector machines proved to be a robust machine learning algorithm. The purpose of this study is to compute relevant EEG features and apply a feature selection algorithm to select an optimum set of features for use in a classification scheme for epileptic seizure detection. Thus S VM will thereby yield a better accuracy compared to other algorithms. Effective features such as energy, relative amplitude, standard deviation, coefficient of variation, fluctuation index etc are selected and then these features are fed into the support vector machine for training and classification. This algorithm makes use of Radial Basis Function Kernels for training data and thus obtains more accurate results.
自动发作检测对于癫痫患者的监测和康复非常重要，并将为挽救癫痫患者的生命开辟新的治疗可能性。近年来，人们提出并应用了许多用于癫痫自动检测的算法，其中支持向量机被证明是一种鲁棒的机器学习算法。本研究的目的是计算相关的脑电图特征，并应用特征选择算法来选择最优的特征集用于癫痫发作检测的分类方案。因此，与其他算法相比，S VM将产生更好的准确性。选择能量、相对幅值、标准差、变异系数、波动指数等有效特征，并将这些特征输入支持向量机进行训练和分类。该算法利用径向基函数核(Radial Basis Function kernel)对训练数据进行训练，得到更准确的结果。
{"title":"Automated epileptic seizure detection using relevant features in support vector machines","authors":"M. Mitha, S S Shiju, Mithra Viswanadhan","doi":"10.1109/ICCICCT.2014.6993105","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6993105","url":null,"abstract":"Automatic seizure detection is very essential for monitoring and rehabilitation of epilepsy patients and will open up new treatment possibilities for saving the lives of epileptic patients. In recent years, many algorithms for the automatic seizure detection have been proposed and applied, in which Support vector machines proved to be a robust machine learning algorithm. The purpose of this study is to compute relevant EEG features and apply a feature selection algorithm to select an optimum set of features for use in a classification scheme for epileptic seizure detection. Thus S VM will thereby yield a better accuracy compared to other algorithms. Effective features such as energy, relative amplitude, standard deviation, coefficient of variation, fluctuation index etc are selected and then these features are fed into the support vector machine for training and classification. This algorithm makes use of Radial Basis Function Kernels for training data and thus obtains more accurate results.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"28 1","pages":"1000-1004"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82088050","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 : 2014-07-10DOI: 10.1109/ICCICCT.2014.6992965
Sameer Garg
In this paper, for the first time, we propose an adaptive controller based on a new electrical element “Memristor” which will not only improve the system stability and performance, but also maintain that stability for a longer time, irrespective of different perturbation factors. Memristor changes its resistance on changing voltage or current through it which makes our proposed stability controller more flexible during runtime, compared to traditional stability controller. To illustrate this, a highly unstable plant is taken as an example which demands continuous stability for a long duration. The output results are demonstrated by simulation results and are verified by mathematical reasoning to support the unusual and unexpected characteristics.
{"title":"Analysis of memristor based model reference adaptive controller (MRACs)","authors":"Sameer Garg","doi":"10.1109/ICCICCT.2014.6992965","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6992965","url":null,"abstract":"In this paper, for the first time, we propose an adaptive controller based on a new electrical element “Memristor” which will not only improve the system stability and performance, but also maintain that stability for a longer time, irrespective of different perturbation factors. Memristor changes its resistance on changing voltage or current through it which makes our proposed stability controller more flexible during runtime, compared to traditional stability controller. To illustrate this, a highly unstable plant is taken as an example which demands continuous stability for a long duration. The output results are demonstrated by simulation results and are verified by mathematical reasoning to support the unusual and unexpected characteristics.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"2012 1","pages":"251-255"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87718278","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 : 2014-07-10DOI: 10.1109/ICCICCT.2014.6993080
Priya P. Sajan, S. Sushanth Kumar
Image segmentation is a computationally expensive and complex task that continuously focuses on performance challenges due to tremendous increase in the volume of high resolution images. Nowadays, shared memory multicore parallel programming architectures using OpenMP is emerging as an attractive computing platform for both general purpose and scientific computations due to their immense processing performance, less complexity and minimal cost. Faster execution of image segmentation process is emerging as an important criterion with the technical advancements in multicore architectures. This paper proposes an experimental method for parallelizing wavelet based image segmentation using OpenMP. Emphasis is also made on exploring the computational data and task parallelism in wavelet based image segmentation using OpenMP on shared memory architecture with promising processing speed and accurate segmentation result.
{"title":"Experimental study on parallel wavelet based image segmentation using OpenMP","authors":"Priya P. Sajan, S. Sushanth Kumar","doi":"10.1109/ICCICCT.2014.6993080","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6993080","url":null,"abstract":"Image segmentation is a computationally expensive and complex task that continuously focuses on performance challenges due to tremendous increase in the volume of high resolution images. Nowadays, shared memory multicore parallel programming architectures using OpenMP is emerging as an attractive computing platform for both general purpose and scientific computations due to their immense processing performance, less complexity and minimal cost. Faster execution of image segmentation process is emerging as an important criterion with the technical advancements in multicore architectures. This paper proposes an experimental method for parallelizing wavelet based image segmentation using OpenMP. Emphasis is also made on exploring the computational data and task parallelism in wavelet based image segmentation using OpenMP on shared memory architecture with promising processing speed and accurate segmentation result.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"54 1","pages":"866-870"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86886592","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 : 2014-07-10DOI: 10.1109/ICCICCT.2014.6993027
Pratibha Shingare, S. Kale
Cartosat-1 is stereo satellite launched in May 2005 for analysis of Indian terrain. Most effective application of cartosat-1 data is creation of Digital elevation models from stereo pair. Cartosat-1 operated in different modes like Normal Mode, Reverse Pitch Mode & Wide Mono-mode. Pitch bias plays significantly important role in detection of modes of cartosat-1. DEMs are generated for Pune area by using stereo images belonging to different modes of cartosat-1. The accuracy of generated data evaluated with the help of reference DEM available for Pune Area. Rational polynomial coefficients (RPC) used for Photogrammetry & DEM generation. Generated DEMs are compared by using different parameters like Standard deviation, Slope, Aspect. By combining both modes we tried to remove blunders as well as errors occurred during DEM generation. Fusion of Cartosat-1 DEM with reference DEM also carried out. DEMs generated from above stereo pairs are of type Relative DEMs i. e DEMs without GCPs.
{"title":"Analysis of different modes of cartosat-1 with the help of Digital elevation model fusion","authors":"Pratibha Shingare, S. Kale","doi":"10.1109/ICCICCT.2014.6993027","DOIUrl":"https://doi.org/10.1109/ICCICCT.2014.6993027","url":null,"abstract":"Cartosat-1 is stereo satellite launched in May 2005 for analysis of Indian terrain. Most effective application of cartosat-1 data is creation of Digital elevation models from stereo pair. Cartosat-1 operated in different modes like Normal Mode, Reverse Pitch Mode & Wide Mono-mode. Pitch bias plays significantly important role in detection of modes of cartosat-1. DEMs are generated for Pune area by using stereo images belonging to different modes of cartosat-1. The accuracy of generated data evaluated with the help of reference DEM available for Pune Area. Rational polynomial coefficients (RPC) used for Photogrammetry & DEM generation. Generated DEMs are compared by using different parameters like Standard deviation, Slope, Aspect. By combining both modes we tried to remove blunders as well as errors occurred during DEM generation. Fusion of Cartosat-1 DEM with reference DEM also carried out. DEMs generated from above stereo pairs are of type Relative DEMs i. e DEMs without GCPs.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"10 11 1","pages":"571-576"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88072054","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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