2015 International Conference on Communication, Information & Computing Technology (ICCICT)最新文献

Fractal image compression using genetic algorithm with ranking select mechanism 基于排序选择机制的遗传算法对分形图像进行压缩

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045731

A. N. Kulkarni, S. Gandhe, P. Dhulekar, G. Phade

引用次数: 5

Energy thresholding based sub-band elimination DWT scheme for image compression 基于能量阈值的子带消去DWT图像压缩方法

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045711

Afshan Mulla, Jaypal Baviskar, Pavankumar Borra, Sunita Yadav, Amol Baviskar

引用次数: 6

Virtualization of Wireless Sensor Network with efficient power saving scheme 具有高效节能方案的无线传感器网络虚拟化

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045671

Shital Vaibhavraj Gharge, Srinu Dharavath

{"title":"Virtualization of Wireless Sensor Network with efficient power saving scheme","authors":"Shital Vaibhavraj Gharge, Srinu Dharavath","doi":"10.1109/ICCICT.2015.7045671","DOIUrl":"https://doi.org/10.1109/ICCICT.2015.7045671","url":null,"abstract":"Wireless Sensor Network (WSN) has gained more importance in current era and given contribution on broad range of commercial applications. These networks consists of small, battery powered sensors communicating with each other to monitor the environment forming a network with ease of deployment where wired infrastructure is too expensive and difficult to deploy. In applications like home automation, health care monitoring multivendor and heterogeneous sensor nodes are deployed. For such applications virtualization in sensor network (VSN) may provide flexibility, ensure security and increase manageability. WSN implies various challenges in design and operations as major fact that sensor nodes run out of energy quickly has been an issue. So for energy consumption, better and improved clustering routing protocols are needed. This Paper surveys novel approach of using virtual sensor architecture and also presents improved clustering algorithm as efficient power saving scheme. Simulation results indicate superior performance of improved clustering algorithm in energy consumption and VSN approach reduces overall cost and complexity.","PeriodicalId":324889,"journal":{"name":"2015 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124537331","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}

引用次数: 6

Image transmission over OFDM system using trigonometric transforms 利用三角变换的OFDM系统图像传输

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045690

Nasheet Fatima

引用次数: 6

Performance comparison of different operating systems in the private cloud with KVM hypervisor using SIGAR framework 使用SIGAR框架对私有云中不同操作系统与KVM管理程序的性能进行比较

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045680

P. V. V. Reddy, L. Rajamani

{"title":"Performance comparison of different operating systems in the private cloud with KVM hypervisor using SIGAR framework","authors":"P. V. V. Reddy, L. Rajamani","doi":"10.1109/ICCICT.2015.7045680","DOIUrl":"https://doi.org/10.1109/ICCICT.2015.7045680","url":null,"abstract":"Hypervisors enable multiple operating systems to run above it with the help of virtualization technique by sharing underlying physical resources. KVM hypervisor uses hybrid virtualization technique i.e., it uses full virtualization technique along with hardware assisted virtualization. It is motivating to analyse different Operating Systems (OSs) performance in the Private Cloud with KVM hypervisor. We have chosen three guest operating systems, namely Windows 2008 R2, Red Hat Enterprise Linux 5 (RHEL 5) and Ubuntu 10.04 Lucid Lynx (all are 64-bit) for the experimentation in the private cloud which is created using CloudStack. The three Operating Systems (OSs) are prudently chosen to represent three categories (Hardware virtualized guest or Hardware Virtual Machine (HVM), para-virtualized commercial guest and para-virtualized free guest). The performances of three Operating Systems have been planned to evaluate by creating low, medium and high workloads. The Operating Systems are compared by performance tests of CPU utilization, memory management, disk activity, and network communication. Important System information is gathered using SIGAR framework on the respective guest Operating System on KVM hypervisor.","PeriodicalId":324889,"journal":{"name":"2015 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123452362","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}

引用次数: 6

Bimodal biometric identification with Palmprint and Iris traits using fractional coefficients of Walsh, Haar and Kekre transforms 基于Walsh, Haar和Kekre变换分数系数的掌纹和虹膜特征双峰识别

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045729

Sudeep D. Thepade, Rupali K. Bhondave

{"title":"Bimodal biometric identification with Palmprint and Iris traits using fractional coefficients of Walsh, Haar and Kekre transforms","authors":"Sudeep D. Thepade, Rupali K. Bhondave","doi":"10.1109/ICCICT.2015.7045729","DOIUrl":"https://doi.org/10.1109/ICCICT.2015.7045729","url":null,"abstract":"Biometric identification verifies user identity by comparing an encoded value with a stored value of the concerned biometric characteristic. Multimodal person authentication system is more effective and more challenging. The fusion of multiple biometric traits helps to minimize the system error rate. The benefit of energy compaction of transforms in higher coefficients is taken here to reduce the feature vector size of image by taking fractional coefficients of transformed image. Smaller feature vector size results as less time for comparison of feature vectors resulting in faster identification. Iris and Palmprint are together taken here for bimodal biometric identification with fractional energy of Kekre, Walsh and Haar transformed Palm and Iris images. The test beds of 60 pairs of Iris and Palmprint samples of 10 persons (6 per person of iris as well asPalmprint) are used as test bed for experimentation. Experimental result that the show fractional coefficients perform better as indicatedby higher GAR values over consideration of 100% coefficients. In Walsh and haar transforms the bimodal identification of iris and Palmprint could not perform better than individual consideration of alone Palmprint but perform better than Iris. In Kekre transform bimodal with Palmprint and Iris has shown improvement in performance.","PeriodicalId":324889,"journal":{"name":"2015 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124830659","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}

引用次数: 14

Image compression using improvised column based Thepade's Cosine Error Vector Rotation (TCEVR) Codebook generation in Vector Quantization 基于随机列的矢量量化中thepage余弦误差矢量旋转(TCEVR)码本生成的图像压缩

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045730

Sudeep D. Thepade, Lokesh S. Katore

引用次数: 3

Novel data mining based image classification with Bayes, Tree, Rule, Lazy and Function Classifiers using fractional row mean of Cosine, Sine and Walsh column transformed images 基于贝叶斯、树、规则、懒分类器和函数分类器的基于余弦、正弦和沃尔什列变换图像的分数行平均值的新型数据挖掘图像分类

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045727

Sudeep D. Thepade, Madhura Kalbhor

{"title":"Novel data mining based image classification with Bayes, Tree, Rule, Lazy and Function Classifiers using fractional row mean of Cosine, Sine and Walsh column transformed images","authors":"Sudeep D. Thepade, Madhura Kalbhor","doi":"10.1109/ICCICT.2015.7045727","DOIUrl":"https://doi.org/10.1109/ICCICT.2015.7045727","url":null,"abstract":"Important task in image database is to organize images into appropriate category using different features of images. Image classification is studied for many years. There are various techniques proposed to increase the accuracy of classification. In this paper a novel data mining based approach is proposed for content based image classification. Feature extraction and classification algorithms are two main steps in classification process. This paper proposes the use of orthogonal transform to generate the feature vector and to investigate effectiveness of different transforms (Cosine, Sine, and Walsh). Experimentation is carried on different sizes of feature vectors which are formed by taking fractional coefficients. Classification algorithm from different families such as Bayes (Naive Bayes and Bayes Net), Function (RBFNetwork and Simple Logistic), Lazy (IB1 and Kstar), Rule (Decision and Part) and Tree (BFTree, J48 Random Tree and Random Forest) are used for classification. Experimental results and its analysis have shown the Simple Logistic classifier with Walsh transform to be better for proposed data mining based image classification technique.","PeriodicalId":324889,"journal":{"name":"2015 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129946567","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}

引用次数: 16

Probabilistic triangular shuffling approach in DWT based image compression scheme 基于小波变换的概率三角变换图像压缩方法

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045658

Afshan Mulla, Jaypal Baviskar, Swapnil Wagh, Neha Kudu, Amol Baviskar

{"title":"Probabilistic triangular shuffling approach in DWT based image compression scheme","authors":"Afshan Mulla, Jaypal Baviskar, Swapnil Wagh, Neha Kudu, Amol Baviskar","doi":"10.1109/ICCICT.2015.7045658","DOIUrl":"https://doi.org/10.1109/ICCICT.2015.7045658","url":null,"abstract":"In the image processing domain, researchers all over the world aim at designing algorithms which posses the feature of facilitating multiple advantages amalgamated in one scheme viz. compression, fusion, enhancement, security etc. In various classified applications such as military, medical, forensics etc, the image databases are huge and contain a lot of information. Hence, compression of these high-quality images and securing these databases becomes imperative. This paper proposes a Discrete Wavelet Transform (DWT) guided image compression as well as image security technique. The RGB color images are converted into textured images by exploiting DWT properties and thereby facilitating image compression. Since this process is reversible, the colors in the image are retrieved back from the texture patterns. In addition, the security of the image is enhanced based on a novel probabilistic triangular shuffling scheme. The overall proposed algorithm assists in achieving 67-70% compression ratio and improved security. Evaluating the performance of the algorithm, various graphs pertaining to PSNR, MSE, probability of security breach are realized.","PeriodicalId":324889,"journal":{"name":"2015 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132006503","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}

引用次数: 7

A robust technique for relational database watermarking and verification 一种可靠的关系数据库水印与验证技术

2015 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2015-02-23 DOI: 10.1109/ICCICT.2015.7045676

Swathi Melkundi, Chaitali Chandankhede

引用次数: 19