2013 International Conference on Recent Trends in Information Technology (ICRTIT)最新文献_第2页

Augmenting learning-experiences in the real world with digital technologies 利用数字技术增强现实世界的学习体验

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844210

H. Ogata

引用次数: 0

Cost aware task scheduling and core mapping on Network-on-Chip topology using Firefly algorithm 基于Firefly算法的片上网络拓扑的成本感知任务调度和核心映射

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844278

S. Umamaheswari, K. I. Kirthiga, B. Abinaya, D. Ashwin

引用次数: 2

Selecting best spectrum using multispectral palm texture 利用多光谱手掌纹理选择最佳光谱

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844204

M. Maheswari, S. Ancy, G. Suresh

{"title":"Selecting best spectrum using multispectral palm texture","authors":"M. Maheswari, S. Ancy, G. Suresh","doi":"10.1109/ICRTIT.2013.6844204","DOIUrl":"https://doi.org/10.1109/ICRTIT.2013.6844204","url":null,"abstract":"Multispectral palm print is one of the most reliable and unique Biometric. MSI have faster acquisition time and better quality images than normal images. The advantages of the proposed method include better hygiene and higher verification performance. In this we proposed Local binary Pattern (LBP) based histogram for multispectral palm print representation and to choose the best spectrum for authentication. Here the central part of the palm print image is resized to the size of 180 × 180 and divided into non overlapping sub-images. The size of the sub-image various from 2×2 pixels to 90×90 pixels. The histogram is obtained for each block and the values are used for comparison. Totally 36 images per person are taken from standard database available. Training set is prepared with the help of 2 images from each spectrum. Results are checked against remaining images in authentication mode. Results are represented in terms of Genuine acceptance rate(%). Most of the palm print recognition systems use white light to acquire Images. This study analyzes the palm print recognition performance under six different illuminations, including the white light. The experimental results with a large database show that white light is not the optimal illumination, while 700nm light could achieve higher palm print recognition accuracy than the white light. In authentication mode 98% recognition rate is obtained for the spectrum 700nm. The experiment was conducted for six spectrums like 460,630,700,850,940nm, White Light. We use the CASIA-MS-Palmprint V1 database of size 7200 images collected by the Chinese Academy of Sciences' Institute of Automation (CASIA).","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134324481","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: 1

Optimizing fuzzy search in XML using efficient trie indexing structure 使用高效的trie索引结构优化XML中的模糊搜索

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844253

S. Chandragandhi, L. Nithya

引用次数: 3

A secured cloud storage technique to improve security in cloud infrastructure 一种安全的云存储技术，用于提高云基础设施的安全性

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844187

M. S. Kumar, M. Kumar

{"title":"A secured cloud storage technique to improve security in cloud infrastructure","authors":"M. S. Kumar, M. Kumar","doi":"10.1109/ICRTIT.2013.6844187","DOIUrl":"https://doi.org/10.1109/ICRTIT.2013.6844187","url":null,"abstract":"Security in cloud computing is considered to be the most challenging research domain where most of the solutions remain vulnerable. Availability of data in cloud to every other components of cloud made it difficult to protect it from external sources. The risk of malicious insiders in cloud and failing of cloud services have received a strong attention from many companies. Security ensures confidentiality, integrity and availability. Security has the characteristics of a complement to reliability. This work proposes a new system where data can be stored with high security using Storage Efficient Secret Sharing Algorithm (SESS) implemented using Shamir's Secret Sharing (SSS) approach. This approach ensures that security for data can be achieved by splitting data into K number of parts and need of every partition of data to construct original data proves that this algorithm is computationally strong against any attack. Implementing SSS approach for application processing, is computationally inefficient. This paper presents a detailed implementation of SESS using SSS approach with Dynamic Software Module (DSM) to secure data stored in cloud environment to improve security in cloud infrastructure.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130761077","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: 2

Evaluation of semantic role labeling based on lexical features using conditional random fields and support vector machine 基于条件随机场和支持向量机的词法特征语义角色标注评价

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844179

K. Ravidhaa, S. Meena, R. S. Milton

引用次数: 1

Generating relevant paths using keyword search on compact XML 在紧凑XML上使用关键字搜索生成相关路径

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844222

S. Meenakshi, R. Senthilkumar

{"title":"Generating relevant paths using keyword search on compact XML","authors":"S. Meenakshi, R. Senthilkumar","doi":"10.1109/ICRTIT.2013.6844222","DOIUrl":"https://doi.org/10.1109/ICRTIT.2013.6844222","url":null,"abstract":"The management of XML data has always been a popular research issue. A simple yet effective way to search in XML database is keyword search. In existing methods, the user has to compose query with which the relevant answers can be retrieved. These methods require the user to have prior knowledge about the data. To overcome the issues arising out of these methods, several approaches have been proposed. In this paper, Two challenges for searching the keyword in XML document has been proposed; 1) how to retrieve high answer semantics matches of the keyword queries (Top-k) 2) how to identify the relevant path for the keyword queries. To identify relevant answers over XML data streams, the Compact Lowest Common Ancestors (CLCAs) are used. We use a compact storage structure (QUICX) system which is efficient both in compression and storage with indexing features for efficient querying. Experiments were carried out using benchmark datasets such as geographical dataset (mondial) and bibliographic dataset (DBLP). In order to prove the effectiveness of the proposed system, it is compared against the existing system with respect to time taken for retrieval and the proposed system achieves about 63.3% of improvement over the keyword search in XML document in terms of time taken for retrieval.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124599855","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: 1

Cognitive inspired optimal routing of OLSR in VANET 认知启发的VANET中OLSR最优路径

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844217

Thompson Stephan, K. Karuppanan

引用次数: 6

Software components prioritization using OCL formal specification for effective testing 软件组件优先级使用OCL正式规范进行有效的测试

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844288

A. Jalila, D. Mala

引用次数: 3

Modified BPS algorithm based on shearlet transform for noisy images 基于shearlet变换的噪声图像改进BPS算法

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844237

M. Nishanthi, J. J. Nayahi

{"title":"Modified BPS algorithm based on shearlet transform for noisy images","authors":"M. Nishanthi, J. J. Nayahi","doi":"10.1109/ICRTIT.2013.6844237","DOIUrl":"https://doi.org/10.1109/ICRTIT.2013.6844237","url":null,"abstract":"Most of the medical and nuclear images contain visual noise. Due to the presence of noise, the images can't be examined properly. So, there is a necessity to avoid the noise in order to provide better quality images along with the better compression efficiency for efficient storage and transmission. Block Based Pass Parallel SPIHT (BPS) is widely used for compression because of its high processing speed. It is possible by decomposing the wavelet transformed image into 4×4 bit-blocks and the decomposed blocks are encoded simultaneously in all the bit planes hence the speed is very high. However, the major drawback is the slight degradation in the PSNR value and visual quality. To overcome this drawback, a modified BPS algorithm is proposed which replaces wavelet with Shearlet because shearlet provides multi directional information and it also used to detect the geometrical features like edges. LLSURE technique is appliedbefore transformation to remove the noise induced in the image. It is preferred because of its high edge preserving capability. Experimental results demonstrate the effectiveness of the LLSURE filter and the shearlet transform in the BPS algorithm. It shows that the PSNRvalue is very effective for images corrupted with Gaussian noise when compared to other noisy images.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133769479","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: 1