2014 International Conference on Recent Trends in Information Technology最新文献_第9页

Efficient host based intrusion detection system using Partial Decision Tree and Correlation feature selection algorithm 基于部分决策树和相关特征选择算法的高效主机入侵检测系统

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996115

F. Lydia Catherine, Ravi Pathak, V. Vaidehi

引用次数: 11

Nature - Inspired enhanced data deduplication for efficient cloud storage 自然-启发增强的重复数据删除，用于高效的云存储

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996211

G. Madhubala, R. Priyadharshini, P. Ranjitham, S. Baskaran

{"title":"Nature - Inspired enhanced data deduplication for efficient cloud storage","authors":"G. Madhubala, R. Priyadharshini, P. Ranjitham, S. Baskaran","doi":"10.1109/ICRTIT.2014.6996211","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996211","url":null,"abstract":"Cloud Computing is the delivery of computing as a service, which is specifically involved with Storage of data, enabling ubiquitous, convenient access to shared resources that are provided to computers and other devices as a utility over a network. Storage, which is considered to be the key attribute, is hindered by the presence of redundant copies of data. Data Deduplication is a specialized technique for data compression and duplicate detection for eliminating duplicate copies of data to make storage utilization efficient. Cloud Service Providers currently employ Hashing technique so as to avoid the presence of redundant copies. Apparently, there are a few major pitfalls which can be vanquished through the employment of a Nature - Inspired, Genetic Programming Approach, for deduplication. Genetic Programming is a systematic, domain - independent programming model making use of the ideologies of biological evolution so as to handle a complicated problem. A Sequence Matching Algorithm and Levenshtein's Algorithm are used for Text Comparison and then Genetic Programming concepts are utilized to detect the closest match. The performance of these three algorithms and hashing technique are compared. Since bio-inspired concepts, systems and algorithms are found to be more efficient, a Nature-Inspired Approach for data deduplication in cloud storage is implemented.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124765775","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: 5

Efficient fingerprint lookup using Prefix Indexing Tablet 高效的指纹查找使用前缀索引平板电脑

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996158

D. Priyadharshini, J. Angelina, K. Sundarakantham, S. Shalinie

引用次数: 0

Grouping in collaborative e-learning environment based on interaction among students 协作式电子学习环境中基于学生互动的分组

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996170

D. Jagadish

{"title":"Grouping in collaborative e-learning environment based on interaction among students","authors":"D. Jagadish","doi":"10.1109/ICRTIT.2014.6996170","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996170","url":null,"abstract":"Collaborative learning is an online classroom can take the form of conversation between the whole classes or within smaller groups. Moodle (Modular Object-Oriented Dynamic Learning Environment) is a free and open source e-learning software platform, also known as a Learning Management System, or Virtual Learning Environment (VLE). As a web-based tool, Moodle offers the possible way to deliver courses which include an enormous variety of information sources - links to multimedia, websites and image - which are hard to deliver in a traditional teaching atmosphere. The converse (chat) activity module in moodle allows participants to encompass a realtime synchronous discussion in a moodle course. A teacher can organize users into groups within the course or within particular activities. This paper aims in efficient group formation of learners in a collaborative learning environment so that every individual in the group is benefitted. As a testing platform tenth standard Tamil text book is incorporated in to moodle. In this paper K-NN clustering algorithm is used to improve the group performance. This algorithm achieves good performance in terms of balancing the knowledge level among all the students.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122796318","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: 18

Application of Natural Language Processing in Object Oriented Software Development 自然语言处理在面向对象软件开发中的应用

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996121

Abinash Tripathy, S. Rath

引用次数: 6

Throughput analysis of different traffic distribution in Cognitive Radio Network 认知无线网络中不同业务分布的吞吐量分析

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996210

P. Bharathi, K. K. Raj, Hiran Kumar Singh, Dhananjay Kumar

引用次数: 2

Game theoretical approach for improving throughput capacity in wireless ad hoc networks 提高无线自组织网络吞吐量的博弈论方法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996152

S. Suman, S. Porselvi, L. Bhagyalakshmi, Dhananjay Kumar

引用次数: 3

An Enhanced Adaptive Scoring Job Scheduling algorithm for minimizing job failure in heterogeneous grid network 基于自适应计分的异构网格网络作业调度算法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996161

S. K. Aparnaa, K. Kousalya

{"title":"An Enhanced Adaptive Scoring Job Scheduling algorithm for minimizing job failure in heterogeneous grid network","authors":"S. K. Aparnaa, K. Kousalya","doi":"10.1109/ICRTIT.2014.6996161","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996161","url":null,"abstract":"Grid computing involves sharing data storage and coordinating network resources. The complexity of scheduling increases with heterogeneous nature of grid and is highly difficult to schedule effectively. The goal of grid job scheduling is to achieve high system performance and match the job to the appropriate available resource. Due to dynamic nature of grid, the traditional job scheduling algorithms First Come First Serve (FCFS) and First Come Last Serve (FCLS) does not adapt to the grid environment. In order to utilize the power of grid completely and to schedule jobs efficiently many existing algorithms have been implemented. However the existing algorithms does not consider the memory requirement of each cluster which is one of the main resource for scheduling data intensive jobs. Due to this the job failure rate is also very high. To provide a solution to that problem Enhanced Adaptive Scoring Job Scheduling algorithm is introduced. The jobs are identified whether it is data intensive or computational intensive and based on that the jobs are scheduled. The jobs are allocated by computing Job Score (JS) along with the memory requirement of each cluster. Due to the dynamic nature of grid environment, each time the status of the resources changes and each time the Job Score(JS) is computed and the jobs are allocated to the most appropriate resources. The proposed algorithm minimize job failure rate and makespan time is also reduced.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117030131","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

Hand based multibiometric authentication using local feature extraction 基于局部特征提取的手部多重生物特征认证

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996136

B. Bhaskar, S. Veluchamy

引用次数: 18

Multimodal biometric recognition using sclera and fingerprint based on ANFIS 基于ANFIS的巩膜指纹多模态生物识别

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996159

M. Pallikonda Rajasekaran, M. Suresh, U. Dhanasekaran

{"title":"Multimodal biometric recognition using sclera and fingerprint based on ANFIS","authors":"M. Pallikonda Rajasekaran, M. Suresh, U. Dhanasekaran","doi":"10.1109/ICRTIT.2014.6996159","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996159","url":null,"abstract":"Biometrics is the ID of humans utilizing intrinsic physical, biological, otherwise activity features, traits, or habits. Biometrics has the potential to provide this desired ability to clearly and discretely determine a person's identity with additional accuracy and security. Biometric systems primarily based on individual antecedent of advice which is referred as unimodal frameworks. Even though some unimodal frameworks (e.g. Palm, Finger impression, Face, Iris), have got significant change in consistency plus precision yet has experienced selection issues attributable to non-all-inclusiveness of biometrics attributes, vulnerability to biometric mocking and insufficient exactness created by boisterous information as their inconveniences. In future, single biometric framework might not be in a position to accomplish the wanted execution prerequisite in genuine world provisions. To defeat these issues, we have to utilize multimodal biometric confirmation frameworks which blend data from various modalities to make a choice. Multimodal biometric confirmation framework utilize use more than one human modalities such as face, iris, retina, sclera and fingerprint etc. to improve their security of the method. In this approach, combined the biometric traits of sclera and fingerprint for addressing authentication issues, which has not discussed and implemented earlier. The fusion of multimodal biometric system helps to reduce the system error rates. The ANFIS model consolidated the neural system versatile capacities and the fluffy rationale qualitative strategy will have low false dismissal degree contrasted with neural network and fluffy rationale qualitative frame work. The combination of multimodal biometric security conspires in the ANFIS will show higher accuracy come close with Neural Network and Fuzzy Inference System.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127040851","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