2014 International Conference on Recent Trends in Information Technology最新文献_第7页

Online Incremental Learning Algorithm for anomaly detection and prediction in health care 医疗保健异常检测与预测的在线增量学习算法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996092

Kirthanaa Raghuraman, Monisha Senthurpandian, Monisha Shanmugasundaram, Bhargavi, V. Vaidehi

引用次数: 10

Efficient energy consumption in green cloud 绿色云节能高效

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996212

C. Valliyammai, S. Uma, B. Dhivya, P. Surya

引用次数: 6

Resource allocation issues and challenges in cloud computing 云计算中的资源分配问题和挑战

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996213

S. Selvi, C. Valliyammai, V. N. Dhatchayani

引用次数: 21

Classification of microarray data using Fuzzy inference system 基于模糊推理系统的微阵列数据分类

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996165

Mukesh Kumar, S. K. Rath

引用次数: 4

Efficient design of different forms of FIR filter 高效设计不同形式的FIR滤波器

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996204

D. Bharti, K. Gupta

引用次数: 2

Improving WLAN QoS for multimedia application using MAC and application layer (MAP) approach 采用MAC和MAP方法改进多媒体应用的无线局域网QoS

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996113

Kishan Singh, P. Jayashree

引用次数: 1

An image encryption using chaotic permutation and diffusion 一种利用混沌置换和扩散的图像加密方法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996091

T. Gopalakrishnan, S. Ramakrishnan, M. Balakumar

引用次数: 10

Face recognition system using Combined Gabor Wavelet and DCT approach 基于Gabor小波与DCT相结合的人脸识别系统

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996156

S. Ajitha, A. Fathima, V. Vaidehi, M. Hemalatha, R. Karthigaiveni

{"title":"Face recognition system using Combined Gabor Wavelet and DCT approach","authors":"S. Ajitha, A. Fathima, V. Vaidehi, M. Hemalatha, R. Karthigaiveni","doi":"10.1109/ICRTIT.2014.6996156","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996156","url":null,"abstract":"In this paper, an approach for face recognition combining multi-resolution analysis and transform domain analysis is proposed. Face Recognition system find its use in many applications such as authentication, surveillance, human-computer interaction systems etc. As the applications using face recognition systems are of much importance and demand more accuracy, more robustness in the face recognition system is expected with less computation time. In the proposed ComGW-DCT approach, features are extracted using a combination of Gabor filters and Discrete Cosine Transform (DCT). The normalised input grayscale image is approximated and reduced in dimension to lower the processing overhead for Gabor filters. This image is convolved with bank of Gabor filters with varying scales and orientations. Further DCT technique is adapted to reduce the feature space dimension. DCT extracts low frequency components of the Gabor wavelet thus resulting in the compression of Gabor features. For classification, k-Nearest Neighbour (k-NN) classifier is used to recognise the test image by comparing with each of the training set features. The ComGW-DCT approach is robust against illumination conditions as the Gabor features are illumination invariant. This algorithm also aims at better recognition rate using less number of features for varying expressions without affecting the computation time. The results of the proposed system are evaluated using AT&T database and MIT-India face database.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"34 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":"134404834","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: 8

Intrusion detection system- An efficient way to thwart against Dos/DDos attack in the cloud environment 入侵检测系统——一种在云环境中阻止Dos/DDos攻击的有效方法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996163

R. Aishwarya, Dr.S. Malliga

{"title":"Intrusion detection system- An efficient way to thwart against Dos/DDos attack in the cloud environment","authors":"R. Aishwarya, Dr.S. Malliga","doi":"10.1109/ICRTIT.2014.6996163","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996163","url":null,"abstract":"One of the emerging and glooming technologies in the IT is Cloud computing where the information is permanently stored in the third party cloud servers and cached temporarily on clients that include different devices like desktops, entertainment centers, table computers, notebooks, wall computers, sensors, etc. Internet connection is the basic requirement for accessing the cloud. Virtualization technology is another technology which goes along with the cloud environment which is used most widely to reduce the cost purchasing the hardware infrastructures in organizations. Henceforth, the Cloud Computing Systems can be easily intruded by various types of cyber attacks including Denial of Serv-ice (DoS) attack and Distributed Denial of Service (DDoS) attack which utilize the entire resources like CPU, Memory, etc and makes the server to starve. This creates a major impact reducing the efficiency of the virtual machines. In the proposed method, attack can be overcome by Transmission Control Protocol (TCP) Mitigation Strategy which uses the SYN Cookie to prevent the attack in the cloud to prevent the attack in which the server ignores the connection packets when it does not receive the correct Acknowledgement (ACK) from the client which requested the connection. The server here has rules to be check whether it is a legitimate client or the spoofed one using the first layer of security for hop count filtering mechanism and second layer of security is encoding the sequence number of the SYN packet so that only a legitimate client can decode it. Additionally security is also provided for the data packets using the Message Authentication Code (MAC) and thus client is authenticated.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"416 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":"134464622","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: 21

Effect of multi-word features on the hierarchical clustering of web documents 多词特征对web文档分层聚类的影响

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996185

S. Karthick, S. Mercy Shalinie, Ar Eswarimeena, P. Madhumitha, T. Naga Abhinaya

{"title":"Effect of multi-word features on the hierarchical clustering of web documents","authors":"S. Karthick, S. Mercy Shalinie, Ar Eswarimeena, P. Madhumitha, T. Naga Abhinaya","doi":"10.1109/ICRTIT.2014.6996185","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996185","url":null,"abstract":"Contemporary search engines and other automated web tools are faced with the task of extracting relevant information from huge web archives. This is supposed to be a difficult task due to the semi-structured and unstructured nature of the web documents. Users need automated ways of organizing and cataloging the web documents so that they can be queried efficiently. Clustering is typically employed to organize web archives and to subsequently handle user queries. This paper analyzes the effect of including multi-word features on the performance of a hierarchical clustering algorithm. Noun sequences are the predominant features considered in our work, while most of the previous research uses n-grams as features. The paper also analyzes the effect of combining link and content based representations for the web documents and their inter-relationships on the clustering performance. Empirical evaluation of the hierarchical clustering engine suggests that including multi-word features enhances the performance of the hierarchical clustering algorithm with respect to precision.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"45 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":"114057006","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: 3