2014 International Conference on Recent Trends in Information Technology最新文献_第6页

Mining semantic representation from medical text: A Bayesian approach 从医学文本中挖掘语义表示:贝叶斯方法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996197

Patric Bino, Prakash, Shomona Gracia, Jacob Radhameena

引用次数: 3

Data Fusion in Wireless Sensor Network using Simpson's 3/8 rule 基于Simpson 3/8规则的无线传感器网络数据融合

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996201

G. Rajesh, B. Vinayagasundaram, G. Moorthy

引用次数: 7

Automatic Question Generation system 自动问题生成系统

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996216

P. Pabitha, M. Mohana, S. Suganthi, B. Sivanandhini

引用次数: 21

SCA - An energy efficient transmission in sensor cloud SCA -传感器云中的节能传输

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996172

S. Grace, M. Sumalatha

引用次数: 8

Detecting malicious tweets in trending topics using clustering and classification 使用聚类和分类检测趋势主题中的恶意推文

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996188

Saini Jacob, Soman Research, Murugappan

{"title":"Detecting malicious tweets in trending topics using clustering and classification","authors":"Saini Jacob, Soman Research, Murugappan","doi":"10.1109/ICRTIT.2014.6996188","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996188","url":null,"abstract":"Detection of spam Twitter social networks is one of the significant research areas to discover unauthorized user accounts. A number of research works have been carried out to solve these issues but most of the existing techniques had not focused on various features and doesn't group similar user trending topics which become their major limitation. Trending topics collects the current Internet trends and topics of argument of each and every user. In order to overcome the problem of feature extraction,this work initially extracts many features such as user profile features, user activity features, location based features and text and content features. Then the extracted text features use Jenson-Shannon Divergence (JSD) measure to characterize each labeled tweet using natural language models. Different features are extracted from collected trending topics data in twitter. After features are extracted, clusters are formed to group similar trending topics of tweet user profile. Fuzzy K-means (FKM) algorithm primarily cluster the similar user profiles with same trending topics of tweet and centers are determined to similar user profiles with same trending topics of tweet from fuzzy membership function. Moreover, Extreme learning machine (ELM) algorithm is applied to analyze the growing characteristics of spam with similar topics in twitter from clustering result and acquire necessary knowledge in the detection of spam. The results are evaluated with F-measure, True Positive Rate (TPR), False Positive Rate (FPR) and Classification Accuracy with improved detection results.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"144 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":"133355533","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: 23

Probability based road network detection in satellite images 基于概率的卫星图像路网检测

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996134

K. Maithili, K. Vani

{"title":"Probability based road network detection in satellite images","authors":"K. Maithili, K. Vani","doi":"10.1109/ICRTIT.2014.6996134","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996134","url":null,"abstract":"Road network detection is the process of detecting and extracting the road network from very high resolution satellite and aerial images. It is essential for many applications like map generation and updating. To do this road network detection, resolution of satellite and aerial images plays an important role. If experts try to label the road pixels manually, it will take more time and will lead to errors. Hence an automatic method is proposed here. Major operations of the proposed system are road network detection, estimation of road center pixel and road shape extraction. First, edge pixels are detected. Then, they are refined. Based on probability, road center pixels are estimated using edge pixels as observations. Next, road shape is extracted from the estimated center pixels using graph theory. The proposed method is tested on satellite (Quick bird and Ikonos) images. Obtained results indicate that the proposed method works well with 94% of accuracy when compared with the one existing in the literature. This work can be envisaged as a potential contribution to the science of automatic road network extraction from high resolution imagery.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"15 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":"133785938","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

Biologically inspired QoS aware routing protocol to optimize lifetime in Sensor Networks 优化传感器网络生命周期的生物QoS感知路由协议

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996123

S. Archana, N. Saravanan

{"title":"Biologically inspired QoS aware routing protocol to optimize lifetime in Sensor Networks","authors":"S. Archana, N. Saravanan","doi":"10.1109/ICRTIT.2014.6996123","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996123","url":null,"abstract":"A Wireless Sensor Network (WSN) is a self-governing network of sensor nodes organized in autonomous manner to monitor the region; connected using wireless links. Each node communicates with the other neighbor nodes, which lie in its transmission range and the entire region monitored by the combined effort of all the sensor nodes in the network, are termed as coverage area. The purpose of sensor nodes is to convey the event occurred to the base station or the sink node. Due to dynamic topology and limited network resources, sensor nodes experience a high failure rate. The ant based enhanced BiO4SeL QoS aware routing algorithm (EBiO4SeL) designed is based on the meta-heuristic approach of Ant Colony Optimization (ACO) framework, stimulated by natural ant behavior. Artificial ants are used to gather the QoS parameters such as delay, bandwidth, bit error rate, energy, signal strength etc., of the neighbor nodes. The path chosen for data transfer is computed with Path Preference Probability which satisfies all the Quality of Service (QoS) requirements. This algorithm is suitable for real time applications as it enhances node lifetime and downgrades packet loss and end to end delay. It is compared with existing BiO4SeL (Biologically-inspired Optimization for Sensor Lifetime) routing protocol.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"44 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":"134556097","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: 12

Enhancing security in Optimized Link State Routing protocol for MANET using threshold cryptography technique 利用阈值加密技术提高MANET优化链路状态路由协议的安全性

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996122

K. Tamil Selvi, S. Kuppuswami

{"title":"Enhancing security in Optimized Link State Routing protocol for MANET using threshold cryptography technique","authors":"K. Tamil Selvi, S. Kuppuswami","doi":"10.1109/ICRTIT.2014.6996122","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996122","url":null,"abstract":"The Optimized Link State Routing is a proactive link state routing protocol for Mobile Ad hoc Network. The Multipoint Relays nodes which are one-hop neighbors are used as a means for flooding of control and traffic messages into the network. The RFC 3626 does not consider the security issues. The secured OLSR framework consists of security module which provides the security with minimum overhead. The overhead is reduced by minimizing the number of Multipoint Relay nodes in the network and providing security for those selected nodes. The security is provided with the help of threshold cryptography technique. The use of threshold cryptography is to provide security measures by distributing the secret key shares and performing encryption with those shares of secrets. The share can be reconstructed using Lagrange interpolation. The destination could recover only if all or threshold numbers of the secret shares are not compromised. The share update mechanism is also aimed which provide security, when the threshold number of shares are compromised. The main aim is to provide the truthfulness of routing messages, especially Topology Control messages and hence prevent forwarding nodes from varying routing messages while forwarding them. The simulation of the above ideas also confirms the results and provides better security and performance improvement.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"11 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":"131861432","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: 9

Sphere decoding using threshold based Schnorr-Euchner enumeration in MIMO system MIMO系统中基于阈值Schnorr-Euchner枚举的球面解码

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996088

M. Karthikeyan, D. Saraswady

引用次数: 2

Integration of poses to enhance the shape of the object tracking from a single view video 整合姿势，以增强从单视图视频跟踪对象的形状

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996119

J. Hemavathy, L. Sindhia, Dhananjay Kumar

引用次数: 0