2014 International Conference on Recent Trends in Information Technology最新文献_第3页

Human brain hubs(provincial and connector) identification using centrality measures 使用中心性测量方法识别人类大脑中心(省和连接器)

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996144

R. GeethaRamani, K. Sivaselvi

{"title":"Human brain hubs(provincial and connector) identification using centrality measures","authors":"R. GeethaRamani, K. Sivaselvi","doi":"10.1109/ICRTIT.2014.6996144","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996144","url":null,"abstract":"Human Brain can be studied and analysed using neuroimages viz. MRI(Magnetic Resonance Imaging) / fMRI(Functional Magnetic Resonance Imaging) / PET(Positron Emission Tomography) / EEG(Electroencephalography) / MEG(Magnetoencephalography), which brings out the hidden information from it. Connectomes are graph like structure which represents complex brain network connectivity which are of two type's mainly structural connectivity and functional connectivity. Connectivity can be anatomical and functional properties of the brain. Nodes are voxels or Regions of Interest whereas edges are fibre bundles, temporal correlation between regions, in structural connectome and functional connectome respectively. This work focuses on functional connectivity analysis of brain network obtained through RS- fMRI images for identification of important regions in the human brain using image processing and graph theoretical approaches. The RS-fMRI images are obtained from 1000 Functional connectomes project and preprocessed using image processing techniques. Then the image is parcellated using AAL(Automated Anatomical Labeling) atlas and binary matrix is obtained. The graph is constructed from the derived matrix that exhibits functional connectivity between ROIs(Region of Interest). The various centrality measures (degree centrality, eigenvector centrality, betweenness centrality and closeness centrality) are used to identify the ROIs that act as provincial and/or connector hubs. The prominent provincial hubs are Rolandic Operculum, Thalamus, Insula, Hippocampus, Olfactory and connector hubs are Insula, Putamen, Occipital superior gyrus, Parietal Superior gyrus and Supramarginal gyrus. This work highlights the key regions in human brain which is involved in massive communication and information flow within the network.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"31 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":"121642202","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: 11

Recommendation system to accomplish user pursuit 推荐系统实现用户追求

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996168

R. Madhu, R. Senthilkumar

引用次数: 0

Identification and eradication of mosquito breeding sites using wireless networking and electromechanical technologies 利用无线网络和机电技术查明和消灭蚊子滋生地点

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996114

P. A. Elizabeth, Manju Mohan, P. Samuel, S. Pandian, B. Tyagi

{"title":"Identification and eradication of mosquito breeding sites using wireless networking and electromechanical technologies","authors":"P. A. Elizabeth, Manju Mohan, P. Samuel, S. Pandian, B. Tyagi","doi":"10.1109/ICRTIT.2014.6996114","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996114","url":null,"abstract":"Suppression of mosquito breeding is a mandatory first step to reduce the source of major mosquito-borne diseases like Malaria and Dengue fever. This paper deals with an innovative method for the identification of mosquito breeding sites (stagnant pools), using wireless networking technologies and removal of stagnant water through electromechanical pumping systems. The stagnant water areas are first identified and reported by public users using a web-based portal or using Short Message Service (SMS) through mobile phones. Based on the complaints stored in the database, a route via the stagnant sites is drawn on a map using a Geographic Information System (GIS). A vehicle carrying a Global Positioning system (GPS), on-board camera, and a pumping system with a tank for removing the stagnant water traverses the via points of stagnant pools. Finally, stagnant water is removed using a pumping system and stored in the onboard tank for emptying later. Results of the implementation of a proof-of-concept prototype system are reported, to illustrate the effectiveness of the proposed approach.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"165 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":"130390267","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: 4

A cost effective clustering based anonymization approach for storing PHR's in cloud 在云中存储PHR的基于聚类的高效匿名方法

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996146

G. Logeswari, D. Sangeetha, V. Vaidehi

{"title":"A cost effective clustering based anonymization approach for storing PHR's in cloud","authors":"G. Logeswari, D. Sangeetha, V. Vaidehi","doi":"10.1109/ICRTIT.2014.6996146","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996146","url":null,"abstract":"As there is an increasing need to share the medical information for public health research, enormous amount of Personal Health Records (PHR's) are periodically collected and shared between two or many sources for research purpose. Sharing medical information about an individual without revealing sensitive information is the biggest challenge. Privacy and security are the two biggest obstacles for this process. Since medical information is related to human subjects, it is essential to preserve the privacy of the patients and ensure security to the medical information stored in cloud. In this paper, privacy of the shared PHR's is preserved through data anonymization and encryption algorithm. PHR's can be anonymized using various techniques such as generalization, suppression, truncation, etc., This paper focuses to provide efficient analysis of the shared PHR's by the proposed Efficient K-Means Clustering (EKMC) algorithm and to reduce the cost of data storage by the proposed Data Aggregation and Deduplication (DAD) algorithm. The EKMC algorithm is efficient and consumes less time when compared to the traditional k-means clustering algorithm. A set of performance analysis showing the effectiveness of our approach using synthetic data sets is presented.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"295 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":"132691783","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: 11

Dynamic auditing and updating services in cloud storage 云存储中的动态审计和更新服务

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996181

G. Thendral, C. Valliyammai

引用次数: 2

Ensuring truthfulness for scheduling multi-objective real time tasks in multi cloud environments 确保多云环境下多目标实时任务调度的真实性

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996183

M. Geethanjali, J. Angela, Jennifa Sujana, T. Revathi

{"title":"Ensuring truthfulness for scheduling multi-objective real time tasks in multi cloud environments","authors":"M. Geethanjali, J. Angela, Jennifa Sujana, T. Revathi","doi":"10.1109/ICRTIT.2014.6996183","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996183","url":null,"abstract":"Cloud computing provides dynamic provisioning for real time applications over the Internet. These services are accessed by number of clients as pay per use over the internet. In this scenario, scheduling the current jobs to be executed with given constraints for the real time tasks is an essential requirement. Hence task scheduling is a major challenge in cloud computing. In general, the main aim of Cloud Service Providers (CSPs) is to earn more amount of revenue. So, the providers may provide false information about their resources to gain more profit. To enforce the genuineness of information, game theory model is used. In older approaches, a scheduling algorithm is used to schedule the task with maximum estimated gain and executes the tasks in the queue. Therefore it increases the execution time of the task. This paper presents a scheduling mechanism for real time tasks to achieve timing constraint and minimum cost for the job execution. The game theory mechanism ensures that the truthful information is provided by CSPs. we found that the induced results of the proposed algorithm are effective and our simulation results outperform the traditional scheduling algorithms with multi-objective optimization.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"23 24 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":"128439236","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

Performance improvement using optimum power energy detector under noise uncertain environment in cognitive radio 基于最优功率能量检测器的认知无线电噪声不确定环境下性能改进

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996150

R. Sudharsana, R. Tharini, K. Muthumeenakshi, S. Radha

引用次数: 2

Blob based segmentation for lung CT image to improving CAD performance 基于Blob的肺CT图像分割提高CAD性能

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996157

K. Manikandan

引用次数: 1

QoS based dynamic task scheduling in IaaS cloud IaaS云中基于QoS的动态任务调度

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996176

Anbazhagi, L. Tamilselvan, Shakkeera

{"title":"QoS based dynamic task scheduling in IaaS cloud","authors":"Anbazhagi, L. Tamilselvan, Shakkeera","doi":"10.1109/ICRTIT.2014.6996176","DOIUrl":"https://doi.org/10.1109/ICRTIT.2014.6996176","url":null,"abstract":"Cloud Computing is a type of parallel and distributed system consisting of a collection of interconnected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources between the service provider and consumers. In cloud computing, many tasks are to be executed by the available services to achieve better performance, minimum total time for completion, shortest response time, utilization of resources etc. Because of these different intentions, we need to propose a scheduling algorithm to perform appropriate allocation map of tasks on resources. In existing system task scheduling algorithm have been designed based on priority and total completion time in cloud computing. The task scheduling algorithm first computes the priority of the tasks based on the inputs of the users and then sorts the tasks by priority. Second, this algorithm calculates the minimum completion time of all the tasks on different resources and schedules onto a resources accordingly. The drawbacks in existing system are, it does not effectively use the idle resources. In this paper we proposed a dynamic scheduling algorithm that efficiently uses the idle time of resources from monitoring the task timing information on resources. The multi-dimensional cost matrix table is developed based on execution time, CPU usage of each tasks and current CPU usage of resources and also we have extended the deadline time value using min-max policies to complete the tasks within a earlier time period. In this paper, we have considered deadline, idle time and reliability as QoS parameters for scheduling.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"12 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":"116004537","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

Modeling and analysis of Cognitive Radio with multiple primary/Secondary users and imperfect sensing 多主/次用户和不完全感知的认知无线电建模与分析

2014 International Conference on Recent Trends in Information Technology Pub Date : 2014-04-10 DOI: 10.1109/ICRTIT.2014.6996149

P. Dhanalakshmi, S. Divya, S. Kamila, K. Muthumeenakshi, S. Radha

引用次数: 1