2012 International Conference on Recent Trends in Information Technology最新文献_第3页

Unscented particle filter in road extraction from high resoltuion satellite images 高分辨率卫星图像道路提取中的无气味粒子滤波

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206783

J. Subash

{"title":"Unscented particle filter in road extraction from high resoltuion satellite images","authors":"J. Subash","doi":"10.1109/ICRTIT.2012.6206783","DOIUrl":"https://doi.org/10.1109/ICRTIT.2012.6206783","url":null,"abstract":"A typical way to update map is to compare recent satellite images with existing map data, detect new roads and add them as cartographic entities to the road layer. At present image processing and pattern recognition are not robust enough to automate the image interpretation system feasible. For this reason we have to develop image interpretation systems that rely on human guidance. More importantly road maps require final checking by a human due to the legal implementations of error. Our proposed technique is applied to Indian Remote Sensing and IKONOS satellite images using Unscented Particle Filter. Unscented particle filter is used for tracing the median axis of the single road segment. The Extended Kalman Filter is probably the most widely used estimation algorithm for road tracking. However, more than 35 years of experience in the estimation community has shown that is difficult to implement and is difficult to tune. To overcome this limitation, Unscented particle filter is introduced in road tracking which is more accurate, easier to implement, and uses the same order of calculations as linearization. The principles and algorithm of unscented kalman filter and unscented particle filter were also discussed. The core of our system is based on profile matching. Unscented Particle filter traces the road beyond obstacles and tries to find the continuation of the road finding all road branches initializing at the road junction. The completeness and correctness of road tracking from the Indian Remote Sensing and IKONOS images were also compared.","PeriodicalId":191151,"journal":{"name":"2012 International Conference on Recent Trends in Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130320488","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

Semi-supervised document clustering using Seeds affinity propagation and consensus algorithm in multi-domain settings 基于种子亲和性传播和一致性算法的半监督文档聚类

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206802

R. Radha, T. T. Mirnalinee, T. Trueman

{"title":"Semi-supervised document clustering using Seeds affinity propagation and consensus algorithm in multi-domain settings","authors":"R. Radha, T. T. Mirnalinee, T. Trueman","doi":"10.1109/ICRTIT.2012.6206802","DOIUrl":"https://doi.org/10.1109/ICRTIT.2012.6206802","url":null,"abstract":"Domain adaptation is the process of transferring the knowledge to a different domain from a source domain but they are related. In this paper, we first apply `Consensus Regularization' based algorithm to merge multiple source domain to a single source domain. Then we propose multi-domain adaptation in document clustering using Seeds affinity propagation and Consensus Regularization Algorithm. A semi-supervised document clustering algorithm, called Seeds Affinity Propagation (SAP) is applied based on an effective clustering algorithm Affinity Propagation (AP). The labeled and unlabeled documents are preprocessed through various processes such as stop words removal, word stemming and finding word frequency and given as the input. After pre-processing, structured documents are obtained. Tri-set Computation, a feature extraction technique is used to find out the features through Co-feature set, Unilateral feature set and Significant Co-feature set methods. Then calculate the similarity measure of the documents and assigning the label to the documents if they are matched. Finally clustered documents are obtained through seeds affinity propagation via similarity measurement. Further the performance of the algorithm can be evaluated and improved.","PeriodicalId":191151,"journal":{"name":"2012 International Conference on Recent Trends in Information Technology","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114985565","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

Sensor based decision making inference system for remote health monitoring 基于传感器的远程健康监测决策推理系统

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206773

V. D. Poorani, K. Ganapathy, V. Vaidehi

{"title":"Sensor based decision making inference system for remote health monitoring","authors":"V. D. Poorani, K. Ganapathy, V. Vaidehi","doi":"10.1109/ICRTIT.2012.6206773","DOIUrl":"https://doi.org/10.1109/ICRTIT.2012.6206773","url":null,"abstract":"Fall occurring in older people is of major concern in medical environment as they are more prone to unexpected and unpredictable falls. Such falls often leads to injury and death in elderly. Hence, an automated fall detection mechanism using multiple sensing and event detection methods are required to analyze the activities of elderly. This paper presents a system considering 3-axis accelerometer sensor to detect the fall in home environment. Intelligent modeling technique such as ANFIS (Adaptive Neuro-Fuzzy Inference System) classifier is employed in this paper to detect the fall with reduced computational complexity and more accuracy. Using ANFIS, the data obtained from 3-axis accelerometer is classified under one of the five states (standing, sitting, walking, falling and lying) and backpropogation method is used for weight updation. Weighted average method which provides crisp value is used for de-fuzzification process. Features such as mean, median and standard deviation are considered for training the neural network. When the activity is recognized as fall, the patient heart rate and ECG are examined to detect abnormality and alarm is raised.","PeriodicalId":191151,"journal":{"name":"2012 International Conference on Recent Trends in Information Technology","volume":"107 48","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113945629","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: 13

Non linear optimum filter based smoothing Interacting Multiple Model for GPS navigation system 基于非线性最优滤波的GPS导航系统平滑交互多模型

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206794

M. Malleswaran, V. Vaidehi, H. Ramesh, P. Malin Bruntha

引用次数: 1

RF propagation measurements in forest & plantation environments for Wireless Sensor Networks 无线传感器网络在森林和人工林环境中的射频传播测量

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206765

T. Rama Rao, D. Balachander, A. Nanda Kiran, S. Oscar

引用次数: 20

Adaptive task scheduling based on Multi Criterion Ant Colony Optimization in computational grids 计算网格中基于多准则蚁群优化的自适应任务调度

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206819

P. Christina, D. H. Miriam

引用次数: 8

An energy efficient wakeup schedule and power management algorithm for wireless sensor networks 一种无线传感器网络的节能唤醒调度和电源管理算法

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206755

L. Sherly Puspha Annabel, K. Murugan

{"title":"An energy efficient wakeup schedule and power management algorithm for wireless sensor networks","authors":"L. Sherly Puspha Annabel, K. Murugan","doi":"10.1109/ICRTIT.2012.6206755","DOIUrl":"https://doi.org/10.1109/ICRTIT.2012.6206755","url":null,"abstract":"The sensor network's lifetime depends mainly on the sensor node's battery power. In many of the various power saving protocols the sensor nodes will be put into sleep state when there is no transmission. These protocols do not change the awake and sleep time of the node according to its traffic load. This periodic and regular sleep and awake method of these protocols cause high latency and high energy consumption. If a host is not involved in power management it will be allowed to sleep. Therefore, to efficiently manage a sensor node's energy, there should be a power saving mechanism which also guarantees successful transmission. The sensor nodes have to wake up based on the packets that are pending in the buffer. A homogenous wakeup schedule and power management scheme is proposed to reduce the energy consumed in idle state for wireless sensor networks. This scheme consists of two algorithms namely power management and wakeup schedule algorithm. In wake up schedule algorithm each sensor node selects its own wake up time intervals based on its pending packets. In power management algorithm, an efficient power management scheme is introduced that facilitates effective communication while saving considerable amount of energy.","PeriodicalId":191151,"journal":{"name":"2012 International Conference on Recent Trends in Information Technology","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128572136","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: 13

Adaptive display virtualization and dataflow model selection (ADVADAMS) for reducing interaction latency in thin clients 用于减少瘦客户机中的交互延迟的自适应显示虚拟化和数据流模型选择(ADVADAMS)

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206834

S. Sridhar, G. Satish, G. Raja, S. Ramachandran

{"title":"Adaptive display virtualization and dataflow model selection (ADVADAMS) for reducing interaction latency in thin clients","authors":"S. Sridhar, G. Satish, G. Raja, S. Ramachandran","doi":"10.1109/ICRTIT.2012.6206834","DOIUrl":"https://doi.org/10.1109/ICRTIT.2012.6206834","url":null,"abstract":"The advent of cloud computing has driven away the notion of having sophisticated hardware devices for performing computing intensive tasks. This feature is very essential for resource-constrained devices. In mobile cloud computing, it is sufficient that the device be a thin client i.e. which concentrates solely on providing a graphical user interface to the end-user and the processing is done in the cloud. We focus on adaptive display virtualization where the display updates are computed in advance using synchronization techniques and classifying the job as computationally intensive or not based on the complexity of the program and the interaction pattern. Based on application, the next possible key-press is identified and those particular frames are pre-fetched into the local buffer. Based on these two factors, a decision is then made whether to execute the job locally or in the cloud or whether we must take the next frame from the local buffer or pull it from server. Jobs requiring greater interaction are executed locally in the mobile to reduce interaction delay. If a job is to be executed in the cloud, then the results of the processing alone are sent via the network to the device. The parameters are varied in runtime based on network conditions and application parameters to minimise the interaction delay.","PeriodicalId":191151,"journal":{"name":"2012 International Conference on Recent Trends in Information Technology","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116206651","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

A performance study of uplink scheduling in WiMAX network WiMAX网络中上行调度的性能研究

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206804

K. Sankarasubramaniam, S. Subramanian

引用次数: 7

An ontology model for mapping the user request to select web services 用于将用户请求映射到选择的web服务的本体模型

2012 International Conference on Recent Trends in Information Technology Pub Date : 2012-04-19 DOI: 10.1109/ICRTIT.2012.6206801

S. Sivaraman, P. Pabitha, M. Rajaram

引用次数: 1