2013 International Conference on Recent Trends in Information Technology (ICRTIT)最新文献_第7页

A comprehensive presentation to XML signature and encryption 对XML签名和加密的全面介绍

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844276

A. El-Aziz, A. Kannan

引用次数: 3

Path stream group level encoding: Efficient wireless XML streaming 路径流组级编码:高效的无线XML流

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844267

P. Prabhavathy, S. Bose

{"title":"Path stream group level encoding: Efficient wireless XML streaming","authors":"P. Prabhavathy, S. Bose","doi":"10.1109/ICRTIT.2013.6844267","DOIUrl":"https://doi.org/10.1109/ICRTIT.2013.6844267","url":null,"abstract":"In this paper, we propose an efficient encoding for XML information dissemination scheme in mobile computing where conserving power and time is a critical task. We define a novel structure called Path Stream Group Level (PSGL) node for streaming XML data and selective download of XML document. A XML document may contain many elements with same name. But each element having same name with different XML tree path information can have various meaning in XML document. Therefore, our encoding scheme uses Location Path information of XML document to uniquely identify a node and groups its elements having same name and location path into PSGL node. Each PSGL node structure includes Level Number, Node Name, Location Path, Child Index, Sibling Index, Attribute Value List, Text Value List, Select Bit String (SBS) coding and SBS count. Level number helps in tuning into particular level of XML document tree where the result node of query or first predicate condition resides in Xpath expression for selective download of XML document. The indices and Value Lists helps in an efficient XML query processing. Thus PSGL encoding scheme exploits the XML document object model in terms of depth and level order tree traversals for XML parsing and streaming. Simple path query and twig pattern queries can be processed efficiently due to parent-child and siblings relationship coded in SBS coding.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128509381","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

Paraphrase identification in short texts using grammar patterns 使用语法模式解释短文本中的识别

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844249

V. Vaishnavi, M. Saritha, R. S. Milton

引用次数: 7

Slack time scheduling for managing database transactions in mobile ad-hoc networks 在移动自组织网络中管理数据库事务的松弛时间调度

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844239

B. Diwan, M. Sumalatha

引用次数: 0

Information extraction and unfilled-form structure retrieval from filled-up forms 从已填写的表单中提取信息和检索未填写的表单结构

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844219

S. Deivalakshmi, Rajasekharreddy Poreddy, P. Palanisamy, Souvik Malakar

引用次数: 1

Efficient dynamic traffic control system using wireless sensor networks 基于无线传感器网络的高效动态交通控制系统

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844280

R. Bharadwaj, J. Deepak, M. Baranitharan, V. Vaidehi

引用次数: 16

Evolutionary optimization in ANFIS for intelligent navigation system 智能导航系统中ANFIS的进化优化

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844259

N. Sivasankari, M. Malleswaran

引用次数: 0

Hybrid semantic similarity distance measures using conceptual contexts for geospatial information retrieval 基于概念上下文的混合语义相似距离度量用于地理空间信息检索

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844175

K. Saruladha, E. Thirumagal, G. Aghila

{"title":"Hybrid semantic similarity distance measures using conceptual contexts for geospatial information retrieval","authors":"K. Saruladha, E. Thirumagal, G. Aghila","doi":"10.1109/ICRTIT.2013.6844175","DOIUrl":"https://doi.org/10.1109/ICRTIT.2013.6844175","url":null,"abstract":"As the syntax based information retrieval yields very low precision, the researchers are moving to the semantic based information retrieval. The great challenge of the information retrieval system is to retrieve the related relevant information from the heterogeneous web resources. This paper aims for the retrieval of the relevant geo-spatial concepts from the geo-spatial ontology which aids application in quality testing of water and flood prediction. In the geo-spatial concept space, the retrieval of relevant geo-spatial concepts depends on the distance separating the two geo-spatial concepts and the context of the concepts. Research in geo-spatial information retrieval has used either the semantic distance between the geo-spatial concepts or the context of the concepts for computing the relevancy. This paper proposes HCC (Hybrid Conceptual Context) algorithm which aims at retrieving relevant geo-spatial concepts by considering both the semantic distance and the context on which the concepts occur in the geo-spatial space. This work computes the semantic similarity by measuring the semantic distance using Euclidean and Manhattan distance measure. This computation is carried out in two steps such as retrieval of semantically similar geo-spatial concepts and the retrieval of context dependent geo-spatial concepts. Semantic similarity computation in HCC algorithm retrieves contextually and semantically similar relevant geo-spatial concepts using Euclidean distance and Manhattan distance measures. Experiments have been done using Ordnance Survey Master Map datasource and geo-spatial ontology. The precision and recall show Manhattan based semantic similarity computation improves relevancy by 10%.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114594229","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: 0

Performance analysis of multiclass object detection using SVM classifier 基于SVM分类器的多类目标检测性能分析

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844198

A. Fathima, V. Vaidehi, Nisha Rastogi, R. Kumar, S. Sivasubramaniam

{"title":"Performance analysis of multiclass object detection using SVM classifier","authors":"A. Fathima, V. Vaidehi, Nisha Rastogi, R. Kumar, S. Sivasubramaniam","doi":"10.1109/ICRTIT.2013.6844198","DOIUrl":"https://doi.org/10.1109/ICRTIT.2013.6844198","url":null,"abstract":"Multiclass object detection is considered for detecting different object classes in a cluttered environment. Traditional approaches require applying a battery of different classifiers to the image with a large number of complex features used to detect the objects. Specialized detectors usually excel in performance, while the class-specific features increase detection accuracy, but at the expense of complexity. In this paper, an efficient method of human face and car detection using cascaded structure of independent object classifiers is proposed. The approach is based on background elimination using statistical features, followed by foreground detection using Principal component analysis (PCA) and Histogram of Gradients (HoG) with SVM classifier. For detecting the object of interest from the image, the system primarily filters the potential object area by analyzing the local histogram distribution. After background elimination, the trained classifier detects foreground using higher order parameters like PCA for human faces and HOG for cars. In this paper, the kernel function for SVM classifier, suitable for individual object classifier is analysed based upon ROC-AUC parameter. The proposed system is implemented in Matlab. The system is validated with performance metrics like precision, recall and accuracy.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122211315","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

An interdisciplinary approach to the design, development and deployment of person-centered accessible technologies 设计、开发和部署以人为本的无障碍技术的跨学科方法

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI: 10.1109/ICRTIT.2013.6844294

S. Panchanathan, T. McDaniel, V. Balasubramanian

{"title":"An interdisciplinary approach to the design, development and deployment of person-centered accessible technologies","authors":"S. Panchanathan, T. McDaniel, V. Balasubramanian","doi":"10.1109/ICRTIT.2013.6844294","DOIUrl":"https://doi.org/10.1109/ICRTIT.2013.6844294","url":null,"abstract":"Over the last few years, significant strides have been made toward enhancing the naturalness and acceptance of multimedia systems through the principles of Human-Centered Multimedia Computing (HCMC), a field of computational science where user needs, expectations, adoption and adaptation preferences guide interface and system design. While progress has greatly benefited the broader “able” population, those with disabilities are largely ignored, and must often force-fit available solutions or wait for add-on features that only partially solve usability issues. Given the diversity of disabilities, a person-centered rather than human-centered approach is needed. Previously, we proposed enriching the design philosophy of HCMC by considering perspectives from disabilities. More recently, we have proposed Person-Centered Multimedia Computing (PCMC) to emphasize individual user needs and co-adaptive systems. In this paper, we present an interdisciplinary approach to realizing person-centered accessible technologies. The basis of the approach is three complementary research thrusts: human-centered design, socio-personal dynamics, and socio-technological practices. These research thrusts are interconnected through three perspectives of disability research: technology, adaptation and policy. The results of several case studies will be presented to highlight how this approach has aided the development of person-centered accessible technologies from early conceptualization to commercialization.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123264766","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