2015 International Conference on Advanced Computing and Communication Systems

5-7 Jan. 2015

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  • [Back cover]

    Publication Year: 2015, Page(s): c4
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  • [Front cover]

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  • [Spine art]

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  • [Copyright notice]

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  • [Title page]

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  • Table of contents

    Publication Year: 2015, Page(s):1 - 6
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  • Advertisement

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  • Best Paper awards

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  • [Blank page]

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  • Key note address title: Internet of Things (IoT)

    Publication Year: 2015, Page(s): 1
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    These keynote speeches discuss the following: Internet of Things (IoT) and Emerging Cellular Technologies. View full abstract»

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  • Future events

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  • Author index

    Publication Year: 2015, Page(s):1 - 7
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  • Subject index

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  • Info authors

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  • Societies inauguration report

    Publication Year: 2015, Page(s):1 - 3
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  • Contributor listings

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  • Reviewer name list

    Publication Year: 2015, Page(s):1 - 3
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  • Staff list

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  • Heuristic and meta-heuristic workflow scheduling algorithms in multi-cloud environments — A survey

    Publication Year: 2015, Page(s):1 - 5
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (190 KB) | HTML iconHTML

    Cloud computing recent emanation has drastically diversified everyone's perception of software delivery, infrastructure architectures, application development and deployment models. It is a new touchstone preceding the enterprise application development that can effectively expedite and facilitate the execution of various workflows in business process management system. Workflow is an automation o... View full abstract»

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  • Monitoring of Lupus disease using Decision Tree Induction classification algorithm

    Publication Year: 2015, Page(s):1 - 6
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (460 KB) | HTML iconHTML

    Lupus is autoimmune heterogeneous disease and also a multi system disorder which predominantly affects women. There is no specific diagnostic test to predict Lupus and the diagnosis remains a clinical one, depends on a combination of clinical and laboratory features. Data mining is the use of sophisticated data analysis tools to discover previously unknown, hidden, valid patterns and relationships... View full abstract»

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  • Benefit of network reconfiguration on three feeder radial distribution system

    Publication Year: 2015, Page(s):1 - 6
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (326 KB) | HTML iconHTML

    Active power loss reduction in distribution system is most important for power loss minimization in distribution system which results in simple operation and planning of distribution system. The main aim of this paper is to show the active or real power loss reduction in distribution system by network reconfiguration method which can be obtained by changing the configuration of the distribution sy... View full abstract»

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  • Reliability evaluation of distribution system with Hybrid Wind/PV/Pico-Hydro Generation

    Publication Year: 2015, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (353 KB) | HTML iconHTML

    The growing depletion of natural resources, renewable energies has attracted much attention. In this paper three different models which are Wind Turbine Generator (WTG), Photo voltaic (PV) and Pico-Hydro Generator (PHG) are combined as Small Autonomous Hybrid Power System (SAHPS) for reliability evaluation, which are based on different energy sources and operation characteristics. This paper prese... View full abstract»

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  • Diabetic retinal exudates detection using machine learning techniques

    Publication Year: 2015, Page(s):1 - 5
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (357 KB) | HTML iconHTML

    Diabetic Retinopathy (DR) is an eye filled illness caused by the complication of polygenic disease and that is to be detected accurately for timely treatment. As polygenic disease progresses, the vision of a patient could begin to deteriorate and leads to blindness. In this proposed work, the presence or absence of retinal exudates are detected using machine learning (ML) techniques. To detect the... View full abstract»

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  • LDA based topic modeling of journal abstracts

    Publication Year: 2015, Page(s):1 - 5
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (342 KB) | HTML iconHTML

    Topic modeling is a powerful technique for unsupervised analysis of large document collections. Topic models conceive latent topics in text using hidden random variables, and discover that structure with posterior inference. Topic models have a wide range of applications like tag recommendation, text categorization, keyword extraction and similarity search in the broad fields of text mining, infor... View full abstract»

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  • A survey of big data in social media using data mining techniques

    Publication Year: 2015, Page(s):1 - 6
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    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (297 KB) | HTML iconHTML

    World's largest community Facebook's `Like' button pressed 2.7 billion times every day across the web revealing what people care about, such an impact of social media that internet user average almost spends 2.5 hours daily on liking, chatting, poking, tweeting on social media, which has become vast source of unstructured data. While dealing with big data it's difficult for traditional databases a... View full abstract»

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