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2015 Seventh International Conference on Knowledge and Systems Engineering (KSE)

8-10 Oct. 2015

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Displaying Results 1 - 25 of 83
  • [Front cover]

    Publication Year: 2015, Page(s): C4
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  • [Title page i]

    Publication Year: 2015, Page(s): i
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  • [Title page iii]

    Publication Year: 2015, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2015, Page(s): iv
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  • Table of contents

    Publication Year: 2015, Page(s):v - ix
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  • Preface

    Publication Year: 2015, Page(s):x - xi
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  • Organizing Committee

    Publication Year: 2015, Page(s): xii
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  • Program Committee

    Publication Year: 2015, Page(s):xiii - xiv
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  • Keynote Addresses

    Publication Year: 2015, Page(s):xv - xxv
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (318 KB)

    Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • DF-AMS: Proposed Solutions for Multi-Sensor Data Fusion in Wireless Sensor Networks

    Publication Year: 2015, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB) | HTML iconHTML

    When using multiple sensor nodes in wireless sensor networks (WSNs) for monitoring (measuring) parameters of the target and sending the result to the base station (BS), data redundancy is an inevitable problem. The measured data often contains the same information, and sending redundant data to BS causes the waste of energy of sensor nodes and the risk of congestion. Multi-sensor data fusion in WS... View full abstract»

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  • Personal Authentication Using Relevance Vector Machine (RVM) for Biometric Match Score Fusion

    Publication Year: 2015, Page(s):7 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (544 KB) | HTML iconHTML

    In this paper, the authors propose a personal authentication system using a combination of both face and fingerprint features. In the proposed system, face and fingerprint features are extracted by Zernike Moment (ZM), the extracted features are classified by Relevance Vector Machine (RVM), the generated matching scores are fused using sum rule. Experimental results on the FVC2004 DB4 and ORL data... View full abstract»

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  • An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation

    Publication Year: 2015, Page(s):13 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (879 KB) | HTML iconHTML

    A system that can perform multitasking including face Detection, pose Estimation and landmark Localisation (named DEL) is a core in many face recognition-based applications. Additionally, a wide range of applications that usually require machines to understand human face expressions can be obtained such us autonomous vehicles, patient observation or human-computer interaction (HCI). Typically, a D... View full abstract»

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  • A Tree-Based, Domain-Oriented Software Architecture for Interactive Object-Oriented Applications

    Publication Year: 2015, Page(s):19 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (570 KB) | HTML iconHTML

    Model-View-Controller (MVC) is an established architectural design pattern for developing interactive, object-oriented applications. Numerous MVC-based application development approaches have been proposed in the literature, the more recent of which incorporate the domain-oriented design approach. From the architectural design view point, however, domain-oriented design has only been applied at th... View full abstract»

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  • A Domain-Oriented, Java Specification Language

    Publication Year: 2015, Page(s):25 - 30
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (479 KB) | HTML iconHTML

    In this paper, we propose a domain-oriented, Java specification language that uses executable Java's annotations to specify the state space of each domain class in the model (incl. Class, association, and domain constraint of each attribute.) We argue that, compared to the state-of-the-art, our language provides several benefits for both designer and programmer of Java programs. For designer, the ... View full abstract»

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  • Cooperative IaaS Resource Management: Policy and Simulation Framework

    Publication Year: 2015, Page(s):31 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (574 KB) | HTML iconHTML

    Resource management is one of the main services that all cloud models must ensure. This objective can be done either by the customer (using an application manager) or by the provider (with a server consolidation system). A cooperative resource management policy exploits elastic VMs and knowledge sharing between the customer and the provider in order to support splitting and merging virtual machine... View full abstract»

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  • Concept Drift Detection with Clustering via Statistical Change Detection Methods

    Publication Year: 2015, Page(s):37 - 42
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (572 KB) | HTML iconHTML

    We propose a concept drift detection method utilizing statistical change detection in which a drift detection method and the Page-Hinkley test are employed. Our method enables users to annotate clustering results without constructing a model of drift detection for every input. In our experiments using synthetic data, we evaluated our proposed method on the basis of detection delay and false detect... View full abstract»

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  • Constraint-Based MDL Principle for Semi-Supervised Classification of Time Series

    Publication Year: 2015, Page(s):43 - 48
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (221 KB) | HTML iconHTML

    We propose a constraint-based method for the self-training process in semi-supervised classification of time series. Our constraint uses the Minimum Description Length principle to decide whether the instance should be added into the positive set or not. If the Description Length decreases when adding the new instance, we accept to add it, otherwise, we reject it. After the constraint-based self-t... View full abstract»

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  • Similarity Measure among Structures of Local Government Statute Books Based on Tree Edit Distance

    Publication Year: 2015, Page(s):49 - 54
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (687 KB) | HTML iconHTML

    A similarity measure between statute books of local governments that can help reveal suggestive similarities is proposed. The regulations of a local government are stored in a statute book, and they are categorized in a layered structure. The layered structure can be described as an ordered tree in computer science, and we define the similarity of statute books as the tree edit distance between tw... View full abstract»

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  • Word Graph-Based Multi-sentence Compression: Re-ranking Candidates Using Frequent Words

    Publication Year: 2015, Page(s):55 - 60
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (212 KB) | HTML iconHTML

    Multi-Sentence Compression is a task whose goal is to produce a short single sentence summary from a group of similar sentences. This paper presents a new re-ranking method based on frequent words extraction along with our modifications on a word graph-based MSC approach to reduce incorrect output. Compression candidates are re-ranked according to the number of frequent words they contain to selec... View full abstract»

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  • Multi-relational Factorization Models for Student Modeling in Intelligent Tutoring Systems

    Publication Year: 2015, Page(s):61 - 66
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (397 KB) | HTML iconHTML

    Student Modeling is an important part of an Intelligent Tutoring System. The student model tracks information of individual student (e.g., Time spent on problems, hints requested, correct answers, etc). One of the important tasks in student modeling is predicting student performance, where the system can provide the students early feedbacks to help them improving their study results. In this work,... View full abstract»

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  • Improvement of Translation Accuracy for the Outlines of Japanese Statutes by Splitting Parenthesized Expressions

    Publication Year: 2015, Page(s):67 - 72
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (282 KB) | HTML iconHTML

    To globally share Japanese legal information, we translate the Outlines of Japanese statutes. These outlines are the official summaries of Japanese statutes and are useful to quickly understand their contents. In a previous statistical machine translation system for the outlines, we found that the training corpus consisted of both statutes and their outlines, including many long sentences that red... View full abstract»

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  • ALCLM: A Description Logic over Lattice with Concept Modifiers

    Publication Year: 2015, Page(s):73 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (255 KB) | HTML iconHTML

    We extend the description logic ALC to the description logic over lattice with concept modifiers ALCLM. We define the syntax, semantics for ALCLM and present a tableau decision procedure for the ABox consistency problem. Our logic ALCLM is able to handle vagueness on primitive concepts, primitive concepts modified by stressers or depressers, complex concepts, as we... View full abstract»

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  • Error Analysis for Vietnamese Dependency Parsing

    Publication Year: 2015, Page(s):79 - 84
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (395 KB) | HTML iconHTML

    Dependency parsing is needed in different applications of natural language processing. In this paper, we present a thorough error analysis for dependency parsing for the Vietnamese language, using two state-of-the-art parsers: MSTParser and Malt Parser. The error analysis results provide us insights in order to improve the performance of dependency parsing for the Vietnamese language. View full abstract»

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  • L2S: Transforming Natural Language Questions into SQL Queries

    Publication Year: 2015, Page(s):85 - 90
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (579 KB) | HTML iconHTML

    The reliability of a question answering system is bounded by the availability of resources and linguistic tools. In this paper, we introduce a hybrid approach to transforming natural language questions into structured queries. It alleviates the lack of experts in domain observation and the deficient performance of linguistic tools. Specifically, we exploit the semantic information for mapping natu... View full abstract»

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  • A Hybrid Feature Selection Method for Vietnamese Text Classification

    Publication Year: 2015, Page(s):91 - 96
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB) | HTML iconHTML

    Text classification is a very important task due to the huge amount of electronic documents. One of the main challenges for text classification is the high dimensionality of feature spaces. There have been extensive studies on feature selections for English text classification. However, not many works have been studied on Vietnamese text classification. This paper evaluates the performances of the... View full abstract»

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