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姓名	吳俊杰(Chun-chieh Wu)  查詢紙本館藏	畢業系所	資訊工程學系
論文名稱	利用模糊理論為基礎之內容分析方法以維持網頁視覺連貫性之內容調適機制 (Using fuzzy-based content analysis to maintain visual coherence on content adaptation)
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摘要(中)	現今，行動上網已經越來越普及了，許多人會透過各種行動裝置上網，包括PDA或是行動電話等等。但是大部分的網頁都是針對桌上型電腦所設計的，而行動裝置的螢幕卻非常小，使用者可能因此會有瀏覽上的困難。由於這個原因，我們認為有必要提供一個服務可以自動將網頁轉換成適合行動裝置瀏覽的版本。為了這個目標，許多內容調適相關的方法已經被提出，但是在調適時，如何維持網頁內容的視覺連貫性仍然是很重要的議題，當我們調整網頁的排版時，其內容的視覺連貫性有時候會被破壞，這會讓使用者感到困擾。 在本篇論文中，我們利用模糊理論中歸納推論的方法，提出了一個內容分析方式來量化網頁的視覺連貫性，並且設計了一個以視覺連貫性為基礎的內容調適系統，VCAProxy。當此系統調適網頁時，會自動採取精確的調適策略來維持網頁的視覺連貫性。除此之外，我們的系統是建構在代理伺服器架構中，可以允許各種型態的行動裝置存取我們的系統並獲得適合行動裝置瀏覽的網頁。
摘要(英)	Currently, mobile internet becomes more and more popular. Many people will access the internet via some portable devices such as PDAs and mobile phones. But most Web pages are designed for desktop PC and the mobile device users may have difficulty of browsing the Web page because the small device screen. For this reason, it’s necessary to provide a service which can automatically transform the Web content into a better version for mobile devices. Many approaches of content adaptation have been proposed to reach this goal, but how to maintain the visual coherence of Web contents during the adaptation procedure is still an important issue. Sometimes, the visual coherence may be break when we adjust the layout of contents and this problem will confuse users. In this thesis, we propose a content analysis method to quantify the visual coherence of Web contents by fuzzy inductive reasoning, and design a visual coherence-oriented adaptation system, VCAProxy. The system can automatically decide precise adaptation strategies to maintain the visual coherence during the adaptation procedure. Moreover, we implement our system in a proxy architecture which allow all kinds of devices to access our adaptation system and acquire the adapted pages suitable for mobile devices.
關鍵字(中)	★ 網頁內容 ★ 內容分析 ★ 內容調適 ★ 行動上網 ★ 模糊理論 ★ 歸納推論	關鍵字(英)	★ mobile Internet ★ content analysis ★ Web content ★ fuzzy ★ inductive reasoning ★ content adaptation
論文目次	Chapter 1 Introduction 1.1 What is the motivation of this research? 1.2 What kind of problems to be solved? 1.3 Why are the problems significant? 1.4 Who will be interested in these problems? 1.5 How to solve the problems 1.6 Contributions of our solutions Chapter 2 Related Works 2.1 General description of Content Adaptation 2.1.1 Current research status and challenges 2.1.2 Various approaches of content adaptation 2.2 List and describe all the possible approaches for problem solving 2.2.1 Academic research 2.2.2 Industrial products 2.2.3 Comparison of various approaches 2.3 Comparison of various approaches with our approach (SWOT analysis) 2.3.1 Strength, Weakness 2.3.2 Opportunity, Threat Chapter 3 Method and Solutions 3.1 Definition, axiom, theorem 3.2 Algorithm for coherence set detection 3.2.1 Similarity quantification algorithm 3.2.2 Determine the coherence threshold 3.3 Adaptation strategy upon analysis result Chapter 4 System Implementation 4.1 Implementation environment 4.1.1 Hardware and software platforms 4.1.2 Implementation languages and tools 4.2 System architecture 4.2.1 High-level system design and analysis 4.2.2 Low-level system design and analysis 4.3 System demo 4.4 Experience learned form the implementation Chapter 5 Experiment and Discussion 5.1 Experiment design and setup 5.1.1 Experiment scenario 5.1.2 Roles, hardware, software, and network requirements setup 5.2 Quantitative evaluation 5.2.1 Precision 5.2.2 Results and lesson learned 5.3 Qualitative evaluation 5.3.1 Questionnaire design and survey 5.3.2 Performance comparison with and without our approach 5.3.3 Performance comparison with other related approaches 5.3.4 Discussion and observation Chapter 6 Conclusion and Future Work References
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指導教授	楊鎮華	審核日期	2008-7-3
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