於土地標售成交案例中，市場上不乏以高溢價率標得土地之案例。惟究竟土地投標人何以願意支付高出底價甚多之金額取得土地?何以部份土地溢價率相對較高，其他土地溢價率相對較低?則未能從過去之單一文獻探究。 本文透過彙整過去關於土地標售溢價率之文獻，歸納拍賣理論共同價值觀點、私人價值觀點、特徵價格理論觀點、實質選擇權理論觀點，建立土地標售溢價率之分析架構。此外，本文以新莊副都心為實證分析標的，說明該分析架構之操作方式。其中，透過列聯表分析，卡方獨立性檢定、相關係數及其檢定，驗證新莊副都心土地標售溢價率高低之成因能透過前述四大觀點切入，且影響溢價率可再歸納為受人的因素、地的特質影響。至於該實證分析衍生之政策意涵有二。第一，若以財政角度切入，政府得將待標售抵費地劃分為面積較小之土地，藉以降低進入門檻；此外，政府亦能透過加強宣傳或採第二價格密封拍賣制增加競標人數，以創造高溢價率、達到增加財政收入之目的。第二，以社會責任角度切入，政府應擬定及檢視相關政策是否能減少因得標後短期轉售土地所創造之高溢價率，以降低市場上之投機情形。 / Why do the land auction participants bid a land at a premium? While reviewing the paper about the land auctions, none of the papers can describe the high premium situation in land auction completely. This thesis constructs a framework of price premium analysis in land auctions and includes the views of auction theory, hedonic model theory and real option theory. Besides, this research presents how to analyze the price premium in land auctions with an empirical study. Using the contingency table, Pearson's chi-squared test of independence and calculating the correlation coefficient with 52 land auction data in Xinzhuang Fuduxin, there are two findings. First, we can use the points of the analyzed framework to describe the price premium. Second, the reason of the price premium can be summarizes as the factors of people and land characters. According the empirical result, there are some policy implications. First, due to the view of enhancing revenue, the government can create high premiums by dividing the land into small areas to lower the entry barrier to participate the auction. Besides, the government can have more advertisements or sell the land through second price sealed bid auctions to increase the number of the competitors. Second, due to the view of responsibility, the government should restrain the phenomenon of selling the land in the short term.

智慧型手機的用途已從語音溝通延伸轉變為多功能導向的的生活工具。目 前多數的智慧型手機均具備攝影鏡頭,而此模組更已被公認為基本的標準 配備。使用者透過手機,可以輕易且自然地拍攝感興趣的物體、景色或文 字等,並且建立屬於自己的影像資料庫。在眾多的手機軟體中,旅遊類的 程式是其中一種常見整合內容與多項感測模組的應用實例。在行動平台上, 設計一個影像辨識系統服務可以大幅地協助遊客們在旅途中去瞭解、認識 知名的地標、建築物、或別具意義的物體與文字等。 然而在行動平台上的可用資源是有限的,因此想要在行動平台上開發有效 率的影像辨識系統,是頗具挑戰性的任務。如何在準確率與計算成本之間 取得最佳的平衡點往往是行動平台上開發影像辨識技術的最重要課題。 根據上述的目標,本研究擬於行動平台上設計、開發行動影像搜尋與智慧 型文字辨識系統。具體而言,我們將在影像搜尋上整合兩個全域的特徵描 述子,並針對印刷與手寫字體去開發智慧型文字辨識系統。實驗結果顯示, 在行動影像搜尋與文字辨識的效能測試部分,前三名的辨識率皆可達到的 80%。 / The roles of smart phones have extended from simple voice communications to multi-purpose applications. Smart phone equipped with miniaturized image capturing modules are now considered standard. Users can easily take pictures of interested objects, scenes or texts, and build their own image database. Travel-type mobile app is one example that takes advantage of the array of sensors on the device. A mobile image search engine can bring much convenience to tourists when they want to retrieve information regarding specific landmarks, buildings, or other objects. However, devising an effective image recognition system for smart phone is a quite challenging task due to the complexity of image search and pattern recognition algorithms. Image recognition techniques that strike a balance between accuracy and efficiency need to be developed to cope with limited resources on mobile platforms. Toward the above goal, this thesis seeks to design effective mobile visual search and intelligent character recognition systems on mobile platforms. Specifically, we propose two global feature descriptors for efficient image search. We also develop an intelligent character recognition engine that can handle both printed and handwritten texts. Experimental results show that the accuracy reaches 80% for top-3 candidates in visual search and intelligent character recognition tasks.

隨著GIS的發展，地圖定位成為空間查詢中極為普遍的行為。一般地圖定位大多透過地址來進行，但是在缺乏地址的情況之下，進行地圖上之定位變成極為困難之事。 本論文嘗試對手繪地圖在真實地圖上進行定位，我們提出了一套機制，使用者可以隨意地以手繪方式繪製街道圖與地標，透過我們提出的方法，即可自動地在真實的地圖上進行定位。 論文中，我們使用相鄰街廓中之地標配置與相鄰之交叉路口之地標配置等變數組成的表示法來描述地圖。我們將手繪地圖與真實地圖轉換成這些表示法，並透過字串編輯距離、圖同構等關係來比較手繪地圖與真實地圖之相似度，從而對手繪地圖進行定位。 實作中，我們挑選了幾處真實場景在台北市地圖中進行比對並觀察其結果。系統採用之地標包括政府機構(如派出所、消防隊、區公所等)、學校、醫院等資料。在實驗中，應用這套表示法可成功的定位出使用者所輸入之各場景所在位置。另外，透過控制相似度門檻值，我們可以調整辨識之精確度，不至於錯失可能之定位結果。 / As the widely spread of the GIS applications, map localization becomes one of the most important features in the spatial information retrieval. Normally, map localization is done through street addresses. Without this information, map localization becomes very difficult. In this research, we are trying to do map localization using hand drawing maps. We proposed a mechanism that can localize the user's drawing map in the reference map automatically. Our approaches use the landmark configurations of the adjacent street blocks as well as the landmark configurations of the adjacent street intersections as the descriptors in representing a map. The user's hand drawn maps and the reference maps are converted into these representations. The string editing distances and graph isomorphism are used in determining the similarities between the hand drawn map and the reference map. The map localization can be done by comparing these similarities. We used various real scenes in Taipei City to verify our systems. The landmarks we used including police offices, fire stations, county offices, schools and hospitals, etc. The experimental results shown that our system can localize the user's input successfully. Moreover, by controlling thresholds in similarity analysis, we can adjust the system's accuracy that reduces possibility of miss localizations.