研究生: |
李韋宏 Li, Wei-Hung |
---|---|
論文名稱: |
多模式感應之智慧校園應用 The Study of Smart Campus Applications Using Multi-mode Sensors |
指導教授: |
林均翰
Lin, Chun-Han |
學位類別: |
碩士 Master |
系所名稱: |
資訊工程學系 Department of Computer Science and Information Engineering |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 77 |
中文關鍵詞: | 近場通訊 、信標感應 、混成式感應 、智慧校園 、物聯網 、使用者經驗 |
英文關鍵詞: | Near Field Communication, User Experience, IoT, Smart Campus, iBeacon, Parse |
DOI URL: | https://doi.org/10.6345/NTNU202204217 |
論文種類: | 學術論文 |
相關次數: | 點閱:172 下載:5 |
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近年來隨著智慧時代的來臨,各種聯網物件透過網路互動以及傳遞資料的方式越來越多元,造就物聯網的技術更受矚目。現今手持裝置可以使用感應方式完成多樣性的工作,在物聯網的應用也占相當重要的一席之地。從物聯網觀點來看,智慧校園可視為物聯網在校園的一項應用,而校園中雖然有許多的服務與應用來滿足學生與教師,但是目前現有的系統沒有完全整合感應功能。
本研究提出了多模式感應功能來整合智慧校園應用,可在校園中快速的存取以及瀏覽校園感測器中相關的資訊,系統主要針對手持裝置的感應方式來做整合,將感應分為近場通訊模式、信標感應模式與混成式感應模式,使用這些感應模式能夠獲取特定的情境資訊,並且更能迅速的完成使用者在特定情境下的意圖。此外使用者經驗也是本研究探討的問題,不僅要關注介面的設計,更得關心所有會影響使用者體驗的一切,故透過雲端資料庫整合了各種資料並分析使用者的行為模式,根據需求調整介面的設計,以符合使用者的期望,進而提供使用者更完善的多模式感應功能。
In the decade of smart, there are more and more objects connected to internet. Now a days, many handheld device applications combine the handheld device’s sensors to form a new type of IoT (Internet of Things) applications. From IoT point of view, smart campus can be viewed as an application of IoT in campus. Although there are many smart campus services and applications for students and teachers, but there are rare integrate smart campus systems which can provide robust sensor functions.
This research proposes multi-mode sensor scheme to integration smart campus applications which can quickly access and browse sensors related information in campus. Our system proposes three sensor modes including Near Field Communication, iBeacon Communication and Hybrid Communication. Using these sensor modes, users can get context information, and can quickly complete their intents in specific situation. Furthermore, our study also focus on the user experience factors of the system. We not only focus on interface design, but also concerned with other factors which will affect the user experiences. Therefore, our system establishes the cloud database integrating various data, and analyzes user behavior patterns, adjusts interface design based on demand to match up user’s expectations, and then provides the users a more complete capability of multi-mode sensors.
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http://www.inside.com.tw/2015/02/06/big-data-1-origin-and-4vs
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http://semanticstudios.com/user_experience_design/
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