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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/31446


    Title: 應用iBeacon室內定位推播系統於複合式寵物醫院
    Other Titles: Applying the iBeacon to the Positioning Broadcast for Compound Veterinary Hospital
    Authors: 陳毅修
    CHEN, YI-HSIU
    Contributors: 陳澤雄
    CHEN, TZER-SHYONG
    資訊管理學系
    Keywords: iBeacon;寵物醫院;RSSI;LandMarc演算法;智慧型手機
    iBeacon;Veterinary Hospital;RSSI;LandMarc Algorithm;Smart Phone
    Date: 2019
    Issue Date: 2019-03-21T09:11:42Z (UTC)
    Abstract: 隨著資訊科技不斷的進步與資訊應用的發展下使人們的生活型態開始改變,少子化及人口逐漸老化的問題使台灣的社會結構逐漸改變,寵物成為許多人生活中不可或缺的一份子,也造就複合式寵物醫院逐漸興起。本論文將iBeacon室內定位技術應用於複合式寵物醫院進行創新商業模式研究,藉由資訊科技蒐集會員資料並分析消費者相關資訊,推薦消費者喜好商品。本研究將iBeacon室內定位技術結合智慧型手機的應用,籍由智慧型手機的方便性,來獲取更多消費者資訊,並且分析消費者購物習慣,在購買過程中定位消費者之停留位置後,透過智慧型手機APP即時推播系統,提高消費者購買意願及提升業者的整體營運效益。研究中模擬複合式寵物醫院之賣場環境,設置:9*9 公尺實驗空間,透過iBeacon 技術取得 Received Signal Strength Indication (RSSI);透過 LandMarc 演算法與系統分析,顯示出消費者定位點、區域範圍與停留時間。
    The advance of information technology and the development of information application have changed people’s lifestyles. The aging population and low birth rate gradually change the social structure in Taiwan, and pets become an inevitable part of human life. Complex pet shops are therefore emerging. iBeacon, the indoor positioning technology, is applied to complex pet shops for research on innovative business model to recommend consumers’ preferred products by collecting member data and analyze consumer information with information technology.The application of iBeacon could acquire more consumer information and analyze consumers’ shopping habits through smart phones. After positioning a consumer’s location in the purchase process, the smart phone APP real-time push system would enhance the consumer’s purchase intention and promote the shop’s overall operation benefits. In the research, the environment in a complex animal hospital is simulated to establish a 9*9m experiment space. Received Signal Strength Indication (RSSI) is acquired through iBeacon, and LandMarc is applied to calculate a consumer’s location, regional position, and staying time.
    Appears in Collections:[資訊管理學系所] 碩士論文

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