9 research outputs found
Changes of Regional Structure and Urban Festival Management in the Central City of Ryugasaki, Ibaraki Prefecture
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[[alternative]]A Study of Relationships Among Service Quality, Experiential Marketing and Customer Satisfaction: The Case of Beauty Salon in Taichung City
[[abstract]] 台灣的美髮產業從盛到衰,幾經波折,能在這樣不景氣的大環境下生存下來的美髮沙龍很少。本研究因此透過對台中市美髮沙龍的顧客群以發放問卷的調查方式,探討服務品質、體驗行銷與顧客滿意度之關係,用以幫助美髮業修正、改變經營策略,找到最適當的經營模式,使營運報酬率提高。 本研究的研究對象是台中市美髮沙龍的顧客,藉由問卷調查法,採隨機發放問卷,共發放200份問卷,扣除無效問卷0份,有效問卷200份,有效問卷回收率100%。研究結果顯示:(1)體驗行銷對於服務品質有顯著正向影響;(2)服務品質對於顧客滿意度有顯著正向影響;(3)體驗行銷對於顧客滿意度有顯著正向影響。 本研究最後依據研究結論對美髮業經營意涵進行討論,並對美髮業經營者、未來研究者、未來研究方向提出建議。[[abstract]] Hairdressing industry in Taiwan has declines and prosperity, After several twists and turns. Hair salons can survived in this downturn condition are very few and luky. Therefore, this research examines the customers of Taichung City's hair salons and uses questionnaire to investigate relationships among service quality, experiencaial marketing and customer satisfaction of beauty salions. This research aims to help the hairdressing industry to develop and change business strategies and innovate business models that will increase profitability and satistification. This research focuses on studying customers of Taichung City's hair salon. By using survey, 200 questionnaire were distributed and 200 effective questionnaire were collected, and the effective questionnaire returns-ratio is 100%. Preliminary findings showed that showed that: (1)experiencial marketing is significantly positive related to service quality, (2)service quality is significantly positive related to customer satisfaction, and(3)expericial marketing is significantly positive related to customer satisfaction. This study is based on the conclusion of the research. Discusses the management and management implications of the hairdressing industry for hairdressing industry operators. in addition, she proposed suggestions for hairdressing industry operators, future research, and future research directions
SURF-based Mobile Object Image Recognition and Its Applications
[[abstract]]本研究提出兩種以SURF為影像特徵為基礎之行動影像辨識方法,並分別作用在以飲料瓶罐與房仲業廣告傳單DM為辨識標的物的應用上,使用者使用行動裝置拍攝瓶裝飲料包裝或傳單上的圖片就可得到商品的相關訊息,本論文的研究成果可以延伸應用於行動電子商務與行銷的目的。有別於目前普遍使用的QR Code行動辨識方式,所提出的方法不需要特別加註標記於物品上,直接針對瓶罐包裝與傳單圖片進行辨識,美觀且不必佔據物品版面。 本研究所開發之系統利用Client-Server架構進行物件辨識,Client端為行動裝置,透過行動裝置進行影像擷取並將影像上傳至Server端進行影像處理與辨識。Server端將影像透過SURF取得特徵點,再經由特徵點匹配演算法計算所擷取的影像與資料庫中的影像的匹配情形,匹配點數越多表示兩張影像越相似。但為了系統實作之效能考量,我們針對瓶裝飲料與房仲廣告辨識之應用分別進行不同的前處理。針對瓶裝飲料的應用,為了解決部分飲料包裝常出現不同口味的飲料,其影像內容幾乎相同,只有顏色不同的情況,本研究透過HSV色彩空間轉換將包裝影像轉換成360個色系(hue)的向量直方圖,經過K-means分群成5類,透過分群可以將外觀相似物件但顏色分布差異較大的飲料包裝進行有效區分,除了可以增加辨識率,同時也減少比對數量,加速比對時間。在房仲業廣告傳單部分,則是將影像中的SURF特徵點進行BoF(Bag of features)的特徵計算,透過BoF將特徵點分布相似的影像分成3群以減少比對運算時間。 經由實驗結果顯示,所提出方法在包裝飲料應用的正確辨識率為94%,平均執行時間為1 04秒;在房仲業廣告傳單正確辨識率為100%,平均執行時間為5 21秒,實驗結果說明所提出方法具有高度的穩定性與可行性。[[abstract]]This study proposes two mobile object recognition methods based on SURF and were applied on the applications of beverage bottles and Real Estate DM respectively Users can use a mobile camera to shoot bottled beverage or pictures on Real Estate DM to obtain more information for the target objects The results of the research can be extended and applied on mobile e-commerce and marketing purposes Different to the current widespread use of QR Code the proposed method can provide the same information services without adding extra-marks on the products This developed mobile object recognition system is based on a Client-Server Architecture In the client-side the mobile device will capture target object images and then upload them to the Server-side In the server-side SURF based image feature extraction and image matching is performed The matching results will send back to the client-side In order to obtain a high performance of systems two different preprocessing procedures for bottled drinks and Real Estate advertising were applied In the application of bottled beverages HSV color space transformation and K-means clustering are applied to increase the accuracy recognition rate In the Real Estate DM application BoF (Bag of features) is applied The experimental results show that the proposed method can achieve high accuracy rates The accuracy rate for packaged beverage application using the proposed method is 94% and the average execution time is 1 04 seconds; in the Realty Estate DM application the accuracy rate is 100% and the average execution time is 5 21 seconds Experimental results show that the proposed methods own a high degree of stability and possibilit
TopicWave: Visually Exploring Topics of Hierarchical Time-Oriented Data
如何透過視覺化探索勢力消長情形,是近年來頻繁被探討的問題,常見之做法會針對帶有時間屬性的時間關聯資料 (time-oriented data)來進行觀察,而以社群媒體為例,重大議題通常是透過意見領袖提出具有關鍵性之觀點,而得以分歧出新議題並吸引其他社群媒體上之閱聽人加入討論,上述之過程牽涉評論之階層資料其層次隨著時間變化分歧與合併,然而,能夠透過視覺化之方式同時觀察上述特性有其挑戰性。本篇論文將針對階層式資料提出一套整合方式,稱為TopicWave,特別是帶有時間變化屬性的資料,希望透過改良動態圖形視覺化工具,結合 Sunburst 與 ThemeRiver Graph,實作 Facebook 上公開文章之評論(comments)行為隨時間變化的趨勢,而透過直覺式互動功能之設計。透過案例分析和使用者測試,本論文提出的方法能清楚呈現評論關係隨時間之變化與階層式結構,達到組合式創新之效果。In recent research, it is a frequently asked question about how to explore the topic trend during a time interval. If we want to analysis and discuss this question, time-oriented data will be the most appropriate dataset. For example, on social media platform, major issues are commonly formed by opinion leaders, people will be attracted by opinion leaders and join in the commentary on a topic. The above-mentioned procedure will involve in commentary hierarchy level increasing or decreasing while time changes, however, it is challenging when we want to explore these properties using traditional visualization techniques. We propose TopicWave, a visualization design that combines ThemeRiver Graph (time-oriented visualization) and Sunburst (hierarchical data visualization). It can visualize the trend of a post’s comment on Facebook Page. TopicWave can clearly present hierarchy and time-varying trend of a Facebook post’s comment data at the same time through the intuitive design of interactive on visualization
茶餅模製作
[[abstract]]本專題計劃旨在以研究沖壓模,一個好的沖壓模作品,需要一個特定的模具,而我們為了研究一個特定模具,所以選擇「茶餅模」來做為沖壓模的作品。模具工業可稱之為「工業之母」,不管在工業上、3C產業、航太工業及半導體業,任何產品的開發模具量產扮演著最關鍵的角色。模具的開發包含了設計、材料、精密加工、表面處理…等。為了能做出好的模具,我們參考了許多有關製作模具的相關資料,也把尺寸、外觀都加以記錄下來,來做以參考以後需要的數據。而為了能做出一個漂亮的作品,組員之間也討論出要設計一個圖案,增加他的美觀性。要設計出一個壓模,他裡面包含了需多關於機械的專業知識,包括:機械原理、機械設計、材料力學、機械製造、電腦機械輔助繪圖、數值控制機械等…,所以我們也找尋了許多的資料,不管是上網、書籍、尋找專業人士詢問,都在各方面下足的苦心。這次專題我們運用到傳統銑床、三軸CNC綜合加工機、MasterCAM、SolidWorks,過程中我們更加熟悉傳統銑床的操作,也學習到如何設計一個沖壓模具,在運用SolidWorks把模具各部分畫出來,並利MasterCAM把圖檔放到裡面,設計所需的刀具跟路徑,最後把路徑轉換為NC code,就可以把工件夾置在三軸CNC綜合加工機,進行製作模具的動作。在整個專題製作完成過後,學習到了許多新的東西,這些知識都是課本裡所學不到的東西
聚集诱导发光
聚集诱导发光(AIE)是唐本忠院士于2001年提出的一个科学概念,是指一类在溶液中不发光或者发光微弱的分子聚集后发光显著增强的现象。高效固态发光的AIE材料有望从根本上解决有机发光材料面临的聚集导致发光猝灭难题,具有重大的实际应用价值。从分子内旋转受限到分子内运动受限,从聚集诱导发光到聚集体科学,AIE领域已经取得了许多原创性的成果。在本综述中,我们从AIE材料的分类、机理、概念衍生、性能、应用和挑战等方面讨论了AIE领域最近取得的显著进展。希望本综述能激发更多关于分子聚集体的研究,并推动材料、化学和生物医学等学科的进一步交叉融合和更大发展。 Aggregation-induced emission (AIE), conceptually coined by Prof. Ben Zhong Tang in 2001, refers to a unique photophysical phenomenon non- or weakly emissive luminogens in dilute solutions emit intensely upon aggregation. AIE can solve the aggregation-caused quenching problem that traditional fluorophores are suffering from and hold great technological values for practical applications. The past 20 years have witnessed the rapid development of AIE research, from the restriction of intramolecular rotations to restriction of intramolecular motions, and from AIE to aggregate science, and many original results have been achieved. In this review, we summarize the advances in the field of AIE and its related areas. We specifically discuss the recent progress in AIE area, including material classification, mechanism, concept derivation, property, applications, and challenges. It is hoped that this review will inspire more research into the molecular aggregate level and make significant advances in materials, chemistry and biological sciences
