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  • 6月 20 週一 201100:36
  • RF-REC: Fast and Accurate Computation of Recommendations basedon Rating Frequencies

Fatih Gedikli, Faruk Ba?gdat, Mouzhi Ge and Dietmar Jannach
Department of Computer Science, 44221 Dortmund, Germany
Email: firstname.lastname@tu-dortmund.de

 

Recommending based on rating frequencies – Accurate enough?

Proposed method: RF-Rec
‧ Use a very simple prediction function
‧ Given:
– For each possible rating value r, the number of times the active user U has used it.
– For each possible rating value r, the number of times the target item has received this value from the community
‧ Predict:
– The rating value that appeared most often for this user/item combination

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  • 6月 14 週二 201108:40
  • Android and OSGi-based vehicular network management system

Ming-Chiao Chen a, Jiann-Liang Chen b,*, Teng-Wen Chang c

a Department of Computer Science and Information Engineering, National Taitung University, Taiwan
b Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
c Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

Journal of Computer Communications

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  • 6月 10 週五 201121:49
  • A target advertisement system based on TV viewer’s profile reasoning

Author: Jeongyeon Lim & Munjo Kim & Bumshik Lee & Munchurl Kim & Heekyung Lee & Han-kyu Lee
Published: Multimedia Tools and Applications Volume 36 Issue 1-2, Page 11-35, January 2008

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  • 12月 30 週四 201022:07
  • Google Android

Google's Android as an application environment for DTV decoder system This paper appears in: Consumer Electronics (ISCE), 2010 IEEE 14th International Symposium on

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  • 5月 09 週日 201002:04
  • 情境感知之Android應用?

剛找到一篇已發表論文:基於Android平台並支援高畫質內容雙輸出顯示之行動裝置:研究與實作
屬Android應用面的論文,那情境感知運用在Android平台上是否也可以,但方向???

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  • 1月 31 週日 201023:52
  • SCI

http://www.thomsonscientific.com/cgi-bin/jrnlst/jloptions.cgi?PC=K

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  • 1月 23 週六 201016:31
  • 書報

今天終於把這學期補課的書報討論課程上完,下學期書報難度將提升至SCI階級的期刊,看來放假期間也不得閒.. 目瞪口呆

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  • 11月 04 週三 200911:59
  • Detecting Intra-Fraction Motion in Patients Undergoing Radiation Treatment

Journal presentation 1:
Authors: Farid Farahmand 1, Kevin O. Khadivi 2 and Joel J. P. C. Rodrigues
Published: 27 August 2009 Volume = 9, Issue = 9, Page = 6715 – 6729
Abstract:
The utility of a novel, high-precision, non-intrusive, wireless, accelerometer-based patient orientation monitoring system (APOMS) in determining orientation change in patients undergoing radiation treatment is reported here. Using this system a small wireless accelerometer sensor is placed on a patient’s skin, broadcasting its orientation to the receiving station connected to a PC in the control area. A threshold-based algorithm is developed to identify the exact amount of the patient’s head orientation change. Through real-time measurements, an audible alarm can alert the radiation therapist if the user-defined orientation threshold is violated. Our results indicate that, in spite of its low-cost and simplicity, the APOMS is highly sensitive and offers accurate measurements. Furthermore, the APOMS is patient friendly, vendor neutral, and requires minimal user training. The versatile architecture of the APOMS makes it potentially suitable for variety of applications, including study of correlation between external and internal markers during Image-Guided Radiation Therapy (IGRT), with no major changes in hardware setup or algorithm.
 
 

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