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UM
2009
Springer
15 years 9 months ago
Predicting Customer Models Using Behavior-Based Features in Shops
Abstract. Recent sensor technologies have enabled the capture of users’ behavior data. Given the large amount of data currently available from sensor-equipped environments, it is...
Junichiro Mori, Yutaka Matsuo, Hitoshi Koshiba, Ke...
ISLPED
2009
ACM
188views Hardware» more  ISLPED 2009»
15 years 9 months ago
Transaction-based adaptive dynamic voltage scaling for interactive applications
In an interactive embedded system, special task execution patterns and scheduling constraints exist due to frequent human-computer interactions. This paper proposes a transaction-...
Xia Zhao, Yao Guo, Xiangqun Chen
JCDL
2009
ACM
162views Education» more  JCDL 2009»
15 years 9 months ago
Supporting analysis of future-related information in news archives and the web
A lot of future-related information is available in news articles or Web pages. This information can however differ to large extent and may fluctuate over time. It is therefore di...
Adam Jatowt, Kensuke Kanazawa, Satoshi Oyama, Kats...
AINA
2008
IEEE
15 years 9 months ago
A Map Matching Algorithm for Car Navigation Systems that Predict User Destination
In this paper, we propose a map matching algorithm for car navigation systems that predict user destination. This car navigation system is a novel system that automatically predict...
Koichi Miyashita, Tsutomu Terada, Shojiro Nishio
AINA
2008
IEEE
15 years 9 months ago
Opportunistic Data Dissemination Using Real-World User Mobility Traces
— Opportunistic communication allows humans equipped with mobile devices to exchange information via a wireless link whenever they are nearby. This work examines the performance ...
Andreas Heinemann, Jussi Kangasharju, Max Müh...