By Osamu Sudoh, Sozo Inoue, Naoki Nakashima (auth.), Makoto Oya, Ryuya Uda, Chizuko Yasunobu (eds.)
International Federation for info Processing
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Extra resources for Towards Sustainable Society on Ubiquitous Networks: The 8th IFIP Conference on e-Business, e-Services, and e-Society (I3E 2008), September 24–16, 2008, Tokyo, Japan
Especially, maintenance cost in an wide area distribution should be seriously considered. Heterogeneity The system should handle various kinds of data, such as manually input data, sequential motion sensor data, and periodical vital sensor data. Along with this, sensors and networking devices will also be heterogeneous to meet with the varieties of required data and reliability. Reliability Because of the variety of data and of the requirement for long battery life of mobile sensor devices, there should appear trade-offs between accuracy of data and energy consumption.
It has been expected that a catastrophe approach to discontinuous behavior has made clearly abundant implications. Based on the findings of loyalty in the application of cusp catastrophe theory, the cusp catastrophe model is an appropriate model to know the process of loyalty. It suggests that other researchers could consider the cusp catastrophe theory and other nonlinear techniques, especially for standard approaches not adequately to capture the underlying dynamic. 1 Introduction The Internet has provided people with a new medium for social activities and has also opened up entirely new features of social reality.
Mobile information access: A study of emerging search behavior on the mobile internet. ACM Transactions on the Web (TWEB) 1(1), Article 4 (2007) 2. : Mining data streams: a review. ACM SIGMOD Record 34(2), 18–26 (2005) 3. : Predicting navigation patterns on the mobile-internet using time of the week. In: WWW2005, pp. 958–959. ACM Press (2005) 4. : Research issues in data stream association rule mining. ACM SIGMOD Record 35(1), 14–19 (2006) 5. : Characterizing web usage regularities with information foraging agents.