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Titlebook: Ambient Intelligence; European Conference, Emile Aarts,Boris de Ruyter,Gregory O‘Hare Conference proceedings 2014 Springer International Pu

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21#
發(fā)表于 2025-3-25 05:41:17 | 只看該作者
Die Differentialgleichung des Potentialsis significantly impacts the energy consumption in the building. The total daily average energy consumption for heating and cooling was significantly lower for occupants using the automatic mode than for the three groups of manual users (871W/day versus 2573W/day; T=-5.98, p=0.000).
22#
發(fā)表于 2025-3-25 08:52:25 | 只看該作者
23#
發(fā)表于 2025-3-25 14:31:24 | 只看該作者
24#
發(fā)表于 2025-3-25 18:52:21 | 只看該作者
Ambient Influence for Promoting Balanced Participation in Group Brainstorming,eived influence of the technology intervention were collected. The results suggest that the ambient system is better accepted when the persuasive message is expressed in a subtle manner and an explanation of the system’s persuasive strategy is provided.
25#
發(fā)表于 2025-3-25 19:58:11 | 只看該作者
26#
發(fā)表于 2025-3-26 02:53:29 | 只看該作者
Impact of Blinds Usage on Energy Consumption: Automatic Versus Manual Control,is significantly impacts the energy consumption in the building. The total daily average energy consumption for heating and cooling was significantly lower for occupants using the automatic mode than for the three groups of manual users (871W/day versus 2573W/day; T=-5.98, p=0.000).
27#
發(fā)表于 2025-3-26 06:17:43 | 只看該作者
28#
發(fā)表于 2025-3-26 10:25:09 | 只看該作者
29#
發(fā)表于 2025-3-26 14:53:08 | 只看該作者
https://doi.org/10.1007/978-3-662-34622-8om the binary sensor network deployed within the environment. In order to evaluate the proposed framework, we tested our solution by using a previous developed heterogeneous localization systems presented at the international competition EvAAL 2013.
30#
發(fā)表于 2025-3-26 17:18:30 | 只看該作者
https://doi.org/10.1007/978-3-662-34622-8s only. We analyse Wi-Fi and accelerometer data separately and combine them to detect walking in synchrony. The results show that from seven days of monitoring using seven subjects in real-life setting, we achieve 99% accuracy, 77.2% precision and 90.2% recall detection rates when combining both modalities.
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