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樓主: 與生
51#
發(fā)表于 2025-3-30 11:05:25 | 只看該作者
Developing a Real-Time Process Data Acquisition System for Automatic Process Measurementacquisition system that is capable of measuring elderly people’s behavior and nurse’s behavior. We apply the system to three Linux-based platforms and evaluate it in laboratory and practical environment. The proposed system fulfills the measurement needs of collecting process data for automatic process modeling.
52#
發(fā)表于 2025-3-30 15:06:20 | 只看該作者
53#
發(fā)表于 2025-3-30 18:05:52 | 只看該作者
Dynamic Data Processing Middleware for Sensor Networksare and system component prototypes are developed, evaluated and utilized by field trials in real-world settings. As a result, new knowledge is generated of ubiquitous sensor network middleware design and dynamically distributing data processing computational load in resource-constrained sensor networks.
54#
發(fā)表于 2025-3-30 22:38:09 | 只看該作者
Doctoral Colloquium: Integrating Web Content into Mashups on Desktop and Mobile Devicesis analyzing the impact of new web technologies on mashup development. This research presents the mashups as a new breed of web applications that are intended for parsing the web content into easily accessed form on both regular computers as well as on other platforms, e.g. on embedded devices.
55#
發(fā)表于 2025-3-31 04:15:43 | 只看該作者
Smart Solutions for Risk Prevention through Analysis of People Movementssents a risk management architecture for monitoring movements within a smart ambient and managing possible risks. In particular, we present a methodology for movement analysis aimed at detecting and preventing risks. Results from experimentations are discussed.
56#
發(fā)表于 2025-3-31 07:02:11 | 只看該作者
Supporting Situation-Awareness in Smart Spacesusage of the context ontology in a case where lights are switched on according to a calculated wake-up time and the preferences of an individual. With the introduced Context Ontology for Smart Spaces, CO4SS, we managed to perform reasoning actions based on the user’s context.
57#
發(fā)表于 2025-3-31 12:10:47 | 只看該作者
A Model for Using Machine Learning in Smart Environmentsart environments were identified: ., ., . and .. These categories can be deployed to different phases of a self-adaptive application utilising the adaptation loop structure. The use of machine learning in one phase of the adaptation loop was demonstrated by carrying out an experiment utilising neural networks in the prediction of latencies.
58#
發(fā)表于 2025-3-31 16:23:55 | 只看該作者
Exploring Pervasive Service Computing Opportunities for Pursuing Successful Ageing successful ageing. This paper proposes a Pervasive Service Computing for Elderly (PSC4E) framework for improving Quality of Life of elderly people, through providing being-, becoming-, and belonging-based services in context of population ageing trends, an elderly service provisioning model, and related studies.
59#
發(fā)表于 2025-3-31 20:53:50 | 只看該作者
R. W. Ammann,G. Adler,M. Sarnersents a risk management architecture for monitoring movements within a smart ambient and managing possible risks. In particular, we present a methodology for movement analysis aimed at detecting and preventing risks. Results from experimentations are discussed.
60#
發(fā)表于 2025-3-31 22:08:36 | 只看該作者
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