| 1. |
- Nugent, Chris, et al.
(författare)
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Assessing the impact of individual sensor reliability within smart living environments
- 2008
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Ingår i: IEEE International Conference onAutomation Science and Engineering. - Piscataway, NJ : IEEE Communications Society. - 9781424420223 ; , s. 685-690
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Konferensbidrag (refereegranskat)abstract
- The potential of smart living environments to provide a form of independent living for the ageing population is becoming more recognised. These environments are comprised of sensors which are used to assess the state of the environment, some form of information management to process the sensor data and finally a suite of actuators which can be used to change the state of the environment. When providing a form of support which may impinge upon the well being of the end user it is essential that a high degree of reliability can be maintained. Within this paper we present an information management framework to process sensor based data within smart environments. Based on this framework we assess the impact of sensor reliability on the classification of activities of daily living. From this assessment we show how it is possible to identify which sensors within a given set of experiments can be considered to be the most critical and as such consider how this information may be used to propose a set of guidelines which may be adopted for managing sensor reliability from a practical point of view.
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| 2. |
- Stabellini, Luca, et al.
(författare)
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Interference Aware Self-Organization for Wireless Sensor Networks : a Reinforcement Learning Approach
- 2008
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Ingår i: 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2. - NEW YORK : IEEE. - 9781424420223 ; , s. 560-565
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Konferensbidrag (refereegranskat)abstract
- Reliability is a key issue in wireless sensor networks. Depending on the targeted application, reliability is achieved by establishing and maintaining a certain number of network functionalities: the greatest among those is certainly the capability of nodes to communicate. Sensors communications are sensible to interference that might corrupt packets transmission and even preclude the process of network formation. In this paper we propose a new scheme that allows to establish and maintain a connected topology while dealing with this problem. The idea of channel surfing (already introduced in [1]) is exploited to avoid interference; in the resulting multi-channel environment nodes discover their neighbors in a distributed fashion using a reinforcement learning (RL) algorithm. Our scheme allows the process of network formation even in presence of interference, overcoming thus the limit of algorithms currently implemented in state of the art standards for wireless sensor networks. By means of reinforcement learning the process of neighbor discovery is carried out in a fast and energy efficient way.
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| 3. |
- Wang, Lihui
(författare)
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A Model-driven Approach for Remote Machine Control
- 2008
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Ingår i: 4th IEEE Conference on Automation Science and Engineering, CASE 2008. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781424420223 ; , s. 644-649
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Konferensbidrag (refereegranskat)abstract
- The objective of this research is to develop a set of enabling technologies for Web-based remote machining in a decentralized environment. Particularly, this paper presents our latest development on 3D model-based and sensor-driven remote machining. Once a product design is given, its process plan and NC codes are generated by using a distributed process planning (DPP) system. The NC codes are then used for remote machining via a standard Web browser. In this paper, the focus is given to the concept and prototype implementation of the technology. A case study of a test part machining on a 5-axis milling machine is also completed for testing and validation. It is expected that the developed technology can also be applied to design verification as well as production in a distributed manufacturing environment.
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| 4. |
- Witrant, E., et al.
(författare)
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Air flow modeling in deep wells : application to mining ventilation
- 2008
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Ingår i: 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2. - : IEEE. - 9781424420223 ; , s. 845-850
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Konferensbidrag (refereegranskat)abstract
- In this paper, we present a novel air flow modeling strategy for deep wells that is suitable for real-time control of large-scale systems. We consider the mining ventilation control application, where specifically designed models are crucial for new automation strategies based on global system control and energy consumption optimization. Two different levels of complexity are proposed. Starting from a general model based on Navier-Stokes equations, we derive a 0-D, Bond Graph model. This model is used to set a real-time simulator for the mine aerology problem.
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