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—The GINSENG project develops performance-controlled wireless sensor networks that can be used for time-critical applications in hostile environments such as industrial plant automation and control. GINSENG aims at integrating wireless sensor networks with existing enterprise resource management solutions using a middleware. A cornerstone is the evaluation(More)
Today's industrial facilities, such as oil refineries, chemical plants, and factories, rely on wired sensor systems to monitor and control the production processes. The deployment and maintenance of such cabled systems is expensive and inflexible. It is, therefore, desirable to replace or augment these systems using wireless technology, which requires us to(More)
— The Information and Communication Technology tools are nowadays fundamental to support e-learning and b-learning courses. is a web-based platform that allows users to perform experiments in different educational levels and contexts. This paper aims to describe its potential use in secondary education, engineering and lifelong learning courses. The(More)
Wireless Sensor and Actuator Networks can be used to detect and classify ephemeral distributed events, where different process components with different behaviours are involved. Agents implementing Distributed Artificial Intelligence techniques are a key value in improving the overall system's performance. This paper proposes a general WSAN Multi-Agent(More)
This paper studies three techniques for outliers detection in the context of Wireless Sensor Networks, including a machine learning technique, a Principal Component Analysis-based methodology and an univariate statistics-based approach. The first methodology is based on a Least Squares-Support Vector Machine technique, together with a sliding window(More)