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It has been shown in previous studies that haptic guidance improves the learning outcomes of handwriting motor skills. In this paper, we present a comparison between full guidance and partial guidance using a haptic learning tool which supports these two modes. The full guidance mode leads the user along a pre-recorded trajectory, whereas the partial guidance mode allows the user a free movement and...
Fault detection and diagnosis (FDD) for heating, ventilation and air conditioning (HVAC) equipment significantly impact energy consumption in both residential and commercial buildings. In most modern building management systems (BMS), HVAC historical data logs in large quantity and high resolution are recorded and available for further online or offline analysis, including automated FDD. In this paper,...
Efficient and robust fault detection and diagnosis (FDD) can potentially play an important role in developing building management systems (BMS) for high performance buildings. Our research indicates that, in comparison to traditional model-based or data-driven methods, the combination of time series modeling and machine learning techniques produces higher accuracy and lower false alarm rates in FDD...
Fluid Catalytic Cracking (FCC) plays the most important role in the economy of a modern refinery as it is used for value addition to the refinery process. Due to its relative importance, considerable effort has been spent in modeling and optimizing the FCC Unit for better understanding and improved productivity respectively. This paper presents a parametric model based approach of controlling an FCC...
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