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With the massive integration of distributed RESs into the power system, the demand for timely and reliable network quality monitoring, control, and fault analysis is rapidly growing. Following the successful deployment of PMUs in transmission systems for power monitoring, a new opportunity to utilize PMU measurement data for power quality assessment in distribution grid systems is emerging. The main...
Rapidly growing urbanization is putting more pressure on the well-being of citizens and the environment. Applying the latest ICT technology to address urban transport challenges is a key strategy to release the new innovation powerhouse of urbanization. This paper introduces a framework of future Innovative Urban Transport (IUT), to support next generation urban transport, based on IoT, 4G, Big Data,...
This paper presents a novel method of head-on-media (HOM) detection with Pb-Zr-Ti (PZT) self-sensing actuation. Unlike conventional approaches based on X-ray scanning, the proposed method is able to detect HOM drives automatically prior to spin-up activities. As spin-up retries are avoided, the drives can be preserved for failure analysis or data recovery. The mechanism of HOM detection using self-sensing...
Depression is a common mental disorder and one of the main causes of disability worldwide. Lacking objective depressive disorder assessment methods is the key reason that many depressive patients can't be treated properly. Developments in affective sensing technology with a focus on acoustic features will potentially bring a change due to depressed patient's slow, hesitating, monotonous voice as remarkable...
Energy conservation, coverage and connectivity are three critical application requirements in wireless sensor networks. Related researches have either concerned coverage, connectivity, and energy conservation separately or required sensing/communication range restrictions. In this paper, we aim to maximize the network lifetime, while maintaining coverage and connectivity simultaneously, without any...
The knowledge of the pose and the orientation of mobile robot in its operating environment is of utmost importance for an autonomous robot. In this paper, we present a new robot localization method integrates distributed vision sensors with Monte Carlo localization (MCL) method. Firstly, an improved MCL method is used to estimates the posterior distribution of robot poses conditioned on sensor data...
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