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Daniel Gugerell, Benedikt Gollan, Moritz Stolte and Ulrich Ansorge
Task batteries mimicking user tasks are of high heuristic value. Supposedly, they measure individual human aptitude regarding the task in question. However, less is often known about the underlying mechanisms or functions that account for task performanc...
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Richard Bustos, S. Andrew Gadsden, Mohammad Al-Shabi and Shohel Mahmud
To ensure reliable operation of electrical systems, batteries require robust battery monitoring systems (BMSs). A BMS?s main task is to accurately estimate a battery?s available power, referred to as the state of charge (SOC). Unfortunately, the SOC cann...
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Xin Ding, Yunbo Shi, Hui Sun and Xibo Ding
Methane is the main cause of sewer explosion accidents, and the available monitoring methods mainly use portable gas sensors for on-site detection. However, these methods cannot grasp the dynamic changes in methane in a sewer in real time or make good pr...
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Khaleque Insia, Abir Ahmed, Effat Jahan, Sharif Ahmad, Sreejon Barua, Imran Ali, Md. Rifat Hazari, Mohammad Abdul Mannan
Pág. 181 - 188
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Valery Nkemeni, Fabien Mieyeville and Pierre Tsafack
In wireless sensor network-based water pipeline monitoring (WWPM) systems, a vital requirement emerges: the achievement of low energy consumption. This primary goal arises from the fundamental necessity to ensure the sustained operability of sensor nodes...
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Szabolcs Kocsis Szürke, Gergo Sütheö, Antal Apagyi, István Lakatos and Szabolcs Fischer
Vehicle safety risk can be decreased by diagnosing the lithium-ion battery system of electric road vehicles. Real-time cell diagnostics can avoid unexpected occurrences. However, lithium-ion batteries in electric vehicles can significantly differ in desi...
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Kalvin Schofield and Petr Musilek
The vanadium redox flow battery electrolyte is prone to several capacity loss mechanisms, which must be mitigated to preserve electrolyte health and battery performance. This study investigates a simple and effective technique for the recovery of capacit...
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Gavin James Lowes, Jeffrey Neasham, Richie Burnett, Benjamin Sherlock and Charalampos Tsimenidis
This paper presents the development of a low-energy passive acoustic vessel detector to work as part of a wireless underwater monitoring network. The vessel detection method is based on a low-energy implementation of Detection of Envelope Modulation On N...
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Kanishkavikram Purohit, Shivangi Srivastava, Varun Nookala, Vivek Joshi, Pritesh Shah, Ravi Sekhar, Satyam Panchal, Michael Fowler, Roydon Fraser, Manh-Kien Tran and Chris Shum
The proliferation of electric vehicle (EV) technology is an important step towards a more sustainable future. In the current work, two-layer feed-forward artificial neural-network-based machine learning is applied to design soft sensors to estimate the s...
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James Jin Kang, Kiran Fahd and Sitalakshmi Venkatraman
Transferring data from a sensor or monitoring device in electronic health, vehicular informatics, or Internet of Things (IoT) networks has had the enduring challenge of improving data accuracy with relative efficiency. Previous works have proposed the us...
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