Searched for: subject%3A%22Cold%255C+start%22
(1 - 6 of 6)
document
Gong, Haoran (author)
With the great application potential of the Internet of Things (IoT), a reliable power supply solution for IoT plays an important role during the development of IoT and other advanced applications. Among all the options including the electricity grid, batteries, and energy harvesting systems, the energy harvesting systems are considered with...
master thesis 2023
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Yue, X. (author), Du, S. (author)
Synchronized switch harvesting on inductor (SSHI) rectifier has been verified as an efficient active rectifier to harvest kinetic energy in piezoelectric energy harvesting (PEH) system. Compared with passive rectifiers, active rectifiers including SSHI rectifier require a stable power supply to drive switches. However, when the system starts...
conference paper 2022
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Das, B. (author), Isufi, E. (author)
Performing signal processing over graphs requires knowledge of the underlying fixed topology. However, graphs often grow in size with new nodes appearing over time, whose connectivity is typically unknown; hence, making more challenging the downstream tasks in applications like cold start recommendation. We address such a challenge for signal...
conference paper 2022
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Parag, Anirudh Kumar (author)
This work focuses on addressing the fundamental limitation on the minimum cold start-up voltage that could be harvested from a thermoelectric element (TEG) for human-body wearable applications. For ultra-low DC voltages, the challenge translates to generating a timed-signal to amplify it up to a value that could be used to drive, say, a boost...
master thesis 2019
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van Wietmarschen, Luc (author)
This work proposes a new charge pump design suitable for energy harvesting on small human wearable devices. By using only one system for both cold start and high efficiency harvesting, the required silicon area is heavily reduced. The most fitting energy transducer is determined to be a photovoltaic cell, based on aspects of voltage, power and...
master thesis 2019
document
Rentmeester, M. (author)
Most recommender systems recommend items from a single domain. However, usually users’ preferences span across multiple domains. Cross-domain recommender systems can successfully recommend items in multiple domains when there is knowledge about the user’s preferences for items in at least one of the domains and when there is knowledge about...
master thesis 2014
Searched for: subject%3A%22Cold%255C+start%22
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