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Sökning: WFRF:(Guo Chen) > Mittuniversitetet

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1.
  • Pecunia, Vincenzo, et al. (författare)
  • Roadmap on energy harvesting materials
  • 2023
  • Ingår i: Journal of Physics. - : IOP Publishing. - 2515-7639. ; 6:4
  • Tidskriftsartikel (refereegranskat)abstract
    • Ambient energy harvesting has great potential to contribute to sustainable development and address growing environmental challenges. Converting waste energy from energy-intensive processes and systems (e.g. combustion engines and furnaces) is crucial to reducing their environmental impact and achieving net-zero emissions. Compact energy harvesters will also be key to powering the exponentially growing smart devices ecosystem that is part of the Internet of Things, thus enabling futuristic applications that can improve our quality of life (e.g. smart homes, smart cities, smart manufacturing, and smart healthcare). To achieve these goals, innovative materials are needed to efficiently convert ambient energy into electricity through various physical mechanisms, such as the photovoltaic effect, thermoelectricity, piezoelectricity, triboelectricity, and radiofrequency wireless power transfer. By bringing together the perspectives of experts in various types of energy harvesting materials, this Roadmap provides extensive insights into recent advances and present challenges in the field. Additionally, the Roadmap analyses the key performance metrics of these technologies in relation to their ultimate energy conversion limits. Building on these insights, the Roadmap outlines promising directions for future research to fully harness the potential of energy harvesting materials for green energy anytime, anywhere.
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2.
  • Huang, X., et al. (författare)
  • Bootstrapping body sensor networks using human controlled LED-camera channels
  • 2012
  • Ingår i: 2012 International Conference for Internet Technology and Secured Transactions, ICITST 2012. - : IEEE conference proceedings. - 9781908320087 ; , s. 433-438
  • Konferensbidrag (refereegranskat)abstract
    • Body sensor networks enable many interesting applications. In these applications, sensor networks always collect sensitive information, thus security is significant. Since most security mechanisms are based on identities and keys, we propose a human controlled LED-camera channel based hash key before knowledge identity and key distribution protocol. The protocol has two advantages. Firstly, the protocol uses human controlled LED-camera channels, thus human burden is reduced. Secondly, protocol performance is optimized for sensor nodes. 
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