ORCID Profile
0000-0002-9278-0344
Current Organisations
University of Queensland
,
University of Western Australia
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Publisher: Elsevier BV
Date: 08-2022
Publisher: Springer Science and Business Media LLC
Date: 18-01-2023
DOI: 10.1186/S42055-022-00049-W
Abstract: The hydrogen economy has been a major vision for many futurists, for over half a century, as a way to transition to a world not dependent on fossil fuels (Bockris, Science 176:1323, 1972). As with many world views, the hydrogen economy has a complete perspective from which all potential change can be viewed. It therefore has a passionate if somewhat fundamentalist following. This paper outlines how electrification has now superseded much of the originally envisaged hydrogen economy and thus it deconstructs what is left of this vision to highlight hydrogen’s strategic, niche, yet important roles, that remain for supporting the transition to a global net zero emissions economy. In our view, it is critical that policy-makers, industry and researchers take a strategic view on striking the right balance on the adoption of hydrogen. Here we propose a framework for hydrogen development globally, with support directed towards enabling the decarbonisation of harder-to-electrify sectors using renewable hydrogen, including, but not limited to: steel, cement, fertilisers, chemical feedstocks, shipping, and aviation.
Publisher: IGI Global
Date: 2017
DOI: 10.4018/978-1-5225-2589-9.CH001
Abstract: This chapter presents an indoor navigation solution for visually impaired pedestrians, which employs a combination of a radio frequency identification (RFID) tag array and dead-reckoning to achieve positioning and localisation. This form of positioning aims to reduce the deployment cost and complexity of pure RFID array implementations. This is a smartphone-based navigation system that leverages the new advancements of smartphone hardware to achieve large data handling and fast pathfinding. Users interact with the system through speech recognition and synthesis. This approach allows the system to be accessible to the masses due to the ubiquity of smartphones today. Uninformed pathfinding algorithms are implemented onto this system based on our previous study on the implementation suitability of uninformed searches. Testing results showed that this navigation system is suitable for use for the visually impaired pedestrians and the pathfinding algorithms performed consistently according to our algorithm proposals.
Publisher: IEEE
Date: 11-2017
Publisher: Springer International Publishing
Date: 2020
Publisher: CRC Press
Date: 21-08-2019
Publisher: IEEE
Date: 06-2018
Publisher: IGI Global
Date: 2017
DOI: 10.4018/978-1-5225-1785-6.CH015
Abstract: This chapter presents an indoor navigation solution for visually impaired pedestrians, which employs a combination of a radio frequency identification (RFID) tag array and dead-reckoning to achieve positioning and localisation. This form of positioning aims to reduce the deployment cost and complexity of pure RFID array implementations. This is a smartphone-based navigation system that leverages the new advancements of smartphone hardware to achieve large data handling and fast pathfinding. Users interact with the system through speech recognition and synthesis. This approach allows the system to be accessible to the masses due to the ubiquity of smartphones today. Uninformed pathfinding algorithms are implemented onto this system based on our previous study on the implementation suitability of uninformed searches. Testing results showed that this navigation system is suitable for use for the visually impaired pedestrians and the pathfinding algorithms performed consistently according to our algorithm proposals.
Publisher: IEEE
Date: 11-07-2021
Publisher: Elsevier BV
Date: 12-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: IEEE
Date: 04-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: Elsevier BV
Date: 04-2015
No related grants have been discovered for Kai Li Lim.