The linkedness of cubical polytopes : beyond the cube
- Bui, Hoa, Pineda-Villavicencio, Guillermo, Ugon, Julien
- Authors: Bui, Hoa , Pineda-Villavicencio, Guillermo , Ugon, Julien
- Date: 2024
- Type: Text , Journal article
- Relation: Discrete Mathematics Vol. 347, no. 3 (2024), p.
- Relation: https://purl.org/au-research/grants/arc/DP180100602
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- Description: A cubical polytope is a polytope with all its facets being combinatorially equivalent to cubes. The paper is concerned with the linkedness of the graphs of cubical polytopes. A graph with at least 2k vertices is k-linked if, for every set of k disjoint pairs of vertices, there are k vertex-disjoint paths joining the vertices in the pairs. We say that a polytope is k-linked if its graph is k-linked. In a previous paper [3] we proved that every cubical d-polytope is ⌊d/2⌋-linked. Here we strengthen this result by establishing the ⌊(d+1)/2⌋-linkedness of cubical d-polytopes, for every d≠3. A graph G is strongly k-linked if it has at least 2k+1 vertices and, for every vertex v of G, the subgraph G−v is k-linked. We say that a polytope is (strongly) k-linked if its graph is (strongly) k-linked. In this paper, we also prove that every cubical d-polytope is strongly ⌊d/2⌋-linked, for every d≠3. These results are best possible for this class of polytopes.
- Description: A cubical polytope is a polytope with all its facets being combinatorially equivalent to cubes. The paper is concerned with the linkedness of the graphs of cubical polytopes. A graph with at least 2k vertices is k-linked if, for every set of k disjoint pairs of vertices, there are k vertex-disjoint paths joining the vertices in the pairs. We say that a polytope is k-linked if its graph is k-linked. In a previous paper [3] we proved that every cubical d-polytope is
- Authors: Bui, Hoa , Pineda-Villavicencio, Guillermo , Ugon, Julien
- Date: 2024
- Type: Text , Journal article
- Relation: Discrete Mathematics Vol. 347, no. 3 (2024), p.
- Relation: https://purl.org/au-research/grants/arc/DP180100602
- Full Text:
- Reviewed:
- Description: A cubical polytope is a polytope with all its facets being combinatorially equivalent to cubes. The paper is concerned with the linkedness of the graphs of cubical polytopes. A graph with at least 2k vertices is k-linked if, for every set of k disjoint pairs of vertices, there are k vertex-disjoint paths joining the vertices in the pairs. We say that a polytope is k-linked if its graph is k-linked. In a previous paper [3] we proved that every cubical d-polytope is ⌊d/2⌋-linked. Here we strengthen this result by establishing the ⌊(d+1)/2⌋-linkedness of cubical d-polytopes, for every d≠3. A graph G is strongly k-linked if it has at least 2k+1 vertices and, for every vertex v of G, the subgraph G−v is k-linked. We say that a polytope is (strongly) k-linked if its graph is (strongly) k-linked. In this paper, we also prove that every cubical d-polytope is strongly ⌊d/2⌋-linked, for every d≠3. These results are best possible for this class of polytopes.
- Description: A cubical polytope is a polytope with all its facets being combinatorially equivalent to cubes. The paper is concerned with the linkedness of the graphs of cubical polytopes. A graph with at least 2k vertices is k-linked if, for every set of k disjoint pairs of vertices, there are k vertex-disjoint paths joining the vertices in the pairs. We say that a polytope is k-linked if its graph is k-linked. In a previous paper [3] we proved that every cubical d-polytope is
To be, or not to be, that is the question : stuttering into academia
- Authors: Meredith, Grant
- Date: 2024
- Type: Text , Book chapter
- Relation: Research partners with lived experience : stories from patients and survivors Chapter 4 p. 43-56
- Full Text: false
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- Description: In this chapter Grant Meredith, the discipline leader of Information Technology for the Global Professional School at Federation University (Australia) outlines his journey as a person who stutters from his rural Australian upbringing through to being an Information Technology academic. This passage to academia is a reflection on an unconventional odyssey that has meandered from blue collar careers to a university education and beyond. The author discusses what it means to him to have vocal difference and how it may have influenced his research path. Along the way he questions his identity as a person who stutters and find his own “community” to engage within.
Transcendental groups
- Authors: Morris, Sidney
- Date: 2024
- Type: Text , Journal article
- Relation: Topology Proceedings Vol. 63, no. (2024), p. 167-176
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- Description: In this note we introduce the notion of a transcendental group, that is, a subgroup G of the topological group C of all complex numbers such that every element of G except 0 is a transcendental number. All such topological groups are separable metrizable torsion-free abelian groups. If G
- Authors: Morris, Sidney
- Date: 2024
- Type: Text , Journal article
- Relation: Topology Proceedings Vol. 63, no. (2024), p. 167-176
- Full Text:
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- Description: In this note we introduce the notion of a transcendental group, that is, a subgroup G of the topological group C of all complex numbers such that every element of G except 0 is a transcendental number. All such topological groups are separable metrizable torsion-free abelian groups. If G
Who punched me in the back? becoming a CKD researcher
- Authors: Firmin, Sally
- Date: 2024
- Type: Text , Book chapter
- Relation: Research partners with lived experience : stories from patients and survivors Chapter 2 p. 17-26
- Full Text: false
- Reviewed:
- Description: Chronic kidney disease (CKD) is a silent, deadly killer. CKD causes your kidneys to become damaged and can no longer clean your blood. As a result, your body becomes overloaded with fluid, and you suffer from headaches, migraines, nausea, vomiting, and most days, it feels like someone punched you in the back, amongst other symptoms. Like many other Australians, it was too late when I was diagnosed with CKD. My kidney function had reduced to 18%. Despite following a strict diet and medication schedule, within 2 years of diagnosis, my kidney function reduced to less than 5%, and I became a haemodialysis patient. I have survived this time by using a positive mindset and regular meditation. This chapter is my story of CKD from a young child to the current day and how becoming a haemodialysis patient inspired me to become a CKD researcher with lived experience.
2022 World Hypertension League, resolve to save lives and International Society of Hypertension dietary sodium (salt) global call to action
- Campbell, Norm, Whelton, Paul, Orias, Marcelo, Wainford, Richard, Cappuccio, Francesco, Ide, Nicole, Neal, Bruce, Cohn, Jennifer, Cobb, Laura, Webster, Jacqui, Trieu, Kathy, He, Feng, McLean, Rachael, Blanco-Metzler, Adriana, Woodward, Mark, Khan, Nadia, Kokubo, Yoshihiro, Nederveen, Leo, Arcand, JoAnne, MacGregor, Graham, Owolabi, Mayowa, Lisheng, Liu, Parati, Gianfranco, Lackland, Daniel, Charchar, Fadi, Williams, Bryan, Tomaszewski, Maciej, Romero, Cesar, Champagne, Beatriz, L’Abbe, Mary
- Authors: Campbell, Norm , Whelton, Paul , Orias, Marcelo , Wainford, Richard , Cappuccio, Francesco , Ide, Nicole , Neal, Bruce , Cohn, Jennifer , Cobb, Laura , Webster, Jacqui , Trieu, Kathy , He, Feng , McLean, Rachael , Blanco-Metzler, Adriana , Woodward, Mark , Khan, Nadia , Kokubo, Yoshihiro , Nederveen, Leo , Arcand, JoAnne , MacGregor, Graham , Owolabi, Mayowa , Lisheng, Liu , Parati, Gianfranco , Lackland, Daniel , Charchar, Fadi , Williams, Bryan , Tomaszewski, Maciej , Romero, Cesar , Champagne, Beatriz , L’Abbe, Mary
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Human Hypertension Vol. 37, no. 6 (2023), p. 428-437
- Full Text:
- Reviewed:
- Description: **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Fadi Charchar" is provided in this record**
- Authors: Campbell, Norm , Whelton, Paul , Orias, Marcelo , Wainford, Richard , Cappuccio, Francesco , Ide, Nicole , Neal, Bruce , Cohn, Jennifer , Cobb, Laura , Webster, Jacqui , Trieu, Kathy , He, Feng , McLean, Rachael , Blanco-Metzler, Adriana , Woodward, Mark , Khan, Nadia , Kokubo, Yoshihiro , Nederveen, Leo , Arcand, JoAnne , MacGregor, Graham , Owolabi, Mayowa , Lisheng, Liu , Parati, Gianfranco , Lackland, Daniel , Charchar, Fadi , Williams, Bryan , Tomaszewski, Maciej , Romero, Cesar , Champagne, Beatriz , L’Abbe, Mary
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Human Hypertension Vol. 37, no. 6 (2023), p. 428-437
- Full Text:
- Reviewed:
- Description: **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Fadi Charchar" is provided in this record**
A blockchain-based deep-learning-driven architecture for quality routing in wireless sensor networks
- Khan, Zahoor, Amjad, Sana, Ahmed, Farwa, Almasoud, Abdullah, Imran, Muhammad, Javaid, Nadeem
- Authors: Khan, Zahoor , Amjad, Sana , Ahmed, Farwa , Almasoud, Abdullah , Imran, Muhammad , Javaid, Nadeem
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Access Vol. 11, no. (2023), p. 31036-31051
- Full Text:
- Reviewed:
- Description: Over the past few years, great importance has been given to wireless sensor networks (WSNs) as they play a significant role in facilitating the world with daily life services like healthcare, military, social products, etc. However, heterogeneous nature of WSNs makes them prone to various attacks, which results in low throughput, and high network delay and high energy consumption. In the WSNs, routing is performed using different routing protocols like low-energy adaptive clustering hierarchy (LEACH), heterogeneous gateway-based energy-aware multi-hop routing (HMGEAR), etc. In such protocols, some nodes in the network may perform malicious activities. Therefore, four deep learning (DL) techniques and a real-time message content validation (RMCV) scheme based on blockchain are used in the proposed network for the detection of malicious nodes (MNs). Moreover, to analyse the routing data in the WSN, DL models are trained on a state-of-the-art dataset generated from LEACH, known as WSN-DS 2016. The WSN contains three types of nodes: sensor nodes, cluster heads (CHs) and the base station (BS). The CHs after aggregating the data received from the sensor nodes, send it towards the BS. Furthermore, to overcome the single point of failure issue, a decentralized blockchain is deployed on CHs and BS. Additionally, MNs are removed from the network using RMCV and DL techniques. Moreover, legitimate nodes (LNs) are registered in the blockchain network using proof-of-authority consensus protocol. The protocol outperforms proof-of-work in terms of computational cost. Later, routing is performed between the LNs using different routing protocols and the results are compared with original LEACH and HMGEAR protocols. The results show that the accuracy of GRU is 97%, LSTM is 96%, CNN is 92% and ANN is 90%. Throughput, delay and the death of the first node are computed for LEACH, LEACH with DL, LEACH with RMCV, HMGEAR, HMGEAR with DL and HMGEAR with RMCV. Moreover, Oyente is used to perform the formal security analysis of the designed smart contract. The analysis shows that blockchain network is resilient against vulnerabilities. © 2013 IEEE.
A blockchain-based deep-learning-driven architecture for quality routing in wireless sensor networks
- Authors: Khan, Zahoor , Amjad, Sana , Ahmed, Farwa , Almasoud, Abdullah , Imran, Muhammad , Javaid, Nadeem
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Access Vol. 11, no. (2023), p. 31036-31051
- Full Text:
- Reviewed:
- Description: Over the past few years, great importance has been given to wireless sensor networks (WSNs) as they play a significant role in facilitating the world with daily life services like healthcare, military, social products, etc. However, heterogeneous nature of WSNs makes them prone to various attacks, which results in low throughput, and high network delay and high energy consumption. In the WSNs, routing is performed using different routing protocols like low-energy adaptive clustering hierarchy (LEACH), heterogeneous gateway-based energy-aware multi-hop routing (HMGEAR), etc. In such protocols, some nodes in the network may perform malicious activities. Therefore, four deep learning (DL) techniques and a real-time message content validation (RMCV) scheme based on blockchain are used in the proposed network for the detection of malicious nodes (MNs). Moreover, to analyse the routing data in the WSN, DL models are trained on a state-of-the-art dataset generated from LEACH, known as WSN-DS 2016. The WSN contains three types of nodes: sensor nodes, cluster heads (CHs) and the base station (BS). The CHs after aggregating the data received from the sensor nodes, send it towards the BS. Furthermore, to overcome the single point of failure issue, a decentralized blockchain is deployed on CHs and BS. Additionally, MNs are removed from the network using RMCV and DL techniques. Moreover, legitimate nodes (LNs) are registered in the blockchain network using proof-of-authority consensus protocol. The protocol outperforms proof-of-work in terms of computational cost. Later, routing is performed between the LNs using different routing protocols and the results are compared with original LEACH and HMGEAR protocols. The results show that the accuracy of GRU is 97%, LSTM is 96%, CNN is 92% and ANN is 90%. Throughput, delay and the death of the first node are computed for LEACH, LEACH with DL, LEACH with RMCV, HMGEAR, HMGEAR with DL and HMGEAR with RMCV. Moreover, Oyente is used to perform the formal security analysis of the designed smart contract. The analysis shows that blockchain network is resilient against vulnerabilities. © 2013 IEEE.
A brief guide to multi-objective reinforcement learning and planning JAAMAS track
- Hayes, Conor, Bargiacchi, Eugenio, Källström, Johan, Macfarlane, Matthew, Reymond, Mathieu, Verstraeten, Timothy, Zintgraf, Luisa, Dazeley, Richard, Heintz, Frederik, Howley, Enda, Irissappane, Aathirai, Mannion, Patrick, Nowé, Ann, Ramos, Gabriel, Restelli, Marcello, Vamplew, Peter, Roijers, Diederik
- Authors: Hayes, Conor , Bargiacchi, Eugenio , Källström, Johan , Macfarlane, Matthew , Reymond, Mathieu , Verstraeten, Timothy , Zintgraf, Luisa , Dazeley, Richard , Heintz, Frederik , Howley, Enda , Irissappane, Aathirai , Mannion, Patrick , Nowé, Ann , Ramos, Gabriel , Restelli, Marcello , Vamplew, Peter , Roijers, Diederik
- Date: 2023
- Type: Text , Conference paper
- Relation: 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, 29 May to 2 June 2023, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 2023-May, p. 1988-1990
- Full Text:
- Reviewed:
- Description: Real-world sequential decision-making tasks are usually complex, and require trade-offs between multiple - often conflicting - objectives. However, the majority of research in reinforcement learning (RL) and decision-theoretic planning assumes a single objective, or that multiple objectives can be handled via a predefined weighted sum over the objectives. Such approaches may oversimplify the underlying problem, and produce suboptimal results. This extended abstract outlines the limitations of using a semi-blind iterative process to solve multi-objective decision making problems. Our extended paper [4], serves as a guide for the application of explicitly multi-objective methods to difficult problems. © 2023 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
- Authors: Hayes, Conor , Bargiacchi, Eugenio , Källström, Johan , Macfarlane, Matthew , Reymond, Mathieu , Verstraeten, Timothy , Zintgraf, Luisa , Dazeley, Richard , Heintz, Frederik , Howley, Enda , Irissappane, Aathirai , Mannion, Patrick , Nowé, Ann , Ramos, Gabriel , Restelli, Marcello , Vamplew, Peter , Roijers, Diederik
- Date: 2023
- Type: Text , Conference paper
- Relation: 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, 29 May to 2 June 2023, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 2023-May, p. 1988-1990
- Full Text:
- Reviewed:
- Description: Real-world sequential decision-making tasks are usually complex, and require trade-offs between multiple - often conflicting - objectives. However, the majority of research in reinforcement learning (RL) and decision-theoretic planning assumes a single objective, or that multiple objectives can be handled via a predefined weighted sum over the objectives. Such approaches may oversimplify the underlying problem, and produce suboptimal results. This extended abstract outlines the limitations of using a semi-blind iterative process to solve multi-objective decision making problems. Our extended paper [4], serves as a guide for the application of explicitly multi-objective methods to difficult problems. © 2023 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
A case for causal loop diagrams to model electronic health records ecosystems
- Hashmi, Mustafa, McInnes, Angelique, Sahama, Tony, Stranieri, Andrew
- Authors: Hashmi, Mustafa , McInnes, Angelique , Sahama, Tony , Stranieri, Andrew
- Date: 2023
- Type: Text , Conference paper
- Relation: 2023 Australasian Computer Science Week, ACSW 2023, Melbourne, Australia, 31 January-3 February 2023, ACSW '23: Proceedings of the 2023 Australasian Computer Science Week p. 238-239
- Full Text: false
- Reviewed:
- Description: Causal loop diagrams (CLD) that emerged from systems thinking disciplines have been used to simulate complex inter-dependencies between causal factors in diverse phenomena. This paper highlights a process for generating a casual loop diagrams to represent the quality of electronic health record (EHR) ecosystem in a medical context. The quality inherent in the use of electronic health records for specific clinical purposes is taken to depend on factors including data integrity, reliability, relevance, timeliness and completeness. By improving the electronic health record ecosystem quality, health care providers can enhance their data sharing practices, and personalised patient care, while reducing the probabilities of medical errors. Ultimately the CLD can be used to run multiple simulations for several clinical case scenarios to understand the impact of various case phenomena on the quality of the electronic health record ecosystem. © 2023 ACM.
A community-wide approach to reducing risky drinking cultures in young people in rural Australia
- Murphy, Angela, Ollerenshaw, Alison
- Authors: Murphy, Angela , Ollerenshaw, Alison
- Date: 2023
- Type: Text , Journal article
- Relation: Australian Journal of Rural Health Vol. 31, no. 2 (2023), p. 204-217
- Full Text:
- Reviewed:
- Description: Objective: This study evaluated the impact of a multi-faceted, harm minimisation program addressing youth alcohol change and risky drinking behaviours in rural Australia. The role and influence of a multi-tiered community approach to changing alcohol cultures is examined. Setting: An alcohol culture change project for young people (12–18 years) was implemented in rural Victoria. It was informed by the Alcohol Cultures Framework, comprising community-wide events and youth-focused activities, co-designed with young people. The approach aimed at maximising engagement and reducing alcohol-related harm by targeting the shared activities and drinking practices of young people, parents and the community. Participants: Participants (n = 446) provided feedback specific to three key program activities for promoting alcohol change. Design: Mixed methods: Feedback sheets were collected, and interviews and focus groups were conducted with program participants. Results: Participants indicated that the program had informed their understanding of the way people in their region drink, and the social norms and practices around alcohol that encourage risky drinking. It influenced their short- and medium-term reactions, learnings and activities relating to alcohol consumption. The impact of the program was greatest in adults than young people although reflective learning and some behaviour change were evident across all age groups and community clusters. Conclusion: Community-wide health promotion events offer participants a deeper understanding of the ways in which dominant alcohol cultures inform the practices and activities of young people within a broader community context. Ensuring health promotion programs within a whole-of-community approach are established longer term, is recommended. © 2022 The Authors. Australian Journal of Rural Health published by John Wiley & Sons Australia, Ltd on behalf of National Rural Health Alliance Ltd.
- Authors: Murphy, Angela , Ollerenshaw, Alison
- Date: 2023
- Type: Text , Journal article
- Relation: Australian Journal of Rural Health Vol. 31, no. 2 (2023), p. 204-217
- Full Text:
- Reviewed:
- Description: Objective: This study evaluated the impact of a multi-faceted, harm minimisation program addressing youth alcohol change and risky drinking behaviours in rural Australia. The role and influence of a multi-tiered community approach to changing alcohol cultures is examined. Setting: An alcohol culture change project for young people (12–18 years) was implemented in rural Victoria. It was informed by the Alcohol Cultures Framework, comprising community-wide events and youth-focused activities, co-designed with young people. The approach aimed at maximising engagement and reducing alcohol-related harm by targeting the shared activities and drinking practices of young people, parents and the community. Participants: Participants (n = 446) provided feedback specific to three key program activities for promoting alcohol change. Design: Mixed methods: Feedback sheets were collected, and interviews and focus groups were conducted with program participants. Results: Participants indicated that the program had informed their understanding of the way people in their region drink, and the social norms and practices around alcohol that encourage risky drinking. It influenced their short- and medium-term reactions, learnings and activities relating to alcohol consumption. The impact of the program was greatest in adults than young people although reflective learning and some behaviour change were evident across all age groups and community clusters. Conclusion: Community-wide health promotion events offer participants a deeper understanding of the ways in which dominant alcohol cultures inform the practices and activities of young people within a broader community context. Ensuring health promotion programs within a whole-of-community approach are established longer term, is recommended. © 2022 The Authors. Australian Journal of Rural Health published by John Wiley & Sons Australia, Ltd on behalf of National Rural Health Alliance Ltd.
- Lu, Kui, Sultan, Ibrahim, Phung, Truong
- Authors: Lu, Kui , Sultan, Ibrahim , Phung, Truong
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Refrigeration Vol. 145, no. (2023), p. 467-480
- Full Text: false
- Reviewed:
- Description: As an emerging technology, the limaçon rotary compressor possesses great potential for fluid-processing applications. However, the technology and associated cost required to fabricate the limaçon machine could sometimes be beyond the capability of some manufacturers. To reduce the production cost, circolimaçon embodiment whose rotor and housing are constructed of circular arcs has been proposed. This paper is intended to investigate the viability of the circolimaçon embodiment of limaçon technology based on sealing performance. A nonlinear three-degree of freedom model is presented to describe the dynamic behaviour of the apex seal during the machine operation. Additionally, the leakage through the seal-housing gap is formulated by considering the inertia and viscous effects on the flow. A numerical illustration is offered to compare the performance of the circolimaçon embodiment with that of the limaçon-to-limaçon (L2L) type machine at different pressure ratios and operating speeds. The effect of limaçon aspect ratio on the apex seal dynamics is also investigated. Based on the results, it is found that the circolimaçon embodiment exhibits comparable performance to the L2L-type machine, despite having more significant seal vibrations. The differences in the volumetric and isentropic efficiencies between the two machines are found within 8% and 3%, respectively. Additionally, it is also discovered that the circolimaçon compressor with a small capacity undergoes lower level of seal dynamics, suggesting a better machine reliability. © 2022
- Eime, Rochelle, Charity, Melanie, Westerbeek, Hans, Harvey, Jack
- Authors: Eime, Rochelle , Charity, Melanie , Westerbeek, Hans , Harvey, Jack
- Date: 2023
- Type: Text , Book chapter
- Relation: Rural Quality of Life Chapter 17 p. 315-332
- Full Text: false
- Reviewed:
- Description: "People can be physically active in many different ways, including general physical activity and organised sports. In addition to the physical health benefits of participation, there is increasing evidence of broader health benefits –health-related quality of life of participation in organised community-level sports, specifically social and mental health benefits. The study utilised data from over 6,000 participants and investigated their sports and physical activity profiles and quality of life –social, physical and mental. In doing so, the propositions of the Health through Sport conceptual model regarding the different health benefits of different types of activity are investigated. Research questions: (1) What is the health-related quality of life of individuals in rural and regional areas (countryside) compared to metropolitan areas? (2) How does the health-related quality of life of individuals differ according to type of activity? (3) How do the activity profiles and health outcomes of individuals align to the Health through Sport conceptual model?The aim was to investigate the contribution of participation in sports and physical activity to the health-related quality of life of individuals before and during COVID-19. This study demonstrates that indicators of health-related quality of life differ among those living in rural and regional areas compared to metropolitan areas, in conjunction with differences attributable to gender, age and activity setting and mode." © Manchester University Press 2022.
- Tan, Zhi, Ooi, Ean Hin, Chiew, Yeong, Foo, Ji, Ng, Eddie, Ooi, Ean Tat
- Authors: Tan, Zhi , Ooi, Ean Hin , Chiew, Yeong , Foo, Ji , Ng, Eddie , Ooi, Ean Tat
- Date: 2023
- Type: Text , Journal article
- Relation: Ultrasonics Vol. 131, no. (2023), p.
- Full Text: false
- Reviewed:
- Description: Sonothrombolysis is a technique that utilises ultrasound waves to excite microbubbles surrounding a clot. Clot lysis is achieved through mechanical damage induced by acoustic cavitation and through local clot displacement induced by acoustic radiation force (ARF). Despite the potential of microbubble-mediated sonothrombolysis, the selection of the optimal ultrasound and microbubble parameters remains a challenge. Existing experimental studies are not able to provide a complete picture of how ultrasound and microbubble characteristics influence the outcome of sonothrombolysis. Likewise, computational studies have not been applied in detail in the context of sonothrombolysis. Hence, the effect of interaction between the bubble dynamics and acoustic propagation on the acoustic streaming and clot deformation remains unclear. In the present study, we report for the first time the computational framework that couples the bubble dynamic phenomena with the acoustic propagation in a bubbly medium to simulate microbubble-mediated sonothrombolysis using a forward-viewing transducer. The computational framework was used to investigate the effects of ultrasound properties (pressure and frequency) and microbubble characteristics (radius and concentration) on the outcome of sonothrombolysis. Four major findings were obtained from the simulation results: (i) ultrasound pressure plays the most dominant role over all the other parameters in affecting the bubble dynamics, acoustic attenuation, ARF, acoustic streaming, and clot displacement, (ii) smaller microbubbles could contribute to a more violent oscillation and improve the ARF simultaneously when they are stimulated at higher ultrasound pressure, (iii) higher microbubbles concentration increases the ARF, and (iv) the effect of ultrasound frequency on acoustic attenuation is dependent on the ultrasound pressure. These results may provide fundamental insight that is crucial in bringing sonothrombolysis closer to clinical implementation. © 2023 Elsevier B.V.
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review
- Bignold, Adam, Cruz, Francisco, Taylor, Matthew, Brys, Tim, Dazeley, Richard, Vamplew, Peter, Foale, Cameron
- Authors: Bignold, Adam , Cruz, Francisco , Taylor, Matthew , Brys, Tim , Dazeley, Richard , Vamplew, Peter , Foale, Cameron
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Ambient Intelligence and Humanized Computing Vol. 14, no. 4 (2023), p. 3621-3644
- Full Text:
- Reviewed:
- Description: A long-term goal of reinforcement learning agents is to be able to perform tasks in complex real-world scenarios. The use of external information is one way of scaling agents to more complex problems. However, there is a general lack of collaboration or interoperability between different approaches using external information. In this work, while reviewing externally-influenced methods, we propose a conceptual framework and taxonomy for assisted reinforcement learning, aimed at fostering collaboration by classifying and comparing various methods that use external information in the learning process. The proposed taxonomy details the relationship between the external information source and the learner agent, highlighting the process of information decomposition, structure, retention, and how it can be used to influence agent learning. As well as reviewing state-of-the-art methods, we identify current streams of reinforcement learning that use external information in order to improve the agent’s performance and its decision-making process. These include heuristic reinforcement learning, interactive reinforcement learning, learning from demonstration, transfer learning, and learning from multiple sources, among others. These streams of reinforcement learning operate with the shared objective of scaffolding the learner agent. Lastly, we discuss further possibilities for future work in the field of assisted reinforcement learning systems. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
- Authors: Bignold, Adam , Cruz, Francisco , Taylor, Matthew , Brys, Tim , Dazeley, Richard , Vamplew, Peter , Foale, Cameron
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Ambient Intelligence and Humanized Computing Vol. 14, no. 4 (2023), p. 3621-3644
- Full Text:
- Reviewed:
- Description: A long-term goal of reinforcement learning agents is to be able to perform tasks in complex real-world scenarios. The use of external information is one way of scaling agents to more complex problems. However, there is a general lack of collaboration or interoperability between different approaches using external information. In this work, while reviewing externally-influenced methods, we propose a conceptual framework and taxonomy for assisted reinforcement learning, aimed at fostering collaboration by classifying and comparing various methods that use external information in the learning process. The proposed taxonomy details the relationship between the external information source and the learner agent, highlighting the process of information decomposition, structure, retention, and how it can be used to influence agent learning. As well as reviewing state-of-the-art methods, we identify current streams of reinforcement learning that use external information in order to improve the agent’s performance and its decision-making process. These include heuristic reinforcement learning, interactive reinforcement learning, learning from demonstration, transfer learning, and learning from multiple sources, among others. These streams of reinforcement learning operate with the shared objective of scaffolding the learner agent. Lastly, we discuss further possibilities for future work in the field of assisted reinforcement learning systems. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
- Wang, Yanping, Wang, Xiaofen, Dai, Hong-Ning, Zhang, Xiaosong, Imran, Muhammad
- Authors: Wang, Yanping , Wang, Xiaofen , Dai, Hong-Ning , Zhang, Xiaosong , Imran, Muhammad
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Transactions on Industrial Informatics Vol. 19, no. 6 (2023), p. 7835-7847
- Full Text: false
- Reviewed:
- Description: Intelligent Transport Systems (ITS) have received growing attention recently driven by technical advances in Industrial Internet of Vehicles (IIoV). In IIoV, vehicles report traffic data to management infrastructures to achieve better ITS services. To ensure security and privacy, many anonymous authentication-enabled data reporting protocols are proposed. However, these protocols usually require a large number of preloaded pseudonyms or involve a costly and irrevocable group signature. Thus, they are not ready for realistic deployment due to large storage overhead, expensive computation costs, or absence of malicious users' revocation. To address these issues, we present a novel data reporting protocol for edge-assisted ITS in this paper, where the traffic data is sent to distributed edge nodes for local processing. Specifically, we propose a new anonymous authentication scheme fine-tuned to fulfill the needs of vehicular data reporting, which allows authenticated vehicles to report unlimited unlinkable messages to edge nodes without huge pseudonyms download and storage costs. Moreover, we designed an efficient certificate update scheme based on a bivariate polynomial function. In this way, malicious vehicles can be revoked with time complexity O(1). The security analysis demonstrates that our protocol satisfies source authentication, anonymity, unlinkability, traceability, revocability, nonframeability, and nonrepudiation. Further, extensive simulation results show that the performance of our protocol is greatly improved since the signature size is reduced by at least 8%, the computation costs in message signing and verification are reduced by at least 56% and 67%, respectively, and the packet loss rate is reduced by at least 14%. © 2005-2012 IEEE.
A depth-based hybrid approach for safe flight corridor generation in memoryless planning
- Nguyen, Thai, Murshed, Mamzur, Choudhury, Tanveer, Keogh, Kathleen, Appuhamillage, Gayan, Nguyen, Linh
- Authors: Nguyen, Thai , Murshed, Mamzur , Choudhury, Tanveer , Keogh, Kathleen , Appuhamillage, Gayan , Nguyen, Linh
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 16 (2023), p.
- Full Text:
- Reviewed:
- Description: This paper presents a depth-based hybrid method to generate safe flight corridors for a memoryless local navigation planner. It is first proposed to use raw depth images as inputs in the learning-based object-detection engine with no requirement for map fusion. We then employ an object-detection network to directly predict the base of polyhedral safe corridors in a new raw depth image. Furthermore, we apply a verification procedure to eliminate any false predictions so that the resulting collision-free corridors are guaranteed. More importantly, the proposed mechanism helps produce separate safe corridors with minimal overlap that are suitable to be used as space boundaries for path planning. The average intersection of union (IoU) of corridors obtained by the proposed algorithm is less than 2%. To evaluate the effectiveness of our method, we incorporated it into a memoryless planner with a straight-line path-planning algorithm. We then tested the entire system in both synthetic and real-world obstacle-dense environments. The obtained results with very high success rates demonstrate that the proposed approach is highly capable of producing safe corridors for memoryless local planning. © 2023 by the authors.
- Authors: Nguyen, Thai , Murshed, Mamzur , Choudhury, Tanveer , Keogh, Kathleen , Appuhamillage, Gayan , Nguyen, Linh
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 16 (2023), p.
- Full Text:
- Reviewed:
- Description: This paper presents a depth-based hybrid method to generate safe flight corridors for a memoryless local navigation planner. It is first proposed to use raw depth images as inputs in the learning-based object-detection engine with no requirement for map fusion. We then employ an object-detection network to directly predict the base of polyhedral safe corridors in a new raw depth image. Furthermore, we apply a verification procedure to eliminate any false predictions so that the resulting collision-free corridors are guaranteed. More importantly, the proposed mechanism helps produce separate safe corridors with minimal overlap that are suitable to be used as space boundaries for path planning. The average intersection of union (IoU) of corridors obtained by the proposed algorithm is less than 2%. To evaluate the effectiveness of our method, we incorporated it into a memoryless planner with a straight-line path-planning algorithm. We then tested the entire system in both synthetic and real-world obstacle-dense environments. The obtained results with very high success rates demonstrate that the proposed approach is highly capable of producing safe corridors for memoryless local planning. © 2023 by the authors.
A framework for adoption decision process for blockchain technology - an institutional and actor-network theory perspective
- Authors: Kaushik, Shipra
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: Blockchain has been the most promising technology of the recent times. Originated from bitcoin, a blockchain technology use case has now been explored across almost every industry. It provides several novel technological features like transparency, disintermediation, immutability, trust among stakeholders and decentralisation. Despite so many advantages, the overview of challenges around blockchain adoption has revealed that there is a scarcity of understanding about the process of blockchain adoption decisions. Several organisations have failed to take advantage of blockchain's potential due to uneven adoption across industries and regions. Whether to use blockchain in their business is a difficult decision for many organisations. To fill this gap, this study examined the adoption decision process of blockchain in organisations. Firstly, there is a need of framework that details the steps in the blockchain adoption decision process, including tasks involved and the rationales for the actions taken. This understanding will help the potential adopters to make a successful decision to adopt blockchain technology for their organisation. Secondly, very few studies have examined the factors that influence the stakeholders’ interactions and dynamics while making technology adoption decisions, especially in blockchain based applications. When systems are designed to protect privacy or obscure actors intentionally, such as blockchain platforms, it can be challenging to identify them and understand their roles. Blockchain being an inter-organisational technology, primarily depends on the involvement of internal and external stakeholders. Thus, this study explored the actors involved in the adoption decision process and their roles while aligning other actors towards blockchain adoption. Thirdly, as these actors act as stakeholders while making decision, they act as rational individuals. Therefore, this study also explored their rationales while they are involved in technology adoption decisions to have an effective outcome of the decision-making process. To achieve these objectives, this study utilises Innovation Translation approach derived from Actor-Network Theory and Institutional Theory for technology adoption. The study has utilised a three- round qualitative Delphi method through semi structured interviews to gather views from a panel of experts from organisations who have experienced the blockchain adoption decision process for their business. The targeted experts for this study were categorized as Adopters, Non-Adopters (dropped the idea) and Consultants using selective purposive sampling. The first two rounds were exploratory in nature, and to extend the validity of the responses gathered, the final round was a confirmatory round of interviews. For this study, the saturation was seen with ten experts in the panel for round 2 and round 3. For the pilot study eight participants agreed to be part of the panel. The interviews were recorded, transcribed and analysed using thematic analysis in the NVivo tool. The analysis confirmed the use of Innovation Translation approach in literature for understanding the actors and their roles, by giving a rich interpretation of the results in understanding the crucial interactions among the actors and drawing useful findings. The interpretation also provided an insight into the institutionalisation of blockchain by exploring the institutional pressures. The study has confirmed the existence of many pressures that existed for other technologies, remain for blockchain adoption too like hype, curiosity, competitiveness, business value, cost and time but has explored new institutional pressures with blockchain adoption decision process like understanding among consultants and adopting organisations, and process participations needs. Utilising Institutional Theory for blockchain technology has also revealed a fourth pressure that is exerted by the technology itself like maturity, consensus, network dominancy and technological features that are primarily seen as blockchain being an inter-organisational and a new technology that has not been accepted widely in organisations. Achieving the objectives of this study, the study has proposed a consolidated framework for the blockchain adoption decision process from an exploratory view. The first of its kind in literature, that elaborates on the stages involved in blockchain adoption decision process, identify the actors and explains their role at each stage and how those roles evolve and also provides an insight into the institutionalisation of blockchain by exploring the pressures. These gaps, objectives, method, analysis, and contributions are further discussed in this thesis comprehensively.
- Description: Doctor of Philosophy
- Authors: Kaushik, Shipra
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: Blockchain has been the most promising technology of the recent times. Originated from bitcoin, a blockchain technology use case has now been explored across almost every industry. It provides several novel technological features like transparency, disintermediation, immutability, trust among stakeholders and decentralisation. Despite so many advantages, the overview of challenges around blockchain adoption has revealed that there is a scarcity of understanding about the process of blockchain adoption decisions. Several organisations have failed to take advantage of blockchain's potential due to uneven adoption across industries and regions. Whether to use blockchain in their business is a difficult decision for many organisations. To fill this gap, this study examined the adoption decision process of blockchain in organisations. Firstly, there is a need of framework that details the steps in the blockchain adoption decision process, including tasks involved and the rationales for the actions taken. This understanding will help the potential adopters to make a successful decision to adopt blockchain technology for their organisation. Secondly, very few studies have examined the factors that influence the stakeholders’ interactions and dynamics while making technology adoption decisions, especially in blockchain based applications. When systems are designed to protect privacy or obscure actors intentionally, such as blockchain platforms, it can be challenging to identify them and understand their roles. Blockchain being an inter-organisational technology, primarily depends on the involvement of internal and external stakeholders. Thus, this study explored the actors involved in the adoption decision process and their roles while aligning other actors towards blockchain adoption. Thirdly, as these actors act as stakeholders while making decision, they act as rational individuals. Therefore, this study also explored their rationales while they are involved in technology adoption decisions to have an effective outcome of the decision-making process. To achieve these objectives, this study utilises Innovation Translation approach derived from Actor-Network Theory and Institutional Theory for technology adoption. The study has utilised a three- round qualitative Delphi method through semi structured interviews to gather views from a panel of experts from organisations who have experienced the blockchain adoption decision process for their business. The targeted experts for this study were categorized as Adopters, Non-Adopters (dropped the idea) and Consultants using selective purposive sampling. The first two rounds were exploratory in nature, and to extend the validity of the responses gathered, the final round was a confirmatory round of interviews. For this study, the saturation was seen with ten experts in the panel for round 2 and round 3. For the pilot study eight participants agreed to be part of the panel. The interviews were recorded, transcribed and analysed using thematic analysis in the NVivo tool. The analysis confirmed the use of Innovation Translation approach in literature for understanding the actors and their roles, by giving a rich interpretation of the results in understanding the crucial interactions among the actors and drawing useful findings. The interpretation also provided an insight into the institutionalisation of blockchain by exploring the institutional pressures. The study has confirmed the existence of many pressures that existed for other technologies, remain for blockchain adoption too like hype, curiosity, competitiveness, business value, cost and time but has explored new institutional pressures with blockchain adoption decision process like understanding among consultants and adopting organisations, and process participations needs. Utilising Institutional Theory for blockchain technology has also revealed a fourth pressure that is exerted by the technology itself like maturity, consensus, network dominancy and technological features that are primarily seen as blockchain being an inter-organisational and a new technology that has not been accepted widely in organisations. Achieving the objectives of this study, the study has proposed a consolidated framework for the blockchain adoption decision process from an exploratory view. The first of its kind in literature, that elaborates on the stages involved in blockchain adoption decision process, identify the actors and explains their role at each stage and how those roles evolve and also provides an insight into the institutionalisation of blockchain by exploring the pressures. These gaps, objectives, method, analysis, and contributions are further discussed in this thesis comprehensively.
- Description: Doctor of Philosophy
A fully automated self-help biopsychosocial transdiagnostic digital intervention to reduce anxiety and/or depression and improve emotional regulation and well-being: pre-follow-up single-arm feasibility trial
- Klein, Britt, Nguyen, Huy, McLaren, Suzanne, Andrews, Brooke, Shandley, Kerrie
- Authors: Klein, Britt , Nguyen, Huy , McLaren, Suzanne , Andrews, Brooke , Shandley, Kerrie
- Date: 2023
- Type: Text , Journal article
- Relation: JMIR Formative Research Vol. 7, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Anxiety disorders and depression are prevalent disorders with high comorbidity, leading to greater chronicity and severity of symptoms. Given the accessibility to treatment issues, more evaluation is needed to assess the potential benefits of fully automated self-help transdiagnostic digital interventions. Innovating beyond the current transdiagnostic one-size-fits-all shared mechanistic approach may also lead to further improvements. Objective: The primary objective of this study was to explore the preliminary effectiveness and acceptability of a new fully automated self-help biopsychosocial transdiagnostic digital intervention (Life Flex) aimed at treating anxiety and/or depression, as well as improving emotional regulation; emotional, social, and psychological well-being; optimism; and health-related quality of life. Methods: This was a real-world pre-during-post-follow-up feasibility trial design evaluation of Life Flex. Participants were assessed at the preintervention time point (week 0), during intervention (weeks 3 and 5), at the postintervention time point (week 8), and at 1- and 3-month follow-ups (weeks 12 and 20, respectively). Results: The results provided early support for the Life Flex program in reducing anxiety (Generalized Anxiety Disorder 7), depression (Patient Health Questionnaire 9), psychological distress (Kessler 6), and emotional dysregulation (Difficulties in Emotional Regulation 36) and increasing emotional, social, and psychological well-being (Mental Health Continuum-Short Form); optimism (Revised Life Orientation Test); and health-related quality of life (EQ-5D-3L Utility Index and Health Rating; all false discovery rate [FDR] < .001). Large within-group treatment effect sizes (range |d|=0.82 to 1.33) were found for most variables from pre- to postintervention assessments and at the 1- and 3-month follow-up. The exceptions were medium treatment effect sizes for EQ-5D-3L Utility Index (range Cohen d=
- Authors: Klein, Britt , Nguyen, Huy , McLaren, Suzanne , Andrews, Brooke , Shandley, Kerrie
- Date: 2023
- Type: Text , Journal article
- Relation: JMIR Formative Research Vol. 7, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Anxiety disorders and depression are prevalent disorders with high comorbidity, leading to greater chronicity and severity of symptoms. Given the accessibility to treatment issues, more evaluation is needed to assess the potential benefits of fully automated self-help transdiagnostic digital interventions. Innovating beyond the current transdiagnostic one-size-fits-all shared mechanistic approach may also lead to further improvements. Objective: The primary objective of this study was to explore the preliminary effectiveness and acceptability of a new fully automated self-help biopsychosocial transdiagnostic digital intervention (Life Flex) aimed at treating anxiety and/or depression, as well as improving emotional regulation; emotional, social, and psychological well-being; optimism; and health-related quality of life. Methods: This was a real-world pre-during-post-follow-up feasibility trial design evaluation of Life Flex. Participants were assessed at the preintervention time point (week 0), during intervention (weeks 3 and 5), at the postintervention time point (week 8), and at 1- and 3-month follow-ups (weeks 12 and 20, respectively). Results: The results provided early support for the Life Flex program in reducing anxiety (Generalized Anxiety Disorder 7), depression (Patient Health Questionnaire 9), psychological distress (Kessler 6), and emotional dysregulation (Difficulties in Emotional Regulation 36) and increasing emotional, social, and psychological well-being (Mental Health Continuum-Short Form); optimism (Revised Life Orientation Test); and health-related quality of life (EQ-5D-3L Utility Index and Health Rating; all false discovery rate [FDR] < .001). Large within-group treatment effect sizes (range |d|=0.82 to 1.33) were found for most variables from pre- to postintervention assessments and at the 1- and 3-month follow-up. The exceptions were medium treatment effect sizes for EQ-5D-3L Utility Index (range Cohen d=
- Ollerenshaw, Alison, Camilleri, Margaret
- Authors: Ollerenshaw, Alison , Camilleri, Margaret
- Date: 2023
- Type: Text , Journal article
- Relation: Australian Journal of Primary Health Vol. 29, no. 5 (2023), p. 422-427
- Full Text: false
- Reviewed:
- Description: Health justice partnerships (HJP) are innovative models for delivering integrated health and legal services to people experiencing complex issues. An HJP was established in regional Victoria, Australia, for young people. Promoting the program to young people and workers was essential for program uptake. There is a dearth of published information about strategies that support program promotion for young people and workers. In this practice and innovation paper, three promotional strategies were employed: a dedicated program website, secondary consultations, and legal education and information sessions. Each strategy is examined, with information presented about why and how these strategies were implemented alongside this HJP. The strengths and limitations of each strategy are explored, with some strategies appearing to engage audiences with the program more than others. The insights about each of the strategies established for this program may inform other HJPs with their planning and implementation for increased program awareness. © 2023 The Author(s) (or their employer(s)).
A hybrid PWM strategy for SMES integrated grid-feeding transformerless PV Inverters
- Mondal, Sudipto, Biswas, Shuvra, Bin Islam, Md Sabbir, Islam, Md Rabiul, Shah, Rakibuzzaman
- Authors: Mondal, Sudipto , Biswas, Shuvra , Bin Islam, Md Sabbir , Islam, Md Rabiul , Shah, Rakibuzzaman
- Date: 2023
- Type: Text , Conference paper
- Relation: 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023, Tianjin, China, 27-29 October 2023, 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023
- Full Text:
- Reviewed:
- Description: This paper presents a new hybrid pulse width modulation (PWM) strategy for improving the performance of superconducting magnetic energy storage (SMES) integrated solar photovoltaic (PV) based grid-feeding transformerless H6 inverter systems. The proposed PWM strategy offers significantly lower total harmonic distortion (THD) of output voltage compared to existing unipolar PWM (UPPWM), bipolar PWM (BPPWM), and some well-established advanced PWM techniques. A new carrier and reference signals are used to develop the proposed hybrid PWM strategy, which ensures low leakage current compared to existing counterparts. The presented inverter system is simulated in MATLAB/Simulink and PLECS computer simulation environment. Apart from simulated results, some preliminary experimental test results are also shown to validate the superiority of the proposed PWM strategy. © 2023 IEEE
- Authors: Mondal, Sudipto , Biswas, Shuvra , Bin Islam, Md Sabbir , Islam, Md Rabiul , Shah, Rakibuzzaman
- Date: 2023
- Type: Text , Conference paper
- Relation: 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023, Tianjin, China, 27-29 October 2023, 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023
- Full Text:
- Reviewed:
- Description: This paper presents a new hybrid pulse width modulation (PWM) strategy for improving the performance of superconducting magnetic energy storage (SMES) integrated solar photovoltaic (PV) based grid-feeding transformerless H6 inverter systems. The proposed PWM strategy offers significantly lower total harmonic distortion (THD) of output voltage compared to existing unipolar PWM (UPPWM), bipolar PWM (BPPWM), and some well-established advanced PWM techniques. A new carrier and reference signals are used to develop the proposed hybrid PWM strategy, which ensures low leakage current compared to existing counterparts. The presented inverter system is simulated in MATLAB/Simulink and PLECS computer simulation environment. Apart from simulated results, some preliminary experimental test results are also shown to validate the superiority of the proposed PWM strategy. © 2023 IEEE
A hydrogen supply-chain model powering Australian isolated communities
- Hasan, Tanvir, Hassan, Nur, Shah, Rakibuzzaman, Emami, Kianoush, Anderson, Jake
- Authors: Hasan, Tanvir , Hassan, Nur , Shah, Rakibuzzaman , Emami, Kianoush , Anderson, Jake
- Date: 2023
- Type: Text , Journal article
- Relation: Energy Reports Vol. 9, no. (2023), p. 209-214
- Full Text:
- Reviewed:
- Description: This article proposes a supply chain-based green hydrogen microgrid modelling for a number of remote Australian communities. Green hydrogen can be used as an emissions-free fuel source for electricity generation in places where large-scale renewable energy production is impossible due to land availability, population, or government regulations. This research focuses on the Torres Strait Island communities in northern Australia, where the transition from diesel to renewable electricity generation is difficult due to very limited land availability on most islands. Due to geographical constraints, low population and smaller electrical load, the green hydrogen needs to be sourced from somewhere else. This research presents a green hydrogen supply chain model that leverages the land availability of one island to produce hydrogen to supply other island communities. In addition, this research presents a model of producing and transporting green hydrogen while supplying cheaper electricity to the communities at focus. The study has used a transitional scenario planning approach and the HOMER simulation platform to find the least-cost solution. Based on the results, a levelised cost of energy range of AU$0.42 and AU$0.44 was found. With the help of a green hydrogen supply chain, CO2 emissions at the selected sites could be cut by 90 %. This study can be used as a guide for small clustered communities that could not support or justify large-scale renewable generation facilities but need more opportunities to install renewable generation. © 2023
- Authors: Hasan, Tanvir , Hassan, Nur , Shah, Rakibuzzaman , Emami, Kianoush , Anderson, Jake
- Date: 2023
- Type: Text , Journal article
- Relation: Energy Reports Vol. 9, no. (2023), p. 209-214
- Full Text:
- Reviewed:
- Description: This article proposes a supply chain-based green hydrogen microgrid modelling for a number of remote Australian communities. Green hydrogen can be used as an emissions-free fuel source for electricity generation in places where large-scale renewable energy production is impossible due to land availability, population, or government regulations. This research focuses on the Torres Strait Island communities in northern Australia, where the transition from diesel to renewable electricity generation is difficult due to very limited land availability on most islands. Due to geographical constraints, low population and smaller electrical load, the green hydrogen needs to be sourced from somewhere else. This research presents a green hydrogen supply chain model that leverages the land availability of one island to produce hydrogen to supply other island communities. In addition, this research presents a model of producing and transporting green hydrogen while supplying cheaper electricity to the communities at focus. The study has used a transitional scenario planning approach and the HOMER simulation platform to find the least-cost solution. Based on the results, a levelised cost of energy range of AU$0.42 and AU$0.44 was found. With the help of a green hydrogen supply chain, CO2 emissions at the selected sites could be cut by 90 %. This study can be used as a guide for small clustered communities that could not support or justify large-scale renewable generation facilities but need more opportunities to install renewable generation. © 2023