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DQN approach for adaptive self-healing of VNFs in cloud-native network

- Arulappan, Arunkumar, Mahanti, Aniket, Passi, Kalpdrum, Srinivasan, Thiruvenkadam, Naha, Ranesh, Raja, Gunasekaran

  • Authors: Arulappan, Arunkumar , Mahanti, Aniket , Passi, Kalpdrum , Srinivasan, Thiruvenkadam , Naha, Ranesh , Raja, Gunasekaran
  • Date: 2024
  • Type: Text , Journal article
  • Relation: IEEE Access Vol. 12, no. (2024), p. 34489-34504
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  • Description: The transformation from physical network function to Virtual Network Function (VNF) requires a fundamental design change in how applications and services are tested and assured in a hybrid virtual network. Once the VNFs are onboarded in a cloud network infrastructure, operators need to test VNFs in real-time at the time of instantiation automatically. This paper explicitly analyses the problem of adaptive self-healing of a Virtual Machine (VM) allocated by the VNF with the Deep Reinforcement Learning (DRL) approach. The DRL-based big data collection and analytics engine performs aggregation to probe and analyze data for troubleshooting and performance management. This engine helps to determine corrective actions (self-healing), such as scaling or migrating VNFs. Hence, we proposed a Deep Queue Learning (DQL) based Deep Queue Networks (DQN) mechanism for self-healing VNFs in the virtualized infrastructure manager. Virtual network probes of closed-loop orchestration perform the automation of the VNF and provide analytics for real-time, policy-driven orchestration in an open networking automation platform through the stochastic gradient descent method for VNF service assurance and network reliability. The proposed DQN/DDQN mechanism optimizes the price and lowers the cost by 18% for resource usage without disrupting the Quality of Service (QoS) provided by the VNF. The outcome of adaptive self-healing of the VNFs enhances the computational performance by 27% compared to other state-of-the-art algorithms. © 2013 IEEE.

Fuzzy multiplier, sum and intersection rules in non-Lipschitzian settings : decoupling approach revisited

- Fabian, Marian, Kruger, Alexander, Mehlitz, Patrick

  • Authors: Fabian, Marian , Kruger, Alexander , Mehlitz, Patrick
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Journal of Mathematical Analysis and Applications Vol. 532, no. 2 (2024), p.
  • Relation: https://purl.org/au-research/grants/arc/DP160100854
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  • Description: We revisit the decoupling approach widely used (often intuitively) in nonlinear analysis and optimization and initially formalized about a quarter of a century ago by Borwein & Zhu, Borwein & Ioffe and Lassonde. It allows one to streamline proofs of necessary optimality conditions and calculus relations, unify and simplify the respective statements, clarify and in many cases weaken the assumptions. In this paper we study weaker concepts of quasiuniform infimum, quasiuniform lower semicontinuity and quasiuniform minimum, putting them into the context of the general theory developed by the aforementioned authors. Along the way, we unify the terminology and notation and fill in some gaps in the general theory. We establish rather general primal and dual necessary conditions characterizing quasiuniform

Lifestyle management of hypertension : International Society of Hypertension position paper endorsed by the World Hypertension League and European Society of Hypertension

- Charchar, Fadi, Prestes, Priscilla, Mills, Charlotte, Ching, Siew, Neupane, Dinesh, Marques, Francine, Sharman, James, Vogt, Liffert, Burrell, Louise, Korostovtseva, Lyudmila, Zec, Manja, Patil, Mansi, Schultz, Martin, Wallen, Matthew, Renna, Nicolás, Islam, Sheikh, Hiremath, Swapnil, Gyeltshen, Tshewang, Chia, Yook-Chin, Gupta, Abhinav, Schutte, Aletta, Klein, Britt, Borghi, Claudio, Browning, Colette, Czesnikiewicz-Guzik, Marta, Lee, Hae-Young, Itoh, Hiroshi, Miura, Katsuyuki, Akinnibosun, Olutope, Shane Thomas

  • Authors: Charchar, Fadi , Prestes, Priscilla , Mills, Charlotte , Ching, Siew , Neupane, Dinesh , Marques, Francine , Sharman, James , Vogt, Liffert , Burrell, Louise , Korostovtseva, Lyudmila , Zec, Manja , Patil, Mansi , Schultz, Martin , Wallen, Matthew , Renna, Nicolás , Islam, Sheikh , Hiremath, Swapnil , Gyeltshen, Tshewang , Chia, Yook-Chin , Gupta, Abhinav , Schutte, Aletta , Klein, Britt , Borghi, Claudio , Browning, Colette , Czesnikiewicz-Guzik, Marta , Lee, Hae-Young , Itoh, Hiroshi , Miura, Katsuyuki , Akinnibosun, Olutope , Shane Thomas
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Journal of hypertension Vol. 42, no. 1 (2024), p. 23-49
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  • Description: Hypertension, defined as persistently elevated systolic blood pressure (SBP) >140 mmHg and/or diastolic blood pressure (DBP) at least 90 mmHg (International Society of Hypertension guidelines), affects over 1.5 billion people worldwide. Hypertension is associated with increased risk of cardiovascular disease (CVD) events (e.g. coronary heart disease, heart failure and stroke) and death. An international panel of experts convened by the International Society of Hypertension College of Experts compiled lifestyle management recommendations as first-line strategy to prevent and control hypertension in adulthood. We also recommend that lifestyle changes be continued even when blood pressure-lowering medications are prescribed. Specific recommendations based on literature evidence are summarized with advice to start these measures early in life, including maintaining a healthy body weight, increased levels of different types of physical activity, healthy eating and drinking, avoidance and cessation of smoking and alcohol use, management of stress and sleep levels. We also discuss the relevance of specific approaches including consumption of sodium, potassium, sugar, fibre, coffee, tea, intermittent fasting as well as integrated strategies to implement these recommendations using, for example, behaviour change-related technologies and digital tools. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliates “Fadi Charchar, Priscilla Prestes, Britt Klein, Colette Browning, Olutope Akinnibosun and Shane Thomas” are provided in this record**
  • Description: Hypertension, defined as persistently elevated systolic blood pressure (SBP) >140 mmHg and/or diastolic blood pressure (DBP) at least 90 mmHg (International Society of Hypertension guidelines), affects over 1.5 billion people worldwide. Hypertension is associated with increased risk of cardiovascular disease (CVD) events (e.g. coronary heart disease, heart failure and stroke) and death. An international panel of experts convened by the International Society of Hypertension College of Experts compiled lifestyle management recommendations as first-line strategy to prevent and control hypertension in adulthood. We also recommend that lifestyle changes be continued even when blood pressure-lowering medications are prescribed. Specific recommendations based on literature evidence are summarized with advice to start these measures early in life, including maintaining a healthy body weight, increased levels of different types of physical activity, healthy eating and drinking, avoidance and cessation of smoking and alcohol use, management of stress and sleep levels. We also discuss the relevance of specific approaches including consumption of sodium, potassium, sugar, fibre, coffee, tea, intermittent fasting as well as integrated strategies to implement these recommendations using, for example, behaviour change-related technologies and digital tools. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliates “Fadi Charchar, Priscilla Prestes, Britt Klein, Colette Browning, Olutope Akinnibossun and Shane Thomas” are provided in this record**

Temporal samples of visual information guides skilled interception

- Müller, Sean, Beseler, Bradley, Morris-Binelli, Khaya, Mesagno, Christopher

  • Authors: Müller, Sean , Beseler, Bradley , Morris-Binelli, Khaya , Mesagno, Christopher
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Frontiers in Psychology Vol. 15, no. (2024), p.
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  • Description: This study investigated whether performance of an interceptive skill requires an intact visual-perception-action cycle. Eleven skilled male Australian rules football athletes (Mage = 17.54, SD = 0.15) were recruited from an elite developmental pathway squad for a within-subject study. Participants were required to kick a ball directly at a goal from a 20-meter distance while wearing a pair of stroboscopic glasses. The glasses were used to create four vision conditions. Condition one kept intact the visual-perception-action cycle with uninterrupted vision of the motor skill. Three other conditions included stroboscopic vision that presented temporal samples of vision, which interrupted the perception-action cycle through progressive increases to intermittent vision occlusion of the motor skill. Goal kick error of ball position relative to a central target line within the goal and number of successful goals kicked were measured. Written report of internal and external focus of attention was also measured after each vision condition. Generalized estimating equation analysis did not reveal a significant decrement in kick target error, nor accuracy of goals scored, across normal to stroboscopic vision conditions. Performance was maintained despite a shift in attention focus from external to internal across normal to stroboscopic vision conditions. These findings have theoretical and practical implications for the visual regulation of skilled interceptive actions. Copyright © 2024 Müller, Beseler, Morris-Binelli and Mesagno.

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

Transcendental groups

- Morris, Sidney

  • 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

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
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  • 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

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
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  • 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.

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
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  • 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.

A depth-based hybrid approach for safe flight corridor generation in memoryless planning

- Nguyen, Thai, Murshed, Mamzur, Choudhury, Tanveer, Keogh, Kathleen, Kahandawa Appuhamillage, Gayan, Nguyen, Linh

  • Authors: Nguyen, Thai , Murshed, Mamzur , Choudhury, Tanveer , Keogh, Kathleen , Kahandawa Appuhamillage, Gayan , Nguyen, Linh
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Sensors Vol. 23, no. 16 (2023), p.
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  • 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

- Kaushik, Shipra

  • Authors: Kaushik, Shipra
  • Date: 2023
  • Type: Text , Thesis , PhD
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  • 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.
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  • 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=

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

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
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  • 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

A literature review of the positive displacement compressor : current challenges and future opportunities

- Lu, Kui, Sultan, Ibrahim, Phung, Truong

  • Authors: Lu, Kui , Sultan, Ibrahim , Phung, Truong
  • Date: 2023
  • Type: Text , Journal article , Review
  • Relation: Energies Vol. 16, no. 20 (2023), p.
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  • Description: Positive displacement compressors are essential in many engineering systems, from domestic to industrial applications. Many studies have been devoted to providing more insights into the workings and proposing solutions for performance improvements of these machines. This study aims to present a systematic review of published research on positive displacement compressors of various geometrical structures. This paper discusses the literature on compressor topics, including leakage, heat transfer, friction and lubrication, valve dynamics, port characteristics, and capacity control strategies. Moreover, the current status of the application of machine learning methods in positive displacement compressors is also discussed. The challenges and opportunities for future work are presented at the end of the paper. © 2023 by the authors.

A longitudinal study on a place-based school-university partnership : listening to the voices of in-service teachers

- Ma, Hongming, Green, Monica

  • Authors: Ma, Hongming , Green, Monica
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Teaching and Teacher Education Vol. 129, no. (2023), p.
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  • Description: This paper reports on a longitudinal place-based study by two Australian teacher educators investigating their three-year science-based school-university partnership. The study examined key benefits, challenges, and tensions within the partnership. Data collection was drawn from focus group interviews with in-service teachers across each partnership year. While findings portray the partnership as a catalyst for increased science learning opportunities for school students, teaching opportunities for pre-service teachers, and new in-service teacher roles and responsibilities, the study highlights the evolving nature of partnership development, including the need for continuous negotiation of labor division and stakeholder expectations. © 2023 The Authors

A nethack learning environment language wrapper for autonomous agents

- Goodger, Nikolaj, Vamplew, Peter, Foale, Cameron, Dazeley, Richard

  • Authors: Goodger, Nikolaj , Vamplew, Peter , Foale, Cameron , Dazeley, Richard
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Journal of Open Research Software Vol. 11, no. (2023), p.
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  • Description: This paper describes a language wrapper for the NetHack Learning Environment (NLE) [1]. The wrapper replaces the non-language observations and actions with comparable language versions. The NLE offers a grand challenge for AI research while MiniHack [2] extends this potential to more specific and configurable tasks. By providing a language interface, we can enable further research on language agents and directly connect language models to a versatile environment. © 2023 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

A new era of integration between multiomics and spatio-temporal analysis for the translation of EMT towards clinical applications in cancer

- Fonseca Teixeira, Adilson, Wu, Siqi, Luwor, Rodney, Zhu, Hong-Jian

  • Authors: Fonseca Teixeira, Adilson , Wu, Siqi , Luwor, Rodney , Zhu, Hong-Jian
  • Date: 2023
  • Type: Text , Journal article , Review
  • Relation: Cells Vol. 12, no. 23 (2023), p.
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  • Description: Epithelial-mesenchymal transition (EMT) is crucial to metastasis by increasing cancer cell migration and invasion. At the cellular level, EMT-related morphological and functional changes are well established. At the molecular level, critical signaling pathways able to drive EMT have been described. Yet, the translation of EMT into efficient diagnostic methods and anti-metastatic therapies is still missing. This highlights a gap in our understanding of the precise mechanisms governing EMT. Here, we discuss evidence suggesting that overcoming this limitation requires the integration of multiple omics, a hitherto neglected strategy in the EMT field. More specifically, this work summarizes results that were independently obtained through epigenomics/transcriptomics while comprehensively reviewing the achievements of proteomics in cancer research. Additionally, we prospect gains to be obtained by applying spatio-temporal multiomics in the investigation of EMT-driven metastasis. Along with the development of more sensitive technologies, the integration of currently available omics, and a look at dynamic alterations that regulate EMT at the subcellular level will lead to a deeper understanding of this process. Further, considering the significance of EMT to cancer progression, this integrative strategy may enable the development of new and improved biomarkers and therapeutics capable of increasing the survival and quality of life of cancer patients. © 2023 by the authors.

A novel dynamic software-defined networking approach to neutralize traffic burst

- Sharma, Aakanksha, Balasubramanian, Venki, Kamruzzaman, Joarder

  • Authors: Sharma, Aakanksha , Balasubramanian, Venki , Kamruzzaman, Joarder
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Computers Vol. 12, no. 7 (2023), p.
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  • Description: Software-defined networks (SDN) has a holistic view of the network. It is highly suitable for handling dynamic loads in the traditional network with a minimal update in the network infrastructure. However, the standard SDN architecture control plane has been designed for single or multiple distributed SDN controllers facing severe bottleneck issues. Our initial research created a reference model for the traditional network, using the standard SDN (referred to as SDN hereafter) in a network simulator called NetSim. Based on the network traffic, the reference models consisted of light, modest and heavy networks depending on the number of connected IoT devices. Furthermore, a priority scheduling and congestion control algorithm is proposed in the standard SDN, named extended SDN (eSDN), which minimises congestion and performs better than the standard SDN. However, the enhancement was suitable only for the small-scale network because, in a large-scale network, the eSDN does not support dynamic SDN controller mapping. Often, the same SDN controller gets overloaded, leading to a single point of failure. Our literature review shows that most proposed solutions are based on static SDN controller deployment without considering flow fluctuations and traffic bursts that lead to a lack of load balancing among the SDN controllers in real-time, eventually increasing the network latency. Therefore, to maintain the Quality of Service (QoS) in the network, it becomes imperative for the static SDN controller to neutralise the on-the-fly traffic burst. Thus, our novel dynamic controller mapping algorithm with multiple-controller placement in the SDN is critical to solving the identified issues. In dSDN, the SDN controllers are mapped dynamically with the load fluctuation. If any SDN controller reaches its maximum threshold, the rest of the traffic will be diverted to another controller, significantly reducing delay and enhancing the overall performance. Our technique considers the latency and load fluctuation in the network and manages the situations where static mapping is ineffective in dealing with the dynamic flow variation. © 2023 by the authors.