List of Titles

Review on variants of restricted boltzmann machines and autoencoders for cyber-physical systems

- Ul Haq, Qazi, Imran, Muhammad, Saleem, Kashif, Zia, Tanveer, Al Muhtadi, Jalal

Authors: Ul Haq, Qazi , Imran, Muhammad , Saleem, Kashif , Zia, Tanveer , Al Muhtadi, Jalal
Date: 2023
Type: Text , Book chapter
Relation: Internet of Things Security and Privacy: Practical and Management Perspectives Chapter 8 p. 188-207
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Description: To understand the variants of Restricted Boltzmann Machines (RBMs) and Auto-encoders, we first need to outline what they are: RBMs are generative and unlike auto-encoders that are biased towards a limited set of data. RBMs are capable of generating new data with the joint set distribution. They are used to solve problems such as pattern recognition where there is a handwritten text that needs to be deciphered or a random pattern. It can also be used for recommendation engines where in collaboration with filtering techniques, recommendations are made to an end-user, and radar target recognition where it is used to detect intra-pulse with extremely low SNR and high noise. On the contrary, auto-encoders are not very commonly used in real-life applications; however, they are useful in reducing dimensionality and variational auto-encoders (VAE), where VAE learns the limitations of a probability distribution modeling the input data rather than learning the absolute function. RBMs and auto-encoders can be used for cyber-physical systems (CPS); RBMs are a dual-layer, two-part, erratic graphical model, allowing data to flow in two ways rather than one which forms the foundation of DBNs. CPS aims to use RBMs in making the model understand various functions, which will ultimately help to identify the hidden state and minimize the energy of the system. RBMs assign probabilities rather than definite values. Auto-encoders are unsupervised neural networks that use input vectors and try to match them to similar output vectors. These vectors are extremely skilled as they study compressed data encoding autonomously. This chapter will discuss in detail the breakthroughs with CPS and their findings. Previously CPS were only evaluated with techniques that did not differentiate the facts from the internal view, which ultimately resulted in a mismatch between the behavior of theoretical models and their real-life counterparts. This ultimately gave way to the question of how they could perform critical safety tasks. Another vital breakthrough related to CPS revolves around Intellectual Merit and Broader Impacts. They both revolve around the design and analysis of Artificial Intelligence as an integral part of CPS; the findings for these breakthroughs will be discussed in detail in the chapter. © 2024 selection and editorial matter, [Ali Ismail Awad, Atif Ahmad, Kim-Kwang Raymond Choo, Saqib Hakak]; individual chapters, the contributors.

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Sad, bad or mad : the denial of agency to women who kill

- Morrissey, Belinda

Authors: Morrissey, Belinda
Date: 2023
Type: Text , Book chapter
Relation: The Emerald International Handbook of Feminist Perspectives on Women's Acts of Violence Chapter 23 p. 361-375
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Description: Murder is overwhelmingly a male affair (UNODC Global Study on Homicide, 2019). So, when women kill, their crimes gain a lot of attention and even more hysteria in both courts and media. This chapter will analyse the cases of Sally Challen, Belinda van Krevel and Maxine Carr to show that portrayals of women who are involved in killing exist on a continuum, from abused victims to those simply 'born evil' to the incomprehension of those whose crimes render them outside society altogether; or in simple terms, from sad, to bad, to mad. In all cases, the agency of the women is presented as incomplete or impossible, indicating our inability in heteropatriarchy to acknowledge that women are as capable as men of exhibiting the full spectrum of human behaviour. Denying agency, particularly to violent women, allows Western societies to avoid having to face and thus, attempt to understand, the female capacity for aggression. © 2023 Belinda Morrissey. All rights reserved.

SCA-LFD : side-channel analysis-based load forecasting disturbance in the energy internet

- Ding, Li, Wu, Jun, Li, Changlian, Jolfaei, Alireza, Zheng, Xi

Authors: Ding, Li , Wu, Jun , Li, Changlian , Jolfaei, Alireza , Zheng, Xi
Date: 2023
Type: Text , Journal article
Relation: IEEE Transactions on Industrial Electronics Vol. 70, no. 3 (2023), p. 3199-3208
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Description: The energy Internet (EI) equipment may face threats that attackers poison federated learning (FL) models to disturb electricity load forecasting. To mitigate this vulnerability, it is important to study load forecasting disturbance approaches. This article proposes a side-channel analysis (SCA)-based disturbance approach. First, we design an FL SCA scheme to extract power information from the FL chip running forecasting model. Second, we propose an FL data speculation method using an optimized convolutional neural network trained with SCA information. Third, we design a label-flipping-based poisoning scheme with speculated data characteristics for load forecasting disturbance. Experimental results show attackers can successfully poison and disturb FL-based load forecasting. The average accuracy of EI load data speculation is 99.8%. This work is the first to study EI load forecasting disturbance from an SCA perspective. © 1982-2012 IEEE.

Scalar reward is not enough JAAMAS Track

- Vamplew, Peter, Smith, Benjamin, Källström, Johan, Ramos, Gabriel, Rădulescu, Roxana, Roijers, Diederik, Hayes, Conor, Heintz, Frederik, Mannion, Patrick, Libin, Pieter, Dazeley, Richard, Foale, Cameron

Authors: Vamplew, Peter , Smith, Benjamin , Källström, Johan , Ramos, Gabriel , Rădulescu, Roxana , Roijers, Diederik , Hayes, Conor , Heintz, Frederik , Mannion, Patrick , Libin, Pieter , Dazeley, Richard , Foale, Cameron
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. 839-841
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Description: Silver et al. [14] posit that scalar reward maximisation is sufficient to underpin all intelligence and provides a suitable basis for artificial general intelligence (AGI). This extended abstract summarises the counter-argument from our JAAMAS paper[19]. © 2023 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

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Secure-and privacy-preserving policies for distributed cooperative control of multiple vehicle systems

- Nguyen, Binh, Nghiem, Truong, Nguyen, Linh, Nguyen, Tuy, Nguyen, Thang

Authors: Nguyen, Binh , Nghiem, Truong , Nguyen, Linh , Nguyen, Tuy , Nguyen, Thang
Date: 2023
Type: Text , Conference paper
Relation: Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023, Orlando USA, 2-4 May 2023, Proceedings of SPIE - The International Society for Optical Engineering Vol. 12540
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Description: Conventional distributed formation control of multiple vehicle systems (MVSs) has two drawbacks: inflexible formation changes and explicit-value exchanges of vehicles' information such as position and velocity among all vehicles. Since formation changes are needed, each vehicle is required to update its relative position which is quite difficult in large spatial applications. Firstly, the explicit-value exchanges possibly result in two critical issues. When each vehicle policy needs to keep its information confidential from another unexpected listener, the explicit-value exchanges are invalid for the privacy policies. Additionally, the explicit-value storing or exchanging signals or parameters are much more vulnerable and dangerous to security threats. This work proposes an approach to overcome the above challenges by taking advantage of model predictive control-consensus algorithms to achieve desired formations. We will also allow the computation to be effectively distributed among the vehicle agents according to their computational capabilities. Secondly, we use the highly secure encryption scheme that empowers all computations carried out in encrypted forms, including system parameters and signals. Our results are verified by the formation control of multiple vehicles working in large-scale environments where a ground station does not touch all vehicles due to limited communication ranges and security problems. Compared to cutting-edge studies, the formation of vehicles is still able to be changed securely by the ground station without updating new formations to all vehicles. Besides, the data privacy of each vehicle is preserved by encrypting all physical signals. © 2023 SPIE. All rights reserved.

Seeking a destiny in land : the contribution of Scottish settlers to the social development of the Omeo region

- McCoy, Jennifer

Authors: McCoy, Jennifer
Date: 2023
Type: Text , Thesis , PhD
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Description: This thesis explores the contribution of Scottish selectors to the social development of the Omeo region of remote eastern Victoria, Australia, during the period 1875 to 1900, drawing on the experiences of people with familial connection to the McCoy family. These people were mostly agricultural labourers, prevented from land ownership in Scotland, and handloom weavers whose skills had been lost to the industrial revolution. Their lives had been changed by economic circumstances in Scotland, and by taking advantage of the Victorian Selection Acts, they achieved economic security while contributing to the development of the area. This thesis positions land as central to the economic and social development of this area. It was a remote, geographically isolated area where communication and climate challenges had defeated many. Using a documentary historical methodology, it examines the impact of each wave of Europeans, explorers, squatters, miners, and selectors on the land, with the corresponding dispossession of Aboriginal people, revealing the agency of those Aboriginal people in their responses, as well as the resilience of the settlers. Land records and demographic data have been used extensively to chart the land holdings and businesses of selected Scottish family members, positioning their place in the developing society, as community centres and activities flourished in response to a secure and growing population. As part of the Scottish diaspora in Australia, it highlights some of the qualities they brought with them to their new environment; it demonstrates the resilience people could bring to challenging circumstances; and it reveals the wealth of creative opportunities that grew and were encouraged, when limited communication to the outside world demanded a call on their own resources. The study also uncovers questions for further research, amongst them: a more detailed investigation of the role of newspapers, which are the primary source of historical information available; and the role played by women in building and supporting families even through crises, and whose records are buried in personal family records or diminished in newspaper stories.
Description: Doctor of Philosophy

Service deployment strategy for predictive analysis of FinTech IoT applications in edge networks

- Munusamy, Ambigavathi, Adhikari, Mainak, Balasubramanian, Venki, Khan, Mohammad, Menon, Varun, Rawat, Danda, Srirama, Satish

Authors: Munusamy, Ambigavathi , Adhikari, Mainak , Balasubramanian, Venki , Khan, Mohammad , Menon, Varun , Rawat, Danda , Srirama, Satish
Date: 2023
Type: Text , Journal article
Relation: IEEE Internet of Things Journal Vol. 10, no. 3 (2023), p. 2131-2140
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Description: The seamless integration of sensors and smart communication technologies has led to the development of various supporting systems for financial technology (FinTech). The emergence of the next-generation Internet of Things (Nx-IoT) for FinTech applications enhances the customer satisfaction ratio. The main research challenge for FinTech applications is to analyze the incoming tasks at the edge of the networks with minimum delay and power consumption while increasing the prediction accuracy. Motivated by the above-mentioned challenge, in this article, we develop a ranked-based service deployment strategy and an artificial intelligence technique for financial data analysis at edge networks. Initially, a risk-based task classification strategy has been developed for classifying the incoming financial tasks and providing the importance to the risk-based task for meeting users' satisfaction ratio. Besides that, an efficient service deployment strategy is developed using $Hall's$ theorem to assign the ranked-based financial data to the suitable edge or cloud servers with minimum delay and power consumption. Finally, the standard support vector machines (SVMs) algorithm is used at edge networks for analyzing the financial data with higher accuracy. The experimental results demonstrate the effectiveness of the proposed strategy and SVM model at edge networks over the baseline algorithms and classification models, respectively. © 2014 IEEE.

Simple linear iterative clustering based low-cost pseudo-LiDAR for 3D object detection in autonomous driving

- Le, Duy, Nguyen, Linh

Authors: Le, Duy , Nguyen, Linh
Date: 2023
Type: Text , Journal article
Relation: Multimedia Tools and Applications Vol. 82, no. 16 (2023), p. 25253-25269
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Description: The paper presents a low-cost and LiDAR-free approach to efficiently detect 3D objects from stereo camera images, towards autonomous driving applications. It is first proposed to exploit the simple linear iterative clustering algorithm to segment stereo images into superpixel feature maps. The segmented superpixel maps are then used to estimate a depth map. By utilizing the depth map and stereo images, a 3D point cloud can be generated; and the 3D data is considered as pseudo-LiDAR representation as it is similar to measurements collected by a LiDAR sensor. The generated pseudo-LiDAR point cloud can ultimately be fed into any the state-of-the-art LiDAR based 3D object detection techniques to localize objects. By doing this, the proposed approach can effectively detect 3D objects by only employing low-cost stereo cameras, which can save tens of thousands of dollars on LiDAR costs from the existing LiDAR based methods. Effectiveness of the proposed algorithm was evaluated in the real-world KITTI dataset where the obtained results are about 1.33% better than those obtained by the benchmarking pseudo-LiDAR++ method (You et al. 2020). © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Smart grid evolution : predictive control of distributed energy resources—A review

- Babayomi, Oluleke, Zhang, Zhenbin, Dragicevic, Tomislav, Hu, Jiefeng, Rodriguez, Jose

Authors: Babayomi, Oluleke , Zhang, Zhenbin , Dragicevic, Tomislav , Hu, Jiefeng , Rodriguez, Jose
Date: 2023
Type: Text , Journal article , Review
Relation: International Journal of Electrical Power and Energy Systems Vol. 147, no. (2023), p.
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Description: As the smart grid evolves, it requires increasing distributed intelligence, optimization and control. Model predictive control (MPC) facilitates these functionalities for smart grid applications, namely: microgrids, smart buildings, ancillary services, industrial drives, electric vehicle charging, and distributed generation. Among these, this article focuses on providing a comprehensive review of the applications of MPC to the power electronic interfaces of distributed energy resources (DERs) for grid integration. In particular, the predictive control of power converters for wind energy conversion systems, solar photovoltaics, fuel cells and energy storage systems are covered in detail. The predictive control methods for grid-connected converters, artificial intelligence-based predictive control, open issues and future trends are also reviewed. The study highlights the potential of MPC to facilitate the high-performance, optimal power extraction and control of diverse sustainable grid-connected DERs. Furthermore, the study brings detailed structure to the artificial intelligence techniques that are beneficial to enhance performance, ease deployment and reduce computational burden of predictive control for power converters. © 2022 Elsevier Ltd

SMGKM : an efficient incremental algorithm for clustering document collections

- Bagirov, Adil, Seifollahi, Sattar, Piccardi, Massimo, Zare Borzeshi, Ehsan, Kruger, Bernie

Authors: Bagirov, Adil , Seifollahi, Sattar , Piccardi, Massimo , Zare Borzeshi, Ehsan , Kruger, Bernie
Date: 2023
Type: Text , Conference paper
Relation: 19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, Hanoi, Vietnam, 18-24 March 2018, Computational Linguistics and Intelligent Text Processing Vol. 13397 LNCS, p. 314-328
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Description: Given a large unlabeled document collection, the aim of this paper is to develop an accurate and efficient algorithm for solving the clustering problem over this collection. Document collections typically contain tens or hundreds of thousands of documents, with thousands or tens of thousands of features (i.e., distinct words). Most existing clustering algorithms struggle to find accurate solutions on such large data sets. The proposed algorithm overcomes this difficulty by an incremental approach, incrementing the number of clusters progressively from an initial value of one to a set value. At each iteration, the new candidate cluster is initialized using a partitioning approach which is guaranteed to minimize the objective function. Experiments have been carried out over six, diverse datasets and with different evaluation criteria, showing that the proposed algorithm has outperformed comparable state-of-the-art clustering algorithms in all cases. © 2023, Springer Nature Switzerland AG.

Social R&D : does academic freedom contribute to improved societal outcomes?

- Posso, Alberto, Zhang, Quanda

Authors: Posso, Alberto , Zhang, Quanda
Date: 2023
Type: Text , Journal article
Relation: Information Economics and Policy Vol. 63, no. (2023), p.
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Description: The economics literature views R&D as an important conduit for growth because it generates new ideas that can be translated into technological innovations. Some of this R&D occurs in universities, making academic freedom an important part of this process. This literature ignores the potential role that academic research in the social sciences plays toward achieving non-commercial societal outcomes. We bridge this gap by proposing that academia generates social R&D. We posit that greater degrees of academic freedom allow for social R&D to flourish and be transformed into policies that improve societal conditions. We test our hypothesis by studying the relationship between academic freedom and inequality using panel data of 132 countries over the 1967–2018 period. We measure academic freedom using an index developed by the V-Dem Institute. Our econometric analysis suggests that an increase in the index is associated with a decrease in inequality. We employ instrumental variable and interactive fixed effects techniques to try to lend support to the causal relationship between academic freedom and inequality. We argue that this negative relationship can be explained by academia, predominantly the social sciences, exerting pressure on governments to enact policies that redistribute wealth. We find evidence in support of this mechanism using data from other sources. © 2023 Elsevier B.V.

Socially aversive dark traits and the drive for social connectedness

- Grieve, Rachel

Authors: Grieve, Rachel
Date: 2023
Type: Text , Journal article
Relation: Personality and Individual Differences Vol. 202, no. (2023), p.
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Description: This research examined for the first time how the “dark” tetrad (psychopathy, Machiavellianism, sadism, and grandiose narcissism) and adjunct dark trait vulnerable narcissism predict drive for social connectedness. Data were collected via an anonymous online survey (N = 395 adults) and analysed via multiple regression. As hypothesised, vulnerable narcissism was significantly and positively associated with a greater desire to experience social connection, but unexpectedly the same relationship was seen for grandiose narcissism. Also as hypothesised both psychopathy and sadism were significant negative predictors of the desire to experience social connectedness, however Machiavellianism failed to contribute significantly to the model. Findings indicate that both grandiose and vulnerable narcissists seek social connectedness, but likely as a means to gratify different needs (attention and contingent self-esteem, respectively). © 2022 Elsevier Ltd

Spatial prioritisation of survey and management efforts for a threatened pygopodid in south-western New South Wales

- Waudby, Helen, Turak, Eren, Callister, Kate, Florentine, Singarayer, Westbrooke, Martin, Palmer, Grant, Dayman, Ray

Authors: Waudby, Helen , Turak, Eren , Callister, Kate , Florentine, Singarayer , Westbrooke, Martin , Palmer, Grant , Dayman, Ray
Date: 2023
Type: Text , Journal article
Relation: Australian Journal of Zoology Vol. 71, no. 1 (2023), p.
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Description: Determining species’ distributions is challenging for cryptic species that are difficult to detect using standard techniques. The mallee worm-lizard (Aprasia inaurita Kluge, 1974) is a cryptic reptile in the family Pygopodidae, listed as Endangered in New South Wales. We modelled the species’ potential distribution (Maxent) to improve understanding of the species’ distribution and surveyed potential habitat in the Scotia Mallee region (an area with suitable habitat) from 2018 to 2022, with pitfall traps and artificial refuges (terracotta roof tiles). We completed 11 587 pitfall trap-nights and 3200 tile checks over eight monitoring sessions. Over this period, we detected six vertebrate species (all lizards) using roof tiles and 40 species with pitfall traps, but no mallee worm-lizards. Evaluation of existing records of the mallee worm-lizard from NSW suggested that the state constitutes the north-eastern edge of its continental range, with the species apparently present in low numbers across a wide swathe of south-western NSW. Most records were located within or near to spinifex or porcupine grass (Triodia spp.) communities, on private land. Species distribution modelling provided outputs that are useful for spatial prioritisation of conservation efforts for the species, with region-wide maps showing that much of the Scotia Mallee study area contains potentially suitable habitat for the mallee worm-lizard. However, habitat suitability scores for individual cells in this area were low, in some instances, because of high maximum summer temperatures and soil available water capacity. We anticipate that increasing temperatures associated with climate change may further reduce the suitability of habitat in this area in the future. © 2023 The Author(s)

Sport parenting during the COVID-19 pandemic: perceptions of parents and youth in Australia

- Elliott, Sam, Pankowiak, Aurelie, Eime, Rochelle, Drummond, Murray

Authors: Elliott, Sam , Pankowiak, Aurelie , Eime, Rochelle , Drummond, Murray
Date: 2023
Type: Text , Journal article
Relation: Psychology of Sport and Exercise Vol. 64, no. (2023), p.
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Description: Understanding the impact of the COVID-19 pandemic on parental involvement in youth sport is largely unknown. The objective of the study presented in this paper was to understand parental involvement in relation to their child's participation in organised sport during the COVID-19 pandemic. Using an interpretive descriptive methodology, online qualitative interviews and online focus groups with parents and youth (15–18 years) (n = 29) were conducted during June 2020. Following a rigorous reflexive thematic analysis, four themes illustrated the nature of sport parenting during this stressful and uncertain period: (a) reshaping sport parenting identity, (b) the unexpected growth of sport parenting responsibilities, (c) responding to children's loss of sport, and (d) policies impact family commitment and attitudes to returning to sport. The findings are discussed considering Harwood and Knight's (2015) postulates of parenting expertise in sport and offer potential ideas to better support parents and children situated in unexpectedly stressful situations. © 2022 Elsevier Ltd

Storying shared worlds : collaborative writing as ecological inquiry

- Jukes, Scott, Clarke, David, McPhie, Jamie

Authors: Jukes, Scott , Clarke, David , McPhie, Jamie
Date: 2023
Type: Text , Book chapter
Relation: Learning to confront ecological precarity : engaging with more-than-human worlds Chapter 10 p. 183-204
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Description: This chapter is co-authored with Dave Clarke and Jamie Mcphie and is an experiment in collaborative writing as a form of inquiry. We write with and through the events of our lives, to see how ontology manifests itself within our processes of collaborative inquiry in environmental education. Fires, viruses, lines and cosmopolitics infuse this chapter as we strive to think and enact inquiry in alternative ways. The chapter also offers insights into some of the further backstories and considerations that furrowed along underneath some of the other chapters in this project. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Strength classification and diagnosis : not all strength is created equal

- James, Lachlan, Talpey, Scott, Young, Warren, Geneau, Mary, Newton, Robert, Gastin, Paul

Authors: James, Lachlan , Talpey, Scott , Young, Warren , Geneau, Mary , Newton, Robert , Gastin, Paul
Date: 2023
Type: Text , Journal article
Relation: Strength and Conditioning Journal Vol. 45, no. 3 (2023), p. 333-341
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Description: Maximal force can be expressed across a range of conditions influenced by the external load and the time available to express force. As a result, several distinct and specific strength qualities exist. Conversely, some expressions of maximal force are similar and can be categorized as a single quality. Therefore, strength assessment systems must be sophisticated enough to isolate and measure each quality while minimizing redundant information. This article presents a contemporary, evidence-based and practical framework that reduces the many strength and speed-strength metrics into 5 distinct qualities. Alongside this, we present case examples of the application of strength diagnosis. © 2023 Lippincott Williams and Wilkins. All rights reserved.

Strengthening critical allyship in social work education: opportunities in the context of #BlackLivesMatter and COVID-19

- Gates, Trevor, Bennett, Bindi, Baines, Donna

Authors: Gates, Trevor , Bennett, Bindi , Baines, Donna
Date: 2023
Type: Text , Journal article
Relation: Social work education Vol. 42, no. 3 (2023), p. 371-387
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Description: COVID-19 has shifted social work education and widened the gaps in services for historically marginalised communities, including people of diverse cultural, sexual and gender identities and social classes. Existing inequities based on cultural differences have been magnified, perhaps most recently evident in George Floyd's slaying and the subsequent #BlackLivesMatter demonstrations across the globe. Learning to be an ally for diverse communities and working towards the betterment of all people is a goal of social work education. We argue that simple allyship is not enough given the structural inequities present in North America and Australia the civil unrest amidst the COVID-19 pandemic. Social work education's focus should trend towards allegiance with disadvantaged communities or critical allyship and include a commitment to undertake decisive actions to redress the entrenched colonial, capitalist, systemic and structural inequities that oppress many and provide unearned privilege and advantage to others. We explore strategies used in classrooms to promote allegiance and make recommendations for social work education, policy, and practice in this time of change.

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