Showing items 1 - 20 of 17623

"Grammar, I hate" or "I grammar hate"?: L1 and L2 word order differences and bilingual DLD assessment

- Han, Weifeng

  • Authors: Han, Weifeng
  • Date: 2024
  • Type: Text , Book chapter
  • Relation: Multifaceted multilingualism Chapter 7 p. 184-203
  • Full Text: false
  • Reviewed:
  • Description: Cross-module interfaces, such as the syntax-semantics interface, are among the most problematic properties to fully acquire in a second language (L2). First language (L1) monodialectal and bidialectal speakers may show different performances at the interfaces in L2. However, little is known if such a different performance is caused by learners' diverse L1 dialectal backgrounds. The study is motivated by the need to link speech-language pathology and word order typological studies in a bidialectal/bilingual context. The aim is to investigate L1 bidialectism in the L2 syntax-semantics interface acquisition outcome and to separate language difference from language disorder. A sentence-picture matching task on the topic-comment structure was administered among 37 Mandarin monodialectal and 39 Mandarin - Wu bidialectal child speakers. Results of a generalized linear model showed that L1 bidialectals exhibited better syntactic-semantic awareness in L2 than their L1 monodialectal counterparts. The results showed that mono- and bidialectal speakers have different performance patterns at the syntax-semantics interface involving noncanonical word orders for L2. However, the L2 performance was under the impact of language difference between L1 and L2, it does not qualify for Developmental Language Disorder (DLD). Finally, the study offers both theoretical and clinical implications for the diagnosis and assessment of bilingual DLD. © 2024 John Benjamins Publishing Company.

"Resisting Social Identity Threat and Maintaining Resilience" : A Qualitative Study of Chinese Parents Following the Loss of an Only Child

- Wang, Anni, Guo, Yufang, Cross, Wendy, Lam, Louisa, Plummer, Virginia, Zhang, Wen, Zhang, Jingping

  • Authors: Wang, Anni , Guo, Yufang , Cross, Wendy , Lam, Louisa , Plummer, Virginia , Zhang, Wen , Zhang, Jingping
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Psychol Trauma Vol. 16, no. 2 (2024), p. 167-175
  • Full Text: false
  • Reviewed:
  • Description: Objective: Parents who lose an only child in China are stressed and traumatized due to social identity threat (SIT). This qualitative study aimed to interpret their experience to inform culturally and socially sensitive intervention strategies. Methods: Using a phenomenological approach, 17 bereaved parents who lost an only child were interviewed. The transcripts were analyzed using Colaizzi's method. Results: Three themes were identified, namely, "assuming a new social identity," "triggering social identity threat," and "resisting social identity threat and maintaining resilience." The study showed that SIT initially began with identity reconstruction, where self-identity and social identity occurred 1 after another. Once labeled with such social identity, the bereaved parents suffered social identity threat triggered by inner inferiority and external stigmatization. The bereaved parents undertook a variety of coping strategies to resist the threat and to maintain resilience of these strategies, 4 patterns depicting resilience and threat were interpreted. Conclusion: The findings offer an understanding of the multifaceted bereavement dilemma and lay a foundation for developing intervention strategies. Promoting or maintaining resilience and alleviating SIT are 2 important ways that help parents move on. To help them with identity reconstruction, the development of culturally sensitive resilience-based programs and the linking of social resources to solve practical problems are recommended. Community health professionals should encourage parents to maintain good health management to prevent their predicament from worsening. Raising economic assistance, building an elderly care support system, and promoting social acceptance are strategies that could be considered by policymakers. Clinical Impact StatementThe bereaved parents who have lost an only child in China is facing a multifaceted dilemma, which involves psychological, economic and cultural issues. This study applies the construct of social identity threat to interpretive lived experience of parents in China who have lost their only child. The study contributes to better understanding of their multifaceted bereavement dilemma, and lay the foundation for developing psycho-behavioural intervention strategies, which potentially also benefit other marginalized or traumatized bereaved groups. Results in this study offered several recommendations for psychological counselors, community workers, community health professionals, and government policymakers.

A 3D numerical model to estimate lightning types for PyroCb thundercloud

- Barman, Surajit, Shah, Rakibuzzaman, Islam, Syed, Kumar, Apurv

  • Authors: Barman, Surajit , Shah, Rakibuzzaman , Islam, Syed , Kumar, Apurv
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Applied Sciences (Switzerland) Vol. 14, no. 12 (2024), p.
  • Full Text:
  • Reviewed:
  • Description: Pyrocumulonimbus (pyroCb) thunderclouds, produced from extreme bushfires, can initiate frequent cloud-to-ground (CG) lightning strikes containing extended continuing currents. This, in turn, can ignite new spot fires and inflict massive harm on the environment and infrastructures. This study presents a 3D numerical thundercloud model for estimating the lightning of different types and its striking zone for the conceptual tripole thundercloud structure which is theorized to produce the lightning phenomenon in pyroCb storms. More emphasis is given to the lower positive charge layer, and the impacts of strong wind shear are also explored to thoroughly examine various electrical parameters including the longitudinal electric field, electric potential, and surface charge density. The simulation outcomes on pyroCb thunderclouds with a tripole structure confirm the presence of negative longitudinal electric field initiation at the cloud’s lower region. This initiation is accompanied by enhancing the lower positive charge region, resulting in an overall positive electric potential increase. Consequently, negative surface charge density appears underneath the pyroCb thundercloud which has the potential to induce positive (+CG) lightning flashes. With wind shear extension of upper charge layers in pyroCb, the lightning initiation potential becomes negative to reduce the absolute field value and would generate negative (

A blockchain-based distributed peer-to-peer ecosystem for energy trading

- Islam, Mohammad

  • Authors: Islam, Mohammad
  • Date: 2024
  • Type: Text , Thesis , PhD
  • Full Text:
  • Description: Blockchain technologies are revolutionising peer-to-peer (P2P) distributed energy trading. These technologies can leverage microgrid decentralisation and immutable data storage to provide efficient and secure trading to benefit prosumers. A double auction mechanism is best suited for energy trading in a P2P microgrid. This mechanism requires a solvent cryptocurrency reserve for payment settlement. Double auctions give rise to unspent auction reservations (UARs). Existing mechanisms can settle further auctions with UARs but need improvements to do this without affecting trading efficiency. Keeping a cryptocurrency reserve solvent also requires adaptations to existing mechanisms. Auction settlements within a microgrid leave UARs, meaning that other microgrids must join for further auction settlements, and this leads to security vulnerabilities. It is important to develop an ecosystem that can enhance trading efficiency, ensure the solvency of the cryptocurrency reserve and provide security for multi-microgrid energy trading. In distributed energy trading, an auctioneer passes UARs to the next auctioneer as specified by the passing mechanism. Traditional energy trading systems use simple passing mechanisms and basic pricing mechanisms, but this adversely affects trading efficiency and buyers’ economic surplus. Traditional P2P energy trading systems use passing mechanisms that only partially consider the auction capacity of the next auctioneer. We propose a blockchain-based energy trading mechanism using a smart passing mechanism (SPM) that uses an unspent reservation profile (URP) to represent the auctioneers’ capability to pass UARs within a P2P microgrid. We further propose an intelligent passing mechanism (iPass) that incorporates price information into URPs to enhance trading efficiency. We applied three metrics to measure trading efficiency: convergence time, auction settlements and the economic surplus of buyers and sellers. We simulated our mechanisms in Hyperledger Fabric, a permissioned blockchain framework that managed the data storage and smart contracts. Experiments showed that our SPM reduces the convergence time, increases auction settlements and increases the economic surplus of buyers compared with existing mechanisms. Experiments showed that iPass is even more efficient than other passing mechanisms, including SPM, further reducing the convergence time, increasing auction settlements and increasing the economic surplus of buyers and sellers. Settling payments in blockchain-based P2P energy trading requires maintaining the solvency of the cryptocurrency reserve to ensure a stable medium of exchange and reduce price volatility. Stablecoins, as a form of cryptocurrency—the most suitable medium of exchange—are gaining attention from central banks. A consortium of central banks has recommended compliance with capital and liquidity standards for high-quality liquid assets (HQLA). Stablecoins, as a form of HQLA, require the adaptation of these standards for P2P energy trading. We propose a mechanism (NF90) to control the inflow of stablecoins in response to the liquidity coverage ratio (LCR) for reserve resilience and to maintain solvency. The Basel III Accord recommends 100% LCR. We measured the effectiveness of NF90 using LCR as a metric simulating the mechanism in Hyperledger Fabric to manage deceni tralisation, data storage and smart contracts. NF90 was the most effective inflow control mechanism. The use of iPass for a P2P microgrid leaves UARs. Traditional trading mechanisms settle further auctions with UARs within a microgrid, which affects the economic surplus of prosumers. Auction settlements with neighbouring microgrids increase prosumers’ economic surplus, but the usual pricing of double auction mechanisms reduces their economic surplus. Other pricing mechanisms are needed in a multi-microgrid paradigm. Settling auctions for microgrids requires common computational resources that are close to microgrids. Edge computing technologies suit this need, and blockchain technology leverages immutable data storage in cloud servers. However, communication with a cloud server through proprietary edge computing devices exposes the ecosystem to security vulnerabilities. It is important to control access by prosumers and forensic users. Immutable data storage and the retrieval of data are essential. Two challenges in information security are incorporating reliable access control for users and devices while granting access to confidential data for relevant users and maintaining data persistence. This research used a blockchain structure for data persistence. We propose a framework of novel protocols to authenticate users (prosumers and auctioneers) by the edge server and of the edge server by the cloud server. Our framework also provides access to forensic users using immutable blockchain-based data storage with endpoint authentication and a role-based user access control system. We simulated the framework using the Automated Validation of Internet Security Protocols and Applications and showed that it can deal effectively with several security issues.
  • Description: Doctor of Philosophy

A community-based modified sport program for rural community-dwelling older adults : a pilot study

- Romein, Jake, Hutchins, Gabrielle, Ottrey, Ella, Talpey, Scott, Bishop, Jaclyn

  • Authors: Romein, Jake , Hutchins, Gabrielle , Ottrey, Ella , Talpey, Scott , Bishop, Jaclyn
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Australian Journal of Rural Health Vol. 32, no. 3 (2024), p. 488-497
  • Full Text: false
  • Reviewed:
  • Description: Introduction: With Australiaʼs ageing population, especially in rural regions, promoting physical activity among older adults is crucial. Objective: To identify factors influencing participation of older adults (60 years or over) from a rural community in a modified sport program and assess satisfaction with a pilot modified sport program informed by these findings. Design: Insights and ideas from two focus groups exploring community perspectives on a modified sport program informed the development of a six-week pilot modified sport program delivered with the local fitness centre. Post-program surveys assessed participant satisfaction, willingness to continue, and likelihood of recommending the program to others. Findings: Nine participants attended the focus groups, highlighting increased social connection, health management, and healthy ageing as key motivators. Joint and health concerns, cost, and time constraints emerged as main barriers. Preferences for the program included weekly sessions, alternating sports, indoor venues, and supporting modifications, but maintaining traditional rules. Thirteen participants participated in the pilot modified sport program. There was strong program attendance (86%). All participants (13/13) rated their satisfaction as very satisfied. They were highly likely to recommend the program to others (8.5/10) and were interested in continuing modified sport after the pilot (7.7/10). Discussion: This study demonstrates for the first time that modified sport is of interest to older people in the rural setting, and that delivering such a program is feasible in a small community. Rural communities implementing modified sport should consider the availability of suitable facilities and equipment, access to an engaging facilitator and participant cost. Conclusion: Through a strong connection between the health service and community fitness centre, a modified sport program was developed and implemented, well-attended and enjoyed by participants in a rural community. © 2024 National Rural Health Alliance Ltd.

A comparative analysis of hybrid RF models for efficient lithology prediction in hard rock tunneling using TBM working parameters

- Zhou, Jian, Yang, Peixi, Yong, Weixun, Khandelwal, Manoj, Huang, Shuai

  • Authors: Zhou, Jian , Yang, Peixi , Yong, Weixun , Khandelwal, Manoj , Huang, Shuai
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Acta Geophysica Vol. 72, no. 3 (2024), p. 1847-1866
  • Full Text: false
  • Reviewed:
  • Description: With the escalating demand for underground mining and infrastructure construction, the optimization of tunnel construction has emerged as a primary concern for researchers. The geological conditions encountered during the excavation of hard rock tunnels using tunnel boring machines (TBM) significantly impact construction efficiency and cost-effectiveness. The existing lithology testing methods need to be more efficient in aligning with TBM operational efficiency. In recent years, the rapid advancement of artificial intelligence has paved the way for its integration into numerous domains, including tunnel engineering. To address this issue, this study proposes three innovative hybrid RF-based intelligent models, namely PSO-RF, ALO-RF, and GWO-RF, for the precise prediction of lithology in hard rock tunnels using TBM working parameters. The TBM operating parameters of the Jilin Yinsong Water Supply Project serve as the basis for this investigation. Twelve distinct characteristic parameters relevant to the lithology of the tunnel working face were carefully selected as input parameters for lithology prediction. Comparative analysis of the three hybrid models reveals that GWO-RF demonstrates exceptional lithology prediction performance (ACC = 0.999924; PREA = 0.0.9999976; RECA = 0.999775; F1A = 0.999876; Kappa = 0.999911), whereas PSO-RF and ALO-RF exhibit slightly inferior performance. Nonetheless, all three hybrid models exhibit a significant improvement in prediction accuracy compared to the unoptimized RF model. The research findings presented herein facilitate the swift determination of TBM working surface lithology, enabling timely adjustment of TBM working parameters, reducing equipment wear and tear, and enhancing construction efficiency. © The Author(s), under exclusive licence to Institute of Geophysics of the Polish Academy of Sciences 2024.

A data-driven trajectory approach for dynamic VAr support in renewable rich power grid

- Alshareef, Abdulrhman, Shah, Rakibuzzaman, Mithulananthan, Nadarajah, Akram, Umer, Alzahrani, Saeed

  • Authors: Alshareef, Abdulrhman , Shah, Rakibuzzaman , Mithulananthan, Nadarajah , Akram, Umer , Alzahrani, Saeed
  • Date: 2024
  • Type: Text , Journal article
  • Relation: IEEE Access Vol. 12, no. (2024), p. 77816-77830
  • Full Text:
  • Reviewed:
  • Description: Short-term voltage stability (STVS) of power grids could be jeopardized due to the nonlinear dynamic characteristics of loads such as induction motors (IMs) and the retirement of synchronous generators. Moreover, the appearance of inverter-based generators (IBGs) in the system would make the grids more susceptible to voltage instability. Hence, there is an indispensable need to identify adequate mitigation measures to deal with these enduring challenges. This paper proposes a driven-data trajectory approach to locate the dynamic VAr support (DVS) to maintain STVS in power grids with high penetration of IBGs. The proposed data-driven trajectory approach ranks the best locations for DVS by comparing grid responses of different possible DVS sites with respect to the desired reference response. The developed approach covers the full signature of grid dynamics in generation and load sides. For illustration, this approach is applied to the Reliability and Voltage Stability (RVS) test system designed for STVS analysis. Several scenarios are tested, including various IM penetrations and IBG integration, control and load compositions, to demonstrate the viability and robustness of the proposed approach. Moreover, the STVS performance of the system with the proposed algorithm is verified through the motor stalling scan. The comprehensive assessment shows that the system exhibits the best STVS performance with DVS placement using the proposed method. © 2013 IEEE.

A distributed VPP-integrated co-optimization framework for energy scheduling, frequency regulation, and voltage support using data-driven distributionally robust optimization with Wasserstein metric

- Esfahani, Moein, Alizadeh, Ali, Amjady, Nima, Kamwa, Innocent

  • Authors: Esfahani, Moein , Alizadeh, Ali , Amjady, Nima , Kamwa, Innocent
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Applied Energy Vol. 361, no. (2024), p.
  • Full Text:
  • Reviewed:
  • Description: With deepening decarbonization and increased Renewable Energy Sources (RESs) integration, the power system's inertia has declined, affecting the network's ability to balance power at the distribution level. Concurrently, the proliferation of prosumers presents a regulatory opportunity for Distribution System Operators (DSOs), despite the complexity introduced by their high number and varied behaviors. This paper introduces a new co-scheduling model optimizing prosumers' capacities through Virtual Power Plants (VPPs) in local networks, enhancing DSO oversight and facilitating prosumer participation in regulation markets. The proposed model concurrently schedules energy provision alongside voltage and frequency regulation capacities. Recognizing prosumers' behavioral uncertainties, Data-Driven Distributionally Robust Optimization (DDRO) is employed to ensure adequate capacity for VPP engagement. Importantly, the paper outlines a mechanism allowing DSOs to partner with multiple privately-owned VPPs, ensuring privacy through an adaptive Alternative Direction Method of Multipliers (ADMM) method. This method avoids the exchange of sensitive information, ensuring confidentiality and scalability. Consequently, VPPs can proficiently manage scheduling and communicate their regulation capacities. The operator then dispatches control signals based on regulation needs and network flow. Results from the IEEE 33 bus test system confirm the model's efficacy in enhancing voltage support and frequency regulation, and generating revenue for both VPPs and prosumers. © 2023

A dual-coupled double-lcc system with the capability of misalignment tolerance improvement for wireless charging substation inspection robots

- Li, Xiaofei, Yu, Fengying, Madawala, Udaya, Wang, Heshou, Feng, Hui, Dai, Xin, Hu, Jiefeng

A low-cost deep-learning-based system for grading cashew nuts

- Pham, Van-Nam, Do Ba, Quang-Huy, Tran Le, Duc-Anh, Nguyen, Quang-Minh, Do Van, Dinh, Nguyen, Linh

  • Authors: Pham, Van-Nam , Do Ba, Quang-Huy , Tran Le, Duc-Anh , Nguyen, Quang-Minh , Do Van, Dinh , Nguyen, Linh
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Computers Vol. 13, no. 3 (2024), p.
  • Full Text:
  • Reviewed:
  • Description: Most of the cashew nuts in the world are produced in the developing countries. Hence, there is a need to have a low-cost system to automatically grade cashew nuts, especially in small-scale farms, to improve mechanization and automation in agriculture, helping reduce the price of the products. To address this issue, in this work we first propose a low-cost grading system for cashew nuts by using the off-the-shelf equipment. The most important but complicated part of the system is its “eye”, which is required to detect and classify the nuts into different grades. To this end, we propose to exploit advantages of both the YOLOv8 and Transformer models and combine them in one single model. More specifically, we develop a module called SC3T that can be employed to integrate into the backbone of the YOLOv8 architecture. In the SC3T module, a Transformer block is dexterously integrated into along with the C3TR module. More importantly, the classifier is not only efficient but also compact, which can be implemented in an embedded device of our developed cashew nut grading system. The proposed classifier, called the YOLOv8–Transformer model, can enable our developed grading system, through a low-cost camera, to correctly detect and accurately classify the cashew nuts into four quality grades. In our grading system, we also developed an actuation mechanism to efficiently sort the nuts according to the classification results, getting the products ready for packaging. To verify the effectiveness of the proposed classifier, we collected a dataset from our sorting system, and trained and tested the model. The obtained results demonstrate that our proposed approach outperforms all the baseline methods given the collected image data. © 2024 by the authors.

A new closed-loop solar power forecasting method with sample selection

- Kharazi, Somaieh, Amjady, Nima, Nejati, Maryam, Zareipour, Hamidreza

  • Authors: Kharazi, Somaieh , Amjady, Nima , Nejati, Maryam , Zareipour, Hamidreza
  • Date: 2024
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Sustainable Energy Vol. 15, no. 1 (2024), p. 687-698
  • Full Text: false
  • Reviewed:
  • Description: In this article, a new short-term solar power forecasting method is proposed which has a closed-loop structure composed of point-estimating and range-classifying parts. If the forecasts generated by these parts for solar power are inconsistent, the feedback loop sends appropriate signals to them to correct their predictions. The feedback loop iterates until consistent forecasts are generated for the solar power by the point-estimating and range-classifying parts. This enables the proposed closed-loop forecasting method to enhance its solar power prediction accuracy and reliability. Furthermore, a novel sample selection approach, different from feature selection methods, is devised to mine the historical data for finding the most informative training samples for training the proposed forecasting engine. The effectiveness of the proposed solar power forecasting method is illustrated by testing it on some real-world solar farms and comparing its results with the results of several state-of-the-art solar power prediction methods. © 2010-2012 IEEE.

A new systemic disease mouse model for glioblastoma capable of single-tumour-cell detection

- Ware, Thomas, Luwor, Rodney, Zhu, Hong-Jian

  • Authors: Ware, Thomas , Luwor, Rodney , Zhu, Hong-Jian
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Cells Vol. 13, no. 2 (2024), p.
  • Full Text:
  • Reviewed:
  • Description: Background: Glioblastoma is characterised by extensive infiltration into the brain parenchyma, leading to inevitable tumor recurrence and therapeutic failure. Future treatments will need to target the specific biology of tumour recurrence, but our current understanding of the underlying mechanisms is limited. Significantly, there is a lack of available methods and models that are tailored to the examination of tumour recurrence. Methods: NOD-SCID mice were orthotopically implanted with luciferase-labelled donor U87MG or MU20 glioblastoma cells. Four days later, an unlabelled recipient tumor was implanted on the contralateral side. The mice were euthanised at a humane end-point and tissue and blood samples were collected for ex vivo analyses. Results: The ex vivo analyses of the firefly-labelled MU20 tumours displayed extensive invasion at the primary tumour margins, whereas the firefly-labelled U87MG tumours exhibited expansive phenotypes with no evident invasions at the tumour margins. Luciferase signals were detected in the contralateral unlabelled recipient tumours for both the U87MG and MU20 tumours compared to the non-implanted control brain. Remarkably, tumour cells were uniformly detected in all tissue samples of the supratentorial brain region compared to the control tissue, with single tumour cells detected in some tissue samples. Circulating tumour cells were also detected in the blood samples of most of the xenografted mice. Moreover, tumour cells were detected in the lungs of all of the mice, a probable event related to haematogenous dissemination. Similar results were obtained when the U87MG cells were alternatively labelled with gaussian luciferase. Conclusions: These findings describe a systemic disease model for glioblastoma which can be used to investigate recurrence biology and therapeutic efficacy towards recurrence. © 2024 by the authors.

A novel dataset for baby broccoli identification by using YOLOv8 model

- Mohamed, Rizan, Appuhamillage, Gayan, Kamruzzaman, Joarder, Nguyen, Linh

  • Authors: Mohamed, Rizan , Appuhamillage, Gayan , Kamruzzaman, Joarder , Nguyen, Linh
  • Date: 2024
  • Type: Text , Conference paper
  • Relation: 33rd International Symposium on Industrial Electronics, ISIE 2024, Ulsan, South Korea, 18-21 June 2024, IEEE International Symposium on Industrial Electronics, 2024 33rd International Symposium on Industrial Electronics (ISIE) Proceedings
  • Full Text: false
  • Reviewed:
  • Description: As global population increases, the need for agricultural automation becomes crucial for a stable food supply. An autonomous mechanism for picking baby broccoli could economically benefit farmers and society. To date, efforts to develop an automated baby broccoli harvesting solution have been absent. A key step in automation, particularly for the automated recognition of baby broccoli heads through computer vision, involves the creation of a rich dataset that sufficiently captures the characteristics of baby broccoli heads, as such a dataset has not yet been collected or published. This paper marks the first step towards automating baby broccoli harvesting by creating a novel dataset and testing its accuracy for precise identification. We have gathered data using custom software and a RealSense D435 Depth camera, known for its depth and stereo vision capabilities. The initial results of the model that was trained from our dataset had mAP values ranging from 0.869 to 0.942. This initial training shows that the dataset fits the purpose of detecting baby broccoli heads. Further results shows that when the model is 97.7% confident or more, its predictions are 100% precise. © 2024 IEEE.

A novel extended sliding-mode predictive control with dynamic optimization and virtual voltage vectors

- Wang, Youcheng, Yang, Yong, Xiao, Yang, Fan, Mingdi, Chen, Rong, Hu, Jiefeng, Yang, Xingwu, Xiang, Chaoqun, Yang, Hui, Rodriguez, Jose

  • Authors: Wang, Youcheng , Yang, Yong , Xiao, Yang , Fan, Mingdi , Chen, Rong , Hu, Jiefeng , Yang, Xingwu , Xiang, Chaoqun , Yang, Hui , Rodriguez, Jose
  • Date: 2024
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Power Electronics Vol. 39, no. 9 (2024), p. 10976-10988
  • Full Text: false
  • Reviewed:
  • Description: This article proposes a novel extended sliding-mode predictive control strategy for three-phase three-level voltage source inverters. Initially, the control domain is established using sliding-mode theory, dynamically reducing the search space. Subsequently, a unique parallel optimization strategy is presented in the two-phase stationary coordinate system, with an analysis of the monotonicity of the cost functions and the constraints within the search space. Compared to traditional model predictive control, this approach results in a calculation time reduction of at least 51.3%. To mitigate output ripple, a novel design method for virtual voltage vectors (VVVs) is proposed based on

A portent of academic upheaval : the story of John McCarty, W. A. ‘Gus’ Sinclair and the Chair of Economic History at Monash University, 1967–1993

- Millmow, Alex

  • Authors: Millmow, Alex
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Asia-Pacific Economic History Review Vol. 64, no. 2 (2024), p. 242-252
  • Full Text: false
  • Reviewed:
  • Description: This article examines the rise and fall of the department of economic history at Monash University, between 1967 and 1993, through the prism of the careers of academics John McCarty and Angus Sinclair. The Monash staff personnel files reveal the importance of a small number of influential ‘God Professors’ in the initial appointment, and in the eventual loss of the department in the face of expanding business education. © 2024 Economic History Society of Australia and New Zealand and John Wiley & Sons Australia, Ltd.

A qualitative study of Australian indigenous perceptions of success

- Hamilton, Ian

  • Authors: Hamilton, Ian
  • Date: 2024
  • Type: Text , Thesis , PhD
  • Full Text:
  • Description: This study explored Australian Indigenous perspectives of the concept of success. Qualitative audio interviews with semi-structured questions and a conversational approach adhered to the Indigenous research paradigm. Participants were provided with an opportunity to share their views. The welcoming nature of Indigenous communities as well as other rewarding experiences for myself were echoed during this study and examples were reported. A local Indigenous individual noticed that Indigenous perspectives of success often differed from many common ideas within a mainstream Western society. This was confirmed by the comments of eleven research participants. The literature review highlighted an earlier literary emphasis on problems rather than the positive aspects of Indigenous communities. Investigating stories related to success was an attempt to avoid adding more unpleasant material that was present in the literature. The literature review empathised with Dennis Foley researching Indigenous success in entrepreneurism and Jeannie Herbert examining success in higher education, followed by an examination of the meaning of success. This study sought generalised community views of success, rather than success in one field. Most data for this research were collected in the central Gippsland region, supplemented with three interviews at Circular Quay in Sydney. All participants indicated they lived a suburban lifestyle; 29 qualitative interviews were conducted, with 26 rated as useful and transcribed verbatim. All interviews satisfied the ethical clearance requirements and followed the advice of key authors arguing for decolonisation when completing modern research. Interviews were analysed by employing grounded theory thematic analysis, using an interpretive method with elements of deductive reasoning. Five observed themes were classified as general comments about success: success is different, success is available to all, difficulty discussing success, determination, and creativity or spirituality. Five themes were classed as definition of success: family support, contribution to community, achieving goals, happiness and continuing culture. A discussion of links between themes argued the broad range of views of participants evinced communal implications for success as well as a devaluation of materialism. Other links included the support for cultural traditions and the inadequacy of common Western definitions of the concept of success. The analysis acknowledged the overlaps between cultures that can exist when comparing Indigenous with mainstream cultures, especially when recognising individual differences. Literature identified concurred with findings from this study. Research limits included sampling restrictions and a limited time frame. Suggestions for further research included extra research be completed in more regions in Australia with more women, a broader age range and more cultural groups. Differences were observed regarding the concept of success for Indigenous individuals when compared with more common mainstream Western views as well appreciating the value of continuing the culture were two examples of the claims made by most participants. Therefore, the findings of the research resulted in recommendations for policymakers, educationists, academic researchers and the general community to converse with Indigenous groups and increase the understanding of the views for the meaning of the concept of success.
  • Description: Doctor of Philosophy

A review of the biology, distribution, and management challenges posed by the invasive weed Ziziphus mauritiana L., with special reference to its invasion in Australia

- Roberts, Jason, Dhileepan, Kunjithapatham, Florentine, Singarayer

  • Authors: Roberts, Jason , Dhileepan, Kunjithapatham , Florentine, Singarayer
  • Date: 2024
  • Type: Text , Journal article , Review
  • Relation: Weed Research Vol. 64, no. 1 (2024), p. 8-18
  • Full Text:
  • Reviewed:
  • Description: Ziziphus mauritiana is an economically detrimental and environmentally destructive plant in non-native areas where it has escaped cultivation. It forms dense, impenetrable thickets that restrict the movement of livestock across the landscape and has the capacity to alter various ecological functions at the site of invasion, all of which contribute towards land degradation and the reduction of economic profitability. Although there are several management strategies implemented to control Z. mauritiana, it is clear that no single-method approach will effectively control the species in the long-term. Whilst chemical and mechanical methods appear to show promising results, they tend to be restricted to areas that are easily accessible and, even so, can be challenging and laborious to treat evenly across dense thicket areas. Several prospective biological control agents have been identified for Z. mauritiana, although further investigations are required to ascertain the host specificity, and to explore and identify their climatic and environmental suitability of host specific agents for release in non-native regions. Ecological burning alone is not effective in controlling Z. mauritiana and will likely increase its emergence. As such, it could be adopted as part of an integrated management approach to assist other methods for long-term control, but again the development of such an approach requires further investigation. To contribute towards the control of Z. mauritiana, this review explores its biology, distribution and management challenges whilst identifying areas of research that will assist in the long-term and confident control of the species, with an emphasis on its invasion in Australia. © 2024 The Authors. Weed Research published by John Wiley & Sons Ltd on behalf of European Weed Research Society.

A self-determination theory approach to teacher digital competence development

- Chiu, Thomas, Falloon, Garry, Song, Yanjie, Wong, Vincent, Zhao, Li, Ismailov, Murod

  • Authors: Chiu, Thomas , Falloon, Garry , Song, Yanjie , Wong, Vincent , Zhao, Li , Ismailov, Murod
  • Date: 2024
  • Type: Text , Journal article
  • Relation: Computers and Education Vol. 214, no. (2024), p.
  • Full Text:
  • Reviewed:
  • Description: Teacher Digital Competence (TDC) framework guides policy revision and professional development, empowering teachers for future classrooms by technologies such as artificial intelligence (AI) and metaverse. Falloon (2020) expanded the TPACK framework to include personal-ethic and personal-professional competencies, addressing ethical, safe, and productive functioning in diverse, digital environments for a new TDC framework. The two new sets of personal-competencies are very important to the use of AI and metaverse in education. However, research on implementation of Falloon's (2020) TDC framework that requires interdisciplinary collaboration among school members is limited. Teachers' engagement in TDC development activities is influenced by school digital learning policy and culture, and explained by three needs satisfaction in Self-determination Theory. Therefore, this study had two goals. First it proposed and examined a research model using school learning support as a predictor, needs satisfactions as mediating variable and the two new sets of TDC as criterion variables by analyzing questionnaire data. Second, it identifies needs-supportive strategies for digital education by analyzing interviews and school documents. The participants were 370 school teachers. The results showed that the positive effect of the school learning support on TDC, and needs satisfaction fully mediated the relationship between perceived school learning support and the two sets of personal competencies. We also suggested 12 ways for designing school digital policy and culture that satisfy teachers' needs, and validated instruments of the two sets of personal competencies. TDC that covers teacher artificial intelligence competence is important to the future teacher professional development. © 2024 The Authors

A simultaneous power and data transfer method for dynamic wireless charging electric vehicles

- Li, Xiaofei, Zheng, Fan, Wang, Heshou, Sun, Yue, Dai, Xin, Hu, Jiefeng

  • Authors: Li, Xiaofei , Zheng, Fan , Wang, Heshou , Sun, Yue , Dai, Xin , Hu, Jiefeng
  • Date: 2024
  • Type: Text , Journal article
  • Relation: IEEE journal of emerging and selected topics in power electronics Vol. 12, no. 1 (2024), p. 328-340
  • Full Text: false
  • Reviewed:
  • Description: This paper proposes a new method for simultaneous dynamic wireless power and data transfer (SDWPDT). When the receiver is moving, both power and data transfer channels are dynamically switched ON/OFF according to the receiver's position. In essence, data is transmitted through the high-frequency electric field (EF) generated by the parasitic capacitances of the coupling coils and the metal shield plates, while power is transmitted through the relatively low-frequency magnetic field (MF) generated by coupling coils. By doing this, mutual interference between two transfer channels (i.e., power and data transfer channels) is relatively small. Firstly, the interference from power to data can be greatly reduced due to the absence of a direct electrical wire-based connection. Secondly, the power loss caused by the data transfer channel in the power link is very small so it can be ignored. In addition, the implementation of real-time communication facilitates the establishment of a closed-loop control within the system. This mechanism guarantees consistent power output during dynamic movement, even in the presence of fluctuations in load or input voltage. Laboratory prototype-based experimental findings substantiate the feasibility of the proposed approach.

A simultaneous wireless power and data transfer method utilizing a novel coupler design for rotary steerable systems

- Li, Xiafei, Li, Zhiheng, Madawala, Udaya, Wang, Heshou, Sun, Yue, Dai, Xin, Hu, Jiefeng

  • Authors: Li, Xiafei , Li, Zhiheng , Madawala, Udaya , Wang, Heshou , Sun, Yue , Dai, Xin , Hu, Jiefeng
  • Date: 2024
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Power Electronics Vol. 39, no. 9 (2024), p. 11824-11833
  • Full Text: false
  • Reviewed:
  • Description: This article introduces a simultaneous wireless power and data transfer method by using a half-cylinder-stator and quarter-cylinder-rotator coupling mechanism for rotary steerable systems. Through this configuration, stability and synchronization of both power and data transfers are ensured, notably under comprehensive 360° rotational conditions. Moreover, based on the decoupling characteristics, the interference between power and data transfer is also greatly reduced. A prototype is built, which illustrates that the proposed structure possesses the constant voltage output and stable data transfer capability. Furthermore, observations indicate that the output voltage can be maintained as stable at 48 V with a deviation of ±2.7%. And there is no detectable significant change in data transfer voltage amplitude. During the full 360° rotation, the system dc-dc efficiency range is from 86.7% to 88.9%. © 1986-2012 IEEE.