"Grammar, I hate" or "I grammar hate"?: L1 and L2 word order differences and bilingual DLD assessment
- Authors: Han, Weifeng
- Date: 2024
- Type: Text , Book chapter
- Relation: Multifaceted multilingualism Chapter 7 p. 184-203
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- 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
- 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
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- 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 new closed-loop solar power forecasting method with sample selection
- 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
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- 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
- Authors: Ware, Thomas , Luwor, Rodney , Zhu, Hong-Jian
- Date: 2024
- Type: Text , Journal article
- Relation: Cells Vol. 13, no. 2 (2024), p.
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- 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 Simultaneous power and data transfer method for dynamic wireless charging electric vehicles
- 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. 1-1
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- 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 step-up 5-level transformer-less switched capacitor inverter without leakage current for PV system application
- Authors: Ardashir, Jaber , Ghadim, Hadi , Ogly, Aydin , Hu, Jiefeng , Peyghami, Saeed
- Date: 2024
- Type: Text , Journal article
- Relation: IEEE Transactions on Industry Applications Vol. 60, no. 1 (2024), p. 622-632
- Full Text: false
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- Description: This article proposes a 1-
A survey of commercial and industrial demand response flexibility with energy storage systems and renewable energy
- Authors: Yasmin, Roksana , Amin, B.M. Ruhu , Shah, Rakibuzzaman , Barton, Andrew
- Date: 2024
- Type: Text , Journal article , Review
- Relation: Sustainability (Switzerland) Vol. 16, no. 2 (2024), p.
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- Description: The transition from traditional fuel-dependent energy systems to renewable energy-based systems has been extensively embraced worldwide. Demand-side flexibility is essential to support the power grid with carbon-free generation (e.g., solar, wind.) in an intermittent nature. As extensive energy consumers, commercial and industrial (C&I) consumers can play a key role by extending their flexibility and participating in demand response. Onsite renewable generation by consumers can reduce the consumption from the grid, while energy storage systems (ESSs) can support variable generation and shift demand by storing energy for later use. Both technologies can increase the flexibility and benefit by integrating with the demand response. However, a lack of knowledge about the applicability of increasing flexibility hinders the active participation of C&I consumers in demand response programs. This survey paper provides an overview of demand response and energy storage systems in this context following a methodology of a step-by-step literature review covering the period from 2013 to 2023. The literature review focuses on the application of energy storage systems and onsite renewable generation integrated with demand response for C&I consumers and is presented with an extensive analysis. This survey also examines the demand response participation and potential of wastewater treatment plants. The extended research on the wastewater treatment plant identifies the potential opportunities of coupling biogas with PV, extracting the thermal energy and onsite hydrogen production. Finally, the survey analysis is summarised, followed by critical recommendations for future research. © 2024 by the authors.
Advanced care directives in residential aged care for residents with major neuro-cognitive disorders (dementia) : a scoping Review
- Authors: Hormazábal-Salgado, Raul , Osman, Abdi , Poblete-Troncoso, Margarita , Whitehead, Dean , Hills, Danny
- Date: 2024
- Type: Text , Journal article
- Relation: Journal of Social Work in End-of-Life and Palliative Care Vol. 20, no. 1 (2024), p. 83-114
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- Description: The aim of this review was to identify, assess, collate, and analyze existing research that has made a direct contribution to aiding understanding of the ethical and decision-making issues related to the use of advance care directives for people with dementia and/or other major neurocognitive disorders and/or their surrogate decision-makers on treatment. The Web of Science, Scopus, PubMed, CINAHL, Academic Search Ultimate, and MEDLINE databases were searched between August and September 2021 and July to November 2022 limited to primary studies written in English, Spanish, or Portuguese. Twenty-eight studies of varying quality that addressed related thematic areas were identified. These themes being support for autonomy in basic needs (16%), making decisions ahead/planning ahead and upholding these decisions (52%), and support in decision-making for carers (32%). Advance care directives are an important mechanism for documenting treatment preferences in patient care planning. However, the available literature on the topic is limited in both quantity and quality. Recommendations for practice include involving decision makers, promoting educational interventions, exploring how they are used and implemented, and promoting the active involvement of social workers within the healthcare team. © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
An analysis of the nature of young students’ STEM learning in 3D technology-enhanced makerspaces
- Authors: Forbes, Anne , Falloon, Garry , Stevenson, Michael , Hatzigianni, Maria , Bower, Matt
- Date: 2024
- Type: Text , Book chapter
- Relation: Developing culturally and developmentally appropriate early STEM learning experiences Chapter 11 p. 172-187
- Full Text: false
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- Description: Research Findings: This study was undertaken to investigate learning processes and outcomes from using 3D design and printing technologies with children aged 5–8 years, in three schools in a metropolitan city in Australia. Data were collected from five sources (teacher interviews, surveys, journals; student interviews; and iPad screen recordings) and analyzed to identify themes responding to the question: What is the nature of students’ learning and learning processes in technology-enhanced Makerspaces? Findings report the perspectives of teachers and students, supplemented by screen recordings from the iPads. Students were found to have significant engagement in learning through involvement in these technology-enhanced Makerspaces, and to have developed skills and understanding in a number of areas including: digital technical proficiency, design thinking, problem solving, critical thinking, collaboration, and communication. Findings are conceptualized using a research-informed Maker Literacies Framework, to better understand the nature of students’ learning and work processes while engaged in these environments. Practice or Policy: Findings imply that Makerspaces with 3D design and printing could be used to promote young children’s STEM literacies although teachers need to be mindful of the need to explicitly plan for and teach important STEM concepts, if learning in these disciplines is a goal. © 2020, © 2020 Taylor & Francis Group, LLC.
An exploration of online technoliteracy capability teaching and learning in early years classrooms
- Authors: Falloon, Garry
- Date: 2024
- Type: Text , Journal article
- Relation: Education and Information Technologies Vol. 29, no. 1 (2024), p. 625-654
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- Description: The increasing use of digital devices by young children, has led to calls for earlier teaching for information literacy. However, some research indicates reluctance to do this, due to perceived limitations of young children and notions about what is and is not ‘appropriate’ for them learn. This study examines this proposition, through analysis of 6 and 7 year olds’ application of ‘Technoliteracy’ capabilities during a unit of learning about Matariki (the Maori new year). It used an updated and expanded revision of Durrant and Green’s (2000) l(IT)eracy capability model, to understand how the students applied ‘Technoliteracy’ capabilities to online research and production of an information artefact for an identified audience. Although results were mixed, data was found of students’ productive engagement of ‘Technoliteracy’ capabilities aligned with Durrant and Green’s dimensions, suggesting that with developmentally-appropriate curriculum and pedagogy they were capable of integrating these for meaning making, judging meaning quality, and meaning sharing and communication. Given increasingly ubiquitous access to devices from a young age, results indicate that serious consideration should be given to teaching basic ‘Technoliteracy’ capabilities in early years classrooms. © 2023, Crown.
Analysing maintenance and renewal decision of sealed roads at city council in australia
- Authors: Shrestha, Kishan , Chattopadhyay, Gopi
- Date: 2024
- Type: Text , Conference paper
- Relation: 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Lulea, Sweden, 13-15 June 2023, International Congress and Workshop on Industrial AI and eMaintenance 2023 Conference proceedings p. 291-301
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- Description: Roads are one of the major physical infrastructures of Hepburn Shire Council (HSC) as of all other local councils. Every year HSC allocates and spends huge amount of budget on roads for maintenance and renewal. The road performance condition level has been the major priority for roads renewal selection. However, other criteria are under-considered, and there are gaps in significant analysis of the relation between roads age, condition, risk, and cost. In this study, decision-making framework or tool has developed using multi criteria technique (MCT) and analytic Hierarchy Process (AHP) for single objective optimisation i.e., to provide an agreed level of service optimising Maintenance and Renewal cost or improve the condition subjected to annual budget. This study adopted decision criteria as per community and council needs, by developing a model for criteria selection. Additionally, this study analysed the adopted HSC maintenance strategies, condition monitoring systems, performance conditions of the roads, and operational and renewal budget of HSC. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Animal models, pathogenesis, and potential treatment of thoracic aortic aneurysm
- Authors: Wang, Yutang , Panicker, Indu , Anesi, Jack , Sargisson, Owen , Atchison, Benjamin , Habenicht, Andreas
- Date: 2024
- Type: Text , Journal article , Review
- Relation: International Journal of Molecular Sciences Vol. 25, no. 2 (2024), p.
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
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- Description: Thoracic aortic aneurysm (TAA) has a prevalence of 0.16–0.34% and an incidence of 7.6 per 100,000 person-years, accounting for 1–2% of all deaths in Western countries. Currently, no effective pharmacological therapies have been identified to slow TAA development and prevent TAA rupture. Large TAAs are treated with open surgical repair and less invasive thoracic endovascular aortic repair, both of which have high perioperative mortality risk. Therefore, there is an urgent medical need to identify the cellular and molecular mechanisms underlying TAA development and rupture to develop new therapies. In this review, we summarize animal TAA models including recent developments in porcine and zebrafish models: porcine models can assess new therapeutic devices or intervention strategies in a large mammal and zebrafish models can employ large-scale small-molecule suppressor screening in microwells. The second part of the review covers current views of TAA pathogenesis, derived from recent studies using these animal models, with a focus on the roles of the transforming growth factor-beta (TGF
Assessing the validity and reliability of a baseball pitch discrimination online task
- Authors: Grieve, Georgia , Besler, Zachary , Müller, Sean , Spering, Miriam , Hodges, Nicola
- Date: 2024
- Type: Text , Journal article
- Relation: International Journal of Sport and Exercise Psychology Vol. 22, no. 2 (2024), p. 481-505
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- Description: There has been an increasing interest in training perceptual skills in sports through online video-based methods, particularly in baseball. However, there is little empirical evidence related to the reliability and validity of such online methods for the assessment of these skill. Here we developed an online task to assess pitch discrimination and evaluated (a) inter-item reliability, (b) reliability in assessment compared to an in-person task, also tapping into external validity and (c) discriminability across different skill groups. We also compared performance on a non-sport specific Dynamic Visual Acuity task (DVA), thought to tap into underlying visual skills comprising pitch discrimination. Skilled, Varsity-level baseball players (n = 17) were compared to novices (n = 14) when discriminating pitches thrown by two different pitchers, across three pitch types, edited to progressively remove sections of ball flight (3 time points). The online task discriminated across skill groups, showed good reliability across repeated viewings and from the online task to an in-person assessment of skilled athletes (n = 8). There were, however, differences in reliability and discriminant validity based on the type of pitcher, with one pitcher being responded to more accurately and reliably. Skilled participants showed good discriminability between fastballs and change-ups. There were no group differences for DVA, nor did it correlate with pitch discrimination for the skilled group. These data illustrate the reliability of online video assessments, but raise issues concerning discriminability across different pitchers and when standing ready to swing. Greater sensitivity testing of such assessments is still needed, within and across skill groups. © 2024 International Society of Sport Psychology.
Civilizational analysis as a mode of the intercultural : intercivilizational encounters, the intercultural and contemporary historical sociology
- Authors: Smith, Jeremy
- Date: 2024
- Type: Text , Journal article
- Relation: Journal of Intercultural Studies Vol. 45, no. 2 (2024), p. 310-325
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- Description: Classical and contemporary civilizational analysis has not sat comfortably with theoretical constructions of the intercultural or their empirical applications. A ‘classical era’ of civilizations analysis generated a program of research problems that was productive in critical and multidisciplinary ways and limited in scope and vision in others, but this failed to generate a provisional notion of the intercultural. Contemporary civilizational analysis improves on this position significantly in respect of the intercultural, particularly in the development of a current around ‘intercivilizational encounters’. This essay examines this current especially in the work of Benjamin Nelson, Marshall Hodgson and Johann P. Arnason. Arguing that this approach represents vital advances for theoretical constructions of the intercultural in civilizational analysis and more generally in the human sciences, the essay also identifies limitations in latter-day approaches. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Control of distributed converter-based resources in a zero-inertia microgrid using robust deep learning neural network
- Authors: Ngamroo, Issarachai , Surinkaew, Tossaporn
- Date: 2024
- Type: Text , Journal article
- Relation: IEEE Transactions on Smart Grid Vol. 15, no. 1 (2024), p. 49-66
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- Description: Considering the evolution of future microgrids (MGs) towards zero-inertia level due to the penetrations of distributed converter-based resources (DCRs), a large number of data produced by these generations will lead the control decisions to be more complicated than conventional power systems. This paper presents a control strategy for a zero-inertia MG with DCRs using a robust deep learning neural network (RDeNN). In a training phase, a sub-space state-based identification method is employed to monitor and analyze the data regarding stability indices, i.e., damping and frequency of dominant modes, and robustness against uncertainties. In addition, a mixed H2/H
Coupled attention networks for multivariate time series anomaly detection
- Authors: Xia, Feng , Chen, Xin , Yu, Shuo , Hou, Mingliang , Liu, Mujie , You, Linlin
- Date: 2024
- Type: Text , Journal article
- Relation: IEEE Transactions on Emerging Topics in Computing Vol. 12, no. 1 (2024), p. 240-253
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- Description: Multivariate time series anomaly detection (MTAD) plays a vital role in a wide variety of real-world application domains. Over the past few years, MTAD has attracted rapidly increasing attention from both academia and industry. Many deep learning and graph learning models have been developed for effective anomaly detection in multivariate time series data, which enable advanced applications such as smart surveillance and risk management with unprecedented capabilities. Nevertheless, MTAD is facing critical challenges deriving from the dependencies among sensors and variables, which often change over time. To address this issue, we propose a coupled attention-based neural network framework (CAN) for anomaly detection in multivariate time series data featuring dynamic variable relationships. We combine adaptive graph learning methods with graph attention to generate a global-local graph that can represent both global correlations and dynamic local correlations among sensors. To capture inter-sensor relationships and temporal dependencies, a convolutional neural network based on the global-local graph is integrated with a temporal self-attention module to construct a coupled attention module. In addition, we develop a multilevel encoder-decoder architecture that accommodates reconstruction and prediction tasks to better characterize multivariate time series data. Extensive experiments on real-world datasets have been conducted to evaluate the performance of the proposed CAN approach, and the results show that CAN significantly outperforms state-of-the-art baselines. © 2013 IEEE.
Crop monitoring by multimodal remote sensing : a review
- Authors: Karmakar, Priyabrata , Teng, Shyh , Murshed, Manzur , Pang, Shaoning , Li, Yanyu , Lin, Hao
- Date: 2024
- Type: Text , Journal article , Review
- Relation: Remote Sensing Applications: Society and Environment Vol. 33, no. (2024), p.
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- Description: Effective approaches to achieve food safety and security can prevent catastrophic situations. Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily achieved by capturing data from various remote sensing (RS) devices followed by processing them. Most RS devices are useful in monitoring crops and analysing different stages of plant growth successfully. However, individual devices have some limitations. To overcome this, multimodal remote sensing (MRS) methods have been gradually gaining popularity. In the multimodal approach, data from more than one modality are used together to obtain a better outcome. This is because, different modalities of data when used together can complement each other to achieve the same objective by combining their strengths and reducing their limitations, simultaneously. MRS methods have been found to be particularly useful for crop monitoring as they allow for the integration of data from multiple sources, resulting in a more comprehensive understanding of plant growth and development. By using MRS methods, it is possible to obtain a more accurate and detailed analysis of crop conditions, leading to improved decision-making and ultimately, better crop yields. In this paper, we will explore how MRS methods have been successfully utilised in crop monitoring and how the data obtained from these methods can provide valuable insights into the health and development of plants. © 2023 The Authors
DCCGAN based intrusion detection for detecting security threats in IoT
- Authors: Cyriac, Robin , Balasubaramanian, Sundaravadivazhagn , Balamurugan, Venkatachalam , Karthikeyan, R.
- Date: 2024
- Type: Text , Journal article
- Relation: International Journal of Bio-Inspired Computation Vol. 23, no. 2 (2024), p. 111-124
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- Description: Internet of things (IoT) consists of wired/wireless network, sensor, and actuator, where security is more important when more devices are connected to IoT. To increase more security in IoT devices, this manuscript proposes a dual-channel capsule generation adversarial network (DCCGAN) espoused intrusion detection scheme for detecting security threats in IoT network (DCCGAN-IDF-DST-IoT). Data are collected from MQTT-IoT-IDS2020 dataset and Bot-IoT dataset. Then, the data are fed to local least squares, which eradicate the redundancy and replace the missing value. The pre-processed dataset is supplied to fertile field optimisation algorithm (FFOA), which selects the relevant features. Then DCCGAN is used for classifying the data as normal or anomalous. The proposed technique is activated in Python language. The performance of proposed technique for MQTT-IoT-IDS2020 dataset attains 16.55%, 21.37%, 32.99%, 27.66%, 26.45%, 21.47% and 22.86% higher accuracy compared with the existing methods. Copyright © 2024 Inderscience Enterprises Ltd.
Description and assessment of a new high resolution erosion model for constructed landforms
- Authors: Yavari, Shahla , McIntyre, Neil , Shao, Qi , Baumgartl, Thomas
- Date: 2024
- Type: Text , Journal article
- Relation: Environmental Modelling and Software Vol. 172, no. (2024), p.
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- Description: Literature review reveals that many erosion models have limitations for application to constructed landforms. The new EroCA model aims to address this gap. The model uses established erosion and sediment transport models applied to multiple particle size classes at fine spatial and temporal resolutions, covering both suspended load and bedload. Using data from an experimental plot in Northern Australia, global sensitivity analysis was used to investigate the sources of uncertainty, limitations of the model, and priorities for data collection. Further analysis explored sensitivity to model grid size. The results showed that the Manning roughness, erodibility parameters and particle size are the most important parameters. Results also showed low parameter identifiability and hence the difficulty of calibration, even when using high quality experimental data. EroCA has the capacity to be a powerful landform modelling tool at appropriate scales of application; however ideally its data needs would be considered during monitoring design. © 2023 The Authors
Detection of anomalies and explanation in cybersecurity
- Authors: Samariya, Durgesh , Ma, Jiangang , Aryal, Sunil , Zhao, Xiaohui
- Date: 2024
- Type: Text , Conference paper
- Relation: 30th International Conference on Neural Information Processing, ICONIP 2023, Changsha, 20-23 November 2023, Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XIII Vol. 1967 CCIS, p. 414-426
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- Description: Histogram-based anomaly detectors have gained significant attention and application in the field of intrusion detection because of their high efficiency in identifying anomalous patterns. However, they fail to explain why a given data point is flagged as an anomaly. Outlying Aspect Mining (OAM) aims to detect aspects (a.k.a subspaces) where a given anomaly significantly differs from others. In this paper, we have proposed a simple but effective and efficient histogram-based solution - HMass. In addition to detecting anomalies, HMass provides explanations on why the points are anomalous. The effectiveness and efficiency of HMass are evaluated using comparative analysis on seven cyber security datasets, covering the tasks of anomaly detection and outlying aspect mining. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.