ORCID Profile
0000-0002-7315-5754
Current Organisations
Federation University Australia
,
RMIT University
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Publisher: Wiley
Date: 24-10-2011
Publisher: Victoria University of Wellington Library
Date: 30-12-2018
Abstract: This review examines major changes in the early childhood sector during the National-led government from 2008 to 2017, with discussion of the possible future under the new Labour-led government. The changing pattern of provision and access to quality early childhood services for families is critiqued, along with changes in funding models, qualifications, and professional development. The revision of Te Whāriki is examined, together with tensions between the revised curriculum and the early childhood centre regulations. Specific issues such as regulatory changes around group size and licences and choices for families are explored. This review concludes with an examination of the potential of the new strategic plan, highlighting the tensions within the terms of reference and consideration of directions for research that may help inform the vision for policy and practice laid out in the strategic plan.
Publisher: IEEE
Date: 06-2015
Publisher: Springer Science and Business Media LLC
Date: 05-09-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2017
Publisher: Elsevier BV
Date: 03-2023
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 04-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: MDPI AG
Date: 11-02-2023
DOI: 10.3390/EN16041792
Abstract: Energy consumption is increasing rapidly hence, the energy demand cannot be fulfilled using traditional power resources only. Power systems based on renewable energy, including solar and wind, are effective and friendly for the environment. Islanded hybrid microgrid systems (IHMS) are relatively new in this industry and combine two or more sustainable sources, such as wind turbines, solar photovoltaic (PV), and other renewable alternatives, ocean, wave, and geothermal energy, etc. While sustainable, long-lasting power sources are the best choice to satisfy the growing energy demands, they are still not yet ready to be used on a large scale due to their stochastic characteristics. Furthermore, integrating these sources into the existing energy system can cause high technical difficulties, due to the stochastic nature of solar and wind in the conventional grid system and common stand-alone framework. A review of research and applications of the effective hybridization of renewable energy sources is therefore essential to address those technical and economic issues and ensure system stability, reliability, and cost-effectiveness. This article discusses the challenges that might arise when a PV plant and a wind power station are combined to produce power for the conventional main grid or in a stand-alone system. In addition, this analysis provides light on optimization approaches for improving power quality and cost-effectiveness in a solar and wind integrated IHMS. Voltage fluctuation, frequency deviation, and the uncertain nature of solar irradiation and wind sources are significant challenges for both grid-connected and standalone hybrid systems. This study then provides an overview of the control strategies which might help enhance the integration of the IHMS in producing electricity for distribution to the grid-connected load and the islanded load. In this study, the possible issues that can hinder the smooth integration of these renewable sources have been discussed. Finally, this study discusses the recent platforms being used in IHMS as well as the potential of dispatch strategies on solar and wind-integrated IHMS.
Publisher: MDPI AG
Date: 11-04-2022
DOI: 10.3390/MATH10081267
Abstract: It is increasingly difficult to identify complex cyberattacks in a wide range of industries, such as the Internet of Vehicles (IoV). The IoV is a network of vehicles that consists of sensors, actuators, network layers, and communication systems between vehicles. Communication plays an important role as an essential part of the IoV. Vehicles in a network share and deliver information based on several protocols. Due to wireless communication between vehicles, the whole network can be sensitive towards cyber-attacks.In these attacks, sensitive information can be shared with a malicious network or a bogus user, resulting in malicious attacks on the IoV. For the last few years, detecting attacks in the IoV has been a challenging task. It is becoming increasingly difficult for traditional Intrusion Detection Systems (IDS) to detect these newer, more sophisticated attacks, which employ unusual patterns. Attackers disguise themselves as typical users to evade detection. These problems can be solved using deep learning. Many machine-learning and deep-learning (DL) models have been implemented to detect malicious attacks however, feature selection remains a core issue. Through the use of training empirical data, DL independently defines intrusion features. We built a DL-based intrusion model that focuses on Denial of Service (DoS) assaults in particular. We used K-Means clustering for feature scoring and ranking. After extracting the best features for anomaly detection, we applied a novel model, i.e., an Explainable Neural Network (xNN), to classify attacks in the CICIDS2019 dataset and UNSW-NB15 dataset separately. The model performed well regarding the precision, recall, F1 score, and accuracy. Comparatively, it can be seen that our proposed model xNN performed well after the feature-scoring technique. In dataset 1 (UNSW-NB15), xNN performed well, with the highest accuracy of 99.7%, while CNN scored 87%, LSTM scored 90%, and the Deep Neural Network (DNN) scored 92%. xNN achieved the highest accuracy of 99.3% while classifying attacks in the second dataset (CICIDS2019) the Convolutional Neural Network (CNN) achieved 87%, Long Short-Term Memory (LSTM) achieved 89%, and the DNN achieved 82%. The suggested solution outperformed the existing systems in terms of the detection and classification accuracy.
Publisher: Cambridge University Press
Date: 22-03-2010
Abstract: Early Childhood Curriculum addresses current approaches to curriculum for infants, toddlers and young children, ages birth to eight. It provides a comprehensive introduction to the curriculum issues that student teachers and emerging practitioners will face and equips them with the decision-making tools that will ultimately enhance and promote young children's learning. The text proposes a cultural historical framework to explore erse approaches to early years education, drawing on research and ex les of practice across a range of international contexts. It offers a clear focus on domain areas of the curriculum - the arts, health and wellbeing, literacy and language, science and maths, and information and communication technology - so that teachers are able to gain a breadth of understanding and effectively plan, design and implement curriculum strategy.
Publisher: Elsevier BV
Date: 03-2019
Publisher: IEEE
Date: 11-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: Routledge
Date: 12-01-2018
Publisher: IEEE
Date: 07-2011
Publisher: MDPI AG
Date: 02-11-2021
DOI: 10.3390/EN14217217
Abstract: The power system responsiveness may be improved by determining the ideal size of each component and performing a reliability analysis. This study evaluated the design and optimization of an islanded hybrid microgrid system with multiple dispatch algorithms. As the penetration of renewable power increases in microgrids, the importance and influence of efficient design and operation of islanded hybrid microgrids grow. The Kangaroo Island in South Australia served as the study’s test microgrid. The sizing of the Kangaroo Island hybrid microgrid system, which includes solar PV, wind, a diesel engine, and battery storage, was adjusted for four dispatch schemes. In this study, the following dispatch strategies were used: (i) load following, (ii) cycle charging, (iii) generator order, and (iv) combination dispatch. The CO2 emissions, net present cost (NPC), and energy cost of the islanded microgrid were all optimized (COE). The HOMER microgrid software platform was used to build all four dispatch algorithms, and DIgSILENT PowerFactory was used to analyze the power system’s responsiveness and dependability. The findings give a framework for estimating the generation mix and required resources for an islanded microgrid’s optimal functioning under various dispatch scenarios. According to the simulation results, load following is the optimum dispatch technique for an islanded hybrid microgrid that achieves the lowest cost of energy (COE) and net present cost (NPC).
Publisher: IEEE
Date: 2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Publisher: Institution of Engineering and Technology (IET)
Date: 2012
Publisher: Informa UK Limited
Date: 1990
Publisher: Springer Science and Business Media LLC
Date: 18-04-2018
Publisher: IEEE
Date: 09-2008
Publisher: IEEE
Date: 07-2011
Publisher: Elsevier BV
Date: 2014
Publisher: Informa UK Limited
Date: 1990
Publisher: Informa UK Limited
Date: 1990
Publisher: Palgrave Macmillan US
Date: 2013
Publisher: Elsevier BV
Date: 07-2014
Publisher: IEEE
Date: 06-2018
Publisher: Springer Science and Business Media LLC
Date: 21-06-2017
Publisher: MDPI AG
Date: 20-04-2021
DOI: 10.3390/EN14082328
Abstract: This paper presents a comparative analysis of six s ling techniques to identify an efficient and accurate s ling technique to be applied to probabilistic voltage stability assessment in large-scale power systems. In this study, six different s ling techniques are investigated and compared to each other in terms of their accuracy and efficiency, including Monte Carlo (MC), three versions of Quasi-Monte Carlo (QMC), i.e., Sobol, Halton, and Latin Hypercube, Markov Chain MC (MCMC), and importance s ling (IS) technique, to evaluate their suitability for application with probabilistic voltage stability analysis in large-scale uncertain power systems. The coefficient of determination (R2) and root mean square error (RMSE) are calculated to measure the accuracy and the efficiency of the s ling techniques compared to each other. All the six s ling techniques provide more than 99% accuracy by producing a large number of wind speed random s les (8760 s les). In terms of efficiency, on the other hand, the three versions of QMC are the most efficient s ling techniques, providing more than 96% accuracy with only a small number of generated s les (150 s les) compared to other techniques.
Publisher: Informa UK Limited
Date: 1990
Publisher: Informa UK Limited
Date: 1990
Publisher: Springer Science and Business Media LLC
Date: 09-08-2013
Publisher: IEEE
Date: 10-2018
Publisher: MDPI AG
Date: 24-05-2021
Abstract: The objective of this study was to examine the effect of a 10-week physical activity (PA) programme, in early childhood education (ECE) settings, on 3 and 4-year-old children’s fundamental movement skills (FMS). A further aim was to examine FMS three-months post-intervention. The PA instructors delivered one 45 min session/week over 10 weeks, to 3- and 4-year-old children (n = 46), across four ECE centres. These sessions involved participation from ECE teachers. Children in the control group (CON n = 20) received no PA classes and completed pre- and post-intervention assessments only. Locomotor (e.g., running/hopping) and object-control (e.g., kicking/throwing) skills were assessed using the Test for Gross Motor Development-2 (TGMD-2), before and after the intervention and, for the intervention group (EXP), at 3 months. Locomotor and object-control skills significantly improved in the EXP group, with typically no change in the CON group. The EXP group’s locomotor and object-control skills were maintained at 3 months. The 10-week PA intervention successfully improved 3- and 4-year-old children’s FMS.
Publisher: MDPI AG
Date: 22-12-2022
DOI: 10.3390/EN16010112
Abstract: In pursuit of identifying the most accurate and efficient uncertainty modelling (UM) techniques, this paper provides an extensive review and classification of the available UM techniques for probabilistic power system stability analysis. The increased penetration of system uncertainties related to renewable energy sources, new types of loads and their fluctuations, and deregulation of the electricity markets necessitates probabilistic power system analysis. The abovementioned factors significantly affect the power system stability, which requires computationally intensive simulation, including frequency, voltage, transient, and small disturbance stability. Altogether 40 UM techniques are collated with their characteristics, advantages, disadvantages, and application areas, particularly highlighting their accuracy and efficiency (as both are crucial for power system stability applications). This review recommends the most accurate and efficient UM techniques that could be used for probabilistic stability analysis of renewable-rich power systems.
Publisher: IEEE
Date: 08-2018
Publisher: IEEE
Date: 10-2018
Publisher: IEEE
Date: 10-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2018
Publisher: Cambridge University Press
Date: 04-10-2012
Abstract: Literacy in Early Childhood and Primary Education provides a comprehensive introduction to literacy teaching and learning. The book explores the continuum of literacy learning and children's transitions from early childhood settings to junior primary classrooms and then to senior primary and beyond. Reader-friendly and accessible, this book equips pre-service teachers with the theoretical underpinnings and practical strategies to teach literacy. It places the 'reading wars' firmly in the past as it examines contemporary research and practices. The book covers important topics such as assessment, multiliteracies, reading difficulties and erse classrooms. Each chapter includes learning objectives, reflective questions and definitions of key terms to engage and assist readers. Written by an expert author team and featuring real-world ex les from literacy teachers and learners, the book will help pre-service teachers feel confident teaching literacy to erse age groups and abilities.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Publisher: IEEE
Date: 07-2012
Publisher: MDPI AG
Date: 27-08-2021
Abstract: We sought to describe and explore relationships between fundamental movement skills (FMS) and level of physical activity (PA light-, medium-, vigorous, and kCal/hour) in preschool children, aged 3–4-years-old, across four early childhood education (ECE) settings. Children’s FMS were assessed using the Test for Gross Motor Development-2 (TGMD-2 n = 81) and PA via accelerometers (S = 53). Eighty-four children participated, with 50 in both assessments. The TGMD-2 showed as the children got older, their locomotor skills (p 0.001, r = 0.512) and object control motor skills (p 0.001, r = 0.383) improved. Accelerometry showed children were primarily inactive at ECE (78.3% of the time). There were significant correlations between kCal/hour and light (p 0.001, r = −0.688), moderate (p 0.001, r = 0.599) and vigorous (p 0.001, rs = 0.707) activity, and between gross motor quotient and locomotor (p 0.001, r = 0.798) and object control (p 0.001, r = 0.367) skills. No correlation was observed between gross motor quotient and kCal/hour. To conclude, children in this cohort were primarily inactive during ECE center hours. Moreover, gross motor quotient was significantly correlated to locomotor and object control skills.
Publisher: Informa UK Limited
Date: 2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 22-05-2018
Publisher: MDPI AG
Date: 25-05-2021
DOI: 10.3390/EN14113059
Abstract: As the integration of large-scale wind energy is increasing into the electricity grids, the role of wind energy suppliers should be investigated as a price-maker as their participation would influence the locational marginal price (LMP) of electricity. The existing bidding strategies for a wind energy supplier faces limitations with respect to the potential cooperation, other competitors’ bidding behavior, network loss, and uncertainty of wind production (WP) and balancing market price (BMP). Hence, to solve these problems, a novel bidding strategy (BS) for a wind power supplier as a price-maker has been proposed in this paper. The new algorithm, called the evolutionary game approach (EGA) inspired hybrid particle swarm optimization and improved firefly algorithm (HPSOIFA), has been proposed to handle the bidding issue. The bidding behavior of power suppliers, including conventional power suppliers, has been encoded as one species to obtain the equilibrium where the EGA can explore dynamically reasonable behavior changes of the opponents. Each species of behavior change has been exploited by the HPSOIFA to improve the optimization solutions. Moreover, a deep learning algorithm, namely deep belief network, has been implemented for improving the accuracy of the forecasting results considering the WP and BMP, and the uncertainty revealed in the WP and BMP has been modeled by quantile regression (QR). Finally, the Shapley value (SV) has been calculated to estimate the benefits of cooperative power suppliers. The presented case studies have verified that the proposed algorithm and the established bidding strategy exhibit higher effectiveness.
Publisher: Elsevier BV
Date: 02-2013
Publisher: IEEE
Date: 07-2016
Publisher: IEEE
Date: 11-2008
Publisher: Informa UK Limited
Date: 07-02-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
No related grants have been discovered for Kazi Nazmul Hasan.