• Homomorphic encryption-based resilient distributed energy management under cyber-attack of micro-grid with event-triggered mechanism 

  Zhang, Huifeng; Yu, Chengqian; Zeng, Meilian; Ye, Tao; Yue, Dong; Dou, Chunxia; Xie, Xiangpeng; Hancke, Gerhard P. (Institute of Electrical and Electronics Engineers, 2024-09)

  Privacy disclosures and malevolent data intrusions targeting adversarial agents pose significant menaces to cyber-physical systems, a reality that extends to the intricate realm of micro-grid energy management. This paper ...
• A dynamic coordination of microgrids 

  Mbungu, Nsilulu T.; Siti, Mukwangu M.; Bansal, Ramesh C.; Naidoo, Raj; Elnady, A.; Ismail, Ali A. Adam; Abokhali, Ahmed G.; Hamid, Abdul-Kadir (Elsevier, 2025-01)

  Sustainable energy resource implementation has several advantages in terms of energy efficiency, reliability, and resilience. However, there are still challenges with the power quality in suitable energy balance and ...
• State-of-the-art review on energy sharing and trading of resilient multi microgrids 

  Kumar, Abhishek; Singh, Arvind R.; Raghav, L. Phani; Deng, Yan; He, Xiangning; Bansal, Ramesh C.; Kumar, Praveen; Naidoo, Raj (Elsevier, 2024-04)

  Independently run single microgrids (MGs) encounter difficulties with inadequate self-consumption of local renewable energy and frequent power exchange with the grid. Combining numerous MGs to form a multi-microgrid (MMG) ...
• Natural gas well production network state-space model development and validation for process control 

  Dzedzemane, Rudzani; Wiid, Andries Johannes; Le Roux, Johan Derik; Craig, Ian Keith (American Chemical Society, 2024-01)

  A transient state-space nonlinear model is developed for a natural gas system fed from multiple gas wellheads. The dynamic models are developed by making use of the spectral element method for pipeline spatial discretization. ...
• A survey on NB-IoT random access : approaches for uplink radio access network congestion management 

  Iiyambo, Loini; Hancke, Gerhard P.; Abu-Mahfouz, Adnan Mohammed (Institute of Electrical and Electronics Engineers Inc., 2024-06)

  Narrowband Internet of Things (NB-IoT) is one of the most promising technologies for enabling reliable communication among low-power, and low cost devices present in massive machine-type communications (mMTC). In NB-IoT, ...
• Efficient microservice deployment in the edge-cloud networks with policy-gradient reinforcement learning 

  Afachao, Kevin; Abu-Mahfouz, Adnan Mohammed; Hanke, Gerhard P. (Institute of Electrical and Electronics Engineers Inc., 2024-09)

  The rise of user-centric design demands ubiquitous access to infrastructure and applications, facilitated by the Edge-Cloud network and microservices. However, efficiently managing resource allocation while orchestrating ...
• Recursive learning based smart energy management with two-Level dynamic pricing demand response 

  Zhang, Huifeng; Huang, Jiapeng; Yue, Dong; Xie, Xiangpeng; Zhang, Zhijun; Hancke, Gerhard P. (Institute of Electrical and Electronics Engineers, 2024)

  Due to dynamic characteristic of demand response and stochastic nature of power generation, it brings great challenge to smart energy management. In this paper, a demand response model is created with two-level dynamic ...
• Specific emitter identification with different transmission codes and multiple receivers 

  Diedericks, Lodewicus Johannes; Du Plessis, W.P. (Warren Paul) (Institute of Electrical and Electronics Engineers, 2024)

  A specific emitter identification (SEI) system that expands previously-published results by identifying remote keyless-entry (RKE) remotes with an accuracy of over 95% even when different digital transmission codes are ...
• The effect of temperature variation on the transient response of RF PIN diode limiters for very high frequency applications 

  Botha, Cornelius Johannes; Stander, Tinus (Wiley, 2024)

  This work presents the effect of temperature change on the capacitance of silicon PIN diodes and the resulting change in performance of RF limiters at very high frequency (VHF). Device temperatures were varied between −25 ...
• Hybrid metaheuristic schemes with different configurations and feedback mechanisms for optimal clustering applications 

  Molokomme, Daisy Nkele; Onumanyi, Adeiza James; Abu-Mahfouz, Adnan Mohammed (Springer, 2024-10)

  This paper addresses the critical gap in the understanding of the effects of various configurations and feedback mechanisms on the performance of hybrid metaheuristics (HMs) in unsupervised clustering applications. Despite ...
• An intelligent IoT-based home automation for optimization of electricity use 

  Francis, Antony; Madhusudhanan, Sheema; Jose, Arun Cyril; Malekian, Reza (Wydawnictwo SIGMA, 2023)

  The world is gearing towards renewable energy sources, due to the numerous negative repercussions of fossil fuels. There is a need to increase the efficiency of power generation, transmission, distribution, and use. The ...
• Parameterisation and prediction of intra‑canal cochlear structures 

  Thiselton, Joshua; Hanekom, Tania (Springer, 2024-03)

  Accurate 3D models of the cochlea are useful tools for research in the relationship between the electrode array and nerve fbres. The internal geometry of the cochlear canal plays an important role in understanding and ...
• Modelling, analysis and validation of a dynamic dense medium separation circuit model for detecting medium losses 

  Lowry, Claire Sarah; Le Roux, Johan Derik; Craig, Ian Keith (Elsevier, 2024-05)

  Dense medium separation circuits use a dense medium to separate low density waste material from high density valuable minerals. Since the dense medium is an expensive consumable, it is recovered after separation of the ...
• Nonfragile high-gain observers for nonlinear systems with output uncertainty 

  Zhou, Fan; Shen, Yanjun; Xia, Xiaohua (Wiley, 2024-03)

  In this paper, we present the definitions of nonfragile high-gain observers and design method for lower-triangular nonlinear systems with output uncertainty. Radial basis function neural networks (RBFNNs) are used to ...
• Markov decision process based energy aware MAC protocol for IoT WBAN systems 

  Olatinwo, Damilola D.; Abu-Mahfouz, Adnan Mohammed; Hancke, Gerhard P.; Myburgh, Hermanus Carel (Institute of Electrical and Electronics Engineers, 2024)

  Internet of Things (IoT) enabled WBAN systems play a crucial role in healthcare monitoring, enhancing patients’ well-being at an affordable cost. However, their primary challenge lies in energy constraints. To optimize the ...
• Maximum power extraction in partial shaded grid-connected PV system using hybrid fuzzy logic/neural network-based variable step size MPPT 

  Kouser, Sanam; Dheep, G. Raam; Bansal, Ramesh C. (Springer, 2023-02)

  The photovoltaic (PV) system’s output power varies owing to solar radiation’s irregularity, which confines their usage for various applications. Implementation of maximum power tracking (MPT) algorithms increases the ...
• Enhancing educational technology in lectures for school students with learning disabilities : a comprehensive analysis 

  Adjiovski, Benjamin; Bogatinoska, Dijana Capeska; Ismajloska, Mersiha; Malekian, Reza (Springer, 2024-07)

  Learning disabilities present formidable obstacles for children in their educational journeys, often overlooked or misunderstood. This research aims to address two critical issues: the differentiation between learning and ...
• RSSI-based fingerprint localization in LoRaWAN networks using CNNs with squeeze and excitation blocks 

  Lutakamale, Albert Selebea; Myburgh, Herman C.; De Freitas, Allan (Elsevier, 2024-06-01)

  The ability to offer long-range, high scalability, sustainability, and low-power wireless communication, are the key factors driving the rapid adoption of the LoRaWAN technology in large-scale Internet of Things applications. ...
• Unpacking the terminology used in human cochlear dimension methodologies 

  Human-Baron, Rene; Hanekom, Tania (Elsevier, 2024)

  Many definitions of the dimensions of cochlear measurements are described in the literature. However, these terminologies are typically not standardised or vary among disciplines. Confusion of the defined parameters may ...
• Event-trigger-based resilient distributed energy management against FDI and DoS attack of cyber-physical system of smart grid 

  Zhang, Huifeng; Chen, Zhuxiang; Yu, Chengqian; Yue, Dong; Xie, Xiangpeng; Hancke, Gerhard P. (Institute of Electrical and Electronics Engineers, 2024-05)

  To address the false data injection (FDI) and denial of service (DoS) attack, this article proposes an event-trigger-based resilient distributed energy management approach for cyber–physical system of smart grid. Here, an ...

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