Vikas Tyagi^1,*, Mrinmoy Kayal¹, Arvind Prasad^2,*, Gauhar Ali³, Sajid Shah³, Muhammad Asim³

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.085763 - 15 September 2026

Abstract Healthcare systems based on the Internet of Things (IoT) are widely used in patient monitoring, telemedicine, emergency care, and hospital-at-home services. However, existing IoT healthcare networks still face major challenges related to security, trust management, network control, and real-time emergency data handling. Centralized trust mechanisms and repeated cloud-based verification may increase delay and reduce reliability in critical healthcare scenarios. Moreover, suspicious medical devices must be quickly isolated, while sensitive patient data and emergency traffic must be protected and prioritized. To address these issues, this work proposes a blockchain-enabled, software-defined networking (SDN)-based edge computing framework for… More >

Gen Xu^*, Li Lv, Jiayan Dong

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.081338 - 13 August 2026

Abstract Memory-unsafe languages such as C and C++ remain widely used because they provide low-level control and high performance, but they remain vulnerable to spatial and temporal memory-safety violations such as out-of-bounds accesses, buffer overflows, and use-after-free errors. Prior hardware-assisted defenses reduce software overhead, yet many still rely on CPU-side metadata checks that add latency to the critical path and often miss DMA-originated accesses. We show that metadata-access cost is not dominated solely by DRAM latency: a substantial portion of the delay comes from on-chip traversal and cache-related processing. Motivated by this result, we propose SerMC,… More >

AL-Wesabi Ibrahim¹, Hassan M. Hussein Farh^2,*, Jiazhu Xu^1,*, Mohamad A. Alawad², Ahmed Alqurashi³, Abdullrahman A. Al-Shamma’a²

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.081371 - 27 July 2026

Abstract Load frequency control (LFC) in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable energy sources and the impact of electric vehicles on the power system. Although various PI/PID and other advanced control strategies have been employed for LFC in power systems, the existing methods have shown some limitations in terms of dynamic flexibility and robustness in the presence of nonlinearities and couplings in the power systems. Moreover, the optimization methods employed for the tuning of… More >

Md. Liton Hossain^1,*, Md. Zahid Ansary², Jiefeng Hu¹, Syed Islam¹, Maaspaliza Azri³, Norezmi Md. Jamal⁴

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.079961 - 12 July 2026

Abstract Inverters play an essential and indispensable role in energy conversion within modern electrical power systems. Conventional two-level inverters (2LIs) have been widely adopted across industrial applications due to their simple structure and mature control strategies. However, 2LIs exhibit several limitations when interfacing with utility-scale grid systems, including higher harmonic distortion, increased switching stress, and reduced efficiency in high-voltage and high-power operations. Multilevel Inverters (MLIs) have emerged as a transformative solution, enabling high-voltage and high-power applications with improved efficiency and significantly lower harmonic distortion compared to traditional two-level configurations. This review investigates the broad range of… More >

Ulysses Lam^1,*, Jin-Hee Cho², Hyuk Lim³, Terrence Moore⁴, Frederica Free-Nelson⁴, Hyunjae Kang¹, Dan Dongseong Kim¹

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.084062 - 30 June 2026

Abstract Autonomous vehicles are potentially more vulnerable to cyber-attacks compared to traditional human-driven ones, as they employ electronic sensors to enable self-driving. Cybersecurity for autonomous vehicles will be crucial in the near future. However, intrusion detection systems (IDSes) for vehicles are still in the early stages. Many IDS models that claim to work for vehicles are actually built with traditional Internet datasets rather than those with real vehicle data, which is impractical in reality. In this paper, IDS models are developed with Federated Learning (FL) with the Car-Hacking and CAN-MIRGU datasets, which are obtained from real More >

Hooi Hung Tang, Te Meng Ting, Nur Syazreen Ahmad^*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.080428 - 30 June 2026

Abstract In industrial and service robotics, autonomous mobile robots must achieve accurate trajectory tracking while maintaining low energy consumption to avoid frequent recharging and performance degradation. Energy efficiency is particularly critical because locomotion accounts for 45%–65% of total power consumption, directly limiting operational range and autonomy. This paper proposes an energy-aware trajectory tracking framework that optimizes a fractional-order proportional-integral-derivative (FOPID) controller using an Enhanced Whale Optimization Algorithm (E-WOA). The key contributions are threefold: (1) the E-WOA hybridizes Differential Evolution (DE)’s global exploration with WOA’s local exploitation to overcome premature convergence in high-dimensional FOPID parameter spaces; (2)… More >

Xiaoming Yu¹, Peng Wang¹, Jun Wang¹, Zhijun Chen¹, Ke Zhang¹, Duicheng Zhao², Jiapeng Shen², Chuyang Wang^2,*, Li Zhang²

Energy Engineering, Vol.123, No.6, 2026, DOI:10.32604/ee.2026.073475 - 27 May 2026

Abstract Electrolytic capacitors in Modular Multilevel Converter-based Unified Power Flow Controllers (MMC-UPFC) are prone to parameter degradation, significantly affecting system reliability. Accurate identification of their degradation parameters—capacitance (C) and equivalent series resistance (ESR)—is essential for equipment health management. This study proposes a non-intrusive degradation parameter identification method for electrolytic capacitors in MMC-UPFC full-bridge submodules based on digital twin technology and an improved intelligent optimization algorithm. First, the degradation mechanism of electrolytic capacitors under long-term operational conditions is systematically analyzed. Second, a high-fidelity digital twin model integrating the main circuit, sampling circuit, and modulation circuit of the… More >

Nourdine Aliane^*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.078545 - 09 April 2026

Abstract The rapid advancement of unmanned aerial vehicle (UAV) technologies has increased demand for flexible autopilot platforms suitable for both research and education. Among available options, the open-source Pixhawk/PX4 autopilot has emerged as a leading solution due to its modular architecture and robust software ecosystem. This survey examines the adoption of the Pixhawk/PX4 platform in research and education. The survey covers the analysis of the Pixhawk/PX4 autopilot software development APIs, its compatibility with ROS middleware and MATLAB/Simulink environments, and environments for software/hardware-in-the-loop simulations. Additionally, it explores the integration of Cutting-Edge technologies to enhance UAVs performance. By More >

Aws F. Hassan^*, Jamal A.-K. Mohammed, Walaa M. Hashim

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.075837 - 27 March 2026

Abstract The current study aims to improve the performance of the electrohydraulic servo system (EHSS) by increasing the volumetric efficiency of the pump and reducing electrical power consumption to a minimum value. An experimental setup has been designed and built to control the cylinder position using a programmable logic controller to provide the appropriate motor speed from the AC drive to control the velocity of the hydraulic actuator; the induction motor is driven by an AC drive using a tune proportional-integral-variable frequency drive (TPI-VFD) space vector modulation (SVM) hybrid technology. Theoretically, it was analyzed and simulated… More > Graphic Abstract

Abdin Abdin¹, Nicola Bianchi^1,*, Andrea Voltan², Walter Faedo², Piero Cazzavillan², Alessandro Biason²

Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2025.073434 - 27 February 2026

Abstract Synchronous reluctance motors (SynRM) are widely employed in industrial applications due to their high robustness, low cost, and absence of permanent magnets. In recent years, significant research efforts have focused on improving the controllability and efficiency of SynRM. Accurate rotor position information is essential for the controller to generate appropriate current and voltage references corresponding to the desired speed and load torque. Shaft-mounted position sensors are generally undesirable because of their high cost, sensitivity to harsh operating conditions, maintenance requirements, and reduced reliability in environments characterized by high vibration. Consequently, sensorless control techniques that estimate… More >