Micro-Grid Wind Energy Conversion Systems: Conventional and Modern Embedded Technologies - A Review by Mutiu AGBOOLA, K.A. HASSAN, T.O. AJEWOLE

“… This study assesses the effectiveness of an electric microgrid wind energy conversion system using both traditional techniques and contemporary embedded systems, such as artificial neural network-based control mechanisms and fuzzy logic control. …”
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Speed Control of Permanent Magnet Synchronous Motor Based on Variable Fractional-Order Fuzzy Sliding Mode Controller by Liping Chen, Haoyu Liu, Ze Cao, António M. Lopes, Lisheng Yin, Guoquan Liu, Yangquan Chen

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Methodical Approach to Selecting the Appropriate Distribution for Reliability Analysis: Automotive Application by Bella Naoufal, Salhi Nohaila, Lagrat Ismail

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A Game-Theoretic Approach for Run-Time Distributed Optimization on MP-SoC by Diego Puschini, Fabien Clermidy, Pascal Benoit, Gilles Sassatelli, Lionel Torres

“…With forecasted hundreds of processing elements (PEs), future embedded systems will be able to handle multiple applications with very diverse running constraints. …”
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Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs by Eun-Kyu Lee, Mario Gerla, Giovanni Pau, Uichin Lee, Jae-Han Lim

“…Recent advances in communications, controls, and embedded systems have changed the perception of a car. …”
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Global Multi-Phase Path Planning Through High-Level Reinforcement Learning by Babak Salamat, Sebastian-Sven Olzem, Gerhard Elsbacher, Andrea M. Tonello

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Advanced Facial Recognition Systems for Real-Time Embedded Applications by Guerbaoui Mohammed, Misbah Nouhaila, Selmani Abdelouahed, El Faiz Samira, Benhala Bachir, Ed-Dahhak Abdelali, Lachhab Abdeslam

“…This article explores several classical techniques of facial recognition, assessing their suitability for real-time embedded systems such as digital cameras. It also includes a thorough discussion on the training requirements for various facial recognition methods. …”
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Nonlinearity modeling for online estimation of industrial cooling fan speed subject to model uncertainties and state-dependent measurement noise by Peng Chao-Chung, Tsai Min-Che, Chen Tsai-Ying

“…This article presents an online speed estimation method for cooling fans in resource-limited embedded systems, considering modeling uncertainties and measurement noise. …”
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Adaptive Multiclient Network-on-Chip Memory Core: Hardware Architecture, Software Abstraction Layer, and Application Exploration by Diana Göhringer, Lukas Meder, Stephan Werner, Oliver Oey, Jürgen Becker, Michael Hübner

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ARM-Cortex M3-Based Two-Wheel Robot for Assessing Grid Cell Model of Medial Entorhinal Cortex: Progress towards Building Robots with Biologically Inspired Navigation-Cognitive Maps by J. Cuneo, L. Barboni, N. Blanco, M. del Castillo, J. Quagliotti

“…However, this type of computational embedded system (robot’s microcontroller) is found to be insufficient for simulating huge numbers of neurons in real time (as in the medial entorhinal cortex). …”
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Formal Verification Method for Configuration of Integrated Modular Avionics System Using MARTE by Lisong Wang, Miaofang Chen, Jun Hu

“…In this paper, we focus on modelling and verification of configuration information of IMA/ARINC653 system based on MARTE (Modelling and Analysis for Real-time and Embedded Systems). Firstly, we define semantic mapping from key concepts of configuration (such as modules, partitions, memory, process, and communications) to components of MARTE element and propose a method for model transformation between XML-formatted configuration information and MARTE models. …”
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A Security Scheme for Dependable Key Insertion in Mobile Embedded Devices by Alexander Klimm, Benjamin Glas, Matthias Wachs, Sebastian Vogel, Klaus D. Müller-Glaser, Jürgen Becker

“…This is particularly advantageous for embedded systems, such as FPGA platforms, with limited or none read-protected memory resources. …”
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Performance Evaluation of a Visual Defects Detection System for Railways Monitoring by Radosavljevic Saša, Rivero Alain, Rodríguez Flórez Sergio, El Ouardi Abdelhafid, Michel Pauline, Bouamama Belkacem O., Vanheeghe Philippe

“…Results show that small CNN (Yolov8 nano) can achieve similar (Yolov8 XL) high precision (mAP@0.5 ≥ 0.89) for a small number of objects (9) while improving implementation capability on embedded systems.…”
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Noncontact Palm Vein ROI Extraction Based on Improved Lightweight HRnet in Complex Backgrounds by Fen Dai, Ziyang Wang, Xiangqun Zou, Rongwen Zhang, Xiaoling Deng

“…To reduce the computation time and model size for ultimate deploying in low-cost embedded systems, this improved HRnet was designed to be lightweight by reconstructing the residual block structure and adopting depth-separable convolution, which greatly reduced the model size and improved the inference speed of network forward propagation. …”
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Model of an automated control system for the positioning of radio signal transmission/reception devices by Bohdan Boriak, Alina Yanko, Oleksandr Laktionov

“…The objective of this research is to develop automated antenna positioning systems using embedded systems. This article provides an example of the system's operation, where the controller performs antenna positioning tasks with high accuracy for directional antennas, such as Yagi–Uda antennas, ensuring that the azimuth position control error does not exceed 15 degrees. …”
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Designing an internet of things laboratory to improve student understanding of secure IoT systems by A. Ravishankar Rao, Angela Elias-Medina

“…We describe our design for an embedded systems course taught at the graduate level for engineering and computer science students. …”
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Computational and dynamic performance of NN-based control in wind energy systems by Belkasem Imodane, Kaoutar Dahmane, Brahim Bouachrine, Abdellah El idrissi, Mohamed Benydir, Mohamed Ajaamoum

“…This study provides an overview of the trade-offs between resource consumption and performance, offering a clearer understanding of control strategies for optimizing renewable energy management in embedded systems.…”
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Developing a TinyML Image Classifier in an Hour by Riccardo Berta, Ali Dabbous, Luca Lazzaroni, Danilo Pietro Pau, Francesco Bellotti

“…., accuracy) and embedded systems (e.g., memory footprint, latency, and energy consumption). …”
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Evaluation of Machine Learning Algorithms for NB-IoT Module Energy Consumption Estimation Based on Radio Channel Quality by Dusan Bortnik, Vladimir Nikic, Srdjan Sobot, Dejan Vukobratovic, Ivan Mezei, Milan Lukic

“…Using these features, we tested 11 machine learning models for energy consumption estimation, assessing their performance and memory footprint, both of which are critical factors for resource-constrained embedded systems. Our best models achieved up to 93.8% of fit with measured values, with memory footprints below 100 KB, some as low as 3 KB. …”
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Design of generic vedic ALU using reversible logic by Kanchan S. Tiwari

“…The proposed Generic low-power Vedic ALU using reversible logic opens up new opportunities for energy-efficient computing applications, such as portable devices, embedded systems, and Internet of Things (IoT) devices. …”
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