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2022 International Conference on Power Energy systems and Applications, ICoPESA 2022

作者： Zhai, Junyi Ni, Chenyixuan Nimmegeers, Philippe Jiang, Yuning City Energy Research Institute Suzhou China University of Birmingham Department of Electronic Electrical and Systems Engineering Birmingham United Kingdom University of Antwerp Faculty of Applied Engineering Department Enm Faculty of Business and Economics Antwerp Belgium École Polytechnique Fédérale de Lausanne Automatic Control Laboratory Lausanne Switzerland

ISBN: (纸本)9781665410977

This paper proposes a decentralized adjustable robust operation model achieving the coordinated operation between an active distribution network (ADN) and microgrids (MGs). Thanks to the autonomous characteristic and heterogeneity of the individual agents in ADNs with multi-MGs, we develop a tailored alternating direction method of multipliers (ADMM)based fully decentralized framework. The linear decision rules are utilized to reformulate the microgrid two-stage adjustable robust operation problem as a computationally tractable solution such that the proposed adjustable robust extension of decentralized ADMM is capable of handling renewable energy uncertainties. The numerical results illustrate the effectiveness of the proposed model. © 2022 IEEE.

关键词： Optimization

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Enhancing Precision Agriculture Through Human-in-the-Loop Planning and control

Enhancing Precision Agriculture Through Human-in-the-Loop Pl...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Shankar A. Deka Sujet Phodapol Andreu Matoses Gimenez Victor Nan Fernandez-Ayala Rufus Wong Pian Yu Xiao Tan Dimos V. Dimarogonas Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland Division of Decision and Control Systems School of EECS Royal Institute of Technology (KTH) Stockholm Sweden Department of Cognitive Robotics Faculty of Mechanical Engineering TU Delft Delft Netherlands Department of Computer Science University of Oxford Oxford UK

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

In this paper, we introduce a ROS based framework designed for the planning and control of robotic systems within the context of precision agriculture, with an emphasis on human-in-the-loop capabilities. Utilizing Linear Temporal Logic to articulate complex task specifications, our algorithm creates high-level robotic plans that are not only correct by design but also adaptable in real time by human operators. This dual-focus approach ensures that while humans have the flexibility to modify the high-level plan on-the-fly or even take over low-level control of the robots, the system inherently safeguards against any human actions that could potentially breach the predefined task specifications. We demonstrate our algorithm within the dynamic and challenging environment of a real vineyard, where the collaboration between human workers and robots is critical for tasks such as harvesting and pruning, and show the practical applicability and robustness of our software. This work marks a pioneering application of formal methods to complex, real-world agricultural environments.

关键词： Precision agriculture Heuristic algorithms Software algorithms Robustness Human in the loop Software Real-time systems Planning Robots Multi-agent systems

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Photoacoustic Sensing for Differentiating Breast Cancer Sizes – A Numerical Simulation Study

Photoacoustic Sensing for Differentiating Breast Cancer Size...

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Electronic engineering (ICEEM), International Conference on

作者： Mohammed Tarek GadAllah Abd El-Naser A. Mohamed Alaa A. Hefnawy Hassan E. Zidan Ghada M. El-Banby Samir Mohamed Badawy Computers and Systems Department Electronics Research Institute (ERI) Cairo El Nozha Egypt Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menoufia Egypt Industrial Electronics and Control Engineering Department Faculty of Electronic Engineering Menoufia University Menoufia Egypt

Photoacoustic (PA) sensing is a crossbred technique relying on light-produced ultrasonic signals due to a phenomenon called the PA effect. PA imaging (PAI), which is based originally on PA sensing, has been utilized efficiently in breast cancer identification and characterization over the last few years. In this paper, a numerical simulation study in silico has been applied, utilizing the COMSOL Multiphysics platform based on the Finite Element Method (FEM), for breast cancer sizes’ differentiating by PA sensing. A time-dependent study has been applied on COMSOL resulting in different measured PA signals from different tumor sizes measured at a constant measuring point on the surface of the simulated breast, showing the different shapes for each PA signal and its frequency spectrum for the different tumor sizes. Statistical analysis for some resulting simulated PA signals has been performed by the MATLAB software, deducing that the produced standard deviation values may be considered as a quantitative indication mark of the breast cancer’s size and hence its dangerous degree. In conclusion, the presented study has succeeded qualitatively and quantitatively in differentiating breast cancer tissue sizes in silico. This, in role, may help in giving more insights for in vitro and in vivo PA experiments for breast cancer characterization.

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An Energy-Aware RIoT System: Analysis, Modeling and Prediction in the SUPERIOT Framework

arXiv

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arXiv 2025年

作者： Bocus, Mohammud J. Häkkinen, Juha Fontes, Hélder Drzewiecki, Marcin Qiu, Senhui Eder, Kerstin Piechocki, Robert School of Computer Science University of Bristol Bristol United Kingdom Circuits and Systems Research Unit University of Oulu Oulu Finland MpicoSys Embedded Pico Systems Sp. z o. o. Gdynia Poland Faculty of Electrical and Control Engineering Gdańsk University of Technology Gdansk Poland INESC TEC Porto Portugal Faculty of Engineering University of Porto Porto Portugal

his paper presents a comprehensive analysis of the energy consumption characteristics of a Silicon (Si)-based Reconfigurable IoT (RIoT) node developed in the initial phase of the SUPERIOT project, focusing on key operating states, including Bluetooth Low Energy (BLE) communication, Narrow-Band Visible Light Communication (NBVLC), sensing, and E-ink display. Extensive measurements were conducted to establish a detailed energy profile, which serves as a benchmark for evaluating the effectiveness of subsequent optimizations and future node iterations. To minimize the energy consumption, multiple optimizations were implemented at both the software and hardware levels, achieving a reduction of over 60% in total energy usage through software modifications alone. Further improvements were realized by optimizing the E-ink display driving waveform and implementing a very low-power mode for non-communication activities. Based on the measured data, three measurement-based energy consumption models were developed to characterize the energy behavior of the node under: (i) normal, unoptimized operation, (ii) low-power, software-optimized operation, and (iii) very low-power, hardware-optimized operation. These models, validated with new measurement data, achieved an accuracy exceeding 97%, confirming their reliability for predicting energy consumption in diverse configurations. © 2025, CC BY.

关键词： Digital storage

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Dynamic Analysis and Circuit Design of a New 3D Highly Chaotic System and its Application to Pseudo Random Number Generator (PRNG) and Image Encryption

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SN Computer Science 2024年第4期5卷 420页

作者： Sambas, Aceng Benkouider, Khaled Kaçar, Sezgin Ceylan, Nurdoğan Vaidyanathan, Sundarapandian Sulaiman, Ibrahim Mohammed Mohamed, Mohamad Afendee Ayob, Ahmad Faisal Mohamad Muni, Sishu Shankar Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Campus Besut Terengganu Kuala 22200 Malaysia Department of Mechanical Engineering Universitas Muhamadiyah Tasikmalaya Tamansari Gobras Tasikmalaya 46196 Indonesia Department of Electronics Faculty of Technology Badji-Mokhtar University B.P. 12 Sidi Ammar Annaba 23000 Algeria Department of Electrical and Electronics Engineering Sakarya University of Applied Sciences Serdivan Sakarya 54050 Turkey Department of Mechanical Engineering Adıyaman University Merkez Adıyaman 02040 Turkey Centre for Control Systems Vel Tech University Tamil Nadu Chennai 600062 India School of Quantitative Science University Utara Malaysia Sintok Kedah Bukit Kayu Hitam 06010 Malaysia Faculty of Education and Arts Sohar University Sohar 311 Oman Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Gong Badak Terengganu Kuala Terengganu 21300 Malaysia Department of Physical Sciences Department of Physical Sciences Indian Institute of Science Education and Research Mohanpur Kolkata 741246 India

In this paper, a new 3D dynamical system with four quadratic nonlinear terms is presented. It is shown that the proposed chaotic system has two saddle-foci, unstable, equilibrium points. Thus, the proposed chaotic system exhibits self-excited chaotic attractors. Dynamical analysis methods such as Lyapunov exponents spectrum, bifurcation diagrams, and phase portraits are used to explore the complex dynamical behaviors of the proposed chaotic system and analyze its basic qualitative properties. It is shown that the maximal Lyapunov exponent (MLE) of the new chaotic system is 7.196, which is a high value. The proposed highly chaotic system exhibits high complexity and it will be very useful for applications in cryptography, encryption and secure communications. The physical feasibility of the proposed system is verified by implementing its electronic circuit schematic using Multisim software. Additionally, a PRNG has been developed using the derived state variables and analyze with NIST-800–22 test. Lastly, we developed a PRNG-based image encryption and employ it for an encryption. The experimental outcomes obtained prove that the 3D chaotic system-based encryption application presented in this section has a very good performance. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Chaos Image encryption Pseudo random number generator

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Estimating the AGV load and a battery lifetime based on the current measurement and random forest application

Estimating the AGV load and a battery lifetime based on the ...

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IEEE International Conference on Big Data

作者： Krzysztof Hanzel Damian Grzechca Adam Ziebinski Lukas Chruszczyk Artur Janus Department of Telecommunications and Teleinformatics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Electronics Electrical Engineering and Microelectronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Distributed Systems and Informatics Devices Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Student of Electrical Engineering Faculty of Electrical Engineering Silesian University of Technology Gliwice Poland

The paper describes the energy consumption from the battery based on the current measurements for various cases, i.e., speed (PWL adjustment) and loads. The main purpose of the research is to have additional and reliable information about power consumption and battery life estimation for autonomous guided vehicles (AGV). The authors propose a two-step algorithm. In the first step, a linear classifier was proposed. Then, the KNN classifier was tested; however, it did not give satisfactory results, so it was finally decided to use the random forest to estimate the load and PWL. The time domain current measurement is evaluated, and the beforementioned algorithms process the selected statistical measures. It has been proven that a two-step algorithm allows for achieving high accuracy. Based on the current observation, the paper is a good starting point for further investigation of the AGV because it is usually implemented in the AGV – so it does not require additional hardware. Moreover, it can lead to better energy management and increase battery lifetime.

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A wavelet - Fuzzy combination based approach for efficient cancer characterization in breast ultrasound images 2

A wavelet - Fuzzy combination based approach for efficient c...

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2nd IEEE International Conference on Electronic engineering, ICEEM 2021

作者： Badawy, Samir M. Zidan, Hassan E. Mohamed, Abd El-Naser A. Hefnawy, Alaa A. Gadallah, Mohammed T. El-Banby, Ghada M. Menoufia University Faculty of Electronic Engineering Industrial Electronics and Control Engineering Department Menouf Menoufia Egypt El Nozha Computers and Systems Department Cairo Egypt Menoufia University Faculty of Electronic Engineering Electronics and Electrical Communications Engineering Department Menouf Menoufia Egypt

ISBN: (纸本)9781665418423

Breast ultrasound (BUS) images are commonly influenced by speckle noise as a result of the phenomenon. Most types of speckle noise are a multiplicative one. Speckle removing while preserving image's edges and image's contrast is a challenge. More researches have been done throw the literature trying to fix a development at this point. Here, a modest scheme based on combining wavelet denoising and intuitionistic fuzzy enhancement has been proposed. Also, double thresholding image segmentation followed by some morphological operations were applied after the proposed approach. The proposed approach has been applied with a sonogram image of a breast having a benign cancer. Performance evaluation of the work has been achieved utilizing four quantitative metrics: mean square of error (MSE), peak signal to noise ratio (PSNR), structural similarity index measure (SSIM), and the quantitative metric of edges' conservation: Pratt's figure of merit (FOM). Also, the method has been applied by a BUS image with a malignant cancer and a gray scale phantom. The final quantitative as well as qualitative results confirmed that the introduced approach could achieve an efficient success into breast cancer characterization through BUS images' investigation, helping in better clinical diagnosis and more explicit detection for breast cancers. © 2021 IEEE.

关键词： Image segmentation

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Influence of the Inclination Angle on Mixed Convection and Heat Transfer in a“T”Shaped Double Enclosure

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Fluid Dynamics & Materials Processing 2023年第7期19卷 1753-1774页

作者： M’Barka Mourabit Meryam Meknassi Soukaina Fekkar Soumia Mordane Hicham Rouijaa El Alami Semma Polymer Physics and Critical Phenomena Laboratory Department of PhysicsFaculty of Sciences of Ben M’SikHassanⅡUniversityCasablancaMorocco Laboratory of Control and Mechanical Characterization of Materials and Structures National Higher School of Electricity and MechanicsHassanⅡUniversityCasablancaMorocco Laboratory of Electrical Systems and Telecommunications Department of Applied PhysicsFSTHassan 1^(st)UniversitySettatMorocco Laboratory of Engineering Industrial Management and Innovation FSTHassan 1^(st)UniversitySettatMorocco

The effect of the tilt angle on mixed convection and related heat transfer in a“T”shaped double enclosure with four heated obstacles on the bottom surface is numerically *** considered obstacles are constantly kept at a relatively high(fixed)temperature,while the cavity’s upper wall is *** finite volume approach is used to solve the mass,momentum,and energy equations with the SIMPLEC algorithm being exploited to deal with the pressure-velocity *** is put on the influence of the tilt angle on the solution symmetry,flow structure,and heat exchange through the *** following parameters and related ranges are considered:Rayleigh number 104≤Ra≤5.105,tilt angle 0°≤φ≤90°,Reynolds number 100≤Re≤1000,Prandtl number Pr=0.72,block height B=0.5,opening width C=0.15,and distance between blocks D=*** results reveal different branches of solutions on varying Re andφ.They also show that the symmetry of the solution regarding the P_(2)axis is retained for all cases with no tilt and for values of Re between 100 and 1000.

关键词： Mixed convection heat transfer inclination angle “T”shaped double cavity

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Data-Driven Adequacy and Security Assessment: Machine Learning Trends for Reliable Smart Energy Networks

Data-Driven Adequacy and Security Assessment: Machine Learni...

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Smart Grid Conference (SGC)

作者： Mohammad Mohsen Hayati Hassan Majidi Hossein Shahinzadeh Mehdi Abapour Mahmud Fotuhi-Firuzabad Gevork B. Gharehpetian Faculty of Electrical and Computer Engineering Energy Systems Research Institute (ESRI) University of Tabriz Tabriz Iran Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Center of Excellence in Power System Management and Control (CEPSMC) Sharif University of Technology Tehran Iran

ISBN: (数字)9798331511333

ISBN: (纸本)9798331511340

Smart energy networks (SENs) face numerous challenges related to security, reliability, operational uncertainties, and increasing penetration of renewable energies (REs), necessitating advanced methodologies for adequacy and security assessment. This study delves into the utilization of machine learning-driven approaches (MLDAs) to quantify reliability and gauge the dependability of future sustainable SENs. By autonomously acquiring knowledge from datasets, MLDAs offer swift and reliable evaluations, surpassing traditional methodologies. The integration of artificial intelligence (AI) in enhancing power system reliability is highlighted, emphasizing the importance of extensive datasets and evolving AI algorithms. Data-driven approaches empower energy network operators to proactively identify and mitigate security risks, enhancing the reliability of critical infrastructure systems. The research underscores the significance of constructing reliable databases, addressing challenges in real-time operations, and ensuring the performance and trustworthiness of machine learning (ML) algorithms. Overall, the study showcases the potential of ML techniques in revolutionizing reliability management and risk assessment in smart energy networks, paving the way for sustainable and reliable power systems.

关键词： Uncertainty Machine learning algorithms Databases Machine learning Power system reliability Smart grids Management Reliability Security Risk management

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Exploration of Bistable Oscillatory Dynamics in a Memristor from Forschungszentrum Jülich 12

Exploration of Bistable Oscillatory Dynamics in a Memristor ...

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12th International Conference on Modern circuits and systems Technologies, MOCAST 2023

作者： Schmitt, N. Ascoli, A. Messaris, I. Demirkol, A.S. Ntinas, V. Prousalis, D. Tetzlaff, R. Nikolaidis, S. Menzel, S. Rana, V. Technische Universität Dresden Institute of Circuits and Systems Faculty of Electrical and Computer Engineering Dresden Germany Aristotle University of Thessaloniki Department of Physics Thessaloniki Greece Peter Grünberg Institut 7 Forschungszentrum Jülich GmbH Jülich Germany Peter Grünberg Institut 10 Forschungszentrum Jülich GmbH Jülich Germany

ISBN: (纸本)9798350321074

Very recently, a deep numerical investigation of resistance switching phenomena in a TaOxReRAM cell from Forschungszentrum Jülich, based on a predictive physics-based model, uncovered the capability of the nano-device to exhibit one of two possible steady-state oscillatory behaviours, depending upon the initial condition, under specific AC periodic triangular wave stimuli. In these circumstances, however, one of the two oscillations in the device memory state, was found to hit cyclically the lower bound in the existence domain of the model solution. Out of a thorough numerical exploration of the model, guided by system-theoretic considerations based upon the Time Average State Dynamic Route tool, this paper shows that it is indeed possible to shape the parameters of an AC periodic pulse train excitation signal so that each of the two locally-stable oscillatory response solutions for the memory state of the ReRAM cell lie well within the range of admissible values. © 2023 IEEE.

关键词： RRAM

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