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2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023

作者： Singh, Amandeep Margaria, Tiziana Demrozi, Florenc University of Limerick Dep. of Computer Science and Information Systems Ireland University of Stavanger Dep. of Electrical Engineering and Computer Science Norway

ISBN: (纸本)9798350346473

Human Activity Recognition (HAR) is a research area that involves wearable devices integrating inertial and/or physiological sensors to classify human actions and status across various application domains, such as healthcare, sports, industry, and entertainment. However, executing HAR algorithms on remote devices or the cloud can lead to issues such as latency, bandwidth requirements, and energy consumption. Transitioning towards Edge HAR can be a more effective and versatile solution, overcoming the challenges of traditional HAR techniques. We present a novel HAR model for computation on edge devices: we design a Convolutional Neural Network (CNN) Deep Learning approach and compare its performance with cloud-computing HAR models. The paper is accompanied by a self-collected dataset. The experiments on this dataset demonstrate that the proposed edge computing model achieves promising results (\geq 92 %) in terms of Precision, Recall, and Fl-score. Furthermore, the model exhibits significantly reduced latency, with only 117 ms, and utilizes minimal memory, with a peak of 18.8 Kb RAM and 956 Kb Flash memory. © 2023 IEEE.

关键词： Edge computing

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CONTROL OF A QUADRUPLE TANK SYSTEM USING TWO PID CONTROLLERS 6

CONTROL OF A QUADRUPLE TANK SYSTEM USING TWO PID CONTROLLERS

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6th International Congress on Human-computer Interaction, Optimization and Robotic Applications, HORA 2024

作者： Mohammed, Aseel Assim Cansever, Galip Dep. Electrical and Computer Engineering Altinbas University Istanbul Turkey

ISBN: (纸本)9798350394634

This work details the mathematical modeling of a nonlinear multi-input multiple-output (MIMO) quadruple tank system (QTS) using the linearization principle and forming a Jacobean matrix to represent the system in a state space model. Using simulation tools in MATLAB software (Matlab /Simulink), a quadruple tank system is designed as well as a proportional-integral-derivative (PID) controller design to control the required liquid (water) level in the quadruple tank system (QTS).Initially, the parameters of the two PID controllers were tuned using a trial and error method, which involved setting the controller parameters manually, and the Automatically Tune the two PID controller method was then employed to tune the gain parameters of each PID controller. Finally, the genetic algorithm was used, which is a research and improvement method used to obtain the optimal values for the PID parameters. In addition, the effect of PID controllers on the steady-state response and transient response of a quadruple tank system was analysed. The results showed that using genetic algorithm-based optimization (GA) is easy to implement for both linear and nonlinear systems and that a response of a system with the presence of the PID controller, which was adjusted using a genetic algorithm (GA) with the size of population 50 and the ISE fitness function, shows the best response compared to other the classical PID controllers’ responses. © 2024 IEEE.

关键词： Three term control systems

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Assessment of Combined Cooling, Heating, and Power (CCHP) Systems for Energy Efficiency in Administrative Buildings in Hot and Dry Climate 28

Assessment of Combined Cooling, Heating, and Power (CCHP) Sy...

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28th International electrical Power Distribution Conference, EPDC 2024

作者： Zeynali, Shahrzad Nazififard, Mohammad Hashemi-Dezaki, Hamed University of Kashan Dep. of Energy Systems Engineering Kashan Iran University of Kashan Dep. of Electrical and Computer Engineering Kashan Iran

ISBN: (纸本)9798350385502

Combined cooling, heating, and power (CCHP) systems have garnered significant attention as a cost-effective solution for reducing energy consumption in buildings due to their ability to provide higher thermal efficiency compared to single power generation systems. This study focuses on modeling and evaluating the energy consumption of an administrative building within the University of Kashan, alongside the output values of a nearby CCHP power plant. The consumption values of the university's central administrative building have been obtained using available measuring devices. Also, the validity of the modeling results has been assessed using Design-Builder software. Additionally, the study investigates the role of the CCHP system in the building in terms of energy production and consumption by comparing the building's consumption with the production of CCHP electricity and heat. The simulation results indicate that the total annual energy consumption of the office building is 182.67 kWh/m2, while the values recorded by the engine room measuring devices show 199.75 kWh/m{2}. This suggests a potential discrepancy between the simulated and measured values, with the simulated value being approximately ten percent lower than the measured value. Possible factors contributing to this variance include discrepancies in people's activity models used in the simulation software and the actual consumption behavior patterns. Furthermore, the study highlights that the 1 MW CCHP system can meet the thermal and electrical needs of a 3-story administrative building, such as the central administrative building of the University of Kashan, while also being able to supply excess electrical energy to the grid. This underscores the potential of CCHP systems in effectively addressing energy demands in buildings. © 2024 IEEE.

关键词： Office buildings

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A Review of Grid-Connected Inverters and Control Methods Under Unbalanced Grid Conditions 16

A Review of Grid-Connected Inverters and Control Methods Und...

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16th Annual Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2025

作者： Marangalu, Milad Ghavipanjeh Rehman, Fazal Ur Kurkdjian, Naser Vosoughi Computer Queen's University Dep. Of Electrical and Computer Engineering KingstonON Canada University of L'Aquila Dep. Information Engineering Computer Science and Mathematics L'Aquila Italy San Diego State University Faculty of Electrical and Computer Engineering San DiegoCA92182-0001 United States

ISBN: (纸本)9798331533946

Grid-connected inverters play a pivotal role in integrating renewable energy sources into modern power systems. However, the presence of unbalanced grid conditions poses significant challenges to the stable operation of these inverters. This review paper provides a comprehensive overview of grid-connected inverters and control methods tailored to address unbalanced grid conditions. Beginning with an introduction to the fundamentals of grid-connected inverters, the paper elucidates the impact of unbalanced grid voltages on their performance. Various control strategies, including voltage and current control methods, are examined in detail, highlighting their strengths and limitations in mitigating the effects of grid imbalance. Lastly, the review identifies emerging trends and future research directions in the field, emphasizing the need for innovative solutions to address the evolving challenges posed by unbalanced grid conditions in the context of renewable energy integration. © 2025 IEEE.

关键词： control strategy fault conditions grid-connected inverters Photovoltaic systems

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Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees 38

Spectral-Risk Safe Reinforcement Learning with Convergence G...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Kim, Dohyeong Cho, Taehyun Han, Seungyub Chung, Hojun Lee, Kyungjae Oh, Songhwai Dep. of Electrical and Computer Engineering Seoul National University Korea Republic of Dep. of Statistics Korea University Korea Republic of

The field of risk-constrained reinforcement learning (RCRL) has been developed to effectively reduce the likelihood of worst-case scenarios by explicitly handling risk-measure-based constraints. However, the nonlinearity of risk measures makes it challenging to achieve convergence and optimality. To overcome the difficulties posed by the nonlinearity, we propose a spectral risk measure-constrained RL algorithm, spectral-risk-constrained policy optimization (SRCPO), a bilevel optimization approach that utilizes the duality of spectral risk measures. In the bilevel optimization structure, the outer problem involves optimizing dual variables derived from the risk measures, while the inner problem involves finding an optimal policy given these dual variables. The proposed method, to the best of our knowledge, is the first to guarantee convergence to an optimum in the tabular setting. Furthermore, the proposed method has been evaluated on continuous control tasks and showed the best performance among other RCRL algorithms satisfying the constraints. Our code is available at https://***/rllab-snu/Spectral-Risk-Constrained-RL. © 2024 Neural information processing systems foundation. All rights reserved.

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ENHANCING E-HEALTH CYBERSECURITY AND RESILIENCE: SHIFTING FROM MONOLITHIC TO MICROSERVICES ARCHITECTURE

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: electrical engineering and computer science 2025年第1期87卷 21-34页

作者： Contașel, Cristian Rughiniș, Răzvan Trancă, Dumitru Cristian Țurcanu, Dinu Dept. of Computer Science and Engineering National University of Science and Technology POLITEHNICA Bucharest Romania Dep. of Software Engineering and Automatics Technical University of Moldova Chișinău Moldova

This study provides an innovative architectural model for e-Health systems that aims to improve cyber resilience while maintaining high availability under fluctuating traffic loads. We examined typical cybersecurity incidents in the field of e-Health, their correlations with architectural defects, and frequent design patterns in currently operational systems. A testing approach based on our research finds those weaknesses and proposes viable fixes. In this paper, a comprehensive support strategy for transitioning from conventional monolithic architectures to microservices is presented. This change makes use of cloud computing's vertical and horizontal scalability to maximize resource utilization while ensuring system reliability. We also discuss dep.oyment ideas for the new microservices, focusing on operational resilience and cybersecurity in e-Health environments. © 2025, Politechnica University of Bucharest. All rights reserved.

关键词： Electronic health record

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DESIGN OF TECHNOLOGY FOR SECURE FILE STORAGE BASED ON HYBRID CRYPTOGRAPHY METHODS: SHORT OVERVIEW 4

DESIGN OF TECHNOLOGY FOR SECURE FILE STORAGE BASED ON HYBRID...

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4th IEEE International Conference on Smart Information Systems and Technologies, SIST 2024

作者： Abitova, Gulnara A. Manap, Abu Said Kulniyaziva, Korlan Nikulin, Vladimir Dep. of Electrical Engineering and Computer Science Dep. of Computer Engineering State University of New York Astana IT University BinghamtonNY United States Astana Kazakhstan Astana IT University Astana Kazakhstan Dep.of System analysis and management L.N. Gumilyov Eurasian National University Astana Kazakhstan Dep. of Electrical Engineering and Computer Science Binghamton University BinghamtonNY United States

ISBN: (纸本)9798350374865

In the era of pervasive digital data, ensuring secure file storage has become a paramount concern. This paper explores the significance of hybrid cryptography for design of an advanced tools and techniques for secure file storage. Hybrid cryptography, combining symmetric and asymmetric encryption, offers robust protection against unauthorized access, tampering, and data loss. The article reviews recent cryptography literature, highlighting the importance of secure file storage in today's interconnected world and examining the benefits of hybrid cryptography. The analysis of articles on cryptography reveals emerging trends and challenges. Post-quantum cryptography addresses concerns about quantum threats, while blockchain-based cryptography enhances security in IoT data sharing. Homomorphic encryption enables computations on encrypted data, and cryptographic protocols that protect privacy enable safe multi-party computation. Machine learning's intersection with cryptanalysis introduces efficiency but raises ethical considerations. The paper further discusses advancements and trends in cryptography techniques, including post-quantum cryptography, homomorphic encryption, zero-knowledge proofs, post-quantum key exchange, secure multi-party computation, and post-quantum signature schemes. These developments aim to ensure long-term security against quantum attacks, enable privacy-preserving computations, and enhance the confidentiality, integrity, and authentication of digital communication and data storage. In conclusion, the paper advocates for the adoption of hybrid cryptography in secure file storage systems. Its combination of symmetric and asymmetric encryption, along with its adaptability to evolving security landscapes, positions hybrid cryptography as a formidable approach to data protection. By embracing hybrid cryptography and staying informed about the latest advancements, organizations can navigate the digital age with confidence, ensuring the confidentiality

关键词： Quantum cryptography

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A SENSITIVITY ANALYSIS ON THE EFFECT OF HYPERPARAMETERS IN DEEP NEURAL OPERATORS APPLIED TO SOUND PROPAGATION 10

A SENSITIVITY ANALYSIS ON THE EFFECT OF HYPERPARAMETERS IN D...

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10th Convention of the European Acoustics Association, EAA 2023

作者： Borrel-Jensen, Nikolas Engsig-Karup, Allan P. Jeong, Cheol-Ho Technical University of Denmark Dep. of Electrical and Photonics Engineering Denmark Technical University of Denmark Dep. of Applied Mathematics and Computer Science Denmark

ISBN: (纸本)9788888942674

Deep neural operators have seen much attention in the scientific machine learning community over the last couple of years due to their capability of efficiently learning the nonlinear operators mapping from input function spaces to output function spaces showing good generalization properties. This work will show how to set up a per-formant DeepONet architecture in acoustics for predicting 2-D sound fields with parameterized moving sources for real-time applications. A sensitivity analysis is carried out with a focus on the choice of network architectures, activation functions, Fourier feature expansions, and data fidelity to gain insight into how to tune these models. Specifically, a default feed-forward neural network (FNN), a modified FNN, and a convolutional neural network will be compared. This work will de-mystify the DeepONet and provide helpful knowledge from an acoustical point of view. © 2023 Nikolas Borrel-Jensen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

关键词： Sensitivity analysis

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Integration of a Remote Lab with a Learning System for training on Microcontroller programming 27

Integration of a Remote Lab with a Learning System for train...

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27th Pan-Hellenic Conference on Progress in Computing and Informatics with International Participation, PCI 2023

作者： Garefalakis, Manos Panagiotakis, Spyros Dep. of Electrical and Computer Engineering Hellenic Mediterranean University Greece

ISBN: (纸本)9798400716263

In this paper, there will be presented the design and implementation of the Remote Laboratory (RL) of the Hellenic Mediterranean University (HMU). It will be also presented the hardware which is used and the software running on the RL. Additionally, the paper will present the technologies of the RL used for interconnection with learning platforms and learning analytics, according to the IEEE 1876-2019 standard. The IEEE 1876-2019 standard provides the framework for the design and implementation of RL with learning systems, but not how they can be used in a pedagogical way. So, in this presentation we will address the research question of how the RL can be used in a course of an LMS, which to the best of our knowledge is not presented in other relevant works. © 2023 Owner/Author.

关键词： Learning systems

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Sensing voltage of MEMS Accelerometer using Polycrystalline Silicon (Si),Gallium Arsenide (GaAs) and Germanium (Ge) 6

Sensing voltage of MEMS Accelerometer using Polycrystalline ...

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6th International Youth Conference on Radio Electronics, electrical and Power engineering, REEPE 2024

作者： Elsayed, Amr N. Morsi, Iman G. Abdelrassoul, Roshdy A. Mahmoud, Ahmed K. Arab Academy for Science and Technology Dep. of Electronics and Communications Engineering Alexandria Egypt Air Defense College Dep. of Electrical and Electronic Engineering Alexandria Egypt

ISBN: (纸本)9798350382891

Accelerometers are inertial sensors that detect acceleration and forces along three orthogonal axes, then the readings are produced as a digital or analog signal and used in various applications. Microelectromechanical systems (MEMS) have recently been utilized to perform inertial sensing techniques on an integrated circuit (IC) at micro size. Due to the various characteristics of MEMS materials and how they affect the sensitivity of the MEM Accelerometer with these variations. In this study, a MEMS accelerometer model was created using the COMSOL program. The design was then applied to polycrystalline Silicon (Si), Gallium Arsenide (GaAs), and Germanium (Ge), and the sensing voltage was determined using each material to clarify which of these materials performed best. © 2024 IEEE.

关键词： Germanium

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