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13th International Conference on Power, Energy and electrical engineering, CPEEE 2023

作者： Alarbidi, Omar Mater F Awaji, Hassan Hadi H Althobiti, Ahmad Awadh Alhussainy, Abdullah Ali Alghamdi, Sultan Ajour, M.N. Rawa, Muhyaddin Abusorrah, A.M. King Abdulaziz University Department of Electrical and Computer Engineering Jeddah21589 Saudi Arabia K. A. Care Energy Research and Innovation Center King Abdulaziz University Department of Electrical and Computer Engineering Jeddah21589 Saudi Arabia King Abdulaziz University K. A. Care Energy Research and Innovation Center Smart Grids Research Group Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer Engineering Jeddah21589 Saudi Arabia King Abdulaziz University Smart Grids Research Group Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer Engineering 21589 Jeddah Saudi Arabia

ISBN: (纸本)9781665490146

A wind turbine in wind energy conversion systems (WECS) captures a portion of the wind energy. It converts it to mechanical energy through a dynamic interaction with the electrical generator, transforming this mechanical energy into electrical energy. Therefore, wind turbine dynamics are crucial when researching and developing the whole WECS. It is highly desirable to study the behavior of wind energy and monitor the impact on power quality and short circuit level. In this study, a wind turbine using a permanent magnet synchronous machine (PMSM) simulation system is designed, simulated, cases study is discussed. The PMSM is torque-controlled using the field orientation method. A three-phase IGBT inverter with closed loop current PI-controllers powers the PMSM. The study and control system are executed on MATLAB SIMULINK. © 2023 IEEE.

关键词： Wind turbines

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Contact engineering for organic photovoltaics

Contact engineering for organic photovoltaics

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2024 Solar Energy and Light-Emitting Devices, SOLED 2024

作者： Fuentes-Hernandez, Canek Larrain, Felipe A. Kolesov, Vladimir Chang, Yi-Chien Nam, Minwoo Huang, Tzu-Yen Toney, Michael Kippelen, Bernard Department of Electrical and Computer Engineering Northeastern University BostonMA20155 United States School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Faculty of Engineering and Sciences Universidad Adolfo Ibanez Santiago7941169 Chile Department of Electronic Engineering Keimyung University Daegu42601 Korea Republic of

We present an overview of solution-based electrical p-doping of organic semiconductors using polyoxometalates yielding stable exponentially decaying depth-profiles into the bulk and other highly desirable properties f... 详细信息

关键词： Photovoltaics

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SRAM Process and Debug Sensor

SRAM Process and Debug Sensor

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2023 IEEE National Aerospace and Electronics Conference, NAECON 2023

作者： Gopinath, Anoop Ytterdal, Trond Lee, John Rizkalla, Maher Kumar, Mukesh Norwegian University of Science and Technology Department of Electronic Systems Trondheim Norway Indiana University-Purdue University Indianapolis Department of Electrical and Computer Engineering Indianapolis United States Indian Institute of Technology Indore Department of Electrical Engineering Indore India

ISBN: (纸本)9798350338782

In this paper, a RAZOR-based in-situ monitoring scheme is described for process variation characterization and silicon debug in SRAM arrays. The scheme can identify whether the datapath being monitored has slowed-down due to process variation or hard errors. This information can be used to estimate the impact of process variation or hard errors on memory access time setting critical path in SRAM arrays. Pre-silicon characterized datapath delay via selectable data delay lines referred to as data TRIMs are obtained via SPICE simulations. These pre-silicon data TRIMs, along with post-silicon error output can be used to estimate the datapath slow-down with a margin of error. The margin of error can be reduced by using finer granularity in data TRIMs but comes at the cost of area and power overheads. The scheme can be shared across multiple SRAM arrays, and can also be used in a column-by-column manner to test memory access time with respect to individual bitcells in an array. This provides a deep level of visibility into SRAM macros post-silicon for debug purposes too. The scheme can estimate the slow-down on memory access time setting critical path in global TT corner with up to 99.2 % accuracy. © 2023 IEEE.

关键词： Static random access storage

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Flight Risk Assessment of Urban Air Mobility Vehicles and Routes Based on Battery Energy Consumption 43

Flight Risk Assessment of Urban Air Mobility Vehicles and Ro...

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43rd AIAA DATC/IEEE Digital Avionics systems Conference, DASC 2024

作者： Ayalew, Yonas Nuhu, Abdul-Rauf Zeleke, Lydia Hemmati, Vahid Homaifar, Abdollah Tunstel, Edward North Carolina A&t State University Department of Electrical and Computer Engineering NC27411 United States Motiv Space Systems Inc. PasadenaCA91107 United States

ISBN: (纸本)9798350349610

This paper presents a flight risk assessment framework for Urban Air Mobility (UAM) vehicles and routes. It considers separation automation and mission structure sensitivity based on energy demand. We evaluate the energy consumption of a conceptual hexacopter electric Vertical Takeoff and Landing (eVTOL) vehicle for identified potential UAM routes from Dallas-Fort Worth and San Francisco metropolitan regions considering level flight conflict management. A mission structure-based parameter sensitivity study is conducted for operational flexibility, and assessment of associated risk level, of the UAM vehicle's flight energy consumption using Conditional Value at Risk (CVaR) statistical metrics. Our results demonstrate that the feasibility and energy demand of the flights can be affected greatly by the vehicle configuration, range of the operational routes, aircraft density in the airspace, conflicts, and different parameter values of the mission structure. This study high-lights the fact that a mission parameter-based energy demand evaluation that considers performance-based energy reserve can provide information about possible vehicle capabilities in a specific operation. Additionally, the CVaR metric captured the maximum level of risk associated with high energy-demanding flights for the potential routes in the two metropolitan regions. These findings provide air transportation decision-makers with crucial insights for enhancing strategies aimed at accelerating the design-to-certification process of UAM vehicles and mitigating operational hazards. © 2024 IEEE.

关键词： Air transportation

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A Novel Continuum Approximation to Power System Electromechanical Dynamics

A Novel Continuum Approximation to Power System Electromecha...

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2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022

作者： Lei, S. Maldonado, D.A. Constantinescu, E. Zhao, J. Yarahmadi, S. Mili, L. Anitescu, M. Argonne National Laboratory Mathematics and Computer Science Division LemontIL United States Illinois Institute of Technology Department of Electrical and Computer Engineering ChicagoIL United States Mississippi State University Department of Electrical and Computer Engineering StarkvilleMS United States Virginia Tech Department of Electrical and Computer Engineering BlacksburgVA United States

ISBN: (纸本)9781665437752

This paper proposes a novel two-dimensional continuum model that aims to capture the electromechanical wave phenomenon observed in power systems after a disturbance. The model is derived by a homogenization process of the discrete parameters of the conventional, discrete transient analysis model. The implementation of the proposed model is detailed. The paper also demonstrates the accuracy of the proposed model by comparing its results with those obtained from the discrete model. It is observed that the proposed model is able to provide a similar characterization of system electromechanical dynamics as the discrete model from a continuum point of view. © 2022 IEEE.

关键词： Transient analysis

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Adaptive Deep Learning Model to Enhance Smart Greenhouse Agriculture

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computers, Materials & Continua 2023年第11期77卷 2545-2564页

作者： Medhat A.Tawfeek Nacim Yanes Leila Jamel Ghadah Aldehim Mahmood A.Mahmood Department of Computer Science College of Computer and Information SciencesJouf UniversityP.O.Box 72314SkakaSaudi Arabia Department of Computer Science Faculty of Computers and InformationMenoufia UniversityP.O.Box 6121890MenoufiaEgypt Department of Software Engineering College of Computer and Information SciencesJouf UniversityP.O.Box 72314SkakaSaudi Arabia RIADI Laboratory La Manouba UniversityP.O.Box2010ManoubaTunisia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems and Technology Faculty of Graduate Studies and ResearchCairo UniversityP.O.Box 3753450GizaEgypt

The trend towards smart greenhouses stems from various factors,including a lack of agricultural land area owing to population concentration and housing construction on agricultural land,as well as water *** study proposes building a full farming adaptation model that depends on current sensor readings and available datasets from different agricultural research *** proposed model uses a one-dimensional convolutional neural network(CNN)deep learning model to control the growth of strategic crops,including cucumber,pepper,tomato,and *** proposed model uses the Internet of Things(IoT)to collect data on agricultural operations and then uses this data to control and monitor these operations in real *** helps to ensure that crops are getting the right amount of fertilizer,water,light,and temperature,which can lead to improved yields and a reduced risk of crop *** dataset is based on data collected from expert farmers,the photovoltaic construction process,agricultural engineers,and research *** experimental results showed that the precision,recall,F1-measures,and accuracy of the one-dimensional CNN for the tested dataset were approximately 97.3%,98.2%,97.25%,and 97.56%,*** new smart greenhouse automation system was also evaluated on four crops with a high turnover *** system has been found to be highly effective in terms of crop productivity,temperature management and water conservation.

关键词： Greenhouse wireless sensor network deep learning Internet of Things strategic crops monitoring smart irrigation

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Rapid stabilization of stochastic quantum systems in a unified framework

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Chinese Physics B 2023年第7期32卷 216-225页

作者：温杰王芳敏史元浩贾建芳曾建潮 School of Electrical and Control Engineering North University of ChinaTaiyuan 030051China State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentTsinghua UniversityBeijing 100084China School of Computer Science and Technology North University of ChinaTaiyuan 030051China

Rapid stabilization of general stochastic quantum systems is investigated based on the rapid stability of stochastic differential *** introduce a Lyapunov-LaSalle-like theorem for a class of nonlinear stochastic systems first,based on which a unified framework of rapidly stabilizing stochastic quantum systems is *** to the proposed unified framework,we design the switching state feedback controls to achieve the rapid stabilization of singlequbit systems,two-qubit systems,and N-qubit *** the unified framework,the state space is divided into two state subspaces,and the target state is located in one state subspace,while the other system equilibria are located in the other state *** the designed state feedback controls,the system state can only transit through the boundary between the two state subspaces no more than two times,and the target state is globally asymptotically stable in *** particular,the system state can converge exponentially in(all or part of)the state subspace where the target state is ***,the effectiveness and rapidity of the designed state feedback controls are shown in numerical simulations by stabilizing GHZ states for a three-qubit system.

关键词： rapid stabilization state feedback stochastic quantum systems switching control

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Design of artificial biomimetic channels with Na^(+)permeation rate and selectivity potentially outperforming the natural sodium channel

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Nano Research 2024年第9期17卷 8638-8646页

作者： Zhi Zhu Yan Zhao Chao Chang Shaojian Yan Tingyu Sun Shiyu Gu Yangmei Li Dengsong Zhang Chunlei Wang Xiao Cheng Zeng School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China Innovation Laboratory of Terahertz Biophysics National Innovation Institute of Defense TechnologyBeijing 100071China School of Physics Peking UniversityBeijing 100871China International Joint Laboratory of Catalytic Chemistry College of SciencesShanghai UniversityShanghai 200444China Department of Materials Science and Engineering City University of Hong KongHong Kong 999077China

Artificial ion channels that enable high-efficiency ion transport have important implications in nanofluidics and biomedical applications such as drug ***,we show a simulation-based chemical design of a biomimetic sodium channel that possesses permeation rate and selectivity potentially higher than those of the state-of-the-art natural vertebrate voltage-gated sodium ***,our theoretical findings have undergone empirical testing,aligning well with the Arrhenius law as derived from a diverse range of experimental *** high-efficiency ion transport is achieved by anchoring the carboxylate functional groups within the channel filter.A key chemical guiding principle underlying the ion channel design is that the free-energy barrier for the Na^(+)passage across the channel should be comparable to typical thermal energy at room *** the implementation of the chemical design,we found that the relatively low free-energy barrier can be attributed to the compensation effect of the carboxylate groups to the partially lost oxygen shell of the ion within the ion channel,as well as to the consonant vibration of the ions inside and outside the *** mechanistic understanding brings new insight,at the molecular level,into the high-efficiency ion transport across the designed membrane *** proof of principle achieved from the simulations will stimulate future experimental confirmation and potential applications of the high-performance artificial channels in nanofluidics and in bioinspired iontronics.

关键词： sodium channels anchoring carboxylate functional groups molecular dynamics simulations low free-energy barrier for ion passage thermal kinetic energy

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Agricultural Water Conservation through AI-Enhanced Solar IoT Networks 3

Agricultural Water Conservation through AI-Enhanced Solar Io...

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3rd International Conference on Electronics and Renewable systems, ICEARS 2025

作者： Maniraj, S.P. Monisha, J. Amutha, R. Kavitha, R. Shriidhar, P.J. Srinivasan, C. Srm Institute of Science and Technology School of Computing Department of Data Science and Business Systems Kattankulathur Tamilnadu Chennai India Tamil Nadu Chennai India Ultra College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Madurai India Chennai Institute of Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Vinayaka Missions Kirupananda Variyar Engineering College Department of Computer Science and Engineering Tamil Nadu Salem India Saveetha Universityi Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331509675

With the increasing water shortage and climatic uncertainty, creative strategies for effective water management in agriculture are necessary. This research investigates the integration of Artificial Intelligence (AI), particularly Artificial Neural Networks (ANN), with solar-powered Internet of Things (IoT) networks to enhance water utilization in agricultural activities. The proposed system facilitates accurate irrigation scheduling using real-time data from soil moisture sensors, meteorological stations, and crop health monitoring devices. The ANN model analyses this data to predict ideal irrigation schedules and volumes, minimizing water waste while improving crop yields. The solar-powered IoT framework provides sustainability and reduces dependence on traditional energy sources. Field trials indicate that the AI-enhanced system may promote water saving by as much as 30% relative to traditional irrigation techniques. Moreover, using AI enables adaptive learning, enabling the system to enhance its irrigation tactics using historical and real-time data. This novel method conserves water resources and fosters sustainable agriculture practices, coinciding with global initiatives to address water shortages and assure food security. The findings underscore the potential of technology-based solutions to revolutionize agricultural water management for a sustainable future. © 2025 IEEE.

关键词： Smart agriculture

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An innovative evaluation of microstructure and tribological behavior of AISI 1060 and CuZn37Pb2 under laboratory and complex working conditions

Tribologia: Finnish Journal of Tribology

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Tribologia: Finnish Journal of Tribology 2024年第3期41卷 16-36页

作者： Bougoffa, M. Seyf Eddine Benchaa, Sayhia Abdelhak, Hadibi Ouissem, Benmesbah Si-Hem, Benkhaled Yasmine, Labiod Laboratory of Advanced Technologies in Mechanical Production Department of Mechanical Engineering University of Badji Mokhtar Laboratory LMI Annaba Algeria Faculté des Mathématiques et des Sciences de la Matière Université de Ouargla Ouargla30000 Algeria Laboratory Networks and Systems Laboratory-LRS Department of computer science University of Badji Mokhtar P.o.Box 12 Annaba23000 Algeria

Wear is a significant industrial issue caused by the interaction of multiple complex factors rather than solely by material properties. CuZn37Pb2 and AISI 1060 steel are particularly susceptible to wear due to extensive industrial applications. This study developed a wear test tool, machined on a horizontal lathe, for testing under dry and lubricated conditions. A tribological comparison was conducted between the lathe test and a tribometer, examining factors like surface roughness, load, sliding speed, wear track diameter, track width, contact temperature, wear loss, and wear rate relative to the friction coefficient. Experiments were performed with torques ranging from 25 to 100 N, speeds of 0.30, 0.40, and 0.50 m/s, and wear track diameters of 4, 6, 8, and 10 mm. Worn surfaces and wear tracks were analyzed using optical microscopy and SEM-EDS. The influence of temperature (50 °C to 200 °C) on friction properties was studied, showing that sample morphology and test type greatly affect tribological response. Despite a wear rate calculation error below 8.12%, results indicated differences between laboratory and real-world tribological responses. This study enhances wear understanding by examining numerous previously unstudied characteristics and shows that, although wear cannot be entirely eliminated, it can be significantly minimized. laboratory testing provides prototypes for industrial challenges, effectively linking academic research with industry needs. © 2024 The Authors.

关键词： Tribology

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