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Organic and Hybrid Light Emitting Materials and Devices XXVII 2023

作者： Ko, Donghyun Lee, Jaesang Department of Electrical and Computer Engineering Inter-University Semiconductor Research Center Seoul National University Seoul08826 Korea Republic of

ISBN: (纸本)9781510665323

In this article, we briefly review our recent publication on the influence of trap positions on the current density-voltage characteristics of organic semiconductor devices (PRB, 107, 1652304 [2023]). The position of traps significantly affects the total charge density and electric field in the active organic layer, consequently impacting the operating voltage of the comprising devices. Our findings showed that as the position of traps moves from the charge extraction electrode (cathode) towards the charge injection electrode (anode), the required voltage to achieve a constant current density initially increases. However, a reversed trend in the operating voltage vs. trap position is observed when the traps are present in the vicinity of the anode. We figured out that this phenomenon originates from the trap position dependence of electric field distribution. © 2023 SPIE · 0277-786X ·

关键词： Anodes

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Predictive modeling of MXene-based solar absorbers using a deep neural network

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Journal of the Optical Society of America B: Optical Physics 2025年第4期42卷 763-772页

作者： Waseer, Waleed Iqbal Baqir, Muhammad Abuzar Saqlain, Muhammad Mughal, Muhammad Junaid Khan, Shujaat School of Physics State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Chengdu China Department of Electrical Engineering COMSATS University Islamabad Sahiwal57000 Pakistan Department of Electrical and Computer Engineering COMSATS University Islamabad Islamabad45550 Pakistan Department of Computer Engineering College of Computing and Mathematics King Fahd University of Petroleum & Minerals Dhahran31261 Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence King Fahd University of Petroleum & Minerals Dhahran31261 Saudi Arabia

Nanophotonic structures, such as photonic crystals, plasmonic nanostructures, and metamaterials, present transformative potential in advancing optical devices through innovative design capabilities. Among these, metamaterials—specifically metal–insulator–metal (MIM)-based absorbers—stand out for their ability to achieve high electromagnetic wave absorption across designated frequencies, proving valuable in applications ranging from solar cells to sensors. This study focuses on designing a high-efficiency MXene–SiO2–silver MIM metasurface absorber, leveraging deep learning techniques to streamline and enhance the simulation process traditionally reliant on finite-difference time-domain (FDTD) or finite-element methods (FEMs). By utilizing a deformable convolutional neural network (CNN), the proposed model predicts absorption spectra from metasurface geometries with superior accuracy and reduced computational demand while achieving dynamic spatial transformation handling. The model’s accuracy is further elucidated through Gradient-weighted Class Activation Mapping (Grad-CAM), which provides insights into the absorber’s most influential regions, supporting targeted optimization for specific applications. This deep learning approach demonstrates significant advantages over conventional methods in efficiency and adaptability, advancing the development of high-performance nanophotonic devices. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： Time domain analysis

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Optimal Planning of Renewable Energy Resources Under Islanding Condition

Optimal Planning of Renewable Energy Resources Under Islandi...

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2024 International Conference on Sustainable Power and Energy, ICSPE 2024

作者： Sohel, Fardin Nushin, Shahriar Tarvir Uddin Ananda, Md. Monir Abid, Md. Shadman Ahshan, Razzaqul Daffodil International University Department of Electrical and Electronic Engineering Dhaka Bangladesh Islamic University of Technology Department of Electrical and Electronic Engineering Dhaka Bangladesh Nanotechnology Research Center Sultan Qaboos University Al Khoud123 Oman Sultan Qaboos University Department of Electrical and Computer Engineering Al Khoud123 Oman

ISBN: (纸本)9798350366051

The integration of renewable-based distributed generation (RDG) units instead of conventional fossil fuels is beneficial as it eliminates the negative impacts on the environment while ensuring an efficient operation of the power system. However, because of the irregular characteristics of renewable energy sources (RES), it is essential to ensure the optimum sizing and placement of the RDG units. Several challenges emerge when distributed generation (DG) units are disconnected from the grid, and an islanded system is formed. Ensuring system stability becomes a crucial task in such islanded systems. This paper presents a combined approach to determine the optimal load shedding amount along with the sizing and placement of RDG units by implementing Flood Optimizer. To address this multi-objective optimization (MOO) problem, an objective function is formed that incorporates the voltage stability index (VSI), the total load to be shed, and the overall system losses. The performance of the suggested method was evaluated in an islanding scenario involving two DG units within the IEEE 33 bus distribution system, utilizing MATLAB software. The results were analyzed through simulation, compiling values such as the remaining load on each bus, the size and position of RDG units, VSI, and total system loss. © 2024 IEEE.

关键词： Distributed energy

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Connectivity in the era of the (I)IoT: about security, features and limiting factors of reconfigurable intelligent surfaces

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Discover Internet of Things 2023年第1期3卷 16页

作者： Lipps, Christoph Herbst, Jan Klingel, Steffen Franke, Lars Wolff, Alexander Rüb, Matthias Reddy, Rekha Rahm, Marco Schotten, Hans Dieter Intelligent Networks Research Group German Research Center for Artificial Intelligence Kaiserslautern67663 Germany Institute for Wireless Communication and Radio Positioning RPTU Kaiserslautern-Landau Kaiserslautern67663 Germany Department of Electrical and Computer Engineering Research Center OPTIMAS RPTU Kaiserslautern-Landau Kaiserslautern67663 Germany

What are the key drivers of the (Industrial) Internet of Things ((I)IoT)? Alongside the interconnection of the various devices, sensors, and actuators, it is above all the data collected and transmitted that is of particular significance, the (I)IoT itself is the source and recipient of various types of data. Within this, there are two main aspects that need to be considered: (i) the transmission of data with appropriate latency and reliability requirements, and (ii) the safeguarding of this data. Both requirements are taken into account during the development of the Sixth Generation (6G) Wireless Systems. This is conceived to deliver higher data rates, reduced cost deployment, and enhanced reliability while providing universal connectivity. Hence, to assist such a vast network domain, (new) 6G-enabling technologies are developed, which include Reconfigurable Intelligent Surfaces (RISs), that are capable of modifying and reconfiguring the wireless propagation channels. This work describes concepts on how security, in particular Physical Layer Security (PhySec) methods, can be supported by RISs. Furthermore, an effective impedance surface model is presented, allowing efficient simulation of beamsplitting and shaping properties of RISs. Finally, the applicability of the use cases is mentioned, with a particular focus on Visible Light Communication (VLC). © The Author(s) 2023.

关键词： Internet of things

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Two-Stage Representation Refinement Based on Convex Combination for 3-D Human Poses Estimation

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第12期5卷 6500-6508页

作者： Chen, Luefeng Cao, Wei Zheng, Biao Wu, Min Pedrycz, Witold Hirota, Kaoru China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Macau University of Science and Technology Institute of Systems Engineering Taipa999078 China Istinye University Research Center of Performance and Productivity Analysis Istanbul34010 Turkey Tokyo Institute of Technology Yokohama226-8502 Japan

In the human pose estimation task, on the one hand, 3-D pose always has difficulty in dividing different 2-D poses if the view is limited;on the other hand, it is hard to reduce the lifting ambiguity because of the lack of depth information, it is an important and challenging problem. Therefore, two-stage representation refinement based on the convex combination for 3-D human pose estimation is proposed, in which the two-stage method includes a dense-spatial-temporal convolutional network and a local-to-refine network. The former is applied to determine the features between each video frame;the latter is used to get the different scales of pose details. It aims to address the difficulty of estimating 3-D human pose from 2-D image sequences. In such a way, it can better use the relations between every frame in the sequence of the pose video to produce more accurate results. Finally, we combine the above network with a block called convex combination to help refine the 3-D pose location. We test the proposed approach on both Human3.6m and MPII datasets. The result confirms that our method can achieve better performance than improved CNN supervision, a simple yet effective baseline, and coarse-to-fine volumetric prediction. Besides, a robustness test experiment is carried out for the proposed method while the input is interrupted. The result verifies that our method shows better robustness. © 2024 IEEE.

关键词： Convolution

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8-HQCdCl_(2)H_(2)O as an organic Q-switcher in erbium laser cavity

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Optoelectronics Letters 2023年第11期19卷 681-685页

作者： MUSTAFA MOHAMMED NAJM MOHAMMED NAJM ABDULLAH AYA A.ALMUKHTAR BELAL AHMED HAMIDA MOH YASIN SULAIMAN WADI HARUN Department of Electrical Engineering Universiti MalayaKuala Lumpur50603Malaysia Department of Computer Engineering University of TechnologyBaghdadIraq Medical Instrumentation Engineering Department Al-Esraa University CollegeBaghdadIraq Department of Electrical and Computer Engineering International Islamic University MalaysiaGombakMalaysia Department of Physics Faculty of Science and TechnologyAirlangga UniversitySurabayaIndonesia Research Center for Biophotonics(RCB) Airlangga UniversitySurabaya60115Indonesia

This paper demonstrated a Q-switched erbium-doped fiber laser(EDFL)using an organic saturable absorber(SA)based on 8-HQCdCl_(2)H_(2)O *** organic thin film was prepared using the casting *** proposed Q-switched EDFL has a maximum repetition rate of 143 kHz,minimum pulse duration of 1.85μs and the highest pulse energy of 167 *** Q-switched peak laser was at a central wavelength of 1531 nm with a 3 dB bandwidth of 3.52 nm and power intensity of 2.64 dBm.

关键词： switched laser material

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Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations Systems

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IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 75-89页

作者： Aijuan Song Guohua Wu Witold Pedrycz Ling Wang School of Traffic and Transportation Engineering Central South UniversityChangsha 410075China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6G 2V4Canada Department of Electrical and Computer Engineering Faculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia Systems Research Institute Polish Academy of SciencesWarsaw 01447Poland Department of Automation Tsinghua UniversityBeijing 100084China

Nonlinear equations systems(NESs)are widely used in real-world problems and they are difficult to solve due to their nonlinearity and multiple *** algorithms(EAs)are one of the methods for solving NESs,given their global search capabilities and ability to locate multiple roots of a NES simultaneously within one ***,the majority of research on using EAs to solve NESs focuses on transformation techniques and improving the performance of the used *** contrast,problem domain knowledge of NESs is investigated in this study,where we propose the incorporation of a variable reduction strategy(VRS)into EAs to solve *** VRS makes full use of the systems of expressing a NES and uses some variables(i.e.,core variable)to represent other variables(i.e.,reduced variables)through variable relationships that exist in the equation *** enables the reduction of partial variables and equations and shrinks the decision space,thereby reducing the complexity of the problem and improving the search efficiency of the *** test the effectiveness of VRS in dealing with NESs,this paper mainly integrates the VRS into two existing state-of-the-art EA methods(i.e.,MONES and DR-JADE)according to the integration framework of the VRS and EA,*** results show that,with the assistance of the VRS,the EA methods can produce better results than the original methods and other compared ***,extensive experiments regarding the influence of different reduction schemes and EAs substantiate that a better EA for solving a NES with more reduced variables tends to provide better performance.

关键词： Evolutionary algorithm(EA) nonlinear equations systems(ENSs) problem domain knowledge variable reduction strategy(VRS)

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Analysis of the causes of power crises and their impacts on energy security 4

Analysis of the causes of power crises and their impacts on ...

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4th IEEE International Conference on electrical, computer, and Energy Technologies, ICECET 2024

作者： Fita, Nicolae Daniel Petrilean, Dan Codrut Diodiu, Ioan Lucian Rada, Andrei Cristian Schiopu, Adrian Mihai Muresan-Grecu, Florin Strategic Studies of Energy Security Research Center University of Petrosani Petrosani Romania University of Petrosani Mechanical and Industrial Engineering Transport Depart. Petrosani Romania Blaga University of Sibiu Computer Science and Electrical Engineering Department Lucian Sibiu Romania University of Petrosani Automation Computer Electrical and Power Engineering Depart. Petrosani Romania Strategic Studies of Energy Security European Center Petrosani Petrosani Romania Industrial Engineering Doctoral School University of Petrosani Petrosani Romania

ISBN: (纸本)9798350395914

Without a safety and secure Power System, a state cannot function by the fact that all public systems are interdependent and dependent of electricity. This Power System is composed of several critical power infrastructures of major importance without which the economy and industry of any state in the world could not function. The access to electricity that is created by these critical infrastructures is a common right of every citizen (according with The United Nation 21 Agenda 1992 stated that 'energy is essential for economical and social development and the improvement of quality of life') and it empowers all citizens of a state to find technical and social solutions in times of peace, but also in times of crisis or war, to prevent, correct or managing a blackout. In every state around the world, the Power System is the most important and complex system in that it provides and facilitates critical, domestic and industrial consumers the electricity needed to have a normal life in safety and security. Every Power System is in total interdependence with other systems: food system, water supply system, transport system, health system, financial system, commercial system, administrative system, communication system-information, etc. Through this paper, the authors aimed to take a look at the history, causes and effects of some of the most devastating blackouts that occurred nationally and worldwide between 1977-2018. © 2024 IEEE.

关键词： causes and impacts energy security power crises

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Real-time deep learning-assisted mechano-acoustic system for respiratory diagnosis and multifunctional classification

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npj Flexible Electronics 2024年第1期8卷 192-203页

作者： Hee Kyu Lee Sang Uk Park Sunga Kong Heyin Ryu Hyun Bin Kim SangHoon Lee Danbee Kang Sun Hye Shin Ki Jun Yu Juhee Cho Joohoon Kang Il Yong Chun Hye Yun Park Sang Min Won Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwonRepublic of Korea Department of Clinical Research Design and Evaluation SAIHSTSungkyunkwan UniversitySeoulRepublic of Korea Patient-Centered Outcomes Research Institute Samsung Medical CenterSeoulRepublic of Korea Center for Clinical Epidemiology Samsung Medical CenterSeoulRepublic of Korea Division of Pulmonary and Critical Care Medicine Department of MedicineSamsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of Korea School of Electrical and Electronic Engineering Yonsei UniversitySeoulRepublic of Korea School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySuwonRepublic of Korea Center for Neuroscience Imaging Research Institute for Basic ScienceSuwonRepublic of Korea

Epidermally mounted sensors using triaxial accelerometers have been previously used to monitor physiological processes with the implementation of machine learning(ML)algorithm *** findings from these previous studies have established a strong foundation for the analysis of highresolution,intricate signals,typically through frequency domain *** this study we integrate a wireless mechano-acoustic sensor with a multi-modal deep learning system for the real-time analysis of signals emitted by the laryngeal prominence area of the thyroid cartilage at frequency ranges up to 1 *** interface provides real-time data visualization and communication with the ML server,creating a system that assesses severity of chronic obstructive pulmonary disease and analyzes the user’s speech patterns.

关键词： system diagnosis mounted

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Secondary Frequency Control of Decoupled Trigonometric Saturated Droop Controller for Islanded Low-Voltage Mesh Microgrid with Linear Load 13

Secondary Frequency Control of Decoupled Trigonometric Satur...

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

作者： Alghobari, Mohammed Alhussainy, Abdullah Ali Alghamdi, Sultan Rawa, Muhyaddin Abusorrah, Abdullah King Abdulaziz University K. A. Care Energy Research and Innovation Center 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 Jeddah21589 Saudi Arabia

ISBN: (纸本)9781665490146

This paper presents a robust secondary frequency control integrated with decoupled trigonometric saturated droop controller (DTSDC). The primary frequency controller may induce an error in frequency regulation, which affects the load sharing accuracy among microgrid distributed generators (DGs). Therefore, a centralized secondary controller is designed to converge the frequency to its nominal value for grid-forming inverters. Using an advanced communication channel, the proposed primary and secondary controller can primarily restore the frequency during disturbances, such as DG on/off switching and loading system variation. The practicality and performance of the proposed controller have been demonstrated with MATLAB simulation environment on a mesh microgrid system consisting of four parallel DGs-based inverters. Simulation results show the proposed controller's robustness in the microgrid frequency stability. Hence, it achieves accurate active power sharing with a linear load. Moreover, the impact of resistive and inductive line impedance is discussed in this study. A comparison between the microgrid centralized controller (MGCC) and the decoupled trigonometric saturated droop controller (DTSDC) only is conducted to show the robustness of the presented controller performance. © 2023 IEEE.

关键词： Distributed power generation

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