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International Symposium, Seminar, and Exhibition, Display Week 2024

作者： Shin, Seungyoon Jang, Yuseong Park, Junhyeong Lee, Soo-Yeon Department of Electrical and Computer Engineering Inter-university Semiconductor Research Center Seoul National University Seoul08826 Korea Republic of

We prepared oxide semiconductor-based ferroelectric thin-film transistors (FeTFTs) with a floating gate for memory application. Depositing oxide semiconductor on HfZrOx (HZO) as a floating gate successfully induced a polar orthorhombic phase with a larger memory window and higher endurance than conventional floating gate material TiN. © 2024, John Wiley and Sons Inc. All rights reserved.

关键词： Oxide semiconductors

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School Start Time Selection for the Morning Commute Problem: A Regional Modeling and Optimization Approach 27

School Start Time Selection for the Morning Commute Problem:...

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27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： Georgantas, Antonios Timotheou, Stelios Panayiotou, Christos G. University of Cyprus 2109 Kios Research and Innovation Center of Excellence Department of Electrical and Computer Engineering Panepistimiou 1 Avenue Cyprus

ISBN: (纸本)9798331505929

Urban traffic congestion during morning rush hour is a source of severe discomfort for commuters. Some commuters must make an intermediate stop at a school to drop off their children before heading to their destination. On the other hand, a different portion of commuters utilize the same network infrastructure to arrive at their destination directly. The fact that schools start at the same time implies that the school-oriented commuters depart from their homes almost simultaneously, significantly contributing to congestion. To address this issue, we propose a feedback-based mechanism that in conjunction with different optimization solvers, staggers the start time of schools such that the peak demand is redistributed. The related problem is formulated as a bi-objective mixed integer nonlinear program that jointly minimizes i) the total time spent by all vehicles inside the network and ii) the overall change between the initial and the staggered start time of the schools. Simulation experiments verify that for the examined network architecture, the developed approach can pinpoint school start times that can completely eliminate congestion. © 2024 IEEE.

关键词： Traffic congestion

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Improving AlGaInP Micro-LEDs Characteristics via Varied Dielectric Passivation Layers

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IEEE Transactions on Electron Devices 2024年第3期71卷 2253-2256页

作者： Wang, Zhen-Jin Ye, Xin-Liang Tu, Wei-Chen Yang, Chih-Chiang Su, Yan-Kuin National Cheng-Kung University Institute of Microelectronics Department of Electrical Engineering Tainan70101 Taiwan Epileds Technologies Inc. Tainan741148 Taiwan National Cheng Kung University Academy of Innovative Semiconductor and Sustainable Manufacturing Department of Electrical Engineering Tainan70101 Taiwan Kun Shan University Green Energy Technology Research Center Department of Electrical Engineering Yongkang710 Taiwan National Cheng Kung University Academy of Innovative Semiconductor and Sustainable Manufacturing Institute of Microelectronics Department of Electrical Engineering Tainan701 Taiwan

This study aims to improve the characteristics of AlGaInP-based micro light-emitting diodes (micro-LEDs) by utilizing three different passivation layers, including silicon dioxide (SiO2), distributed Bragg reflector (DBR), and aluminum oxide (Al2O3) grown by atomic layer deposition (ALD) in combination with DBR. In terms of transmittance and refractive indices, our proposed structure, constructed with ALD-grown Al2O3 and a nine-layered DBR, exhibits significant improvements in all aspects compared to the traditional structure with a 3000Å SiO2 passivation layer. Additionally, the structure demonstrates a 124.28% increase in external quantum efficiency (EQE) compared to the LED constructed with a nine-layered DBR. This result indicates that the ALD growth of Al2O3 effectively reduces sidewall losses, significantly impacting the improvement of micro-LEDs. © 1963-2012 IEEE.

关键词： Atomic layer deposition

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Synergistic frameworks for sensor fault isolation and accommodation in grid-side converters

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Journal of Automation and Intelligence 2024年第4期3卷 202-218页

作者： Faizan Mehmood Lenos Hadjidemetriou Panayiotis M.Papadopoulos Marios M.Polycarpou KIOS Research and Innovation Center of Excellence and the Department of Electrical and Computer EngineeringUniversity of CyprusNicosia2109Cyprus Energy EnvironmentWater Research CenterThe Cyprus InstituteAglantziaNicosia2121Cyprus

The stable and reliable operation of grid-integrated renewable energy systems requires advanced control and coordination of grid-side converters(GSCs),utilizing the feedback measurements of voltage and current sensors from both the direct current(DC)and alternating current(AC)sides of the ***,the effective operation of the converter is susceptible to sensor failures or divergence from their proper *** sensor fault detection algorithms are usually effective under abrupt faults,the fault propagation effect caused by the physical interconnection between the DC and AC sides of the converter may limit the performance of the sensor fault isolation process in revealing the exact location of a potential faulty ***,this work proposes a robust,model-based fault isolation and accommodation ***,a synergistic sensor fault isolation framework based on adaptive estimation schemes is proposed for both single and multiple faults in the DC voltage and AC current sensors,considering modeling uncertainty and measurement *** performance analysis in terms of stability,learning capability,and fault isolability is rigorously *** accommodation scheme based on a virtual sensor utilizing dynamic sensor fault estimation with realtime learning capabilities is applied to a ***,the performance of the proposed fault isolation and accommodation scheme is evaluated through simulation analysis under several scenarios involving single and multiple sensor faults.

关键词： Fault accommodation Fault detection Fault isolation Grid-side converter Nonlinear system Sensor faults

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Energy Management of Networked Smart Railway Stations Considering Regenerative Braking, Energy Storage System, and Photovoltaic Units

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Energy engineering 2023年第1期120卷 69-86页

作者： Saeed Akbari Seyed Saeed Fazel Hamed Hashemi-Dezaki School of Railway Engineering Iran University of Science and TechnologyTehran13114-16846Iran Department of Electrical and Computer Engineering University of KashanKashan***Iran Research and Innovational Center for Electrical Engineering(RICE) Faculty of Electrical EngineeringUniversity ofWest Bohemia(UWB)Pilsen30100Czech Republic

The networking of microgrids has received significant attention in the form of a smart *** this paper,a set of smart railway stations,which is assumed as microgrids,is connected *** has been tried to manage the energy exchanged between the networked microgrids to reduce received energy from the utility ***,the operational costs of stations under various conditions decrease by applying the proposed *** smart railway stations are studied in the presence of photovoltaic(PV)units,energy storage systems(ESSs),and regenerative braking *** regenerative braking is one of the essential ***,the stochastic behaviors of the ESS’s initial state of energy and the uncertainty of PV power generation are taken into account through a scenario-based *** networked microgrid scheme of railway stations(based on coordinated operation and scheduling)and independent operation of railway stations are *** proposed method is applied to realistic case studies,including three stations of Line 3 of Tehran Urban and Suburban Railway Operation Company(TUSROC).The rolling stock is simulated in the MATLAB ***,the coordinated operation of networked microgrids and independent operation of railway stations are optimized in the GAMS environment utilizing mixed-integer linear programming(MILP).

关键词： Energy management system(EMS) smart railway stations coordinated operation photovoltaic generation regenerative braking uncertainty scenario-based model mixed-integer linear programming(MILP)

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Short-term Load Forecasting of an Integrated Energy System Based on STL-CPLE with Multitask Learning

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Protection and Control of Modern Power Systems 2024年第6期9卷 71-92页

作者： Suxun Zhu Hengrui Ma Laijun Chen Bo Wang Hongxia Wang Xiaozhu Li Wenzhong Gao the College of Energy and Electrical En-gineering Qinghai UniversityXining 810016China the School of Electrical and Automation Wuhan UniversityWuhan 430072China the Department of Electrical and Computer Engineering University of DenverDenver CO 80208USA Engineering Research Center for Renewa-ble Energy Generation and Grid Connection Technology Ministry of EducationXinjiang UniversityUrumchi 830046China

Multienergy loads in integrated energy sys-tems(IESs)exhibit strong volatility and randomness,and existing multitask sharing methods often encounter nega-tive migration and seesaw problems when addressing complexity and competition among *** line with these considerations,a short-term multienergy load joint prediction method based on seasonal-trend decomposition using LOESS(STL)and convolutional progressive lay-ered extraction(CPLE)is proposed,called ***,STL is applied to model regular and uncertain load information into interpretable trend,seasonal,and re-sidual ***,joint modeling is performed for the same type of components of multienergy loads.A one-dimensional convolutional neural network(1DCNN)is constructed to extract deeper feature *** approach works in concert with the progressive layered extraction sharing method,and convolutional shared and task-specific experts are developed to acquire common and distinctive representations of multienergy loads, re-spectively. Task-specific parameters are gradually sepa-rated through progressive routing. Finally, a subtask network is built to learn temporal dependencies using long short-term memory (LSTM). Simulation validation is performed on the IES dataset at the Tempe campus of Arizona State University, and the experiments show that the STL-CPLE method exhibits higher prediction accu-racy than do the other methods.

关键词： Integrated energy system multienergy load forecasting convolutional progressive layer extrac-tion network seasonal-trend decomposition.

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Multi-Band Electromagnetic Metasurface Absorber Design Using Concentric Split-Ring Resonators

Multi-Band Electromagnetic Metasurface Absorber Design Using...

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2023 International Symposium on Networks, computers and Communications, ISNCC 2023

作者： Al Ajmi, Haitham Bait-Suwailam, Mohammed M. Sultan Qaboos University Department of Electrical and Computer Engineering Muscat Oman Remote Sensing and GIS Research Center Department of Electrical and Computer Engineering Sultan Qaboos University Muscat Oman

ISBN: (纸本)9798350335590

In this paper, we present a novel multi-band meta-surface absorber design for low-powered Internet of Things (IoT) devices. The absorber design is composed of concentric metallic split-ring resonators that collectively are able to absorb energy over multiple frequency bands, covering 2.5 GHz, 3.6 GHz, and 5 GHz bands. The metallic rings are etched from the top layer of the dielectric laminate and backed with a solid metallic ground layer. Based on the numerical simulation results, the electromagnetic harvester shows good performance, with absorption strength over 70% on average over the three bands and with an adequate performance as the angle of the incident is varied. The design can be fabricated using printed circuit board technology. © 2023 IEEE.

关键词： Energy harvesting

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Robust graph‐based localization for industrial Internet of things in the presence of flipping ambiguities

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1140-1149页

作者： Mian Imtiaz ul Haq Ruhul Amin Khalil Muhannad Almutiry Ahmad Sawalmeh Tanveer Ahmad Nasir Saeed Faculty of Electrical Engineering Swedish College of Engineering and TechnologyWah CanttPakistan Department of Electrical Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and TechnologyPeshawarPakistan Department of Electrical Engineering Remote Sensing UnitNorthern Border UniversityArarSaudi Arabia Data Science and Artificial Intelligence Department‐College of Science and Information Technology Irbid National UniversityIrbadJordan Innovation Education and Research Center for On‐Device AI Software(Bk21) Department of Computer Science and EngineeringChungnam National UniversityDaejeonRepublic of Korea Department of Electrical and Communication Engineering United Arab Emirates University(UAEU)Al AinUnited Arab Emirates

Localisation of machines in harsh Industrial Internet of Things(IIoT)environment is necessary for various ***,a novel localisation algorithm is proposed for noisy range measurements in IIoT *** position of an unknown machine device in the network is estimated using the relative distances between blind machines(BMs)and anchor machines(AMs).Moreover,a more practical and challenging scenario with the erroneous position of AM is considered,which brings additional uncertainty to the final position ***,the AMs selection algorithm for the localisation of BMs in the IIoT network is *** those AMs will participate in the localisation process,which increases the accuracy of the final location ***,the closed‐form expression of the proposed greedy successive anchorization process is derived,which prevents possible local convergence,reduces computation,and achieves Cramér‐Rao lower bound accuracy for white Gaussian measurement *** results are compared with the state‐of‐the‐art and verified through numerous simulations.

关键词： Cramér‐Rao lower bound greedy successive anchorization industrial internet of things localization

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"Fiction to Function"Shaping Renewable Energy Education with MATLAB and ChatGPT-Driven Environments 21

"Fiction to Function"Shaping Renewable Energy Education with...

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21st International Learning and Technology Conference, L and T 2024

作者： Mohamed, Baher Babiker, Safia Aldybous, Alaa Kabbaj, Narjisse Brahimi, Tayeb Effat University Effat College of Engineering Electrical and Computer Engineering Department Jeddah Saudi Arabia Effat University Effat College of Engineering Energy and Technology Research Center Electrical and Computer Engineering Department Jeddah Saudi Arabia Effat University Natural Science Math and Tech Unit Effat College of Engineering Energy and Technology Research Center Jeddah Saudi Arabia

ISBN: (纸本)9798350393569

Addressing the gap in effective and engaging renewable energy education, this study, 'Fiction to Function,' transitions imaginative frameworks into practical educational tools, focusing on solar and wind energy in line with Sustainable Development Goals (SDGs). The goal is to empower users with deep insights into renewable energy through the novel integration of MATLAB and ChatGPT-driven environments, enhancing the analysis and exploration of these energy sources. The study employs a structured approach using MATLAB App Designer to develop a user-friendly GUI, aligning instructional content with the SDGs and integrating ChatGPT via the OpenAI API for dynamic, interactive learning experiences. This integration provides a multifaceted platform that not only educates but also engages users in practical scenarios, bridging the gap between theoretical knowledge and real-world application. The results demonstrate an enhanced understanding of renewable energy concepts among users, showcasing the efficacy of combining MATLAB's analytical capabilities with ChatGPT's AI-driven guidance. Ultimately, the study highlights the transformative potential of innovative technology in sustainable energy education, setting a precedent for future educational tools in this domain. © 2024 IEEE.

关键词： Integration

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Expanding chiral metamaterials for retrieving fingerprints via vibrational circular dichroism

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Light(Science & Applications) 2023年第7期12卷 1401-1414页

作者： Cheng Xu Zhihao Ren Hong Zhou Jingkai Zhou Chong Pei Ho Nan Wang Chengkuo Lee Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Center for Inteligent Sensors and MEMS(CISM) National University of SingaporeSingapore 117608Singapore institute of Microelectronics(IME) Agency for ScienceTechnology and Research(A*STAR)Singapore 138634Singapore NUS Graduate School for Integrative Science and Engineering Program(ISEP) National University of SingaporeSingapore 117456Singapore

Circular dichroism(CD)spectroscopy has been widely demonstrated for detecting chiral ***,the determination of chiral mixtures with various concentrations and enantiomeric ratios can be a challenging *** solve this problem,we report an enhanced vibrational circular dichroism(VCD)sensing platform based on plasmonic chiral metamaterials,which presents a 6-magnitude signal enhancement with a selectivity of chiral *** by coupled-mode theory,we leverage both in-plane and out-of-plane symmetry-breaking structures for chiral metamaterial design enabled by a two-step lithography process,which increases the near-field coupling strengths and varies the ratio between absorption and radiation loss,resulting in improved chiral light-matter interaction and enhanced molecular VCD ***,we demonstrate the thin-film sensing process of BSA andβ-lactoglobulin proteins,which contain secondary structures a-helix andβ-sheet and achieve a limit of detection down to zeptomole ***,we also,for the first time,explore the potential of enhanced VCD spectroscopy by demonstrating a selective sensing process of chiral mixtures,where the mixing ratio can be successfully differentiated with our proposed chiral *** findings improve the sensing signal of molecules and expand the extractable information,paving the way toward label-free,compact,small-volume chiral molecule detection for stereochemical and clinical diagnosisapplications.

关键词： chiral vibrational circular

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