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4th International Conference on Expert Clouds and Applications, ICOECA 2024

作者： Aancy, H. Mickle Mary, S. Anitha Janet Manikumar, T. Saravanan, G. Mohanavel, V. Gupta, Rahul Dev Panimalar Engineering College Department of Management Studies Tamil Nadu Chennai600123 India Noorul Islam Centre for Higher Education Department of Electrical and Electronics Engineering Tamil Nadu Kumaracoil629180 India Kalasalingam Academy of Research and Education Deemed to be University Department of Computer Science and Engineering Tamil Nadu 626126 India KPR Institute of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Coimbatore641407 India Centre for Materials Engineering and Regenerative Medicine Bharath Institute of Higher Education and Research Tamil Nadu Chennai600073 India Department of Mechanical Engineering Haryana 133207 India

ISBN: (纸本)9798350385793

Efficient energy management requires a thorough understanding of individual appliance energy consumption in both residential and business environments. Because of the growing number of Internet of Things (loT) devices in smart homes, household appliances are a significant source of total energy consumption. Commonly used equipment such as heating systems, washing machines, and vacuum cleaners have a substantial impact on daily energy consumption. Significant energy savings can only be realized by careful management and forecasting of these appliances' energy consumption. This research employs Recurrent Neural Network (RNN) models for energy forecasting of housing appliances, with Long Short-Term Memory (LSTM) and a hybrid model known as Bi-LSTM-Attention Network. A Kaggle dataset with 28 features is used in this study, which is then reduced to 17 using a correlation plot. The processed data is used in both the training and testing phases of the RNN models. Many metrics are used to evaluate the performance of the models, including R-squared (R2), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). The Bi- LSTM-Attention Network achieves excellent performance, with training and testing R2 values of 0.9978 and 0.9835, respectively. In addition, lower MSE and RMSE values demonstrate that Bi-LSTM-Attention Network constantly outperforms LSTM. The findings show that the proposed Bi-LSTM-Attention Network is capable of accurately predicting the amount of energy household appliances will consume. © 2024 IEEE.

关键词： Long short-term memory

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Numerical Modelling of Buffer Layers for Advancing CZTSSe Solar Cell Efficiency

arXiv

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arXiv 2025年

作者： Ahamed, Tanzir Rayhan, Fozlur Rahaman, Imteaz Rahman, Md Hamidur Bappy, Md MehediHasan Ahammed, Tanvir Ghosh, Sampad Department of Electrical and Electronic Engineering CCN University of Science and Technology Cumilla3503 Bangladesh Department of Electrical and Electronic Engineering Chittagong University of Engineering and Technology Chattogram4349 Bangladesh Department of Electrical and Computer Engineering Lamar University BeaumontTX77705 United States Department of Electrical and Computer Engineering University of Utah Salt Lake CityUT84112 United States Department of Materials Science and Engineering University of Rajshahi Rajshahi6205 Bangladesh

Kesterite is a leading candidate among inorganic thin-film photovoltaic technologies, offering sustainable and environmentally friendly solutions without reliance on critical raw materials. This study investigates the performance of CZTSSe-based kesterite solar cells using SCAPS-1D simulations. Four device configurations are analyzed by integrating the CZTSSe absorber layer with buffer materials, including CdS, SnS2, IGZO, and ZnSe, selected based on their energy band alignment. Moreover, key parameters influencing device efficiency, such as absorber defect density, buffer layer thickness, and the donor and defect densities of the buffer materials, are systematically examined. The thickness of the absorber layer and acceptor density are optimized, considering practical manufacturing constraints. Following optimization, the i-ZnO/SnS2/CZTSSe/Au configuration achieves a notable efficiency of 28.38%, with a VOC of 0.83 V, a JSC of 39.93 mA/cm2, and a fill factor of 85.4%. Furthermore, the stability of the optimized structures is evaluated under varying conditions, including resistances, temperature, generation and recombination dynamics, as well as JV and QE characteristics. These findings provide valuable insights for advancing the efficiency and stability of CZTSSe solar cells, contributing to the development of sustainable photovoltaic technologies. Copyright © 2025, The Authors. All rights reserved.

关键词： II-VI semiconductors

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Unprecedented Enhancement of Piezoelectricity in Wurtzite Nitride Semiconductors via Thermal Annealing

arXiv

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arXiv 2024年

作者： Mondal, Shubham Tanim, Mehedi Hasan Baucom, Garrett Dabas, Shaurya S. Gao, Jinghan Gaddam, Venkateswarlu Liu, Jiangnan Ross, Aiden Chen, Long-Qing Kim, Honggyu Tabrizian, Roozbeh Mi, Zetian Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States Department of Materials Science and Engineering University of Florida GainesvilleFL32611 United States Electrical and Computer Engineering Department University of Florida GainesvilleFL32611 United States Department of Materials Science and Engineering The Pennsylvania State University University ParkPA16802 United States

The incorporation of rare-earth elements in wurtzite nitride semiconductors, e.g., scandium alloyed aluminum nitride (ScAlN), promises dramatically enhanced piezoelectric responses, critical to a broad range of acoustic, electronic, photonic, and quantum devices and applications. Experimentally, however, the measured piezoelectric responses of nitride semiconductors are far below what theory has predicted. Here, we show that the use of a simple, scalable, post-growth thermal annealing process can dramatically boost the piezoelectric response of ScAlN thin films. We achieve a remarkable 3.5-fold increase in the piezoelectric modulus, d33 for 30% Sc content ScAlN, from 12.3 pC/N in the as-grown state to 45.5 pC/N, which is eight times larger than that of AlN. The enhancement in piezoelectricity has been unambiguously confirmed by three separate measurement techniques. Such a dramatic enhancement of d33 has been shown to impact the effective electromechanical coupling coefficient kt2 : increasing it from 13.8% to 76.2%, which matches the highest reported values in millimeter thick lithium niobate films but is achieved in a 100 nm ScAlN with a 10,000 fold reduction in thickness, thus promising extreme frequency scaling opportunities for bulk acoustic wave resonators for beyond 5G applications. By utilizing a range of material characterization techniques, we have elucidated the underlying mechanisms for the dramatically enhanced piezoelectric responses, including improved structural quality at the macroscopic scale, more homogeneous and ordered distribution of domain structures at the mesoscopic scale, and the reduction of lattice parameter ratio (c/a) for the wurtzite crystal structure at the atomic scale. Overall, the findings present a simple yet highly effective pathway that can be extended to other material families to further enhance their piezo responses. © 2024, CC BY.

关键词： Aluminum nitride

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Distributed Fault Detection for Dynamic Systems Based on H̲/H∞Indices 4

Distributed Fault Detection for Dynamic Systems Based on H̲...

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4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Wang, Qiang Cheng, Chao Sun, Aichen Chen, Hongtian School of Computer Science and Engineering Changchun University of Technology Changchun China Taiyuan City Vocational College Department of Mechanical and Electrical Engineering Taiyuan China University of Alberta Department of Chemical and Materials Engineering Edmonton Canada

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

With the help of the sensor networks, this paper mainly develops a model-based distributed fault detection method for dynamic systems. Specifically, each sensor node is equipped with a Luenberger observer and a post-filter for residual generation. It is worth mentioning that, the post-filter is designed to improve detection performance through the H-/H∞ indices. Moreover, the design parameters are dependent on the linear matrix inequality. Finally, a numerical example is introduced to verify the accuracy and effectiveness of the proposed distributed approach. © 2022 IEEE.

关键词： Linear matrix inequalities

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The Effect of Annealing Temperature on Antiferroelectric Zirconia

The Effect of Annealing Temperature on Antiferroelectric Zir...

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2022 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2022

作者： Gaskell, Anthony A. Wang, Zheng Dopita, Milan Kriegner, Dominik Tasneem, Nujhat Khan, Asif I. Georgia Institute of Technology School of Electrical and Computer Engineering and of Materials Science and Engineering AtlantaGA United States Charles University Department of Condensed Matter Physics Prague Czech Republic

ISBN: (纸本)9781665409230

The relationship between the post-metallization annealing temperature of an antiferroelectric zirconia thin film and its electrical response was studied. It was determined that a minimum annealing temperature of 350 °C was required to achieve an antiferroelectric response in 10 nm ZrO2 thin films. A higher annealing temperature resulted in a larger switching current at the critical electric field of phase transformation (and hence larger saturation polarization) and a larger crystallite size as determined from grazing incidence X-ray diffraction analysis. It was therefore concluded that nanocrystallites smaller than a particular grain size did not undergo phase transformation at the critical electric field. © 2022 IEEE.

关键词： Zirconia

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Chiral exceptional point enhanced active tuning and non reciprocity in micro-resonators

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光：科学与应用（英文版） 2025年第2期14卷 401-410页

作者： Hwaseob Lee Lorry Chang Ali Kecebas Dun Mao Yahui Xiao Tiantian Li Andrea Alù Sahin K.Özdemir Tingyi Gu Department of Electrical and Computer Engineering University of DelawareNewarkDelaware 19716USA Department of Engineering Science and Mechanics Pennsylvania State UniversityUniversity ParkPA 16802USA Photonics Initiative Advanced Science Research CenterCity University of New YorkNew YorkNY 10031USA Physics Program Graduate CenterCity University of New YorkNew YorkNY 10016USA Department of Engineering Science and Mechanics Pennsylvania State UniversityUniversity ParkPA 16802USA Department of Electrical and Computer Engineering Saint Louis UniversitySaint LouisMO 63103USA

Exceptional points(EPs)have been extensively explored in mechanical,acoustic,plasmonic,and photonic ***,little is known about the role of EPs in tailoring the dynamic tunability of optical devices.A specific type of EPs known as chiral EPs has recently attracted much attention for controlling the flow of light and for building sensors with better responsivity.A recently demonstrated route to chiral EPs via lithographically defined symmetric Mie scatterers on the rim of resonators has not only provided the much-needed mechanical stability for studying chiral EPs,but also helped reduce losses originating from nanofabrication imperfections,facilitating the in-situ study of chiral EPs and their contribution to the dynamics and tunability of ***,we use asymmetric Mie scatterers to break the rotational symmetry of a microresonator,to demonstrate deterministic thermal tuning across a chiral EP,and to demonstrate EP-mediated chiral optical nonlinear response and efficient electro-optic *** results indicate asymmetric electro-optic modulation with up to 17 dB contrast at GHz and CMOS-compatible voltage *** wafer-scale nano-manufacturing of chiral electro-optic modulators and the chiral EP-tailored tunning may facilitate new micro-resonator functionalities in quantum information processing,electromagnetic wave control,and optical interconnects.

关键词： active point micro chiral enhanced exceptional reciprocity resonators tuning

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Spin-orbit-locked hyperbolic polariton vortices carrying reconfigurable topological charges

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eLight 2022年第1期2卷 143-153页

作者： Mingsong Wang Guangwei Hu Saroj Chand Michele Cotrufo Yohannes Abate Kenji Watanabe Takashi Taniguchi Gabriele Grosso Cheng‑Wei Qiu Andrea Alù Photonics Initiative Advanced Science Research CenterCity University of New YorkNew York CityNY 10031USA Department of Electrical and Computer Engineering National University of SingaporeSingapore 116083Singapore Department of Physics and Astronomy The University of GeorgiaAthensGA 30602USA Research Center for Functional Materials National Institute for Materials ScienceTsukubaIbaraki 305‑0044Japan International Center for Materials Nanoarchitectonics National Institute for Materials ScienceTsukubaIbaraki 305‑0044Japan Physics Program Graduate CenterCity University of New YorkNew YorkNY 10016USA

The topological features of optical vortices have been opening opportunities for free-space and on-chip photonic technologies,e.g.,for multiplexed optical communications and robust information *** a parallel but disjoint effort,polar anisotropic van der Waals nanomaterials supporting hyperbolic phonon polaritons(HP2s)have been leveraged to drastically boost light-matter *** far HP2 studies have been mainly focusing on the control of their amplitude and scale *** we report the generation and observation of mid-infrared hyperbolic polariton vortices(HP2Vs)associated with reconfigurable topological ***-shaped gold disks coated with a flake of hexagonal boron nitride are exploited to tailor spin-orbit interactions and realise deeply subwavelength *** complex interplay between excitation spin,spiral geometry and HP2 dispersion enables robust reconfigurability of the associated topological *** results reveal unique opportunities to extend the application of HP2s into topological photonics,quantum information processing by integrating these phenomena with single-photon emitters,robust on-chip optical applications,sensing and nanoparticle manipulation.

关键词： Hyperbolic polariton vortex Light-matter interactions Spin-orbit interaction Topological charge Reconfigurability

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An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge

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IEEE Transactions on Affective Computing 2023年第3期14卷 1857-1875页

作者： Xie, Hong-Xia Lo, Ling Shuai, Hong-Han Cheng, Wen-Huang National Yang Ming Chiao Tung Univresity Institute of Electronics Hsinchu300093 Taiwan National Yang Ming Chiao Tung Univresity Department of Electrical and Computer Engineering Hsinchu300093 Taiwan National Chung Hsing University Artificial Intelligence and Data Science Program Taichung40227 Taiwan

Facial micro-expressions indicate brief and subtle facial movements that appear during emotional communication. In comparison to macro-expressions, micro-expressions are more challenging to be analyzed due to the short span of time and the fine-grained changes. In recent years, micro-expression recognition (MER) has drawn much attention because it can benefit a wide range of applications, e.g., police interrogation, clinical diagnosis, depression analysis, and business negotiation. In this survey, we offer a fresh overview to discuss new research directions and challenges these days for MER tasks. For example, we review MER approaches from three novel aspects: macro-to-micro adaptation, recognition based on key apex frames, and recognition based on facial action units. Moreover, to mitigate the problem of limited and biased ME data, synthetic data generation is surveyed for the diversity enrichment of micro-expression data. Since micro-expression spotting can boost micro-expression analysis, the state-of-the-art spotting works are also introduced in this paper. At last, we discuss the challenges in MER research and provide potential solutions as well as possible directions for further investigation. © 2010-2012 IEEE.

关键词： Surveys

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Periodic Poling of Single Crystal Thin Film Barium Titanate-On-Insulator

Periodic Poling of Single Crystal Thin Film Barium Titanate-...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Pragati Aashna Hong-Lin Lin Yu Cao Yuan Gao Sakthi Sanjeev Mohanraj Di Zhu Aaron Danner Department of Electrical and Computer Engineering National University of Singapore Singapore Institute of Materials Research and Engineering Agency for Science Technology and Research Singapore Department of Material Science and Engineering National University of Singapore Singapore

We report, for the first time, electric field periodic poling of single-crystal thin film barium titanate grown using pulsed-laser-deposition on dysprosium scandate substrate. Uniform domains with periods $5-7\ \mu\m... 详细信息

ISBN: (纸本)9798350369311

关键词： Barium Waveguide lasers Crystals Lasers and electrooptics Dysprosium Titanium compounds Electric fields Substrates Ribs Electro-optical waveguides

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Femtosecond Laser Damage Comparison between Silica/Hafnia Nanolaminates vs. Mixed Material Coatings for High Power Laser Optics

Femtosecond Laser Damage Comparison between Silica/Hafnia Na...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： DeAngelis, Emma Noor, Mohamed Yaseen Weiss, Maxwell Menoni, Carmen Chowdhury, Enam Department of Materials Science and Engineering The Ohio State University 140 W 19th Ave Building 151 ColumbusOH43210 United States Electrical and Computer Engineering Department Colorado State University Fort CollinsCO80523 United States XUV Lasers Inc. Fort CollinsCO80525 United States

Two layer anti-reflection coatings (Air/SiO2/HfSiO/substrate. vs Air/SiO2/HfSiO2 nanolaminates/substrate) were tested with p-polarized 77 fs 1030 nm laser pulses. Damage threshold fluence of the sample with nanolamina... 详细信息

关键词： Femtosecond lasers

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