检索结果-内蒙古大学图书馆

Power Electronics and Control (SEPOC), Seminar on

作者： Nicole Polityto Cremasco Myriam Regattieri De Biase da Silva Delgado Jair Urbanetz Junior Luiz Ledo Mota Melo Jorge Assade Leludak Keiko Verônica Ono Fonseca Program of Post-Graduation of Electrical Engineering and Industrial Informatics(CPGEI) of Federal University of Technology of Paraná(UTFPR) Program of Post-Graduation of Electrical Engineering and Industrial Informatics(CPGEI) of the Federal University of Technology of Paraná(UTFPR) Program of Post-Graduation in Energy Systems of Federal University of Technology of Paraná(UTFPR Department of Electrical Engineering (DAELT)) Federal University of Technology of Paraná(UTFPR) Curitiba Brazil

Renewable energy sources have been increasingly targeted as an alternative for reducing fossil fuel emissions. This scenario requires a better understanding of energy systems' performance and limitations, notably using photovoltaic setups under diverse meteorological conditions and determining device measurement uncertainties. Accordingly, this study conducts a performance evaluation of a photovoltaic system of copper, indium, and gallium (di)selenide technology. It compares the results provided by a reference normalized equation with two interpretable artificial intelligence techniques, Fuzzy Inference System and Bayesian Networks, when temperature is also considered. In the experiments, the study found significant percentage differences between the normalization procedure and the fuzzy system on days with lower irradiation values. On the other hand, the results provided by Bayesian networks presented lower difference percentages in relation to the normalization equation values.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Alleviate sidewall damage of InGaN green micro-LEDs by atomic layer etching

引用

Optics letters 2025年第11期50卷 3756-3759页

作者： Zhiyuan Liu Haicheng Cao Tingang Liu Yi Lu Xiao Tang Zixian Jiang Na Xiao Xiaohang Li Advanced Semiconductor Laboratory Electrical and Computer Engineering Program CEMSE Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia

In this work, atomic layer etching (ALE) technology is demonstrated to alleviate the sidewall damage generated during the mesa etching process of InGaN micro-LEDs. TEM images verify the existence of the sidewall damage and its mitigation after 200-cycle ALE sidewall treatment. The defect-related leakage current density significantly decreases from 3 × 10 to 7 × 10 A/cm at -20 V bias through sidewall treatment. InGaN green micro-LEDs (11 µm) with ALE sidewall treatment show a more than 10% enhancement in external quantum efficiency compared to untreated reference devices. This work provides a new, to our knowledge, perspective on addressing the sidewall effect in micro-LEDs, aiding the realization of high-efficiency InGaN micro-LEDs in the near term.

关键词： Atomic force microscopy Indium gallium nitride Indium tin oxide Light extraction Quantum efficiency Surface layers

来源：评论

学校读者我要写书评

暂无评论

Radiation Pattern Characteristics Of 1x5 And 1x6 Planar Microstrip Antennas With Edge Weighting At A Frequency Of 2.6 Ghz

Radiation Pattern Characteristics Of 1x5 And 1x6 Planar Micr...

引用

Computer Science, Information technology and engineering (ICCoSITE), International Conference on

作者： Imelda Uli Vistalina Simanjuntak Trasma Yunita Chairunnisa Chairunnisa Adit Kurniawan School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia Electrical Engineering Study Program Mercu Buana University Jakarta Indonesia

One of the methods used to increase channel capacity is the Non-Orthogonal Multiple Access (NOMA) methods. The increase in channel capacity in PD-NOMA multiple access means that the maximum power used by each user in each narrow band achieves increased power efficiency. Therefore, this research focuses on facilitating the increase in channel capacity by designing an antenna that produces a radiation pattern with many sharp main lobes and high gain. The multi-beam radiation pattern is obtained by using edge weighting. Therefore the antenna is designed with odd and even numbers represented by 1x5 and 1x6 antennas on the microstrip patch rectangular antenna at a frequency of 2.6 GHz. The effect of parasitic and non-parasite effects on the radiation pattern of a planar antenna with edge modeling is manageable in the main lobe, only in the side level lobe, which is not too significant. However, the number of main lobes on the 1x6 antenna has seven beam patterns, and the 1x5 antenna has five. The highest gain value obtains in the 1x6 design with a parasitic of 6.01 dB. This value meets the Gain requirements for 5G cellular systems.

关键词： NOMA Channel capacity 5G mobile communication Microstrip antennas Planar arrays Brain modeling Microstrip

来源：评论

学校读者我要写书评

暂无评论

A Discontinuous Galerkin Time-Domain Scheme to Simulate Semiconductor Lasers

A Discontinuous Galerkin Time-Domain Scheme to Simulate Semi...

引用

European Conference on Antennas and Propagation, EuCAP

作者： Ming Dong Liang Chen Ran Zhao Hakan Bagci Electrical and Computer Engineering Program Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

A computational framework, which relies on the discontinuous Galerkin time-domain scheme, is proposed to simulate transient lasing generated by interactions of light with an active medium. The proposed scheme solves a coupled system of the Maxwell and the rate equations. The active medium inside the laser region is described quantum-mechanically by the rate equations to account for the atomic transitions of a multi-level system, while electromagnetic field interactions are described classically by the Maxwell equations. Numerical examples are provided to demonstrate the accuracy and the applicability of the proposed framework.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Performance Improvement of a-In-Ga-Sn-O Thin-Film Transistor with Oxygen Doping by Reactive Sputtering Method

引用

Journal of Electronic Materials 2024年第6期53卷 3063-3069页

作者： Liao, Tsung-I Chang, Sheng-Po Shi, Wen-Xiang Chang, Shoou-Jinn Chen, Jone-Fang Program on Semiconductor Manufacturing Technology Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng Kung University No. 1 University Rd. East Dist. Tainan City701 Taiwan Department of Microelectronics Engineering National Kaohsiung University of Science and Technology No. 142 Haizhuan Rd. Nanzi Dist. Kaohsiung City811 Taiwan Institute of Microelectronics and Department of Electrical Engineering National Cheng Kung University No. 1 University Rd. East Dist. Tainan City701 Taiwan

The thin film of indium gallium tin oxide (IGTO) was deposited by the RF magnetron sputtering system with different oxygen flow ratios, which controls the numbers of defects and free carriers to change the characteristics of thin-film transistors ((TFTs). We determined the subgap density-of-states (DOS) from the transfer characteristics curve by the unified subthreshold coupling factor technique to analyze the response of oxygen-related trap sites within the thin films fabricated under different oxygen flows. We used Python to fit the DOS data with a combination of two exponential forms, inferring that, during the increase in the oxygen flow ratio, acceptor-like oxygen-related trap sites can be gradually compensated. The IGTO TFTs exhibit optimized performance when subjected to annealing at 200 °C for 1 h with a 5% oxygen flow ratio, showing a threshold voltage (Vth) of 1.76 V, a field-effect mobility of 0.355 cm2/V s, an impressive on/off drain current ratio of 1.42 × 106, and a subthreshold swing (SS) of 0.665 V/decade. © The Minerals, Metals & Materials Society 2024.

关键词： Thin film transistors

来源：评论

学校读者我要写书评

暂无评论

2.3- μ m deep UV micro-LEDs fabricated by self-aligned selective thermal oxidation process

引用

Optics letters 2025年第11期50卷 3628-3631页

作者： Zhiyuan Liu Haicheng Cao Tingang Liu Patsy A Miranda Cortez Zixian Jiang Kexin Ren Na Xiao Yi Lu Xiao Tang Zuojian Pan Xiaohang Li Advanced Semiconductor Laboratory Electrical and Computer Engineering Program CEMSE Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia

Recently, techniques for fabricating micro-sized deep ultraviolet light-emitting diodes (DUV LEDs) have been gaining attention. In this work, we propose a selective thermal oxidation (STO) process to fabricate ultra-small DUV micro-LEDs. Annealed in the air at 900°C for 2 h, the p-layers without SiO protection are oxidized into insulating oxides, and oxygen penetrates into parts of the quantum wells. In contrast, the patterned SiO protects the LED structure in the pixel regions. Therefore, micro-LED pixels are formed by the patterned SiO and thermal oxidation process rather than the conventional reactive ion etching. The formed oxide in the unprotected region can function as the insulation layer between p-n electrodes. Meanwhile, the boundary between the pixel and the surrounding oxide is naturally formed during thermal oxidation, which is a "self-aligned" process. Dielectric deposition, precise lithography alignment, and aperture etching in the conventional process are no longer required in STO-based micro-LED fabrication, which reduces production complexity and cost. Based on the STO process, we have achieved 2.3-µm DUV micro-LED standalone pixels and arrays with a 270-nm emission wavelength. The standalone DUV micro-LED is possibly the smallest reported in the literature to date, which has a low-operation voltage of 4.9 and 6.75 V at 10 and 1000 A/cm. Meanwhile, the fabricated DUV micro-LED arrays show leakage current density 4 × 10 A/cm at -5 V and a peak EQE of 0.77% under unpackaged conditions. We hope this work provides a new insight into micro-LED fabrication and further promotes future performance growth of DUV LEDs.

关键词： Light emitting diodes Light extraction Lithography Multiple quantum wells Quantum wells Ultraviolet light emitting diodes

来源：评论

学校读者我要写书评

暂无评论

Exploring Shifted Domain Problem within MNIST Dataset

Exploring Shifted Domain Problem within MNIST Dataset

引用

2023 International Conference on Computer Science, Information technology and engineering, ICCoSITE 2023

作者： Hidayaturrahman Heryadi, Yaya Lukas Suparta, Wayan Arifin, Yulyani Bina Nusatara University BINUS Graduate Program - Computer Science Computer Science Department Jakarta11480 Indonesia Faculty of Engineering Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798350320954

Domain data can be shifted in any direction so it will be shared in different distributions to its original domain. This could be a problem since the model was trained with different distributions. It is found that adversarial domain adaptation using domain adversarial neural networks (DANN) can help to solve this problem on some scale. DANN can minimize the discrepancy between source and target data so the model can work well in both domains. The experiment is done by utilizing MNIST dataset that shifted into some conditions. In a condition when the shifting of distribution is too far, DANN is struggling to maintain the knowledge extracted from source data which leads to underperformance in the source and target domain. In contrast, when the shifting is closer, DANN can easily fit the model so it can perform well in both domains. It proves DANN is one of the good approaches to performing domain adaptation in small discrepancies. © 2023 IEEE.

关键词： Adversarial Domain Adaptation Domain Shifting Problem MNIST Transfer Learning

来源：评论

学校读者我要写书评

暂无评论

Applying convolutional neural network algorithm for classify a tomato species 18

Applying convolutional neural network algorithm for classify...

引用

18th International Conference on electrical engineering/Electronics, Computer, Telecommunications and Information technology, ECTI-CON 2021

作者： Kittisut, Parinya Ongkittikul, Surachai Mahanakorn University of Technology Faculty of Engineering and Technology The Electrical Engineering Graduate Program Bangkok Thailand Mahanakorn University of Technology Faculty of Engineering and Technology Bangkok Thailand

ISBN: (纸本)9780738111278

Tomatoes are one of the economic crops that make income into the country. The price of a tomato depends on its shape. However, the tomato species classification currently consumes the workforce, which lows classification rate and accuracy. This research aims to overcome that addressed limitation by applying the Convolutional Neural Network (CNN) algorithm for classifying a tomato species. The research methodology consisted of four main components;(1) collection tomato images of 3 sample species (holland tomato, sida tomato, and beef tomato) on three sides (topside, a slanted side, and a straight side), (2) image segmentation, (3) feature extraction about compactness, perimeter, area, radius, and standard deviation of radius, and (4) a tomato species classification using CNN algorithm. The tomato image collection and its characteristics (1, 800 images for all samples) develop a CNN classification method. As a result, the selected variables to classify Holland tomato are perimeter and area (95.65% accuracy). The selected variables to classify Sida tomato classify by compactness and radius (86.52% accuracy). The selected variables to classify Beef tomato are Radius and standard deviation of radius using to classify Beef tomato (95.14% accuracy). © 2021 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Investigating the Impact of Data Augmentation for Fine-Grained Grocery Product Classification Based on Vision Transformer

Investigating the Impact of Data Augmentation for Fine-Grain...

引用

2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing, AIRoSIP 2023

作者： Rahmania, Rissa Heryadi, Yaya Lukas, Lukas Suparta, Wayan Sonata, Ilvico Bina Nusantara University Binus Graduate Program Computer Science Computer Science Department Jakarta11480 Indonesia Faculty of Engineering Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798350327472

The existence of fine-grained image classification supporting smart retail provides effectiveness in recognizing products with high similarity. However, the generic classification method performs poorly in identifying products from a subordinate category. This paper aims to identify augmentation techniques to leverage the Vision Transformer (ViT) model to classify the fine-grained grocery product, which involves embedding patches and transformer encoders to extract the main features. First, we develop a fine-grained image dataset with ColorJitter, CutOut, and combining both augmentations. Secondly, we perform experiments and analysis of ViT size, embedded patch size and image size in the patch embedding process. Lastly, the ViT model are evaluated according to the image sizes 224, 384, and 512 in accuracy, loss, and confusion matrix. The highest accuracy was obtained at 0.9922. The ColorJitter and CutOut improved the confusion matrix in ViT-B/16 and ViT-L/16 with an image size of 384 and 512. The results show that both augmentations in the ViT model are able to distinguish fine-grained grocery products. © 2023 IEEE.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

A Time-Domain Thin-Sheet Volume Integral Equation for Non-Dispersive Bi-Isotropic Media

A Time-Domain Thin-Sheet Volume Integral Equation for Non-Di...

引用

European Conference on Antennas and Propagation, EuCAP

作者： S. Celis Sierra R. Zhao M. Khamitova H. Bagci Electrical and Computer Engineering (ECE) Program Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia School of Electronic Science and Engineering University of Electronic Science and Technology of China (UESTC) Chengdu China

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

Bi-isotropic and bi-anisotropic materials are expected to revolutionize wireless communications through the extended use of metasurfaces. This paper proposes a time-domain integral equation solver to simulate non-dispersive biisotropic materials under the thin-sheet approximation. Thin-sheet approximation is used to convert the time-domain volume integral equation for non-dispersive bi-isotropic media into a surface integral equation. This surface equation is discretized in space using Rao-Wilton-Glisson (RWG) basis functions for the tangential components of the electric and magnetic fluxes and pulse basis functions for their normal components (relative to the surface of the thin sheet). In time, shifted Lagrange polynomials are used for discretization. Applying Galerkin testing in space and point matching in time yields a matrix system. This matrix system is solved for the unknown basis expansion coefficients at each time step via time-marching. Numerical results demonstrate the accuracy of the proposed method. Future work includes extending this solver to dispersive bi-anisotropic media and use it in the simulation of metasurface represented by generalized sheet transition conditions (GSTCs).

关键词： Wireless communication Accuracy Integral equations Media Metasurfaces Polynomials Time-domain analysis Dispersion Method of moments Testing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：