检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Liu, Shang Liang, Yunfan Zhao, Haochen Eldose, Nirosh M. Bae, Jin-Hee Concepcion, Omar Jin, Xiaochen Chen, Shunda Bikmukhametov, Ilias Akey, Austin Cline, Cory T. Covian, Alejandra Cuervo Wang, Xiaoxin Li, Tianshu Zeng, Yuping Buca, Dan Yu, Shui-Qing Salamo, Gregory J. Zhang, Shengbai Liu, Jifeng Thayer School of Engineering Dartmouth College HanoverNH03755 United States Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute TroyNY12180 United States Department of Electrical and Computer Engineering University of Delaware NewarkDE19716 United States Institute for Nanoscience and Engineering University of Arkansas FayettevilleAR72701 United States Forschungszentrum Juelich Juelich52428 Germany Department of Civil and Environmental Engineering George Washington University WashingtonDC20052 United States Department of Metallurgical & Materials Engineering University of Alabama TuscaloosaAL35405 United States Center for Nanoscale Systems Harvard University CambridgeMA02138 United States Department of Electrical Engineering University of Arkansas FayettevilleAR72701 United States

Atomic short-range order (SRO) in direct-bandgap GeSn for infrared photonics has recently attracted attention due to its notable impact on band structures. However, the SRO in GeSn thin films grown by different methods have hardly been compared. This paper compares SRO in GeSn thin films of similar compositions grown by molecular beam epitaxy (MBE) and chemical vapor deposition (CVD) using atom probe tomography. An ∼15% stronger preference for Sn-Sn 1st nearest neighbor (1NN) is observed in MBE GeSn than CVD GeSn for both thin film and quantum well samples with Sn composition ranging from 7 to 20%. Interestingly, samples grown by different deposition tools under the same method (either MBE or CVD) showed remarkable consistency in Sn-Sn 1NN SRO, while MBE vs. CVD showed clear differences. Supported by theoretical modeling, we consider that this difference in SRO originates from the impact of surface termination, where MBE surfaces are exposed to ultrahigh vacuum while CVD surfaces are terminated by H to a good extent. This finding not only suggests engineering surface termination or surfactants during the growth as a potential approach to control SRO in GeSn, but also provides insight into the underlying reasons for very different growth temperature between MBE and CVD that directly impact the strain relaxation behavior. Copyright © 2024, The Authors. All rights reserved.

关键词： Molecular beam epitaxy

来源：评论

学校读者我要写书评

暂无评论

Randomized probe imaging through deep K-learning

Randomized probe imaging through deep K-learning

引用

Computational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and applied Optics Congress 2021

作者： Guo, Zhen Levitan, Abraham Barbastathis, George Comin, Riccardo Department of Electrical Engineering and Computer Science MIT CambridgeMA02139 United States Department of Physics MIT CambridgeMA02139 United States Department of Mechanical Engineering MIT CambridgeMA02139 United States

Iterative phase retrieval algorithms are time-consuming. To accelerate reconstructions for Randomized Probe Imaging (RPI), we propose deep k-learning, a neural network with attention to frequency. The associated compu... 详细信息

ISBN: (纸本)9781557528209

关键词： Probes

来源：评论

学校读者我要写书评

暂无评论

Recent Advancements in Maximum Power Point Tracking with Hill Climbing Method for a PV System: A Review

引用

applied Solar Energy (English translation of Geliotekhnika) 2023年第4期59卷 378-399页

作者： Nzoundja Fapi, Claude Bertin Tchakounté, Hyacinthe Tchatchueng, Fabrice Tsegaing Wira, Patrice Louzazni, Mohamed Kamta, Martin IUT of Mulhouse University of Haute Alsace Mulhouse68200 France Ecole Centrale de Nantes Nantes Université Nantes44300 France University of Ngaoundere NgaoundereP.O. Box 455 Cameroon Department of Physics Faculty of Science University of Yaoundé I P.O. Box 812 Yaoundé Cameroon Department of Electrical Engineering IUT of Ngaoundéré University of Ngaoundéré NgaoundéréP.O. Box: 455 Cameroon National School of Applied Sciences Chouaib Doukkali University of El Jadida El Jadida Morocco

Abstract: Increasing the efficiency of photovoltaic (PV) solar panels is more and more the quest of many scientists because it is renewable and non-polluting energy. For this purpose, various methods and techniques are used, among which is the Maximum Power Point Tracking (MPPT) method, which has a certain interest because it does not require additional mechanical devices. One of the most used MPPT methods is the Hill Climbing (HC) method which has known a lot of evolution with time. The objective of this work is to scrutinize and present a comprehensive review of the improved Hill Climbing algorithms for tracking the Maximum Power Point (MPP) in PV systems. In-depth descriptions of the many HC techniques, including their algorithms, tracking effectiveness, modeling, mathematical equations, software, and hardware implementations, as well as the most current advancements in the field, are presented in this review study. After this investigation one can conclude that HC MPPT still has good interest and newer improvements are soon to arise. © 2023, Allerton Press, Inc.

关键词： Solar panels

来源：评论

学校读者我要写书评

暂无评论

Surface acoustic wave effect on magnetic domain wall dynamics

引用

Physical Review B 2023年第10期108卷 104420-104420页

作者： Jintao Shuai Luis Lopez-Diaz John E. Cunningham Thomas A. Moore School of Physics and Astronomy University of Leeds Leeds LS2 9JT United Kingdom Department of Applied Physics Universidad de Salamanca Salamanca E-37008 Spain School of Electronic and Electrical Engineering University of Leeds Leeds LS2 9JT United Kingdom

Surface acoustic waves (SAWs) have significant potential for the energy-efficient control of magnetic domain walls (DWs). This study investigates the influence of SAW frequency (50, 100, and 200 MHz) on DW dynamics in magnetic thin films. Micromagnetic simulations are performed to examine the effects of SAWs on DW velocity. The results demonstrate that SAWs enhance DW motion by promoting the depinning of DWs from pinning sites through SAW-induced spin rotation. This spin rotation exhibits the same frequency as the applied SAWs. The impact of SAW frequency varies depending on the level of anisotropy disorder in thin films. In films with 3% anisotropy disorder, the DW velocity increases with SAW frequency, highlighting the amplifying effect of spin rotation and enhanced DW depinning. Conversely, in thin films with 1% anisotropy disorder, the DW velocity decreases with SAW frequency owing to significant SAW-induced energy dissipation via spin rotation. These findings underscore the intricate interplay between SAWs, spin rotation, and DW dynamics, emphasizing the role of anisotropy disorder in governing the response of DWs to SAWs. The study contributes to the understanding of SAW-assisted DW motion and provides insights into the optimization of and energy-efficient control of DWs in spintronic applications using SAWs.

关键词： Domain wall motion Domain walls Magnetism Micromagnetism Micromagnetic modeling Surface acoustic wave

来源：评论

学校读者我要写书评

暂无评论

In Silico Demonstrations of the Impact of Wavelength and Skin Tone on Photoacoustic Breast Imaging

In Silico Demonstrations of the Impact of Wavelength and Ski...

引用

IEEE Symposium (IUS) Ultrasonics

作者： Guilherme S. P. Fernandes Theo Z. Pavan Muyinatu A. Lediju Bell Department of Physics FFCLRP University of Sao Paulo Brazil Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD United States Department of Biomedical Engineering Johns Hopkins University Baltimore MD United States Department of Computer Science Johns Hopkins University Baltimore MD United States

Breast photoacoustic imaging is an emerging clinical application that requires non-invasive illumination through skin. However, the melanin content of skin can introduce unwanted acoustic clutter, thereby compromising target visibility and overall image quality, which presents a significant challenge when considering the wide range of skin tones that are expected to benefit from access to the technology. To quantify the impact of this challenge, we conducted a series of multidomain photoacoustic simulations using five optical wavelengths, 18 skin constitutive pigmentations, and a previously validated 3D breast model. Three scenarios were considered: (i) the baseline scenario, in which a photoacoustic target was surrounded by breast tissue and covered by a layer of skin; (ii) the baseline scenario with the skin layer removed; and (iii) the baseline scenario with the photoacoustic target removed. Clutter levels ranged -11 dB to 11 dB with the baseline scenario. When skin was removed, this clutter was reduced by up to 39 dB and the associated target contrast improved by up to 39 dB relative to the baseline scenario, confirming skin as the primary source of clutter. When the target was removed, clutter decreased by less than 2.7 dB relative to the baseline scenario, indicating minimal to nonexistent clutter contributions from scattering due to the presence of the photoacoustic target. Future work will investigate novel system designs and protocols for patient-specific photoacoustic imaging system customizations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection

Quantum-Trained Convolutional Neural Network for Deepfake Au...

引用

Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on

作者： Chu-Hsuan Abraham Lin Chen-Yu Liu Samuel Yen-Chi Chen Kuan-Cheng Chen Centre for Quantum Engineering Science and Technology (QuEST) Imperial College London London UK Department of Electrical and Electronic Engineering Imperial College London London UK Graduate Institute of Applied Physics National Taiwan University Taipei Taiwan Wells Fargo New York NY USA

ISBN: (数字)9798331519315

ISBN: (纸本)9798331519322

The rise of deepfake technologies has posed significant challenges to privacy, security, and information integrity, particularly in audio and multimedia content. This paper introduces a Quantum-Trained Convolutional Neural Network (QT-CNN) framework designed to enhance the detection of deepfake audio, leveraging the computational power of quantum machine learning (QML). The QT-CNN employs a hybrid quantum-classical approach, integrating Quantum Neural Networks (QNNs) with classical neural architectures to optimize training efficiency while reducing the number of trainable parameters. Our method incorporates a novel quantum-to-classical parameter mapping that effectively utilizes quantum states to enhance the expressive power of the model, achieving up to 70% parameter reduction compared to classical models without compromising accuracy. Data pre-processing involved extracting essential audio features, label encoding, feature scaling, and constructing sequential datasets for robust model evaluation. Experimental results demonstrate that the QT-CNN achieves comparable performance to traditional CNNs, maintaining high accuracy during training and testing phases across varying configurations of QNN blocks. The QT framework’s ability to reduce computational overhead while maintaining performance underscores its potential for real-world applications in deepfake detection and other resource-constrained scenarios. This work highlights the practical benefits of integrating quantum computing into artificial intelligence, offering a scalable and efficient approach to advancing deepfake detection technologies.

关键词： Training Deepfakes Quantum computing Accuracy Neural networks Signal processing Feature extraction Convolutional neural networks Speech processing Testing

来源：评论

学校读者我要写书评

暂无评论

Arbitrary Electro-Optic Bandwidth and Frequency Control in Lithium Niobate Optical Resonators

Arbitrary Electro-Optic Bandwidth and Frequency Control in L...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Jason F. Herrmann Devin J. Dean Christopher J. Sarabalis Vahid Ansari Kevin Multani Timothy P. McKenna Jeremy D. Witmer Amir H. Safavi-Naeini Department of Applied Physics E.L. Ginzton Laboratory Stanford University Stanford CA USA Department of Electrical Engineering E.L. Ginzton Laboratory Stanford University Stanford CA USA

We achieve 20x in-situ tuning contrast of bandwidth and resonant frequency in lithium niobate optical resonators. We present a general model to obtain the detuning and bandwidth of optical frequencies in this photonic... 详细信息

ISBN: (纸本)9781957171258

关键词： Fano resonance Genetic algorithms Lithium niobate Optical resonators Phase shift Ring resonators

来源：评论

学校读者我要写书评

暂无评论

Subgradient-Push Is of the Optimal Convergence Rate

arXiv

引用

arXiv 2022年

作者： Lin, Yixuan Liu, Ji The Department of Applied Mathematics and Statistics Stony Brook University United States The Department of Electrical and Computer Engineering Stony Brook University United States

The push-sum based subgradient is an important method for distributed convex optimization over unbalanced directed graphs, which is known to converge at a rate of O(ln t/√t). This paper shows that the subgradient-push algorithm actually converges at a rate of O(1/√t), which is the same as that of the single-agent subgradient and thus optimal. The proposed tool for analyzing push-sum based algorithms is of independent interest. Copyright © 2022, The Authors. All rights reserved.

关键词： Directed graphs

来源：评论

学校读者我要写书评

暂无评论

Pioneering Privacy-First Approaches in IoT Healthcare with Secure Wearable Monitoring Systems

Pioneering Privacy-First Approaches in IoT Healthcare with S...

引用

Intelligent Control, Computing and Communications (IC3), International Conference on

作者： Rusul Najm Neeta Awasthy E.N.Vijaya Kumari Sorabh Lakhannal Tarunika Sharma Anurag Singh Bh. Prashanthi Radiology Techniques Department College of Medical Technology The Islamic University Najaf Iraq Department of Computer Science and Engineering GL Bajaj Group of Institutions Mathura U.P. India Department of Computer Science and Engineering MLR Institute of Technology Hyderabad Telangana India Lovely Professional University Phagwara India Department of Applied Sciences New Horizon College of Engineering Bangalore India Department of Electrical Electronics & Communication Engineering Galgotias university Gerater Noida Uttar Pradesh India Department of CSE GRIET Hyderabad Telangana India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

In the world of IoT healthcare right now, protecting the privacy of patients' medical data collected by wearable tracking devices is an urgent and important issue. It is very important that this condition be met. The Secure Health Data Aggregation and Homomorphic Encryption (SHAHE) method is being thought about as a possible alternative while this investigation is going on. We thought about the need for processing, data collection, and access control as we worked on the SHAHE approach. We can fully reach this goal by using homomorphic cryptography and safe aggregation methods. The main goal of the program is to protect people's privacy by making data value analysis better and reducing unauthorized access to important health information. This is the reason why the program was made.

关键词： Access control Data privacy Privacy Process control Medical services Data aggregation Biomedical monitoring Homomorphic encryption Wearable devices Monitoring

来源：评论

学校读者我要写书评

暂无评论

On Distributed Exact Sparse Linear Regression over Networks

arXiv

引用

arXiv 2022年

作者： Anh-Nguyen, Tu Uribe, César A. The Department of Computational and Applied Mathematics Rice University TX United States The Department of Electrical and Computer Engineering Rice University TX United States

In this work, we propose an algorithm for solving exact sparse linear regression problems over a network in a distributed manner. Particularly, we consider the problem where data is stored among different computers or agents that seek to collaboratively find a common regressor with a specified sparsity k, i.e., the L0-norm is less than or equal to k. Contrary to existing literature that uses L1regularization to approximate sparseness, we solve the problem with exact sparsity k. The main novelty in our proposal lies in showing a problem formulation with zero duality gap for which we adopt a dual approach to solve the problem in a decentralized way. This sets a foundational approach for the study of distributed optimization with explicit sparsity constraints. We show theoretically and empirically that, under appropriate assumptions, where each agent solves smaller and local integer programming problems, all agents will eventually reach a consensus on the same sparse optimal regressor. © 2022, CC BY.

关键词： Integer programming

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：