检索结果-内蒙古大学图书馆

arXiv 2022年

作者： Cardoso, M. Jorge Li, Wenqi Brown, Richard Ma, Nic Kerfoot, Eric Wang, Yiheng Murrey, Benjamin Myronenko, Andriy Zhao, Can Yang, Dong Nath, Vishwesh He, Yufan Xu, Ziyue Hatamizadeh, Ali Zhu, Wentao Liu, Yun Zheng, Mingxin Tang, Yucheng Yang, Isaac Zephyr, Michael Hashemian, Behrooz Alle, Sachidanand Darestani, Mohammad Zalbagi Budd, Charlie Modat, Marc Vercauteren, Tom Wang, Guotai Li, Yiwen Hu, Yipeng Fu, Yunguan Gorman, Benjamin Johnson, Hans Genereaux, Brad Erdal, Barbaros S. Gupta, Vikash Diaz-Pinto, Andres Dourson, Andre Maier-Hein, Lena Jaeger, Paul F. Baumgartner, Michael Kalpathy-Cramer, Jayashree Flores, Mona Kirby, Justin Cooper, Lee A.D. Roth, Holger R. Xu, Daguang Bericat, David Floca, Ralf Zhou, S. Kevin Shuaib, Haris Farahani, Keyvan Maier-Hein, Klaus H. Aylward, Stephen Dogra, Prerna Ourselin, Sebastien Feng, Andrew School of Biomedical Engineering & Imaging Sciences King’s College London London United Kingdom NVIDIA Corporation Santa Clara and Bethesda United States School of Electrical and Computer Engineering Rice University Houston United States Department of Engineering Science University of Oxford Oxford United Kingdom Department of Medical Physics and Biomedical Engineering University College London London United Kingdom Department of BioAI InstaDeep Ltd London United Kingdom Department of Electrical & Computer Engineering University of Iowa Iowa City United States Mayo Clinic Jacksonville United States Mars Incorporated United States Div. Intelligent Medical Systems German Cancer Research Center Heidelberg Germany Division of Medical Image Computing German Cancer Research Center Heidelberg Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany School of Biomedical Engineering Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou China Department of Medical Physics Guy’s & St Thomas’ NHS Foundation Trust London United Kingdom National Cancer Institute Bethesda United States Kitware Inc. Clifton Park United States Department of Ophthalmology University of Colorado Aurora United States Frederick National Laboratory for Cancer Research Frederick United States Department of Pathology Northwestern University Chicago United States

Artificial Intelligence (AI) is having a tremendous impact across most areas of science. Applications of AI in healthcare have the potential to improve our ability to detect, diagnose, prognose, and intervene on human disease. For AI models to be used clinically, they need to be made safe, reproducible and robust, and the underlying software framework must be aware of the particularities (e.g. geometry, physiology, physics) of medical data being processed. This work introduces MONAI, a freely available, community-supported, and consortium-led PyTorch-based framework for deep learning in healthcare. MONAI extends PyTorch to support medical data, with a particular focus on imaging, and provide purpose-specific AI model architectures, transformations and utilities that streamline the development and deployment of medical AI models. MONAI follows best practices for software-development, providing an easy-to-use, robust, well-documented, and well-tested software framework. MONAI preserves the simple, additive, and compositional approach of its underlying PyTorch libraries. MONAI is being used by and receiving contributions from research, clinical and industrial teams from around the world, who are pursuing applications spanning nearly every aspect of healthcare. © 2022, CC BY.

关键词： Clinical research

来源：评论

学校读者我要写书评

暂无评论

Dielectric resonator antenna coupled antimonide-based detectors (DRACAD) for the infrared

arXiv

引用

arXiv 2020年

作者： Budhu, Jordan Pfiester, Nicole Choi, Kwong-Kit Young, Steve Ball, Chris Krishna, Sanjay Grbic, Anthony Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States Department of Electrical and Computer Engineering The Ohio State University ColumbusOH43210 United States Science Systems and Applications Inc. LanhamMD20706 United States ElectroScience Laboratory The Ohio State University ColumbusOH43212 United States

In an infrared photodetector, noise current (dark current) is generated throughout the volume of the detector. Reducing the volume will reduce dark current, but the corresponding smaller area will also reduce the received signal. By using a separate antenna to receive light, one can reduce the detector area without reducing the signal, thereby increasing its signal to noise ratio (SNR). Here, we present a dielectric resonator antenna (DRA) coupled infrared photodetector. Its performance is compared to a conventional resonant cavity enhanced slab detector. The Noise Equivalent Power (NEP) is used as a figure of merit for the comparison. Formulas for the NEP are derived for both cases. A pBp photodiode detector is assumed in the comparison. The active region of the photodiode is an InAs/GaSb Type II Superlattice (T2SL). A Genetic Algorithm is used to optimize the dimensions of the detector and the DRA to achieve the smallest NEP. The result is a photodetector that converts over 85% of the incident light into carriers with a volume reduced by 95%. This optimal geometry leads to a NEP reduced by 6.02dB over that of the conventional resonant cavity enhanced slab detector. Copyright © 2020, The Authors. All rights reserved.

关键词： Infrared detectors

来源：评论

学校读者我要写书评

暂无评论

LSTM-Based Channel Prediction for Secure Massive MIMO Communications Under Imperfect CSI

LSTM-Based Channel Prediction for Secure Massive MIMO Commun...

引用

IEEE International Conference on Communications (ICC)

作者： Tenghui Peng Rongqing Zhang Xiang Cheng Liuqing Yang School of Software Engineering Tongji University Shanghai China State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China Department of Electrical and Computer Engineering Colorado State University CO USA

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

In recent years, massive multiple-input multiple-output (MIMO) has been regarded as a promising technique in the fifth-generation (5G) communication systems. With the ability of focusing transmission beams on users, massive MIMO has a natural advantage in the field of physical layer security to improve the system secrecy performance. However, in practical mobile systems, the imperfect channel state information (CSI) caused by the channel estimation error and the transmission and processing delay will have a non-negligible impact on the system performance. In this paper, we investigate secure communications in a multi-user massive MIMO-enabled vehicular communication networks. Considering the influence of imperfect CSI on the secrecy performance, we derive a tight asymptotic lower bound of the system secrecy capacity under both perfect and imperfect CSI. Moreover, we further analyze the impact of vehicle speed on the system secrecy performance and propose a channel prediction scheme based on (Long Short-Term Memory) LSTM model to compensate for the negative effects of imperfect CSI, which can improve the system secrecy performance in high mobility scenario. Simulation results show that the imperfect CSI severely reduces the system secrecy capacity, but its negative effects can be effectively alleviated through the designed LSTM-based channel prediction and compensation scheme.

关键词： MIMO communication Channel estimation Precoding Interference Network security Physical layer Antennas

来源：评论

学校读者我要写书评

暂无评论

Modelling of variable-speed refrigeration for fast-frequency control in low-inertia systems

arXiv

引用

arXiv 2020年

作者： Vorwerk, Johanna Markovic, Uros Aristidou, Petros Vrettos, Evangelos Hug, Gabriela Power Systems Laboratory ETH ZÃijrich Physikstrasse 3 ZÃijrich8092 Switzerland Department of Electrical Engineering Computer Engineering and Informatics Cyprus University of Technology Grid Integration Group Lawrence Berkeley National Lab

In modern power systems, shiftable loads contribute to the flexibility needed to increase robustness and ensure security. Thermal loads are among the most promising candidates for providing such service due to the large thermal storage time constants. This paper demonstrates the use of Variable-Speed Refrigeration (VSR) technology, based on brushless DC motors, for fast-frequency response. First, we derive a detailed dynamic model of a single-phase VSR unit suitable for time-domain and small-signal stability analysis in low-inertia systems. For analysing dynamic interactions with the grid, we consider the aggregated response of multiple devices. However, the high computational cost involved in analysing large-scale systems leads to the need for reduced-order models. Thus, a set of reduced-order models is derived though transfer function fitting of data obtained from time-domain simulations of the detailed model. The modelling requirements and the accuracy versus computational complexity trade-off are discussed. Finally, the time-domain performance and frequency-domain analyses reveal substantial equivalence between the full- and suitable reduced-order models, allowing the application of simplified models in large-scale system studies. Copyright © 2020, The Authors. All rights reserved.

关键词： Large scale systems

来源：评论

学校读者我要写书评

暂无评论

Machine learning approaches for estimating building energy consumption

Machine learning approaches for estimating building energy c...

引用

作者： Liangyu Liu Ningyi Liu Yilin Zhang Yumeng Li Xiaobo Rui Zi Yang Department of electrical and computer engineering The Ohio State University Department of statistics The Ohio State University Department of integrated systems engineering The Ohio State University State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Department of materials science and engineering The Ohio State University

Using building data and corresponding weather conditions provided by ASHRAE, a statistical method that carefully measures features and applies both linear regression and gradient boosting machine models to predict and analyse building energy consumption was developed. Comparison of the predicted and actual energy usage indicates our model can predict energy consumption within an acceptable error range. Such statistical model has the potential to be widely used to monitor energy consumption and measure energy savings for various kinds of buildings in the future. If additional data is available, this method will be more widely applicable to other sectors such as industrial facilities.

关键词： Machine learning approaches for estimating building energy consumption

来源：评论

学校读者我要写书评

暂无评论

Quantum Software engineering: Roadmap and Challenges Ahead

引用

ACM Transactions on Software engineering and Methodology 2025年第5期34卷

作者： Murillo, Juan Manuel Garcia-Alonso, Jose Moguel, Enrique Barzen, Johanna Leymann, Frank Ali, Shaukat Yue, Tao Arcaini, Paolo Pérez-Castillo, Ricardo de Guzmán, Ignacio García-Rodríguez Piattini, Mario Ruiz-Cortés, Antonio Brogi, Antonio Zhao, Jianjun Miranskyy, Andriy Wimmer, Manuel University of Extremadura Cáceres Spain University of Stuttgart Stuttgart Germany Simula Research Laboratory Oslo Norway and Computer Science Oslo Metropolitan University Oslo Norway Computer Science and Engineering Beihang University Beijing China National Institute of Informatics Chiyoda-ku Japan Faculty of Social Sciences and Information Technologies University of Castilla-La Mancha Talavera de la Reina Spain Institute of Technologies and Information Systems University of Castilla-La Mancha Ciudad Real Spain University of Castilla-La Mancha Ciudad Real Spain Computer Languages and Systems University of Seville Seville Spain Department of Computer Science University of Pisa Pisa Italy Faculty of Information Science and Electrical Engineering Kyushu University Fukuoka Japan Toronto Metropolitan University Toronto ON Canada Johannes Kepler University Linz Linz Austria

As quantum computers advance, the complexity of the software they can execute increases as well. To ensure this software is efficient, maintainable, reusable, and cost-effective—key qualities of any industry-grade software—mature software engineering practices must be applied throughout its design, development, and operation. However, the significant differences between classical and quantum software make it challenging to directly apply classical software engineering methods to quantum systems. This challenge has led to the emergence of Quantum Software engineering (QSE) as a distinct field within the broader software engineering landscape. In this work, a group of active researchers analyze in depth the current state of QSE research. From this analysis, the key areas of QSE are identified and explored in order to determine the most relevant open challenges that should be addressed in the next years. These challenges help identify necessary breakthroughs and future research directions for advancing QSE. © 2025 Copyright held by the owner/author(s).

关键词： open challenges QSE Quantum Computing Quantum Software engineering

来源：评论

学校读者我要写书评

暂无评论

A perspective on meta-boundaries

arXiv

引用

arXiv 2022年

作者： Zhang, Xinyan Chen, Jialin Chen, Ruoxi Wang, Chan Cai, Tong Chen, Hongsheng Lin, Xiao Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou310027 China International Joint Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang The Electromagnetics Academy Zhejiang University Zhejiang University Haining314400 China Department of Electrical and Computer Engineering Technion-Israel Institute of Technology Haifa32000 Israel Air and Missile Defense College Air Force Engineering University Xi’an710051 China

The judicious design of electromagnetic boundary provides a crucial route to control light-matter interactions, and it is thus fundamental to basic science and practical applications. General design approaches rely on the manipulation of bulk properties of superstrate or substrate and on the modification of boundary geometries. Due to the recent advent of metasurfaces and low-dimensional materials, the boundary can be flexibly featured with a surface conductivity, which can be rather complex but provide an extra degree of freedom to regulate the propagation of light. In this perspective, we denote the boundary with a non-zero surface conductivity as the meta-boundary. The meta-boundaries are categorized into four types, namely isotropic, anisotropic, biisotropic and bianisotropic meta-boundaries, according to the electromagnetic boundary conditions. Accordingly, the latest development for these four kinds of meta-boundaries are reviewed. Finally, an outlook on the research tendency of meta-boundaries is provided, particularly on the manipulation of light-matter interactions by simultaneously exploiting meta-boundaries and metamaterials. © 2022, CC BY.

关键词： Degrees of freedom (mechanics)

来源：评论

学校读者我要写书评

暂无评论

Emerging chiral optics from chiral interfaces

引用

Physical Review B 2021年第19期103卷 195405-195405页

作者： Xinyan Zhang Yuhan Zhong Tony Low Hongsheng Chen Xiao Lin Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou 310027 China International Joint Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang The Electromagnetics Academy at Zhejiang University Zhejiang University Haining 314400 China Department of Electrical and Computer Engineering University of Minnesota Minneapolis Minnesota 55455 USA

Twisted atomic bilayers are emerging platforms for manipulating chiral light-matter interaction at the extreme nanoscale, due to their inherent magnetoelectric responses induced by the finite twist angle and quantum interlayer coupling between the atomic layers. Recent studies have reported the direct correspondence between twisted atomic bilayers and chiral metasurfaces, which features a chiral surface conductivity, in addition to the electric and magnetic surface conductivities. However, far-field chiral optics in light of these constitutive conductivities remains unexplored. Within the framework of the full Maxwell equations, we find that the chiral surface conductivity can be exploited to realize perfect polarization transformation between linearly polarized light. Remarkably, such an exotic chiral phenomenon can occur either for the reflected or transmitted light. Moreover, we reveal that all transmitted light through the judiciously designed chiral surface conductivity can always have the polarization different from the incident light, irrespective of the incident angle.

关键词： Electromagnetism Extraordinary optical transmission Light-matter interaction Refraction

来源：评论

学校读者我要写书评

暂无评论

How much information is needed in quantized nonlinear control?

引用

Science China(Information Sciences) 2018年第9期61卷 205-217页

作者： Chuang ZHENG Lin LI Leyi WANG Chanying LI School of Mathematical Sciences Beijing Normal University Department of Electrical and Computer Engineering Wayne State University Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences

Quantization rate is a crucial measure of complexity in determining stabilizability of control systems subject to quantized state measurements. This paper investigates quantization complexity for a class of nonlinear systems which are subjected to disturbances of unknown statistics and unknown bounds. This class of systems includes linear stablizable systems as special cases. Two lower bounds on the quantization rates are derived which guarantee input-to-state stabilizability for continuous-time and sampled-data feedback strategies, respectively. Simulation examples are provided to validate the results.

关键词： nonlinear systems disturbances input-to-state stabilizability sampled systems quantization rate

来源：评论

学校读者我要写书评

暂无评论

Accelerating NATO Transformation with SnTEE: Experiments with Network Security Function Virtualization in Coalition Networks

Accelerating NATO Transformation with SnTEE: Experiments wit...

引用

International Conference on Military Communications and Information systems (ICMCIS)

作者： Roberto Rigolin F. Lopes Johannes F. Loevenich Konrad Wrona Paulo H. L. Rettore Jerry Falkcrona Joseph Mathews Nils Nordbotten Bogdan Vasilache Thorsten Lampe Olwen L. Worthington Juha Röning Secure Communications & Information (SIX) Thales Deutschland Ditzingen Germany Department of Mathematics/Computer Science University of Osnabrück Osnabrück Germany NATO Cyber Security Centre The Hague Netherlands Military University of Technology Warsaw Poland Communication Systems (KOM) Fraunhofer FKIE Bonn Germany Cyber Defence and C2 Technology Swedish Defence Research Agency Linköping Sweden Information Technology Division U.S. Naval Research Laboratory Washington DC USA Thales Norway Oslo Norway WonderBit B.V. Almere The Netherlands Defence Science and Technology Laboratory (Dstl) UK Ministry of Defence London United Kingdom Information Technology and Electrical Engineering University of Oulu Oulu Finland

This paper introduces a virtual laboratory for experiments with cybersecurity functions in coalition networks. The motivation comes from the NATO Allied Command Transformation (ACT) initiative on Science and Technology Experimentation Environment (SnTEE), which supports the transfer of scientific and technical activities carried out by the NATO Science and Technology Organization (STO) research task groups towards NATO operations. The goal of the experiments reported in this paper is to emulate a network topology inspired by Protected Core Networking (PCN), which defines two interfaces. One interface between two protected core segments, from different nations, and another interface between a protected core segment and a colored cloud within a particular nation. The experiments are intended to support the investigation performed by the STO IST-196 RTG on Cyber Security in Virtualized Networks. In particular, the starting hypothesis of IST-196 is that security function virtualization can support/speedup PCN topology changes when links are added/removed. We define our experimental setup as Infrastructure as Code (IaC) and introduce experiments that emulate topology changes. We also sketch a solution for the deployment of two chains of virtualized cybersecurity functions at lower protocol layers (physical and IP) and at higher protocol layers (transport and application). This paper also lists future experiments for the NATO SnTEE lab, namely risk-aware routing, cross-layer enforcement of policies, information exchange functions, and federate monitoring and detection of cyber incidents/attacks.

关键词：

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：