检索结果-内蒙古大学图书馆

arXiv 2023年

作者： Wang, Hanwei Yu, Joshua Ye, Xiaodong Chen, Yun-Sheng Zhao, Yang Nick Holonyak Micro and Nanotechnology Laboratory The Electrical and Computer Engineering Department University of Illinois at Urbana-Champaign Urbana61801 United States The Electrical and Computer Engineering Department University of Illinois at Urbana-Champaign Urbana61801 United States The Beckman Institute for Advanced Science and Technology The Electrical and Computer Engineering Department University of Illinois at Urbana-Champaign Urbana61801 United States

Free-positioning and multi-user supportive wireless power transfer systems represent the next-generation technology for wireless charging under the Qi standard. Traditional approaches employ multiple transmitting coils and multi-channel driving circuits with active control algorithms to achieve these goals. However, these traditional approaches are significantly limited by cost, weight, and heating due to their relatively low efficiency. Here, we demonstrate an innovative approach by using a metasurface to achieve free-positioning and multi-user compatibility. The metasurface works as a passive device to reform the magnetic field and enables high-efficiency free-positioning wireless power transfer with only a single transmitting coil. It shows up to 4.6 times improvement in efficiency. The metasurface also increases the coverage area from around 5 cm by 5 cm with over 40% efficiency to around 10 cm by 10 cm with over 70% efficiency. We further show that the system can support multiple receivers. Besides increasing the overall efficiency, we demonstrate tuning the power division between the multiple receivers, enabling compensation of receivers of different sizes to achieve their desired power. © 2023, CC BY.

关键词： Efficiency

来源：评论

学校读者我要写书评

暂无评论

Predicting Microsatellite Instability from Histology Images with Dilated Neighborhood Attention Transformer in Colorectal Cancer 24

Predicting Microsatellite Instability from Histology Images ...

引用

24th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2024

作者： Chen, Yun-Chi Chao, Tung Phandita, Wimaya Nitya Sun, Tzu-Yu Wang, Huai-Zhi Hsieh, Yi-Hsien Hsu, Le-Yin Lin, Che Taipei Taiwan College of Bioresources and Agriculture NTU Taipei Taiwan National Taiwan University of Science and Technology Department of Computer Science and Information Engineering Taipei Taiwan Graduate Institute of Communication Engineering NTU Taipei Taiwan NTU Data Science Degree Program Taipei Taiwan NTU Department of Electrical Engineering Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine NTU Taipei Taiwan NTU Smart Medicine and Health Informatics Program Taipei Taiwan

ISBN: (纸本)9798331518622

Microsatellite instability (MSI) is a pivotal genetic marker influencing the efficacy of immunotherapy in colorectal cancer. Traditional MSI examination often requires additional genetic or immunohistochemical tests, whereas histology images, widely available in colorectal cancer diagnosis, offer a valuable alternative for MSI prediction. Although Transformer-based models have demonstrated promising outcomes in predicting MSI from histology images, they are hampered by traditional local attention mechanisms that struggle to capture long-range interdependencies and establish a comprehensive global receptive field. In this study, we introduce DiNAT-MSI, a novel framework for histology-based MSI prediction that incorporates the Dilated Neighborhood Attention Transformer (DiNAT). This model enhances global context recognition and substantially expands receptive fields, all without additional computational burden. Our results demonstrate that DiNAT-MSI achieves a superior patientwise AUROC compared to ResNet18 and Swin Transformer, along with commendable explainability. Our work not only illustrates a more accessible diagnostic tool for leveraging histological data but also underscores the potential of Transformerbased models with sophisticated attention designs in advancing precision medicine for colorectal cancer patients. © 2024 IEEE.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

Privacy-Preserving Federated Learning through Clustered Sampling on Fine-Tuning Distributed non-iid Large Language Models

Privacy-Preserving Federated Learning through Clustered Samp...

引用

IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Sheng Yun Zakirul Alam Bhuiyan Md. Taufiq Al Hasib Sadi Shen Su Department of Computer and Information Sciences Fordham University New York USA Department of Electrical & Computer Engineering North South University Dhaka Bangladesh Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou China

Recently, Large Language Models (LLMs) have been a phenomenal trend in the Artificial intelligence field. However, training and fine-tuning can be challenging because of privacy concerns and limited computing resources. Federated Learning (FL) has emerged as a novel machine learning framework offering privacy protection. The challenges in applying FL to real-world applications include dealing with heterogeneous data, poor client updates, and client selection. This paper introduces Privacy-preserving Federated Learning through Clustered Sampling on LLMs (FCLM), a framework that clusters models by their distribution similarity. It helps the model group similar models to improve text data heterogeneity handling and privacy concerns in distributed machine-learning environments. The FCLM framework is implemented and evaluated using popular Language models and text data. The framework shows a robust performance over the heterogeneous text data, which can further extend to the use of more complex LLMs.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Stable Symmetry-Protected Topological Phases in Systems with Heralded Noise

arXiv

引用

arXiv 2024年

作者： Chirame, Sanket Burnell, Fiona J. Gopalakrishnan, Sarang Prem, Abhinav School of Physics and Astronomy University of Minnesota MinneapolisMN55455 United States Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States School of Natural Sciences Institute for Advanced Study PrincetonNJ08540 United States

We present a family of local quantum channels whose steady-states exhibit stable mixed-state symmetry-protected topological (SPT) order. Motivated by recent experimental progress on "erasure conversion" techniques that allow one to identify (herald) decoherence processes, we consider open systems with biased erasure noise, which leads to strongly symmetric heralded errors. We utilize this heralding to construct a local correction protocol that effectively confines errors into short-ranged pairs in the steady-state. Using a combination of numerical simulations and mean-field analysis, we show that our protocol stabilizes SPT order against a sufficiently low rate of decoherence. As the rate of heralded noise increases, SPT order is eventually lost through a directed percolation transition. We further find that while introducing unheralded errors destroys SPT order in the limit of long length- and time-scales, the correction protocol is sufficient for ensuring that local SPT order persists, with a correlation length that diverges as ξ ∼ (1−fe)−1/2, where fe is the fraction of errors that are heralded. © 2024, CC BY.

关键词： Quantum channel

来源：评论

学校读者我要写书评

暂无评论

A Novel Optimization Technique for Designing Frequency Reconfigurable Pixelated Planar Antenna

A Novel Optimization Technique for Designing Frequency Recon...

引用

Antennas and Propagation Society International Symposium

作者： Tianrui Qiao Shiwen Tang Junhui Rao Yujie Zhang Chi-Yuk Chiu Qingsha S. Cheng Ross Murch Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong Institute for Advanced Study The Hong Kong University of Science and Technology Hong Kong

A novel method incorporating joint perturbation sensitivity analysis is proposed in this paper to design frequency reconfigurable planar antennas with a pixelated surface. Using our method, an antenna design having two switched working frequency bands and omnidirectional radiation patterns, is optimized. The simulation results verify its efficacy and potential computation efficiency.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach

arXiv

引用

arXiv 2024年

作者： Kakooei, Mohammad Solska, Klaudia Daoud, Adel Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden Institute for Analytical Sociology Linköping University Sweden Center for Advanced Study in the Behavioral Sciences Stanford University United States

Reducing global poverty is a key objective of the Sustainable Development Goals (SDGs). Achieving this requires high-frequency, granular data to capture neighborhood-level changes, particularly in data scarce regions such as low- and middle-income countries. To fill in the data gaps, recent computer vision methods combining machine learning (ML) with earth observation (EO) data to improve poverty estimation. However, while much progress have been made, they often omit intra-annual variations, which are crucial for estimating poverty in agriculturally dependent countries. We explored the impact of integrating intra-annual NDVI information with annual multi-spectral data on model accuracy. To evaluate our method, we created a simulated dataset using Landsat imagery and nighttime light data to evaluate EO-ML methods that use intra-annual EO data. Additionally, we evaluated our method against the Demographic and Health Survey (DHS) dataset across Africa. Our results indicate that integrating specific NDVI-derived features with multi-spectral data provides valuable insights for poverty analysis, emphasizing the importance of retaining intra-annual information. © 2024, CC BY.

关键词：

来源：评论

学校读者我要写书评

暂无评论

FedSNN: Training Slimmable Neural Network With Federated Learning in Edge Computing

引用

IEEE/ACM Transactions on Networking 2024年

作者： Xu, Yang Liao, Yunming Xu, Hongli Wang, Zhiyuan Wang, Lun Liu, Jianchun Qian, Chen University Of Science And Technology Of China School Of Computer Science And Technology Anhui Hefei230027 China University Of Science And Technology Of China Suzhou Institute For Advanced Study Jiangsu Suzhou215123 China University Of California At Santa Cruz Jack Baskin School Of Engineering Department Of Computer Science And Engineering Santa CruzCA95064 United States

To provide a flexible tradeoff between inference accuracy and resource requirement at runtime, the slimmable neural network (SNN), a single network executable at different widths with the same deploying and management cost as that of a single model, has been proposed. However, how to effectively train SNN among massive devices in edge computing without revealing their local data remains an open problem. To this end, we leverage a novel distributed machine learning paradigm, i.e., federated learning, to realize effective on-device SNN training. As current FL schemes often train only one model with fixed architecture, and the existing SNN training algorithm is resource-intensive, integrating FL and SNN is non-trivial. Furthermore, two intrinsic features in edge computing, i.e., data and system heterogeneity, exacerbate the difficulty. Motivated by this, we redesign the model distribution, local training, and model aggregation phases in traditional FL, and propose FedSNN, a framework that ensures all widths in SNN can obtain high accuracy with less resource consumption. Specifically, for devices with heterogeneous training capacities and data distributions, the parameter server will distribute each of them with one proper width for adaptive local training guided by their uploaded model features, and their trained models will be weighted-averaged using the proposed multi-width SNN aggregation to improve their statistical utility. Extensive experiments on a distributed testbed show that FedSNN improves the model accuracy by about 2.18%-8.1%, and accelerates training by about 1.31 × -6.84 ×, compared with existing solutions. © 1993-2012 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Non-Classical Quantum State Generation using Superconducting-Nanostrip Photon-Number Resolving Detector with Optical Sampling

Non-Classical Quantum State Generation using Superconducting...

引用

2024 Frontiers in Optics, FiO 2024

作者： Endo, Mamoru Takahashi, Kazuma Nomura, Takefumi Sonoyama, Tatsuki Miki, Shigehito Yabuno, Masahiro Terai, Hirotaka Kashiwazaki, Takahiro Inoue, Asuka Umeki, Takeshi Nehra, Rajveer Takase, Kan Asavanant, Warit Furusawa, Akira Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-8656 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Saitama Wako351-0198 Japan Advanced ICT Research Institute National Institute of Information and Communications Technology Japan Department of Electrical and Computer Engineering University of Massachusetts Amherst AmherstMA01003 United States Department of Physics University of Massachusetts Amherst AmherstMA01003 United States College of Information and Computer Science University of Massachusetts Amherst AmherstMA01003 United States

Superconducting-nanostrip photon detectors with optical sampling method now function as true photon-number resolving detectors in real-time without multiplexing. We applied this technique for quantum state generation ... 详细信息

关键词： Quantum computers

来源：评论

学校读者我要写书评

暂无评论

Energy-optimal transport trajectory planning and online trajectory modification for holonomic robots

Energy-optimal transport trajectory planning and online traj...

引用

作者： Kim, Hongjun Kim, Byung Kook Department of Computer Engineering Daejeon University Daejeon Korea Republic of School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of

To maximize energy efficiency, we suggest minimum-energy trajectory planning and online trajectory modification algorithms for three-wheeled omni-directional mobile robots (TOMRs). First, minimum-energy multisection trajectory planning for various constraints is performed using Pontryagin's minimum principle. Two strategies are established to formulate an efficient minimum-energy, multisection trajectory generation algorithm: an online trajectory modification and a control algorithm that maintains energy efficiency are investigated using novel heuristic functions. Compared with the conventional trajectory using the trapezoidal velocity profile, the generated transport trajectory can save energy. © 2020 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Stabilizing Non-Abelian Topological Order against Heralded Noise via Local Lindbladian Dynamics

arXiv

引用

arXiv 2024年

作者： Chirame, Sanket Prem, Abhinav Gopalakrishnan, Sarang Burnell, Fiona J. School of Physics and Astronomy University of Minnesota MinneapolisMN55455 United States School of Natural Sciences Institute for Advanced Study PrincetonNJ08540 United States Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

An important open question for the current generation of highly controllable quantum devices is understanding which phases can be realized as stable steady-states under local quantum dynamics. In this work, we show how robust steady-state phases with both Abelian and non-Abelian mixed-state topological order can be stabilized against generic "heralded" noise using active dynamics that incorporate measurement and feedback, modeled as a fully local Lindblad master equation. These topologically ordered steady states are two-way connected to pure topologically ordered ground states using local quantum channels, and preserve quantum information for a time that is exponentially large in the system size. Specifically, we present explicit constructions of families of local Lindbladians for both Abelian (Z2) and non-Abelian (D4) topological order whose steady-states host mixed-state topological order when the noise is below a threshold strength. As the noise strength is increased, these models exhibit first-order transitions to intermediate mixed state phases where they encode robust classical memories, followed by (first-order) transitions to a trivial steady state at high noise rates. When the noise is imperfectly heralded, steady-state order disappears but our active dynamics significantly enhances the lifetime of the encoded logical information. To carry out the numerical simulations for the non-Abelian D4 case, we introduce a generalized stabilizer tableau formalism that permits efficient simulation of the non-Abelian Lindbladian dynamics. © 2024, CC BY.

关键词： Topology

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：