检索结果-内蒙古大学图书馆

IEEE International Conference on Communications (ICC)

作者： Ziqi Chen Jun Du Chunxiao Jiang Yunlong Lu Zhu Han Department of Electronic Engineering Tsinghua University Beijing China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing China The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Department of Electrical and Computer Engineering University of Houston Houston TX USA

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

The rapid development of the Internet of Medical Things (IoMT) has brought about an enormous amount of healthcare data. Effectively and securely processing this sensitive data has become a significant challenge for green communication and privacy protection of the IoMT. As a decentralized learning framework, Federate learning (FL) enables model training without directly aggregating users' raw data, thus ensuring user privacy protection. Moreover, numerous studies have put forth various approaches to enhance the efficiency of FL by minimizing communication costs, yet they may not fully account for the unique characteristics of IoMT. Specifically, the efficiency and performance of model training are closely related to patient life and health. Meanwhile, existing research has indicated that reducing communication costs can result in a decline in training accuracy, which may be critical to patient health. Therefore, aimed at green communication and ensuring the model accuracy, we design a communication-efficient personalized federated learning framework, namely pFedCAS. Specifically, we introduce a control unit, which enables adaptive sparsity of local models, to reduce training costs. Furthermore, a selection unit based on communication quality is added into the global aggregation, which can select suitable clients for model updating. Simulation results validate that the proposed method can significantly reduce communication costs while ensuring the model accuracy. Additionally, The simulation results also validate the excellent robustness of our method to non-iid healthcare data.

关键词： Training Adaptation models Data privacy Costs Accuracy Federated learning Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Isotropic gap formation, localization, and waveguiding in mesoscale Yukawa-potential amorphous structures

arXiv

引用

arXiv 2023年

作者： Sarihan, Murat Can Govdeli, Alperen Lan, Zhihao Yilmaz, Yildirim Batuhan Erdil, Mertcan Wang, Yupei Aras, Mehmet Sirin Yanik, Cenk Panoiu, Nicolae Coriolan Wong, Chee Wei Kocaman, Serdar Quantum Devices and Nanophotonics Research Laboratory Department of Electrical and Electronics Engineering Middle East Technical University Ankara Turkey Mesoscopic Optics and Quantum Electronics Laboratory Department of Electrical and Computer Engineering University of California Los Angeles Los AngelesCA United States Department of Electronic and Electrical Engineering University College London Torrington Place LondonWC1E 7JE United Kingdom Sabanci University Nanotechnology Research and Application Center Sabanci University Istanbul Turkey

Amorphous photonic structures are mesoscopic optical structures described by electrical permittivity distributions with underlying spatial randomness. They offer a unique platform for studying a broad set of electromagnetic phenomena, including transverse Anderson localization, enhanced wave transport, and suppressed diffusion in random media. Despite this, at a more practical level, there is insufficient work on both understanding the nature of optical transport and the conditions conducive to vector-wave localization in these planar structures, as well as their potential applications to photonic nanodevices. In this study, we fill this gap by investigating experimentally and theoretically the characteristics of optical transport in a class of amorphous photonic structures and by demonstrating their use to some basic waveguiding nanostructures. We demonstrate that these 2-D structures have unique isotropic and asymmetric band gaps for in-plane propagation, controlled from first principles by varying the scattering strength and whose properties are elucidated by establishing an analogy between photon and carrier transport in amorphous semiconductors. We further observe Urbach band tails in these random structures and uncover their relation to frequency- and disorder-dependent Anderson-like localized modes through the modified Ioffe-Regel criterion and their mean free path - localization length character. Finally, we illustrate that our amorphous structures can serve as a versatile platform in which photonic devices such as disorder-localized waveguides can be readily implemented. © 2023, CC BY.

关键词： Photonic devices

来源：评论

学校读者我要写书评

暂无评论

BPVFL: A Bidirectional Privacy-Preserving Verifiable Federated Learning Framework with Homomorphic Encryption

BPVFL: A Bidirectional Privacy-Preserving Verifiable Federat...

引用

IEEE Conference on Global Communications (GLOBECOM)

作者： Jingwei Liu Sijing Chen Junrong Zhu Rong Sun Xiaojiang Du Mohsen Guizani Shaanxi Key Laboratory of Blockchain and Secure Computing Xidian University Xi’an China State Key Laboratory of ISN Xidian University Xi’an China Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken USA Department of Machine Learning Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) Abu Dhabi UAE

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

Federated learning, while advancing data privacy, faces risks of sensitive information leakage through parameter updates, making it susceptible to inference and data reconstruction attacks. Fraudulent behaviors by central servers or clients can undermine the integrity of model training, thereby reducing accuracy and affecting decision-making quality. This paper introduces a bidirectional, privacy-preserving verifiable federated learning framework(BPVFL) built on homomorphic encryption and a novel three-party zero-knowledge protocol. This framework guarantees the integrity of server aggregation and the credibility of the information uploaded by clients. Experimental results demonstrate that BPVFL effectively protects client privacy, prevents fraud by servers and certain clients, and efficiently handles numerous client disconnections with minimal overhead.

关键词： Training Privacy Protocols Federated learning Computational modeling Sampling methods Information leakage Robustness Servers Homomorphic encryption

来源：评论

学校读者我要写书评

暂无评论

Optimal Evasion from a Sensing-Limited Pursuer

arXiv

引用

arXiv 2024年

作者： Maity, Dipankar Von Moll, Alexander Shishika, Daigo Dorothy, Michael The Department of Electrical and Computer Engineering University of North Carolina at Charlotte NC28223 United States The Control Science Center Air Force Research Laboratory WPAFB OH45433 United States The Department of Mechanical Engineering George Mason University FairfaxVA22030 United States The Army Research Directorate DEVCOM Army Research Laboratory APG MD20783 United States

This paper investigates a partial-information pursuit evasion game in which the Pursuer has a limited-range sensor to detect the Evader. Given a fixed final time, we derive the optimal evasion strategy for the Evader to maximize its distance from the pursuer at the end. Our analysis reveals that in certain parametric regimes, the optimal Evasion strategy involves a ‘risky’ maneuver, where the Evader’s trajectory comes extremely close to the pursuer’s sensing boundary before moving behind the Pursuer. Additionally, we explore a special case in which the Pursuer can choose the final time. In this scenario, we determine a (Nash) equilibrium pair for both the final time and the evasion strategy. Copyright © 2024, The Authors. All rights reserved.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Impact of High-k Materials and Tube Numbers on CNFET Gate’s Performances

Impact of High-k Materials and Tube Numbers on CNFET Gate’s...

引用

International Conference on Smart Systems and Inventive Technology (ICSSIT)

作者： Christofer Yalung Doldet Tantraviwat Sermsak Uatrongjit Wittawat Yamwong Philosophy Program in Nanoscience and Nanotechnology (International Program/Interdisciplinary) Chiang Mai University Chiang Mai Thailand Department of Electrical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand Thai Microelectronics Center (TMEC) National Electronics and Computer Technology Center (NECTEC) Chachoengsao Thailand

Carbon nanotube field effect transistor (CNFET) performance is primarily influenced by a variety of characteristics, such as nanotube diameter, operating voltage, pitch, the number of tubes, dielectric constant, and contact materials. In this study, the dielectric constant and the number of carbon nanotubes (CNTs) were emphasized to analyze the propagation delay and average power dissipation of basic logic gates. Zirconium dioxide (ZrO 2 ), hafnium oxide (HfO 2 ), and silicon dioxide (SiO 2 ) were used as dielectric materials. In this experiment, the Stanford CNFET model was utilized, and variable factors such as the number of CNTs and the dielectric constant $(K_{ox})$ accumulated on the nanotube gate's surface were diversified. The correlation coefficients of the delay, the average power, and the CNT numbers were also presented. Furthermore, the multi-objective genetic algorithm and the Rmethod were utilized to find the optimal K ox and the number of CNTs for minimizing the average dissipation power and the propagation delay of some logic gates designed with CNFET. For all the gates considered, the optimal number of CNTs is 4 while the dielectric constant is within the ranges of 19 to 24.

关键词： Silicon compounds Dielectric constant Correlation Logic gates CNTFETs Power dissipation Electron tubes

来源：评论

学校读者我要写书评

暂无评论

A Generation Directrix-Based Regulation Energy Market Mechanism for Fairer Competition in Power Systems with High Renewable Energy Penetration

SSRN

引用

SSRN 2024年

作者： Gu, Jiu Zhou, Shichao Wang, Lingling Jiang, Chuanwen Li, Zuyi Key Laboratory of Control of Power Transmission and Conversion Ministry of Education SEIEE Shanghai Jiao Tong University Minhang District Shanghai200240 China Electrical and Computer Engineering Department Illinois Institute of Technology ChicagoIL60616 United States

Building a power system with a high proportion of renewable energy is the prevailing developmental trajectory of most countries. However, the current spot market mechanism is predominantly tailored for conventional generators (CGs, e.g., thermal units), which ignores the notable differences between renewable energy sources (RESs) and CGs in terms of generation cost and adjustment capability. Consequently, RESs benefit from priority in market-clearing without assuming regulation responsibility during the bidding process alongside CGs, thereby impacting the fairness of the spot market. In this paper, we propose the concept of RES generation directrix (RGD) to quantify the regulation responsibility that RESs need to bear when participating in the spot market. Subsequently, a regulation energy market is constructed between RESs and CGs to reshape the power generation curve of RESs. Finally, the validity of the proposed market mechanism is verified across different test systems. Numerous experiments indicate the proposed RGD-based market mechanism provides a more level playing field for RESs and CGs, helps form an independent offer price for RESs, thereby relieving the "missing money" problem and prolonging the effectiveness and sustainability of energy markets. © 2024, The Authors. All rights reserved.

关键词： Renewable energy resources

来源：评论

学校读者我要写书评

暂无评论

EEG-based Emotion Recognition using Graph Attention Network with Dual-Branch Attention Module

EEG-based Emotion Recognition using Graph Attention Network ...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Cheng Li Sio Hang Pun Jia Wen Li Fei Chen State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau Macau China Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen China School of Computer Science Guangdong Polytechnic Normal University Guangzhou China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

EEG reveals human brain activities for emotion and becomes an important aspect of affective computing. In this study, we developed a novel approach, namely DAM-GAT, which incorporated a dual-branch attention module (DAM) into a graph attention network (GAT) for EEG-based emotion recognition. This method used the GAT to capture the local features of emotional EEG signals. To enhance the important EEG features for emotion recognition, the proposed method also included a DAM that calculated weights considering both channel and frequency information. Additionally, the relationship between EEG channels was determined using the phase-locking value (PLV) connectivity of corresponding EEG signals. Based on the SEED datasets, the proposed approach provided an accuracy of up to 94.63% for emotion recognition, demonstrating its impressive performance compared with other existing methods.

关键词： Emotion recognition Accuracy Dams Brain modeling Feature extraction Electroencephalography Stability analysis Resource management engineering in medicine and biology Radio spectrum management

来源：评论

学校读者我要写书评

暂无评论

Design and application of a one-stop mobile application sharing platform for steel enterprises

Design and application of a one-stop mobile application shar...

引用

第42届中国控制会议

作者： Xinzhe Chen Luefeng Chen Jie Hu Qingfeng Yang Min Wu Witold Pedrycz School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Department of Electrical and Computer Engineering University of Alberta

As China's steel production accounts for an increasing share of the world's output, the intelligent transformation of the steel industry is becoming increasingly urgent. To address issues such as low levels of mobile informationization in steel enterprises and the lack of an industry-specific mobile application platform, it is of great significance to establish a shared mobile application platform for the steel industry. In this paper, the requirements of the platform were analyzed, and the platform's functions were designed. The software design of the platform was then carried out, and the entire mobile application sharing platform was developed, effectively improving the production management efficiency of steel enterprises. The results indicate that the platform can effectively meet the needs of steel enterprises and has significant engineering significance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Enhancing Strategic Marketing with AI-Driven Insights into Dynamic Preferences and Decision Patterns

Enhancing Strategic Marketing with AI-Driven Insights into D...

引用

2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Raj, Vijilius Helena Shubhra Al-Rubaye, Taqi Mohammed Khattab Siri, Dharmapuri Sirisha, N. Dutt, Amit New Horizon College of Engineering Department of Applied Sciences Bangalore India Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India College of Medical Technologies The Islamic University Department of Medical Laboratory Technology Najaf Iraq Griet Department of Cse Bachupally Telangana Hyderabad India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Lovely Professional University Phagwara India

ISBN: (纸本)9798331527495

Once AI begins gathering client data, the marketing sector will alter drastically. This research uses sophisticated AI technologies to better understand how complex client behaviors might be. We examine pricing solutions, including social media mood monitoring, joint filtering algorithms for targeted marketing, and reinforcement learning-based dynamic pricing. Neural networks are being investigated for application in e-commerce predictive analytics and predicting subscription cancellations. This research examines clustering algorithms' performance to see whether they may be utilized for cross-channel marketing activities, including consumer segmentation and credit modeling. The article concludes by examining how virtual reality is affecting shop advertising and marketing. The study's findings encompass AI-powered marketing strategies' applications, advantages, and drawbacks. AI helps marketing, according to the findings. Businesses may improve their strategy, communicate with consumers, and meet client needs using this information. © 2025 IEEE.

关键词： Marketplaces

来源：评论

学校读者我要写书评

暂无评论

Detection of White Matter Hyperintensities in Magnetic Resonance Imaging by Hyperspectral Subpixel Detection

引用

IEEE Access 2024年 12卷 111992-112007页

作者： Yung-Chieh Chang Chein-I Chang Yen-Chieh Ouyang Jyh-Wen Chai Wen-Hsien Chen Kuan-Jung Pan Hsin-Che Wang Clayton Chi-Chang Chen Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan Department of Medical Imaging and Radiological Sciences Central Taiwan University of Science and Technology Taichung Taiwan Department of Computer Science and Electrical Engineering Remote Sensing Signal and Image Processing Laboratory University of Maryland Baltimore County Baltimore MD USA Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan College of Medicine China Medical University Taichung Taiwan Department of Industrial Engineering and Enterprise Information Tunghai University Taichung Taiwan Department of Medical Research Center for Quantitative Imaging in Medicine (CQUIM) Taichung Veterans General Hospital Taichung Taiwan Department of Medical Imaging China Medical University Hospital Taichung Taiwan

White matter hyperintensities (WMHs) are lesion in brain magnetic resonance images generally associated with Alzheimer’s disease (AD) and cognitive decline. Finding WMHs of AD poses a great challenge for diagnosis. This paper interprets a brain MR image as a hyperspectral image so that a well stablished hyperspectral subpixel detection algorithm, constrained energy minimization (CEM), is applicable to solving the WMHs detection problem at mixed pixel and subpixel level. To resolve nonlinear mixing in detecting WMHs nearby boundaries, a nonlinear CEM, called kernel CEM (KCEM) is also developed. Since CEM is a hyperspectral technique without taking spatial correlation into account, CEM was also extended to iterative CEM (ICEM) by including spatial filters to capture spatial information for WMHs detection. This paper combines ICEM and KCEM to derive a new WHMs detection algorithm, iterative KCEM (IKCEM) to improve ICEM and KCEM on WMHs detection. To evaluate the WMHs detection performance, two criteria, Dice similarity index (DSI) and 3D ROC analysis are used as evaluation tools. In order to show the superiority of IKCEM, two commonly used software packages, statistical parametric mapping (SPM)-based algorithms, SPM-lesion growth algorithm (SPM-LGA) and SPM-lesion prediction algorithm (SPM-LPA) are implemented for validation and comparison.

关键词： Hyperspectral imaging Magnetic resonance imaging Iterative methods Medical diagnostic imaging White matter Manuals Energy management Neuroimaging Brain modeling Alzheimer's disease Energy measurement

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：