检索结果-内蒙古大学图书馆

18th IEEE International Conference on computer Science and Information Technologies, CSIT 2023

作者： Bouhissi, Houda El Itmacene, Ouardia Oubekkou, Milissa Pavlova, Olga Hovorushchenko, Tetiana Shestakevych, Tetiana University of Bejaia LMED Laboratory Faculty of Exact Sciences Bejaia06000 Algeria University of Bejaia Faculty of Exact Sciences Bejaia06000 Algeria Khmelnytskyi National University Department of Computer Engineering & Information Systems Khmelnytskyi Ukraine Lviv Polytechnic National University Information Systems and Networks Department Lviv Ukraine

ISBN: (纸本)9798350360462

Sentiment analysis is a branch of natural language processing that analyzes textual data and provides insights into users' opinions. In the context of smart cities, sentiment analysis seeks to seamlessly integrate technological innovations into people's daily lives, fostering sustainability and enhancing overall quality of life while monitoring citizen satisfaction levels. This approach allows for more precise analysis and facilitates the implementation of strategies geared towards improving services and the general quality of life. The aim of this paper is to propose an approach for managing healthcare crises in smart cities. The proposal relies on a hybrid approach that combines LSTM for tweet classification with EHO for optimizing classification parameters. Experimental results have demonstrated the effectiveness of this proposed technique. © 2023 IEEE.

关键词： Smart city

来源：评论

学校读者我要写书评

暂无评论

Plasma Jet Deposition and Self-Sintering of Gold Nanoparticle Ink for Flexible Electronics 5

Plasma Jet Deposition and Self-Sintering of Gold Nanoparticl...

引用

5th IEEE International Flexible Electronics Technology Conference, IFETC 2023

作者： Manzi, Jacob Varghese, Tony Dhamala, Anupama Prakasan, Lakshmi Eixenberger, Josh Kandadai, Nirmala Estrada, David Subbaraman, Harish School of Electrical Engineering and Computer Science Oregon State University CorvallisOR97331 United States Micron School of Material Science and Engineering Boise State University BoiseID83725 United States Boise State University Department of Electrical and Computer Engineering BoiseID83725 United States Center for Advanced Energy Studies Boise State University BoiseID83725 United States Idaho National Laboratory Idaho FallsID83415 United States

ISBN: (纸本)9798350332094

Additive manufacturing has become a promising method for the fabrication of inexpensive, green, flexible electronics. Printed electronics on low-Temperature substrates like paper are very appealing for the flexible hybrid electronics market for their use in disposable and biocompatible electronic applications and in areas like packaging, wearables, and consumer electronics. Plasma-jet printing uses a dielectric barrier discharge plasma to focus aerosolized nanoparticles onto a target substrate. The same plasma can be used to change the properties of the printed material and even sinter in situ. The technology can also be utilized in space and microgravity environments since the plasma-Assisted deposition is independent of gravity. In this work, we show plasma voltage effect on deposition of gold nanoparticles and direct printing of flexible, conductive gold structures onto low-Temperature paper substrates without the need for thermal or photonic post-processing. The effects of plasma parameters on the conductivity and flexible reliability of the printed films are studied, and a paper-based LED electrode is demonstrated. © 2023 IEEE.

关键词： Substrates

来源：评论

学校读者我要写书评

暂无评论

Leveraging Deep Reinforcement Learning for Geolocation-based MIMO Transmission in FD-RAN

Leveraging Deep Reinforcement Learning for Geolocation-based...

引用

2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Liu, Zongxi Yu, Kai Zhang, Tianqi Liu, Jingbo Chen, Jiacheng Zhou, Haibo Shen, Xuemin Sherman Nanjing University School of Electronic Science and Engineering Nanjing210023 China Peng Cheng Laboratory Department of Mathematics and Theories Shenzhen518000 China Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China University of Waterloo Department of Electrical and Computer Engineering WaterlooN2L 3G1 Canada

ISBN: (纸本)9798350345384

In the fully-decoupled radio access network (FD-RAN), the base stations (BSs) are classified as control BSs, uplink BSs, and downlink BSs for better flexibility of the BS-user equipment (UE) association and elasticity of resource scheduling. However, the high feedback delay brought by the physically decoupling architecture renders conventional feedback-based MIMO transmission ineffective. Considering the strong correlation between user geolocation and the channel propagation environment, especially when a line-of-sight (LOS) path exists, we propose a geolocation-based MIMO transmission scheme that determines the user's precoder and modulation and coding scheme (MCS) without requiring the conventional feedback procedures. To capture the correlation, we utilize deep reinforcement learning (DRL) to perform the task of mapping from geolocation to transmission parameters. Based on the principles of Type I codebook, we further decompose the task into subtasks to reduce the action space. The extensive simulations on realistic ray-tracing channels demonstrate comparable performance to CSI feedback-based methods in 5G under ideal (zero feedback delay) conditions and better performance against 5G (with feedback delay) and DRL without task decomposition. © 2023 IEEE.

关键词： Radio access networks

来源：评论

学校读者我要写书评

暂无评论

GNS3 Communication Network Emulation for Substation GOOSE Based Protection Schemes

GNS3 Communication Network Emulation for Substation GOOSE Ba...

引用

International Conference on Environment and electrical engineering (EEEIC)

作者： Abdulmueen Alrashide Mahmoud S. Abdelrahman Ibtissam Kharchouf Osama A. Mohammed Department of Electrical and Computer Engineering Florida International University Energy Systems Research Laboratory Miami Fl USA Department of Electrical &#x0026 Computer Engineering Florida International University Miami FL USA

ISBN: (数字)9781665485371

ISBN: (纸本)9781665485388

This paper presents a communication network model used to study the impact of the communication layer on smart grid protection schemes. Communication failure due to hardware malfunction or cyber-attack could lead to major impacts on the smart grid. Some critical devices require real-time data or close to real-time to make the right decision at the right time and keep the system in a stable zone, such as a protection relay. Active man in the middle attack adds additional latency to the packet delivery. A false data injection attack could drive the system to an unstable point, eventually leading to a blackout. This paper designed and implemented communication emulation model for a local area network on the FIU smart grid testbed. Two cases were tested in the developed communication model. In the first case, two physical raspberry pi boards were used to represent two nodes in the smart grid and one traffic generated within the virtual network. In the second case, five ABB Protection Relays and COM600 substation automation devices were connected to GNS3. The two cases showed that GNS3 could be used to emulate the communications network and study the impact of the network performance on the real-world substation environment.

关键词： Performance evaluation LAN emulation Substation automation Emulation Europe Real-time systems Hardware

来源：评论

学校读者我要写书评

暂无评论

Outage, Capacity, and Error Performance of Downlink RSMA-based systems: Analysis and Resource Optimization

引用

IEEE Transactions on Communications 2025年

作者： Vu, Thai-Hoc Da Costa, Daniel Benevides Kim, Sunghwan Pham, Quoc-Viet University of Ulsan Department of Electrical Electronic and Computer Engineering Ulsan Korea Republic of Interdisciplinary Research Center for Communication Systems and Sensing Department of Electrical Engineering Dhahran31261 Saudi Arabia Kyonggi University School of Electronic Engineering Kyonggi Korea Republic of University of Dublin School of Computer Science and Statistics Trinity College Dublin Dublin 2 D02PN40 Ireland

This paper comprehensively investigates the performance of downlink multi-user rate-splitting multiple access (RSMA) networks under Nakagami-m fading channels. We first develop the mathematical outage probability (OP) and ergodic capacity (EC) frameworks, deriving exact expressions for both, along with asymptotic analysis in high signal-to-noise ratio (SNR) and low-rate regions, which serve as the foundation for deducing the approximate and maximal energy-reliability and energy-spectral formulas. To enhance system performance, we tackle the non-convex problems of jointly optimizing common and private power allocation (PA) coefficients to minimize the maximal OP performance. Moreover, we also delve into optimizing PA coefficients and rate-splitting factors concurrently to maximize the ergodic sum capacity (ESC). Addressing the influence of modulation schemes on user error rates, we introduce mathematical frameworks for symbol error rate (SER) considering four combined modulation schemes based on binary phase-shift keying (BPSK) and quadrature-phase shift keying (QPSK), the whole cases are quantified in terms of exact and asymptotic manners. Furthermore, we present a straightforward approach to optimize the PA coefficients to minimize the maximal SER performance. Finally, Monte-Carlo simulations are presented to validate our developed frameworks and optimization solutions. © 1972-2012 IEEE.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence

arXiv

引用

arXiv 2024年

作者： Yau, Chung-Yiu Wai, Hoi-To Raman, Parameswaran Sarkar, Soumajyoti Hong, Mingyi Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong Amazon Web Services United States Department of Electrical and Computer Engineering University of Minnesota United States

A key challenge in contrastive learning is to generate negative samples from a large sample set to contrast with positive samples, for learning better encoding of the data. These negative samples often follow a softmax distribution which are dynamically updated during the training process. However, sampling from this distribution is non-trivial due to the high computational costs in computing the partition function. In this paper, we propose an Efficient Markov Chain Monte Carlo negative sampling method for Contrastive learning (EMC2). We follow the global contrastive learning loss as introduced in Yuan et al. (2022), and propose EMC2 which utilizes an adaptive Metropolis-Hastings subroutine to generate hardness-aware negative samples in an online fashion during the optimization. We prove that EMC2 finds an O(1/√T)-stationary point of the global contrastive loss in T iterations. Compared to prior works, EMC2 is the first algorithm that exhibits global convergence (to stationarity) regardless of the choice of batch size while exhibiting low computation and memory cost. Numerical experiments validate that EMC2 is effective with small batch training and achieves comparable or better performance than baseline algorithms. We report the results for pre-training image encoders on STL-10 and Imagenet-100. © 2024, CC BY.

关键词： Monte Carlo methods

来源：评论

学校读者我要写书评

暂无评论

A Cognitive Tracking Radar Using Continuous Space Monte Carlo Tree Search

A Cognitive Tracking Radar Using Continuous Space Monte Carl...

引用

2022 IEEE Radar Conference, RadarConf 2022

作者： Rybicki, Brian W. Nelson, Jill K. George Mason University Department of Electrical and Computer Engineering FairfaxVA United States U.S. Naval Research Laboratory WashingtonDC United States

ISBN: (纸本)9781728153698

This paper presents the application of a continuous space Monte Carlo tree search (MCTS) technique to cognitive tracking radar. Previous cognitive tracking radar implemen-tations have used approximate dynamic programming (ADP) techniques like receding horizon (RH) and policy rollout to intel-ligently select waveforms. We show how MCTS combines features of both RH and rollout to produce superior tracking performance while also conserving radar resources in a benchmark tracking simulation. © 2022 IEEE.

关键词： Tracking radar

来源：评论

学校读者我要写书评

暂无评论

CDDIP: Constrained Diffusion-Driven Deep Image Prior for Seismic Data Reconstruction

arXiv

引用

arXiv 2024年

作者： Goyes-Peñafiel, Paul Kamilov, Ulugbek S. Arguello, Henry Department of Systems Engineering Universidad Industrial de Santander Bucaramanga680002 Colombia Department of Computer Science and Engineering Department of Electrical and Systems Engineering Washington University in St. Louis St. LouisMO63130 United States

Seismic data frequently exhibits missing traces, substantially affecting subsequent seismic processing and interpretation. Deep learning-based approaches have demonstrated significant advancements in reconstructing irregularly missing seismic data through supervised and unsupervised methods. Nonetheless, substantial challenges remain, such as generalization capacity and computation time cost during the inference. Our work introduces a reconstruction method that uses a pre-trained generative diffusion model for image synthesis and incorporates Deep Image Prior to enforce data consistency when reconstructing missing traces in seismic data. The proposed method has demonstrated strong robustness and high reconstruction capability of post-stack and pre-stack data with different levels of structural complexity, even in field and synthetic scenarios where test data were outside the training domain. This indicates that our method can handle the high geological variability of different exploration targets. Additionally, compared to other state-of-the-art seismic reconstruction methods using diffusion models. During inference, our approach reduces the number of sampling timesteps by up to 4x. Our implementation is available at https://***/PAULGOYES/*** © 2024, CC BY.

关键词： Seismic response

来源：评论

学校读者我要写书评

暂无评论

Orthogonal projection for anomaly detection in networking datasets

引用

Journal of Ambient Intelligence and Humanized Computing 2023年第6期14卷 7957-7966页

作者： Cortes-Polo, David Jimenez, Luis I. Paoletti, Mercedes E. Calle-Cancho, Jesus Rico-Gallego, Juan A. Department of Signal Theory and Communication University Rey Juan Carlos Cam. del Molino 5 Madrid Fuenlabrada28942 Spain Intelligent Systems Group Department of Computer Science University of Valladolid P.O de Belén 15 Valladolid47011 Spain Hyperspectral Computing Laboratory Department of Technology of Computers and Communication University of Extremadura Av. de la Universidad s/n Caceres10003 Spain Calle Sola 1 Extremadura Trujillo10200 Spain Computer and Telematics Systems Engineering University of Extremadura Av. de la Universidad s/n Caceres10003 Spain

In recent years, the impressive growth of new wireless technologies, together with the appearance of new requirements in applications and services, is progressively changing the use of networks. Due to the high mobility required, the network must adapt to the infrastructure to meet the demands of the users. As a result, service providers currently have to over-provision network capacity, which is costly. In addition, considering efficient resource planning in advance involves a lot of labor-intensive efforts. Consequently, network usage analysis is a very useful tool that allows network administrators to find patterns and anomalies. Whilst pattern detection provides administrators the ability to define the infrastructure, anomaly detection provides rich and valuable information for certain applications, for example, to avoid network saturation in urban areas during peak hours. This article proposes a new methodology based on orthogonal projections over Call Detail Records (CDR) for anomaly detection to help in the dynamic management of the network in an urban area. The method is evaluated in a real scenario provided by an Italian telecommunications operator, considering different locations in the Milan metropolitan area, differentiated by the geographic resolution of the data, reaching F1 scores above 0.8. In addition, a new ground truth is presented, hoping it will become a reference data set for the community, in the form of a set of locations that have been corroborated for use in evaluating anomaly detection techniques. © 2023, The Author(s).

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Meshed Conductor Considerations for Optically Transparent Antennas

Meshed Conductor Considerations for Optically Transparent An...

引用

2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

作者： Silva, Zachary J. Valenta, Christopher R. Georgia Institute of Technology School of Electrical and Computer Engineering AtlantaGA30318 United States Georgia Tech Research Institute Electro-Optical Systems Laboratory AtlantaGA30318 United States

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

Transparent antennas are a uniquely enabling technology permitting antennas to be hidden in windshields, disguised in consumer electronic displays, and even utilized in dual-use optical-RF apertures. The key enabling technology for transparent antennas is the transparent conductor. Their primary challenge is balancing optical and RF performance, which typically tradeoff performance. The manuscript presents the practical performance limitations of these conductors with evidence from the published literature. Additionally, insights into transparent conductor fabrication methods and extensions toward their use as antennas are presented. Furthermore, key parameter threshold considerations when designing transparent antennas with a meshed conductor to achieve optimal antenna performance are described in terms of radiation performance and transparency. © 2022 IEEE.

关键词： Antennas

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：