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Canadian Conference on electrical and computer engineering (CCECE)

作者： Shasha Liu Abla Kammoun Hayssam Dahrouj Mohamed-Slim Alouini Division of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia Department of Electrical Engineering University of Sharjah Sharjah UAE

ISBN: (数字)9798350371628

ISBN: (纸本)9798350371635

This work focuses on the downlink of a single-cell multi-user system in which a base station (BS) equipped with M antennas communicates with K single-antenna users. We consider the low-complexity design of the optimal linear precoder (OLP) that maximizes the minimum signal-to-interference-plus-noise ratio (SINR) while ensuring multi-weighted power constraints. To this end, we consider the asymptotic regime in which M and K grow large with a given ratio. Tools of random matrix theory (RMT) are used to compute, in explicit form, deterministic approximations for the parameters of the OLP and the optimal powers. The derived approximations are instrumental for getting further insight into the structure of the optimal precoders, predicting the active weighted power constraint, and reducing the implementation complexity in large-scale networks. Numerical results are used to validate the asymptotic analysis in the finite system regime and investigate the impact of weighted power constraints on the system energy efficiency (EE).

关键词： Base stations Instruments Interference Minimax techniques MISO communication Downlink Energy efficiency

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Privacy-Preserving Load Forecasting via Personalized Model Obfuscation

Privacy-Preserving Load Forecasting via Personalized Model O...

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IEEE General Meeting Power& Energy Society

作者： Shourya Bose Yu Zhang Kibaek Kim Department of Electrical & Computer Engineering University of California Santa Cruz CA Mathematics and Computer Science Division Argonne National Laboratory IL

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

The widespread adoption of smart meters provides access to detailed and localized load consumption data, suitable for training building-level load forecasting models. To mitigate privacy concerns stemming from model-induced data leakage, federated learning (FL) has been proposed. This paper addresses the performance challenges of short-term load forecasting models trained with FL on heterogeneous data, emphasizing privacy preservation through model obfuscation. Our proposed algorithm, Privacy Preserving Federated Learning (PPFL), incorporates personalization layers for localized training at each smart meter. Additionally, we employ a differentially private mechanism to safeguard against data leakage from shared layers. Simulations on the NREL ComStock dataset corroborate the effectiveness of our approach.

关键词： Training Privacy Load forecasting Federated learning Simulation Predictive models Data models Smart meters Voltage control Load modeling

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A Novel Continuum Approximation to Power System Electromechanical Dynamics

A Novel Continuum Approximation to Power System Electromecha...

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2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022

作者： Lei, S. Maldonado, D.A. Constantinescu, E. Zhao, J. Yarahmadi, S. Mili, L. Anitescu, M. Argonne National Laboratory Mathematics and Computer Science Division LemontIL United States Illinois Institute of Technology Department of Electrical and Computer Engineering ChicagoIL United States Mississippi State University Department of Electrical and Computer Engineering StarkvilleMS United States Virginia Tech Department of Electrical and Computer Engineering BlacksburgVA United States

ISBN: (纸本)9781665437752

This paper proposes a novel two-dimensional continuum model that aims to capture the electromechanical wave phenomenon observed in power systems after a disturbance. The model is derived by a homogenization process of the discrete parameters of the conventional, discrete transient analysis model. The implementation of the proposed model is detailed. The paper also demonstrates the accuracy of the proposed model by comparing its results with those obtained from the discrete model. It is observed that the proposed model is able to provide a similar characterization of system electromechanical dynamics as the discrete model from a continuum point of view. © 2022 IEEE.

关键词： Transient analysis

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A Study on Malicious Attacks for RIS-Aided Wireless Systems

A Study on Malicious Attacks for RIS-Aided Wireless Systems

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IEEE Middle East and North Africa Communications Conference (MENACOMM)

作者： Ammar El Falou Computer Electrical and Mathematical Sciences and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

ISBN: (数字)9798331519957

ISBN: (纸本)9798331519964

Reconfigurable intelligent surfaces (RIS) aim to reconfigure the random channel between the source and the destination, thus directing the transmitted signals toward the destination. The potential gains of RIS-aided systems compared to legacy systems are an increase in rate, energy efficiency, and energy transfer. A RIS should be low-complex and quasi-passive, therefore, does not have a high computational capability. The source configures the phases of the RIS elements by sending a signal to its controller to maximize the required metrics, such as the received power, the rate, the signal-to-noise ratio (SNR), etc. However, the channel between the source and the RIS controller is vulnerable. In this paper, we discuss the security issues in RIS-aided wireless systems. We focus on the channel between the source and the RIS controller. We show that a severe decrease in the destination rate, to a value lower than the one of the system without RIS, can be made by controlling the phase shifts of the RIS. With a realistic 3GPP channel model and an RIS with 100 elements, the rate can be decreased from 4.55 bps/Hz to only 0.08 bps/Hz by selecting the RIS phase shifts to minimize the received power (power loss around 26 dB). Future directions and challenges are also discussed, such as energy deviation, multiple RISs, and multiple operators.

关键词： Wireless communication Measurement Energy exchange Prevention and mitigation Reconfigurable intelligent surfaces Minimization Security Jamming Gain Signal to noise ratio

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Delay Considerations for Reliable Communications in LoRaWAN 19

Delay Considerations for Reliable Communications in LoRaWAN

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19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022

作者： Rydell, Joar Blom Otterlind, Oliver Butun, Ismail Chalmers University of Technology Department of Computer Science and Engineering GothenburgSE-412 96 Sweden Kth Royal Institute of Technology School of Electrical Engineering and Computer Science Division of Networks and Systems StockholmSE-100 44 Sweden

ISBN: (纸本)9781665431620

With the advent of the latest technologies, the Internet of Things (IoT) is the most widely used field in which billions of devices have been connected over the Internet. Long Range Wide Area Network (LoRaWAN) is among one of the most emerging technologies that deliver packets over very long-range with extremely low power consumption. However, it faces the problem of high latency. To cope with this problem, this paper aims to evaluate LoRaWAN in terms of latency by comparing how the default latency method that exists in LoRaWAN fair against an alternative method that has been researched and presented in the literature. Furthermore, having the concrete results of the latency will help companies to determine whether LoRaWAN is a suitable technology to use for Industrial IoT (IIoT) devices. Moreover, due to its backbone TCP/IP communication support, LoRaWAN will also facilitate the future architecture for the Web of Things (WoT). © 2022 IEEE.

关键词： Internet of things

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h5bench: A unified benchmark suite for evaluating HDF5 I/O performance on pre-exascale platforms

h5bench: A unified benchmark suite for evaluating HDF5 I/O p...

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作者： Bez, Jean Luca Tang, Houjun Breitenfeld, Scot Zheng, Huihuo Liao, Wei-Keng Hou, Kaiyuan Huang, Zanhua Byna, Suren Scientific Data Division Lawrence Berkeley National Laboratory BerkeleyCA United States HDF Group ChampaignIL United States Data Science Group Argonne National Laboratory LemontIL United States Electrical and Computer Engineering Department Northwestern University EvanstonIL United States Computer Science Department Northwestern University EvanstonIL United States Department of Computer Science and Engineering The Ohio State University OH United States

Parallel I/O is a critical technique for moving data between compute and storage subsystems of supercomputers. With massive amounts of data produced or consumed by compute nodes, high-performant parallel I/O is essential. I/O benchmarks play an important role in this process;however, there is a scarcity of I/O benchmarks representative of current workloads on HPC systems. Toward creating representative I/O kernels from real-world applications, we have created h5bench, a set of I/O kernels that exercise hierarchical data format version 5 (HDF5) I/O on parallel file systems in numerous dimensions. Our focus on HDF5 is due to the parallel I/O library's heavy usage in various scientific applications running on supercomputing systems. The various tests benchmarked in the h5bench suite include I/O operations (read and write), data locality (arrays of basic data types and arrays of structures), array dimensionality (one-dimensional arrays, two-dimensional meshes, three-dimensional cubes), I/O modes (synchronous and asynchronous). In this paper, we present the observed performance of h5bench executed along several of these dimensions on existing supercomputers (Cori and Summit) and pre-exascale platforms (Perlmutter, Theta, and Polaris). h5bench measurements can be used to identify performance bottlenecks and their root causes and evaluate I/O optimizations. As the I/O patterns of h5bench are diverse and capture the I/O behaviors of various HPC applications, this study will be helpful to the broader supercomputing and I/O community. © 2024 Lawrence Berkeley National Laboratory, The HDF Group, UChicago Argonne, LLC and The Authors. Concurrency and Computation: Practice and Experience published by John Wiley & Sons Ltd.

关键词： Supercomputers

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Heterogeneous Integration of Lithium Niobate and Silicon Photonics for Nonlinear Optics

Heterogeneous Integration of Lithium Niobate and Silicon Pho...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Palici, Alexandra Maria Lu, Xiyuan Srinivasan, Kartik Lu, Xinda Labbe, Fabien Ding, Yunhong Laroque, Hugo Hamerly, Ryan Errando-Herranz, Carlos Pu, Minhao Englund, Dirk Heuck, Mikkel Department of Electrical and Photonics Engineering Technical University of Denmark Lyngby2800 Denmark Microsystems and Nanotechnology Division Physical Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Joint Quantum Institute NIST University of Maryland College ParkMD20742 United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands

We demonstrate a hybrid device consisting of a thin film lithium niobate membrane transfer-printed onto a silicon nitride ring resonator. We measure quality factors in the 105 range at telecom wavelengths. CLEO 2024 &... 详细信息

ISBN: (纸本)9781957171395

关键词： Silicon nitride

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Editorial: Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC) 1

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3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication, MARC 2021

作者： Tomar, A. Malik, H. Kumr, P. Iqbal, A. ICE Division NSUT New Delhi India Johor Bahru Malaysia Department of Computer Science & Engineering KEC Mumbai India Department of Electrical Engineering Qatar University Doha Qatar

ISBN: (数字)9789811928284

ISBN: (纸本)9789811928277

Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the capability to imitate human behavior intelligently as per the task performed by the human. In the modern time, any organization implements AI by using ML so that system’s behavior of interchangeably and ambiguously is updated automatically through the experience without any delay. So, current advances in AI have involved ML. The ML starts with data (i.e., any kind of data starting from primary to secondary data). These data are collected and preprocessed to be used as training and testing the ML models being utilized for different applications such as regression, prediction, forecasting, classification, clustering, management, design, optimization, security, IoTs, health care, digitization, automation, control, privacy protection and e-commerce. In this book, the applications AI, ML and its advancement for different applications have been presented into different chapters, including the state-of-the-art and implementation in the various research domains of engineering and science. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Data Analytics

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Heterogeneous Integration of Lithium Niobate and Silicon Photonics for Nonlinear Optics

Heterogeneous Integration of Lithium Niobate and Silicon Pho...

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CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

关键词： Silicon photonics

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Three-Dimensional Shear Wave Elastography Using a 2D Row Column Addressing(RCA)Array

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Biomedical engineering Frontiers 2022年第1期3卷 337-347页

作者： Zhijie Dong Jihun Kim Chengwu Huang Matthew RLowerison U-Wai Lok Shigao Chen Pengfei Song Beckman Institute for Advanced Science and Technology University of Illinois Urbana-ChampaignUrbanaILUSA Department of Electrical and Computer Engineering University of Illinois Urbana-ChampaignUrbanaILUSA Division of ICT Convergence Engineering/Major in Electronic Engineering Kangnam UniversityRepublic of Korea Department of Radiology Mayo Clinic College of Medicine and ScienceRochesterMNUSA

*** develop a 3D shear wave elastography(SWE)technique using a 2D row column addressing(RCA)array,with either external vibration or acoustic radiation force(ARF)as the shear wave *** *** proposed method paves the way for clinical translation of 3D SWE based on the 2D RCA,providing a low-cost and high volume rate solution that is compatible with existing clinical *** is an established ultrasound imaging modality that provides a direct and quantitative assessment of tissue stiffness,which is significant for a wide range of clinical applications including cancer and liver *** requires high frame rate imaging for robust shear wave *** to the technical challenges associated with high volume rate imaging in 3D,current SWE techniques are typically confined to *** SWE from 2D to 3D is significant because of the heterogeneous nature of tissue,which demands 3D imaging for accurate and comprehensive ***.A 3D SWE method using a RCA array was developed with a volume rate up to 2000 *** performance of the proposed method was systematically evaluated on tissue-mimicking elasticity phantoms and in an in vivo case ***.3D shear wave motion induced by either external vibration or ARF was successfully detected with the proposed *** 3D shear wave speed maps were reconstructed for phantoms and in *** high volume rate 3D imaging provided by the 2D RCA array provides a robust and practical solution for 3D SWE with a clear pathway for future clinical translation.

关键词： Shear elasticity typically

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