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2024 Winter Simulation Conference, WSC 2024

作者： Abdurahman, Abubeker Hossain, Abrar Brown, Kevin A. Yoshii, Kazutomo Ahmed, Kishwar Dept of Electrical Engineering and Computer Science The University of Toledo ToledoOH United States Mathematics and Computer Science Division Argonne National Laboratory LemontIL United States

ISBN: (纸本)9798331534202

Efficient job scheduling and resource management contributes towards system throughput and efficiency maximization in high-performance computing (HPC) systems. In this paper, we introduce a scalable job scheduling and resource management component within the structural simulation toolkit (SST), a cycle-accurate and parallel discrete-event simulator. Our proposed simulator includes state-of-the-art job scheduling algorithms and resource management techniques. Additionally, it introduces a workflow management components that supports the simulation of task dependencies and resource allocations, crucial for workflows typical in scientific computing and data-intensive applications. We present validation and scalability results of our job scheduling simulator. Simulation shows that our simulator achieves good accuracy in various metrics (e.g., job wait times, number of nodes usage) and also achieves good parallel performance. © 2024 IEEE.

关键词： Job shop scheduling

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Damman grating for array pumping of single-longitudinal-mode YVO4laser 14

Damman grating for array pumping of single-longitudinal-mode...

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Holography, Diffractive Optics, and Applications XIV 2024

作者： Cao, Weilin Xie, Bin Zhang, Dawei Li, Jianlang School of Optical-Electrical Information and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China

ISBN: (纸本)9781510682085

The Dammann Grating (DG), a binary phase grating, efficiently divides incident light into equal-intensity sub-beams, making it ideal for beam splitting applications. In this research, an array-pumped, microchip Nd:YVO4 laser was explored by incorporating a DG into the collimation part of the pump optical path, to obtain single-longitudinal-mode (SLM) and multi-beam output at 1064 nm. As a result, 2×2 arrayed output of the laser was obtained with a total output power of 558.0 mW at 1.86-W pump power, exhibiting a slope efficiency of 36.3%, offering distinct advantages in SLM operation due to its thermal management capabilities in homogenizing thermal gradients and thus resulting in highpower operation with high beam quality. Except for the 2×2 array pumping, high-power SLM operation also can be expected by applying higher-order array pumping. © 2024 SPIE. All rights reserved.

关键词： Pumps

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Introduction to Quantum Multi-Agent Reinforcement Learning: Concepts and Applications 15

Introduction to Quantum Multi-Agent Reinforcement Learning: ...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Cho, Yeryeong Bin Son, Seok Park, Soohyun Kim, Joongheon Korea University Department of Electrical and Computer Engineering Seoul Korea Republic of Sookmyung Women's University Division of Computer Science Seoul Korea Republic of

ISBN: (纸本)9798350364637

Advancements in quantum computer hardware and software have paved the way for the application of quantum computing across various fields. With the development of computers with thousands of qubits, the power of quantum is increasing. Because of efficiency in high action dimensions, quantum computing has advantages in multi-agent fields where the amount of data is huge. At the same time, reinforcement learning (RL) has gained prominence for its potential in unknown environments. Consequently, the integration of quantum computing and multi-agent reinforcement learning (MARL), known as quantum multi-agent reinforcement learning (QMARL), is proposed. This paper introduces the overall concept and applications of quantum computing, MARL, and QMARL. It also shows the current technology trends depending on the application. In conclusion, the paper presents challenges and future research directions for QMARL and shows that QMARL can be utilized in various applications for excellent performance. © 2024 IEEE.

关键词： Quantum computers

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SMT-based Layout Synthesis for Silicon-based Quantum Computing with Crossbar Architecture 24

SMT-based Layout Synthesis for Silicon-based Quantum Computi...

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43rd International Conference on computer-Aided Design, ICCAD 2024

作者： Huang, Sheng-Tan Jiang, Ying-Jie Fang, Shao-Yun Cheng, Chung-Kuan Department of Electrical Engineering National Taiwan University of Science and Technology Taiwan Department of Computer Science and Engineering University of California San Diego United States

ISBN: (纸本)9798400710773

With the announcement of the most advanced silicon spin quantum-bit (qubit) chip by Intel, silicon-based quantum circuit manufacturing technology has shown the superior potential to realize quantum computing to other technologies because of the mature semiconductor manufacturing technologies and the compatibility with electronics. Due to the bottleneck in scalability caused by interconnections in silicon-based quantum circuits, crossbar architectures serve as one of the most promising solutions for circuitry implementation. This paper proposes the first satisfiability modulo theories (SMT) formulation to optimally solve the layout synthesis problem by simultaneously performing scheduling, mapping, and routing for silicon-based quantum systems with a specific crossbar architecture. The experiments demonstrate that the proposed method can effectively generate layout synthesis results with minimal usage of swap and shuttle gates within the shortest circuit depths, and the solutions greatly outperform those derived from a state-of-the-art work. © 2024 Copyright is held by the owner/author(s).

关键词： Qubits

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LG-FAL: Locality-customized GSA Federated Active Learning 15

LG-FAL: Locality-customized GSA Federated Active Learning

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15th IEEE International Conference on Knowledge Graph, ICKG 2024

作者： Wang, Shuwen Zhu, Xingquan Portland State University Department of Computer Science Portland United States Florida Atlantic University Dept. of Electrical Engineering & Computer Science Boca Raton United States

ISBN: (纸本)9798331508821

Federated Learning (FL) is a learning paradigm which constructs machine learning models using decentralized datasets, with the goal of training a globally optimized model while preserving data privacy. In practice, annotating training data for FL is expensive and time-consuming. To solve this problem, researchers proposed to integrate active Learning (AL) strategy as Federated Active Learning (FAL) framework. However, existing research on FAL has two main limitations: (1) In the active learning part, more attention is paid to the global model, while ignoring the local information;(2) In the federated learning part, the popular Federated averaging (FedAvg) method relies on the assumption that the corresponding nodes in distributed neural networks share the same importance when averaging. In this paper, in order to tackle the two limitations, we propose a locality-customized GSA federated active learning (LG-FAL) method. Specifically, (i) both local and global information are taken into consideration to evaluate and select informative data samples to annotate for active learning;(ii) we integrate Gravitational Search Algorithm (GSA) to dynamically average local network parameters into the global parameter, by mimicking the principles of gravity and motion in the universe, for effective federated learning. As a result, LG-FAL can select a small subset of informative samples considering both local and global information, and at the same time, provide an improved trade-off between communication cost and learning accuracy. Experimental results show that LG-FAL significantly outperforms the current state-of-the-art baselines in terms of performance and effectiveness. © 2024 IEEE.

关键词： Federated learning

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Design and Analysis of a 4-element Wideband MIMO Antenna for THz Applications 2

Design and Analysis of a 4-element Wideband MIMO Antenna for...

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2nd International Conference on Power, electrical, Electronics and Industrial Applications, PEEIACON 2024

作者： Jafor, Md. Shakiul Paul, Liton Chandra Mimi, Afsana Hossain, Md. Sadik Al Mamun, Md. Shajol Rahman, Md. Hasibur Department of Electrical and Electronic Engineering Pabna University of Science & Technology Electronic and Communication Engineering Department of Electrical Pabna Bangladesh Pundra University of Science & Technology Department of Computer Science & Engineering Bogura Bangladesh

ISBN: (纸本)9798331517984

In this work, initially a rectangular microstrip patch antenna measuring (94.8 × 110 × 10) μm3 with a polyamide substrate has been analyzed and developed. The antenna has a bandwidth of 170 GHz (1.98 - 2.15 THz) and is tuned to resonate at a frequency of 2.08 THz. Its return loss is -26.733 dB, radiation efficiency is 92%, and maximum gain is 6.35 dB. In addition, the MIMO technology has been implemented to improve performance. Its bandwidth is 210 GHz (1.98-2.19 THz), and it offers a reflection coefficient of -37.75 dB, a radiation efficiency of 95%, and a peak gain of 6.01 dB. The substrate of the four-element MIMO antenna measures (154.8x170x10) μm3. The HFSS platform has been used to perform the modelling and simulation. © 2024 IEEE.

关键词： Slot antennas

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A Lightweight and Robust User Authentication Protocol with User Anonymity for IoT-Based Healthcare

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computer Modeling in engineering & sciences 2022年第4期131卷 307-329页

作者： Chien-Ming Chen Shuangshuang Liu Shehzad Ashraf Chaudhry Yeh-Cheng Chen Muhammad Asghar khan College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China Department of Computer Engineering Istanbul Gelisim UniversityIstanbul34310Turkey Department of Computer Science University of CaliforniaDavisCA95616USA Department of Electrical Engineering Hamdard UniversityIslamabad44000Pakistan

With the rise of the Internet of Things(IoT),the word“intelligent medical care”has increasingly become a major *** medicine adopts the most advanced IoT technology to realize the interaction between patients and people,medical institutions,andmedical ***,with the openness of network transmission,the security and privacy of information transmission have become a major ***,Masud et *** a lightweight anonymous user authentication protocol for IoT medical treatment,claiming that their method can resist various ***,through analysis of the protocol,we observed that their protocol cannot effectively resist privileged internal attacks,sensor node capture attacks,and stolen authentication attacks,and their protocol does not have perfect forward ***,we propose a new protocol to resolve the security vulnerabilities in Masud’s protocol and remove some redundant parameters,so as tomake the protocolmore compact and *** addition,we evaluate the security and performance of the new protocol and prove that the overall performance of the new protocol is better than that of other related protocols.

关键词： IoT intelligent medical user authentication

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Class-Conditioned Transformation for Enhanced Robust Image Classification

Class-Conditioned Transformation for Enhanced Robust Image C...

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2025 IEEE/CVF Winter Conference on Applications of computer Vision, WACV 2025

作者： Blau, Tsachi Ganz, Roy Baskin, Chaim Elad, Michael Bronstein, Alex M. Technion - Israel Institute of Technology Deparrment of Computer Science Israel School of Electrical and Computer Engineering Ben-Gurion University of the Negev Israel

ISBN: (纸本)9798331510831

Robust classification methods predominantly concen-trate on algorithms that address a specific threat model, resulting in ineffective defenses against other threat models. Real-world applications are exposed to this vulnerability, as malicious attackers might exploit alternative threat models. In this work, we propose a novel test-time threat model agnostic algorithm that enhances Adversarial-Trained (AT) models. Our method operates through COnditional image transformation and DIstance-based Prediction (CODIP) and includes two main steps: First, we transform the input image into each dataset class, where the input image might be either clean or attacked. Next, we make a prediction based on the shortest transformed distance. The conditional transformation utilizes the perceptually aligned gradients property possessed by AT models and, as a result, elimi-nates the need for additional models or additional training. Moreover, it allows users to choose the desired balance between clean and robust accuracy without training. The proposed method achieves state-of-the-art results demon-strated through extensive experiments on various models, AT methods, datasets, and attack types. Notably, applying CODIP leads to substantial robust accuracy improvement of up to +23%, +20%, +26%, and +22% on CIFAR10, CIFAR100, ImageNet and Flowers datasets, respectively. For more details, visit the project page. © 2025 IEEE.

关键词： Image classification

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A High Gain Wide Band Compact Size Dual Band Patch Antenna for 5G Applications

A High Gain Wide Band Compact Size Dual Band Patch Antenna f...

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2023 IEEE International Conference on Emerging Trends in engineering, sciences and Technology, ICES and T 2023

作者： Azam, Tahir Tahir, Farooq Ahmed Sarwar, Asima Qayyum, Muhammad Aqib National University of Science and Technology School of Electrical Engineering and Computer Science Islamabad Pakistan GIK Institute of Engineering Sciences and Technology Faculty of Computer Science and Engineering Topi Swabi Pakistan

ISBN: (纸本)9781665455602

This paper presents a high gain, compact size and dual band rectangular patch antenna for 5G applications. To enhance the gain of antenna, an equilateral triangle slots on the upper rectangular patch are constructed. The broadband antenna is operating at 27.4 GHz to 35.5 GHz and 38GHz to 41.8GHz having fractional bandwidth of 25.7% and 9% respectively. The maximum gain of 8.19 dBi is observed at 28 GHz and the antenna has radiation efficiency greater than 90% over the entire band. Moreover, the Voltage Standing Wave Ratio (VSWR) is lower than 2 dB at operational bands. © 2023 IEEE.

关键词： Radiation efficiency

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Object Detection Enhancement Based on Super-Resolution Mapping 31

Object Detection Enhancement Based on Super-Resolution Mappi...

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31st International Conference on electrical engineering, ICEE 2023

作者： Abyazi, Danial Abyazi, Dadfar Yazdi, Mehran Institute for Advanced Studies in Basic Science University Department of Computer Engineering Zanjan Iran Shiraz University Department of Electrical and Computer Engineering Shiraz Iran School of Electrical and Computer Engineering Shiraz Uniersity Shiraz Iran

ISBN: (纸本)9798350312560

Object detection, while being a key step in many applications, has remained challenging, mainly due to the different resolutions of objects in an image. On the other hand, Super-Resolution (SR) approaches have recently been developed to improve the resolution of an image. In this paper, we utilize SR to enhance the quality of images before applying them to a detection model and propose a structure where the detection performance is improved. Furthermore, we remove the image noises by SR methods. Comparisons depict the superior visual performance of the proposed method compared to the conventional detection models. We evaluate our proposed method for detection of solar panels in two countries. To this aim, we created a dataset of satellite images needed for implementing detection models. As a result, we can simply evaluate the usage of solar panels in countries. © 2023 IEEE.

关键词： Object detection

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