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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference

作者： Zhirui Hu Youzuo Lin Qiang Guan Weiwen Jiang Electrical and Computer Engineering Department George Mason University Fairfax VA US and Quantum Science and Engineering Center George Mason University Fairfax VA US Earth and Environmental Sciences Division Los Alamos National Laboratory NM US Department of Computer Science Kent State University Kent OH

ISBN: (纸本)9798350323481

Recently, we have been witnessing the scale-up of superconducting quantum computers; however, the noise of quantum bits (qubits) is still an obstacle for real-world applications to leveraging the power of quantum computing. Although there exist error mitigation or error-aware designs for quantum applications, the inherent fluctuation of noise (a.k.a., instability) can easily collapse the performance of error-aware designs. What's worse, users can even not be aware of the performance degradation caused by the change in noise. To address both issues, in this paper we use Quantum Neural Network (QNN) as a vehicle to present a novel compression-aided framework, namely QuCAD, which will adapt a trained QNN to fluctuating quantum noise. In addition, with the historical calibration (noise) data, our framework will build a model repository offline, which will significantly reduce the optimization time in the online adaption process. Emulation results on an earthquake detection dataset show that QuCAD can achieve 14.91% accuracy gain on average in 146 days over a noise-aware training approach. For the execution on a 7-qubit IBM quantum processor, ibm-jakarta, QuCAD can consistently achieve 12.52% accuracy gain on earthquake detection.

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Efficient Super-Resolution for Compression Of Gaming Videos 48

Efficient Super-Resolution for Compression Of Gaming Videos

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Wang, Yifan Murn, Luka Herranz, Luis Yang, Fei Mrak, Marta Zhang, Wei Wan, Shuai Blanch, Marc Gorriz Xidian University School of Telecommunications Engineering Xi'an China Bbc Research & Development London United Kingdom Computer Vision Center Barcelona Spain Universitat Autònoma de Barcelona Barcelona Spain Peng Cheng Laboratory Artificial Intelligence Research Center Shenzhen China Northwestern Polytechnical University School of Electronics and Information Xi'an China

ISBN: (纸本)9781728163277

Due to the increasing demand for game-streaming services, efficient compression of computer-generated video is more critical than ever, especially when the available bandwidth is low. This paper proposes a super-resolution framework that improves the coding efficiency of computer-generated gaming videos at low bitrates. Most state-of-the-art super-resolution networks generalize over a variety of RGB inputs and use a unified network architecture for frames of different levels of degradation, leading to high complexity and redundancy. Since games usually consist of a limited number of fixed scenarios, we specialize one model for each scenario and assign appropriate network capacities for different QPs to perform super-resolution under the guidance of reconstructed high-quality luma components. Experimental results show that our framework achieves a superior quality-complexity trade-off compared to the ESRnet baseline, saving at most 93.59% parameters while maintaining comparable performance. The compression efficiency compared to HEVC is also improved by more than 17% BD-rate gain. © 2023 IEEE.

关键词： Cloud gaming quality-complexity trade-off super-resolution video compression video streaming

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Briefing of pulmonary sarcoidosis: Reduction-oxidation, misleading and possibilities

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Indian Journal of Tuberculosis 2025年第1期72卷 103-111页

作者： Habib, Irfan Jawed, Junaid Jibran Nasrin, Tina Shaikh, Soni Department of Internal Medicine College of Medicine and JNM Hospital WB India Institute of Health Sciences Presidency University-2nd Campus DG/02/02 New Town Rajarhat Kolkata 700156 India Dept. of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Laboratory of Histopathology TATA MEDICAL CENTER 14 MAR (E-W) New Town Rajarhat Kolkata 700160 India

Sarcoidosis is an inflammatory disease with limited treatment strategies and is characterized by the presence of abnormal lumps (granulomas) of the inflammatory cells. Among the types, pulmonary sarcoidosis most commonly occurs (about 90%), affecting the lungs and intrathoracic lymph nodes. Although the cause of its occurrence is still unknown, perhaps microbes and chemical exposures, as well as genetic history, may trigger the disease occurrence. The updated scenario also depicted the interconnection between oxidative stress and pulmonary sarcoidosis. Thus, the therapeutic value of the genetic consequences, as well as the redox status of pulmonary sarcoidosis, are under consideration. In addition, sarcoidosis complexity has been associated with tumor malignancy and tuberculosis. Therefore, in this review, we summarized the current status of pulmonary sarcoidosis, interference of lung cancer and tuberculosis complications, understanding of the role of reactive species in disease occurrence, and how they are associated with genetic features. © 2024 Tuberculosis Association of India

关键词： miRNA Oxidative stress Pulmonary ROS Sarcoidosis

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A Stability Condition for Asynchronous and Aperiodic Sampled-Data Cyber-Physical Systems Under DoS Attacks

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 397-407页

作者： Chen, Liuyu Zhang, Xiaodan Xiao, Feng North China Electric Power University School of Control and Computer Engineering Beijing102206 China North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China

This paper is concerned with the stability problem of cyber-physical systems (CPSs) exposed to denial-of-service (DoS) attacks. In-depth analysis and discussion are made under practical constraints of asynchronous and aperiodic sampling with measurement errors. DoS attacks, which are supposed to be aperiodic, interrupt communication on control channels. A sufficient condition in terms of DoS attack duration and frequency is derived to guarantee the asymptotic stability of the system by combining the Lyapunov's method, inequality techniques and an iterative method. The stability result is applicable to the estimation of the maximum allowable sampling intervals which are closely related to the convergence speed, and characterizes the trade-off between communication resources and stability performance. Finally, the effectiveness of the theoretical analysis is verified by two simulation examples. © 2023 IEEE.

关键词： Asymptotic stability

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Research on Black-Box Adversarial Attack Based on Transformer 4

Research on Black-Box Adversarial Attack Based on Transforme...

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4th International Conference on Frontiers Technology of Information and computer, ICFTIC 2022

作者： Zheng, Wenjuan Luo, Hanxu Ji, YuXin Li, Haipeng Cong, Longjian National Key Laboratory of Aerospace Intelligent Control Technology Master of Computer Vision Beijing100854 China Beijing Aerospace Automatic Control Institute Beijing100854 China Wuhan University of Technology Department of Information Engineering Hubei Province Wuhan430000 China

ISBN: (纸本)9798350321951

The classic adversarial samples of black-box attacks are all aimed at the models of Convolutional neural networks (CNNs), but they do not perform well on the new recognition networks based on Transformer. In this paper, we propose an adversarial sample generation algorithm based on vision transformers (VITs)' self-attention mechanism and patch partition. We noticed that different blocks in the VIT have uneven attention distribution, so we first generated a patch-based attention map and performed threshold segmentation, which is used as a mask to perform data enhancement operations based on patches with high weight and patches with low weight, and then exchanged information between patches to generate adversarial samples. The experiment of simulating black-box attack shows that the adversarial samples generated by the algorithm in this paper have a high success rate in all kinds of models based on Transformer of attacks, and also perform well on CNNs. © 2022 IEEE.

关键词： Convolutional neural networks

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Optical image processing using acousto-optic modulators as programmable volume holograms: a review [Invited]

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Chinese Optics Letters 2022年第2期20卷 24-33页

作者： Yaping Zhang Houxin Fan Ting-Chung Poon Yunnan Provincial Key Laboratory of Modern Information Optics Kunming University of Science and TechnologyKunming 650500China The Bradley Department of Electrical and Computer Engineering Virginia TechBlacksburgVirginia 24061USA

Bragg processing using a volume hologram offers an alternative in optical image processing in contrast to Fourier-plane processing. By placing a volume hologram near the object in an optical imaging setup, we achieve Bragg processing. In this review, we discuss various image processing methods achievable with acousto-optic modulators as dynamic and programmable volume holograms. In particular, we concentrate on the discussion of various differentiation operations leading to edge extraction capabilities.

关键词： optical image processing edge extraction acousto-optics volume gratings

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Computing Power in the Sky: Digital Twin-assisted Collaborative Computing with Multi-UAV Networks

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IEEE Transactions on Vehicular Technology 2025年

作者： Wang, Chao Han, Yu Zhang, Long Jia, Ziye Zhang, Hongliang Hong, Choong Seon Han, Zhu Hebei University of Engineering School of Information and Electrical Engineering Handan056038 China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Jinan250014 China Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing211106 China Southeast University National Mobile Communications Research Laboratory Jiangsu Nanjing211111 China Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Kyung Hee University Department of Computer Science and Engineering Gyeonggi-do Yongin-si17104 Korea Republic of University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

The collaboration of computing powers (CPs) among unmanned aerial vehicles (UAVs)-mounted edge servers is essential to handle data-intensive tasks of user equipments (UEs). This paper presents a multi-UAV computing power network (CPN) that orchestrates the CP resources of edge servers to cooperatively process tasks through collaborative computing. Due to the frequent interactions among edge servers and the increased complexities for large-scale task executions, we propose a digital twin (DT)-driven multi-UAV CPN framework, where the aerial DT network is created as a digital replica of the multi-UAV network to assist collaborative computing. A joint optimization problem of the service association, offloading power control, task partitions, CP allocation, and UAV trajectory design is formulated to minimize the long-term average delay of UEs. We use the Lyapunov technique to tackle the long-term energy constraint, forming a tractable optimization problem, which is modeled as a Markov decision process to balance the UAV's deficit queue stability and the UE's task completion delay. A hybrid soft actor-critic based deep reinforcement learning algorithm is developed to optimize the joint design by sampling the hybrid action from the Gumbel and Gaussian distributions. Simulation results verify that the multi-UAV CPN contributes to significant performance gains when supported by DTs. © 2025 IEEE.

关键词： Markov processes

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UAS Traffic Management: Integrating Weather Information using System Adaptability

UAS Traffic Management: Integrating Weather Information usin...

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Annual IEEE Systems Conference

作者： William Brooks V. Chandrasekar Rob Cifelli Systems Engineering Department Colorado State University Ft. Collins CO Electrical and Computer Engineering Department Colorado State University Ft. Collins CO NOAA Physical Sciences Laboratory Boulder CO

ISBN: (数字)9798331508180

ISBN: (纸本)9798331508197

Unmanned Aerial Vehicles (UAVs), or drones, are becoming increasingly prevalent in the commercial and defense sectors, operating throughout the continental United States airspace. UAVs have wing sizes ranging from 0.25 centimeters to 61 meters, and they perform a myriad of roles from job site surveillance to 3D mapping of agricultural fields. However, a UAV is not a standalone system, but joins a ground control system, pilot and communications network to form an Unmanned Aircraft System (UAS) platform. With the various UAS platforms of different UAV sizes and missions, the Federal Aviation Administration (FAA) is developing a UAS Traffic Management (UTM) system to safely integrate them into the airspace. UAS ground systems require ingestion, processing, compilation and dissemination of weather data specific to a local area. The NOAA Advanced Quantitative Precipitation Information (AQPI) system has proven to reliably perform these functions. Expanding the mission for a system changes the requirements originally used to design the system. The ability of a system to adjust is the foundation of System Adaptability. Using the concept of System Adaptability and leveraging the existing Digital Twin of the Bay Area AQPI, this paper presents the theoretical application of adapting the San Francisco Bay Area AQPI system to provide meteorological information to UAS platforms operating under the Bay Area UTM.

关键词： Meters Three-dimensional displays Precipitation Surveillance FAA Autonomous aerial vehicles Systems engineering and theory Reliability engineering Digital twins National Oceanic and Atmospheric Administration

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ISAR Imaging of Near-Shore Maritime Vessels using a Low-Cost X-band Radar

ISAR Imaging of Near-Shore Maritime Vessels using a Low-Cost...

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IEEE SENSORS

作者： Nicole Pham Dylan Wesen John Mower Matthew S. Reynolds Department of Electrical & Computer Engineering University of Washington Seattle WA USA Department of Mechanical Engineering University of Washington Seattle WA USA Applied Physics Laboratory University of Washington Seattle WA USA

ISBN: (数字)9798350363517

ISBN: (纸本)9798350363524

This study presents a demonstration of using a low-cost off-the-shelf X-band radar system for ISAR imaging of maritime vessels. The system consisted of the CN0566 kit from Analog Devices, a WR-102 horn antenna, and a computer. The radar receiver consisted of an Analog Devices CN0566 X-band dual 8 element linear array of 98 mm aperture, while the transmitter antenna was a 15 dB gain horn. The radar bandwidth was 500 MHz resulting in an ISAR image resolution of 0.3 m in range and 0.66 m in cross-range. Data was collected on two boats passing by the radar. Images were focused using simple track estimation, and the resulting images were reasonable representations of the vessel dimensions.

关键词： Solid modeling Adaptation models Horn antennas Imaging Boats Radar imaging Radar antennas Radar tracking Sensors Linear antenna arrays

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Virtual Reality Solutions for Troubleshooting Autonomous Industrial Mobile Robots

Virtual Reality Solutions for Troubleshooting Autonomous Ind...

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International Symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Cihat Talat Akpinar Özcan Koşar Akif Durdu Computer Engineering Research and Development Elfatek Elektronik Ltd. Co. Konya Turkey Department of Electrical and Electronics Engineering Robotics Automation Control Laboratory (RAC-LAB) Konya Technical University Konya Turkey

ISBN: (数字)9798331515799

ISBN: (纸本)9798331515805

This study aims to develop a virtual reality (VR) application to improve the fault detection and troubleshooting processes of autonomous industrial mobile robots. The complex systems and operating environments of autonomous robots make fault detection challenging for users, requiring effective and user-friendly solutions to overcome these difficulties. In this context, the Robot Operating System (ROS) was utilized to detect errors in robots and record these errors in a database. Thanks to the modular structure and robust communication infrastructure offered by ROS, faults in the robots were monitored and analyzed through ROS *** study demonstrates the effective use of VR technology in the maintenance and repair processes of autonomous industrial mobile robots. By integrating ROS-based data collection and fault detection into a VR environment for user training, robot operators are enabled to troubleshoot faults more quickly and effectively. In this way, it is aimed to achieve time and cost savings in industrial processes.

关键词： Training Service robots Databases Fault detection Operating systems Virtual reality Maintenance engineering Maintenance Mobile robots Monitoring

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