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International Conference on Parallel and Distributed systems (ICPADS)

作者： Ziming Chen Quan Deng Yongwen Wang College of Computer National University of Defense Technology Changsha China Key Laboratory of Advanced Microprocessor Chips and Systems

Vector multiplication is widely used in real-world applications. To accelerate vector multiplication, processing-in-memory-based domain-specific architectures leverage lookup tables (LUTs) to decrease the computational complexity of multi-plication. However, the overhead of LUTs increases exponentially with the result space, which throttles the system *** decouple the LUT size and the performance improvement, we make a trade-off between accuracy and performance. We propose fast approximate LUT-based vector multiplication in DRAM, which builds the partial LUT of higher-bit locations and reuses the LUT to calculate the lower-bit data. We propose an operand reorganizing optimization to group more zero, which does not affect the results. To reduce the LUT and pre-calculation cost further, we propose a value encoding. Our experiment shows that the performance of the proposed design can be improved by 4x and 1.25x compared with LAcc in AlexNet and MobileNetV2 without any accuracy loss, respectively. Besides, the performance of the proposed design improves by up to 3.74x compared with pLUTo in multi-vector multiplication. The area and power of the proposed design are 54.8mm 2 and 5.35W, respectively.

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MAC Protocols for UAV-Aided Relaying Optical Ground-to-HAP Networks

MAC Protocols for UAV-Aided Relaying Optical Ground-to-HAP N...

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International Conference on Advanced Technologies for Communications, ATC

作者： Tien H. Do Huy Q. Nguyen Hoang D. Le Hien T. T. Pham Thang V. Nguyen Ngoc T. Dang Wireless Systems and Applications Lab. Posts and Telecommunications Institute of Technology Hanoi Vietnam Computer Communications Laboratory The University of Aizu Aizuwakamatsu Japan

ISBN: (数字)9798350353983

ISBN: (纸本)9798350353990

Air-ground integrated network (AGIN) incorporating high-altitude platforms (HAP), unmanned aerial vehicles (UAV), and ground base stations (BS) has been recently rec-ognized as a promising architecture for 6G wireless networks. In addition, free-space optical (FSO) technology has shown its potential for delivering exceptionally high-speed data connections over a long distance. While previous works on FSO-based AGIN mainly focused on point-to-point connectivity, this study instead addresses the context of multiple users. This, in turn, raises concerns about the effective multiple access control (MAC) protocol design. In this study, we analyze the performance of MAC protocols, which jointly employ the rate adaptation and bandwidth allocation, in FSO-based AGIN. Particularly, we exploit the performance of different rate adaptation/bandwidth allocation-based MAC protocols for UAV-aided relaying between multiple BSs and HAP via FSO links. Performance metrics are analytically obtained based on Markov models, including frame loss probability, system throughput and average delay. Numerical results offer insights for properly choosing MAC protocols for FSO-based AGIN towards 6G wireless networks.

关键词： Optical losses Measurement Protocols Free-space optical communication Wireless networks Media Access Control Throughput Autonomous aerial vehicles Delays Numerical models

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Cramér-Rao bounds of near-field positioning based on electromagnetic propagation model

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IEEE Transactions on Vehicular technology 2023年第11期72卷 13808-13825页

作者： Chen, Ang Chen, Li Chen, Yunfei You, Changsheng Wei, Guo Yu, F. Richard University of Science and Technology of China CAS Key Laboratory of Wireless Optical Communication Hefei230027 China University of Durham Department of Engineering DurhamDH1 3LE United Kingdom Southern University of Science and Technology Department of Electronic and Electrical Engineering Shenzhen518055 China Carleton University Department of Systems and Computer Engineering OttawaONK1S 5B6 Canada

The adoption of large-scale antenna arrays at high-frequency bands is widely envisioned in the beyond 5G wireless networks. This leads to the near-field regime where the wavefront is no longer planar but spherical, bringing new opportunities and challenges for communications and positioning. In this article, we improve the near-field positioning technology from the classical spherical wavefront model (SWM) to the more accurate and true electromagnetic propagation model (EPM). A generic near-field positioning model with different observation capabilities for three electric field types (vector, scalar, and overall scalar electric field) is developed based on the complete EPM. For these three observed electric field types, the Cramér-Rao bound (CRB) is adopted to evaluate the achievable estimation accuracy. The expressions of the CRBs for different electric field observations are derived by combining electromagnetic propagation concepts with estimation theory. Closed-form expressions can be further obtained as the terminal is assumed to be on the central perpendicular line (CPL) of the receiving antenna surface. Moreover, the above discussions are extended to the system with multiple receiving antennas. In this case, the CRBs using various electric field types are derived and the effect of different numbers of receiving antennas is deeply investigated. Numerical results are provided to quantify the CRBs and validate the analytical results. Also, the impact of different system parameters, including electric field type, wavelength, size of the receiving antenna, and number of antennas, is evaluated. © 1967-2012 IEEE.

关键词： Electric fields

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Optimizing Value Prediction for Ilp Processors: A Design Space Exploration Approach

SSRN

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SSRN 2024年

作者： Yang, Ling Zheng, Zhong Huang, Libo Yan, Run Ma, Sheng Wang, Yongwen Xu, Weixia School of Computer National University of Defense Technology Changsha410073 China Key Laboratory of Advanced Microprocessor Chips and Systems Changsha410073 China

Value prediction is a microarchitectural technique that enhances processor performance by speculatively breaking true data dependencies. It has demonstrated improved performance in both single-threaded and multi-threaded workloads, rendering it an appealing microarchitectural approach. While high-performance value predictors can achieve impressive accuracy, they may also incur significant costs in terms of area, power consumption, and complexity. Therefore, there is a demand for lightweight value prediction techniques capable of striking a favorable balance between performance and overhead. However, designing value predictors with superior performance using limited resources presents an urgent challenge. Consequently, this work proposes a design space exploration framework for the state-of-the-art EVES value predictor, aiming to efficiently configure the design parameters of the value predictor within constrained RAM resources. Additionally, the article evaluates the performance of the explored value predictor across a wide range of workloads. The explored value predictors exhibit high efficiency across RAM sizes ranging from 2KB to 16KB while maintaining acceptable computational complexity. Furthermore, the results indicate that the explored value predictor achieves optimal efficiency under the 2KB constraint, with the highest acceleration-to-cost ratio reaching 8.74% /KB, approximately three times greater than that of the current state-of-the-art value predictor. © 2024, The Authors. All rights reserved.

关键词： Forecasting

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Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data

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Intelligent Medicine 2024年第3期4卷 170-176页

作者： Bijan Roudini Boshra Khajehpiri Hamid Abrishami Moghaddam Mohamad Forouzanfar Department of Systems Engineering School of Advanced TechnologyUniversity of QuebecMontrealCanada Machine Vision and Medical Image Processing(MVMIP)Laboratory Faculty of Electrical and Computer EngineeringK.N.Toosi University of TechnologyTehranIran Research Center of the Montreal University Institute of Geriatrics MontrealCanada

Background Precise estimation of current and future comorbidities of patients with cardiovascular disease is an important factor in prioritizing continuous physiological monitoring and new *** learning(ML)models have shown satisfactory performance in short-term mortality prediction in patients with heart disease,whereas their utility in long-term predictions is *** study aimed to investigate the performance of tree-based ML models on long-term mortality prediction and effect of two recently introduced biomarkers on long-term *** This study used publicly available data from the Collaboration Center of Health Information Appli-cation at the Ministry of Health and Welfare,Taiwan,*** collected data were from patients admitted to the cardiac care unit for acute myocardial infarction(AMI)between November 2003 and September *** collected and analyzed mortality data up to December *** records were used to gather demo-graphic and clinical data,including age,gender,body mass index,percutaneous coronary intervention status,and comorbidities such as hypertension,dyslipidemia,ST-segment elevation myocardial infarction,and non-ST-segment elevation myocardial *** the data,collected from 139 patients with AMI,from medical and demographic records as well as two recently introduced biomarkers,brachial pre-ejection period(bPEP)and brachial ejection time(bET),we investigated the performance of advanced ensemble tree-based ML algorithms(random forest,AdaBoost,and XGBoost)to predict all-cause mortality within 14 years.A nested cross-validation was performed to evaluate and compare the performance of our developed models precisely with that of the conventional logistic regression(LR)as the baseline *** The developed ML models achieved significantly better performance compared to the baseline LR(C-Statistic,0.80 for random forest,0.79 for AdaBoost,and 0.78 for XGBoost,vs.0.77 for LR)(PRF<0.001,PAdaBoost<0.001,a

关键词： Electrocardiogram Predication Mortality prediction Machine learning

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Mechanical Design with Experimental Verification of a Lightweight Exoskeleton Chair

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Journal of Bionic Engineering 2021年第2期18卷 319-332页

作者： Zihao Du Zefeng Yan Tiantian Huang Ou Bai Qin Huang Bin Han State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan 430074China Human Cyber-Physical Systems Laboratory Department of Electrical and Computer EngineeringFlorida International UniversityMiami 33174USA Department of Rehabilitation Medicine Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China

In this study,a human-chair model was developed as the basis for a wearable-chair design.A prototype chair,HUST-EC,based on the model was fabricated and *** the optimization under the golden divisional method,an optimized simulation of the operating mode with the lowest chair height was implemented.A novel multi-link support structure has been established with parameters optimized using Matlab *** stress analysis of the solid models was conducted to ensure the adequate support from the designed chair for the *** subjects participated in the evaluation experiment,who performed both static tasks and dynamic *** experimental results consisted of subjective evaluation and objective *** experimental data demonstrate that(1)the HUST-EC can effectively reduce the activation level of related muscles at a variety of tasks;(2)the plantar pressure was reduced by 54%–67%;(3)the angle between the upper body and the vertical axis was reduced by 59%–77%;(4)the subjective scores for chair comfortability,portability,and stability were all higher than *** results further revealed that the designed chair can reduce the musculoskeletal burden and may improve work efficiency.

关键词： exoskeleton wearable chair bionic robot mechanism design ergonomics

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Optical Intelligent Reflecting Surface-Assisted Multiple Users over Turbulence Channels

Optical Intelligent Reflecting Surface-Assisted Multiple Use...

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IEEE International Conference on Research, Innovation and Vision for the Future

作者： Phong D. Pham Cuong K. P. Nguyen Hoang D. Le Hien T. T. Pham Thang V. Nguyen Ngoc T. Dang Wireless Systems and Applications Lab. Posts and Telecommunications Institute of Technology Hanoi Vietnam Computer Communications Laboratory The University of Aizu Aizuwakamatsu Japan

ISBN: (数字)9798331505073

ISBN: (纸本)9798331505080

Free-space optical (FSO) communication, with its massive bandwidth, has established a reputation for delivering extremely high-speed connections. The use of an intelligent reflecting surface (IRS) in FSO systems is an innovative approach to overcoming the inherent limitations of line-of-sight connectivity. This paper addresses the optical IRS (OIRS)-assisted FSO systems to provide high-speed internet of vehicles (IoV). Notably, the space division multiple access (SDMA) protocol is employed by a single OIRS to support multiple users. Performance metrics, including system outage and average bit error rate (BER), are analytically analyzed, taking into account the combined effects of interference from OIRS regions, pointing errors, and atmospheric turbulence. Numerical results exploit the proper OIRS region to maximize the performance of OIRS-based SDMA FSO systems.

关键词： Fading channels Free-space optical communication Ultraviolet sources Bit error rate Optical attenuators Interference Adaptive optics Optical reflection Multiaccess communication High-speed optical techniques

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Efficient and Secure Federated Knowledge Transfer Under Non-IID Settings in IoT

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IEEE Internet of Things Journal 2025年第13期12卷 24644-24655页

作者： Liu, Shuying Xie, Rongpeng Miao, Yinbin Peng, Jinye Leng, Tao Liu, Zhiquan Choo, Kim-Kwang Raymond Northwest University School of Information Science and Technology Xi’an710119 China Xian Yang Normal University Department of Computer Xian Yang712000 China Xidian University School of Cyber Engineering Xi’an710071 China Sichuan Police College Intelligent Policing Key Laboratory of Sichuan Province Luzhou646000 China Jinan University College of Cyber Security Guangzhou510632 China Technology Ltd Beijing100020 China The University of Texas at San Antonio Department of Information Systems and Cyber Security San AntonioTX78249 United States

In the era of Internet of Things (IoT) and Federated Learning (FL), where distributed training models are essential, the FL paradigm has come into the spotlight for researchers. However, the inconsistency in the sources of client data and Non-Independent and Identically Distributed (Non-IID) heterogeneous characteristics lead to loss in model accuracy. Existing method which attempts to homogenize data distribution among clients based on Generative Adversarial Networks (GANs) incurs high computation overheads on clients in IoT. In this paper, we propose a lightweight Feature Prototype Knowledge Transfer (FPKT) mechanism. By capturing the essence of data categories, FPKT generates pseudo-features without requiring the original data features, thereby efficiently enhancing model accuracy. We formally prove that FPKT resists Chosen Plaintext Attack (CPA) and experiments demonstrate that our scheme achieves a hundredfold increase in computational efficiency and improves model accuracy by up to 40%. © 2014 IEEE.

关键词： Federated learning

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On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach

arXiv

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arXiv 2025年

作者： Liu, Yuhan Kiss, Máté Tóth, Roland Schoukens, Maarten Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Systems and Control Laboratory HUN-REN Institute for Computer Science and Control Budapest1111 Hungary

While optimal input design for linear systems has been well-established, no systematic approach exists for nonlinear systems, where robustness to extrapolation/interpolation errors is prioritized over minimizing estimated parameter variance. To address this issue, we develop a novel identification-oriented space-filling input design strategy for efficient covering of a well-defined region of interest. By placing a Gaussian Process (GP) prior on the joint input-state space, the proposed strategy leverages the GP posterior variance to construct a space-filling promoting input design cost function from the Bayesian point of view. This accordingly enables maximization of the coverage in the region of interest, thereby facilitating the generation of informative datasets. Furthermore, we theoretically prove that minimization of the cost function indicates the space-filling behavior. The effectiveness of the proposed strategy is demonstrated on both an academic example and a mass-spring-damper system, highlighting its potential practical impact on efficient exploration in identification scenarios for nonlinear dynamical systems. © 2025, CC BY-NC-SA.

关键词： Cost functions

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Peridynamic-based modeling of elastoplasticity and fracture dynamics

Peridynamic-based modeling of elastoplasticity and fracture ...

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作者： Wang, Haoping Wang, Xiaokun Xu, Yanrui Zhang, Yalan Yao, Chao Guo, Yu Ban, Xiaojuan School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China Faculty of Science and Engineering University of Groningen Groningen Netherlands School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Beijing Advanced Innovation Center for Materials Genome Engineering School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China Key Laboratory of Intelligent Bionic Unmanned Systems Ministry of Education University of Science and Technology Beijing Beijing China Institute of Materials Intelligent Technology Liaoning Academy of Materials Shenyang China

This paper introduces a particle-based framework for simulating the behavior of elastoplastic materials and the formation of fractures, grounded in Peridynamic theory. Traditional approaches, such as the Finite Element Method (FEM) and Smoothed Particle Hydrodynamics (SPH), to modeling elastic materials have primarily relied on discretization techniques and continuous constitutive model. However, accurately capturing fracture and crack development in elastoplastic materials poses significant challenges for these conventional models. Our approach integrates a Peridynamic-based elastic model with a density constraint, enhancing stability and realism. We adopt the Von Mises yield criterion and a bond stretch criterion to simulate plastic deformation and fracture formation, respectively. The proposed method stabilizes the elastic model through a density-based position constraint, while plasticity is modeled using the Von Mises yield criterion within the bond of particle paris. Fracturing and the generation of fine fragments are facilitated by the fracture criterion and the application of complementarity operations to the inter-particle connections. Our experimental results demonstrate the efficacy of our framework in realistically depicting a wide range of material behaviors, including elasticity, plasticity, and fracturing, across various scenarios. © 2024 John Wiley & Sons Ltd.

关键词： Elastoplasticity

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