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2024 International Conference on Artificial Intelligence of Things and systems, AIoTSys 2024

作者： Zhu, Biaokai Jia, Yupeng Wang, Zhonghao Wen, Jiawei Liu, Xinle Zhao, Shijia Xu, Qiongyue Song, Jie Li, Ping Liu, Sanman Li, Feng Zhao, Jumin Shanxi Police College Taiyuan University of Technology Taiyuan China Shanxi Police College Cyber Security Department Taiyuan China Intelligent Policing Key Laboratory of Sichuan Province Sichuan Police College Luzhou China School of Computer Science and Technology Anhui University Hefei China Taiyuan University of Technology Taiyuan China College of Information and Computer Taiyuan University of Technology Jinzhong China

ISBN: (纸本)9798331507886

With the development of LPWAN technology, LoRa, one of the typical representatives, is widely used in various communication scenarios. At the same time, it is also faced with problems such as difficulty in identifying the terminal equipment and the easy mistake and confusion. The industry has widely valued LoRa RF fingerprint recognition technology, which has become a security focus that cannot be ignored. Most recent research on terminal recognition has been carried out by multi-class feature fusion. Still, it needs help with high computational complexity, significant noise and other external interference factors, and harrowing feature extraction. We propose a time-frequency feature analysis method based on GAF and MTF. The time-domain features are transformed into two-dimensional images using the Gram Angle field and Markov transfer field. The spectral graph has both time-domain and frequency-domain characteristics, and the feature probability distribution in the images is intuitively analyzed. Finally, we design a deep neural network model based on CNN improvement. It can accurately extract and classify the features contained in multi-Time frequency. Our experiments show that a 97% recognition rate can be achieved in an indoor environment, and a 90% recognition accuracy can be achieved in an outdoor environment in time. © 2024 IEEE.

关键词： Frequency domain analysis

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Low-noise Microwave Signal Generation by Heterodyning Two Narrow-linewidth Self-injection Locked Lasers

Low-noise Microwave Signal Generation by Heterodyning Two Na...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Fan, Yihao Siyu, E. Guo, Yuyao Li, Xinhang Lu, Liangjun Wang, Shuxiao Cai, Yan Chen, Jianping Zhou, Linjie State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China Shanghai Industrial μTechnology Research Institute Shanghai201800 China

We realize a hybrid integrated self-injection locking laser (SIL) with an ultra-narrow intrinsic linewidth of 5 Hz. With heterodyne synthesis using a pair of SILs, a microwave signal with a 4-kHz linewidth is achieved... 详细信息

关键词： Linewidth

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Service-Based Event Penetration from IoT Sensors to Businesses: a Case Study

Service-Based Event Penetration from IoT Sensors to Business...

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2022 CCF International Conference on Service science, CCF ICSS 2022

作者： Wang, Guiling Fang, Jun Wang, Jing Yu, Jian Zhang, Liang Han, Yanbo Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data Beijing China North China University of Technology School of Information Science and Technology Beijing China Auckland University of Technology Department of Computer Science Auckland New Zealand Shanghai Key Laboratory of Data Science Shanghai China Shanghai Institute of Intelligent Electronics & Systems Shanghai China

ISBN: (数字)9781665498616

ISBN: (纸本)9781665498616

By leveraging IoT Big Data, BPM can gain real-time physical world information to make faster and more accurate decisions, but there is a technical gap between IoT sensors and businesses. To bridge the gap, an event penetration mechanism from IoT sensors to business processes is proposed along a practical case study. This paper presents a concrete IoT-BPM application case dealing with seaborne safety ensurance in transporting liquefied natural gas (LNG), analyzes its technical challenges, and examines the feasibility and supposed effects of the BRIBOT approach. © 2022 IEEE.

关键词： Internet of things

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A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization

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IEEE/CAA Journal of Automatica Sinica 2022年第5期9卷 812-833页

作者： Xinlei Yi Shengjun Zhang Tao Yang Tianyou Chai Karl Henrik Johansson Division of Decision and Control Systems School of Electrical Engineering and Computer ScienceKTH Royal Institute of Technologyand also affiliated with the Digital FuturesStockholm 10044Sweden Department of Electrical Engineering University of North TexasDentonTX 76203 USA IEEE State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819China

The distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of n local cost functions by using local information exchange is *** problem is an important component of many machine learning techniques with data parallelism,such as deep learning and federated *** propose a distributed primal-dual stochastic gradient descent(SGD)algorithm,suitable for arbitrarily connected communication networks and any smooth(possibly nonconvex)cost *** show that the proposed algorithm achieves the linear speedup convergence rate O(1/(√nT))for general nonconvex cost functions and the linear speedup convergence rate O(1/(nT)) when the global cost function satisfies the Polyak-Lojasiewicz(P-L)condition,where T is the total number of *** also show that the output of the proposed algorithm with constant parameters linearly converges to a neighborhood of a global *** demonstrate through numerical experiments the efficiency of our algorithm in comparison with the baseline centralized SGD and recently proposed distributed SGD algorithms.

关键词： Distributed nonconvex optimization linear speedup Polyak-Lojasiewicz(P-L)condition primal-dual algorithm stochastic gradient descent

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Stability of Nonlinear systems via Hybrid Delayed Impulses

Stability of Nonlinear Systems via Hybrid Delayed Impulses

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第43届中国控制会议

作者： Huannan Zheng Wei Zhu Ya Deng School of Computer Science and Technology Chongqing University of Posts and Telecommunications Key Laboratory of Intelligent Analysis and Decision on Complex Systems Chongqing University of Posts and Telecommunications

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper studies the stability problem of nonlinear systems via hybrid delayed impulses,in which stabilizing impulses and destabilizing impulses can occur simultaneously. In order to analyze the hybrid delayed impulses,the average impulsive weight(AIW) is used. Together with average impulsive interval(AII) and average impulsive delay(AID),some Lyapunov-based conditions for globally asymptotically stable(GAS) are established. Results show that delays in impulses have positive effects to the desired performance. The effectiveness of the theoretical results is demonstrated through two numerical examples.

关键词： Stability Nonlinear systems Hybrid Delayed Impulses

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TILTING MANHOLE COVER: A NONLINEAR SPRING-MASS SYSTEM

TILTING MANHOLE COVER: A NONLINEAR SPRING-MASS SYSTEM

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ASME 2024 Pressure Vessels and Piping Conference, PVP 2024

作者： van de Meulenhof, Niels F. Tijsseling, Arris S. Vasconcelos, Jose G. Hou, Qingzhi Zafer, Bozkuş Department of Mathematics and Computer Science Eindhoven University of Technology P.O. Box 513 Eindhoven5600 MB Netherlands Department of Civil Engineering Auburn University AuburnAL36849 United States State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation Tianjin University Tianjin300350 China Hydraulics Laboratory Department of Civil Engineering Middle East Technical University Ankara06800 Turkey

ISBN: (纸本)9780791888490

Manhole covers are potential "dancers". They may leave their resting state and start "dancing". They may hover, move up and down, tilt, rotate, bounce, make noise, flip over, or even fly up into the air. In general, their motion looks chaotic, probably due to the nonlinear dynamics governing the system. The authors have previously derived basic models of dancing manhole covers covering the translational vertical motion of free covers and the rotational motion of hinged covers. In the current contribution the basic model is extended with tilting (without hinge) and bouncing behavior. Some fundamental problems and assumptions are discussed. Preliminary numerical results are shown together with 3D visualizations. Scientific curiosity into a mysterious phenomenon has been the motivation for this study. The obtained equations governing the manhole cover’s motion may serve as boundary conditions in hydraulic-pneumatic models of sewer-manhole systems (think of geysering and ventilation). Copyright © 2024 by ASME.

关键词： Fluid structure interaction

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Human–Robot Coordination Control for Sit-to-Stand Assistance in Hemiparetic Patients With Supernumerary Robotic Leg

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IEEE Transactions on Automation science and Engineering 2025年 22卷 16591-16602页

作者： Jie Zuo Jun Huo Xiling Xiao Yanzhao Zhang Jian Huang Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Hubei Key Laboratory of Brain-Inspired Intelligent Systems and the School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China School of Information Engineering Wuhan University of Technology Wuhan China Department of Rehabilitation Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China

In light of global aging and prevalent stroke-related hemiplegia, this study addresses challenges in robot-assisted Sit-to-Stand (STS) movements, a daily activity prone to falls. Supernumerary Robotic Legs (SRL) serve as independent support, enhancing stability and limb movement range. Existing coordination control methods lack personalization for STS assistance, requiring solutions for human intent transmission and rapidly optimize coordination control challenges in the non-coupled human-robot system. The proposed human-SRL coordination control algorithm, grounded in personalized SRL-human coupling models, incorporates surface electromyography (sEMG) signals to design an intent-driven variable stiffness impedance control. The inclusion of incremental learning enables rapid optimization of impedance parameters, facilitating real-time adjustments in SRL assistance for adaptive coupling with users. Practical experiments involving both healthy participants and hemiparetic patients validate the algorithm’s effectiveness during STS. The results validate substantial reductions in STS time (39.54%) and muscle activity (28.01%), highlighting the efficacy of the proposed algorithm-controlled SRL support for hemiparetic individuals. Note to Practitioners—To prevent misalignment between the SRL and natural limb movements, which can impose additional strain on the body, this study combines the principles of joint bio-mimicry to develop a personalized human-robot coupling model, and also propose an sEMG-based adaptive impedance control algorithm. Our research fills a gap in the nuanced analysis of robot-assisted support effects on both the affected and unaffected sides of hemiparetic patients, while also possessing the potential for transfer or extension to other types of rehabilitation robotic platforms. Although the SRL shows promising results, it is important to note the limitations of a small sample size and the need for further exploration of the needs of diverse patient po

关键词： Robots Robot kinematics Limbs Impedance Legged locomotion Adaptation models Couplings Muscles Biological system modeling Automation

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Self-adjustable hyper-graphs for video pose estimation based on spatial-temporal subspace construction

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science China(Information sciences) 2022年第3期65卷 260-262页

作者： Jizhou MA Shuai LI Hong QIN Aimin HAO Qinping ZHAO State Key Laboratory of Virtual Reality Technology and Systems Beihang University Department of Computer Science Stony Brook University

Dear editor,In recent years many supervised video pose estimation methods have achieved growing successes based on well-labeled training datasets. Nonetheless, when facing roughly-labeled training data, it still remains challenging to intrinsically encode the video contents' spatial-temporal coherency for robust video pose *** researches aimed to directly improve and refine the existing confidence maps by combining the spatial-temporal structure models [1, 2]. Li et al.

关键词： Video Pose Estimation Self-adjustable Hyper-graph Spatial-temporal Subspace Exploration Maximum Matching Subspace Operator Action Pattern

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Privacy-Preserving Incentive Mechanism for Platoon Assisted Vehicular Edge Computing with Deep Reinforcement Learning

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China Communications 2022年第7期19卷 294-309页

作者： Xumin Huang Yupei Zhong Yuan Wu Peichun Li Rong Yu School of Automation Guangdong University of TechnologyGuangzhou 510006China The State Key Laboratory of Internet of Things for Smart City University of MacaoTaipaMacaoChina Department of Computer and Information Science University of MacaoTaipaMacaoChina

Platoon assisted vehicular edge computing has been envisioned as a promising paradigm of implementing offloading services through platoon *** a platoon,a vehicle could play as a requester that employs another vehicles as performers for workload *** incentive mechanism is necessitated to stimulate the performers and enable decentralized decision making,which avoids the information collection from the performers and preserves their *** model the interactions among the requester(leader)and multiple performers(followers)as a Stackelberg *** requester incentivizes the performers to accept the *** derive the Stackelberg equilibrium under complete ***,deep reinforcement learning is proposed to tackle the incentive problem while keeping the performers’information *** game player becomes an agent that learns the optimal strategy by referring to the historical strategies of the ***,numerical results are provided to demonstrate the effectiveness and efficiency of our scheme.

关键词： vehicular edge computing Stackelberg game deep reinforcement learning

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Metric localization for lunar rovers via cross-view image matching

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Visual Intelligence 2024年第1期2卷 132-145页

作者： Zihao Chen Kunhong Li Haoran Li Zhiheng Fu Hanmo Zhang Yulan Guo School of Electronics and Comunication Engineering the Shenzhen Campus of Sun Yat-sen UniversitySun Yat-sen UniversityShenzhen510275China Peng Cheng Laboratory ShenzhenGuangdong518055China Department of Computer Science and Software Engineering The University of Western AustraliaPerth6009Australia Department of Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai Aerospace Control Technology InstituteShanghai201109China College of Electronic Science and Technology National University of Defense TechnologyChangshaHunan410073China.

Accurate localization is critical for lunar rovers exploring lunar terrain ***,lunar rover localization relies on sensor data from odometers,inertial measurement units and stereo ***,localization errors accumulate over long traverses,limiting the rover’s localization *** paper presents a metric localization framework based on cross-view images(ground view from a rover and air view from an orbiter)to eliminate accumulated localization ***,we employ perspective projection to reduce the geometric differences in cross-view ***,we propose an image-based metric localization network to extract image features and generate a location *** heatmap serves as the basis for accurate estimation of query *** also create the first large-area lunar cross-view image(Lunar-CV)dataset to evaluate the localization *** dataset consists of 30 digital orthophoto maps(DOMs)with a resolution of 7 m/pix,collected by the Chang’e-2 lunar orbiter,along with 8100 simulated rover *** results on the Lunar-CV dataset demonstrate the superior performance of our proposed *** to the second best method,our method significantly reduces the average localization error by 26% and the median localization error by 22%.

关键词： Cross-view metric localization(CVML) Lunar rover Aerial patch Panorama Perspective projection

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