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2023 Cross Strait Radio science and Wireless Technology Conference, CSRSWTC 2023

作者： Chen, Bingheng Wei, Ziliang Huang, Lixuan Pun, Sio Hang Vai, Mang I. Gao, Yueming College of Physics and Information Engineering Fuzhou University China Fuzhou University The International Joint Laboratory on Health Intelligent Monitoring Systems China University of Macau State Key Laboratory of Analog and Mixed-Signal VLSI China University of Macau Faculty of Science and Technology China

ISBN: (纸本)9798350358971

Magnetic Resonance Coupled Human Body Communication (MR-HBC) is a promising human communication method with high efficiency and stability. Designing devices that utilize MR-HBC for communication requires accurate channel transmission characteristics for effective communication. However, MR-HBC has difficulty obtaining reliable channel gains. Due to the existence of an additional return path caused by parasitic capacitance during channel gain measurements, there are significant differences in the results of different measurement methods, and the measured channel gain does not necessarily correspond to the actual channel gain. In this regard, this paper proposes a method that can accurately measure the actual channel gain of MR-HBC. By modeling the electrical connection during the measurement of the measuring instrument, this paper shows that the additional return path between the transmitter and receiver in the experimental measurement is the reason for the discrepancy between the channel gain measurement results and the actual ones. Proposed that a balun device should be added to suppress the additional return path during the MR-HBC channel gain measurement in order to measure the realistic channel gain, and this is verified by experiments. The results show that before adding the balun, the MR-HBC channel gain measurements of different measurement methods show significant differences (maximum difference of 20.4 dB). When the additional return path is suppressed by adding the balun device, the measurement results of different measurement methods are consistent and close to the realistic measurement results measured using a small device (maximum difference of 2.5 dB). This study addresses the accuracy of measurement results during MR-HBC channel gain measurements. © 2023 IEEE.

关键词： additional return path channel gain MR-HBC

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An Analog Front-End with Automatic Gain Control for Galvanic-Coupled Human Body Communication

An Analog Front-End with Automatic Gain Control for Galvanic...

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2023 Cross Strait Radio science and Wireless Technology Conference, CSRSWTC 2023

作者： Zhao, Wenxiang Li, Dongming Wang, Jiamei Pun, Sio Hang Vai, Mang I. Gao, Yueming College of Physics and Information Engineering Fuzhou University China Fuzhou University The International Joint Laboratory on Health Intelligent Monitoring Systems China University of Macau State Key Laboratory of Analog and Mixed-Signal VLSI China Faculty of Science and Technology University of Macau China

ISBN: (纸本)9798350358971

The channel loss of galvanic-coupled human body communication (GC-HBC) is greatly affected by human body activities or individual differences, which will cause large changes in the amplitude of the input signal received by the receiver. This requires the analog front-end to have the ability to adaptively adjust the circuit gain to ensure stable output of the amplified signal. In this regard, this paper proposes an analog front-end with automatic gain control for GC-HBC. This circuit uses a differential preamplifier circuit with high input impedance and a rear-stage automatic gain control circuit that uses voltage feedback to control gain. While achieving amplification of weak signals, it also meets the requirements for stable signal output. The measurement results show that it has an input impedance of > 100 M Ω, a maximum gain of 74dB, and a sensitivity of - 76dBm, effectively meeting the needs for capturing and amplifying weak signals. The loop stabilization time is 156μs, and the input dynamic range is 34dB, which can ensure stable output of the amplified signal amplitude when the input signal amplitude changes. © 2023 IEEE.

关键词： analog front-end automatic gain control GC-HBC stable output

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Diffusion Process with Structural Change for Subspace Clustering

SSRN

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SSRN 2024年

作者： Li, Qilin Zhu, Yanjiao Liu, Wanquan Yin, Chuancun School of Statistics and Data Science Qufu Normal University China School of Electrical Engineering Computing and Mathematical Sciences Curtin University Australia School of Intelligent Systems Engineering Sun Yat-Sen University China

Spectral clustering-based methods have gained significant popularity in subspace clustering due to their ability to capture the underlying data structure effectively. Standard spectral clustering focuses on only pairwise relationships between data points, neglecting interactions among high-order neighboring points. Integrating the diffusion process can address this limitation by leveraging a Markov random walk. However, ensuring noise stability in diffusion methods remains a challenging task. In this paper, we propose the Diffusion Process with Structural Change (DPSC) method, a novel affinity learning framework that enhances the robustness of the diffusion process. Our approach broadens the scope of nearest neighbors and leverages the dropout idea to generate two random distinct transition matrices. Furthermore, inspired by the structural change model, we use different transition matrices to optimize the iteration rule during the iteration process. The resulting affinity matrix undergoes self-supervised learning and is subsequently integrated back into the diffusion process for refinement. Notably, the convergence of the proposed DPSC is theoretically proven. Extensive experiments on benchmark datasets demonstrate that the proposed method outperforms existing subspace clustering methods. © 2024, The Authors. All rights reserved.

关键词： Iterative methods

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Strategic potential of multi-energy system towards carbon neutrality:A forward-looking overview

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Energy and Built Environment 2023年第6期4卷 689-708页

作者： Tobi Michael Alabi Favour D.Agbajor Zaiyue Yang Lin Lu Adedayo Johnson Ogungbile Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhenChina Department of Building Environment and Energy Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina Data Analytics and Intelligent Systems(DAIS)Laboratory Department of Chemical and Biological EngineeringUniversity of British ColumbiaVancouver BCCanada Department of Construction Management and Quantity Surveying Durban University of TechnologySteve Biko CampusDurbanSouth Africa Department of Building and Real Estate The Hong Kong Polytechnic UniversityHong Kong SARChina

Carbon neutrality is an ambitious goal that has been promulgated to be achieved on or before ***,most of the current energy policies focus more on carbon emission reduction,efficiency and high penetration of renewable ***,this paper presented a review strategy towards carbon neutrality by presenting the concept of a multi-energy system(MES)in terms of its technologies,configuration,modelling and feasibility as zero-emission *** paper addressed some prominent challenges associated with zero-carbon multi-energy systems(ZCMES).Various proven solutions in the extant studies that have been affirmed to alleviate some of these challenges were *** the end,we identified and summarised the current research gaps,and the future directions to ensure the feasibility of ZCMES as a primary strategy towards the actualization of carbon ***,this review work serves as a reference for revising the current energy policies to incorporate a carbon neutrality framework.

关键词： Multi-energy system Integrated energy system Zero-carbon Zero-emission Energy policy

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MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow Estimation

arXiv

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arXiv 2025年

作者： Luo, Jiehao Cheng, Jintao Tang, Xiaoyu Zhang, Qingwen Xue, Bohuan Fan, Rui School of Data Science and Engineering Xingzhi College South China Normal University Shanwei516600 China School of Electronics and Information Engineering Xingzhi College South China Normal University Foshan528225 China KTH Royal Institute of Technology StockholmSE-114 28 Sweden College of Electronics & Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems State Key Laboratory of Intelligent Autonomous Systems Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai201804 China

Scene flow estimation aims to predict 3D motion from consecutive point cloud frames, which is of great interest in autonomous driving field. Existing methods face challenges such as insufficient spatio-temporal modeling and inherent loss of fine-grained feature during voxelization. However, the success of Mamba, a representative state space model (SSM) that enables global modeling with linear complexity, provides a promising solution. In this paper, we propose MambaFlow, a novel scene flow estimation network with a mamba-based decoder. It enables deep interaction and coupling of spatio-temporal features using a well-designed backbone. Innovatively, we steer the global attention modeling of voxel-based features with point offset information using an efficient Mamba-based decoder, learning voxel-to-point patterns that are used to devoxelize shared voxel representations into point-wise features. To further enhance the model’s generalization capabilities across diverse scenarios, we propose a novel scene-adaptive loss function that automatically adapts to different motion patterns. Extensive experiments on the Argoverse 2 benchmark demonstrate that MambaFlow achieves state-of-the-art performance with real-time inference speed among existing works, enabling accurate flow estimation in real-world urban scenarios. The code is available at https://***/SCNU-RISLAB/MambaFlow. Copyright © 2025, The Authors. All rights reserved.

关键词： Motion estimation

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An experimental study of the photoplethysmography waveform analysis on different vessel wall thickness 20

An experimental study of the photoplethysmography waveform a...

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Dynamics and Fluctuations in Biomedical Photonics XX 2023

作者： Ferdinando, H. Zienkiewicz, A. Abdelsamie, A. Vihriälä, E. Huotari, M. Myllylä, T. Research Unit of Health Science and Technology Faculty of Medicine University of Oulu Finland Department of Electrical Engineering Petra Christian University Indonesia Optoeletronics and Measurement Technique Research Unit University of Oulu Finland Biomimetics and Intelligent Systems Group University of Oulu Oulu Finland

ISBN: (纸本)9781510658615

Photoplethysmography (PPG) waveform is primary formed by absorbance and scattering of light caused by blood volume changes in the microvascular bed of tissue. The volume of blood is constantly changing due to cardiac activity and various low frequency physiological components, such as, respiration and sympathetic nervous system. Importantly, elastic property of blood vessels and blood pressure also greatly affects the volume of blood and thus PPG waveform inversely contains information on vessel elasticity and pressure that has been studied using e.g., pulse decomposition analysis (PDA) models. We emulated PPG waveform by using a simplified mock circulatory loop mimicking human circulatory system to study how changing elasticity of 3D printed vessels and blood pressure affects the PPG waveform, aiming to validate presented pulse decomposition analysis model for estimating vessel stiffness and blood pressure. The circulatory system built for the study is controlled via custom-made LabView software. Pumping frequency, pressure and flow of blood mimicking liquid can be controlled and accurately measured for a reference. The main analysis relied on the PDA that extracted five log-normal pulses for further analysis. In particular, we focused on the centre parameter of each log-normal pulse and observed it changes depending on the emulated parameters. © 2023 SPIE.

关键词： Blood pressure

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A Preliminary Study of Frequency Shift Mechanism in Magnetic Resonance Coupled Human Body Communication

A Preliminary Study of Frequency Shift Mechanism in Magnetic...

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2023 Cross Strait Radio science and Wireless Technology Conference, CSRSWTC 2023

作者： Chen, Lina Wang, Jiamei Wei, Ziliang Pun, Sio Hang Vai, Mang I. Gao, Yueming College of Physics and Information Engineering Fuzhou University China Fuzhou University The International Joint Laboratory on Health Intelligent Monitoring Systems China University of Macau State Key Laboratory of Analog and Mixed-Signal VLSI China University of Macau Faculty of Science and Technology China

ISBN: (纸本)9798350358971

The Magnetic Resonance-Coupled Human Body Communication (MR-HBC) method presents advantages such as high path gain and enhanced information security, rendering it particularly suitable for establishing wireless body area networks. The optimal operation of MR-HBC relies on functioning at resonance frequency. However, owing to the intricate dielectric properties of human tissues and individual differences, the resonance frequency of communication systems frequently experiences varying degrees of deviation. To delve into the intrinsic mechanism behind frequency shifts, this paper establishes a finite element model based on the genuine dielectric properties and geometric structure of the human body. It investigates the augmentation effects of human tissue on MR-HBC, examines the influence of distinct tissue electrical properties on the electromagnetic field distribution of MR-HBC, and analyzes the inherent connection between frequency shifts and human tissue electrical characteristics. The results reveal that the electrical properties of human tissues stand as the primary factor affecting frequency shifts, with the extent of frequency deviation contingent upon the proportional composition of different tissues. © 2023 IEEE.

关键词： Electromagnetic simulation MR-HBC Resonance Frequency Shift

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Mobile Bot Rotation Using Sound Source Localization And Distant Speech Recognition

Mobile Bot Rotation Using Sound Source Localization And Dist...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Swapnil Sontakke Pradyoth Hegde Prashant Bannulmath Deepak K T Department of Data Science and Intelligent Systems Indian Institute of Information Technology Dharwad Karnataka India Department of Electronics & Communication Engineering Indian Institute of Information Technology Dharwad Karnataka India

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In the last few years, mobile robots such as floor cleaners, assistive robots, and home telepresence have become an essential part of our day-to-day activities. In human-robot interaction, speech is the preferred way of communication, especially in indoor environments. This paper proposes a speech module to rotate the mobile robot. It has two components, namely, a distant automatic speech recognizer and a sound source localizer. To build distant speech recognizer, far-field speech data is collected at 1, 3, and 5-meters distances. The model performs well even at a 5-meters distance with a Word Error Rate of 40.38% and a Character Error Rate of 28.85%. The direction of arrival of the speech signal is computed from the 4-mic circular array microphone. The speech module is integrated with the Robot Operating System and physically demonstrated on Turtlebot3 Waffle Pi. It is observed that the speech recognizer and sound source localizer work well in the reverberant indoor environment with a small single-board computer.

关键词： Location awareness Telepresence Error analysis Operating systems Human-robot interaction Speech recognition Microphone arrays

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Comments on "An Efficient and Provably Secure Authenticated Key Agreement Protocol for Fog-Based Vehicular Ad-Hoc Networks" 6

Comments on "An Efficient and Provably Secure Authenticated ...

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6th IEEE International Conference on Electronics and Communication engineering, ICECE 2023

作者： Awais, Syed Muhammad Yucheng, Wu Mahmood, Khalid Kharel, Rupak Chongqing University School of Microelectronics and Communication Engineering Chongqing China University of Central Lancashire National Yunlin University of Science and Technology Preston United Kingdom School of Psychology and Computer Science Graduate School of Intelligent Data Science Yunlin64002 Taiwan University of Central Lancashire Ton Duc Thang University Preston United Kingdom School of Psychology and Computer Science Faculty of Electrical and Electronics Engineering Ho Chi Minh City Viet Nam

ISBN: (纸本)9798350328721

Vehicle ad-hoc networks (VANETs) have experienced rapid growth due to the advancement of cloud computing, IoT technologies, and intelligent transportation systems (ITS). Vehicles are required to have enhanced storage capacity, onboard computing capabilities, improved sensing power, and communication systems. To address real-world demands like low latency, affordable storage, and mobility in VANET deployments, There have been efforts to integrate fog computing with VANETs in a practical implementation. "An Efficient and Provably Secure Authenticated Key Agreement Protocol for Fog-Based Vehicular Ad-Hoc Networks"was proposed by Ma et al. (IEEE Internet of Things Journal, pp 8065-8075, 10.1109/JIOT.2019.2902840). According to their claims, the use of their secure authentication technique can help prevent security threats. However, after careful investigation, we discovered that their authentication protocol is susceptible to vehicle user impersonation attacks and also does not provide vehicle anonymity. In light of this, we have provided some recommendations to address the current flaws in the protocol developed by Ma et al. © 2023 IEEE.

关键词： Vehicular ad hoc networks

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Numerical Simulations of Filtered Reciprocal-Kind Zhang Neural Network for Solving Time-Varying QP Problems

Numerical Simulations of Filtered Reciprocal-Kind Zhang Neur...

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intelligent Robotics and Automatic Control (IRAC), International Conference on

作者： Pengfei Guo Zhiguo Tan Yunong Zhang School of Mathematics and Data Science Zhongkai University of Agriculture and Engineering Guangzhou China School of Information Engineering Guangzhou Panyu Polytechnic Guangzhou China School of Intelligent Systems Engineering Sun Yat-sen University Shenzhen China

ISBN: (数字)9798350389807

ISBN: (纸本)9798350389814

In our previous work [1], we introduced the filtered reciprocal-kind Zhang neural network (FRKZNN) model for handling time-varying quadratic programming (QP) problems. In this paper, we conduct two sets of numerical simulations to evaluate the model’s generalization, analyze the influence of its parameters, and perform an ablation study. The results from these simulations demonstrate the effectiveness and superiority of the proposed FRKZNN model.

关键词： Neurodynamics Analytical models Sensitivity Neural networks Numerical simulation Numerical models Quadratic programming Robots Convergence

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