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作者： Jalali, Mandana Prokscha, Andreas Kaiser, Thomas Yan, Yijun Taro Svejda, Jan Erni, Daniel Kubiczek, Tobias Balzer, Jan Preu, Sascha Faculty of Engineering University of Duisburg-Essen Essen Duisburg Germany CENIDE-Center for Nanointegration Duisburg-Essen DuisburgD-47048 Germany Institute of Digital Signal Processing Faculty of Engineering University of Duisburg-Essen DuisburgD-47048 Germany Chair of Communication Systems Faculty of Engineering University of Duisburg-Essen DuisburgD-47048 Germany Terahertz Devices and Systems Institute of Microwave Engineering and Photonics Department of Electrical Engineering and Information Technology Technical University of Darmstadt DarmstadtD-64283 Germany

The possibility of establishing a novel technique for reliably accessing glycemic information in a non-invasive, easy to implement method at THz frequencies via the fingernail bed is investigated. The nail bed's major content is blood at its various glucose levels and is also partially protected from environmental conditions by the nail plate, making it a desirable platform for non-invasive glucose sensing. The study is based on a 2D computational electromagnetics (EM) model of the layered fingernail in COMSOL Multiphysics, where the required dielectric function (i.e. permittivity and conductivity) of the fingernail plate is measured using THz-Time-Domain-Spectroscopy (THz-TDS), and the glucose-dependend dielectric functions of the fingernail bed are taken from available experimental data in the literature. From this data a material model using a multipole Cole-Cole model is established for both, the nail plate and the nail bed, where the glucose content in the latter is varied from 3.0-19.0 mmol/l. A numerical analysis of the THz reflectometry at the fingernail in the frequency range of 0.1-2.0 THz revealed that the reflectance spectra are sensitive to the glucose content in the nail bed proving that accurate glucose sensing via the fingernail bed may become feasible around 0.2-0.4 THz. © 2023 the author(s), published by Walter de Gruyter Berlin/Boston.

关键词： Glucose

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A Concept for Myocardial Current Density Estimation with Magnetoelectric Sensors

A Concept for Myocardial Current Density Estimation with Mag...

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作者： Schmidt, Gerhard Engelhardt, Erik Elzenheimer, Eric Hoffman, Johannes Schmidt, Tobias Zaman, Adrian Frey, Norbert Digital Signal Processing and System Theory Institute of Electrical Engineering and Information Technology Faculty of Engineering Kiel University Kaiserstr. 2 Kiel24143 Germany Medical Department III Specialised in Cardiology and Angiology University Medical Center Schleswig-Holstein Arnold-Heller-Str. 3 / House K3 Kiel24105 Germany Internal Medicine III: Heart Vascular and Lung University Medical Center Heidelberg Im Neuenheimer Feld 410 Heidelberg69120 Germany

In this paper we present a novel noninvasive approach to estimate current densities in the heart from magnetocardiography. The proposed algorithm uses nested optimization to model current densities in equally-sized voxels of myocardial tissue. First-order Thiran all-pass filters are used to describe the propagation between *** demonstrate feasibility of the algorithm for a noise-free single-layer simulation. However, challenges remain, such as addressing measurement noise and optimizing propagation velocity. Overall, this approach has the potential to complement or replace invasive catheter-based electrophysiological studies for localization of arrhythmogenic tissue. © 2023 the author(s), published by Walter de Gruyter Berlin/Boston.

关键词： Magnetocardiography

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An Improved Epsilon Method with M2M for Solving Imbalanced CMOPs with Simultaneous Convergence-Hard and Diversity-Hard Constraints 11th

An Improved Epsilon Method with M2M for Solving Imbalanced C...

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11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021

作者： Fan, Zhun Yang, Zhi Tang, Yajuan Li, Wenji Xu, Biao Wang, Zhaojun Sun, Fuzan Long, Zhoubin Zhu, Guijie Department of Electronic and Information Engineering Shantou University Shantou Guangdong515063 China Key Lab of Digital Signal and Image Processing of Guangdong Province Shantou University Shantou Guangdong515063 China Ministry of Education Shantou Guangdong515063 China State Key Lab of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan430000 China

ISBN: (纸本)9783030720612

When tackling imbalanced constrained multi-objective optimization problems (CMOPs) with simultaneous convergence-hard and diversity-hard constraints, a critical issue is to balance the diversity and convergence of populations. To address this issue, this paper proposes a hybrid algorithm which combines an improved epsilon constraint-handling method (IEpsilon) with a multi-objective to multi-objective (M2M) decomposition approach, namely M2M-IEpsilon. The M2M decomposition mechanism in M2M-IEpislon has the capability to deal with imbalanced objectives. The IEpsilon constraint-handling method can prevent populations falling into large infeasible regions, thus improves the convergence performance of the proposed algorithm. To verify the performance of the proposed M2M-IEpsilon, a series of imbalanced CMOPs with simultaneous convergence-hard and diversity-hard constraints, namely ICD-CMOPs, is designed by using the DAS-CMOPs framework. Six state-of-the-art constrained multi-objective evolutionary algorithms (CMOEAs), including CM2M, CM2M2, NSGA-II-CDP, MOEA/D-CDP, MOEA/D-IEpsilon and PPS-MOEA/D, are employed to compare with M2M-IEpsilon on the ICD-CMOPs. Through the analysis of experimental results, the proposed M2M-IEpsilon is superior to the other six algorithms in solving ICD-CMOPs, which illustrates the superiority of the proposed M2M-IEpsilon in dealing with ICD-CMOPs with simultaneous convergence-hard and diversity-hard constraints. © 2021, Springer Nature Switzerland AG.

关键词： Constraint handling

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Extended State Observer Based Fault-Tolerant Predictive Control for a Four-Mecanum Wheels Mobile Robot

Extended State Observer Based Fault-Tolerant Predictive Cont...

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IEEE International Conference on Cyber technology in Automation, Control, and Intelligent Systems

作者： Binghao Yang Dongliang Wang Ziling Wen Wu Wei Wenji Li Zhun Fan Key Lab of Digital Signal and Image Processing of Guangdong Province Shantou University Guangdong China School of Department of Electronic and Information Engineering Shantou University Guangdong China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangzhou Guangdong China School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong China

ISBN: (数字)9798331506056

ISBN: (纸本)9798331506063

The application of unmanned vehicles in industrial cargo transportation is becoming increasingly widespread, particularly playing a significant role in transporting heavy-duty goods. However, when performing such tasks, whether in single-vehicle transportation or multi-vehicle collaborative transportation, the occurrence of wheel failures can potentially lead to serious safety accidents. Therefore, this paper proposes a fault-tolerant control scheme, establishing a kinematic model considering disturbances and failures, and adopts model predictive control for trajectory tracking. Additionally, an extended state observer is introduced to observe system states and counteract disturbances. To address potential failure issues, a controller reconstruction strategy is proposed. Finally, the effectiveness and superiority of the controller is validated through numerical simulation and comparative experiment.

关键词： Fault tolerance Trajectory tracking Fault tolerant systems Wheels Transportation Kinematics Predictive models Safety State estimation Predictive control

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Gait Parameter Estimation of Elderly People using 3D Human Pose Estimation in Early Detection of Dementia

Gait Parameter Estimation of Elderly People using 3D Human P...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Jyothsna Kondragunta Gangolf Hirtz Chair of Digital Signal Processing and Circuit Technology (DST) Universität Chemnitz Chemnitz Germany

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Early detection of dementia is becoming increasingly important as it plays a crucial role in handling the patients and offering better treatment. Many of the recent studies concluded a tight relationship between dementia and gait disorders. For this purpose, identification of gait abnormalities is key factor. Novel technologies provide many options such as wearable and non-wearable approaches for analysis of gait. As the occurrence of dementia is more prominent in elderly people, wearable technology is considered out of scope for this work. The gait data of several elderly people over 80 years is acquired over certain intervals during the scope of the project. The elderly people are classified into three study groups namely cognitively healthy individuals (CHI), subjectively cognitively impaired persons (SCI) and possible mildly cognitively impaired persons due to inconclusive test results (pMCI) based on their cognitive status. The gait data is acquired using Kinect sensor. The acquired data consists of both RGB image sequences and depth data of the test persons. 3D human pose estimation is performed on this gait data and gait analysis is done. The transformations in the gait cycles are observed and the health condition of the individual is analyzed. From the analysis, the patterns in the gait abnormalities are correlated with the above-mentioned classification and are used in the detection of dementia in advance. The obtained results look promising and further analysis of gait parameters is under progress.

关键词： Dementia Three-dimensional displays Pose estimation Foot Two dimensional displays Legged locomotion Senior citizens

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Towards Localization and Tracking of Wind-Dispersal Small-Scale Coded Fliers Based on Passive RFID Infrastructure

TechRxiv

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TechRxiv 2023年

作者： Abbas, Ali Alhaj Abdelhalim, Awad Zarifeh, Nidal Khaliel, Maher Abuelhaija, Ashraf Wiedau, Livia Zhao, Yixiong Salah, Baha Prokscha, Andreas Balzer, Jan Mohri, Khadijeh Kaiser, Thomas Institute of Digital Signal Processing University of Duisburg-Essen Duisburg Germany Electrical Engineering Department Applied Science Private University Amman11931 Jordan Manufacturing Technology Duisburg-Essen DuisburgD–47057 Germany Duisburg47057 Germany University of Duisburg-Essen Duisburg47048 Germany

The concept of sensing environmental parameters in the air has been raised recently by utilizing drone-based, insect-based, or wind-dispersal-based mechanisms using different system infrastructures. Interestingly, wind-dispersal mechanisms use no driving mechanical system and can be dispersed only by the wind power to scan and sense selected areas of interest. Additionally, Ultra High Frequency (UHF) passive Radio Frequency IDentification (RFID) technology is considered with a low-cost infrastructure and high coding capacity of 96 bits in which RFID tags operate without the need for a battery. In this paper, we propose a system of wind-dispersal fliers which are coded and localized based on passive UHF RFID technology toward sensing environmental parameters (e.g. temperature) at a specific position in space. For the flier’s mechanical design, a 2D structure is first designed, inspired by winged seeds, that consists of four wings with asymmetrical cross-sections between them in order to provide better mechanical stability during descent and more integration solutions with UHF RFID tags. The 2D structure is then transformed into 3D configurations by tilting the blades at different angles and utilizing different curvatures. By introducing porosity in the 3D design and optimizing the blades’ angles and curvature, a low terminal velocity of 1.64 m/s is achieved based on measurements. The fliers are fabricated using Laser Sintering from Polyamide 12 (PA12) which has a low weight and good mechanical properties with a low thickness of 200µm. For system demonstration toward reliable identification, localization, and tracking of fliers during falling, distributed reader antennas are used to interrogate a coded flier equipped with a passive RFID tag that uses a UHF Gen2 chip. Received signal Strength Indicator (RSSI) based localization is used with an adaptive trilateration algorithm to tackle environmental impairments. The averaged measured location error achieved based on th

关键词： Mechanical stability

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Impact of Quantization Noise Errors in FPGA Based WLAN Timing Synchronization with the Schmidl and Cox Algorithm

Impact of Quantization Noise Errors in FPGA Based WLAN Timin...

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IEEE International Symposium on circuits and Systems

作者： Jorge Torres Gomez Liset Martinez Marrero Matthias Koepp Rajesh Kumar Sharma Tech. Univ. Berlin Berlin Germany Lucerne University of Applied Sciences and Arts Lucerne Switzerland Photonic Networks and Systems Department Fraunhofer Heinrich Hertz Institute Berlin Germany Department of Digital Signal Processing and Circuit Technology Chemnitz University of Technology Chemnitz Germany

ISBN: (纸本)9781728192017;9781728192024

The implementation of accurate solutions to synchronize the transceiver's clocks in real-time operations plays a major role in the current development of communication systems. Considering the orthogonal frequency division multiplexing (OFDM)-based systems, adopted for the deployment of fifth-generation mobile networks (5G), industrial networks, and the wireless local area network (WLAN) standard, several reported solutions focus on field-programmable gate array (FPGA) designs for the clock synchronization in real-time operations. However, reported solutions describe with minor details the impact of the introduced quantization noise error (QNE) based on the implemented bit-width. Their studies provide insights to implement digital solutions of reduced complexity. The current article provides theoretical expressions to characterize accuracy and precision while synchronizing the transmitter's clock. The presented analysis is intended to support designers to evaluate the clock synchronization design considering the bit-width for implementing the given system.

关键词： Wireless LAN Quantization (signal) Real-time systems Synchronization Field programmable gate arrays Standards Clocks

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Experimental analysis of high resolution indoor THz SAR imaging 24

Experimental analysis of high resolution indoor THz SAR imag...

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24th International ITG Workshop on Smart Antennas, WSA 2020

作者： Batra, Aman Zantah, Yamen Vu, Viet T. Wiemeler, Michael Pettersson, Mats I. Goehringer, Diana Kaiser, Thomas Institute of Digital Signal Processing University of Duisburg-Essen Germany Department of Mathematics and Natural Sciences Blekinge Institute of Technology Sweden Chair of Adaptive Dynamic Systems Technische Universitaet Dresden Germany

ISBN: (纸本)9783800752003

Synthetic Aperture Radar (SAR) technology is most commonly used in the frequency span of sub-30 GHz which provides the spatial resolution in the range of sub-cm. This technology is being extended to higher frequencies such as millimeter wave and THz region to achieve higher resolution in the range of sub-mm. This expands the SAR applications for material characterization, classification and sub-mm localization. However, the region is suitable for short propagation distance such as an indoor environment. Therefore, to investigate the achieved resolution and quality of the SAR images at THz, an indoor SAR testbed based on vector network analyzer has been setup for the measurements. This paper explains the indoor SAR geometry and describes the associated testbed along with the system parameters. The measurements are performed at a centre frequency of 275 GHz with a bandwidth of 110 GHz. The measurement results are analyzed for the theoretical resolution with the Backprojection Algorithm and the findings are presented in this paper. The sub-mm spatial resolution imaging of two small size metallic objects are performed. © WSA 2020.

关键词： Radar imaging

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One to multiple mapping dual learning: Learning multiple sources from one mixed signal

arXiv

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arXiv 2021年

作者： Liu, Ting Wang, Wenwu Zhang, Xiaofei Yan, Jingwen Guo, Yina The Department of Electronics and Communication Engineering Taiyuan University of Science and Technology Taiyuan030024 China The Centre for Vision Speech and Signal Processing University of Surrey Guildford SurreyGU2 7XH United Kingdom The Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Technology

Single channel blind source separation (SCBSS) refers to separate multiple sources from a mixed signal collected by a single sensor. The existing methods for SCBSS mainly focus on separating two sources and have weak generalization performance. To address these problems, an algorithm is proposed in this paper to separate multiple sources from a mixture by designing a parallel dual generative adversarial Network (PDualGAN) that can build the relationship between a mixture and the corresponding multiple sources to realize one-to-multiple cross-domain mapping. This algorithm can be applied to any mixed model such as linear instantaneous mixed model and convolutional mixed model. Besides, one-to-multiple datasets are created which including the mixtures and corresponding sources for this study. The experiment was carried out on four different datasets and tested with signals mixed in different proportions. Experimental results show that the proposed algorithm can achieve high performance in peak signal-to-noise ratio (PSNR) and correlation, which outperforms state-of-the-art algorithms. © 2021, CC BY.

关键词： Mapping

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Flow Visualization for Complex Fluid Flows via A Structure-enhanced Motion Estimator

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IEEE Transactions on circuits and Systems for Video technology 2025年

作者： Chen, Jun Wang, He Hao, Zhifeng Cai, Zemin Mei, Ling Foshan University School of Industrial Design and Ceramic Art Foshan528000 China Foshan University school of Mechatronic Engineering and Automation Foshan528231 China Shantou University College of Science Department of Mathematics Guangdong 515063 China Shantou University Department of Electronic Engineering Guangdong Shantou515063 China Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques Guangdong Shantou515063 China Wuhan University of Science and Technology School of Information Science and Engineering 430081 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation 430074 China Western Michigan University Department of Mechanical and Aerospace Engineering KalamazooMI49008 United States

Flow visualization through motion estimation using time-sequenced images plays a significant role in analyzing and understanding complex flow phenomena, and it is widely used in meteorology, oceanography, medicine, astronomy, experimental fluid mechanics, etc. However, it is difficult for current motion estimators to adapt to illumination changes, remove instable perturbation, and capture diverse motion patterns. In this paper, a novel flow visualization tool is developed to address these issues by employing a structure-enhanced motion estimator composed of a data term and a regularization term. Specifically, a statistical correlation descriptor is designed for the data term to improve the accuracy of motion estimation by enhancing both illumination robustness and matching discrimination. Inspired by the strong distinguishability of a structure-texture distribution in a local window, a structure-enhanced regularizer that considers the physical mechanism of fluid diffusion is introduced to capture different motion patterns, enhance prominent flow structures, and remove unnecessary ripples or textures caused by instable perturbation or noise. The experimental results demonstrate that our approach significantly outperforms current motion estimators in handling illumination changes and predicting complex fluid flows, and it also achieves state-of-the-art evaluation results on the public fluid flow datasets. Furthermore, the designed flow visualization tool successfully captures diverse motion patterns in Jupiter’s White Ovals, which is crucial for understanding the physical mechanisms behind their formation and sustenance. © 1991-2012 IEEE.

关键词： Motion estimation

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