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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 2024年第4/W10-2024期48卷 1-4页

作者： Pantazis, Dimos N. Karanikolas, Nikitas N. Vassilakopoulos, Michael Coors, Volker Voyiatzis, Ioannis Ellul, Claire Department of Surveying and Geoinformatics Engineering Research Laboratory S.O.C.R.A.T.E.S. University of West Attica Greece Department of Informatics and Computer Engineering University of West Attica Greece Department of Electrical and Computer Engineering University of Thessaly Greece Germany Department of Civil Environmental & Geomatic Engineering University College London United Kingdom

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Revolutionary self-powered transducing mechanism for long-lasting and stable glucose monitoring:achieving selective and sensitive bacterial endospore germination in microengineered paper-based platforms

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Microsystems & Nanoengineering 2024年第6期10卷 375-389页

作者： Yang Gao Anwar Elhadad Seokheun Choi Department of Electrical&Computer Engineering Bioelectronics&Microsystems LaboratoryState University of New York at BinghamtonBinghamtonNY 13902USA Center for Research in Advanced Sensing Technologies&Environmental Sustainability State University of New York at BinghamtonBinghamtonNY 13902USA

We introduce a groundbreaking proof-of-concept for a novel glucose monitoring transducing mechanism,marking the first demonstration of a spore-forming microbial whole-cell sensing *** approach uses selective and sensitive germination of Bacillus subtilis spores in response to glucose in potassium-rich bodily fluids such as *** the rate of germination and the number of metabolically active germinating cells are directly proportional to glucose concentration,the electrogenic activity of these cells—manifested as electricity—serves as a self-powered transducing signal for glucose *** a microengineered,paper-based microbial fuel cell(MFC),these electrical power outputs are measurable and can be visually displayed through a compact interface,providing real-time *** dormant spores extend shelf-life,and the self-replicating bacteria ensure *** MFC demonstrated a remarkable sensitivity of 2.246µW·(log mM)^(-1)·cm^(-2) to glucose concentrations ranging from 0.2 to 10 mM,with a notably lower limit of detection at~0.07 *** sensor exhibited exceptional selectivity,accurately detecting glucose even in the presence of various *** analyses revealed that,unlike conventional enzymatic biosensors whose performance degrades significantly through time even when inactive,the spore-based MFC is stable for extended periods and promptly regains functionality when *** preliminary investigation indicates that the spore-forming microbial whole-cell sensing strategy holds considerable promise for efficient diabetes management and can be extended toward noninvasive wearable monitoring,overcoming critical challenges of current technologies and paving the way for advanced biosensing applications.

关键词： prompt mechanism holds

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Preface to the Proceedings of the 8th Smart Data Smart Cities (SDSC) conference ISPRS Annals

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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2024年第4/W4-2024期10卷 1-4页

作者： Pantazis, Dimos N. Karanikolas, Nikitas N. Vassilakopoulos, Michael Coors, Volker Voyiatzis, Ioannis Ellul, Claire Department of Surveying and Geoinformatics Engineering Research laboratory S.O.C.R.A.T.E.S. University of West Attica Greece Department of Informatics and Computer Engineering University of West Attica Greece Department of Electrical and Computer Engineering University of Thessaly Greece Germany Department of Civil Environmental & Geomatic Engineering University College London United Kingdom

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Stochastic Unit Commitment with High-Penetration Offshore Wind Power Generation in Typhoon Scenarios

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Journal of Modern Power systems and Clean Energy 2024年第2期12卷 535-546页

作者： Yanqi Liu Dundun Liu Hongcai Zhang State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering University of MacaoMacao 999078China University of Macao Zhuhai UM Science and Technology Research Institute ZhuhaiChina

To tackle the energy crisis and climate change,wind farms are being heavily invested in across the *** China's coastal areas,there are abundant wind resources and numerous offshore wind farms are being *** secure operation of these wind farms may suffer from typhoons,and researchers have studied power system operation and resilience enhancement in typhoon ***,the intricate movement of a typhoon makes it challenging to evaluate its spatial-temporal *** published papers only consider predefined typhoon trajectories neglecting *** address this challenge,this study proposes a stochastic unit commitment model that incorporates high-penetration offshore wind power generation in typhoon *** adopts a data-driven method to describe the uncertainties of typhoon trajectories and considers the realistic anti-typhoon mode in offshore wind farms.A two-stage stochastic unit commitment model is designed to enhance power system resilience in typhoon *** formulate the model into a mixed-integer linear programming problem and then solve it based on the computationally-efficient progressive hedging algorithm(PHA).Finally,numerical experiments validate the effectiveness of the proposed method.

关键词： Unit commitment two-stage stochastic programming offshore wind farm typhoon

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Position Measurement Based Slave Torque Feedback Control for Teleoperation systems With Time-Varying Communication Delays

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 388-402页

作者： Xian Yang Jing Yan Changchun Hua Xinping Guan the Institute of Information Science and Engineering Yanshan University the Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004China IEEE the Institute of Electrical Engineering Yanshan UniversityQinhuangdao 066004China the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China

Bilateral teleoperation system is referred to as a promising technology to extend human actions and intelligence to manipulating objects *** the tracking control of teleoperation systems,velocity measurements are necessary to provide feedback ***,due to hardware technology and cost constraints,the velocity measurements are not always *** addition,the time-varying communication delay makes it challenging to achieve tracking *** paper provides a solution to the issue of real-time tracking for teleoperation systems,subjected to unavailable velocity signals and time-varying communication *** order to estimate the velocity information,immersion and invariance(I&I)technique is employed to develop an exponential stability velocity *** the proposed velocity observer,a linear relationship between position and observation state is constructed,through which the need of solving partial differential and certain integral equations can be ***,the mean value theorem is exploited to separate the observation error terms,and hence,all functions in our observer can be analytically *** the estimated velocity information,a slave-torque feedback control law is presented.A novel Lyapunov-Krasovskii functional is constructed to establish asymptotic tracking *** particular,the relationship between the controller design parameters and the allowable maximum delay values is ***,simulation and experimental results reveal that the proposed velocity observer and controller can guarantee that the observation errors and tracking error converge to zero.

关键词： Asymptotic stability bilateral teleoperation time-varying delay velocity observer

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Fault-Ride-Through (FRT) Control of a grid-connected Fixed-Speed Wind Energy Conversion system using STATCOM 50

Fault-Ride-Through (FRT) Control of a grid-connected Fixed-S...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Olajube, Ayobami Vedula, Satish Omiloli, Koto Anubi, Olugbenga Moses Department of Electrical and Computer Engineering FAMU-FSU College of Engineering Center for Advanced Power Systems Florida State University United States

ISBN: (纸本)9781665464543

Wind energy conversion system (WECS) is stochastic in nature and has low inertia leading to grid voltage instability, poor reactive power compensation and most importantly fault susceptibility. Variable speed WECS such as the doubly-fed induction generators (DFIG) are well known to reach steady state quickly after fault occurrence without the need for an external reactive power source because of the presence of a back-to-back converter that provides independent control of the active and reactive power unlike in the fixed-speed squirrel cage induction generator (SCIG) counterpart that can’t be stabilized unless an external source of reactive power support is present. However, controlling DFIG is complicated and costly due to complete tripping unlike the fixed-speed generators which doesn’t trip completely when fault occurs. Hence, in this work, a 48-pulse, 3-phase static synchronous compensator (STATCOM) is used to ensure reactive power compensation and fault-ride through (FRT) control of the SCIG against over-voltage emanating from fault occurrence in a grid-connected power system. The goal here is to guarantee voltage stability and fault-ride-through (FRT) control against injected faults within certain time ranges at the point of common coupling (PCC) between the AC source, the load, and the fixed-speed WECS. The numerical simulation shows the fault-ride-through capability of the STATCOM-controlled fixed-speed WECS, good voltage regulation and effective reactive power compensation. © 2024 IEEE.

关键词： Wind power

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Improving Thyroid Disorder Diagnosis via Ensemble Stacking and Bidirectional Feature Selection

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computers, Materials & Continua 2024年第3期78卷 4225-4241页

作者： Muhammad Armghan Latif Zohaib Mushtaq Saad Arif Sara Rehman Muhammad Farrukh Qureshi Nagwan Abdel Samee Maali Alabdulhafith Yeong Hyeon Gu Mohammed A.Al-masni Department of Computer and Information System Cleveland State UniversityOhio44115USA Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Biomedical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Electrical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Artificial Intelligence College of Software and Convergence TechnologySejong UniversitySeoul05006Korea

Thyroid disorders represent a significant global health challenge with hypothyroidism and hyperthyroidism as two common conditions arising from dysfunction in the thyroid *** and timely diagnosis of these disorders is crucial for effective treatment and patient *** research introduces a comprehensive approach to improve the accuracy of thyroid disorder diagnosis through the integration of ensemble stacking and advanced feature selection *** forward feature selection,sequential backward feature elimination,and bidirectional feature elimination are investigated in this *** ensemble learning,random forest,adaptive boosting,and bagging classifiers are *** effectiveness of these techniques is evaluated using two different datasets obtained from the University of California Irvine-Machine Learning Repository,both of which undergo preprocessing steps,including outlier removal,addressing missing data,data cleansing,and feature *** experimentation demonstrates the remarkable success of proposed ensemble stacking and bidirectional feature elimination achieving 100%and 99.86%accuracy in identifying hyperthyroidism and hypothyroidism,*** enhancing detection accuracy,the ensemble stacking model also demonstrated a streamlined computational complexity which is pivotal for practical medical *** significantly outperformed existing studies with similar objectives underscoring the viability and effectiveness of the proposed *** research offers an innovative perspective and sets the platform for improved thyroid disorder diagnosis with broader implications for healthcare and patient well-being.

关键词： Ensemble learning random forests boosting dimensionality reduction machine learning smart healthcare computer aided diagnosis

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Joint Access Selection and Computation Offloading in LEO Ubiquitous Edge Computing Networks: An Alternating DRL-Based Approach

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IEEE Transactions on Cognitive Communications and Networking 2024年第3期11卷 1870-1886页

作者： Yang, Junyi Zhang, Yuanjun Xiao, Zhenyu Han, Zhu Beihang University School of Electronic and Information Engineering Beijing100191 China State Key Laboratory of CNS/ATM Beijing100191 China 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

With the increase in users' service diversity and demand for quality of experience (QoE), the utilization of low earth orbit (LEO) satellite networks for assisted or independent offloading of computation tasks has become a promising trend. However, due to the high mobility and uneven resource distribution of LEO satellites, it is difficult to meet the requirements of low delay and low overhead by using traditional optimization algorithms or common reinforcement learning (RL) algorithms. Therefore, in this paper, we consider a scenario in which terrestrial users offload delay-sensitive (DS) computation tasks to a LEO satellite network in order to study the joint access selection and computation offloading problem. First, we analyze the characteristics of the scenario and the computation tasks, and establish a generic mathematical model. Then, based on the block descent coordinate (BCD) principle, we propose a novel algorithm of alternating Dueling DQN (ADDQN) for the joint decision-making problem, where access selection and computation offloading are performed with corresponding independent agent respectively. Comprehensive simulations show that compared with other benchmark algorithms, the proposed method not only has better convergence, but also can maximize the number of successfully completed sub-tasks and the optimization objective value meanwhile reducing the unnecessary access handovers. © 2024 IEEE.

关键词： Satellites Computational modeling Decision making Low earth orbit satellites Handover Benchmark testing Mathematical models Quality of experience Optimization Convergence

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Effectiveness of advanced ECG Noise Reduction Filters 22

Effectiveness of Advanced ECG Noise Reduction Filters

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22nd International Learning and Technology Conference, L and T 2025

作者： Salem, Nema Jamjoom, Jude Alzahrani, Maria Qashqari, Maha Effat University Electrical Engineering Research Laboratory Effat College of Engineering Jeddah Saudi Arabia Effat University Effat College of Engineering Electrical and Computer Engineering Department Jeddah Saudi Arabia

ISBN: (纸本)9798331532215

The study examined various filtering methods applied to ECG signals;the MIT-BIH Arrhythmia dataset included two channels to reduce noise and artifacts while maintaining critical waveform characteristics. Initial filtering included a notch filter and a bandpass filter. advanced filters such as Savitzky-Golay, Wavelet, Kalman, Wiener, and combined Wiener-Golay were used for noise reduction. Results showed that the Kalman filter performed best with an average SNR of 21.40 dB, while the Wavelet method worked well on channel 2. The Wiener filter was less effective due to its limited adaptability to changing noise. The combined Wiener-Savitzky-Golay filter showed a balanced performance but did not outperform the Kalman filter. Visual inspections of ECG signals from five patients revealed that the Kalman and Wavelet filters successfully maintained crucial morphological characteristics. The Savitzky-Golay filter offered effective smoothing but sometimes dampened the QRS complex, while the Wiener filter introduced high-frequency artifacts. © 2025 IEEE.

关键词： Wiener filtering

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Rate Outage Constrained Energy Efficiency Under MISO Interference Channels

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IEEE Transactions on Wireless Communications 2025年第6期24卷 4677-4689页

作者： Lu, Yang Chi, Chong-Yung Ai, Bo Zhong, Zhangdui Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operationand also with the School of Computer Science and Technology Beijing100044 China National Tsing Hua University Institute of Communications Engineering Department of Electrical Engineering Hsinchu30013 Taiwan Beijing Jiaotong University School of Electronic and Information Engineering Beijing100044 China

This paper investigates the rate outage constrained (ROC) energy efficiency (EE) under multiple-input single-output (MISO) interference channels, where only channel distribution information (CDI) is available at base stations (BSs). An EE maximization problem is formulated under the constraints of tolerable rate outage probability of each user and the power budget of each BS. Due to the computationally intractable form of the considered problem, two equivalent formulations are derived and four algorithms are proposed, where two are based on the block successive upper bound minimization (BSUM) method and the other two are based on the successive convex approximation (SCA) method. Further, the philosophies behind the BSUM-based algorithms and the SCA-based algorithms are analyzed. Numerical results demonstrate the efficacy of the proposed algorithms, while the BSUM-based algorithms are much more computationally efficient than all the state-of-the-art algorithms, as long as all the coupling requirements on quality of service (like ROC transmission) can be fused into EE. Besides, the impacts of power budget, circuit power and tolerable outage probability on the ROC EE are revealed and discussed. © 2025 IEEE. All rights reserved.

关键词： Budget control

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