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A Stable Task Assignment Mechanism for Multi-Platform Mobile Crowdsensing

IEEE Transactions on Vehicular Technology 2025年第5期74卷 8079-8094页

作者： Peng, Shuo Zhang, Guo Zhang, Baoxian Yao, Zheng Liu, Chen Li, Cheng University of Chinese Academy of Sciences Research Center of Ubiquitous Sensor Networks Beijing100049 China University of British Department of Electrical and Computer Engineering BCV6T 1Z4 Canada Simon Fraser University School of Engineering Science BurnabyBCV5A 1S6 Canada

Mobile crowdsensing (MCS) is a new paradigm for Internet of Things. It can fully utilize the smart devices carried by mobile users for accomplishing various sensing tasks. Most existing task assignment mechanisms have assumed the availability of just a single service platform and without considering the preference of users and platforms. In this paper, we focus on studying how to design efficient task assignment mechanism when there are multiple service platforms in the MCS system and further the preferences of both users and platforms are considered while the sensing quality of each user is unknown in advance. The design objective is to maximize the overall sensing qualities of all completed tasks while respecting the budget constraint of each platform. We build a multi-platform oriented task assignment framework and formulate the problem under study as a 0-1 integer linear programming (ILP) problem. We propose a Multi-platform Stable Task Assignment mechanism (MSTA). MSTA works in a round by round manner. In each round, MSTA first performs budget splitting among different task locations for each platform, then makes stable matching between users and platforms and performs online learning of users' sensing qualities by using the multi-armed bandit (MAB) model. We deduce the time complexity of MSTA and prove that MSTA has the properties of stability, individual rationality, budget feasibility, and truthfulness. Simulation results demonstrate the high performance of the proposed MSTA mechanism. © 1967-2012 IEEE.

关键词： Budget control

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Multidomain Object Detection Framework Using Feature Domain Knowledge Distillation

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IEEE Transactions on Cybernetics 2024年第8期54卷 4643-4651页

作者： Jaw, Da-Wei Huang, Shih-Chia Lu, Zhi-Hui Fung, Benjamin C. M. Kuo, Sy-Yen National Taiwan University Department of Electrical Engineering Taipei106 Taiwan National Taipei University of Technology Department of Electronic Engineering Taipei106 Taiwan Fudan University School of Computer Science The Engineering Research Center of Cyber Security Auditing and Monitoring Ministry of Education Shanghai200433 China McGill University School of Information Studies MontrealQCH3A 1X1 Canada

Object detection techniques have been widely studied, utilized in various works, and have exhibited robust performance on images with sufficient luminance. However, these approaches typically struggle to extract valuable features from low-luminance images, which often exhibit blurriness and dim appearence, leading to detection failures. To overcome this issue, we introduce an innovative unsupervised feature domain knowledge distillation (KD) framework. The proposed framework enhances the generalization capability of neural networks across both low- and high-luminance domains without incurring additional computational costs during testing. This improvement is made possible through the integration of generative adversarial networks and our proposed unsupervised KD process. Furthermore, we introduce a region-based multiscale discriminator designed to discern feature domain discrepancies at the object level rather than from the global context. This bolsters the joint learning process of object detection and feature domain distillation tasks. Both qualitative and quantitative assessments shown that the proposed method, empowered by the region-based multiscale discriminator and the unsupervised feature domain distillation process, can effectively extract beneficial features from low-luminance images, outperforming other state-of-the-art approaches in both low- and sufficient-luminance domains. © 2013 IEEE.

关键词： Feature extraction

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Non-Hermitian polarization quantized by time-reversal symmetry

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Science China(Physics,Mechanics & Astronomy) 2024年第12期67卷 141-147页

作者： Jing Cheng Jinbing Hu Zhigao Hu Lin Chen Minghui Lu Songlin Zhuang Technical Center for Multifunctional Magneto-Optical Spectroscopy(Shanghai) Engineering Research Center of Nanophotonics&Advanced Instrument(Ministry of Education)Department of Physics and Electronic ScienceEast of China Normal UniversityShanghai200241China College of Optical-Electrical Information and Computer Engineering University of Shanghai for Science and TechnologyShanghai200093China Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan430074China National Laboratory of Solid State Microstructures Science and Engineering Nanjing UniversityNanjing210093China

It is well known that in one-dimensional(1D) crystalline insulators,the electric polarization is a manifestation of Berry phase,which can not be quantized by time-reversal symmetry(TRS) as in Hermitian physics TRS does not induce any topological phase in one *** this paper we report that even though associated with complex eigenenergies a 1D non-Hermitian insulator obeying only TRS is capable of presenting quantized bulk *** underlying physical reason is unveiled:TRS guarantees the complex energies to come in pair(E,E*),and the corresponding decaying and amplifying wave functions also come in pair and have the same variation rate,hence,giving rise to a stable wannier *** electron transport is performed by means of charge pumping process,which verifies the physical mechanism *** last,we discuss the possible experimental implementation of the proposed model by means of twisted-π gauge flux.

关键词： non-Hermitian polarization time-reversal symmetry complex hopping

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Trajectory tracking method of UAV based on discrete-time terminal sliding mode 41

Trajectory tracking method of UAV based on discrete-time ter...

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第41届中国控制会议

作者： Hao Guo Shuai Yue Bo Yu Haibo Du Shaoyu Lyu Xiaozheng Jin School of Electrical Engineering and Automation Hefei University of TechnologyHefeiAnhui 230009P.R.ChinaAnhui Province Engineering Research Center for Industrial AutomationHefei University of Technology College of Computer Science and Technology Qilu University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at the problem of parameter uncertainty and external interference in the trajectory tracking of quadrotor unmanned aerial vehicle(UAV),a discrete-time fast terminal sliding mode control(FTSMC) scheme is proposed in this ***,the position model of the UAV is derived based on the dynamic equation,and the discrete-time model of the UAV is obtained and analyzed by Euler discretization ***,by introducing a new discrete-time fast terminal sliding mode surface,and designing the fast sliding mode terminal control rate based on equivalent control,the UAV can track the desired trajectory with small steady-state ***,in the experimental part,the feasibility and superiority of this scheme are verified by comparing with the traditional PID position control method.

关键词： quadrotor UAV track tracking discrete-time terminal sliding mode fast terminal sliding mode

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An Adaptive Frequency Regulation Strategy for Electric Vehicle Integrated Community Microgrid

An Adaptive Frequency Regulation Strategy for Electric Vehic...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Latif, Abdul Hussain, S. M. Suhail Aftab, Mohd Asim Abido, Mohammad A. Khalifa University Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates Electrical Engineering Department Dhahran Saudi Arabia Dhahran Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence Dhahran Saudi Arabia

ISBN: (纸本)9781665471640

Owing to the current environmental concerns, the renewable energy sources (RESs) have become popular for power generation. High penetration of RESs in distribution system has resulted in emergence of concepts of community microgrids (CMG) to efficiently balance the supply and demand. However, due to capricious weather, generated power and varying loading conditions CMG frequency get adversely affected. This paper puts forth a control strategy for mitigation of frequency excursions in CMG using non-integer integral with tilt integral double derivative (NII-TIDD) controller optimized using moth flame technique (MFT). Performance of the proposed scheme is compared against PID and non-integer order PI (NOPI) controller. The study further investigates the effect of electric vehicle (EV) in stabilizing the system frequency in the backdrop of a disturbance. Finally, for more realistic assessment, the control strategy is also evaluated under real time wind data. © 2023 IEEE.

关键词： Combine solar micro-turbine Fractional order PID controller Load frequency stabilization Moth flame technique

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Performance Analysis of Different Communication Mechanisms for IEC 61850 Type 1 and Type 4 Messaging Over Wide Area Networks

Performance Analysis of Different Communication Mechanisms f...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Hussain, S. M. Suhail Aftab, Mohd Asim Latif, Abdul Abido, Mohammad A. Khalifa University Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates Electrical Engineering Department Dhahran Saudi Arabia Dhahran Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence Dhahran Saudi Arabia

ISBN: (纸本)9781665471640

Substation automation driven by the IEC 61850 standard plays a crucial role in modernizing power systems. As power systems expand, the need arises to extend IEC 61850 services beyond substations to cater to wide-area protection and coordination applications. IEC 61850 standard part 90-1 and 90-5 define different mechanisms such as gateway, tunneling, and routable approach, for transporting IEC 61850 Type 1 and Type 4 messages over Wide Area Networks (WANs). However, performance evaluations of these mechanisms in terms of End-to-End (ETE) delay is unexplored. Filling this gap, this paper presents rigorous performance evaluations using network simulator tools to assess metrics like ETE delay for different mechanisms reported in IEC 61850 standards. The study's findings contribute to advancing substation automation systems, reinforcing the importance of reliable power system communication in the digital era. © 2023 IEEE.

关键词： Communication network End to End Delays IEC 61850 Performance evaluation Substation automation

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Backstepping-Based Adaptive Cooperative Control For Multiple Euler-Lagrange Systems Under Unknown Harmonic Disturbances

Backstepping-Based Adaptive Cooperative Control For Multiple...

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2023 China automation Congress, CAC 2023

作者： Chen, Ying Zhao, Zi-Yi Sun, Peng Guo, Xiang-Gui Wang, Jian-Liang Coutinho, Daniel School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing Engineering Research Center of Industrial Spectrum Imaging Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Hangzhou Innovation Institute of Beihang University Collaborative Flying Robotics HangZhou China Universidade Federal de Santa Catarina Department of Automation and Systems Florianópolis Brazil

ISBN: (纸本)9798350303759

This paper studies cooperative control problem for multiple Euler-Lagrange systems with unknown harmonic disturbances, where the disturbances are the superposition of sinusoidal components with unknown amplitude, phase, and frequency. A novel adaptive disturbance observer without requiring the disturbance frequency information is designed to estimate the disturbances. Over the directed network topology, a cooperative control scheme is proposed based on backstepping techniques, so that the tracking error is ultimately uniformly bounded. The scheme developed can be used to reject the harmonic disturbances in a uniform way, which means the characteristics of the disturbances can be described as a fixed parameter vector. Finally, an application is presented to demonstrate the effectiveness of the proposed control strategy in the context of a two-link manipulator system. © 2023 IEEE.

关键词： Backstepping

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Ferroelectric Enhancement in a TiN/Hf1-xZrxO2/W Device with Controlled Oxidation of the Bottom Electrode

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ACS Applied Electronic Materials 2024年第2期6卷 1078-1086页

作者： Chiniwar, Santosh P. Hsieh, Ya-Chen Shih, Ching-Hsiang Teng, Chih-Yu Yang, Jheng-Lin Hu, Chenming Lin, Bi-Hsuan Tang, Mau-Tsu Tseng, Yuan-Chieh Department of Material Science & Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan International College of Semiconductor Technology National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States National Synchrotron Radiation Research Center Hsinchu30076 Taiwan

Hf1-xZxO2 (HZO) is a promising ferroelectric (FE) material with CMOS compatibility, while the TiN/HZO/W metal-ferroelectric-metal structure provides balanced thermal expansion for stacking. In this study, we developed a 7 nm film of HZO with a FE polarization (2Pr) value of ∼43 μC/cm2 and cycling endurance of 108 by determining the appropriate oxidation state for a W bottom electrode deposited via atomic layer deposition with a relatively low annealing temperature of 400 °C. To visualize FE uniformity, we used X-ray absorption spectroscopy phase mapping to construct a two-dimensional map of the orthorhombic (O), tetragonal (T), and monoclinic (M) phases of the HZO film. Subsequent orientation- and chemical-state-resolved X-ray analysis revealed that the enhanced FE polarization performance can be attributed to the combined effects of interface strain and oxygen vacancies. Piezoelectric force microscopy verified the switching uniformity of the devices and revealed the electrical characteristics for use in device optimization. © 2024 The Authors. Published by American Chemical Society

关键词： X ray diffraction analysis

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Deep Learning in Remote Sensing for Climate-Induced Disaster Resilience: A Comprehensive Interdisciplinary Approach

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Remote Sensing in Earth Systems Sciences 2024年第1期8卷 145-160页

作者： Padmaja, S.M. Naveenkumar, R. Kumari, N. P. Lavanya Pimo, Er. S. John Bindhu, M. Konduri, Bhagavan Jangir, Pradeep Department of Electrical and Electronics Engineering Shri Vishnu Engineering College for Women Bhimavaram India Department of Computer Science and Engineering Chandigarh Colleges of Engineering Chandigarh Group of Colleges Jhanjeri Punjab Mohali 140307 India Department of Computer Science and Systems Engineering AUCE Andhra University Visakhapatnam India Department of Computer Science and Engineering St. Xavier’s Catholic College of Engineering Nagercoil India Department of ECE Sri Venkateswara College of Engineering Sriperumbudur India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram India Department of Biosciences Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman 19328 Jordan

Climate-induced disasters pose significant threats to human lives, infrastructure, and ecosystems. Deep learning techniques, combined with remote sensing, offer powerful tools for predicting, detecting, and mitigating the impacts of such disasters. This study presents a comprehensive interdisciplinary approach using a hybrid cascaded CNN-RNN model to perform spatio-temporal analysis, enhanced image segmentation with U-Net and SegNet architectures, and a hybrid CNN-LSTM-XGBoost ensemble for multi-hazard prediction. The proposed CNN-RNN model achieves an accuracy of 96.78%, significantly outperforming traditional models in predicting flood-prone areas, wildfires, and droughts. Key metrics such as Intersection over Union (IoU), precision, recall, and F1-scores are used to evaluate model performance, highlighting the model’s ability to accurately identify disaster-prone areas and improve disaster resilience. This research not only demonstrates the efficacy of deep learning for climate-induced disaster prediction but also paves the way for future integration of socio-economic data to refine disaster risk assessment. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Climate-induced disasters CNN-RNN Deep learning Disaster resilience Hybrid ensemble Multi-hazard prediction Remote sensing SegNet Spatio-temporal analysis U-Net

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A Stand-Alone, in Situ, Soil Quality Sensing System for Precision Agriculture

IEEE Transactions on AgriFood Electronics

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IEEE Transactions on AgriFood Electronics 2024年第1期2卷 43-50页

作者： Sophocleous, Marios Karkotis, Andreas Papasavva, Antri Goldberger, Michale Vassiliou, Loukia Ros-Lis, Jose Vicente Shacham-Diamand, Yosi Georgiou, Julius University of Cyprus Department of Electrical & Computer Engineering Nicosia2109 Cyprus Rural Development and Environment Agricultural Research Institute Ministry of Agriculture Nicosia1516 Cyprus University of Valencia Department of Inorganic Chemistry Valencia46010 Spain Tel Aviv University Department of Physical Electronics School of Electrical Engineering Tel Aviv69978 Israel Reichman University Head of the Scojen Institute for Synthetic Biology Center Herzliya4610101 Israel

The pressure on agricultural efficiency is nowadays greater than ever, hence there has been an abrupt technological involvement in this sector in the last decade. In this article, a stand-alone, in situ, soil quality sensing system is presented for the first time, capable of monitoring chemical parameters in the soil without any human intervention. The system is capable of measuring potassium and nitrate concentrations with a sensitivity of ∼0.6 μA/mM (R^2 = 0.9775) and ∼2 μA/mM (R^2 = 0.9708) in the range of 0.1-10 mM, pH with a sensitivity of ∼-30 mV/pH (R^2 = 0.9068) in the range of 4-10, and temperature with a sensitivity of ∼1.6 Ω/^oC (R^2 = 0.9999) in the range of -30 to 60 °C. It includes an impedance probe for impedance measurements up to 1 MHz. A unique packaging was also developed to protect the array from the soil while allowing enough time for the sensors to take precise measurements. The thick-film multisensor array was connected to a stand-alone, electronic node, while the complete system was deployed in the field, taking measurements every 30 min, showing the capability to track watering and fertilizing times. © 2023 IEEE.

关键词： Screen printing

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