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Design Method for Q-Enhanced Reconfigurable Bandpass Filters With High Selectivity, Large Bandwidth Variable Range, and Large Dynamic Range

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IEEE Transactions on Microwave Theory and Techniques 2024年第11期72卷 6387-6400页

作者： Chen, Ziyuan Li, Kun Liu, Yuanan Chi, Pei-Ling Yang, Tao University of Electronic Science and Technology of China School of Electronic Science and Engineering Sichuan Chengdu610054 China Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing100876 China National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering Hsinchu300 Taiwan

A design method of generating multiple transmission zeros (TZs) is proposed by introducing feeding-forward transconductance amplifiers for the cascaded Q-enhanced reconfigurable bandpass filters (BPFs) in this article. With the proposed method, it can generate two TZs at the upper and lower stopbands for every two Q-enhancement resonant units, significantly improving the stopband suppression. Furthermore, by controlling the feeding-forward amplifiers, the position of the zero and the depth of the TZs can be flexibly controlled. Meanwhile, to improve the power consumption, linearity, and noise figure (NF), the guideline of distribution of the transmission poles (TPs) generated by the Q-enhancement units is discussed in detail. To demonstrate the proposed method, a reconfigurable on-chip Q-enhanced BPF was designed and measured based on a 55-nm CMOS process with a core area of 1.36× 0.62mm. Multiple TZs were clearly observed in the filter and achieved a stopband suppression of more than 50 dBc up to 15 GHz. The bandwidth of the proposed filter can be tuned with a range covering from 0.2 to 1 GHz at a center frequency of 1.8 GHz, while the center frequency can be tuned from 1.68 to 1.94 GHz with a constant bandwidth of 600 MHz. The input 1-dB compression point (IP1dB) is better than -1 dBm for all tuning states, and the NF varies from 12.7 to 20.3 dB. The dynamic range (DR) can reach more than 165 dB and the total power consumption is less than 180 mW. © 2024 IEEE.

关键词： Bandpass filters

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Transforming Electric Vehicle Navigation Strategies: An AI-Enhanced Framework for Achieving Superior Route Efficiency in Varied Conditions

Transforming Electric Vehicle Navigation Strategies: An AI-E...

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2024 International Conference on Advancement in Renewable Energy and Intelligent Systems, AREIS 2024

作者： Prakash, P. Anandha Radha, R. School of Electrical Engineering Vellore Institute of Technology Chennai India School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9798350387230

Electric vehicles (EVs) are essential for environmentally friendly transportation, there are significant challenges in maximizing their routing in many scenarios. This paper explores advanced predictive analytics strategies aimed at enhancing electric vehicle routing in India. Electric vehicles (EVs) are essential to the progress of sustainable transportation;yet, there are significant challenges in optimizing EV routing in a range of challenging scenarios. This paper focuses on enhancing EV routing in the Indian setting, where varied road conditions, dynamic traffic patterns, and infrastructural constraints are common. We provide a sophisticated routing algorithm that accounts for these problems by including a traffic coefficient, which denotes a 50% increase in effective distance due to high traffic. This method makes use of this traffic coefficient to modify routing computations, guaranteeing more precise and useful route planning in practical situations. By dynamically adjusting to real-time traffic data, the system maximizes route efficiency and lowers EV operating costs. We describe the algorithm's implementation in detail and illustrate its efficacy with simulated results and case studies showing significant gains in routing accuracy. The suggested methodology bridges the gap between theoretical models and real-world implementations, providing insightful information to stakeholders in the Indian EV ecosystem. This work intends to promote EV infrastructure and routing efficiency in India by offering a strong foundation for EV route optimization, which will inform future research and policy-making in this crucial field. © 2024 IEEE.

关键词： charging optimization charging prediction Dijkistra Routing and comparative analysis electric vehicle routing Machine learning traffic prediction

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Domain-Adaptive Clustered Federated Transfer Learning for EV Charging Demand Forecasting

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IEEE Transactions on Power Systems 2025年第2期40卷 1241-1254页

作者： Wang, Tianjing Ren, Chao Dong, Zhao Yang Yip, Christine Nanyang Technological University School of Electrical and Electronic Engineering 639798 Singapore KTH Royal Institute of Technology Wallenberg-NTU Presidential Researcher School of Electrical Engineering and Computer Science StockholmSE-100 44 Sweden City University of Hong Kong Department of Electrical Engineering Hong Kong999077 Hong Kong The University of Sydney CAFEA Smart City Limited Hong Kong and School of Civil Engineering SydneyNSW2006 Australia

To address the privacy concerns for state-of-the-art cutting-edge centralized machine learning in electric vehicle (EV) charging demand forecasting applications, federated learning (FL) has been employed to transfer training processes from the cloud server to edge devices. Nevertheless, traditional FL still grapples with several challenges in terms of personalization, transferability, feature extraction, and data security. This study proposes a domain-adaptive clustered federated transfer learning (FTL) scheme for EV charging demand forecasting. This scheme combines the principles of transfer learning (TL) with FL by utilizing maximum mean discrepancy to measure the differences between local features and cluster them, weight local model parameters in the global model aggregation, and realize domain adaptation for projecting local data and new data to the trained FL model. A multi-head attention-based transformer is leveraged to construct a forecasting model to focus on the most relevant spatio-temporal features. Under multi-stage differential privacy protections, Laplace noise is injected into the local feature, model update and local model during the clustering, FL and TL processes, respectively. The case study demonstrates that the proposed domain-adaptive clustered FTL outperforms the conventional FTL and FL, local training, and other domain shift handling techniques in predictive accuracy and operational risk. © 1969-2012 IEEE.

关键词： Federated learning

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A Study of Transient Electric Field Distribution of XLPE Cable Joint in a VSC-HVDC System

A Study of Transient Electric Field Distribution of XLPE Cab...

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2024 IEEE Conference on electrical Insulation and Dielectric Phenomena, CEIDP 2024

作者： Hu, Yuxiao Ma, Hui Ekanayake, Chandima He, Shixiang Zheng, Linzi Xu, Yang School of Electrical Engineering Xi'an Jiaotong University Xi'an710049 China School of Electrical Engineering and Computer Science The University of Queensland BrisbaneQLD4072 Australia

ISBN: (纸本)9798350366679

Cross-linked polyethylene (XLPE) cable is one of the key assets in a voltage source converter (VSC) based high-voltage direct current (HVDC) system. Due to the complex geometry and interfaces among different material, cable joints are the most critical part of a cable system. In this paper, two typical transient overvoltages (zero-crossing damped overvoltage, very slow front overvoltage) is obtained in a VSC-HVDC system and their effects on the electric field distribution of the joint insulation is investigated. The results are compared with the standard switching impulse tests. The temperature-dependent and electric field-dependent characteristics of insulation conductivity and the ratio of double-layer material conductivities at the joint interface are discussed. It is found that geometry of the cable joint and the ratio of XLPE and ethylene propylene diene monomer (EPDM) conductivities are the dominant factors on both steady-state DC field and transient electric fields caused by the system overvoltage. © 2024 IEEE.

关键词： Impulse testing

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Distributed Cooperative control for Human-Unmanned Aerial Vehicle Swarm Teaming in Target Tracking∗

Distributed Cooperative Control for Human-Unmanned Aerial Ve...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： He, Hangxuan Huo, Mengzhen Duan, Haibin School of Automation Science and Electrical Engineering Beihang University Beijing100083 China School of Automation Science and Electrical Engineering Beihang University Science and Technology on Aircraft Control Laboratory Beijing100083 China

ISBN: (纸本)9781665481090

Over the last decade, the relationship between humans and cyber-physical systems has grown closer, particularly in fields such as manufacturing and transportation. This paper presents a control framework within the engineering domain, wherein a human operator collaborates with a swarm of unmanned aerial vehicles (UAVs) to achieve a shared goal. First, we construct a human-swarm mutual trust model that empowers both parties with a degree of autonomy. Second, we adopt a distributed optimization algorithm integrated with control barrier functions to manage the swarm's motion. The cooperative control framework is demonstrated in a 3D scenario, and simulation results verify the feasibility of the proposed method. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Automated Visualization of NOTAMs with Natural Language Processing

Automated Visualization of NOTAMs with Natural Language Proc...

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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Salyer, Owen G. Phelps, Brady Mourning, Chad Russ College of Engineering and Technology Ohio University School of Electrical Engineering and Computer Science AthensOH United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

NOTAMs (Notices to Air Missions) are crucial in aviation, providing essential information about flight operations such as airport conditions, airspace restrictions, and navigational aids;however, their complex format poses challenges for aviation professionals and laypersons alike. This complexity necessitates advanced technologies for automated information extraction and visualization of the data contained in NOTAMs. Natural language processing (NLP), particularly, named-entity recognition (NER), offers a promising solution by automating the identification and classification of critical information within these notices. This work focuses on employing NER to extract relevant entities from NOTAMs. We then use these extracted entities and a data visualization engine to create 3D representations of the extracted NOTAMs for specific regions. Building on our previous success with Obstruction class NOTAMs, we apply NER to multiple NOTAM classes in order to visualize them in 3D space, with the final goal of creating an automated system which allows for visualization of NOTAMs on a particular flight path or near a queried location. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Natural language processing systems

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Spatial Coordination of Multiple Nonholonomic Agents With Sensory Connectivity Maintenance

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3425-3435页

作者： Chen, Xi Chen, Meimin Zhu, Lijun Chai, Li Wuhan University of Science and Technology Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan430081 China Shandong Huayu University of Technology School of Electrical Engineering Shandong253034 China School of Artificial Intelligence and Automation Wuhan430074 China Zhejiang University College of Control Science and Engineering Hangzhou310027 China

This article aims to propose a general control strategy for coordination of multiple nonholonomic agents in three dimensional space. For real-world applications, since the field sensor equipped on the mobile agents for local information detection and estimation has some limited detecting range, it is necessary to guarantee that the nearby agents must stay within this range of the onboard sensor. This is called sensory connectivity maintenance. A function termed as coordination function with sensory connectivity maintenance (CFSCM) is defined to describe the performances of the coordination as well as the sensory connectivity status between the agents. Then, a general control strategy is designed based on the proposed CFSCM for spatial coordination of multiple nonholonomic agents with sensory connectivity maintenance. Moreover, the applications of the proposed control strategy for formation with omnidirectional sensors and flocking with directional sensors are shown, respectively. Finally, some numerical examples are conducted to validate the theoretical analysis. © 2013 IEEE.

关键词： Maintenance Robot sensing systems Kinematics Vectors Electronic mail Aerospace electronics Three-dimensional displays System dynamics Robot kinematics Multi-agent systems

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Hybrid NOMA Based MIMO Offloading for Mobile Edge Computing in 6G Networks

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China Communications 2022年第10期19卷 12-20页

作者： Yunus Dursun Fang Fang Zhiguo Ding School of Electrical and Electronic Engineering University of ManchesterManchesterUK Department of Electrical and Computer Engineering and the Department of Computer Science Western UniversityLondonCanada

Non-orthogonal multiple access (NOMA), multiple-input multiple-output (MIMO) and mobile edge computing (MEC) are prominent technologies to meet high data rate demand in the sixth generation (6G) communication networks. In this paper, we aim to minimize the transmission delay in the MIMO-MEC in order to improve the spectral efficiency, energy efficiency, and data rate of MEC offloading. Dinkelbach transform and generalized singular value decomposition (GSVD) method are used to solve the delay minimization problem. Analytical results are provided to evaluate the performance of the proposed Hybrid-NOMA-MIMO-MEC system. Simulation results reveal that the H-NOMA-MIMO-MEC system can achieve better delay performance and lower energy consumption compared to OMA.

关键词： NOMA MEC MIMO Generalized sin-gular value decomposition sixth generation networks(6G) delay minimization

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One-Step Plasma Jet Deposition and Self-Sintering of Gold Nanoparticle Inks on Low-Temperature Substrates

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2024年第5期3卷 197-204页

作者： Manzi, Jacob Varghese, Tony Eixenberger, Josh Prakasan, Lakshmi Estrada, David Subbaraman, Harish Oregon State University School of Electrical Engineering and Computer Science CorvallisOR97331 United States Boise State University Department of Electrical and Computer Engineering Micron School of Material Science and Engineering BoiseID83725 United States Boise State University Micron School of Material Science and Engineering Center for Advanced Energy Studies BoiseID83725 United States Idaho National Laboratory Idaho FallsID83415 United States INFlex Labs LLC BoiseID83706 United States

Flexible electronics on low-temperature substrates like paper are very appealing for their use in disposable and biocompatible electronic applications and areas like healthcare, wearables, and consumer electronics. Plasma-jet printing (PJP) uses a dielectric barrier discharge plasma to focus aerosolized nanoparticles onto a target substrate. The same plasma can be used to change the properties of the printed material and even sinter in situ. In this work, we demonstrate the one-step deposition of gold structures onto flexible and low-temperature substrates without the need for thermal or photonic postprocessing. We also explore the plasma effect on the deposition of the gold nanoparticle ink. The plasma voltage is optimized for the sintering of the gold nanoparticles, and a simple procedure for manufacturing traces with increased adhesion and conductivity is presented, with a peak conductivity of 6.2\times 10{5} S/m. PJP-printed gold LED interconnects and microheaters on flexible substrates are developed to demonstrate the potential of this single-step sintered deposition of conductive traces on low-temperature substrates. © 2022 IEEE.

关键词： Sintering

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Collaborative learning-based inter-dependent task dispatching and co-location in an integrated edge computing system

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Digital Communications and Networks 2024年第6期10卷 1837-1850页

作者： Uchechukwu Awada Jiankang Zhang Sheng Chen Shuangzhi Li Shouyi Yang School of Software Henan Institute of Science and TechnologyXinxiang 453003China School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001China Department of Computing and Informatics Bournemouth UniversityPoole BH125BBUK School of Electronics and Computer Science University of SouthamptonSouthampton SO171BJUK Faculty of Information Science and Engineering Ocean University of ChinaQingdao 266100China

Recently,several edge deployment types,such as on-premise edge clusters,Unmanned Aerial Vehicles(UAV)-attached edge devices,telecommunication base stations installed with edge clusters,etc.,are being deployed to enable faster response time for latency-sensitive *** fundamental problem is where and how to offload and schedule multi-dependent tasks so as to minimize their collective execution time and to achieve high resource *** approaches randomly dispatch tasks naively to available edge nodes without considering the resource demands of tasks,inter-dependencies of tasks and edge resource *** approaches can result in the longer waiting time for tasks due to insufficient resource availability or dependency support,as well as provider ***,we present Edge Colla,which is based on the integration of edge resources running across multi-edge *** Colla leverages learning techniques to intelligently dispatch multidependent tasks,and a variant bin-packing optimization method to co-locate these tasks firmly on available nodes to optimally utilize *** experiments on real-world datasets from Alibaba on task dependencies show that our approach can achieve optimal performance than the baseline schemes.

关键词： Edge computing Collaborative learning Resource utilization Execution time Edge federation Gang scheduling

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