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Multiband and Multifunctional Microstrip Fed Antenna for WLAN/LTE/X/Ku Band Applications 7

Multiband and Multifunctional Microstrip Fed Antenna for WLA...

引用

7th IEEE International conference for Convergence in technology, I2CT 2022

作者： Habbu, Shraddha Kulkarni, Jayshri Ghule, Gauri Ratnaparkhi, Archana Alharbi, Abdullah G Sim, Chow-Yen-Desmond Vishwakarma Institute of Information Technology Dept. of Electronics and Telecommunication Pune India Jouf University Dept. of Electrical Engineering Sakaka Saudi Arabia Feng Chia University Dept. of Electrical Engineering Taichung Taiwan

ISBN: (纸本)9781665421683

The aim of this paper is to develop a U-shaped microstrip fed structure consisting of an antenna radiator placed above the two ends of the U-shaped structure. The antenna radiators are mirror image of one another where three caterpillar shaped radiating strips are embedded inside the rectangular strip along with G-shaped radiator placed at vertical side. This designed structure produces four resonances at 2.5 GHz, 10.31 GHz, 11.89 GHz and 17.45 GHz to conform the bandwidth requirement and radio frequency (RF) performance including gain, efficiency, radiation patterns to operate smoothly in Wireless Local Area Network (WLAN), Long Term Evolution (LTE), X and Ku band for wireless, radar and video satellite applications, simultaneously. The proposed caterpillar strip antenna demonstrates the simulated impedance bandwidth of 35.55% (2.20 - 3.16 GHz), 22.68% (9.89 - 12.40 GHz) and 25.09% (16.63 - 18.87 GHz) at resonating frequency of 2.5 GHz, merging of two resonances 10.31GHz & 11.89 GHz, and 17.45 GHz, respectively. The proposed caterpillar strip antenna exhibits the RF performance including gain above 2.5dBi, efficiency greater than 75% and omnidirectional farfield patterns in the desired band of operation. Thus, due to low profile 40×40×0.8mm3, economical structure, multiband and multifunctional capabilities in the desired wireless bands, the presented caterpillar strip antenna is good contender to be embedded inside wireless mobile terminals for wireless, radar and video satellite communication and applications. © 2022 IEEE.

关键词： Radiators

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Federated Learning with Clustering-Based Participant Selection for IoT Applications

Federated Learning with Clustering-Based Participant Selecti...

引用

2022 IEEE International Conference on Big Data, Big Data 2022

作者： Wang, Kevin I-Kai Ye, Xiaozhou Sakurai, Kouichi The University of Auckland Dept. of Electrical Computer and Software Engineering Auckland New Zealand Kyushu University Dept. of Informatics Fukuoka Japan

ISBN: (纸本)9781665480451

Modern Internet of Things (IoT) systems are highly complex due to its mobile, ad-hoc and geographically distributed nature. Very often, an edge-cloud infrastructure is established to offer intelligent services in modern IoT systems. However, IoT edge devices are typically resource-constrained and can not perform sophisticated machine learning algorithm on board. Data sharing with a central server is a common approach of crowdsourcing, but also brings privacy and security concerns. The emerging federated learning offers a promising pathway to achieve an accurate model through distributed machine learning while ensuring data privacy. The existing federated learning process is not tailored to the mobile and adhoc nature of IoT systems where devices are of varying data and system qualities and may not be able to participate the entire training process. Therefore, in this paper, a new federated learning framework is proposed to support asynchronous model fusion with clustering-based participant selection. The proposed framework aims to accommodate the ad-hoc nature of IoT devices, and at the same time avoiding low quality or even malicious data from its participants to ensure model convergence and performance. © 2022 IEEE.

关键词： Internet of things

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Influence of Specimen Selection on Lifetime Prediction of Low Voltage electrical Machines Under Variable Temperature Aging

Influence of Specimen Selection on Lifetime Prediction of Lo...

引用

2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Zhou, Xuanming Ji, Yatai Giangrande, Paolo Zhao, Weiduo Galea, Michael Ijaz, Salman University Of Nottingham Ningbo China Key Laboratory Of More Electric Aircraft Technology Of Zhejiang Province Ningbo China Tsinghua University Department Of Electrical Engineering Beijing China University Of Bergamo Dept. Of Engineering And Applied Sciences Dalmine Italy University Of Malta Dept. Of Electrical Engineering Msida Malta University Of Nottingham Ningbo China Control System Labrotary Ningbo China

ISBN: (纸本)9798331529277

To a great extent, electric machine (EM) lifetime is affected by electrical failures that compromise the integrity of the windings electrical insulation system (EIS). During EMs operation, the EIS suffered various stresses, such as, thermal, electrical, mechanical and ambient (TEAM), which lead the deterioration and decrease the dielectric property of EIS. However, under rated operating conditions, the entire degradation process can take several years before insulation breakdown occurs. Thus, accelerated lifetime tests (ALT) are conventionally performed on various high stress level. Furthermore, the suitable specimen topology should be chosen according to the ALT task objectives, which is also crucial to the resulted lifetime values. In this paper, ALTs at variable temperature profile are performed using two types of specimens (i.e., coils and motorettes). Then, the collected lifetime data are analyzed by statistical tools and the underlying stress mechanism is discussed. Finally, the thermal-mechanical stress is pointed out as the primary factor contributing to lifetime prediction mismatch. © 2024 IEEE.

关键词： Machine windings

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Thermal Crosstalk Rejection for Scaling Quantum-Photonic Systems-on-Chip with Monolithically Integrated Electronics

Thermal Crosstalk Rejection for Scaling Quantum-Photonic Sys...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Kramnik, D. Ramesh, A. Wang, I. Cabanillas, J.M. Fargas Buchbinder, S. Zarkos, P. Adamopoulos, C. Kumar, P. Popovic, M.A. Stojanovic, V. Department of Electrical Engineering and Computer Sciences UC Berkeley BerkeleyCA94720 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States Department of Electrical and Computer Engineering Photonics Center Boston University BostonMA02215 United States

We demonstrate integrated feedback control of a C-band microring quantum-correlated photon-pair source fabricated in a monolithic electronics-photonics platform that maintains lock in the presence of nearby on-die the... 详细信息

ISBN: (纸本)9781957171258

关键词： System-on-chip

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Inter-bridge Power-Sharing Capabilities in a Single-Phase 5-level Cascaded H-Bridge Inverter

Inter-bridge Power-Sharing Capabilities in a Single-Phase 5-...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Pascal Lingom Emmanuel Agamloh Annette Von Jouanne Alex Yokochi Joseph Song-Manguelle Roland Unruh Dept. Electrical and Computer Engineering Baylor University Waco TX Dept. Mechanical Engineering Baylor University Waco TX Dept. Electrical and Computer Engineering University of Quebec Trois-Rivieres Power Electronics/Electrical Drives Paderborn University Paderborn Germany

ISBN: (数字)9798350376067

ISBN: (纸本)9798350376074

This paper investigates inter-bridge power-sharing capabilities for a 5-level cascaded H-bridge inverter (CHBI) operation using different redundant state combinations with the conventional phase-disposition pulse-width-modulation (PD-PWM) technique. It is demonstrated that redundant switching states can be chosen to distribute the power among different modules evenly or unevenly (50% imbalance is possible). As a result, the desired power distribution between the modules with the conventional PD-PWM method is achievable by choosing appropriate redundant switching states without tuning the modulation stage. The proposed method combines balanced power and switching loss distribution across all modulation indices in a single fundamental period. Theoretical analyses of the power balance capability of a 5-level CHBI under the conventional PD-PWM method, followed by PLECS-based simulation results, are presented to demonstrate the advantages of the proposed switching method. Finally, experimental results were provided from a 5-level SiC MOSFET-based CHB inverter Lab setup controlled by a Typhoon HIL 402 device to validate the balance power-sharing method.

关键词： Tropical cyclones Silicon carbide Simulation Modulation Switching loss Switches Inverters Real-time systems Topology Tuning

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Propagation Channel Characterization of 28 GHz and 36 GHz Millimeter-Waves for 5G Cellular Networks

Propagation Channel Characterization of 28 GHz and 36 GHz Mi...

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2022 International Conference on Emerging Trends in electrical, Control, and Telecommunication engineering, ETECTE 2022

作者： Zafar, Saima Saleem, Sheraz National University of Computer and Emerging Sciences FAST-NU Dept. of Electrical Engineering Lahore Pakistan

ISBN: (纸本)9781665492423

Recent advances in 5G wireless technologies calls for larger bandwidth, which motivates design engineers and researchers to explore a higher frequency spectrum than the existing one spectrum of below 6 GHz. Millimeter-wave (mm-Wave) is viewed as the most suitable spectrum to satisfy the constraints for 5G and beyond cellular systems. However, it is observed that enabling mm-Wave can bring several issues like path loss, fading, scattering, coverage inadequacy, penetration loss, and signal attenuation problems. Therefore, augmenting the propagation path is important to indicate the behavior of the wireless channel prior to its deployment in the real-world environment. For this reason, we aim to analyze the two most promising mm-Wave frequency bands;28 GHz and 36 GHz. We have selected the most popular Close-In (CI) & Floating-Intercept (FI) propagation path loss models that helped us to design an urban microcell line of sight (LOS) scenario. Finally, the overall network performance has been investigated by evaluating average user throughput, average cell throughput, cell-edge user throughput, peak user throughput, and spectral capacity. Our results show that the CI model performs much better than the FI model due to its high accuracy, simplicity of implementation, robustness, and single-factor dependency. © 2022 IEEE.

关键词： Millimeter waves

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Data-Enhanced Prediction with Decomposition and Amplitude-Aware Permutation Entropy in Distributed Computing Systems

Data-Enhanced Prediction with Decomposition and Amplitude-Aw...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Haitao Yuan Qinglong Hu Jing Bi Wei Zhang Jia Zhang MengChu Zhou School of Automation Science and Electrical Engineering Beihang University Beijing China Dept. of Computer Science City University of Hong Kong Hong Kong China College of Computer Beijing University of Technology Beijing China Dept. of Computer Science and Engineering University of Connecticut Storrs CT USA Dept. of Computer Science Southern Methodist University Dallas TX USA Dept. of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

In recent years, distributed computing has wit-nessed widespread applications across numerous organizations. Predicting workload and computing resource data can facilitate proactive service operation management, leading to substantial improvements in quality of service and cost efficiency. However, these data often exhibit non-linearity, high volatility, and inter-dependencies across different categories, presenting challenges for accurate forecasting. Consequently, there is a critical need to develop a method that thoroughly and comprehensively analyzes all available data to forecast future trends effectively. This work proposes a novel integrated data-enhanced prediction model named SVI for achieving high-accuracy workload prediction in distributed computing systems. SVI employs the Savitzky-Golay filter and variational mode decomposition for feature processing, whose features are subsequently utilized by Informer for multivariate joint analysis of the enhanced data, achieving high-precision prediction. Ablation and comparative experiments with advanced prediction models are conducted on the Google cluster trace and other typical datasets. Realistic data-driven results indicate that SVI improves the prediction accuracy by 35.4% compared to the original Informer, with each module contributing to the performance enhancement. Furthermore, compared with Autoformer, SVI enhances the prediction accuracy of workload, CPU, and memory by 62.5%, 65.6%, and 69.1 %, respectively.

关键词： Training Accuracy Costs Computational modeling Memory management Organizations Quality of service Predictive models Market research Internet

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Comparative Evaluation of Machine Learning-Based Controller Area Network Intrusion Detection Systems 14

Comparative Evaluation of Machine Learning-Based Controller ...

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14th International Conference on Information and Communication Systems, ICICS 2023

作者： Al-Jarrah, Omar Y. Ramadan, Omar A. Alsaify, Baha Alkhushayni, Suboh Jordan University of Science and Technology Faculty of Computer and Information Technology Dept. Network Engineering and Security P.O. Box 3030 Irbid22110 Jordan Jordan University of Science and Technology Faculty of Engineering Dept. Mechanical Engineering P.O. Box 3030 Irbid22110 Jordan Yarmouk University Dept. Information Systems Irbid Jordan

ISBN: (纸本)9798350307870

The controller area network (CAN) protocol is widely used in vehicle networks. However, it lacks essential security features like confidentiality and authentication. To enhance vehicle security, researchers have proposed and developed various methods, including intrusion detection systems (IDSs). These IDSs play a key role in early detection of potential cyberattacks, safeguarding vehicles, passengers, and road users. Machine learning (ML) algorithms are increasingly employed in CAN IDSs but they face challenges due to diverse experimental settings, datasets, and metrics used for evaluation, impeding progress and comparison of different approaches in this field. This study aims to benchmark well-recognized ML algorithms, including gaussianNB, k-nearest neighbors (KNN), decision trees (DT), random forest (RF), long short-term memory (LSTM), and convolutional neural networks (CNN), for intrusion detection in CAN. We evaluate the performance of these algorithms using seven evaluation metrics on the real ORNL automotive dynamometer (ROAD) dataset, a state-of-the-art benchmark in this field. Experimental results demonstrate that KNN, DT, RF, LSTM, and CNN can detect various types of attacks (e.g., Fuzzing, targeted ID, and masquerade attacks) with high accuracy. However, the computational and time efficiency of tree-based classifiers, namely DT and RF, makes them a potentially appealing choice for real-time intrusion detection tasks in CAN. © 2023 IEEE.

关键词： Intrusion detection

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Load Frequency Control Scheme Controller Design for Isolated and Conventional Two Area Power Systems 4

Load Frequency Control Scheme Controller Design for Isolated...

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4th International Conference on Advances in electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Soni, Mukesh Mittal, Amit Soomar, Arsalan Muhammad Sahoo, Pooja Markam, Karuna Singh, Shweta Dr. D.Y. Patil Vidyapeeth School of Science and Technology Pune India Dept. of Allied Sciences Bhimtal India GdanskUniversity of Technology Electrical and Control Engineering Gdansk Poland Madhav Institute of Tech. and Science Dept. of Electronics Engineering Gwalior India Ies College of Technology Department of Electronic and Comm. Bhopal India

ISBN: (纸本)9798350343670

The adaptive optimal control approach for the isolated and interconnected power systems, AGC scheme using PI technique is presented in this research. Due to the policy evaluation and policy improvement phases, which analyze and update the cost and control policy, the PI approach can provide adaptive optimal control without using all system states. This is possible through policy evaluation and improvement. An adaptive optimal control strategy based on the PI methodology may be model-free. To complete this work, a comparison of the PI-based and LQR-based schemes efficiency is needed. The adaptive optimum control approach's efficiency has also been studied following several parameter change scenarios. Simulations show that the PI-based adaptive optimum control approach surpasses the LQR-based framework in effectiveness © 2024 IEEE.

关键词： AGC LFC Linear Quadratic Regulator (LQR) LQR Optimal Control Power Systems

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Connectivity Preserving Anonymization of Smart Grid Network Configurations

Connectivity Preserving Anonymization of Smart Grid Network ...

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2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2022

作者： Nicol, David M. University of Illinois Urbana-Champaign Dept. of Electrical and Computer Engineering UrbanaIL United States

ISBN: (数字)9781665432542

ISBN: (纸本)9781665432542

We describe a method where a utility can anonymize network device configurations and upload them to a remote service provider who analyzes connectivity (oblivious to the anonymization) and returns the results in anonymized coordinates to the utility, where they are de-anonymized. The approach has application for sharing problematic configurations with vendors, for cloud-based services that analyze connectivity and detect problems, and for connectivity of the sort regulated by NERC-CIP requirements. © 2022 IEEE.

关键词： Smart power grids

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