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International Conference on electrical and computer engineering (ICECE)

作者： Muhammad Asad Rahman Md. Naimur Rahman Md. Azad Hossain Maodudul Hasan Eisuke Nishiyama Ichihiko Toyoda Faculty of Electrical and Computer Engineering Chittagong University of Engineering and Technology Bangladesh Department of Electrical and Electronic Engineering Saga University Saga Japan

This article presents a multi-layer hexad-polarization compatible reconfigurable square shaped patch antenna. With an intent to use in the sub–6 GHz spectrum, the proposed antenna’s polarization can be switched among horizontal linear polarization (LP), vertical LP, slant ±45° LP, right-hand circular polarization (RHCP), and left-hand CP (LHCP) by controlling PIN diodes in switchable feed network. By incorporating two orthogonal aperture-coupled switchable feed networks and a 180° phase shifter, the proposed antenna can operate at single or dual feeding mode. The horizontal and vertical LP can be attained by exciting single port. On the other hand, slant +45° LP, –45° LP, RHCP, and LHCP can be achieved by switchable dual port excitation. Low cross-polarization and high isolation in each mode make the proposed antenna more attractive for wireless applications. The proposed antenna has 10-dB impedance bandwidth of 1.19% for LP, 0.89% for LHCP, and 1.19% for RHCP. Moreover, 3-dB axial ratio (AR) bandwidth of 5.97% for RHCP and 7.19% for LHCP are attained. Better isolation characteristic (

关键词： Wireless communication Polarization Patch antennas Phase shifters Resonant frequency Switches Microstrip antennas

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Boolean matrix compressed sensing

Boolean matrix compressed sensing

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Liu, Qiang Soleymani, Mahdi Mahdavifar, Hessam National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou310027 China Halıcıoğlu Data Science Institute University of California La Jolla San DiegoCA92093 United States Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States

ISBN: (纸本)9798350368741

In real-world datasets, leveraging the low-rank and sparsity properties enables developing efficient algorithms across a diverse array of data-related tasks, including compression, compressed sensing, matrix completion, etc. Notably, these two properties often coexist in certain real-world datasets, especially in Boolean datasets and quantized real-valued datasets. To harness the advantages of low-rank and sparsity simultaneously, we adopt a technique inspired by compressed sensing and Boolean matrix completion. Our approach entails compressing a low-rank sparse Boolean matrix by performing inner product operations with a randomly generated Boolean matrix. We then propose a decoding algorithms based on message-passing techniques to recover the original matrix. Our experiments demonstrate superior recovery performance of our proposed algorithms compared to Boolean matrix completion, with equal measurement requirements. © 2025 IEEE.

关键词： Belief Propagation Boolean Matrix Compressed Sensing Matrix Completion

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Tekele Zemamie Action Recognition in Ethiopia Orthodox Tewahedo Church Using CNN-Bi-LSTM

Tekele Zemamie Action Recognition in Ethiopia Orthodox Tewah...

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Information and Communication Technology for Development for Africa (ICT4DA), International Conference on

作者： Tenagne Fikirie Emiyamrew Azmeraw Wakjira Tesfay Abrham Debasu Faculty of Electrical and Computer Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Department of Computer Engineering College of Engineering University of Gondar Gondar Ethiopia Department of Computer Engineering Assosa University Assosa Ethiopia Faculty of Computing Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia

ISBN: (数字)9798331527792

ISBN: (纸本)9798331527808

Human action recognition (HAR) is a computer vision technique used to understand the activity of the action performed in the scene. computer vision technology has become popular and is applied in various areas like surveillance systems, robot vision, satellite imaging, etc. However, using computer vision in human activity recognition is still challenging due to the dynamic movement of human motion, noise, occlusion, complex background, variable dressing style, varying illumination, and others. Various research has been conducted to address these problems, yet they remain challenging. In this study, we applied human action recognition techniques to interpret the meaning of Tekele Zemamie's actions in the Ethiopian Orthodox Tewahedo Church. Tekele Zemamie is church choirs' most common activity during stage ceremonies and other events. To carry out the research experimental work we have prepared 900 video clip datasets. The dataset was recorded in a 2.5-meter distance using a 48MP Camera. From the dataset, 80% was used for training and the remaining 20% was used to test the model's performance. We applied skip frame selection techniques to a single video by selecting 30 frames and we applied spatial and temporal feature extraction techniques. To overcome the stated problems and to develop the recognition model experimental works have been examined using two deep-learning models CNN_LSTM and CNN_Bi-LSTM, and we achieved 95% and 97% recognition accuracy respectively. From the proposed models, CNN_Bi-LSTM works better than the other model.

关键词： Training Performance evaluation computer vision Accuracy Satellites Surveillance Robot vision systems Noise Human activity recognition Long short term memory

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A Hybrid-Logic Scheme for High-Performance and Low-Power Decoders in 7nm Process

A Hybrid-Logic Scheme for High-Performance and Low-Power Dec...

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International Conference on Solid-State and Integrated Circuit Technology

作者： Donghao Xia Yuejun Zhang Mengfan Xu Liang Wen Yiting Guo Faculty of Electrical Engineering and Computer Science Ningbo University Zhejiang China Department of Electronic Technology China Coast Guard Academy Ningbo China

ISBN: (数字)9798350361834

ISBN: (纸本)9798350361841

Advancing memory circuitry has heightened the performance criteria for memory in diverse chip applications. Decoders, serving as peripheral circuits to memory devices, have be a prominent area of academic interest. The new NAND/NOR gate circuits are proposed using pass-transistor logic (PTL) and transmission gate logic (TGL). The two hybrid-logic design schemes of high-performance and low-power (HPLP) and HPLP inverting (HPLPI) utilizing PTL and TGL gate in combination with static CMOS logic for decoders are proposed, while achieving fewer transistors, faster speed, lower power dissipation as compared to conventional circuits. Experiments are conducted in TSMC 7nm FinFET process for hybrid-logic decoders. The simulation results indicate that, in comparison to conventional decoders, the proposed hybrid-logic 3–8 decoder demonstrates improvements, with the HPLP design reducing delay by over 19% and power by over 71%, and the HPLPI design reducing delay by over 17% and power by over 48%.

关键词： Performance evaluation Simulation Voltage Logic gates FinFETs Decoding Delays Power dissipation Transistors Logic

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Advancing Sustainable IoT Appliance Load Monitoring Through Edge-Enabled Federated Transfer Learning

Advancing Sustainable IoT Appliance Load Monitoring Through ...

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Green Energy, Computing and Sustainable Technology (GECOST), International Conference on

作者： Yuvaraj Natarajan Gitanjali Wadhwa Sri Preethaa K R Karthic Sundaram Rama Abirami K Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India ScaDS.AI Dresden/Leipzig (ZIH) Technische Universitat Dresden (TUD) Dresden Germany (Deutschland) Department of Electrical and Computer Engineering Faculty of Engineering and Science Curtin University Malaysia

Non-intrusive Appliance Load Monitoring (NALM) is essential for efficient electricity consumption tracking in households, promoting eco-friendly practices, and cost reduction. Privacy concerns in real-world NALM implementations can be addressed using federated learning. However, challenges persist, such as limited training data, edge model customization, and resource constraints. We introduce a practical federated learning framework for NALM, leveraging cloud-based model compression, collaborative data collection, and personalized edge and multi-task learning models through unsupervised transfer learning. Our advanced load monitoring model offers precise energy disaggregation through real-world experimentation, making it a leading solution for non-intrusive appliance load monitoring on edge devices. It maintains excellent learning performance and user privacy. Future research should aim to enhance federated learning efficiency and tackle remaining challenges in practical NALM implementations

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PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware Object Masking

PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Micha Heiß Jakob Grimm Hansen Dengyun Li Michał Kozłowski Erdal Kayacan Department of Electrical and Computer Engineering Artificial Intelligence in Robotics Laboratory (AiR Lab) Aarhus University Aarhus C Denmark Department of Electrical Engineering and Information Technology Automatic Control Group Paderborn University Paderborn Germany

This paper proposes PredictiveSLAM, a novel extension to ORB-SLAM2, which extracts features from specific regions of interest (ROI). The proposed method was designed with the risk posed both to humans and robotic systems in large-scale industrial sites in mind. The ROI are determined through an object detection network trained to detect moving human beings. The method detects and removes humans from feature extraction, predicting their potential future trajectory. This is done by omitting a specific ROI from extraction, deemed to be occluded in consecutive time steps. Two masking methods -static object and moving object trajectories - are proposed. This approach improves tracking accuracy and the performance of SLAM by removing the dynamic features from the reference for tracking and loop closures. The method is tested on data collected in a laboratory environment and compared against a state-of-the-art ground truth system. The validation data was collected from real-time experiments which aimed at simulating the typical human worker behaviours in industrial environments using an unmanned aerial vehicle (UAV). This study illustrates the advantages of the proposed method over earlier approaches, even with a highly dynamic camera setup on a UAV working in challenging environments.

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Data-Efficient control Barrier Function Refinement

arXiv

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arXiv 2023年

作者： Dai, Bolun Huang, Heming Krishnamurthy, Prashanth Khorrami, Farshad Control/Robotics Research Laboratory Electrical & Computer Engineering Department Tandon School of Engineering New York University BrooklynNY11201 United States

control barrier functions (CBFs) have been widely used for synthesizing controllers in safety-critical applications. When used as a safety filter, it provides a simple and computationally efficient way to obtain safe controls from a possibly unsafe performance controller. Despite its conceptual simplicity, constructing a valid CBF is well known to be challenging, especially for high-relative degree systems under nonconvex constraints. Recently, work has been done to learn a valid CBF from data based on a handcrafted CBF (HCBF). Even though the HCBF gives a good initialization point, it still requires a large amount of data to train the CBF network. In this work, we propose a new method to learn more efficiently from the collected data through a novel prioritized data sampling strategy. A priority score is computed from the loss value of each data point. Then, a probability distribution based on the priority score of the data points is used to sample data and update the learned CBF. Using our proposed approach, we can learn a valid CBF that recovers a larger portion of the true safe set using a smaller amount of data. The effectiveness of our method is demonstrated in simulation on a unicycle and a two-link arm. © 2023, CC BY.

关键词： controllers

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Sensitivity Analysis of Weighting Factors for Conditional and Importance Criteria in Gas Insulated Substation Health and Importance Indices

Sensitivity Analysis of Weighting Factors for Conditional an...

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International electrical engineering Congress (iEECON)

作者： Cattareeya Suwanasri Makkrapong Somboon Pongwisit Rattanasri Thanapong Suwanasri Department of Electrical and Computer Engineering Faculty of Ebgineering Bangkok Thailand The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

The effective maintenance of Gas Insulated Switchgear (GIS) in high-voltage (HV) substations is essential for ensuring system reliability and minimizing unplanned downtime. The percentage Health and Importance Indices (%HI and %ImI) are key metrics used to assess the criticality of various factors influencing GIS performance, such as equipment age, maintenance history, insulation quality, environmental conditions, and operational performance. This research performs a sensitivity analysis on the weighting factors applied to the %HI and %ImI, examining how changes in these weightings affect the indices. Using a weighting and scoring technique, the analysis investigates the impact of varying each parameter’s weight on the overall %HI and %ImI, identifying the most sensitive factors that influence maintenance decisions. The actual data for both the conditional factors and importance criteria are applied in these calculations. Subsequently, the actual scores of six units GIS are computed using ten different weighting sets. The results demonstrate that the weighting values follow a linear approach, where higher weight values indicate a greater influence on the respective criterion. In addition, the sensitivity of the weighting factors significantly impacts the process of adjusting the range for %HI and %ImI, ultimately affecting GIS health and importance identification and informing maintenance planning.

关键词： electrical engineering Substations Sensitivity analysis Switchgear High-voltage techniques Maintenance Planning Gas insulation Indexes History

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Ramifications of the Greenhouse Effect: A Closed Vehicle Example

Ramifications of the Greenhouse Effect: A Closed Vehicle Exa...

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International Conference on Smart Systems and Technologies (SST)

作者： Dina Jukić Hrvoje Glavaš Jana Dukić Lukrecia Vulić Department of Core Courses Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia Department of Power Engineering Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9781665482158

ISBN: (纸本)9781665482165

In this contribution, ramifications of the greenhouse effect on a closed vehicle exposed to solar radiation are discussed. The Earth's atmosphere-the vehicle is considered a system which physical background of energy transfer and transformations are analyzed. Based on the physics presented, a product is proposed: barium sulphate window covers that would minimize the effect. Such covers are easy to assemble, can be DIYed, preserve vehicle interior, and lover fuel consumption due to air-conditioning temperatures, which have the second most negative effect on the fuel economy.

关键词： cover energy transfer energy transformation greenhouse effect vehicle

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Cooperative control Strategy for Virtual Inertia Based on Fuzzy control 8

Cooperative Control Strategy for Virtual Inertia Based on Fu...

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8th International Conference on control Science and Systems engineering, ICCSSE 2022

作者： Gao, Zhimin Cao, Yongji Zhang, Hengxu Qin, Hao Zhang, Xiaoning Li, Changgang Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China Technical University of Denmark Department of Electrical Engineering Kgs. Lyngby Denmark School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781665484138

The large-scale integration of renewable energies brings about low inertia characteristics to the power system, and the frequency security faces greater challenges. The existing inertia research lacks the synergy between different types of inertia sources and different control methods, and the inertia response capability of power system still can be improved. In this paper, with the aim of proposing a virtual inertia cooperative control strategy for the power system with high penetration of renewable energies, we analyze the virtual inertia mechanisms of wind power, PV units and energy storage system (ESS), and propose control methods for wind power and PV units to participate in inertia response. Considering the reason of limited inertia response capability of renewable energy units, the fuzzy control is used to make the ESS participate in inertia compensation to improve the frequency response capability. Finally, case study is carried out to verified the effectiveness of the proposed control strategy. © 2022 IEEE.

关键词： Fuzzy control

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