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5th IEEE International Conference on Telecommunications and Photonics, ICTP 2023

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

ISBN: (纸本)9798350393477

A 2-element microstrip multiple-input multiple-output (MIMO) antenna with circular polarization (CP) diversity is reported for 5G wireless applications in the sub-6 GHz band. The MIMO configuration in a single layer consisting of two square-shaped radiating elements, each with two input ports, is implemented on a shared ground surface. The attainment of CP diversity is facilitated by incorporating a 90º branch-line coupler (BLC) inside the feed network. The generation of a ±90º out-of-phase signal, which is utilized to excite left-hand CP (LHCP) and right-hand CP (RHCP) signals by means of orthogonal feed lines of each patch, is achieved by employing a 90º BLC. Additionally, enhanced isolation can be attained by implementing a T-shaped slot on the shared ground plane using a defective-ground approach positioned between two antenna elements. For LHCP/RHCP, a measured 3-dB axial ratio bandwidth of 4.81% is obtained. Moreover, a satisfactory CP radiation performance is attained in the operating frequency of 3.45-3.62 GHz. In addition, the measured envelope correlation coefficient exhibits a value below 0.01, indicating enhanced performance in MIMO applications. © 2023 IEEE.

关键词： Defected ground structures

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CRLB-based Data-driven Covariance Tuning for 5G KF Vehicular Tracking

CRLB-based Data-driven Covariance Tuning for 5G KF Vehicular...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Bader, Qamar Saleh, Sharief Noureldin, Aboelmagd Chalmers University of Technology Department of Electrical Engineering Gothenburg Sweden Queen's University Department of Electrical and Computer Engineering KingstonON Canada Research Lab Gothenburg Sweden Royal Military College of Canada Department of Electrical and Computer Engineering KingstonON Canada

ISBN: (纸本)9798350351255

5G mmWave offers a high-precision positioning solution, functioning effectively in both line-of-sight (LoS) and operable non-line-of-sight (NLoS) conditions. However, in scenarios with complete signal blockage, integrating with motion-based models becomes crucial. This integration is achieved through Bayesian-based estimators, which entail a prediction and a correction stage weighted by their respective covariance matrices. Although covariance matrices of different prediction models have been extensively studied in the literature, the measurement covariance matrix derived from 5G-based position computations remains largely unexplored. In this paper, we propose a measurement covariance matrix tuning scheme based on a data-driven Cramér-Rao lower bound CRLB model. We validate the proposed algorithm within a simple linear Kalman filter (LKF) positioning framework. The methodology was tested in a controlled simulation scenario using a real 24-minute-long vehicular trajectory in a deep-urban environment. The results demonstrate that the developed data-driven model is reliable, maintaining a standard deviation error of less than 7 cm for 95% of the time and less than 0.5 m for 100% of the time relative to the true computed CRLB. The proposed adaptive KF sustains a position error below 30 cm for 99.3% of the time. © 2024 IEEE.

关键词： Kalman filters

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A UWB Antenna for Wireless Body Area Network and its Characteristics Analysis 3

A UWB Antenna for Wireless Body Area Network and its Charact...

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3rd International Conference on Advancement in electrical and Electronic engineering, ICAEEE 2024

作者： Rahman, H M Arifur Shovon, Md. Nakib Alam Hoque, Md. Ariful Khan, Mohammad Monirujjaman Yeboah-Akowuah, Bright North South University Department of Electrical and Computer Engineering Dhaka Bangladesh Kwame Nkrumah University of Science and Technology Department of Computer Engineering Kumasi Ghana

ISBN: (纸本)9798350388282

A newly designed small, almost square shaped Ultra Wideband antenna is presented in this paper. Free space simulations provided promising results with a wider bandwidth and high efficiency up to 97.68% within the UWB range. The antenna was intended for Wireless Body Area Network (WBAN) application. To verify its human on-body performance, a 3D human torso phantom was created and re-simulated the results by placing the antenna in its near field. To determine the effects of the presence of the human body, further distance-based studies were done by placing the antenna in five different distances from the torso phantom. The results were compared with each other and with free space simulations to determine how the distance influences its behaviors. Highest gain was recorded while the antenna was placed on 4mm and above with maximum value of 8.13dB. The results were summarized in terms of antenna parameters such as return loss, voltage standing wave ratio, farfield and 2D radiation patterns, efficiency, and gains. The antenna shows operability in wide frequency range within the UWB spectrum with optimistic gain values. © 2024 IEEE.

关键词： Microstrip antennas

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A ViT-based Method of Stitching Defect Detection for Packaging Bags by Integrating Image Correction and Transfer Learning Solutions

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Data Intelligence 2024年第4期6卷 1086-1113页

作者： Qixuan Wang Chunling Dong Junting Liu Ju Gao School of Computer and Cyber Sciences Communication University of ChinaBeijingChina School of Mechanical and Electrical Engineering Henan University of TechnologyZhengzhouHenanChina

In the automated packaging production line of industrial systems, various stitching defects of packaging bags are inevitable hence the automated detection technology for stitching defects based on digital image processing plays a crucial role in improving the quality and reliability of the packaging production line. This paper proposes a novel stitching defect detection method based on Vision Transformers. image preprocessing procedures such as image correction and cropping recognition are performed to construct the raw stitching defect dataset. The pre-trained ViT_Base_Patch16_224_In21k and MobileViT-XXS networks are proposed by transfer learning methods to improve the recognition of stitching defects. Six sets of experiments are performed on image data taken on a packaging production line, and on the test set, the defect detection models' accuracy rates achieve 0.95 and 0.989, respectively. The experimental results reveal that the proposed method can be effectively applied for online automatic detection of stitching defects in packaging production lines and has industrial application significance.

关键词： Woven bags Stitching defects Vision Transformer Deep learning

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An Adaptive Penalty Factor Approach for Cost-Emission Oriented Economic Dispatch Problem using Wild Horse Optimizer 8

An Adaptive Penalty Factor Approach for Cost-Emission Orient...

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8th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2024

作者： Aljundi, Abdulghani Abu-Hamad, Jumana Kanan, Awos Princess Sumaya Univeristy for Technology Electrical Engineering Department Amman Jordan Princess Sumaya Univeristy for Technology Computer Engineering Department Amman Jordan

ISBN: (纸本)9798331540104

This paper investigates the effect of an adaptive Penalty Factor (PF) approach in compromising the weights for the combined economic emission dispatch problem. The proposed method aims to enhance the existing penalty factor approaches by making it a function of the load demand. Wild Horse Optimizer (WHO) is used to solve the Combined Economic Emission Dispatch (CEED) problem. To evaluate the effectiveness of the proposed approach, it is exploited in two system case studies, a 6-generation unit system and a 10-generation unit system. The proposed approach for the price penalty factor is also compared to the 'Max-Max' approach commonly used in solving CEED problems by taking the fuel cost ratio to the emission value at the maximum power for each generator. Experimental results prove the capability of the adaptive PF approach in solving the CEED problem;it also shows the effectiveness of the proposed approach in providing a compromised solution for any system regardless of the load when compared to default PF approaches. © 2024 IEEE.

关键词： Costs

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Evaluation of Shallow Convolutional Neural Network in Open-World Chart Image Classification

Informatica (Slovenia)

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Informatica (Slovenia) 2024年第6期48卷 185-198页

作者： Bajić, Filip Habijan, Marija Nenadić, Krešimir University Computing Centre University of Zagreb Zagreb10000 Croatia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek31000 Croatia

Data’s role is pivotal in the era of internet technologies, but unstructured data poses comprehension challenges. Data visualizations like charts have emerged as crucial tools for condensing complex information. Classifying charts and applying various processing techniques are vital to interpreting visual data. Traditional chart image classification methods rely on predefined rules and have limited accuracy. The advent of support vector machines (SVMs) and convolutional neural networks (CNNs) significantly improved the accuracy of these methods. This research evaluates our previously introduced Shallow convolutional neural network (SCNN) architecture for chart image classification, comprising four convolutional layers, two max-pooling layers, and one fully-connected layer. The network achieves state-of-the-art results, requiring smaller datasets and reduced computational resources. When two networks are combined into Siamese SCNN (SSCNN), emphasizing generalization, it achieves high accuracy with small datasets and excels in open-set classification. The evaluation process encompasses the utilization of six publicly available datasets. © 2024 Slovene Society Informatika. All rights reserved.

关键词： Data visualization

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Novel add-drop filter based on serial and parallel photonic crystal ring resonators (PCRR)

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Journal of Optical Communications 2024年第2期45卷 235-247页

作者： Fakhruldeen, Hassan Falah Al-Asady, Heba Abdul-Jaleel Mahinroosta, Tayebeh Sohrabi, Foozieh Hamidi, Seyedeh Mehri Computer Techniques Engineering Department Faculty of Information Technology Imam Ja’afar Al-sadiq University Baghdad Iraq Electrical Engineering Department College of Engineering University of Kufa Kufa Iraq Computer Technical Engineering Department College of Technical Engineering The Islamic University Najaf Iraq Magneto-Plasmonic Lab Laser and Plasma Research Institute Shahid Beheshti University Tehran*** Iran

Photonic crystal ring resonators (PCRR) as momentous candidates for future photonic crystal integrated circuits (PCICs) draw worldwide attention. In this paper, different configurations are proposed based on single, parallel, and serial PCRRs. To be precise, the different coupling lengths and alignments have been discussed in double and triple PCRRs in parallel and serial configurations to achieve the highest efficiency concerning the desired applications such as an add-drop filter (ADF) and a power splitter. Moreover, in the achieved optimum double and triple PCRRs, the effect of coupling radius change has been discussed. © 2024 Walter de Gruyter GmbH. All rights reserved.

关键词： Photonic crystals

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Kinmen Wind Lion Face Generation Based on the Deep Convolutional Generative Adversarial Network 13

Kinmen Wind Lion Face Generation Based on the Deep Convoluti...

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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Wu, Chia-Huan Zhao, Yu-Xiang Chou, Cheng-Hou Hsieh, Yi-Zeng National Taiwan University of Science and Technology Department of Electrical and Computer Engineering Taiwan National Quemoy University Department of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350355079

Under the advancements of science and technology at present, artificial intelligence has become widely applied in daily life. Hence, deep learning has attracted much attention in recent years and has been widely used in recognition, classification and generation. The results generated by generative adversarial networks have become increasingly realistic and are now being applied to human face generation and reconstruction. Among the various technologies, the deep convolutional generative adversarial network (DCGAN) is more widely used. Based on the trained DCGAN of human and cat faces, this paper collected Kinmen wind lion data by YOLOv3 and crawler technology and transferred the data to the DCGAN of wind lions through network-based transfer learning to generate complete wind lion faces. The experimental process consisted of four parts. The wind lion dataset was directly used to train the DCGAN in the first two parts, and the DCGAN of the human and cat faces was used for transfer learning in the second two parts. According to the results, the training effect of human face-based transfer learning was the best and was the closest to Kinmen's wind lions. © 2024 IEEE.

关键词： Generative adversarial networks

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DOA Estimation of Acoustic Signals Using Stacked Products of Cross-Correlations and Coherence Factor 31

DOA Estimation of Acoustic Signals Using Stacked Products of...

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31st International Conference on electrical engineering, ICEE 2023

作者： Amiri, Mojtaba Akhavan, Amir Tavakol, Ahmad Rouhani, Ehsan School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Isfahan University of Technology Department of Electrical and Computer Engineering Isfahan84156-83111 Iran

ISBN: (纸本)9798350312560

Direction of arrival (DOA) estimation of acoustic signals has been studied extensively by many researchers. Improving the performance of the DOA estimation methods is a hot topic in array signal processing. In this study, an application of the coherence factor, which is widely applied in medical ultrasound imaging, is extended to DOA estimation of wideband acoustic signals. The advantage of applying different coherence factors in tracking acoustic sources is illustrated by a cross correlation-based DOA estimation. In order to evaluate the performance of the proposed method both simulated data and narrowband and wideband recorded signals are utilized. Simulation results reveal that combining the coherence factors with the cross-correlation DOA estimator lead to resolution improvement for both narrowband and wideband acoustic sources. © 2023 IEEE.

关键词： Direction of arrival

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Robust Adaptive HCS MPPT Algorithm-Based Wind Generation System Using Power Prediction Mode 8

Robust Adaptive HCS MPPT Algorithm-Based Wind Generation Sys...

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8th IEEE International Energy Conference, ENERGYCON 2024

作者： Badawi, Ahmed Elzein, I.M. Ali, Hassan Ismail, Nasser Zyoud, Alhareth Soliman, Mostafa College of Engineering Technology University of Doha for Science and Technology Doha Qatar Department of Electrical and Computer Engineering Birzeit University Birzeit Ramallah Palestine

ISBN: (纸本)9798350382150

In this research, an innovative approach is presented to enhance the power energy production of the wind turbines (WTs). Robust adaptive hill climbing search (HCS) algorithm based on variable step size is integrated with power prediction mode (PPM) technique. The objective is to achieve the maximum power point of the wind energy conversion system (WECS), thereby capturing the highest possible power from the wind source. Conventional methods of maximum power point tracking (MPPT) are unable to precisely track and reach the optimal point under unpredicted wind speeds. To address this issue, adaptive HCS is utilized due to its ability to overcome certain well-perceived challenges such as detection delays and the number of iterations in detecting the optimal peak point. More specifically, the PPM technique is combined with the adaptive HCS algorithm. The proposed Adaptive HCS-PPM technique is shown to demonstrate higher efficiency and faster trenching capability in reaching the optimal point, resulting in reduced power fluctuations, and improved overall performance of WECS as well as overcoming the oscillations around the optimal point. ©2024 IEEE.

关键词： Wind turbines

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