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electrical, computer, Communications and Mechatronics engineering (ICECCME), International Conference on

作者： Damian Kusnik Bogdan Smolka Milena Smolka Faculty of Automatics Electronics and Informatics Silesian University of Technology Gliwice Poland Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Krakow Poland

In this paper, a novel approach to the problem of mixed Gaussian and impulsive noise reduction in color images is proposed. The elaborated denoising framework is based on the Non-Local Means technique, which has been shown to effectively suppress Gaussian noise. To overcome the inability of this filter to deal with impulsive distortions, a robust similarity measure between image patches, that is insensitive to the impact of impulsive distortions, was developed. First, the distorted pixels of the image are detected using the concept of a peer group. If the number of neighbors of a pixel at the center of a filtering window, whose Euclidean distance in the RGB color space does not exceed a threshold value, is smaller than a predefined value, then the considered pixel is treated as corrupted. Afterwards, the similarity between image patches are calculated in a standard way omitting the noisy pixels. In this way, only the average of distances between pairs of unaffected pixels are calculated. Thus, the closeness measure of the patches, which serves as the coefficient in weighted averaging of pixels in the processing block, is not affected by impulsive noise and is still able to cope with the Gaussian noise component. The proposed filtering design is capable of reducing even strong mixed noise while preserving image details and edges. Moreover, it is not computationally intensive, so it can be used in real-time image processing scenarios.

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Adaptive Technique of Impulsive Noise Removal in Color Digital Images

Adaptive Technique of Impulsive Noise Removal in Color Digit...

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International Conf on electrical and Electronic engineering (ICEEE)

作者： Bogdan Smolka Monika Mendrela Damian Kusnik Milena Smolka Faculty of Automatics Electronics and Informatics Silesian University of Technology Gliwice Poland Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Krakow Poland

This paper describes a new technique for removing impulsive noise in digital color images. The proposed method uses a measure of the pixel distortion caused by the impulsive noise, expressed as the sum of the Euclidean distances between the central pixel and its closest neighbors in the filtering window. This corruption measure is used to determine a weighted average of the pixels from the local neighborhood that is not affected by the distorted pixels. The filtering output is obtained using a soft switching scheme, where the denoising result is determined as a weighted average of the central pixel of a processing window and its robust estimate. The weighting coefficient is calculated based on the amount of distortion of the central pixel. Thus, if the central pixel is highly distorted, it is replaced by its robust estimate, otherwise it is not significantly changed. The parameters that determine the image enhancement result are adaptively adjusted by using a noise-resistant image contrast measure. The proposed filter design is able to effectively suppress impulsive noise while preserving fine image details and edges. Comparison with existing algorithms shows that the proposed method provides better denoising results than the most efficient filters designed for impulsive noise suppression in color images. Moreover, the new method is very fast and can be used in real-time denoising scenarios.

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Nanowatt Integrated Circuits and Systems

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IEEE NANOTECHNOLOGY MAGAZINE 2022年第3期16卷 2-3页

作者： Sheu, Bing Kao, Shao-Ku Electronics Laboratory Department of Electrical and Computer Engineering Democritus University of Thrace Greece Computer Engineering Laboratory Electrical Engineering Mathematics and Computer Science Faculty Delft University of Technology Delft The Netherlands

It is our pleasure to introduce Prof. Georgios Ch. Sirakoulis and Prof. Sorin Cotofana as the Guest Editors of this Special Issue of IEEE Nanotechnology Magazine.

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Comparative Study of Encoding Formats for Digitized Ancient Arabic Manuscripts

Comparative Study of Encoding Formats for Digitized Ancient ...

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Information Technology (ACIT)

作者： Fazia Brinis Mohammed Ourabah Soualah Farida Bouarab Computer science department Faculty of Electrical and Computer Engineering(FGEI) LARI Laboratory UMMTO University Tizi-Ouzou Algeria

Digital technology in libraries has made necessary the description and organization of digitized resources to facilitate their access and exchange. These resources, such as digitized ancient Arabic manuscripts, are accessible through a set of metadata describing them. These metadata are encoded using standards (formats) such as EAD (Encoded Archival Description), TEI (Text Encoding Initiative), MARC (Machine Readable Cataloguing), etc. This work consists of defining the different manuscript encoding formats and carrying out a comparative and critical study of these standards to see which is the most suitable for describing Arabic manuscripts, or whether we should use a novel format or an extended format.

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A Novel Circularly Polarized Filtering Reflectarray by Manipulating the Multimode Reflective Phase of Orthogonal Polarizations

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IEEE Transactions on Antennas and Propagation 2025年

作者： Fang, Chang Zhang, Xiao Li, Yin Zhu, Lei Wong, Sai-Wai Quan, Zhi China Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China Peng Cheng Laboratory Shenzhen518038 China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering Macau China

This paper presents a novel design methodology for circularly polarized (CP) filtering reflectarray (RA). Unlike conventional filtering techniques based on magnitude response, the proposed filtering RA solely manipulates the phase responses of the reflected wave under the total reflection condition. An isosceles triangle patch radiator loaded with slots is employed as the unit cell. Two sets of orthogonal resonant modes of the triangular patch are exploited to produce a phase difference between the u- and v-polarized components. By adopting slot loading, first- and third-order resonant states are induced in the two orthogonal directions. Next, the phase difference is fully controlled by adjusting the slope of the reflection phase. In the passband, the phase difference is maintained at 180°, while outside the band, it rapidly rolls down (up) to 0° (360°), enabling steep band edges. Finally, a CP filtering RA using the optimized element is constructed for the first time, which verifies the validity of the proposed method. The fabricated RA exhibits satisfactory performance, including a 3-dB gain bandwidth of 25.7%, 3-dB axial ratio (AR) bandwidth of 29.8%, and the out-of-band suppression levels of 33.5 dB (22.8 dB) in the low (high) frequency band. © 1963-2012 IEEE.

关键词： Circular polarization

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Revolutionizing Neurological Diagnostics: Integrating 6G Technology with Deep Learning for Enhanced Detection of Multiple Sclerosis and Myelitis

Revolutionizing Neurological Diagnostics: Integrating 6G Tec...

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Telecommunications Conference (ITC-Egypt), International

作者： Rana M. NourEldeen Rahma A. Elshshtawy Omnia A. Elgohary Fatma Alzahraa A. Wahba Marco K. Attia Zeinab B. Abo elazm Mohamed G. Khattap Hend Galal Eldeen Mohamed Ali Hassan Mariam Mostafa Nayra Ibrahim Reem Ramadan Yomna Refaat Mennatallah Khaled Ali Maher Mohamed Abd Elaziz Ahmed Gamal Abdellatif Ibrahim Radiology and Medical Imaging Faculty of Applied Health Sciences Galala University Suez Egypt Biomedical Informatics Faculty of Computer Science and Engineering Galala University Suez Egypt Artificial Intelligence Science Program Faculty of Computer Science and Engineering Galala University Suez Egypt Department of Electronics and Electrical Communications Engineering Air Defense College Alexandria Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

This paper proposes an alternative detection frame-work for multiple sclerosis (MS) and idiopathic acute transverse myelitis (ATM) within the 6G-enabled Internet of Medical Things (IoMT) environment. The developed framework relies on the implementation of a deep learning technique known as Dense Convolutional Networks (DenseNets) in the 6G-enabled IoMT to enhance prediction performance. To validate the performance of DenseNets, we compared it with other deep learning techniques, including Convolutional Neural Networks (CNN) and MobileNet, using real-world datasets. The experimental results show the high performance of DenseNets in predicting MS and ATM compared to other methods, achieving an accuracy of nearly 90 %.

关键词： 6G mobile communication Deep learning Multiple sclerosis Accuracy Internet of Medical Things Telecommunications Convolutional neural networks

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Kinematic Optimization and Comparison of Wheelchair-mounted Assistive Robots for Activities of Daily Living 14

Kinematic Optimization and Comparison of Wheelchair-mounted ...

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14th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2023

作者： Munoz Montenegro, Elias Jose Haque Sunny, Md Samiul De Caro, Javier Dario Sanjuan Brahmi, Brahim Ghommam, Jawhar Saad, Maarouf Ahmed, Helal Uddin Rahman, Mohammad H University of Wisconsin-Milwaukee Mechanical Engineering MilwaukeeWI United States University of Wisconsin-Milwaukee Computer Science MilwaukeeWI United States Collège Ahuntsic Electrical Engineering MontrealQC9155 Canada Sultan Qaboos University Al-Khod Electrical and Computer Engineering Muscat Oman École de Technologie Supérieure Department of Electrical Engineering MontréalQCH3C 1K3 Canada University of Wisconsin-Milwaukee Biorobotics Laboratory Mechanical Engineering MilwaukeeWI United States University of Wisconsin-Milwaukee Biomedical and Mechanical Engineering MilwaukeeWI United States

ISBN: (纸本)9798350399967

The number of wheelchair users has increased at an alarming rate throughout the last decade due to the increased number of individuals with upper/lower extremity dysfunctions resulting from a stroke, spinal cord injury, trauma, accident, or workplace injuries. Wheelchair-mounted assistive robots have been playing an important role in assisting the activities of daily living (ADLs) of these individuals. This research focuses on the design optimization of wheelchair-mounted assisted robots for essential ADLs. The genetic algorithm (GA) was used to estimate the link length parameters of 5 degrees of freedom (DoFs), 6DoFs, and 7DoFs wheelchair-mounted robots to cover the seven workspaces commonly used in ADLs. The objective function used in the GA includes singularity avoidance, collision avoidance, and ADL coverage. The results show that the proposed optimized 5DoFs robot can cover 25%, 6 DoFs robot can cover 69%, and 7 DoFs robot can cover 71% of essential ADL workspaces. © 2023 IEEE.

关键词： Wheelchairs

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Quad-Port Dual Circularly Polarized Multi-Mode Patch Antenna with Mutual Coupling Reduction by Using Characteristic Modes Analysis

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IEEE Antennas and Wireless Propagation Letters 2025年

作者： Liu, Neng-Wu Lin, Zi-Jie Liu, Zhong-Xun Zhu, Lei Liu, Ying Xidian University National Key Laboratory of Radar Detection and Sensing Xi'an710071 China University of Macau Department of Electrical and Computer Engineering Faculty of Science and Technology SAR China

In this letter, a novel approach to reduce mutual coupling (MC) of quad-port circularly polarized (CP) microstrip patch antenna (MPA) is proposed using a multi-mode concept. Firstly, the dual-port MPA with decoupling branch under mode1 and mode2 is theoretically studied. It proves that these two modes could be combined together to shift its electric-field null. As such, the decoupling branches are loaded on the radiator of the quad-port MPA so as to combine these dual modes. After that, the quadrature hybrid coupler (QHC) and LC network are successively connected to the feeding probes to widen its impedance matching and generate the dual-CP beams at quad-port. In final, our proposed MPA is fabricated and measured. The results that the |S11| © 2002-2011 IEEE.

关键词： Radiators

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A Machine Learning-Based Model for Energy Efficiency Classification of an Unmanned Aerial Vehicle 1

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International Conference on Artificial Intelligence and Smart Environment, ICAISE 2022

作者： Awotunde, Joseph Bamidele Arowolo, Micheal Olaolu Imoize, Agbotiname Lucky Farhaoui, Yousef Adeniyi, Abidemi Emmanuel Department of Computer Science Faculty of Information and Communication Sciences University of Ilorin Kwara Ilorin240003 Nigeria Department of Computer Sciences Landmark University Omu-Aran Nigeria Department of Electrical and Electronics Engineering Faculty of Engineering University of Lagos Akoka Lagos100213 Nigeria STI Laboratory T-IDMS Faculty of Sciences and Techniques Moulay Ismail University of Meknès Errachidia Morocco Department of Computer Sciences Precious Cornerstone University Ibadan Nigeria

ISBN: (数字)9783031262548

ISBN: (纸本)9783031262531

One of the most promising technologies for next-generation wireless networks is unmanned aerial vehicles (UAVs). They make excellent prospects for a range of applications due to their accessibility and capacity for establishing line-of-sight interactions with users. Because of the enormous amount of data available, artificial intelligence is rapidly developing and succeeding tremendously. As a result, a sizeable segment of the academic community has started integrating intelligence into the core of UAV networks by using machine learning (ML) approaches to address a range of drone-related problems. ML-based framework is designed to provide solutions to the different issues that have been time invariant when UAVs are utilized for communication. UAV-based delivery systems, real-time multimedia streaming, and intelligent transportation systems are all examples of this. The problems with wifi and security are revealed by this study. ML-based solution techniques are created to address these problems, enabling real-time secure operation of UAVs while leveraging wireless system resources in a flexible manner. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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Impact of Finger Type in Contactless Fingerprint Verification

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Procedia computer science 2024年 246卷 3928-3937页

作者： Karama Abdeljabbar Islem Jarraya Tarek M. Hamdani Adel M. Alimi REGIM-Laboratory—REsearch Groups in Intelligent Machines National Engineering School of Sfax (ENIS) Sfax Tunisia Higher Institute of Computer Science Mahdia (ISIMa) University of Monastir Tunisia Department of Electrical and Electronic Engineering Science Faculty of Engineering and the Built Environment University of Johannesburg South Africa

Contactless fingerprint authentication has gained popularity as a field of research in biometrics in recent years. Unlike traditional fingerprint recognition systems that require direct contact of the person’s finger with the sensor, contactless fingerprint systems offer several advantages, among them ease of capture and cost-effectiveness. Despite the progress made in this field, poor contrast, background noise, and limited image information continue to pose difficulties for fingerprint recognition in contactless environments. Furthermore, the number of images in published fingerprint biometric datasets for each person is restricted, and there is insufficient data for efficient training. Nevertheless, Convolutional Neural Network (CNN) architectures have been widely used, necessitating large databases. To address these issues, this paper introduces a Siamese network designed for the purpose of identity Verification, using the contactless thumb fingerprint modality to enhance recognition results. The Siamese network is able to extract pertinent features from noisy images with low contrast and limited information, even if they have limited information and low contrast. Additionally, this work proposes the use of the contactless thumb fingerprint modality instead of the contactless index fingerprint modality, which is more commonly used in related works. Consequently, the Mobile FingerPrint (MFP) dataset is introduced and constructed for evaluation. Experimental results demonstrate the efficiency of the proposed method, achieving an accuracy of 98.68% for thumb fingerprint Verification.

关键词： Contactless Fingerprint Authentication Thumb Fingerprint Deep Learning Siamese Network Biometric Verification

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