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2022 International Conference on Machine Learning and Data engineering, ICMLDE 2022

作者： Kadry, Seifedine Crespo, Rubén González Herrera-Viedma, Enrique Krishnamoorthy, Sujatha Rajinikanth, Venkatesan Faculty of Applied Computing and Technology Noroff University College Kristiansand94612 Norway Computer Science Department School of Engineering and Technology Universidad Internacional de la Rioja Andalusia26006 Spain Research Institute in Data Science and Computational Intelligence University of Granada Granada Spain Zhejiang Bioinformatics International Science and Technology Cooperation Center Wenzhou-Kean University Zhejiang Province China Wenzhou Municipal Key Lab of Applied Biomedical and Biopharmaceutical Informatics Wenzhou-Kean University Zhejiang Province China Department of Electronics and Instrumentation Engineering St. Joseph's College of Engineering OMR Tamil Nadu Chennai600119 India

The eye is the prime sensory organ in physiology, and the abnormality in the eye severely influences the vision system. Therefore, eye irregularity is commonly assessed using imaging schemes, and Fundus Retinal Image (FRI) supported eye screening is one of the ophthalmological practices. This work proposed a Deep-Learning Procedure (DLP) to recognize Diabetic Retinopathy (DR) in FI. The proposed work presents the experimental work with different DLP methods found in the literature. This work is executed with two modes;(i) DR detection using conventional deep-features and (ii) DR discovery using deep ensemble features. To demonstrate this work, 1800 fundus images (900 regular and 900 DR class) are considered for the assessment, and the advantage of proposed plan is confirmed using various performance metrics. The experimental outcome of this study confirms that the AlexNet-based detection provides a better detection (>96%), and the deep ensemble features of AlexNet, VGG16, and ResNet18 provide a detection accuracy of >98% on the chosen FRI database. © 2022 Elsevier B.V.. All rights reserved.

关键词： Deep learning

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Benefits and impact of technology-enhanced learning applications in higher education in Middle East and North Africa: A systematic review

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Global Transitions 2025年 7卷 350-374页

作者： Nada Eltaiba Samira Hosseini Kingsley Okoye Social Work Department School of Applied Humanities and Social Sciences German Jordanian University Amman Jordan School of Engineering and Sciences Tecnologico de Monterrey Monterrey CP 64849 Nuevo Leon Mexico Writing Lab Institute for Future of Education Tecnologico de Monterrey Monterrey CP 64849 Nuevo Leon Mexico Department of Computer Science School of Engineering and Sciences Tecnologico de Monterrey Monterrey CP 64849 Nuevo Leon Mexico

Technology-enhanced learning (TEL) uses digital tools and technologies to improve learning experiences by addressing educational challenges such as accessibility, equity, and quality. There is evidence that it comes with issues like digital divide, limited infrastructure, socio-technical and cultural challenges, particularly in low-and-middle income or low-tech regions like Middle East and North Africa (MENA). This study explores the benefits and impact of TEL, and extent to its application in higher education in the MENA region. A systematic review using PRISMA methodology identified and analyzed 85 peer-reviewed studies from 2015 to 2024. Scholarly search for articles was done using Scopus and Web of science (WoS) databases. Data analysis used trend analysis, geographical distribution, and thematic synthesis of TEL benefits, challenges, and implementation in MENA through methods such as Concept mapping and Text mining in VOSviewer, Tableau, and R statistics software. The results emphasize the transformative potential of TEL in MENA, but identifies critical research gaps, such as limited longitudinal studies, underexplored MENA contexts, limited training for educators, which hinders equitable adoption, and need for comprehensive strategies to address systemic barriers. TEL adoption varied across the MENA region, with resource-rich and high-tech countries leading the TEL integration process driven by national policies and strategic investment, while underrepresented nations face significant barriers, which require targeted interventions. The paper empirically sheds light on the theoretical and practical implications of the study toward effective application and adoption of TEL-based learning in MENA, expanding geographic or sectoral coverage, prioritizing of stakeholder perspectives, and exploring advanced TEL technologies to ensure inclusive and sustainable educational practices.

关键词： Technology-enhanced learning Digital technologies Digital divide SDG Higher education Educational innovation Culture MENA

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Security enhancement and attack detection using optimized hybrid deep learning and improved encryption algorithm over Internet of Things

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Measurement: Sensors 2023年 30卷

作者： M, Syed Shahul Hameed Akshaya, V. Mandala, Vishwanadham Anilkumar, Chunduru VishnuRaja, P. Aarthi, R. Department of Information Technology University of Technology and Applied Sciences - SUR Campus PO BOX: 484 SURPC411 Oman Department of AIML Rajalakshmi Engineering College Chennai India Student in Indiana University US.MS in Data science IU Bloomington BloomingtonIN United States Dept of Information Technology GMR Institute of Technology Rajam Andhra Pradesh Vizianagaram India Department of Computer Science and Engineering Kongu Engineering College India Department of Information Technology Kongu Engineering College Perundurai 638 060 India

Exponential increases in smart devices and reduced costs of sensors have increased applications using IoT (Internet of Things). There has been an extensive analysis on the Internet traffic detection and classification in the past decade, however this is still a trending subject with respect to IoT. The objective of this work is to enhance attack detection rates in a timely fashion. The security and accuracy of attack detection rates an IDS (Intrusion Detection System) that uses HCNN (Hybrid Convolutional Neural Networks) for identifying IoT attacks in a city. After completion of pre-processing stages, FS (Feature Selection) using EHOA (Entropy-Hummingbird Optimization Algorithm) is used. Subsequently, classifications that use optimizations are carried out for IoT attack detections and classification results evaluated. KH-AES (Krill Herd-Advanced Encryption Standard) algorithm in data exchanges for security. The NSL-KDD dataset is utilised in this research to implement IDS. The data was classified based on six types of attacks: U2R, DoS, R2L, Probing, normal, and unknown. The weights in HCNN layers have significant impacts on classification outcomes. The proposed scheme is compared with popular approaches in terms of FS, classifications and security of data shares where it was found that proposed approach yields commendable outcomes. © 2023 The Author(s)

关键词： Entropy

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Reversible magnetic domain reorientation induced by magnetic field pulses of fixed direction

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Physical Review B 2023年第6期108卷 064410-064410页

作者： Xichao Zhang Jing Xia Oleg A. Tretiakov Guoping Zhao Yan Zhou Masahito Mochizuki Xiaoxi Liu Motohiko Ezawa Department of Applied Physics Waseda University Okubo Shinjuku-ku Tokyo 169-8555 Japan Department of Electrical and Computer Engineering Shinshu University 4-17-1 Wakasato Nagano 380-8553 Japan School of Physics The University of New South Wales Sydney 2052 Australia College of Physics and Electronic Engineering Sichuan Normal University Chengdu 610068 China School of Science and Engineering The Chinese University of Hong Kong Shenzhen Guangdong 518172 China Department of Applied Physics The University of Tokyo 7-3-1 Hongo Tokyo 113-8656 Japan

Nanoscale magnetic domains with controllable configurations could be used for classical and quantum applications, where the switching of magnetization configurations is an essential operation for information processing. Here, we report that the magnetic domain reorientation in a notched ferromagnetic nanotrack can be realized and effectively controlled by applying uniform magnetic field pulses in a fixed in-plane direction perpendicular to the nanotrack. Our micromagnetic simulation results show that the configurations of magnetic domains in the notched nanotrack can be switched between a head-to-head state and a tail-to-tail state in a reversible manner driven by magnetic field pulses, while it is unnecessary to reverse the direction of the magnetic field. Such a unique magnetic domain reorientation dynamics is found to depend on magnetic parameters and nanotrack geometries. The reorientation dynamics of magnetic domains also depends on the strength and length of the applied magnetic-field pulse. In addition, we point out that the notches at the center of the nanotrack play an important role for the stabilization of the head-to-head and tail-to-tail states during the magnetic domain reorientation. We also qualitatively explain the field-induced reorientation phenomenon with a simplified two-dimensional macrospin model. Our results may make it possible to build spintronic devices driven by a fixed magnetic field. Our findings may also motivate future studies to investigate the classical and quantum applications based on nanoscale magnetic domains.

关键词： Magnetization dynamics Magnetization switching Micromagnetism Spin dynamics Spintronics Micromagnetic modeling

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Chiral Near-Field Response of Achiral Germanium Nanoblock Dimer Metasurfaces

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Guangxue Xuebao/Acta Optica Sinica 2025年第10期45卷

作者： Hu, Li Xi, Feng Dai, Hongxia Department of Applied Physics College of Artificial Intelligence School of Computer Science and Information Engineering Chongqing Technology and Business University Chongqing400067 China

Objective Chirality, a geometric property where an object cannot be superimposed on its mirror image, is fundamental in nature. Traditional circular dichroism (CD) spectroscopy, which measures the differential absorption of left- and right-circularly polarized light, is limited by the inherently weak CD signals of most biomolecules. Recently, researchers have enhanced these signals by designing micro/nanostructures that boost near-field chirality, as the far-field CD response is directly proportional to the near-field optical chirality. Various metamaterials and metasurfaces—such as plasmonic chiral structures, nanoparticle assemblies, and planar chiral designs—have been developed. However, challenges remain in terms of fabrication complexity, the coexistence of opposite near-field chiralities, and significant ohmic losses in metals. In addition, most of the proposed nanostructures operate in the ultraviolet, visible, and near-infrared regions. Some important biomolecules and drugs exhibit chiral signals in the mid-infrared region. To overcome these issues, high-refractive-index, low-loss dielectric materials that support Mie resonances have attracted attention. For example, Ye et al. used Ge nanocube dimers and tetramers to achieve strong near-field chiral enhancement in the mid-infrared range, but these structures are somewhat complex, and the near-field enhancement can be further improved. Considering that graphene exhibits plasmonic resonances in the mid-infrared range and its Fermi level can be dynamically tuned by electro-doping or chemical doping, we propose a simpler Ge nanoblock dimer structure on a graphene film to achieve stronger, larger volume, and single-handed chiral near-field enhancement. Methods An achiral metasurface composed of a Ge nanoblock dimer on a graphene film is proposed to generate a strong chiral near-field response. Simulations are performed using COMSOL software based on the finite element analysis method. The incident linearly polari

关键词： Plasmonic metamaterials

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Ambient- and high-pressure studies of structural, electronic, and magnetic properties of single-crystal EuZn2P2

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Physical Review B 2024年第1期110卷 014421-014421页

作者： Damian Rybicki Kamila Komędera Janusz Przewoźnik Łukasz Gondek Czesław Kapusta Karolina Podgórska Wojciech Tabiś Jan Żukrowski Lan Maria Tran Michał Babij Zbigniew Bukowski Ladislav Havela Volodymyr Buturlim Jiri Prchal Martin Divis Petr Kral Ilja Turek Itzhak Halevy Jiri Kastil Martin Misek Utpal Dutta Dominik Legut Faculty of Physics and Applied Computer Science al. A. Mickiewicza 30 30-059 Kraków Poland Mössbauer Spectroscopy Laboratory Faculty of Mathematics and Physics Department of Condensed Matter Physics Ke Karlovu 3 121 16 Prague 2 Czech Republic Unit of Nuclear Engineering Faculty of Engineering Science Na Slovance 1999/2 182 00 Prague 8 Czech Republic VŠB -

A thorough study of EuZn2P2 single crystals, which were grown from Sn flux, was performed using both bulk (heat capacity, ac susceptibility, dc magnetization, electrical resistivitivity, magnetoresistance) and microscopic (Mössbauer spectroscopy) techniques. Electrical resistance and magnetic susceptibility were measured also under high pressure conditions (up to 19 and 9.5 GPa, respectively). Further insight into electronic properties and phonons is provided by ab initio calculations. The results indicate that EuZn2P2 is an antiferromagnet with strong Eu-Eu exchange coupling of ferromagnetic type within the basal plane and weaker antiferromagnetic interaction along the c axis. The Eu magnetic moments are tilted from the basal plane. Hydrostatic pressure strongly affects both magnetic (increase of the Néel temperature) and electronic (suppression of the band gap and semimetallic behavior) properties, indicating a strong interplay of structure with magnetic and electronic degrees of freedom.

关键词： Antiferromagnetism Density of states Electronic structure of atoms & molecules First-principles calculations Antiferromagnets Rare-earth magnetic materials AC susceptibility measurements Crystal growth DC susceptibility measurements Magnetization measurements Mössbauer spectroscopy Pressure effects Pressure techniques Scanning electron microscopy Tight-binding model X-ray diffraction

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Tensor product-based model transformation approach to tower crane systems modeling

Tensor product-based model transformation approach to tower ...

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作者： Hedrea, Elena-Lorena Precup, Radu-Emil Roman, Raul-Cristian Petriu, Emil M. Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Engineering Edith Cowan University JoondalupWA Australia School of Electrical Engineering and Computer Science University of Ottawa OttawaON Canada

This paper presents the application of the tensor product (TP)-based model transformation approach to produce Tower CRrane (TCR) systems models. The modeling approach starts with a nonlinear model of TCR systems as representative multi-input–multi-output controlled processes. A linear parameter-varying model is next derived, and the modeling steps specific to TP–based model transformation are proceeded to obtain the TP model. The TP model is tested on TCR laboratory equipment in two open-loop scenarios considering chirp signals and pseudorandom binary step signals applied to the three model inputs (control inputs). The nonlinear and TP model outputs in the two scenarios are the payload position, the cart position, and the arm angular position. The nonlinear and TP model outputs are collected, measured, and compared. The simulation results prove that the derived TP model approximately mimics the behavior of the nonlinear model;both system responses and numerical approximation errors are illustrated. © 2021 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd

关键词： Nonlinear systems

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Detecting Worker Attention Lapses in Human-Robot Interaction: An Eye Tracking and Multimodal Sensing Study

Detecting Worker Attention Lapses in Human-Robot Interaction...

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International Conference on Automation and Computing (ICAC)

作者： Zhuangzhuang Dai Jinha Park Aleksandra Kaszowska Chen Li Dept. of Computer Science Engineering and Physical Science School of Engineering and Applied Science Aston University Birmingham United Kingdom SDU Robotics The Maersk Mc Kinney Moller Institute University of Southern Denmark Odense Denmark Department of Electronic Systems Aalborg University Aalborg Denmark The Department of Materials and Production Aalborg University Aalborg Denmark

The advent of industrial robotics and autonomous systems endow human-robot collaboration in a massive scale. However, current industrial robots are restrained in co-working with human in close proximity due to inability of interpreting human agents' attention. Human attention study is non-trivial since it involves multiple aspects of the mind: perception, memory, problem solving, and consciousness. Human attention lapses are particularly problematic and potentially catastrophic in industrial workplace, from assembling electronics to oper-ating machines. Attention is indeed complex and cannot be easily measured with single-modality sensors. Eye state, head pose, posture, and manifold environment stimulus could all play a part in attention lapses. To this end, we propose a pipeline to annotate multimodal dataset of human attention tracking, including eye tracking, fixation detection, third-person surveil-lance camera, and sound. We produce a pilot dataset containing two fully annotated phone assembly sequences in a realistic manufacturing environment. We evaluate existing fatigue and drowsiness prediction methods for attention lapse detection. Experimental results show that human attention lapses in production scenarios are more subtle and imperceptible than well-studied fatigue and drowsiness.

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Solution-Processable Three-Dimensional Metamaterials with Ultrahigh Broadband Absorption for Photothermal Electronic Conversion

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Laser and Photonics Reviews 2023年第8期17卷 2300315-2300315页

作者： Tsao, Shao Hsuan Sun, Aileen Y. Lee, Yang-Chun Hwang, Ching-Wen Lin, Keng-Te Lai, Yu-Sheng Yang, Ling-Chu Chen, Hsuen-Li Wan, Dehui Institute of Biomedical Engineering National Tsing Hua University Hsinchu300044 Taiwan Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei106335 Taiwan Department of Materials Science and Engineering National Taiwan University Taipei10617 Taiwan Taiwan Semiconductor Research Institute National Applied Research Laboratories Hsinchu300091 Taiwan

Metamaterials are promising candidates for broadband light absorbers, but complex manufacturing procedures with expensive instruments have limited their practical applications. Herein, this work develops an all-solution-processed three-dimensional (3D) metamaterial—based on a gold nanocage (GNC)/silk fibroin (SF) nanocomposite thin film—that achieves near-unity (>94%) and broadband (350–2000 nm) light absorption. At a low particle density, the film exhibits a typical signal for localized surface plasmon resonance (LSPR) absorption at 856 nm, originating from its hollow geometrical shape of GNCs. In contrast, at high particle densities the films display ultrahigh broadband absorption, even in the non-LSPR regions. This work attributes this behavior to the highly dense GNCs dispersed uniformly in the SF matrix acting optically as extremely fragmented metallic films, thereby retaining the highly absorptive nature of the metal while strongly suppressing its highly reflective properties. Moreover, the metamaterial absorber displays a desirable broadband-light-induced photothermal effect when illuminated with a halogen lamp. Finally, investigations into the photothermal electronic properties of this metamaterial combined with an Al/Si Schottky diode reveal an excellent photoresponse and photostability. The as-designed systems can function at telecommunication wavelengths longer than the typical operation wavelengths of Si-based devices. Such 3D metamaterial absorbers can be efficient platforms for various photothermal applications. © 2023 Wiley-VCH GmbH.

关键词： Electronic properties

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Channel Treatment for Internet Addiction with Puskesmas Application: Design Approach with Usability Heuristics

Channel Treatment for Internet Addiction with Puskesmas Appl...

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2021 International Conference Advancement in Data science, E-learning and Information Systems, ICADEIS 2021

作者： Lubis, Muharman Handayani, Dini Oktarina Adrian, Qadhli Jafar Gustiarani, Anastassya Madjid, Cheta Kusuma Nurhas, Irawan Telkom University Information System Department Bandung Indonesia Tailor University Innovation Technology Department Selangor Malaysia Universitas Teknokrat Indonesia Computer Engineering and Science Department Bandar Lampung Indonesia Institute of Positive Computing Hochschule Ruhr West University of Applied Science Mülheim Germany

ISBN: (纸本)9781665437097

Developed since 1968, Puskesmas is the most important healthcare facility and is at the forefront of providing basic healthcare services at the community level. Basically, its role is very important and should be one of the keys to Indonesia's success in improving the health and nutritional status of the community. Meanwhile, Internet addiction become potential threat to the community that might be more dangerous compare to drug and sex addiction in term of social consequences. This study offer the integrated solution through usability heuristics design for the purpose of redesigning current apps after the identification of business process in several Puskesmas in the Bandung. It also want to increase the quality of service in order to provide proper communication between health workers and patients. In evaluation phase, the 4 criteria was used to generate sketches in relation to contextual settings. Then, the mockups will be assessed with 12 transaction features to ensure the readiness of its financial management before the application launching. © 2021 IEEE.

关键词： Quality of service

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