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International Conference on electrical engineering, computer and Information Technology (ICEECIT)

作者： Muhammad Irhamsyah Melinda Melinda Yunidar Yunidar Syahrial Syahrial Department of Electrical and Computer Engineering Faculty of Engineering University of Syiah Kuala Banda Aceh Indonesia

ISBN: (纸本)9781665464277

The study represents an analysis of several parameters of fluctuating signal quality, which has not been previously carried out. H2O and H2O materials mixed with NaOH have undergone the data acquisition process with a capacitive sensor and produced a high fluctuation signal. Next, the data grouping method for each material is created to obtain the standard deviation value. In addition, several signal quality parameters in the analysis process are calculated, such as power and signal-to-noise ratio (SNR). In the next stage, the results of the two materials based on their data grouping of three groups are compared: per 20, per 50, and 100 data groups. After that, the preprocessing stage calculates each data group's standard deviation value. Furthermore, the signal quality parameters in the signal processing process are gained, namely power and SNR. Here are some fruitful points: the group's highest power and SNR values per 20 data. So, this is because grouping into smaller groups will be better where the values are not that quite different.

关键词： Water electrical engineering Fluctuations Data acquisition Signal processing Capacitive sensors Information technology

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Capacity Bounds for Identification With Effective Secrecy

arXiv

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arXiv 2023年

作者： Rosenberger, Johannes Ibrahim, Abdalla Bash, Boulat A. Deppe, Christian Ferrara, Roberto Pereg, Uzi TUM School of Computation Information and Technology Technical University of Munich Germany Electrical and Computer Engineering Department University of Arizona United States Faculty of Electrical and Computer Engineering Helen Diller Quantum Center Technion Israel Institute of Technology

An upper bound to the identification capacity of discrete memoryless wiretap channels is derived under the requirement of semantic effective secrecy, combining semantic secrecy and stealth constraints. A previously established lower bound is improved by applying it to a prefix channel, formed by concatenating an auxiliary channel and the actual channel. The bounds are tight if the legitimate channel is more capable than the eavesdropper’s channel. An illustrative example is provided for a wiretap channel that is composed of a point-to-point channel, and a parallel, reversely degraded wiretap channel. A comparison with results for message transmission and for identification with only secrecy constraint is provided. Copyright © 2023, The Authors. All rights reserved.

关键词： Semantics

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Towards Multi-Pbps Backbone Optical Networks in Support of Future 6G Networks

Towards Multi-Pbps Backbone Optical Networks in Support of F...

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Conference on Lasers and Electro-Optics (CLEO)

作者： I. Tomkos Ch. Papapavlou D. Uzunidis K. Moschopoulos R. Muñoz D. M. Marom M. Nazarathy Department of Electrical and Computer Engineering University of Patras Patras Greece Centre Tecnologic de Telecomunicacions de Catalunya (CTTC/CERCA) Castelldefels Spain Institute of Applied Physics Hebrew University of Jerusalem Jerusalem Israel Faculty of Electrical and Computer Engineering Technion Israel Institute of Technology Haifa Israel

We describe innovative concepts associated with optical switching nodes and their transceiver interfaces that enable energy-efficient flexible capacity scaling (>10 Tb/s per interface, > 1Pb/s capacity per link ... 详细信息

ISBN: (纸本)9798350369311

关键词： 6G mobile communication Optical switches Optical fiber networks Lasers and electrooptics Throughput Transceivers Energy efficiency Electro-optical waveguides

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Deep learning based DeepFake video detection

Deep learning based DeepFake video detection

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2023 International Conference on Smart Computing and Application, ICSCA 2023

作者： Guefrachi, Sarra Ben Jabra, Marwa Alsharabi, Naif A. Ben Othman, Mohamed Tahar Alharabi, Yasser O. Alkholidi, Abdulsalam Hammam, Habib Université de Moncton Faculty of Engineering MonctonNBE1A3E9 Canada Spectrum of Knowledge Production & Skills Development Sfax3027 Tunisia Computer Engineering University of Ha'il Computer Science Amran University Yemen Ha'il55476 Saudi Arabia College of Computer Qassim University Department of Computer Science Buraydah51452 Saudi Arabia College of Computer Sc. & Engneering Ha'il University Computer Science and Information Ha'il Saudi Arabia Canadian Institute of Technology College Department of Software Engineering Tirana Albania International Institute of Technology and Management Commune d'Akanda BP Libreville1989 Gabon School of Electrical Engineering University of Johannes-burg Dept of Electrical and Electronic Eng. Science Tirana Albania

ISBN: (纸本)9798350347050

Recent advances in DeepFake face-swapping technology have made it simple to create fake videos that appear remarkably real. Since it has been employed in numerous instances for deceit, extortion, and the falsification of facts, its widespread use has generated a huge social, security, and political risk. Its use on websites and social media has become more widespread. Detecting this crime is becoming more and more important due to the potential harm false videos may inflict on a global scale. This research offers a method for building a deep learning model that really can tell the difference between authentic and false videos. The article describes how to create new models based on the VGG16 neural network, a previously created neural network that does image categorization, using transfer learning in the computer vision field. Deep learning is still becoming better at both producing and spotting DeepFakes. DeepFake detection algorithms are developed using dated public datasets, and as a result, they may become obsolete with time. and require continual updating. The research findings are encouraging, and our results reached an accuracy rate of over 90%. © 2023 IEEE.

关键词： Crime

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Implementing Augmented Reality (AR) Textbooks in Primary Schools: A Systematic Analysis

Implementing Augmented Reality (AR) Textbooks in Primary Sch...

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2023 International Conference for Technological engineering and its Applications in Sustainable Development, ICTEASD 2023

作者： Ramli, Noraini Binti Bin Hashim, Mohd Ekram Alhafis Wan Mustafa, Wan Azani Md Ghani, Miharaini Almusawi, Muntather Hanafi, Hafizul Fahri Sultan Idris Educational University Faculty of Art Sustainability & Creative Industry Multimedia Creative Departmet Perak Malaysia University Malaysia Perlis Faculty of Electrical Engineering & Technology Perlis Malaysia University Sains Malaysia School of Communication Pulau Pinang Malaysia The Islamic University Faculty of Engineering Najaf Iraq Sultan Idris Educational University Faculty of Computing and Meta-Technology Department of Computer Science and Digital Technology Perak Malaysia

ISBN: (纸本)9798350336474

This evaluation examined 28 major papers to see if textbooks and augmented reality may be used as instructional technologies. This study, "Implementing Augmented Reality (AR) Textbooks in Elementary Schools: A Systematic Analysis,"examined current status of AR integration, perceived benefits, and impact on the learning environment. The "What is the current status of augmented reality (AR) integration in elementary schools?"review seeks to answer. Some schools have adopted AR textbooks, while others are just starting. Theme AR Integration Studies Today Some schools have adopted AR textbooks, while others are just starting. AR textbooks adapt to varied learning methods and match each student's needs to promote dynamic and engaging learning. Second, perceived benefits emphasise how they boost student motivation, understanding of complex concepts, and passion for learning. The study reveals how augmented reality (AR) textbooks can simplify and deepen learning on hard topics. Impact on the Learning Environment examines how AR textbooks improve classroom engagement, interactivity, and dynamicness. Augmented reality creates immersive and dynamic learning environments, making textbooks more valuable. Synthesising findings illuminates the contributions of various components of augmented reality (AR) textbooks and future research and implementation approaches. This The synthesis of findings shows how augmented reality (AR) textbooks can improve educational technology through the current status of AR integration, perceived benefits, and impact on the learning environment. This study teaches educators, researchers, and policymakers about the potential of textbook material and augmented reality to improve education by answering research questions. © 2023 IEEE.

关键词： Textbooks

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External-Wrench Estimation for Aerial Robots Exploiting a Learned Model

External-Wrench Estimation for Aerial Robots Exploiting a Le...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Ayham Alharbat Gabriele Ruscelli Roberto Diversi Abeje Mersha Smart Mechatronics and Robotics research group Saxion University of Applied Science Enschede The Netherlands Robotics and Mechatronics research group Faculty of Electrical Engineering Mathematics & Computer Science University of Twente Enschede The Netherlands Department of Electrical Electronic and Information Engineering University of Bologna Bologna Italy

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

This paper presents an external wrench estimator that uses a hybrid dynamics model consisting of a firstprinciples model and a neural network. This framework addresses one of the limitations of the state-of-the-art modelbased wrench observers: the wrench estimation of these observers comprises the external wrench (e.g. collision, physical interaction, wind); in addition to residual wrench (e.g. model parameters uncertainty or unmodeled dynamics). This is a problem if these wrench estimations are to be used as wrench feedback to a force controller, for example. In the proposed framework, a neural network is combined with a first-principles model to estimate the residual dynamics arising from unmodeled dynamics and parameters uncertainties, then, the hybrid trained model is used to estimate the external wrench, leading to a wrench estimation that has smaller contributions from the residual dynamics, and affected more by the external wrench. This method is validated with numerical simulations of an aerial robot in different flying scenarios and different types of residual dynamics, and the statistical analysis of the results shows that the wrench estimation error has improved significantly compared to a model-based wrench observer using only a firstprinciples model.

关键词： Uncertain systems Analytical models Statistical analysis Atmospheric modeling Dynamics Neural networks Observers Autonomous aerial vehicles Numerical simulation Numerical models

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Maximum Power Point Tracking Using Cross-Correlation Algorithm for Pv System

SSRN

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SSRN 2022年

作者： Abulanwar, Sayed Shahin, Ahmed Gad, Hesham H. Rizk, Mohammad E.M. Hu, Weihao Electrical Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt Computer and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Faculty of Engineering Horus University Egypt

This paper suggests an online, rapid, dynamic, and pragmatic cross-correlation (CC) technique to eﬀectively realize maximum power point tracking (MPPT) of the photovoltaic (PV) array. The PV voltage and current are extracted, averaged, and rate of change of the power and terminal voltage dynamics are integrally cross-correlated to regulate the duty ratio of the converter. According to this approach, the maximum power point (MPP) is defned in terms of the polarity of the CC coefcient (rcc). If the CC coefcient is positive, the operating point is at left of the MPP, while a negative CC coefcient indicates that the operating point is located at right of the MPP, otherwise the MPP is attained zero CC coefcient with lower steady-state ﬂuctuations. In this regard, a tracking optimization can be realized with confned drift either under gradual or step solar irradiance changes. The proposed CC technique quickly converges to the MPP without identifcation of PV array parameters. Besides, the proposed CC tracking algorithm tracks MPP with wide-range small step-size iterations since the search area is restricted to the vicinity of the MPP rather than the entire PV curve. Moreover, the proposed technique is featured by robustness against system parameters and load variations with simple hardware implementation as compared to several existing techniques. The eﬀectiveness of the proposed technique is thoroughly explored via time-domain, experimental, and hardware-in-loop investigations and meanwhile compared to the two most popular techniques: P&O INC methods, for both gradual and step irradiance changes and also shadow eﬀects. © 2022, The Authors. All rights reserved.

关键词： Time domain analysis

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Energy Consumption Analysis of Elliptic Curve Cryptography Middleware Broker for MQTT Application in IoT Systems 24

Energy Consumption Analysis of Elliptic Curve Cryptography M...

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24th International Arab Conference on Information Technology, ACIT 2023

作者： Yusoff, Zainatul Yushaniza Mohamed Ishak, Mohamad Khairi Rahim, Lukman Ab Ammar, Khalid Yusof, Shafiz Affendi Mohd School of Electrical and Electronic Engineering Universiti Sains Malaysia Penang Nibong Tebal Malaysia Department of Computer Engineering Ajman University United Arab Emirates Universiti Sains Malaysia Penang Nibong Tebal Malaysia Faculty of Science and It Universiti Teknologi Petronas Seri Iskandar Perak Malaysia Ajman University United Arab Emirates

ISBN: (纸本)9798350384307

The Internet of Things(IoT)has become an expansion of connected smart devices from small sensors to complex fog and cloud nodes and various network technologies and communication protocols. Devices, including Intelligent Home Health Care, will infiltrate our lives in various application areas. The Internet of Things provides what is in the physical world the ability to interact with the Internet. However, due to their vulnerability, these connected devices offer new security challenges that can be overcome by performing strong validation and access control patterns. In this article, we propose to monitor and allow the use of middleware broker platforms, work, and resources effectively and use ECC for asymmetric monitoring. The security analysis demonstrates a robust resistance to common attacks, bolstered by the fact that each device operates within the energy constraints of just 4mJ, as stipulated by the original protocol. © 2023 IEEE.

关键词： Authentication Confidentiality ECC Integrity Internet of Things Lightweight cryptography MQTT Security

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Teaching in student-centred active learning spaces: How relational, pedagogical, spatial, and technological aspects intertwine and affect the learning environment 51

Teaching in student-centred active learning spaces: How rela...

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51st Annual Conference of the European Society for engineering Education, SEFI 2023

作者： Korpås, G.S. Andersen, T.H. Kahrs, M.S. Hansen, G. Røren, K.A.F. Department of Physics Norwegian University of Science and Technology Trondheim Norway Department of Computer Science Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology Trondheim Norway Section for Teaching and Learning Support Education Quality Division Norwegian University of Science and Technology Trondheim Norway

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Automatic Root Length Estimation from Images Acquired In Situ without Segmentation

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Plant Phenomics 2024年第1期6卷 79-93页

作者： Faina Khoroshevsky Kaining Zhou Sharon Chemweno Yael Edan Aharon Bar-Hillel Ofer Hadar Boris Rewald Pavel Baykalov Jhonathan EEphrath Naftali Lazarovitch Department of Industrial Engineering and Management Ben-Gurion University of the NegevBeer ShevaIsrael The Jacob Blaustein Center for Scientific Cooperation The Jacob Blaustein Institutes for Desert ResearchBen-Gurion University of the NegevSede BoqerIsrael The Albert Katz International School for Desert Studies The Jacob Blaustein Institutes for Desert ResearchBen-Gurion University of the NegevSede BoqerIsrael Department of Communication Systems Engineering School of Electrical and Computer EngineeringBen-Gurion University of the NegevBeer ShevaIsrael Institute of Forest Ecology Department of Forest and Soil SciencesUniversity of Natural Resources and Life SciencesVienna(BOKU)ViennaAustria Faculty of Forestry and Wood Technology Mendel University in BrnoBrnoCzech Republic Vienna Scientific Instruments GmbH AllandAustria French Associates Institute for Agriculture and Biotechnology of Drylands The Jacob Blaustein Institutes for Desert ResearchBen-Gurion University of the NegevSede BoqerIsrael

Image-based root phenotyping technologies,including the minirhizotron(MR),have expanded our understanding of the in situ root responses to changing environmental *** conventional manual methods used to analyze MR images are time-consuming,limiting their *** study presents an adaptation of our previously developed convolutional neural network-based models to estimate the total(cumulative)root length(TRL)per MR image without requiring *** data were derived from manual annotations in Rootfly,commonly used software for MR image *** compared TRL estimation with 2 models,a regression-based model and a detection-based model that detects the annotated points along the ***,the detection-based model can assist in examining human annotations by providing a visual inspection of roots in MR *** models were trained and tested with 4,015 images acquired using 2 MR system types(manual and automated)and from 4 crop species(corn,pepper,melon,and tomato)grown under various abiotic *** datasets are made publicly available as part of this *** coefficients of determination(R2),between the measurements made using Rootfly and the suggested TRL estimation models were 0.929 to 0.986 for the main datasets,demonstrating that this tool is accurate and *** analyses were conducted to examine the effects of(a)the data acquisition system and thus the image quality on the models'performance,(b)automated differentiation between images with and without roots,and(c)the use of the transfer learning *** approaches can support precision agriculture by providing real-time root growth information.

关键词： Image Root image

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