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International Conference on Smart Communications and Networking (SmartNets)

作者： Ofaletse Mphale Neo Raffing Sajid M. Sheikh Lavanya Balasubramanian Department of Computer science Faculty of Science University of Botswana Gaborone Botswana Department of Electrical Engineering Faculty of Electrical Engineering University of Botswana Gaborone Botswana Department of Electrical and Electronic Engineering Faculty of Electrical Engineering New Era College Gaborone Botswana

ISBN: (数字)9781665487580

ISBN: (纸本)9781665487597

This study proposes Facebook-Prophet model for understanding and forecasting of corona virus (COVID-19) mortality in Southern African Development Community (SADC) region over a 90-day time period. Findings showed that COVID-19 mortality in SADC region is expected to degrade in the near future. Model performance metrics were used to compute prediction performance. These results implied that the selected model was satisfactory and reliable. Findings of the study are expected to raise situational awareness into better understanding of the pandemic and to provide support for strategic health decisions for better management of COVID-19 disease. Moreover, the study provides a series of recommendations to be followed in order to decline COVID-19 related deaths in SADC countries.

关键词： COVID-19 Measurement Social networking (online) Pandemics Computational modeling Time series analysis Predictive models

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A data-driven decision-making readiness assessment model: The case of a Swedish food manufacturer

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Decision Analytics Journal 2024年 10卷

作者： Elragal, Ahmed Elgendy, Nada Department of Computer Science Electrical and Space Engineering Luleå University of Technology Sweden M3S Faculty of Information Technology and Electrical Engineering University of Oulu Finland

This study proposes a model to assess data-driven decision-making (DDDM) readiness in organizations. We present the results from investigating the DDDM readiness of a Swedish organization in the food industry. We designed and developed a questionnaire to collect data about the organization's decision-making and IT systems. We conducted eleven interviews at the case study organization: ten with various functional decision-makers and one with the IT Manager about IT systems. The interview data were then analyzed against known decision theories and state-of-the-art DDDM. Based on the interview outcomes, we analyze the data according to the assessment model and recommend changes to the organization's readiness for data-driven decisions. The findings show that while the organization was assessed as ready in the decision-making process and decision-maker pillars, it was not ready in the data or analytics pillars. Accordingly, we recommend a set of actions, including considering integration and decision systems, further developing dashboards, increasing data and analytics resources (such as enterprise data warehouse, big data management tools, data lake environment, and data analytics algorithms), and defining key roles necessary for digitalization and DDDM (such as Data Engineer, Data Scientist, Business Intelligence Specialist, Chief Data Officer, and Data Warehouse Designer/Administrator). The contribution of this study is the DDDM readiness assessment model, accompanied by a questionnaire for determining the readiness level in organizations. © 2024 The Author(s)

关键词： Case study Data-driven decision-making Decision theory Information technology Swedish food industry

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Model predictive-based control technique for fault ride-through capability of VSG-based grid-forming converter

Model predictive-based control technique for fault ride-thro...

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European Conference on Power Electronics and Applications

作者： Mobina Pouresmaeil Amir Sepehr Basit Ali Khan Jafar Adabi Edris Pouresmaeil Department of Electrical Engineering and Automation Aalto University Espoo Finland Department of Electrical and Computer Engineering Babol Noshirvani University of Technology Babol Iran

ISBN: (数字)9789075815399

ISBN: (纸本)9781665487009

Increasing integration of renewable energy resources emphasizes the importance of the grid-forming virtual synchronous generator (VSG)-based converters. An important issue in the control structure of these converters is the fault ride-through (FRT) capability under fault operating condition. In this paper a model predictive-based FRT control strategy is proposed to limit the converter current while ensures high power quality during fault situation. The proposed control method provides a fast dynamic response, high power quality, improved performance, and a simpler control structure. The effective performance of the proposed control method, as well as its superior performance in comparison with the conventional PI-based control and a model predictive-based control method, are validated through simulation results in MATLAB/Simulink.

关键词： Renewable energy sources Simulation Power quality Modulation Predictive models Power system stability Mathematical models

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Weather Satellite Tracking with RTL-SDR: NOAA 15 Image Reception and Signal Decoding

Weather Satellite Tracking with RTL-SDR: NOAA 15 Image Recep...

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Cyber Resilience (ICCR), International Conference on

作者： Ahsan Waseem Mohd Azhan Umar Kamil Abhisehek Bhardwaj Abdul Razim Mohammed Abdul Qadeer Taher M. Ghazal Department of Electrical Engineering Aligarh Muslim University Aligarh India Department of Computer Engineering Aligarh Muslim University Aligarh India Department of Electrical and Computer Engineering Stony Brook University New York USA Computer Science Department Centre for Cyber Physical Systems Khalifa University Center for Cyber Security Faculty of Information Science and Technology Universiti Kebangsaan Malaysia (UKM) Bangi Selangor Malaysia

ISBN: (数字)9798350394962

ISBN: (纸本)9798350394979

This study examines the growing number of satellites, this paper explores the importance of satellite tracking and highlights NOAA-15 for information transmission and weather monitoring. It offers a low-cost configuration for receiving circularly polarized signals, using a Software Defined Radio (SDR) at 137.62 MHz and a V-dipole antenna. The directional characteristics of the V-dipole maximize capture efficiency by improving signal reception during particular satellite orbits. The flexible SDR, in particular the RTL SDR USB dongle, is used to detail signal decoding for Automatic Picture Transmission (APT), allowing for effective processing and tracking. High-quality APT photos are produced by this hardware-software integration, highlighting NOAA's crucial role in international weather forecasting. The study also emphasizes how simple and inexpensive it is to use the V-dipole antenna to receive NOAA weather satellite signals.

关键词： Earth Satellite broadcasting Education Receiving antennas Weather forecasting Universal Serial Bus Decoding

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Sparse NOMA: An Achievable Region via Random Coordinate Transformations

Sparse NOMA: An Achievable Region via Random Coordinate Tran...

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IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Benjamin M. Zaidel Chen Eger Shlomo Shamai Shitz Faculty of Engineering Bar-Ilan University Ramat-Gan Israel Department of Electrical and Computer Engineering Technion–Israel Institute of Technology Haifa Israel

In the quest for efficient multiple access schemes for future wireless systems, sparse code-domain non-orthogonal multiple access (NOMA) has gained considerable interest, potentially achieving significant performance enhancement in overloaded settings at feasible complexity. This paper revisits an uplink model with two classes of users distinguished by their received powers, each employing regular sparse code-domain NOMA (where a fixed and finite number of orthogonal resources is occupied by each user and vice versa). Introducing random coordinate transformations, the achievable ergodic class throughput region is analytically specified in the large system limit, and shown to strictly contain the achievable region with randomly spread dense code-domain NOMA, while closing the gap to the Cover-Wyner capacity region. Furthermore, harnessing tools from free probability theory, an exact closed form expression is derived for the total achievable sum-rate, which has been so far characterized in analogous settings by means of lower and upper bounds. The analysis significantly broadens the information theoretic perspective on code-domain NOMA applications, and establishes key tools for generalizing the results to more complex models for future systems.

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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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Optical Tomography of Clouds and Atmospheric Turbulence from Space and Ground-based Cameras

Optical Tomography of Clouds and Atmospheric Turbulence from...

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3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress

作者： Schechner, Yoav Y. Shaul, Nir Holodovsky, Vadim Aides, Amit Schilling, Klaus Koren, Ilan Viterbi Faculty of Electrical & Computer Engineering Technion - Israel Inst. of Technology Haifa32000 Israel Zentrum für Telematik Magdalene-Schoch-Str. 5 Würzburg97074 Germany Department of Earth & Planetary Sciences Weizmann Institute of Science Rehovot7610001 Israel

Novel tomographic principles yield 3D atmospheric fields using multi-view imagery. Turbulence strength is mapped by observing scintillation of bulbs. Extinction in clouds is mapped volumetrically from polarimetric cam... 详细信息

关键词： Optical tomography

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Comparison of Tensorflow and PyTorch in Convolutional Neural Network - Based Applications 13

Comparison of Tensorflow and PyTorch in Convolutional Neural...

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13th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2021

作者： Chirodea, Mihai Cristian Novac, Ovidiu Constantin Novac, Cornelia Mihaela Bizon, Nicu Oproescu, Mihai Gordan, Cornelia Emilia University of Oradea Oradea Management in Information Technology Electrical Engineering and Information Technology Faculty Romania University of Oradea Oradea Electrical Engineering and Information Technology Faculty Department of Computers and Information Technology Romania University of Oradea Oradea Electrical Engineering and Information Technology Faculty Department of Electrical Engineering Romania University of Pitesti Faculty of Electronics Telecommunication and Computer Science Pitesti Romania University of Oradea Oradea Electrical Engineering and Information Technology Faculty Department of of Electronics and Telecommunications Romania

ISBN: (纸本)9781665425346

In this paper, we present a comparison between the PyTorch and TensorFlow environments, used in defining neural networks. The purpose is to find whether the choice of a library affects the overall performance of the system both during training and design. To do so, our approach involves analysis of the processes involved when creating a neural network, as well as taking measurements and monitoring its evolution over the epochs. Advantages and disadvantages are then extracted from the results and are then used to draw conclusions. © 2021 IEEE.

关键词： Convolutional neural networks

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Quasi-Resonant DC-DC Converter Single-Switch for Single-Input Bipolar-Output Applications 48

Quasi-Resonant DC-DC Converter Single-Switch for Single-Inpu...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Martin, Cristian Diaz Duran Aranda, Eladio Litran, Salvador Perez Semiao, Jorge University of Huelva Science and Technology Research Center of Huelva Huelva Spain Universiy of Huelva Department of Electronic Engineering Computer Systems and Automation Huelva Spain University of Huelva Department of Electrical and Thermal Engineering Design and Projects Huelva Spain Universidade Do Algarve Ise Faro Portugal

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

In this paper, a new quasi-resonant DC-DC converter topology is presented, which is the result of combining simpler configurations of single input and single output. The proposed topology is a combination of the Zeta and Buck-Boost resonant configurations, which allows a bipolar output voltage to be generated using a single power switch. In addition, the combination converter can operate in step-up and step-down modes and is a transformerless converter, allowing a reduction in size and an increase of the power density. A complete analysis of the proposed converter has been carried out and subsequently verified through simulation. The results obtained show that this new topology is suitable for multiple applications requiring bipolar voltage and high-power density. © 2022 IEEE.

关键词： Zero voltage switching

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High-Gain Wideband CP S-shaped Slot Antenna with Metasurface Reflector for UHF-RFID Readers

High-Gain Wideband CP S-shaped Slot Antenna with Metasurface...

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2022 International electrical engineering Congress, iEECON 2022

作者： Supreeyatitikul, Nathapat Boonpoonga, Akkarat Phongcharoenpanich, Chuwong King Mongkut's Institute of Technology Ladkrabang School of Engineering Bangkok10520 Thailand Faculty of Engineering King Mongkut's University of Technology North Bangkok Research Center of Innovation Digital and Electromagnetic Technology Department of Electrical and Computer Engineering Bangkok10800 Thailand

ISBN: (纸本)9781665402064

This research proposes a high-gain wideband circularly polarized (CP) S-shaped slot antenna with metasurface (MTS) reflector for UHF-RFID handheld readers. The proposed antenna consisted of the S-shaped slot antenna with coplanar waveguide feed on the upper substrate and 4 × 4 periodically-arranged plus-sign-shaped slot MTS unit cells on the lower substrate functioning as a reflector. The MTS reflector was utilized to realize the high-gain of the CP S-shaped slot antenna. To achieve wide impedance bandwidth (IBW) and axial ratio bandwidth (ARBW), the evolution of the antenna was developed in four stages. The simulated IBW and ARBW of the Antenna IV (proposed antenna) at 0.9 GHz (center frequency) were 37.7% (0.66-1 GHz) and 27.7% (0.72-0.97 GHz), respectively. In addition, the maximum gain was 7.56 dBic at 0.78 GHz with left-hand circular polarization (LHCP) radiation characteristics. The dimension of the proposed antenna was 0.35?0 × 0.35?0 × 0.195?0. © 2022 IEEE.

关键词： Coplanar waveguides

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