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20th International Conference on Aerospace sciences and Aviation Technology, ASAT 2023

作者： Sakr, M. Amein, A.S. Ahmed, F.M. Amer, G.M. Youssef, A. Electrical Engineering Military Technical College Cairo Egypt Faculty of Information and Computer Science October 6 University Giza Egypt Electrical Engineering Faculty of Engineering MUST University Giza Egypt

A Synthetic Aperture Radar (SAR) system is a powerful source of information due to its capability to operate day and night and in all weather conditions. It is essential for military and civilian purposes. Pulse-focusing is employed by the SAR system for achieving both long-range detection and fine-range resolution. The Range-Doppler Algorithm (RDA) is the most popular pulse-focusing technique for creating images from coherent SAR data. Pulse compression techniques for SAR signal processing targets seek to improve map resolution, lower peak power, and increase the Signal-to-Noise Ratio (SNR) of the detected object. This paper demonstrates an enhanced RDA algorithm that uses a modified pulse compression technique based on mismatched filter optimization where Quadratic Constrained Quadratic Program (QCQP) is used. The performance evaluation of the proposed method is performed using visual assessment and the standard image quality metrics peak-side-lobe-ratio (PSLR), impulse-response-width (IRW), and integrated-side-lobe-ratio (ISLR). Simulated and real SAR raw data are used for performance evaluation. The experimental results demonstrate the proposed method's robustness, efficiency, and reliability in providing a higher-quality SAR image than the traditional RDA algorithm. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Synthetic aperture radar

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Optimal Feedback Stabilizing Control of Bounded Jacobian Discrete-Time Systems via Interval Observers

arXiv

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arXiv 2024年

作者： Khajenejad, Mohammad Departments of Mechanical Engineering and Electrical and Computer Engineering University of Tulsa TulsaOK United States

This paper addresses optimal feedback stabilizing control for bounded Jacobian nonlinear discrete-time (DT) systems with nonlinear observations, affected by state and process noise. Instead of directly stabilizing the uncertain system, we propose stabilizing a higher-dimensional interval observer whose states enclose the true system states. Our nonlinear control approach introduces additional flexibility compared to linear methods, compensating for system nonlinearities and allowing potentially tighter closed-loop intervals. We also establish a separation principle, enabling independent design of observer and control gains, and derive tractable linear matrix inequalities, resulting in a stable closed-loop system. © 2024, CC BY-SA.

关键词： Discrete time control systems

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Exploring the Importance of Security in Mobile Health (mHealth) Data Management 1

Exploring the Importance of Security in Mobile Health (mHeal...

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1st International Conference on Healthcare Innovations, Software and engineering Technologies, HISET 2024

作者： Kulkarni, Mukund Kashinath, Amruta Garagate Momin Irshad, Anjuman Sekhar, G Chandra Patil, P.B. Phatak, Pratiksha Institute of Management Kolhapur India Jaywant College of Engineering and Polytechnic Department of Computer Science Engineering Karad India Jaywant College of Management Karad India Institute of Aeronautical Engineering Department of Computer Science and Engineering Hyderabad India Krishna Vishwa Vidyapeeth Deemed to Be University Department of Anaesthesiology Karad India Jaywant College of Engineering and Polytechnic Department of Electrical Engineering Karad India

ISBN: (纸本)9798350360707

Clinical the healthcare and awareness towards it is now most prominent among the living beings in the world. The mobile health and healthcare are now increasing among the populations over the worlds. Thus, the focus of study is to know the importance of mobile healthcare and its data management, storage and security. The utilization of IoT gadgets and mHealth apps is only two examples of how digital medicine is becoming more and more common in daily medical practice. It has the ability to promote improved patient health outcomes, facilitate care coordination, and increase communication with lower costs. The security to healthcare helps to protect the health-related data from the hackers by providing high security to the devices and the applications. Thus, with time hacking will be getting more intense and will provide more damage so it is necessary to improve the security and data management through mHealth. © 2024 IEEE.

关键词： Electronic health record

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Computational Wavefront Shaping with Epi-mode 3D Refractive Index Microscopy

Computational Wavefront Shaping with Epi-mode 3D Refractive ...

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2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

作者： Cai, Mingxuan Zhou, Kevin C. Xue, Yi Waller, Laura Department of Electrical Engineering and Computer Science University of California Berkeley United States Department of Biomedical Engineering University of California Davis United States

We present a wavefront shaping method that computes the optimal wavefront for random-access focusing through scattering in 3D, by using prior knowledge of the reconstructed 3D refractive index (RI), measured in epi-mo... 详细信息

ISBN: (纸本)9781957171289

关键词： Refractive index

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Quantum Generative Adversarial Network for Autonomous Drone Navigation in Urban Wind Zones 6

Quantum Generative Adversarial Network for Autonomous Drone ...

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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Swarnalatha, Anumula Archana, Nalluri Mukkapati, Naveen Selvakumar, Subramanian Tamir, Eneyachew Manikandaprabu, P. Department of Aeronautical and Aerospace Engineering KCG College of Technology Tamil Nadu Chennai600097 India Department of Computer Science and Engineering Vignan's Foundation for Science Technology and Research Andhra Pradesh 522213 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh 522502 India Department of Computer Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Department of Electrical and Computer Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Department of Mechanical Engineering Sona College of Technology Tamil Nadu Salem636005 India

ISBN: (纸本)9798331522667

Major challenges are observed when autonomous drones fly in the complex, changeable environment such as wind zones regarding accurate path planning, avoiding the object, and completing tasks. Lack of flexibility in different situations reduces the reliability of conventional models in real time. To overcome these difficulties the Savitzky-Golay Denoising CSWin Quantum Generative Adversarial Network with Emperor Penguin Optimizer known as SGDCQGANNet-EPO was developed. The RGB data and GPS-estimated wind forces in this model undergo Savitzky-Golay Denoising;this model does not rely on global data, only RGB camera data and GPS data. Recently a CSWin transformer (CSWin-T) makes feature extraction and obstacles detection as well as wind angle, wind speed and wind position identification easier. Quantum Generative Adversarial Networks (QGANet) are then used for optimized path planning, and the model is enhanced by the Emperor Penguin Optimizer (EPO) to fine tune the generator and discriminator loss functions. More accurate compared to current approaches in accuracy and efficiency, the model achieves an accuracy of 99.28%, a low RMSE of 0.38, a recall of 99.25%, and EVA of 0.95. In Confidence using this new technique, the free roaming and self-organizing drone maneuvers in complex environments achieved remarkable results. © 2025 IEEE.

关键词： Generative adversarial networks

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Numerical Simulation and Mathematical Modelling of Machine Learning Based Improved Crypto Currency Forecasting System 3rd

Numerical Simulation and Mathematical Modelling of Machine L...

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3rd International Conference on Communication, Networks and Computing, CNC 2022

作者： Sharma, Ravi Bhushan Sharma, Himani Goyal Iqbal, Md. Asif Department of Computer Science Engineering Chandigarh University Chandigarh India Department of Electrical Engineering Chandigarh University Gharuan Chandigarh India Department of Electrical Engineering Vivekananda Global University Jaipur India

ISBN: (纸本)9783031431449

The crypto currency market is a rapidly growing trading and investment industry that has attracted merchants, investors, and entrepreneurs on a global scale never seen before in this century. By providing comparison studies and insights from the pricing data of crypto currency marketplaces, it will aid in documenting the behavior and habits of such a lucratively demanding and rapidly growing sector. The bitcoin market is at one of its all-time highs in 2021. The introduction of new exchanges has made crypto currencies more accessible to the general public, enhancing their attractiveness. This, together with the launch of several genuine crypto initiatives by some of the founders, has resulted in a surge in crypto currency users and interest. Virtual currencies are growing in popularity, with corporations like Microsoft, Dell, and Tesla all accepting them. As the number of individuals using decentralised digital currencies grows, As new currencies gain popularity, it's more important than ever to properly educate the public about them so that they understand what they possess and how their money is being invested. The algorithm predicts that the high, low, and open prices will all be close to the same value on the same day. The coefficients indicate that the high price has the biggest influence on the closing price. Contrary to popular assumption, "volume" does not add to the data on the closing price provided by the other factors. We also observed that the "marketcap" argument offers no more information. This is odd because market cap is often determined by the price of a product. After removing the two previously mentioned factors, we found no discernible difference in adjusted R2. It's worth mentioning that the model was built using data from the same time period. At the same moment as the closing price, the variables we obtained are made public. We are hopeful that the model will be able to forecast the closing price based on the existing high and low values for

关键词： Machine learning

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2D Structure Pushing Nanocrystalline Common Mode Inductor First Resonant Frequency Above 10 MHz

2D Structure Pushing Nanocrystalline Common Mode Inductor Fi...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Zhang, Rongrong Zhao, Hui Jiang, Chaoqiang Wang, Shuo Long, Teng Liu, Kefu Qiu, Jian Fudan University The School of Information Science and Technology Shanghai China City University of Hong Kong The Department of Electrical Engineering Hong Kong University of Florida The Electrical and Computer Engineering GainesvilleFL United States University of Cambridge The Electrical Engineering Division Department of Engineering Cambridge United Kingdom

ISBN: (纸本)9798350376067

Nanocrystalline materials, known for their excellent magnetic properties, are widely used in the design of inductors and transformers, yet their application has been primarily limited to low-frequency scenarios due to their low resonance frequency. This paper introduces an innovative 2D nanocrystalline inductor design that not only capitalizes on the excellent magnetic characteristics of nanocrystalline materials but also effectively increases the resonance frequency to above 10 MHz, enabling the use of nanocrystalline materials in high-frequency power electronics. This design is not only suitable for mass production but also breakthrough in frequency limitations of nanocrystalline Materials. Experimental and simulation results confirm the superiority of the proposed design in enhancing high-frequency impedance, increasing high-frequency insertion loss, exhibiting improvements in EMI conduction frequency range (150 kHz - 30 MHz). The performance of the filter with the proposed 2D inductor is superior to the performance of EMI filters using other inductors within high frequency range, marking a significant breakthrough in magnetic device design. © 2024 IEEE.

关键词： Natural frequencies

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Neural Architecture Search for Image Dehazing

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第5期4卷 1337-1347页

作者： Mandal, Murari Meedimale, Yashwanth Reddy Satish Kumar Reddy, M. Vipparthi, Santosh Kumar Kalinga Institute of Industrial Technology Deemed to Be University School of Computer Engineering Bhubaneswar751024 India Walmart Global Tech Hyderabad500081 India Texas A&m University Computer Science and Engineering Department College StationTX77843 United States Indian Institute of Technology Ropar Cvpr Laboratory at Department of Electrical Engineering Rupnagar140001 India

Manual design of deep networks require numerous trials and parameter tuning, resulting in inefficient utilization of time, energy, and resources. In this article, we present a neural architecture search (NAS) algorithm - AutoDehaze, to automatically discover effective neural network for single image dehazing. The proposed AutoDehaze algorithm is built on the gradient-based search strategy and hierarchical network-level optimization. We construct a set of search space layouts to reduce memory consumption, avoid the NAS collapse issue, and considerably accelerate the search speed. We propose four search spaces AutoDehaze B, AutoDehaze U1, AutoDehaze U2, and AutoDehaze L, which are inspired by the boat-shaped, U-shaped, and lateral connection-based designs. To the best of authors knowledge, this is a first attempt to present an NAS method for dehazing with a variety of network search strategies. We conduct a comprehensive set of experiments on Reside-Standard (SOTS), Reside-β (SOTS) and Reside-β (HSTS), D-Hazy, and HazeRD datasets. The architectures discovered by the proposed AutoDehaze quantitatively and qualitatively outperform the existing state-of-the-art approaches. The experiments also show that our models have considerably fewer parameters and runs at a faster inference speed in both CPU and GPU devices. © 2020 IEEE.

关键词： Network architecture

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PneuTeleCNN: Deep Learning-assisted Framework for Pneumonia Identification in Web-enabled Telemedicine Systems 10

PneuTeleCNN: Deep Learning-assisted Framework for Pneumonia ...

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10th International Conference on Web Research, ICWR 2024

作者： Mahida, Nikunjkumar Parikh, Keertan Amit Darji, Krisha Gupta, Rajesh Tanwar, Sudeep Shahinzadeh, Hossein Mohammad-Hosseini, Melika Nirma University Institute of Technology Department of Computer Science and Engineering Ahmedabad India Amirkabir University of Technology Tehran Polytechnic Department of Electrical Engineering Tehran Iran Najafabad Branch Islamic Azad University Department of Electrical Engineering Najafabad Iran

ISBN: (纸本)9798350394986

An important development can be observed in the current environment of rapid technological progress in the healthcare industry, which can be demonstrated by the emergence of telemedicine as a key paradigm. Extensive use of telemedical techniques has happened with a particular focus on Tele-Pneumonia examinations, which provide doctors with crucial resources in remote diagnostic situations. In response to the necessity of accurate pneumonia prediction, we present a novel architecture PneuTeleCNN that makes utilization of pretrained models such as DenseNet-121, Visual Geometry Group (VGG-16), MobileNet, and InceptionV3. This thorough approach of PneuTeleCNN meticulously evaluates how effectively the system detects pneumonia in web-based telemedicine environments, establishing the stage for improved remote healthcare solutions. These model's performance is rigorously evaluated using key performance indicators, including accuracy, F1-score, recall, and precision. In addition, the evaluation includes sophisticated measures like the confusion matrix and receiver operating characteristic (ROC) curve, which offer an intricate perspective on the model's performance. To help in the identification of the model that performs better in this scenario, a comparative study is made more more straightforward by presenting of each model's validation accuracy and validation loss graphs. This PneuTeleCNN framework underscores the commitment to ensuring the robustness and reliability of the proposed telemedical approach for pneumonia detection in remote healthcare scenarios. © 2024 IEEE.

关键词： Telemedicine

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Virtuous, multi-level integration of research and education within the project "european Digital Dynamic Mapping" (EDDY) Excellent applied research as an enabler for excellent education in the context of Project-Based Learning in Higher Education Institutions

Virtuous, multi-level integration of research and education ...

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2023 Designing Futures: Zukunfte gestalten, INFORMATIK 2023 - 2023 Designing Futures: Shaping the Future, INFORMATIK 2023

作者： Rettig, Rasmus Weltz, Maximilian Hamburg University of Applied Sciences Faculty of Engineering and Computer Science Department of Information and Electrical Engineering Berliner Tor 7 Hamburg20099 Germany

ISBN: (纸本)9783885797319

Project-and Problem-Based Learning has been subject to research and implementation in engineering and computer science curricula for about the last 20 years. However, the projects and problems focused on in education have hardly been questioned for their relevance and effect. Considering current global and financial challenges, the authors propose to revise project-and problem-based approaches in education in the context of relevance and excellence in applied research. Besides coping with current cost-cutting, existing control mechanisms could ensure both relevance and excellence. Example projects based on more than 10 years of hands-on experience in Project-Based Learning in the context of externally funded research, for various classroom situations are included. © 2023 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Autonomous vehicles

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