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2D logistic map with unit transfer function and modulus operation based pseudorandom number generation for image encryption

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Scientific reports 2025年第1期15卷 19330页

作者： Raiz Ahmad Ghawar Said Aymen Flah Habib Kraiem Claude Ziad El Bayeh Yousaf Hameed Khattak Faisal Baig Federal Urdu University of Arts Science & Technology Islamabad Islamabad Pakistan. Computer Science Department Iqra University Islamabad Pakistan. Processes Energy Environment and Electrical Systems National Engineering School of Gabès University of Gabès Gabès Tunisia. Applied Science Research Center Applied Science Private University Amman 11931 Jordan. Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura Punjab 140401 India. ENET Centre VSB-Technical University of Ostrava Ostrava Czech Republic. Jadara University Research Center Jadara University Irbid Jordan. Center for Scientific Research and Entrepreneurship Northern Border University 73213 Arar Saudi Arabia. College of Engineering and Technology University of Doha for Science and Technology Doha Qatar. Federal Urdu University of Arts Science & Technology Islamabad Islamabad Pakistan. yousaf.hameedk@***. School of Design Engineering Universitat Politecnicia de Valencia Valencia Spain. yousaf.hameedk@***. School of Design Engineering Universitat Politecnicia de Valencia Valencia Spain.

This study presents a novel approach to generating high-quality random numbers using a two-dimensional logistic map with a unit transfer function (2DLMUTF). The method is built upon the chaotic dynamics of the logistic map, where the parameter [Formula: see text] governs the system's behavior, exhibiting chaotic nature in the range of 3.57 to 4. By applying a unit transfer function and modulus operation, the system's output is constrained within the [0, 1] range, altering the phase space dynamics compared to traditional 2D logistic maps. Numerical simulations in MATLAB, with parameters [Formula: see text]=4, [Formula: see text]=3.8, and initial seed values [Formula: see text]=0.2350 and [Formula: see text]=0.3500, were run for [Formula: see text] iterations. Statistical testing using the NIST SP 800 - 22 test suite showed superior randomness, with the method passing all 15 tests. Additionally, uniformity, autocorrelation, cross-correlation, and entropy analyses confirmed the method's suitability for cryptographic applications. The generated random numbers were used to create substitution boxes (S-boxes) for image encryption, demonstrating strong encryption performance. Overall, 2DLMUTF offers a computationally efficient and secure solution for random number generation which is suitable for cryptographic and image encryption applications.

关键词： Chaotic map Encryption Image cryptography Security analysis Two-dimensional logistic map

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Vulnerability of Synchrophasor-based WAMPAC Applications’ to Time Synchronization Spoofing

Vulnerability of Synchrophasor-based WAMPAC Applications’ t...

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IEEE General Meeting Power& Energy Society

作者： Muhammad Shoaib Almas Luigi Vanfretti Ravi Shankar Singh Gudrun Margret Jonsdottir Electric Power and Energy (EPE) Systems KTH Royal Institute of Technology Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Department of Electrical Engineering Technische Universiteit Eindhoven School of Electrical and Electronic Engineering University College Dublin

ISBN: (纸本)9781538677049;9781538677032

Summary form only given. This paper experimentally assesses the impact of time synchronization spoofing attacks (TSSA) on synchrophasor-based Wide-Area Monitoring, Protection and Control applications. Phase Angle Monitoring (PAM), anti-islanding protection and power oscillation damping applications are investigated. TSSA are created using a real-time IRIG-B signal generator and power system models are executed using a real-time simulator with commercial phasor measurement units (PMUs) coupled to them as hardware-in-the-loop. Because PMUs utilize time synchronization signals to compute synchrophasors, an error in the PMUs' time input introduces a proportional phase error in the voltage or current phase measurements provided by the PMU. The experiments conclude that a phase angle monitoring application will show erroneous power transfers, whereas the anti-islanding protection mal-operates and the damping controller introduces negative damping in the system as a result of the time synchronization error incurred in the PMUs due to TSSA. The proposed test-bench and TSSA approach can be used to investigate the impact of TSSA on any WAMPAC application and to determine the time synchronization error threshold that can be tolerated by these WAMPAC applications.

关键词： Phasor measurement units Synchronization Monitoring Damping Real-time systems computer security systems engineering and theory

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Superconductivity of platinum hydride

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Physical Review B 2019年第14期99卷 144511-144511页

作者： Takahiro Matsuoka Masahiro Hishida Keiji Kuno Naohisa Hirao Yasuo Ohishi Shigeo Sasaki Kazushi Takahama Katsuya Shimizu Department of Electrical Electronic and Computer Engineering Faculty of Engineering Gifu University Gifu 501-1193 Japan Department of Materials Science and Technology Gifu University Gifu 501-1193 Japan Environmental and Renewable Energy Systems Division Gifu University Gifu 501-1193 Japan Japan Synchrotron Radiation Research Institute (JASRI) Hyogo 679-5198 Japan Center for Science and Technology under Extreme Conditions Graduate School of Engineering Science Osaka University Osaka 560-8531 Japan

We report the ac magnetic susceptibility, electrical resistance, and x-ray diffraction measurements of PtHx(x≃1) in diamond anvil cells, that reveal the superconducting transition. At 30 GPa, when PtHx is in a P63/mmc structure, PtHx exhibits the superconducting transition at 7 K. Remarkably, the observed Tc is higher than that of powdered Pt by more than three orders of magnitude. It is suggested that the noble metals in the periodic table of elements possibly form a region where hydrides have higher Tc than elements.

关键词： Pressure effects Superconducting phase transition Hydrides Low-temperature superconductors AC susceptibility measurements Resistivity measurements X-ray powder diffraction

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RARE: Image reconstruction using deep priors learned without ground truth

arXiv

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arXiv 2019年

作者： Liu, Jiaming Sun, Yu Eldeniz, Cihat Gan, Weijie An, Hongyu Kamilov, Ulugbek S. Department of Electrical & System Engineering Washington University St. LouisMO63130 United States Department of Computer Science & Enginnering Washington University St. LouisMO63130 United States Mallinckrodt Institute of Radiology Washington University in St. Louis St. LouisMO63130 United States Mallinckrodt Institute of Radiology Department of Biomedical Engineering Division of Biology and Biomedical Sciences Washington University in St. Louis St. LouisMO63130 United States Department of Computer Science & Engineering Department of Electrical & Systems Engineering Washington University St. LouisMO63130 United States

We propose a new method for image reconstruction that systematically enforces data consistency while also exploiting deep-learning-based image priors. The proposed regularization by artifact removal (RARE) specifies the prior through a convolutional neural network (CNN) trained to remove image-domain artifacts. Additionally, to address the lack of artifact-free training examples, the CNN in RARE is trained to restore images by looking only at corrupted examples without any ground-truth data. This makes RARE broadly applicable to challenging medical imaging problems, where it is nearly impossible to have clean training data. We validate RARE on both synthetic and experimentally collected datasets by reconstructing a free-breathing whole-body MRI scans into ten respiratory phases. The results show that RARE can form high-quality 4D images from severely undersampled measurements corresponding to acquisitions of about 1 minute in duration. Our results also highlight the potential of integrating both the forward-model and the data-driven CNN prior to yield better performance compared to purely model-based and purely CNN-based approaches. Copyright © 2019, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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Towards a Remote Sensing System for Railroad Bridge Inspections: A Concrete Crack Detection Component

Towards a Remote Sensing System for Railroad Bridge Inspecti...

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IEEE SoutheastCon

作者： Luis Daniel Otero Mark Moyou Adrian Peter Carlos E. Otero Department of Engineering Systems Florida Institute of Technology Melbourne FL USA Department of Electrical and Computer Engineering Florida Institute of Technology Melbourne FL USA

ISBN: (纸本)9781538661345

This research paper presents ongoing research work towards developing an effective remote sensing system for bridge inspections. The paper describes the development and evaluation of a five-step prototype image processing algorithm to detect concrete cracks. The algorithm, based on an unsupervised learning approach, extracts pixels that belong to concrete cracks from images. The algorithm was tested using various images collected from field tests. The images included different types of concrete cracks, along with various types of noise factors. The algorithm was successful in detecting the different types of concrete cracks from various images. Contrary to most studies from the literature, these images were not "clean". That is, the images were collected from field tests and used as inputs to the detection algorithm without any preprocessing activity.

关键词： Structural inspections Bridge inspections Concrete crack detection Transportation systems engineering

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Impact of Camera Vibration Frequencies on Image Noise for Unmanned Aerial System Applications

Impact of Camera Vibration Frequencies on Image Noise for Un...

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IEEE SoutheastCon

作者： Wei-Hao Huang Luis Daniel Otero Carlos E. Otero Mark Moyou Department of Engineering Systems Florida Institute of Technology Melbourne FL USA Department of Electrical and Computer Engineering Florida Institute of Technology Melbourne FL USA

ISBN: (纸本)9781538661345

In the transportation systems engineering field, there is a fast growing interest to use small unmanned aerial systems (UAS) for structural inspections. Of particular importance is the development of image processing algorithms to process UAS collected data for transportation infrastructure (e.g., bridges) defect detection/classification purposes. Results from preliminary experiments using image data collected with a UAS have shown the presence of significant image noise, which negatively impacts the efficiency of algorithms to detect/classify structural defects. This research study presents an ongoing effort to understand the relationship between UAS camera vibrations to image noise. Ultimately, the objective is to identify maximum camera vibration frequencies that will result in acceptable image noise levels for effective detection and classification of defects.

关键词： Image noise Unmanned aerial systems Structural inspections Image processing

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Extraordinary transmission through subwavelength hole arrays for general oblique incidence - mechanism as related to surface wave dispersion and floquet lattice diagrams

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Progress In Electromagnetics Research B 2018年 82卷 49-71页

作者： Kehn, Malcolm Ng Mou Department of Electrical and Computer Engineering Institute of Communications Engineering Center for mmWave Smart Radar Systems and Technologies at the National Chiao Tung University Hsinchu Taiwan

An array of rectangular holes pierced through a conducting screen is treated herein by a rigorous full-wave modal analysis using the moment method entailing Green's functions for rectangular cavities and planar multilayer structures in the spectral domain. Unexpectedly strong diffusions of incident plane waves are observed even at frequencies where the size of each hole is considerably less than the wavelength, posing a transmission efficiency that exceeds unity and thus leading to extraordinary transmission since this defies classical aperture diffraction theory. This paper fortifies the present understanding of the role surface plasmon polaritons (SPP) play in explaining this phenomenon, by using surface-wave dispersion and Floquet lattice diagrams to link up with the peaks in the transmission spectra. The incidence angle and polarization of the irradiation are taken into account in this work. © 2018 Progress in Electromagnetics Research B.

关键词： Modal analysis

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IoT-based Smart and Complex systems：A Guest Editorial Report

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 69-73页

作者： Naiqi Wu Zhiwu Li Kamel Barkaoui Xiaoou Li Tadahiko Murata MengChu Zhou Institute of Systems Engineering Macao University of Science and Technology Macao 999078 China School of Electro-Mechanical Engineering Xidian University Xi'an 710071 China Conservatoire national des arts et mtiers Professeur des universit6s EPN5 Informatique Lab. Cedric-Vespa 2 rue Cont6 75141 Pads Cedex 03 France CINVESTAV-IPN Mexico Kansai University Japan Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102-1982 USA IEEE

THE Industrial Revolution starting from about 1760 and ending at around 1840 has been viewed as the first Industrial *** features with the replacement of human and animal muscle power with steam and mechanical *** inc... 详细信息

关键词： In IoT-based Smart and Complex systems:A Guest Editorial Report

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Biomedical image analysis competitions: The state of current participation practice

arXiv

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arXiv 2022年

作者： Eisenmann, Matthias Reinke, Annika Weru, Vivienn Tizabi, Minu Dietlinde Isensee, Fabian Adler, Tim J. Godau, Patrick Cheplygina, Veronika Kozubek, Michal Maier-Hein, Klaus Jäger, Paul F. Kopp-Schneider, Annette Maier-Hein, Lena Ali, Sharib Gupta, Anubha Kybic, Jan Noble, Alison de Solórzano, Carlos Ortiz Pachade, Samiksha Petitjean, Caroline Sage, Daniel Wei, Donglai Wilden, Elizabeth Alapatt, Deepak Andrearczyk, Vincent Baid, Ujjwal Bakas, Spyridon Balu, Niranjan Bano, Sophia Bawa, Vivek Singh Bernal, Jorge Bodenstedt, Sebastian Casella, Alessandro Choi, Jinwook Commowick, Olivier Daum, Marie Depeursinge, Adrien Dorent, Reuben Egger, Jan Eichhorn, Hannah Engelhardt, Sandy Ganz, Melanie Girard, Gabriel Hansen, Lasse Heinrich, Mattias Heller, Nicholas Hering, Alessa Huaulmé, Arnaud Kim, Hyunjeong Li, Hongwei Bran Landman, Bennett Li, Jianning Ma, Jun Martel, Anne Martín-Isla, Carlos Menze, Bjoern Nwoye, Chinedu Innocent Oreiller, Valentin Padoy, Nicolas Pati, Sarthak Payette, Kelly Sudre, Carole van Wijnen, Kimberlin Vardazaryan, Armine Vercauteren, Tom Wagner, Martin Wang, Chuanbo Yap, Moi Hoon Yu, Zeyun Yuan, Chun Zenk, Maximilian Zia, Aneeq Zimmerer, David Bao, Rina Choi, Chanyeol Cohen, Andrew Dzyubachyk, Oleh Galdran, Adrian Gan, Tianyuan Guo, Tianqi Gupta, Pradyumna Haithami, Mahmood Ho, Edward Jang, Ikbeom Li, Zhili Luo, Zhengbo Lux, Filip Makrogiannis, Sokratis Müller, Dominik Oh, Young-Tack Pang, Subeen Pape, Constantin Polat, Gorkem Reed, Charlotte Rosalie Ryu, Kanghyun Scherr, Tim Thambawita, Vajira Wang, Haoyu Wang, Xinliang Xu, Kele Yeh, Hung Yeo, Doyeob Yuan, Yixuan Zeng, Yan Zhao, Xin Abbing, Julian Adam, Jannes Adluru, Nagesh Agethen, Niklas Ahmed, Salman Al Khalil, Yasmina Alenyà, Mireia Alhoniemi, Esa An, Chengyang Arega, Tewodros Weldebirhan Avisdris, Netanell Aydogan, Dogu Baran Bai, Yingbin Calisto, Maria Baldeon Basaran, Berke Doga Beetz, Marcel Bian, Hao Blansit, Kevin Bloch, Louise Bohnsack, Robert Bosticardo, Sara Breen, Jack Brudfors, Mikael Brüngel, Raphael Cabezas, Mariano Cacciola, Alb Heidelberg Division of Intelligent Medical Systems Germany Heidelberg HI Helmholtz Imaging Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Biostatistics Germany Heidelberg Division of Medical Image Computing Germany Heidelberg HI Applied Vision Lab Germany IT University of Copenhagen Copenhagen Denmark Centre for Biomedical Image Analysis Masaryk University Brno Czech Republic Heidelberg Interactive Machine Learning Group Germany Faculty of Mathematics and Computer Science and Medical Faculty Heidelberg University Heidelberg Germany NCT Heidelberg DKFZ University Hospital Heidelberg Germany School of Computing University of Leeds Leeds United Kingdom SBILab Department of ECE IIIT-Delhi India Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Institute of Biomedical Engineering University of Oxford United Kingdom Center for Applied Medical Research Pamplona Spain Shri Guru Gobind Singhji Institute of Engineering and Technology Maharashtra Nanded India Université de Rouen Normandie France Lausanne Switzerland School of Engineering and Applied Science Harvard University United States ICube University of Strasbourg CNRS France Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Techno-Pôle 3 Sierre3960 Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Rue du Bugnon 46 LausanneCH-1011 Switzerland University of Pennsylvania PhiladelphiaPA United States Department of Radiology University of Washington United States Wellcome EPSRC Centre for Interventional and Surgical Sciences University College London London United Kingdom Visual Artificial Intelligence Lab Oxford Brookes University Oxford United Kingdom Universitat Autònoma de Barcelona & Computer Vision Center Spain Dresden Fetscherstraße 74 PF 64 Dresden01307 Germany

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known about the common practice as well as bottlenecks faced by the community in tackling the research questions posed. To shed light on the status quo of algorithm development in the specific field of biomedical imaging analysis, we designed an international survey that was issued to all participants of challenges conducted in conjunction with the IEEE ISBI 2021 and MICCAI 2021 conferences (80 competitions in total). The survey covered participants' expertise and working environments, their chosen strategies, as well as algorithm characteristics. A median of 72% challenge participants took part in the survey. According to our results, knowledge exchange was the primary incentive (70%) for participation, while the reception of prize money played only a minor role (16%). While a median of 80 working hours was spent on method development, a large portion of participants stated that they did not have enough time for method development (32%). 25% perceived the infrastructure to be a bottleneck. Overall, 94% of all solutions were deep learning-based. Of these, 84% were based on standard architectures. 43% of the respondents reported that the data samples (e.g., images) were too large to be processed at once. This was most commonly addressed by patch-based training (69%), downsampling (37%), and solving 3D analysis tasks as a series of 2D tasks. K-fold cross-validation on the training set was performed by only 37% of the participants and only 50% of the participants performed ensembling based on multiple identical models (61%) or heterogeneous models (39%). 48% of the respondents applied postprocessing steps. © 2022, CC BY.

关键词： Benchmarking

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Classification of Hand Movements from EMG Signals using Optimized MLP

Classification of Hand Movements from EMG Signals using Opti...

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2018 International Joint Conference on Neural Networks, IJCNN 2018

作者： Lima, Aron A. Martins Araujo, Rafael M. Santos, Fábio A. Guidotti Dos Yoshizumi, Victor H. De Barros, Fábio K. H. Spatti, Danilo H. Liboni, Luisa H. B. Dajer, Maria E. Department of Electrical Engineering Federal University of Technology Paraná Cornélio Procópio Brazil Department of Computational Engineering Federal University of Technology Paraná Cornélio Procópio Brazil Department of Computational Systems University of São Paulo São Carlos Brazil Dep. Of Electrical and Computer Engineering Federal Institute of Education Science and Technology of São Paulo Sertãozinho Brazil

ISBN: (纸本)9781509060146

The emergence of artificial neural networks (ANNs) caused a great revolution in the knowledge area of pattern-classification and contributed to the fast development of intelligent systems. For an ANN to be effective, its topology parameters must be set up, such as learning rate, number of layers, and number of neurons. Therefore, optimization algorithms can be used to produce more efficient ANNs. In this paper, we propose a genetic algorithm (GA) to better estimate parameters of an ANN applied to the classification of the type, strength, and orientation of different hand movements from electromyography signals. Acquired data signals were first processed with the Wavelet Transform (WT) to extract the most important features. These features were presented to the optimized hybrid intelligent system (HIS) composed of ANNs and the optimization GA. Classification results are promising, presenting accuracy rates above 90% and reliability rate of 98%. These results support the use of HIS in practical applications such as smart prostheses and automatic medical evaluations. © 2018 IEEE.

关键词： Genetic algorithms

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