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arXiv 2025年

作者： Hossain, Md. Rownak Rahman, Md. Sazedur Zaman, Kh. Shahriya El Fezzani, Walid Bhuiyan, Mohammad Arif Sobhan Kang, Chia Chao JiaYew, Teh Miraz, Mahdi H. Khulna University of Engineering & Technology Khulna9203 Bangladesh Hajee Mohammad Danesh Science and Technology University Dinajpur Bangladesh Independent University Bangladesh Dhaka1229 Bangladesh Electrical and Electronic Engineering Department College of Engineering Gulf University Sanad26489 Bahrain School of Artificial Intelligence and Robotics Xiamen University Malaysia Selangor Sepang43900 Malaysia School of Computing and Data Science Xiamen University Malaysia Selangor Sepang43900 Malaysia School of Computing Faculty of Arts Science and Technology Wrexham University Wrexham United Kingdom Faculty of Computing Engineering and Science University of South Wales Swansea United Kingdom

The performance of any elliptic curve cryptography hardware accelerator significantly relies on the efficiency of the underlying point multiplication (PM) architecture. This article presents a hardware implementation of field-programmable gate array (FPGA) based modular arithmetic, group operation, and point multiplication unit on the twisted Edwards curve (Edwards25519) over the 256-bit prime field. An original hardware architecture of a unified point operation module in projective coordinates that executes point addition and point doubling within a single module has been developed, taking only 646 clock cycles and ensuring a better security level than conventional approaches. The proposed point multiplication module consumes 1.4 ms time, operating at a maximal clock frequency of 117.8 MHz utilising 164,730 clock cycles having 183.38 kbps throughput on the Xilinx Virtex-5 FPGA platform for 256-bit length of key. The comparative assessment of latency and throughput across various related recent works indicates the effectiveness of our proposed PM architecture. Finally, this high throughput and low latency PM architecture will be a good candidate for rapid data encryption in high-speed wireless communication networks. © 2025, CC BY-NC-ND.

关键词： Field programmable gate arrays (FPGA)

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Influence of cutting parameters on surface topography in high-speed milling of slots in titanium alloy TC4

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IOP Conference Series: Materials science and Engineering 2022年第1期1235卷

作者： S Kurpiel J Krupa K Zagórski J Cieślik Faculty of Mechanical Engineering and Robotics Department of Manufacturing Systems AGH University of Science and Technology al. Mickiewicza 30 30-059 Cracow Poland

This paper summarizes the experimental investigation of influence of process parameters on surface quality and dimensional accuracy of slots milled in titanium alloy TC4. Samples were milled using a 10 mm HXT coated monolith end mill for HSM milling of superalloys and titanium alloys. Process parameters, such as rotational speed, feed rate, and depth of cut were selected based on the Taguchi L9 method. After machining samples were measured, including surface quality parameters such as roughness, waviness and dimensional deviations. Measurement results indicate that within inspected parameter range rotational speed to feed ratio has a greater influence on surface quality than the depth of cut while having less influence on dimensional accuracy.

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An Empirical Study of Security Practices for Microservices Systems

arXiv

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arXiv 2021年

作者： Ali, Rezaei Nasab Mojtaba, Shahin Ali, Hoseyni Raviz Seyed Peng, Liang Amir, Mashmool Valentina, Lenarduzzi School of Computer Science Wuhan University Wuhan430072 China School of Computing Technologies RMIT University Melbourne3000 Australia Department of Computer Science Bioengineering Robotics and System Engineering University of Genoa Genoa16126 Italy Faculty of Information Technology and Electrical Engineering University of Oulu OuluFI-90014 Finland

Despite the numerous benefits of microservices systems, security has been a critical issue in such systems. Several factors explain this difficulty, including a knowledge gap among microservices practitioners on properly securing a microservices system. To (partially) bridge this gap, we conducted an empirical study. We first manually analyzed 861 microservices security points, including 567 issues, 9 documents, and 3 wiki pages from 10 GitHub open-source microservices systems and 306 Stack Overflow posts concerning security in microservices systems. In this study, a microservices security point is referred to as "a GitHub issue, a Stack Overflow post, a document, or a wiki page that entails 5 or more microservices security paragraphs". Our analysis led to a catalog of 28 microservices security practices. We then ran a survey with 74 microservices practitioners to evaluate the usefulness of these 28 practices. Our findings demonstrate that the survey respondents affirmed the usefulness of the 28 practices. We believe that the catalog of microservices security practices can serve as a valuable resource for microservices practitioners to more effectively address security issues in microservices systems. It can also inform the research community of the required or less explored areas to develop microservices-specific security practices and tools. © 2021, CC BY.

关键词： Open systems

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Influence of the variables describing brain signals on the performance of the Naive Bayesian Classifier

Influence of the variables describing brain signals on the p...

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Progress in Applied Electrical Engineering (PAEE)

作者： Aleksandra Kawala-Sterniuk Jaroslaw Zygarlicki Adam Lysiak Barbara Grochowicz Mariusz Pelc Waldemar Bauer Dawid Baczkowicz Krzysztof Krecisz Katarzyna A. Dylag Wiktoria Wieczorek Radana Kahankova Radek Martinek Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland School of Computing and Mathematical Sciences University of Greenwich London UK Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland Faculty of Physical Education and Physiotherapy Opole University of Technology Opole Poland St. Louis Children Hospital Krakow Poland Department of Pathophysiology Jagiellonian University in Krakow–Collegium Medicum Krakow Poland Department of Bioinformatics and Telemedicine Jagiellonian University in Krakow–Collegium Medicum Krakow Poland Department of Cybernetics and Biomedical Engineering–FEECS VSB—Technical University Ostrava Ostrava–Poruba Czech Republic

ISBN: (数字)9781665455152

ISBN: (纸本)9781665455169

In this paper various variables describing brain signals such as near-infrared spectroscopy (NIRS) and electroencephalography (EEG) on the Naive Bayesian Classifier were presented. Analysis of biomedical signals is a very challenging task – therefore the authors of this work decided to analyse two types of brain signals – EEG and NIRS, which have different features, character, nature and are differently prone to various artifacts occurrence. The applied classifiers can be applied for various features extraction and pattern comparisons, which is useful in diagnostic processes.

关键词： Electrical engineering Feature extraction Electroencephalography Bayes methods Task analysis Functional near-infrared spectroscopy

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Ovarian Cysts Classification Using Novel Deep Q-Learning With Harris Hawks Optimization Method

Research Square

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Research Square 2021年

作者： Narmatha, C. Manimegalai, P. Krishnadass, J. Valsalan, Prajoona Manimurugan, S. Karunya Institute of Technology and Sciences India Department of Computer Science Faculty of Computers and Information Technology University of Tabuk Tabuk Saudi Arabia Department of Biomedical Engineering Karunya Deemed University Tamil Nadu Coimbatore India Sahrdaya College of Engineering and Technology Kodakara India Department of Electrical and Computer Engineering Dhofar University Salalah Oman Scientific Research and Consultant Unit Industrial Innovation & Robotics Center Department of Information Technology Faculty of Computers and Information Technology University of Tabuk Tabuk Saudi Arabia

This research presents an essential solution for classifying ultrasound diagnostic images describing seven types of ovarian cysts: Follicular cyst, Hemorrhagic cyst, Corpus luteum cyst, Polycystic-appearing ovary, endometriosis cysts, Dermoid cyst, and Teratoma. This work proposed a novel technique using images of ovarian ultrasound cysts from an ongoing database with this motivation. Initially, the work is followed by removing noise in preprocessing, feature extraction, and finally classifying using new Deep Q-Network with Harris Hawks Optimization (HHO) classifier. Automatic feature extraction is implemented using the recent popular convolutional neural network (CNN) technique that extracts image features as conditions in the reinforcement learning algorithm. With this, through the procedure of a new deep Q-learning algorithm, Deep Q-Network (DQN) is generated to train a Q-network. The swarm-based method of HHO utilized the optimization method to produce optimal hyperparameters in the DQN model known as HHO-DQN, a novel technique for classifying ovarian cysts. Extensive experimental evaluations on datasets show that the proposed HHO- DQN approach outperforms existing active learning approaches for ovarian cyst classification. Compared with the ANN, CNN, and AlexNet models, the performance of the proposed model is better in terms of precision, f-measure, recall, accuracy, and IoU. The proposed model has achieved 96% precision, 96.5% f-measure, 96% recall, 97% accuracy, and 0.65 IoU. © 2021, CC BY.

关键词： Image classification

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Hierarchical hybrid control for Multiple Mobile Robot Systems ⁎

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IFAC-PapersOnLine 2019年第8期52卷 452-457页

作者： Elzbieta Roszkowska Piotr Dulewicz Lukasz Janiec Department of Cybernetics and Robotics Electronics Faculty Wroclaw University of Science and Technology Poland

The paper presents a hybrid (discrete-event/continuous-time) control concept for a system of mobile robots sharing a common motion space. The logics underlying its construction formally ensures collision-free and deadlock-free motion of the robots, and the modular structure of the controller allows for its modification and experimental optimization.

关键词： Multiple mobile robot system formally correct behavior hybrid control

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The conceptual approach of system for automatic vehicle accident detection and searching for life signs of casualties 5th

The conceptual approach of system for automatic vehicle acci...

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5th International Doctoral Symposium on Applied Computation and Security Systems, ACSS 2018

作者： Lupinska-Dubicka, Anna Tabedzki, Marek Adamski, Marcin Rybnik, Mariusz Omieljanowicz, Miroslaw Omieljanowicz, Andrzej Szymkowski, Maciej Gruszewski, Marek Klimowicz, Adam Rubin, Grzegorz Saeed, Khalid Faculty of Computer Science Bialystok University of Technology Bialystok Poland Faculty of Mathematics and Informatics University of Bialystok Bialystok Poland Faculty of Mechanical Engineering Department of Automatic Control and Robotics Bialystok University of Technology Bialystok Poland Faculty of Computer and Food Science Lomza State University of Applied Sciences Lomza Poland

ISBN: (纸本)9789811337017

The European eSafety initiative aims to improve the safety and efficiency of road transport. The main element of eSafety is the pan-European eCall project—an in-vehicle system which idea is to inform about road collisions or serious accidents. As estimated by the European Commission, the implemented system will reduce services’ response time by 40%. This will save 2,500 people a year. In 2015, the European Parliament adopted the legislation that from the end of March 2018 all new cars from the EU should be equipped with the eCall system. The limitation of this idea is that only small part of cars driven in UE are brand new (about 3.7% brand new cars were sold in 2015). This paper presents the first concept of an onboard eCall device which can be installed at the owners’ request in used vehicles. The proposed system will be able to detect a road accident, indicate the number of vehicle’s occupants, report their vital functions, and send that information to dedicated emergency services via duplex communication channel. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Emergency services

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Accurate, interpretable, and fast animation: An iterative, sparse, and nonconvex approach

arXiv

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arXiv 2021年

作者： Racković, Stevo Soares, Cláudia Jakovetić, Dušan Desnica, Zoranka Institute for Systems and Robotics Instituto Superior Técnico Lisbon1049-001 Portugal Computer Science Department NOVA School of Science and Technology Caparica2825-149 Portugal Department of Mathematics Faculty of Sciences University of Novi Sad Novi Sad21000 Serbia 3Lateral Animation Studio Epic Games Company

Digital human animation relies on high-quality 3D models of the human face-rigs. A face rig must be accurate and, at the same time, fast to compute. One of the most common rigging models is the blendshape model. We propose a novel algorithm for solving the nonconvex inverse rig problem in facial animation. Our approach is model-based, but in contrast with previous model-based approaches, we use a quadratic instead of the linear approximation to the higher order rig model. This increases the accuracy of the solution by 8% (0:26mm) on average and, confirmed by the empirical results, increases the sparsity of the resulting parameter vector-an important feature for interpretability by animation artists. The proposed solution is based on a Levenberg-Marquardt (LM) algorithm, applied to a nonconvex constrained problem with sparsity regularization. In order to reduce the complexity of the iterates, a paradigm of Majorization Minimization (MM) is further invoked, which leads to an easy to solve problem that is separable in the parameters at each algorithm iteration. The algorithm is evaluated on a number of animation datasets, proprietary and open-source, and the results indicate the superiority of our method compared to the standard approach based on the linear rig approximation. Although our algorithm targets the specific problem, it might have additional signal processing applications. © 2021, CC BY-NC-SA.

关键词： Animation

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Application of qualitative and quantitative methods of analysis in designing research into the vibrations of an oscillator forced by a random series of impulses

Application of qualitative and quantitative methods of analy...

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作者： Ozga, Agnieszka AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Department of Mechanics and Vibroacoustics Al. Mickiewicza 30 Krakow30-059 Poland

The paper describes the changes that take place in an oscillator with damping, whose vibrations were forced by a random series of impulses. The idea of application of the qualitative and quantitative methods of analysis for solving the problems that occur in mechanical engineering has been presented. Qualitative methods were used to design simulation and experimental studies verifying the stochastic model. Quantitative methods were applied to solve a reverse problem which consisted in finding the distributions of the values of impulses forcing the vibrations of the oscillator. © 2019, Springer Nature Switzerland AG.

关键词： Inverse problems

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Retinal Disorder Diagnosis Based on Hybrid Deep Learning Models

SSRN

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SSRN 2022年

作者： Sedik, Ahmed El-Hag, Noha A. El-Hoseny, Heba M. El-Banby, Ghada M. Khalaf, Ashraf A.M. Abd El-Samie, Fathi E. El-Shafai, Walid Department of the Robotics and Intelligent Machines Faculty of Artificial Intelligence Kafrelsheikh University Egypt Menoufia University Egypt Department of Electronics and Electrical Communication Engineering Al-Obour High Institute for Engineering and Technology Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Deptartment of Electronics and Electrical Communication Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh84428 Saudi Arabia Security Engineering Lab Computer Science Department Prince Sultan University Riyadh11586 Saudi Arabia

Anomaly detection from medical images is badly needed for automated diagnosis. For example, medical images obtainedwith several modalities such as magnetic resonance (MR) and confocal microscopy need to be classified for anomaly *** MR images may contain tumors that need to be detected with anomaly detection techniques. In MR imaging, braintumors are represented as areas composed of abnormal cells that need to be detected. In addition, confocal microscopy can be used for retinal imaging. Hence, there is a need to apply classification techniques for diagnosing diseases of the eye such as Diabetic Retinopathy (DR), which leads to exudates in different regions of the retina. The detection of exudates is necessary for the diagnosis of DR. In this paper, two models are presented for the classification of MR and retinal images. Much research has been done in this area, but it did not achieve high accuracy of classification in an acceptable time. In addition, the previous models did not consider both types of image modalities considered in this paper. The suggested models are Convolutional Neural Network (CNN) and Convolutional Long Short-Term Memory (Conv-LSTM). They are used to classify © 2022, The Authors. All rights reserved.

关键词： Ophthalmology

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