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End-To-End Encryption Enabled Lightweight Mutual Authentication Scheme for Resource Constrained IoT Network

computers, Materials & Continua 2025年第2期82卷 3223-3249页

作者： Shafi Ullah Haidawati Muhammad Nasir Kushsairy Kadir Akbar Khan Ahsanullah Memon Shanila Azhar Ilyas Khan Muhammad Ashraf Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Computer Engineering Section Malaysian Institute of Technology Universiti Kuala LumpurKuala Lumpur50250Malaysia Electrical Engineering Section Universiti Kuala LumpurBritish Malaysian InstituteSalengor53100Malaysia Electrical Engineering Department Mehran UniversityKhairpur-Mirs76062Pakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication networks consist of resource-constrained autonomous devices, also known as autonomous Internet of things (IoTs) or machine-type communication devices (MTCDs) which act as a backbone for Industrial IoT, smart cities, and other autonomous systems. Due to the limited computing and memory capacity, these devices cannot maintain strong security if conventional security methods are applied such as heavy encryption. This article proposed a novel lightweight mutual authentication scheme including elliptic curve cryptography (ECC) driven end-to-end encryption through curve25519 such as (i): efficient end-to-end encrypted communication with pre-calculation strategy using curve25519;and (ii): elliptic curve Diffie-Hellman (ECDH) based mutual authentication technique through a novel lightweight hash function. The proposed scheme attempts to efficiently counter all known perception layer security threats. Moreover, the pre-calculated key generation strategy resulted in cost-effective encryption with 192-bit curve security. It showed comparative efficiency in key strength, and curve strength compared with similar authentication schemes in terms of computational and memory cost, communication performance and encryption robustness.

关键词： Mutual authentication lightweight end-to-end encryption elliptic curve cryptography industrial internet of things curve25519 machine-to-machine communication

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Recommendation systems-based software requirements elicitation process—a systematic literature review

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Journal of engineering and Applied Science 2024年第1期71卷 29页

作者： Akram, Faiz Ahmad, Tanvir Sadiq, Mohd. Department of Computer Engineering Faculty of Engineering and Technology Jamia Millia Islamia A Central University New Delhi110025 India Software Engineering Lab. Computer Engineering Section UPFET Jamia Millia Islamia A Central University New Delhi110025 India

Requirements elicitation is one of the fundamental sub-processes of requirements engineering which is used to find the needs of stakeholders. There are several activities in this sub-process, i.e., identification of stakeholders and their requirements, software requirements prioritization, and analysis. Recommendation systems have been intertwined with the requirements elicitation process to predict the stakeholders’ requirements based on their preferences for functional and non-functional requirements. A number of systematic literature reviews (SLRs) have been carried out in the area of requirements elicitation. These SLRs do not support the applications of the recommendation systems during the requirements elicitation process. To deal with this issue, we present an SLR on recommendation systems-based software requirements elicitation processes, from 2009 to 2022, undertaking four research questions: (a) What are the different activities of the software requirements elicitation methods? (b) What are the applications of recommendation systems in the identification of the software requirements? (c) How the recommendation systems can facilitate the identification of stakeholders in the requirements elicitation process? (d) What are the ways to automate the selection of requirements elicitation techniques? The aim of this study is to identify the research gaps in the area of recommendation systems-based requirements elicitation processes and suggest future research directions. © 2024, The Author(s).

关键词： Recommender systems

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Development of Mechatronic Solution on Hot-Stamping Heads 33rd

Development of Mechatronic Solution on Hot-Stamping Heads

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33rd International Conference on Organization and Technology of Maintenance, OTO 2024

作者： Ostojić, Ivan Velimirović, Mirjana Kovačević, Nada Ratković Dihovicni, Djordje Computer-Mechanical Engineering Section Department of Electrical and Computer Engineering Academy of Technical Applied Studies Belgrade Belgrade Serbia Urban Technics Valjevo Serbia

ISBN: (纸本)9783031805967

The general goal of the research is to reduce loss of productivity, failure and downtime and the percentage of waste in production in the company, which is already committed to and successful in applying standards, raising the quality of service, as well as occupational safety and environmental protection. In this scientific paper a mechatronic subsystem is designed and implemented, as an addition to the hot-stamping production line, which would monitor whether there are present (and whether there are in quantities enough of) each of the three thermoplastic, metallized strips, which line the product - profiled lath. When it is detected and recognized that the tape will soon be used up, the sub-system automatically signals this with turning off heating of the slat and activating a sound alarm, attracting attention of the human operator. The heater switches off automatically if the strip loss has occurred (event driven system), in order to prevent deformation of the slat profile. The subsystem includes automatic monitoring of the remaining amount of tape, alarm notification in case of imminent disappearance of the tape, with the heater turned off and alarming the operator. The human operator then has enough time to replace the tape (approximately five to ten minutes, depending on the product). The subsystem described above is designed, built, implemented, tested and put in operation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Quality of service

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Downsampling consistency correction-based quality enhancement for CNN-based light field image super-resolution

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Multimedia Tools and Applications 2024年第34期83卷 80919-80939页

作者： Chung, Kuo-Liang Hsieh, Tsung-Lun Department of Computer Science and Information Engineering National Taiwan University of Science and Technology No. 43 Section 4 Keelung Road Taipei10672 Taiwan

In recent years, numerous CNN-based light field (LF) image super-resolution (SR) methods have been developed. However, due to the downsampling inconsistency between low-resolution (LR) testing LF images and LR training LF images, they may suffer from quality degradation. To address this quality degradation issue, this paper proposes a downsampling consistency correction-based (DCC-based) quality enhancement method. Firstly, a quality-based voting strategy is introduced to identify the downsampling scheme used in the training step. Next, a cascaded Swin Transformer-based recognizer is proposed to identify the downsampled position and downsampling scheme used in the LR testing LF image, after which the proposed DCC-based method is employed to significantly improve the quality of the upsampled LF image. Comprehensive experiments have been conducted on typical LF image datasets to demonstrate the significant quality improvement achieved by our method in comparison to state-of-the-art LF SR methods. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Image enhancement

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A Julia Package for Polyhedral Omega and Applications

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ACM Communications in computer Algebra 2025年第2期58卷 39-42页

作者： Ayylldlz, Tülay Demirel, Deniz Naz Tapan, Ismail Zafeirakopoulos, Zafeirakis Department of Computer Engineering Gebze Technical University Gebze Kocaeli Turkey Department of Philosophy Middle East Technical University Ankara Turkey Section of Mathematics University of Geneva Geneva Switzerland

This paper introduces a Julia package for tackling linear Diophantine systems and related optimization problems using the Polyhedral Omega algorithm. The package integrates partition analysis and polyhedral geometry to offer efficient solutions. *** package implements the Polyhedral Omega algorithm, and *** provides optimization enhancements. © 2025 Copyright is held by the owner/author(s).

关键词： Optimization algorithms

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Automatic text summarization using deep reinforced model coupling contextualized word representation and attention mechanism

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Multimedia Tools and Applications 2024年第1期83卷 733-762页

作者： Aliakbarpour, Hassan Manzuri, Mohammad Taghi Rahmani, Amir Masoud Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Computer Engineering Department Sharif University of Technology Tehran Iran Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou64002 Taiwan

With the rapid and unprecedented growth of textual data in recent years, there is a remarkable need for automatic text summarization models to retrieve useful information from these large numbers of textual documents without human intervention within a reasonable time. Text summarization is commonly performed based on extractive and abstractive paradigms. Although different machine learning and deep learning based methods have been proposed for the task of text summarization during the last decades, they are still in their early steps of development and their potential has yet to be fully explored. Accordingly, a new summarization model is proposed in this paper which takes advantage of both extractive and abstractive text summarization models as a single unified model based on the strategy gradient of reinforcement learning. The proposed model also employs the combination of convolutional neural network and gated recurrent unit in both extraction and abstraction modules besides attention mechanism. Moreover, language models, namely Word2Vec and BERT, are used as the backbone of the proposed model to better express sentence semantics as a word vector. We conducted our experiments on widely-studied text summarization datasets (CNN\Daily Mail and DUC-2004) and according to the empirical results, not only the proposed model achieved higher accuracy compared to both extractive and abstractive summarization models in terms of ROUGE metric but also its generated summaries presented higher saliency and readability based on human evaluation. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Reinforcement learning

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Incorporating Onboard Visual Sensing and Geographic Information for Lane-Level Vehicle Localization

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IEEE Sensors Journal 2025年第12期25卷 21867-21877页

作者： Lin, Huei-Yung Li, Jun-Yi Su, Ming-Wei National Taipei University of Technology Department of Computer Science and Information Engineering No. 1 Section 3 Zhongxiao East Road Taipei10608 Taiwan National Chung Cheng University Department of Electrical Engineering 168 University Road Chiayi621 Taiwan

With the recent advances in deep learning and artificial intelligence, vehicular technologies are progressing rapidly toward fully autonomous driving. Critical components of advanced driver assistance systems (ADAS) have been extensively investigated in the past decade. In this paper, we address the challenge of precise vehicle localization using visual perception and geographic information. The proposed method incorporates drivable area detection, lane line detection, and image-map matching to achieve lane-level localization accuracy. It takes advantage of digital maps and images from the onboard cameras to simultaneously optimize vehicle localization and lane detection. A confidence estimation is proposed to generate virtual lane lines for the lane marking identification. Our networks are pre-trained on the Cityscapes, CULane and TuSimple datasets, and fine-tuned with the newly proposed TRoad and TLane. In the experiments, the performance evaluated using MAE and RMSE have demonstrated a significant improvement over the conventional GPS/GNSS-based vehicle localization techniques. Source code and datasets are available at https://***/Wally0924/Enhancing-Vehicle-Localization-Using-Lane-Detection-and-Geographic-Information. © 2001-2012 IEEE.

关键词： Advanced driver assistance systems

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Distributed adaptive differential evolution algorithm for mathematical functions optimization and development of optical band pass filter

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Optical and Quantum Electronics 2025年第1期57卷 1-25页

作者： Ghosh, Arup Kumar Garai, Gautam Bhattacharjee, Subhankar Department of Electronics and Communication Engineering Techno International New Town Kolkata India Computer Section Saha Institute of Nuclear Physics 1/AF Bidhannagar Kolkata700064 India

In this paper, we have discussed an innovative method for crafting a one-dimensional photonic crystal (1D PhC) based Optical Band Pass Filter (OBPF) using a Differential Evolution (DE) algorithm. 1D PhC-based OBPF plays a vital role in optical communication systems due to its ability to control light propagation. The proposed technique optimizes the photonic crystal structure to achieve the desired optical bandpass characteristics efficiently. The DE algorithm streamlines the design process and enables fast exploration of the design space. The effectiveness of this approach is validated through simulations and comparisons with the existing well-known methods. The OBPF comprises multiple dielectric layers with varying thicknesses and refractive indices to enable high transmission at specific wavelengths and low transmission elsewhere. The Optimization techniques are employed to adjust the parameters like thickness, refractive index, and number of layers. The DE method, thus, enhances the performance of OBPF. MATLAB implementation showcases significant outcomes with high transmittance (99.9727%), low reflectance (0.0273%), and a narrow Full Width at Half Maximum of 0.5 nm that affirms its efficacy. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Crystal filters

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Data Replication Methods in Cloud, Fog, and Edge Computing: A Systematic Literature Review

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Wireless Personal Communications 2024年第1期135卷 531-561页

作者： Karamimirazizi, Fatemeh Jameii, Seyed Mahdi Rahmani, Amir Masoud Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Department of Computer Engineering Shahr-e-Qods Branch Islamic Azad University Tehran Iran Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou64002 Taiwan

Nowadays, a large amount of data is being generated and these data are usually stored in distributed environments such as cloud, fog, and edge environments. Data replication, which is commonly used to manage large amounts of data, improves overall accessibility and availability. Due to the importance of data replication, a lot of research has been done on replication methods in these environments. In this paper, a systematic review has been conducted to analyze the existing studies on data replication methods in cloud, fog, edge, and edge-cloud environments. The advantages, disadvantages, and some of the main challenges of the existing methods are explained and a taxonomy of data replication methods is provided. The selected papers are analyzed based on various criteria related to data replication, such as recovery, storage cost, load balancing, replica consistency, security, mobility, and data migration. Finally, the open issues and future research directions are discussed. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Fog

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ENERGY AND COST BENEFITS OF ADVANCED LIGHTING TECHNOLOGY APPLICATIONS IN TRAFFIC LIGHT SYSTEMS 14

ENERGY AND COST BENEFITS OF ADVANCED LIGHTING TECHNOLOGY APP...

引用

14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion, MEDPOWER 2024

作者： Polycarpou, Alexis Georgiou, Marios S. Department of Electrical Computer Engineering and Informatics Frederick University Nicosia Cyprus Electromechanical Section Nicosia Municipality Nicosia Cyprus

ISBN: (纸本)9781837242689

Following a pilot project, which concluded in 2016, the replacement of old energy consuming Traffic Light Systems (TLS) of Nicosia Municipality were the subject of an investigation with regards to the energy saving potential and most importantly the payback period of the investment, through presumptions. This paper presents the results obtained of the new efficient technology implementation, with regards to the energy saving that materialised in the Nicosia Municipality. Investigation is presented in an attempt to determine whether the proposed solution and calculated capital employed had the expected energy usage reduction, return on investment, and payback period. The estimated cost benefit of the installed systems compared to the actual benefits varies significantly, after factors such as maintenance and electricity costs are considered. © The Institution of engineering & Technology 2024.

关键词： Street lighting

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