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An LSTM-Based Method for Automatic Reliability Prediction of Cognitive Radio Vehicular Ad Hoc Networks

SN computer Science 2024年第3期5卷 291页

作者： Bahramnejad, Somayeh Movahhedinia, Naser Naseri, Amineh Department of Computer Engineering Sirjan University of Technology Sirjan 78137-33385 Iran Faculty of Computer Engineering University of Isfahan Hezarjarib Isfahan Isfahan *** Iran

Reliability is a critical issue in vehicular networks. A deep learning (DL) method is proposed in this study to automatically predict the reliability of cognitive radio vehicular networks (CR-VANETs) ignored in the previous research. First, a dataset is generated based on a previously proposed method for the reliability assessment of CR-VANETs. Then, a model is proposed to predict the networks’ reliability using the DL method and compared with other machine learning methods. While machine learning methods have been applied in vehicular networks, they have not been used for reliability prediction. The proposed DL model is utilized in this research to predict CR-VANETs’ reliability. Based on the results, the DL model outperforms other machine learning methods for reliability prediction. The correlation coefficient and root mean square error of the test data for the DL model are 0.9862 and 0.0381, respectively. These results indicate the CR-VANETs’ reliability prediction accurately using the proposed method. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2024.

关键词： CR-VANETs Dataset generation Deep learning LSTM Reliability prediction

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Dielectric Material Characterization for Reflectarray Antennas Designed at Sub-6GHz and Millimeter Wave Bands of 5G 16

Dielectric Material Characterization for Reflectarray Antenn...

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16th IEEE Malaysia International Conference on Communication, MICC 2023

作者： Khan, Sher Dali Abbasi, Muhammad Inam Ibrahim, Imran Mohd Sohu, Izhar Ahmed Khan, Sanaullah Faculty of Electrical and Electronic Engineering Technology Malaysia Faculty of Electronic and Computer Engineering Malaysia

ISBN: (纸本)9798350304343

The future compliance of reflectarray antenna necessitates a methodical examination of its primary traditional configurations to anticipate improvements. The current design, which utilizes microwave and millimeter wave frequencies, serves as a fundamental foundation for further investigation. This study offers a comparison and characterization of various dielectric substrates employed in Sub-6 GHz and millimeter wave reflectarray antenna, based on unit cells designed at 3.5 GHz and 28 GHz. The analysis utilizes a range of commercially accessible dielectric materials characterized by dielectric permittivity $({{\varepsilon _r}})$ values spanning 2 to 3.6 and loss tangent (tan) values ranging from 0.0009 to 0.001. The performance of different dielectric materials in the design of infinite reflectarray is assessed in terms of bandwidth and reflection loss, providing a comprehensive comparison. It is observed that the bandwidth of patch element unit cells at different levels exhibits significant variations depending on the material properties, with a 10% bandwidth range. Furthermore, it is illustrated that the reflectarray antenna's reflection loss can be deconstructed into dielectric and conductor losses, both contingent upon the material properties utilized in the design. This article presents a comparison of eleven distinct substrate materials that have the potential to result in disruptive designs for both the architecture and components, thereby impacting the performance of the reflectarray antenna. © 2023 IEEE.

关键词： Bandwidth

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Mobility-Aware Power Control and User Scheduling for Downlink V2I Networks 100

Mobility-Aware Power Control and User Scheduling for Downlin...

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100th IEEE Vehicular technology Conference, VTC 2024-Fall

作者： Wang, Yujie Zhou, Momiao Sun, Yanshi Wang, Kan Hefei University of Technology School of Computer Science and Information Engineering Hefei China Xi'an University of Technology Faculty of Computer Science and Engineering Xi'an China

ISBN: (纸本)9798331517786

Vehicle-to-infrastructure (V2I) network is a new paradigm of wireless system with special topology where roadside units (RSUs) are linearly deployed along the roadside and vehicles linearly move on the road. For such system, some classical problems would have new formulations and solutions. We in this paper investigate the joint power control and user scheduling problem for a multi-cell downlink V2I network, the objective of which is to maximize the sum-rate of the network under the signal-to-interference-plus-noise ratio (SINR) constraint of each V2I link. Considering the high mobility of vehicles, the objective function is set as the mean of the sum-rate over a sequence of time slots. For ease of handling, we first decouple the problem into multiple separate subproblems based on the linear distribution of RSUs. Then we employ the quadratic transform technique for fractional programming (FP) to transform the mixed integer nonlinear programming (MINLP) subproblems into convex problems, and obtain the solutions with Branch and Bound method. Finally the validity of our proposed algorithm is verified by numerical simulations. © 2024 IEEE.

关键词： Quadratic programming

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Intrusion Detection in WSN with Optimal Trained Hybrid Model: Introduction to Self-Improved Beluga Whale Optimization 4

Intrusion Detection in WSN with Optimal Trained Hybrid Model...

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4th International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Chandan, Madhavarapu Santhi, S.G. Rao, T. Srinivasa Annamalai University Faculty of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Annamalainagar India Faculty of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Annamalainagar608002 India Gudlavalleru Engineering College Department of Computer Science and Engineering Andhra Pradesh Gudlavalleru India

ISBN: (纸本)9798350343670

WSN security is a current area of research for many scientists. One of the best security tools for defending the network from malicious assaults or the unauthenticated access is IDS. In this article, we suggest an optimized hybrid classification model-based IDS with certain steps to follow. In preprocessing, the issue of class imbalance data is solved using SMOTE. A collection of features, including raw features, statistical features, and entropy features are extracted in the feature extraction step. Optimal feature selection is done based on the extracted feature set via proposed SI-BWO (Self Improved Beluga Whale Optimization) algorithm. Attack detection is the next stage, in which hybrid classification will be takes place by combining the CNN and DBN model. The same SI-BWO algorithm is used to perform the hybrid model's optimum training. Once an attack has been detected, the attack mitigation procedure is then carried out. © 2024 IEEE.

关键词： CNN IDS SI-BWO SMOTE WSN

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To Kill a Mockingbird: Cryptanalysis of an Authenticated Key Exchange Scheme for Drones 15

To Kill a Mockingbird: Cryptanalysis of an Authenticated Key...

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15th International Conference on Information and Knowledge technology, IKT 2024

作者： Toghraee, Neda Mala, Hamid Dept. of Information Technology Engineering Faculty of Computer Engineering University of Isfahan Isfahan Iran

ISBN: (纸本)9798331522254

Drones have evolved into sophisticated autonomous systems with a multitude of applications, including military operations, environmental monitoring, traffic oversight, data transmission, package delivery, fire targeting, and film production. As the Internet of Drones (IoD) ecosystem expands, ensuring secure and real-time access for authorized users becomes increasingly vital. User and drone authentication is crucial for this reason. In response to these challenges, Srinivas et al. proposed a lightweight three-factor authentication protocol designed for the IoD. While the authors assert that their protocol is resilient against known cyber threats, our research identifies critical vulnerabilities that challenge this claim. Although this scheme has already been cryptanalyzed in previous studies, in this paper we propose two new attacks on this scheme. Firstly, we present a concrete attack against the perfect forward secrecy of this scheme, and then we show that it is vulnerable to unauthorized access attack by a valid user to an unauthorized area's information. These weaknesses highlight the pressing need for the development of more secure authentication mechanisms in the IoD environment. Moving forward, addressing these vulnerabilities will be essential for fostering trust and ensuring the safe integration of drones into various applications, ultimately contributing to the advancement of IoD technology. © 2024 IEEE.

关键词： Authentication Protocol

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Two dimensional cuckoo search optimization algorithm based despeckling filter for the real ultrasound images

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Journal of Ambient Intelligence and Humanized Computing 2024年第1期15卷 921-942页

作者： Gupta, Pradeep K. Lal, Shyam Kiran, Mustafa Servet Husain, Farooq Department of Electronics and Communication Engineering Moradabad Institute of Technology Uttar Pradesh Moradabad244001 India Department of Electronics and Communication Engineering National Institute of Technology Karnataka Surathkal Karnataka Mangaluru575025 India Department of Computer Engineering Faculty of Engineering Konya Technical University Konya Turkey Department of Computer Engineering Faculty of Engineering Selcuk University Konya Turkey

A clinical ultrasound imaging plays a significant role in the proper diagnosis of patients because, it is a cost-effective and non-invasive technique in comparison with other methods. The speckle noise contamination caused by ultrasound images during the acquisition process degrades its visual quality, which makes the diagnosis task difficult for physicians. Hence, to improve their visual quality, despeckling filters are commonly used for processing of such images. However, several disadvantages of existing despeckling filters discourage the use of existing despeckling filters to reduce the effect of speckle noise. In this paper, two dimensional cuckoo search optimization algorithm based despeckling filter is proposed for avoiding limitations of various existing despeckling filters. Proposed despeckling filter is developed by combining fast non-local means filter and 2D finite impulse response (FIR) filter with cuckoo search optimization algorithm. In the proposed despeckling filter, the coefficients of 2D FIR filter are optimized by using the cuckoo search optimization algorithm. The quantitative results comparison between the proposed despeckling filter and other existing despeckling filters are analyzed by evaluating PSNR, MSE, MAE, and SSIM values for different real ultrasound images. Results reveal that the visual quality obtained by the proposed despeckling filter is better than other existing despeckling filters. The numerical results also reveal that the proposed despeckling filter is highly effective for despeckling the clinical ultrasound images. © Springer-Verlag GmbH Germany, part of Springer Nature 2018.

关键词： FIR filters

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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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An ultra efficient 2:1 multiplexer using bar-shaped pattern in atomic silicon dangling bond technology

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Journal of Supercomputing 2024年第13期80卷 18347-18364页

作者： Rasmi, Hadi Mosleh, Mohammad Jafari Navimipour, Nima Kheyrandish, Mohammad Department of Computer Engineering Dezful Branch Islamic Azad University Dezful Iran Department of Computer Engineering Tabriz Branch Islamic Azad University Tabriz Iran Department of Computer Engineering Faculty of Engineering and Natural Sciences Kadir Has University Istanbul Turkey Future Technology Research Center National Yunlin University of Science and Technology Douliou64002 Taiwan

As CMOS technology approaches its physical and technical limits, alternative technologies such as nanotechnology or quantum computing are needed to overcome the challenges of lithography, transistor scaling, interconnects, and miniaturization. This article introduces a novel nanotechnology that uses atomic-scale silicon dangling bonds (ASDB) to create high-performance, low-power, nanoscale logic circuits. DBs are atoms that can form basic logic gates on a silicon surface using a scanning tunneling microscope device. ASDB can also be an alternative to the existing complementary metal oxide semiconductor (CMOS) technology. The article also proposes a new bar-shaped pattern to design gates and logic circuits with ASDB nano tecnolgoy. The bar-shaped pattern improves the reliability of the output, reduces the area and power consumption, and solves the problem of interatomic energy effects of ASDB. The article demonstrates the efficiency of the bar-shaped pattern by implementing two-input gates such as AND, NAND, OR, NOR, XOR, XNOR, and a 2:1 multiplexer with ASDB. The article also uses a powerful tool called SiQAD to simulate and verify the performance of the proposed structures with ASDB. According to the simulation results, the proposed logic gates are more energy efficient, stable, and compact than the previous structures. They consume 35% and 24.34% less energy and have 14.18% more stability, respectively. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Logic gates

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Exploring Innovation: Artificial Intelligence (AI) in Pharmacy 7

Exploring Innovation: Artificial Intelligence (AI) in Pharma...

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7th International Conference on Inventive Computation Technologies, ICICT 2024

作者： Raymond, David Mankar, Divyani Gudadhe, Amit Faculty of Engineering And Technology Department of Computer Science And Medical Engineering Maharashtra Wardha India Faculty of Engineering And Technology Department of Basic Science And Humanities Maharashtra Wardha India

ISBN: (纸本)9798350359299

Artificial Intelligence (AI) has emerged as a disruptive force in the pharmaceutical industry, driving unprecedented breakthroughs across various domains. This article provides a comprehensive overview of the cutting-edge applications of AI in pharmacy, spanning medication safety, clinical decision support, personalized medicine, and drug discovery. AI is revolutionizing drug development processes, enabling precision pharmacy techniques, and enhancing clinical decision-making through Machine Learning, Deep Learning, and Natural Language Processing. Despite the potential for transformation, challenges such as moral dilemmas and legal restrictions persist. Nevertheless, the integration of AI will revolutionize pharmacy practice, leading to improved patient outcome and ushering in a new era of healthcare. © 2024 IEEE.

关键词： Deep learning

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Leveraging Context for Enhanced Emotion Recognition: A Study Using SSD with ResNet 1

Leveraging Context for Enhanced Emotion Recognition: A Study...

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1st International Conference on Software, Systems and Information technology, SSITCON 2024

作者： Oza, Yash Shah, Rushank Singh, Arhya Kanikar, Prashasti Nmims Mukesh Patel School of Technology Management and Engineering Computer Engineering Mumbai India Nmims Mukesh Patel School of Technology Management and Engineering Faculty Computer Engineering Mumbai India

ISBN: (纸本)9798350352931

The increasing interest in automated emotional state recognition systems presents significant potential for applications in human-machine interactions and monitoring. Nonetheless, conventional methods that concentrate on facial expressions and body language for emotion recognition often disregard the substantial variations stemming from cultural and situational contexts. This paper addresses the limitations of conventional emotion recognition methods, which often overlook cultural and situational context. We propose an extension to the system introduced in 'Context-Based Emotion Recognition using the EMOTIC Dataset' to classify and detect 19 out of 26 emotions. Our approach leverages Single Shot Detectors (SSD) like ResNet50 and ResNet-101 as backbones. Using a subset of EMOTIC dataset consisting of 9,000 images, our model, based on SSD with ResNet-50 and a batch size of 8, we achieved an 8% higher recall than the second-best model and a 35% improvement over the worst. We also address dataset bias and propose improved annotation metrics. This research highlights the critical role of context in emotion recognition and the potential of context-aware deep learning for human-computer interaction and monitoring systems. © 2024 IEEE.

关键词： Emotion Recognition

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