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Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends

IET COMMUNICATIONS 2022年第5期16卷 400-420页

作者： Elfatih, Nada M. Hasan, Mohammad Kamrul Kamal, Zeinab Gupta, Deepa Saeed, Rashid A. Ali, Elmustafa Sayed Hosain, Md. Sarwar Department of Electrical and Electronics Engineering Red Sea University Port Sudan Sudan Faculty of Information Science and Technology The National University of Malaysia (UKM) Bangi Selangor Malaysia Amity Institute of Information Technology Amity University Uttar Pradesh Delhi NCR India Department of computer Engineering College of Computers and Information Technology Taif University P.O. Box 11099 Taif 21944 Saudi Arabia Department of Electronics Engineering Sudan University of Science and Technology Khartoum Sudan Department of Information and Communication Engineering Pabna University of Science and Technology Pabna 6600 Bangladesh

The Internet of Vehicles (IoV) and Vehicle-to-Everything (V2X) concept have emerged from IoT technology, which refers to connecting many vehicles with various applications to the internet. The 5G new radio is based on a cloud-radio access network (CRAN), considered as the communication infrastructure for IoV. However, due to the significant challenges and issues, researchers have been working on IoV and V2X. One of the main challenges for V2X is resource allocation and management for a high-speed vehicular environment. This paper discusses and provides complete detail for resource allocation and management for IoV over 5G RAN networks focusing on artificial intelligence techniques. The paper also presented reviews on integrating the multi-layers of vehicular network architecture with AI strategy to identify advancement and future directions for resource allocation and management issues.

关键词： Internet of Things Vehicle to Everything artificial intelligence techniques resource allocation IoT technology IoV radio access networks vehicle resource management V2X 5G mobile communication Internet of Vehicles communication infrastructure artificial intelligence vehicular ad hoc networks 5G RAN networks 5G new radio high-speed vehicular environment 5G networks resource management telecommunication computing

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Computation of 2D Discrete Geometric Moments Through Inclusion-Exclusion 3rd

Computation of 2D Discrete Geometric Moments Through Inclusi...

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3rd International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2022

作者： Čomić, Lidija Magillo, Paola Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia Department of Computer Science Bioengineering Robotics and Systems Engineering University of Genova Genova Italy

ISBN: (纸本)9783031090363

We propose a new formula for computing discrete geometric moments on 2D binary images. The new formula is based on the inclusion-exclusion principle, and is especially tailored for images coming from computer art, characterized by a prevalence of horizontal and vertical lines. On the target class of images, our formula reduces the number of pixels where calculations are to be performed. © 2022, Springer Nature Switzerland AG.

关键词： Binary images

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MIN-DAS: The Digital Asset System Based on MIN Architecture 4

MIN-DAS: The Digital Asset System Based on MIN Architecture

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4th International Conference on Communication Technology and Information Technology, ICCTIT 2024

作者： Chen, Rui Li, Hui Li, Wuyang Yu, Yimin Kaili, Shao Li, Kedan Peking University Shenzhen Graduate School Shenzhen China University of Yunnan Finance and Economics Information School Kunming China Huanghe Science and Technology University Faculty of Engineering Zhengzhou China University of Illinois Urbana-Champaign Department of Computer Science United States

ISBN: (纸本)9798331528973

In this paper, we propose an innovative digital asset system based on the MIN (MIN-DAS), which integrates PPoV consortium blockchain technology along with NFT identifiers, achieving the rights confirmation, decentralization, and high security for digital asset trading. We first deployed the MIN-DAS within the high-security MIN network and designed a built-in MIN-VPN security tunnel, enabling end-to-end communication encryption, thereby significantly bolstering transaction security. Subsequently, we adopted the PPoV consortium blockchain as the core processing engine, greatly increasing the speed of transaction processing to accommodate large-scale transaction demands. Moreover, MIN-DAS supports stablecoin transactions, effectively mitigating risks stemming from cryptocurrency market fluctuations. MIN-DAS provides a secure and efficient solution for digital asset trading. Our experimental findings reveal that, compared to existing traditional digital asset platforms, MIN-DAS demonstrates significant superiority in both performance and security. © 2024 IEEE.

关键词： Smart contract

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Adaptive Quantum and Graph-Attentive Security Framework for DoS Attack Mitigation in VANETs 2

Adaptive Quantum and Graph-Attentive Security Framework for ...

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2nd International Conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Anjum, Asma Rao, P. S. V. Srinivasa Sindhu, M. Bhatt, Pooja Priya, M.R. Maranan, Ramya HKBK College of Engineering Department of Computer Science and Engineering Karnataka Bengaluru560045 India Joginpally B R Engineering College Department of Computer Science and Engineering Telangana Hyderabad500075 India R.M.K Engineering College Department of Computer Science and Business Systems Tamil Nadu Thiruvallur601206 India Parul institute of Engineering and Technology Parul University Computer Science and Engineering Faculty of Engineering and Technology Post Limda Gujarat 391760 India NIE First Grade College Department of Computer Science Karnataka Mysuru570008 India Saveetha School of Engineering SIMATS Department of Research and Innovation Tamil Nadu Chennai602105 India

ISBN: (纸本)9798331505745

Vehicular Ad Hoc Networks (VANETs) are considered crucial for real-time vehicle-to-vehicle communication, which in turn enhances the efficiency of traffic and road safety. VANETs are very vulnerable to Denial-of-Service (DoS) attacks, which seriously disrupt communication and degrade network performance. This paper introduces a high-performance neural network-based detection and prevention mechanism that can effectively counter DoS attacks. The proposed method is initiated with the real-time monitoring of the network. Data collection and preprocessing through the Adaptive Self-Guided Loop Filter (ASGLF) are used to filter out noise from the data. The Fast Hybrid Vision Transformer (FHVT) conducts feature extraction for network traffic to effectively preserve the spatial and temporal relationships. Using the Reflecting Equivariant Quantum Neural Network (REQNN) integrated with Heterogeneous Edge-Enhanced Graph Attention Network (HEEGAT) ensures timely anomaly detection accuracy of attacks. Subtraction-Average-Based Optimizer (SAO) optimizes the detection parameters to effectively utilize resources. The experimental results have shown accuracy in the detection of DoS attacks as 99.9% with a PDR of 99.9% and also improved throughput efficiency by 99.8%. These results validate the effectiveness of the proposed model in securing VANETs from DoS attacks, offering uninterrupted network availability and improved vehicular communication security for intelligent transportation systems. © 2025 IEEE.

关键词： Advanced driver assistance systems

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FACE SPOOFING DETECTION TECHNOLOGY USING DEEP LEARNING

arXiv

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arXiv 2025年

作者： Najeebullah Salman, Maaz Swati, Zar Nawab Khan Department of Computer Science Faculty of Natural Science and Engineering KIU Gilgit Pakistan Pukyong National University Korea Republic of

Digital image spoofing has emerged as a significant security threat in biometric authentication systems, particularly those relying on facial recognition. This study evaluates the performance of three vision-based models, MobileNetV2, ResNET50, and Vision Transformer (ViT), for spoof detection in image classification, utilizing a dataset of 150,986 images divided into training (140,002), testing (10,984), and validation (39,574) sets. Spoof detection is critical for enhancing the security of image recognition systems, and this research compares the models’ effectiveness through accuracy, precision, recall, and F1 score metrics. Results reveal that MobileNetV2 outperforms other architectures on the test dataset, achieving an accuracy of 91.59%, precision of 91.72%, recall of 91.59%, and F1 score of 91.58%, compared to ViT’s 86.54%, 88.28%, 86.54%, and 86.39%, respectively. On the validation dataset, MobileNetV2, and Vision Transformer (ViT) excel, with MobileNetV2 slightly ahead at 97.17% accuracy versus ViT’s 96.36%. MobileNetV2 demonstrates faster convergence during training and superior generalization to unseen data, despite both models showing signs of overfitting. These findings highlight MobileNetV2’s balanced performance and robustness, making it the preferred choice for spoof detection applications where reliability on new data is essential. The study underscores the importance of model selection in security-sensitive contexts and suggests MobileNetV2 as a practical solution for real-world deployment. © 2025, CC BY.

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Measuring Method for Gloss Unevenness with Three Directional Lights

Measuring Method for Gloss Unevenness with Three Directional...

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London Imaging Meeting, LIM 2023

作者： Inoue, Shinichi Igarashi, Yoshinori Hoshi, Takeyuki Satoh, Toshifumi Faculty of Engineering Tokyo Polytechnic University Kanagawa Japan Department of Computer Science College of Engineering Nihon University CHUO PRECISION INDUSTRIAL CO. LTD Fukushima Japan

ISBN: (纸本)9780892083633

In this paper, we introduce the analysis for gloss unevenness by using developed multiple directional incident lights optics. Gloss unevenness is strongly related to recognition of material texture. However, it looks different depending on the angles, so it has been difficult to measure quantitatively. The gloss unevenness caused by surface roughness is able to analyze by the distribution of normal on the surface. We have developed the optical system that simultaneously illuminates with light from three different directions, angles, and captures images of gloss unevenness in one shot. We confirmed that the normal distribution of the surface can be estimated by analyzing the image. This proposed method can not only measure the gloss unevenness image, but also estimate the shape of the surface. As an application of this gloss unevenness observation technology, it is also possible to detect of scratches and coating unevenness in industrial quality control. © 2023 Society for Imaging science and Technology.

关键词： Optical systems

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An Improved Technique for Preliminary Diagnosis of COVID-19 via Cough Audio Analysis 4th

An Improved Technique for Preliminary Diagnosis of COVID-1...

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4th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2021

作者： Pandhi, Tanya Kapoor, Teghdeep Gupta, Bharat Department of Computer Science and Engineering Jaypee Institute of Information Technology Uttar Pradesh Noida201309 India Faculty of Computer Science and Engineering Jaypee Institute of Information Technology Uttar Pradesh Noida201309 India

ISBN: (纸本)9783031070044

Humanity has suffered catastrophically due to the COVID-19 pandemic. One of the most reliable diagnoses of COVID-19 is RT-PCR (Reverse-Transcription Polymer Chain Reaction) testing. This method, however, has its limitations. It is time-consuming and requires scalability. This research work carries out a preliminary prognosis of COVID-19, which is scalable and less time-consuming. The research carried out a competitive analysis of four machine learning models namely, Multilayer Perceptron, Convolutional Neural Networks, Recurrent Neural Networks with Long Short-Term Memory, and VGG-19 with Support Vector Machines. Out of these models, Multilayer Perceptron outperformed with higher specificity of 94.5% and accuracy of 96.8%. The results show that Multilayer Perceptron was able to distinguish between positive and negative COVID-19 coughs by a robust feature embedding technique. © 2022, Springer Nature Switzerland AG.

关键词： Multilayer neural networks

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Scalable high-repetition-rate sub-half-cycle terahertz pulses from spatially indirect interband transitions

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Light(science & Applications) 2022年第6期11卷 1304-1311页

作者： Christian Meineke Michael Prager Johannes Hayes Qiannan Wen Lukas Zheyi Kastner Dieter Schuh Kilian Fritsch Oleg Pronin Markus Stein Felix Schafer Sangam Chatterjee Mackillo Kira Rupert Huber Dominique Bougeard Department of Physics University of Regensburg93040 RegensburgGermany Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMl 48109USA Faculty of Electrical Engineering Helmut Schmidt University22043 HamburgGermany Institute of Experimental Physics I Justus Liebig University Giessen35392 GiessenGermany

Intense phase-locked terahertz(THz)pulses are the bedrock of THz lightwave electronics,where the carrier field creates a transient bias to control electrons on sub-cycle time *** applications such as THz scanning tunnelling microscopy or electronic devices operating at optical clock rates call for ultimately short,almost unipolar waveforms,at megahertz(MHz)repetition ***,we present a flexible and scalable scheme for the generation of strong phase-locked THz pulses based on shift currents in type-ll-aligned epitaxial semiconductor *** measured THz waveforms exhibit only 0.45 optical cycles at their centre frequency within the full width at half maximum of the intensity envelope,peak fields above 1.1 kVcm^(-1) and spectral components up to the mid-infrared,at a repetition rate of 4 *** only positive half-cycle of this waveform exceeds all negative half-cycles by almost four times,which is unexpected from shift currents *** detailed analysis reveals that local charging dynamics induces the pronounced positive THz-emission peak as electrons and holes approach charge neutrality after separation by the optical pump pulse,also enabling ultrabroadband *** unipolar emitters mark a milestone for flexibly scalable,next-generation high-repetition-rate sources of intense and strongly asymmetric electric field transients.

关键词： pump repetition cycle

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The Essence of Perceived Compatibility and Behavioral Intention in Mobile Money Use

The Essence of Perceived Compatibility and Behavioral Intent...

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2024 International Conference on Advanced Information Scientific Development, ICAISD 2024

作者： Susanti, Leni Mohamad, Siti Hajar Savitri, Mila Andria Saputra, Karen Etania Alamsyah, Doni Purnama Setiadi, Ahmad Bina Nusantara University Binus Business School Entrepreneurship Department Jakarta Indonesia Management and Science University Department of Business Management and Law Selangor Malaysia Bina Nusantara University School of Design Interior Design Department Jakarta Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta Indonesia Universitas Bina Sarana Informatika Faculty of Information Technology Software Engineering Department Jakarta Indonesia

ISBN: (纸本)9798350392036

Today, financial technology is a part of consumer needs. Mobile payments are used to support daily transactions, so a study of factors that can support behavioral intention and mobile money use is conducted. This study examines the support of digital literacy, perceived security, and perceived compatibility of mobile payments in increasing behavioral intention and mobile money use. The research was conducted on mobile payment users in Bandung City (Indonesia), and 416 research participants were asked using a questionnaire. The research was conducted using a quantitative survey and was processed using the SmartPLS tool. Two tests, namely, the PLS Algorithm and Bootstrapping, were used to test the research model. Next, the research hypothesis testing was used to explain the results. The research results found positive support from digital literacy, perceived security, and perceived compatibility on mobile payment behavioral intention. However, only perceived compatibility can directly increase the use of mobile money. In line with the hypothesis test, behavioral intention can support increased mobile money use by digital payment users. The research findings explain the ability of behavioral intention to mediate support for digital literacy, perceived security, and perceived compatibility in mobile money use. © 2024 IEEE.

关键词： Mobile commerce

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Validity and Reliability of Persian Version of Cyber-Bullying /Victimization Experience Questionnaire (CBVEQ) Among Iranian Adolescents

International Journal of Bullying Prevention

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International Journal of Bullying Prevention 2024年 1-12页

作者： Nooripour, Roghieh Hosseinian, Simin Ghanbari, Nikzad Wisniewski, Pamela Sikström, Sverker Department of Counseling Faculty of Education and Psychology Alzahra University Tehran Iran Faculty of Education and Psychology Shahid Beheshti University (SBU) Tehran Iran Department of Computer Science Faculty Fellow Flowers Family in Engineering Vanderbilt University Nashville United States Cognitive Psychology Chair of the Cognitive Division Department of Psychology Lund University Lund Sweden

This study aimed to measure validity and reliability of the Persian version of the Cyber-Bullying/Victimization Experience Questionnaire (CBVEQ) among Iranian adolescents. This cross-sectional validation study was conducted on Iranian adolescents between January 2022 and September 2022. Online questionnaires were completed by a total of 1439 Iranian high school students, with an age range of 14–18 years (M = 15.93 years, SD = 1.43). Participants completed Cyber-Bullying/Victimization Experience Questionnaire (CBVEQ), Online Disinhibition, Sensation Seeking, Empathy, and School Connectedness questionnaires. The validity and reliability of the CBVEQ were assessed through measures including Cronbach's alpha, construct validity via Confirmatory Factor Analysis (CFA), and evaluations of divergent and convergent validity. The CFA indicated that a two-factor model provides a good fit for the data: (_sbX² = 3011.31 (p < 0.01);SRMR = 0.06;CFI = 0.96;NFI = 0.96;IFI = 0.96;PNFI = 0.86;GFI = 0.83;RMSEA = 0.088). Cronbach’s alpha coefficient for the self-escapism was 0.89. There was a significant positive relationship between CBVEQ with online disinhibition (r = 0.47;P < 0.01) and sensation seeking (r = 0.44;P < 0.01). The finding showed significant negative relationship between CBVEQ score with school connectedness (SC) (r = -0.35;P < 0.01), and empathy (r = -0.42;P < 0.01). In addition, the findings have shown a relationship between CBVEQ and maternal educational status. Iranian researchers and specialists can use this scale for research or assessment purposes in Iranian adolescents to expand the existing knowledge about preventing and reducing cyberbullying. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Adolescent Cyber Bullying Cyber Victimization Measurement Validity

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