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Fuzzy-rule-decided small cell offloading for rate-adaptive SVC-DASH video streaming over the vehicle environment

computer Communications 2023年 212卷 1-20页

作者： Huang, Chung-Ming Wang, Han-I Dept. of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan

This paper proposed an SVC-DASH video streaming method over the vehicular environment based on the Multi-access Edge Computing (MEC) architecture. For the streaming concern, a control scheme using the Segment-Set-based buffer-aware bitrate adaptation with the backward quality's increment control was proposed;for the mobility concern, a Small Cell Video Streaming Offloading (SC–VSO) control scheme adopting the multiple attribute fuzzy-based decision for deciding whether it can offload the video streaming traffic from a macro cell to a small cell or not was proposed. To have the suitable bitrate adaptation and stable quality variation, three factors that the proposed streaming control scheme considers are (i) estimated bandwidth, (ii) buffer occupancy and (iii) quality variation. Since the vehicle is moving across many types of Base Stations (BSs), the proposed mobility control scheme can decide whether to have SC-VSO or not before vehicle X entering into the ahead small cell's signal coverage based on (i) the network situations of the corresponding macro and small cell and (ii) the reported context from vehicle X using the proposed fuzzy logic mechanism. The performance evaluation results shown that the proposed method has the higher video quality and better quality stability for video streaming over the vehicle environment. © 2023 Elsevier B.V.

关键词： Video streaming

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SES: Smart Education System 5

SES: Smart Education System

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5th International Conference on computer and Applications, ICCA 2023

作者： Alyammahi, Wadha Alrabaee, Saed United Arab Emirates University College of Information Technology Dept. of Computer and Network Engineering Dept. of Information Systems and Security AlAin United Arab Emirates

ISBN: (纸本)9798350303254

Responding to inefficiencies in traditional classroom management methods, this paper proposes an innovative, technology-driven approach to enhance educational processes. Central to our proposal is the development of a facial recognition system designed for efficient student attendance tracking, thus eliminating time-consuming roll calls. Additionally, we plan to introduce interactive whiteboard features to enrich classroom dynamics between students and faculty. However, our approach extends beyond mere attendance tracking and interactive learning. We aim to launch a Program Learning Outcomes (PLO) and Course Learning Outcomes (CLO) mapper. Leveraging Natural Language Processing (NLP) techniques, this tool will auto-align CLOs with PLOs, facilitating a more efficient curriculum development process. We also suggest implementing a feature powered by YOLOv5 to monitor and assess student attention in the classroom. Our comprehensive suite of tools is designed to equip educators with resources to refine their teaching strategies and boost student learning outcomes. By integrating facial recognition for attendance, interactive whiteboard features, NLP-based CLO/PLO mapping, and attention monitoring, we aspire to provide a robust solution enabling educators to adapt their teaching methods to students' unique needs. © 2023 IEEE.

关键词： Students

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DDM-YOLOv8s for Small Object Detection in Remote Sensing Images 7

DDM-YOLOv8s for Small Object Detection in Remote Sensing Ima...

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7th International Conference on Machine Learning and Natural Language Processing, MLNLP 2024

作者： Xi, Yangli Qu, Dan Du, Liming Zhengzhou University Dept. School of Cyberspace Security Henan Zhengzhou China Information Engineering University Dept. School of Information Systems Engineering Henan Zhengzhou China

ISBN: (纸本)9798350354973

In order to solve the problem of low accuracy of remote sensing target detection caused by insufficient feature representation, complex background and diversified scales in remote sensing image target detection task, a remote sensing image target detection algorithm based on DDM-YOLOv8s (DySample DASI-MODSConvYOLOv8s) model was proposed. First, a super lightweight and efficient dynamic upper sampler DySample is used to improve the image resolution of the algorithm without adding additional burden. Secondly, the new C2f_DASI module is constructed by using the dimensional awareness selective integration module DASI and C2f, and the adaptive channel selection and fusion are realized in the feature fusion module, which effectively solves the complex background problem in remote sensing images;Finally, the head part is redesigned by Maintaining the Original information - dept. Separable Convolution MODSConv, which maintains as much feature layer information as possible before prediction, so that the extracted features contain more correlation information, greatly improving the detection accuracy and speed. The experimental results on RSOD datasets show that the test mAP of the improved YOLOv8s algorithm is 94.5%, which proves that this method can effectively improve the detection accuracy of small targets in remote sensing images. © 2024 IEEE.

关键词： Target tracking

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Delving into Potential Asymmetric Cryptographic Algorithms for the Post-Quantum Era 25

Delving into Potential Asymmetric Cryptographic Algorithms f...

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25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Juraev, Gayrat U. Mavlonov, Alisher B. Dept. Information Security National University of Uzbekistan Tashkent Uzbekistan Dept. Computer Science Urgench State University Urgench Uzbekistan

ISBN: (纸本)9798350389234

In this paper we will look at how quantum computers solve problems used in modern cryptographic systems, and what post-quantum cryptographic systems exist. We focus on the scheme, that developed in the direction of multivariate cryptography. Our paper presents a symmetric cryptosystem in a finite field utilizing a matrix Amxn and its right inverse Bnxm for m > n. This property of matrices, particularly evident when the dimensions are equal m = n, is actively used in AES. This utilization involves matrix transformations integral to the SubBytes() and InvSubBytes() functions. Moreover, a similar design principle is employed in the O'zDSt 1105:2006 data encryption algorithm, where it constitutes essential components of the AralashHolat() and TesAralashHolat() transformations. Additionally, we introduce a one-way function based on a special matrix with a zero determinant in a finite field, a concept not currently existing in asymmetric cryptography within our scheme. This approach fortifies defenses, diversifies cryptosystems, and addresses current vulnerabilities. We delve into matrix based asymmetric algorithms in finite fields, seeking to fortify our digital realm against the quantum unknown. This research promises post-quantum security, aligns with existing cryptographic abstractions, and fosters agility in an evolving landscape. © 2024 IEEE.

关键词： Encryption algorithms

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Exploring Taiwan Monkeypox Virus (MPOX/MPXV) Clade IIb by Establishing Dataset and Clustering by using Sequence and Image Similarity Comparisons 24

Exploring Taiwan Monkeypox Virus (MPOX/MPXV) Clade IIb by Es...

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7th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2024

作者： Wang, Tzung-Wei Li, Ming-Kuang Lou, Der-Chyuan Lin, Chun-Yuan Dept. of Electronics Engineering Chang Gung University Taoyuan Taiwan Dept. of Computer Science and Information Engineering Asia University Taiwan Taichung Taiwan Dept. of Computer Science and Information Engineering Chang Gung University Taoyuan Taiwan

ISBN: (纸本)9798400717437

Based on the MPXV Clade IIb cases in Taiwan, 175 segments were identified from OPG001 to OPG210. The first focus of this paper is on sequence analysis of the MPXV cases in Taiwan, detailing the procedures, including semi-automated segmentation and dataset creation from a large number of MPXV Clade IIb nucleotide sequences found in the NCBI and GISAID databases. The second feature highlights the pioneering establishment of an MPXV Clade IIb RNA 2nd structure image dataset in Taiwan, as such a dataset does not yet exist globally. The third characteristic involves the use of unsupervised learning methods for the rapid clustering of MPXV Clade IIb RNA 2nd structure images. This approach allows not only for the quick detection and clustering of unknown MPXV Clade IIb cases but also for the rapid identification of new MPXV mutations and structural changes. Compared to traditional sequence analysis, this new hybrid systematic method significantly enhances overall efficiency, improving processing speed by at least 24 hours when handling the alignment of 10 MPXV sequences from Taiwan. Future plans include using this prototype analytical model and method to accelerate the analysis of critical lethal factors in MPXV Clade IIb, such as D14L, ultimately helping biologists reduce the time required for analysis and antiviral drug development. © 2024 Copyright held by the owner/author(s).

关键词： Nucleotides

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Optimizing Network Traffic Prediction for Network Digital Twins: The Impact of Look-Back Period and Forecast Horizon

Optimizing Network Traffic Prediction for Network Digital Tw...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Sengendo, John Granelli, Fabrizio University of Trento Dept. of Information Engineering and Computer Science Trento Italy

ISBN: (纸本)9798350368369

Over recent years, many advancements in networks have taken place with now the advent of 6G. With these growing advancements, challenges in managing networks also emerge. Network Digital Twins (NDTs) is one of the potential technology in solving many of these challenges because of the capability to virtually replicate the physical network elements. One of the key challenges is predicting network traffic especially with the exponentially growing number of devices in the network. In this paper, we study and show how varying the 'look-back period' and 'forecast horizon' significantly affects traffic predictions. Look-back period or window size is how much of the historical data is used by a prediction algorithm to make predictions. Forecast horizon is how far in the future we can predict. These highly impact how accurately traffic is predicted in networks and as well significantly determine how well Digital Twins (DTs) for networks accurately reflect traffic of the physical network. © 2025 IEEE.

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A framework for Anti-Money Laundering based on AI and SATP in CBDC Transactions

A framework for Anti-Money Laundering based on AI and SATP i...

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2025 IEEE International Conference on Big Data and Smart Computing, BigComp 2025

作者： Kim, Soyoung Lee, Harang Kim, Keecheon Computer Science Konkuk University Smart ICT Convergence Dept. IT Convergence and Information Security Seoul Korea Republic of

Central Bank Digital Currency (CBDC) is emerging as a pivotal element of next generation financial innovation, with the digitalization of financial transactions accelerates. Many countries are actively exploring the implementation of CBDCs for retail and wholesale settings and their potential in international financial transactions. Regulatory compliance has become paramount in these evolving payment systems as concerns about money laundering have grown. This paper highlights the need for real-time transaction monitoring and suspicious activity detection systems while proposing an efficient approach to balance privacy protection and regulatory compliance. In this study, we introduce an integrated architecture that combines CBDCs with Secure Asset Transfer Protocol (SATP) systems. It utilizes AI-based prevention and detection techniques. This approach aims to enhance privacy over existing approaches, tailored to international transactions and large financial institutions, while improving the effectiveness of anti-money laundering measures. © 2025 IEEE.

关键词： Bitcoin

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Leveraging Digital Twins for ON/OFF-LINE Blockchain Networks: A Resilient Framework for Drone and IoT Communication 39

Leveraging Digital Twins for ON/OFF-LINE Blockchain Networks...

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39th International Conference on information Networking, ICOIN 2025

作者： Park, Seong Su Kim, Ki-Hyung Ajou University Suwon Dept. Computer Engineering Korea Republic of Ajou University Suwon Dept. Cyber Security Korea Republic of

ISBN: (纸本)9798331506940

In this paper, we propose a novel framework for leveraging digital twins to enhance ON/OFF-LINE blockchain networks in drone and IoT communication systems. The proposed solution addresses critical challenges in environments where internet connectivity is intermittent or restricted, such as construction sites, remote areas, or military operations. We present a resilient communication architecture that integrates Digital Twins (DTs) to mirror the state of offline blockchain nodes in the cloud, enabling efficient synchronization and reducing data conflicts when transitioning between online and offline states. The framework also introduces a method for efficient data management and secure, decentralized identity verification by using packaged certification with DID documents and selfcontained verifiable credentials. By maintaining a synchronized digital twin in the cloud, the proposed system ensures that offline nodes can operate independently while seamlessly integrating updates when connectivity is restored. © 2025 IEEE.

关键词： Signaling

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A survey of lightweight block cipher

A survey of lightweight block cipher

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2024 International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, AHPCAI 2024

作者： Lv, Weidong Chen, Yufei Liu, Jia Dept. of Information Security Naval Univ. of Engineering Hubei Province Wuhan430033 China

ISBN: (纸本)9781510685840

Compared with traditional computing devices, IoT devices are often smaller in size, resulting in weaker battery power, memory, and computing power. Additionally, IoT devices have a higher frequency of data exchange and require high-speed computation on limited platforms. Traditional cryptographic algorithms are unable to handle this task, and lightweight cryptographic algorithms have become the optimal choice for IoT devices. This paper takes a thorough sight into lightweight block cipher development, elaborates on six structures of the algorithms, and analyzes their indicators based on different implementation methods. Finally, the attack research status and implementation performance on both soft/hardware platform of each algorithm are reviewed, and the efficiency of their software and hardware implementation is compared. © 2024 SPIE.

关键词： Encryption algorithms

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Multispectral Images and IoT Based Tea Plantation Monitoring: A Proposed System Architecture 5

Multispectral Images and IoT Based Tea Plantation Monitoring...

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5th International Conference on Advanced Research in Computing, ICARC 2025

作者： Kariyawasam, K.P.W.D.V. Kahandagamage, P.N. Fernando, M.R.R. Fernandopulle, J.M. Jayasinghearachchi, Vishan Dissanayaka, Kapila Dept. of Software Engineering Sri Lanka Dept. of Information Technology Sri Lanka Dept. of Computer Science Sri Lanka

ISBN: (纸本)9798331530983

In recent years, the Sri Lankan tea industry has fallen behind its competitors in the global tea market. This decline is caused by the challenges in productivity and resource management due to the limitations of traditional crop monitoring methods. This study presents a prototype system architecture that integrates multispectral imagery and IoT technologies to enhance plantation monitoring. The proposed system uses drones to capture high-resolution multispectral images and IoT devices to collect real-time environmental data, providing a comprehensive approach to assessing plant yield and detecting stress. Built on a hexagonal architecture, the system emphasizes modularity, reliability, and scalability by ensuring a clear separation of core functionalities from external components. This design facilitates easy adaptation to various crop types and agricultural contexts, enabling flexibility in deployment and use. This flexible framework can serve as a blueprint for improving decision-making and management practices across diverse plantation environments. © 2025 IEEE.

关键词： Risk perception

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