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Automated Bengali Sign Language Character Classification with Deep Learning Techniques

Automated Bengali Sign Language Character Classification wit...

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International Conference on Computing and Networking Technology (ICCNT)

作者： Tahmina Akter Tanjim Mahmud Tikle Barua Sultana Rokeya Naher Mohammad Shahadat Hossain Karl Andersson Dept. of Computer Science and Engineering Port City International University Chittagong Bangladesh Dept. of Computer Science and Engineering Rangamati Science and Technology University Rangamati Bangladesh Dept. of Computer Science and Engineering University of Information Technology and Sciences Dhaka Bangladesh Dept. of Computer Science and Engineering University of Chittagong Chittagong Bangladesh Cybersecurity Laboratory Luleå University of Technology Luleå Sweden

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Recognition of Bengali sign language characters is crucial for facilitating communication for the deaf and hard-of-hearing population in Bengali-speaking regions, which encompass approximately 430 million people worldwide. Despite the significant number of individuals requiring this support, research on Bengali sign language character recognition remains underdeveloped. This article presents a novel approach to categorize Bengali sign language characters using the Ishara-Lipi dataset, based on convolutional neural networks (CNNs) and pretrained models. We evaluated our approach using metrics such as accuracy, precision, recall, F1-score, and confusion matrices. Our findings indicate that the CNN model achieved the highest performance with an accuracy of 98%, followed by VGG19 with $\mathbf{94\%}$ and ResNet variants achieving around $\mathbf{88\%}$. The proposed model demonstrates robust and efficient classification capabilities, significantly bridging the gap in existing literature. This study holds substantial promise for enhancing assistive technology, thereby improving social inclusion and quality of life for Bengalispeaking deaf and hard-of-hearing individuals.

关键词： Measurement Deep learning Sign language Accuracy Assistive technologies Convolutional neural networks Character recognition

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A Multi-Routing Paths’ Exploration Algorithm for Multi-paired Communicating Vehicles’ Data Transmission Offloading using the Multi-access Edge Computing Architecture

A Multi-Routing Paths’ Exploration Algorithm for Multi-pair...

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Communication Systems (ECCS), European Conference on

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

ISBN: (数字)9798350377927

ISBN: (纸本)9798350377934

This work proposed a novel method for multiple communicating paired vehicles’ data transmission offloading using the Multi-access Edge Computing (MEC) technique. When two paired communicating vehicles are communicating with each other through cellular network’s Base Stations (BSs), the data transmission can be offloaded to the Cellular Vehicle-to-Vehicle (C-V2V) path that exists between these two vehicles using 5G NR’s sidelink communication; these two paired communicating vehicles can switch back to the Cellular Vehicle-to-Infrastructure (C-V2I) communication to communicate with each other when the corresponding C-V2V path is broken. Using the proposed method, the MEC architecture serves as a centralized computing mechanism to determine the availability of k-hop C-V2V paths for paired communicating vehicles’ data transmission offloading. Each vehicle periodically reports its context, such as position, speed, driving direction, and C-V2V sidelinks’ Channel Busy Ratios (CBRs), to the MEC server to derive feasible k-hop C-V2V data transmission offloading paths. The simulation result demonstrates that the proposed method has (i) better throughput compared to the method of relying solely on C-V2I communication through BSs and (ii) better throughput, higher offloading fraction and lower average data loss rate comparing with the other k-hop-limited CV2V data transmission offloading method.

关键词： Cellular networks Multi-access edge computing Vehicle-to-infrastructure Vehicular ad hoc networks Sidelink computer architecture Throughput Propagation losses Data communication Servers

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DragFly: Joint Threat Object Detection And UAV Trajectory Planning in Hostile Environments

DragFly: Joint Threat Object Detection And UAV Trajectory Pl...

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IEEE Conference on Vehicular Technology (VTC)

作者： Akkapatch Thouchamongkol Hong-Yi Chen Yan-Hao Wang Quan Tran Dinh Dai Van-Linh Nguyen Dept. of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Unmanned Aerial Vehicles (UAVs) have a wide range of capacities, including surveillance, rescue missions, geographi-cal mapping, and military uses. This work focuses on combining computer vision with route planning methods, namely DragFly, to ensure the safety of a UAV throughout its whole flying mission to a designated target. We use an advanced object detection algorithm to precisely identify the locations of obstacles and create an accurate geographical map. Two path-planning algorithms are introduced to improve flying safety. We enhance the A* algorithm to include searching in hazardous areas, allowing the UAV to stay a safe distance away from dangers such as anti-drones and preserve communication. Furthermore, our tangent point approach may provide extremely fast searching performance in small to medium map sizes. The evaluation results demonstrate that our approach can locate the shortest path in just 31.66 milliseconds without compromising safety.

关键词： Hazardous areas Trajectory planning Navigation Military computing Surveillance Object detection Autonomous aerial vehicles

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Improvisation of QoS in SDN-Frame Work for UAV Networks Using Dijkstra Shortest Path Routing Algorithm 1

Improvisation of QoS in SDN-Frame Work for UAV Networks Usin...

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1st IEEE International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023

作者： Mathapati, Mahantesh Nandihal, Priya Mishra, Priti Kotagi, Veeranna Dept.of Cse Bengaluru India Dayananda Sagar Academy of Technology and Management Dept of Computer Science and Engineering Bangalore India Information Science and Engineering Atria Institute of Technology Bengaluru India Nitte Meenakshi Institute of Technology Dept. of Ise Bengaluru India

ISBN: (纸本)9798350316469

This work presents a unique SDN-based Dijkstra shortest path routing algorithm for QoS improvisation in UAV Networks. It discusses the various problems pertaining to the networking of unmanned aerial vehicles in disaster rescue operations and unique networking algorithmic solutions to the problems. Involving the SDN technology in networks provides faster service delivery than the traditional technology, as it isolates the control plane and data plane. This SDN technology has the centralised governing management service on the distributed network that affords improved security. But, SDN with Wireless Sensor Network (WSN) does not provide enhanced Quality of Services (QoS) in sophisticated cloud computing (CC) applications. Across the research community, end-users seek to attain a QoS while accessing the cloud-based services depending on their knowledge in using today's technology. Therefore, this research study is aimed to prioritize the cloud application data without any delay from the normal data and also to provide the fastest communication using the SDN framework applying shortest path routing. The traditional networking infrastructure's speed, scalability, and agility are increased by the key functionality of SDN, which is used to intellectual the network information from the applications. Moreover, massive size data are managed and customized by using OpenContrail, which is a more responsive and scalable network. The QoS provided by the SDN with cloud-based services using shortest path, stimulates this research to apply the integrated technology in UAV. UAV can transfer the data through cloud service using SDN, in order to maintain a communication with remote experts. The proposed Shortest Path (SP) direction-finding algorithm provides appropriate deployment & connectivity to the modules of group of UAVs, also decreases time delay within the network. The simulation results reveal that the proposed technique is suitable and more effective to set up an emergency

关键词： Cloud Computing OpenStack Quality of Service Shortest Path Algorithm Software-Defined Networking UAV

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High Stability Marine Pollution Detection Model based on a Drone Platform

High Stability Marine Pollution Detection Model based on a D...

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International Conference on Wireless and Optical Communications ( WOCC)

作者： Lin Po-Lun Xiu-Zhi Chen Yen-Lin Chen Dept. of Computer Science & Information Engineering National Taipei University of Technology Taipei Taiwan

ISBN: (数字)9798331539658

ISBN: (纸本)9798331539665

Currently, unmanned aerial vehicles (UAVs) have a wide range of applications. One such application is the detection of marine pollution, for which numerous methods have been proposed. While validation on public datasets has shown promising results, our practical experience has revealed that the color of the sea can vary across different regions, leading to inaccurate detection results. This paper presents a marine pollution detection model that is highly stable and capable of accurately detecting pollution in various environments without requiring additional training data. Our evaluation results show that the proposed model improves the IoU by about 13% and 14%, and the F1-score by about 10% and 23.9% for ocean and marine pollution, respectively, compared to the baseline model on unseen domains, proving its effectiveness.

关键词： Wireless communication Pollution Image color analysis Marine pollution Oils Oceans Training data Feature extraction Stability analysis Optical fiber communication

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All-or-Nothing Concurrent Entanglement Routing

All-or-Nothing Concurrent Entanglement Routing

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IEEE International Conference on Communications (ICC)

作者： Ching-Ting Wei Kai-Xu Zhan Po-Wei Huang Wei-Ting Chang Jian-Jhih Kuo Dept. of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

Establishing entangled links by entangling and swapping can enable end-to-end teleportation, avoiding eavesdropping and facilitating the critical applications, such as quantum key distribution (QKD) service. For these promising applications, a specific number of data qubits should be transmitted (periodically) to meet the quality of service (QoS) requirements for each request. Otherwise, the network provider cannot earn the profit from the request. In this paper, we present a new optimization problem and propose a novel approximation algorithm to maximize the (expected) total profit under the constraint of network resources. Finally, extensive simulation results manifest that our algorithm can outperform the existing approaches by up to 46%.

关键词： Simulation Heuristic algorithms Qubit Quality of service Teleportation Approximation algorithms Routing

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A Novel Data Hiding Scheme based on Block Features Enhanced AMBTC 23

A Novel Data Hiding Scheme based on Block Features Enhanced ...

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Proceedings of the 2023 4th Asia Service sciences and Software engineering Conference

作者： Chia-Chen Lin Hizrawan Dwi Oka Enting Zhu Dept. of Computer Science and Information Engineering National Chin-Yi University of Technology Taiwan

ISBN: (纸本)9798400708534

In this paper, we first improve Chen et al.’s ternary representation-based Absolute Moment Block Truncation Coding (AMBTC), then we combine block features and AMBTC to design our novel block feature enhanced-AMBTC-based data hiding scheme called BFI-AMBTC-based DH scheme. In our scheme, AMBTC blocks are classified into three types: complex, smooth, and flat according to the distribution of pixels in a block. For each block type, we propose different data hiding strategies according to their unique features. Experiments confirm that our hybrid data hiding strategies work well. The image quality of stego images with our hybrid data hiding strategies not only has been significantly improved but also is much closer to that offered by the conventional AMBTC compared with other existing AMBTC-based data hiding schemes. In addition, the hiding capacity achieved by our BFI-AMBTC-based DH scheme is confirmed almost two times Ou and Sun's scheme.

关键词： Absolute Moment Block Truncation Coding Block classification Block feature Data hiding Image security

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The Comparison of Three Types’ Resource Allocation Approaches for Scalable Video Coding (SVC)-Based Multimedia's Multicast Broadcast Service (MBS)

The Comparison of Three Types’ Resource Allocation Approach...

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Electrics and computer (INTCEC), Interdisciplinary Conference on

作者： Chung-Ming Huang Shao-Chieh Hsu Dept. of Computer Science and Information Engineering National Chen Kung University Tainan Taiwan

ISBN: (数字)9798350349450

ISBN: (纸本)9798350349467

This work proposes the Utility-centric Scalable Video Coding (SVC)-based radio Resource Allocation (U-S-RA) method for Vehicular Users (VUs) using the no subgrouping approach for multimedia's Multicast Broadcast Service (MBS) in 5G cellular network. U-S-RA devises a utility function, which considers the bitrate of allocated Resource Block (RB), the number of VUs in a multimedia multicast group and the video bit rate that can be achieved, as pivot for resource allocation. To have the clear picture on the performance between the no subgrouping approach and the subgrouping approach, the proposed U-S-RA method is compared with two resource allocation methods that adopt the subgrouping approach. The first one adopts a threshold-based scheme for subgrouping; the second one focuses on maximizing the number of VUs receiving the higher video quality while maintaining the good spectral efficiency for subgrouping. The performance evaluation has the quantitative comparison based on some metrics for these three resource allocation approaches.

关键词： Digital multimedia broadcasting Video coding Performance evaluation Spectral efficiency Bit rate Streaming media Quality assessment

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Cybersecurity Threat Detection Using Deep Learning and Anomaly Detection Techniques

Cybersecurity Threat Detection Using Deep Learning and Anoma...

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Knowledge engineering and Communication Systems (ICKECS), International Conference on

作者： T. Rajendran N Mohamed Imtiaz K Jagadeesh Balaji Sampathkumar Department of Computer Science and Engineering Rajalakshmi Institute of Technology Chennai India Dept. of Information Science and Engineering Nagarjuna College of Engineering and Technology Bangalore India Dept. of Computer Science and Engineering Sri Venkateswaraa College of Technology Chennai India Dept. of Computer Science and Engineering Akshaya College of Engineering and Technology Coimbatore India

ISBN: (数字)9798350359688

ISBN: (纸本)9798350359695

Through the use of combined deep learning and anomaly detection approaches, this research investigates the area of cybersecurity threat detection. The study proves the framework’s extraordinary success in recognizing as well as mitigating diverse cyber dangers, including insider threats and zero-day attacks, through practical testing and case studies. The framework establishes itself as a proactive cybersecurity solution adaptive to the changing threat landscape due to its high accuracy of 95%, low amount of false positives 5%, and quick reaction times. The recommendations cover user training, scalability, regulatory compliance, including cross-disciplinary collaboration. Behavioral analysis, AI explainability, IoT security, and countering quantum computing concerns should be the main areas of future research. These revelations help the cybersecurity industry become more resilient and well-prepared. In this research investigation, experiments on threat detection were conducted using deep learning algorithms, with a specific focus on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The findings of the study reveal that a detection accuracy of 93% was achieved by CNN, while a higher accuracy of 96% in threat detection was exhibited by RNN.

关键词： Deep learning Training Accuracy Quantum computing Recurrent neural networks Threat assessment Convolutional neural networks

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Self Organized Anchor Group based Routing Protocol for IoT Initial Setup 17

Self Organized Anchor Group based Routing Protocol for IoT I...

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17th International Conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Gupta, Naveen Kumar Aggarwal, Apeksha Yadav, Rama Shankar Kumar Nagaria, Rajendra Dr B R Ambedkar National Institute of Technology Jalandhar Center of Energy and Environment Dept. of Information Technology Jalandhar India Jaypee Institute of Information Technology Dept. of CSE and IT Noida India Motilal Nehru National Institute of Technology Allahabad Department of Computer Science and Engineering Prayagraj India Motilal Nehru National Institute of Technology Allahabad Department of Electronics and Comm. Engineering Prayagraj India

ISBN: (纸本)9798331531195

Geographical routing approach relies on local geographic information and performs multi-hop routing with the help of local decisions. The nodes are represented by 3D coordinates as some real IoT networks may be deployed in high buildings, hilly areas, underground or underwater. The geographical routing protocols follow the greedy path and suffer from void node problem (VNP). The traditional recovery policies follow a longer path around the boundary nodes of the void region which may go out of energy quickly. Thus, this paper proposes the concept of anchor group and presents an efficient anchor group routing protocol (EAGR) for IoT networks. The anchor group is treated as a sub-destination region where a group of nodes behaves like sub-destinations, which bypass the boundary nodes of the void to minimize the path length and divide the network traffic, in case of void in the network. The paper is also focused on considering the residual energy in the contention-based next-hop selection process. The experimental work has been carried out in the OMNET++ simulator's INET framework and observed that the proposed method is outperforming existing protocols. Moreover, it has reported a longer network lifetime and is able to survive longer than other existing geographical routing protocols on high load. © 2025 IEEE.

关键词： Routing protocols

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