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International Artificial Intelligence and Data Processing Symposium (IDAP)

作者： Raza Mukhlis Saied Salem Hyunwook Kwon Jamil Hussain Ahmet Arif Aydin Mugahed A. Al-Antari Department of Artificial Intelligence and Data Science College of AI Convergence Sejong University Seoul Korea Department of Computer Engineering Faculty of Engineering Inonu University Malatya Turkey

ISBN: (数字)9798331531492

ISBN: (纸本)9798331531508

Generating textual interpretability using recent advancements in large language models (LLMs) is crucial for enhancing the efficiency of comprehensive computer-aided diagnosis (CAD) systems. This improves transparency between medical staff, intelligent CAD systems, and end-users by creating a trustworthy and effective intermediate medical diagnosis environment. In this paper, an innovative explainable throughout CAD system is introduced, designed to predict diseases from Chest X-rays (CXR) in a comprehensive scenario. The primary goal is to undertake multiple tasks that reduce the burden on medical staff and enrich CAD outcomes, including classification, visual explanations (heatmaps), and textual report generation. The proposed CAD system is developed through eight key steps: Data Collection and Annotation, Data Preparation, Text Vectorizations (Indexing), Visual Encoder, RAG-Fusion, Structural Prompt, Xai LLmTextual Reasoning (LLM Model), and Final Output (LLM textual report, image classification, and heatmap localization). The ai-based CAD system is trained and evaluated using the public benchmark MIMIC-CXR dataset with 14 different classes. The classification performance achieved an overall accuracy of $70 \%$, precision of $70 \%$, and F1-score of $0.60 \%$, while for text report generation, the system obtained an average BERTScore precision of 0.83, RougeL 0.16, and a Meteor score of 0.28. These promising results suggest the potential for further improvement of the CAD system and its applicability to real-world medical tasks.

关键词： Heating systems Location awareness Visualization Solid modeling Accuracy Pulmonary diseases Data models Meteors Medical diagnostic imaging X-ray imaging

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Biometric-Based Access Control Systems with Robust Facial Recognition in IoT Environments 3

Biometric-Based Access Control Systems with Robust Facial Re...

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3rd IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, INCOS 2024

作者： Satish Babu, B.V. Manoranjini, J. Changala, Ravindra Aarif, Mohd Mary, S. Suma Christal Raj, I Infant Prasad v Potluri Siddhartha Institute of Technology Department of It Vijayawada India Chaitanya Bharathi Institute of Technology Department of Ai & Ml Hyderabad India Guru Nanak Institutions Technical Campus Department of Information Technology Hyderabad India Associate Editor-Publishing Global Research Network Noida India Panimalar Engineering College Department of Information Technology Poonamalle Chennai India K. Ramakrishnan College of Engineering Department of Computer Science and Engineering Tamil Nadu Trichy India

ISBN: (纸本)9798350361186

The integration of biometric-based access control systems with robust facial recognition technology within Internet of Things (IoT) environments holds paramount significance in addressing contemporary security challenges. The novelty of the research endeavours to contribute to this critical area by investigating and implementing a novel approach, employing Convolutional Neural networks (CNN) for facial classification within the biometric framework. The significance of this study lies in its potential to enhance security measures in IoT environments, ensuring reliable and efficient access control. Previous attempts at integrating facial recognition into IoT have encountered notable challenges, including suboptimal accuracy, vulnerability to adversarial attacks, and scalability issues. This research builds upon these prior issues by introducing CNN for facial classification, leveraging its capabilities in image processing and pattern recognition to achieve enhanced accuracy and resilience against potential security threats. The novelty of the study is underscored by the application of CNN within the biometric context of IoT, offering a cutting-edge solution tailored to the intricacies of interconnected devices. Experiments conducted on benchmark datasets showcase the promising capabilities of the proposed system, with face recognition accuracies reaching an impressive 98%. These results underscore the potential of this research to significantly advance the state-of-the-art in biometric-based access control, particularly within the context of IoT environments. The utilization of CNN introduces a pioneering element, contributing to the evolution of secure and efficient access control solutions in the era of IoT. © 2024 IEEE.

关键词： Biometrics

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WebSRC: A Dataset for Web-Based Structural Reading Comprehension

WebSRC: A Dataset for Web-Based Structural Reading Comprehen...

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2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021

作者： Chen, Xingyu Zhao, Zihan Chen, Lu Jiabao, J.I. Zhang, Danyang Luo, Ao Xiong, Yuxuan Yu, Kai X-LANCE Lab Department of Computer Science and Engineering MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai Jiao Tong University Shanghai China State Key Lab of Media Convergence Production Technology and Systems Beijing China

ISBN: (纸本)9781955917094

Web search is an essential way for humans to obtain information, but it's still a great challenge for machines to understand the contents of web pages. In this paper, we introduce the task of structural reading comprehension (SRC) on web. Given a web page and a question about it, the task is to find the answer from the web page. This task requires a system not only to understand the semantics of texts but also the structure of the web page. Moreover, we proposed WebSRC, a novel Web-based Structural Reading Comprehension dataset. WebSRC consists of 400K question-answer pairs, which are collected from 6.4K web pages. Along with the QA pairs, corresponding HTML source code, screenshots, and metadata are also provided in our dataset. Each question in WebSRC requires a certain structural understanding of a web page to answer, and the answer is either a text span on the web page or yes/no. We evaluate various baselines on our dataset to show the difficulty of our task. We also investigate the usefulness of structural information and visual features. Our dataset and baselines have been publicly available. © 2021 Association for Computational Linguistics

关键词： Websites

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Generative ai models for virtual interviewers: applicability and performance comparison

Generative AI models for virtual interviewers: applicability...

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International Conference on Innovation, Communication and engineering (ICICE 2023)

作者： Jongwook Si Jaeyong Song Minsik Woo Daemin Kim Yonghwan Lee Sungyoung Kim Department of Computer AI Convergence Engineering Kumoh National Institute of Technology Republic of Korea Department of Computer Engineering Kumoh National Institute of Technology Republic of Korea Department of Electronic Engineering Kumoh National Institute of Technology Republic of Korea

ISBN: (数字)9781839539954

Interviewing processes are considered crucial steps in job hunting or college admissions, and effective practice plays a significant role in successfully navigating these stages. Although various platforms have recently emerged for practicing virtual interviews, they often lack the tension and realism of actual interviews due to repetitive and formal content. This study aims to analyze and compare the performance of different generative ai models for creating a diverse set of virtual interviewers. Specifically, we examine the characteristics and applicability of each model, as well as the differences and advantages between them, and evaluate the performance of the generated virtual interviewers. Through this analysis, we aim to propose solutions for enhancing the practicality and efficiency of virtual interviews.

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Integrated Energy-Efficient Distributed Link Stability Algorithm for UAV networks

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computers, Materials & Continua 2024年第11期81卷 2357-2394页

作者： Altaf Hussain Shuaiyong Li Tariq Hussain Razaz Waheeb Attar Farman Ali Ahmed Alhomoud Babar Shah School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqing400065China School of Computer Science and Information Engineering Zhejiang Gongshang UniversityHangzhou310018China Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Applied AI School of ConvergenceCollege of Computing and InformaticsSungkyunkwan UniversitySeoul03063Republic of Korea Department of Computer Science College of ScienceNorthern Border UniversityArar91431Saudi Arabia College of Technological Innovation Zayed UniversityDubai19282United Arab Emirates

Ad hoc networks offer promising applications due to their ease of use,installation,and deployment,as they do not require a centralized control *** these networks,nodes function as senders,receivers,and *** such network is the Flying Ad hoc network(FANET),where nodes operate in three dimensions(3D)using Unmanned Aerial Vehicles(UAVs)that are remotely *** the integration of the Internet of Things(IoT),these nodes form an IoT-enabled network called the Internet of UAVs(IoU).However,the airborne nodes in FANET consume high energy due to their payloads and low-power *** optimal routing approach for communication is essential to address the problem of energy consumption and ensure energy-efficient data transmission in *** paper proposes a novel energy-efficient routing protocol named the Integrated Energy-Efficient Distributed Link Stability Algorithm(IEE-DLSA),featuring a relay mechanism to provide optimal routing with energy efficiency in *** energy efficiency of IEE-DLSA is enhanced using the Red-Black(R-B)tree to ensure the fairness of advanced energy-efficient *** link stability,transmission loss avoidance,delay awareness with defined threshold metrics,and improving the overall performance of the proposed protocol are the core functionalities of *** simulations demonstrate that the proposed protocol performs well compared to traditional FANET routing *** evaluation metrics considered in this study include network delay,packet delivery ratio,network throughput,transmission loss,network stability,and energy consumption.

关键词： FANET UAV internet of UAVs relay mechanism energy consumption routing IEE-DLSA

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WIP: Performance Evaluation of Angle-based Handover in LEO-based NTN

WIP: Performance Evaluation of Angle-based Handover in LEO-b...

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IEEE International Symposium on World of Wireless Mobile and Multimedia networks (WoWMoM)

作者： Jina Yu Tae-Yoon Kim Jae-Hyun Kim Department of Artificial Intelligence Convergence Network Ajou University Suwon South Korea Department of Electrical and Computer Engineering Ajou University Suwon South Korea

Low Earth orbit (LEO) satellite communication is one of the key technologies in 6G wireless networks. However, LEO-based non-terrestrial networks (NTN) face several challenges due to their fast mobility and high altitude. In particular, it is challenging for user equipment (UE) to determine the cell boundary for handover using the received signal strength (RSS)based measurement report (MR) event because the RSS from the cell center and cell edge is quite similar. In this paper, we propose a novel LEO handover method using an angle-based MR event. The elevation angle is calculated based on the distance between the satellite and the cell center, and between the satellite and the UE. Simulation results show that the performance of the angle-based MR event is better than that of the RSS-based MR event.

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Performance Analysis of SpaceX and OneWeb Satellites in South Korea

Performance Analysis of SpaceX and OneWeb Satellites in Sout...

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International Conference on Information and Communication Technology convergence (ICTC)

作者： Taehan Moon Heonwoo Chu Wonjae Lee Jae-Hyun Kim Department of Artificial Intelligence Convergence Network Ajou University Suwon South Korea Department of Electrical and Computer Engineering Ajou University Suwon South Korea

ISBN: (数字)9798350364637

ISBN: (纸本)9798350364644

Low Earth Orbit (LEO) satellites offer significant advantages in terms of extensive coverage and service connectivity. Many researchers are currently focusing on commercial LEO constellations, such as SpaceX and One Web. In particular, Signal-to-Noise Ratio (SNR) and Line-of-Sight (LoS) are crucial for ensuring high-quality service in LEO satellite communications. In this paper, we evaluate a detailed analysis of the SNR and LoS performance between SpaceX and OneWeb. The simulation results show that the LEO satellites satisfy the minimum technical performance requirements in the South Korea region.

关键词： Satellite constellations Satellites Simulation Low earth orbit satellites Line-of-sight propagation Interference Performance analysis Reliability Satellite communications Signal to noise ratio

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Performance Evaluation of Location-based Conditional Handover Scheme using LEO Satellites

Performance Evaluation of Location-based Conditional Handove...

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International Conference on Information and Communication Technology convergence (ICTC)

作者： Jongtae Lee Wonjae Lee Jae-Hyun Kim Department of Artificial Intelligence Convergence Network Ajou University Suwon South Korea Department of Electrical and Computer Engineering Ajou University Suwon South Korea

The high velocity of LEO satellites can result in frequent handover (HO) in non-terrestrial networks (NTN). In a satellite environment, due to the high altitude, the signal strength variation between the cell center and the cell edge is very small. As a result, when using the signal strength-based HO, there are challenges in selecting an appropriate cell during HO. To address this issue, we proposed a location-based conditional HO (CHO) approach instead of the signal strength-based method. This approach uses the distance between the reference location of the cell and the user equipment (UE) to make HO decisions. This allows the UE to choose a suitable cell. Additionally, through an analysis based on the variation of signal strength with the UE’s position within the cell and the distance change between the UE and the cell center, the distance offset is determined. Simulation results demonstrate that the proposed approach, when compared to the conventional method, can reduce radio link failure (RLF) and HO failure (HOF).

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Analysis of LEO Satellite network Performace according to Phasing Factor: Polar Region Boundary, Minimun Elevation angle

Analysis of LEO Satellite Network Performace according to Ph...

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International Conference on Ubiquitous and Future networks, ICUFN

作者： Heon-Woo Chu Tae-Yoon Kim Jae-Hyun Kim Department of Artificial Intelligence Convergence Network Ajou University Suwon South Korea Department of Electrical and Computer Engineering Ajou University Suwon South Korea

ISBN: (数字)9798350385298

ISBN: (纸本)9798350385304

The deployment model of low-Earth orbit (LEO) satellites astonishingly affects LEO satellite network performance. The deployment of satellites generates a polar region that reduces communication performance. Due to the relative velocity between satellites, inter satellite link is impossible in the polar region. The relative velocity between satellites is caused by the phase offset defined by the phasing factor. Therefore, since the polar region is affected by the phasing factor, it should be considered in the satellite network design. In this paper, we analyze the polar region boundary and minimum elevation angle of the LEO satellite network according to the phasing factor. The analysis of the polar region is demonstrated considering the Iridium and OneWeb LEO satellite constellations. Simulation results show that the polar region boundary differs by up to 19 degrees, and the minimum elevation angle of the ground station differs by up to 2.8 degrees depending on the phasing factor.

关键词： Satellite constellations Satellites Simulation Low earth orbit satellites Orbits Iridium

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Performance Evaluation of Multi-Attribute Conditional Handover in LEO Satellite networks

Performance Evaluation of Multi-Attribute Conditional Handov...

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IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)

作者： Won-Jae Lee Jongtae Lee Jae-Hyun Kim Department of Artificial Intelligence Convergence Network Ajou University Suwon South Korea Department of Electrical and Computer Engineering Ajou University Suwon South Korea

Recently, low earth orbit (LEO) satellite has been attracting attention for communication. It supports higher link quality and reduces propagation delay compared with geostationary orbit (GEO) satellite. However, a single LEO satellite can not support continuous service due to small coverage and fast velocity. Therefore, LEO satellite constellation is needed. Handover (HO) scheme is important to support continuous service. However, the HO scheme is made for terrestrial network (TN). It is hard to apply HO scheme to Non-TN (NTN). We propose multi-attribute HO scheme for the NTN. The proposed HO scheme considers signal strength and time-of-stay (ToS). Simulation results show that the HO scheme based on multi-attribute is adjusted in NTN.

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