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  1. No Access

    Chapter and Conference Paper

    Information-Based Patrol Speed Control Method for Rail-Guided Robot System Using Deep Deterministic Policy Gradient Algorithm

    To manage the safety of multi-use facilities, many CCTVs and alarm sensors are used, however, they cannot replace patrol tasks to check site conditions from multiple directions. The developed rail-guided smart...

    Hosun Lee, Jaesung Kwon, Sungon Lee, Nak Young Chong in Intelligent Autonomous Systems 18 (2024)

  2. No Access

    Chapter and Conference Paper

    Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures Through Code Recommendation

    Edge-cloud system aims to reduce the processing time of Big data by bringing massive infrastructures closer to the source of data. Infrastructure as Code (IaC) supports the automatic deployment and management ...

    Sunjae Kwon, Sungu Lee, Taehyoun Kim, Duksan Ryu in Current Trends in Web Engineering (2024)

  3. No Access

    Chapter and Conference Paper

    Automated Marker-Less Patient-to-Preoperative Medical Image Registration Approach Using RGB-D Images and Facial Landmarks for Potential Use in Computed-Aided Surgical Navigation of the Paranasal Sinus

    Paranasal sinus surgery is an established treatment option for chronic rhinosinusitis. Because this surgery is performed inside the nasal cavity, where critical anatomical structures, such as optic nerves and ...

    Suhyeon Kim, Haill An, Myungji Song, Sungmin Lee in Advances in Computer Graphics (2024)

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    Chapter and Conference Paper

    CodeBERT Based Software Defect Prediction for Edge-Cloud Systems

    Edge-cloud system is a crucial computing infrastructure for the innovations of modern society. In addition, the high interest in the edge-cloud system leads to various studies for testing to ensure the reliabi...

    Sunjae Kwon, Jong-In Jang, Sungu Lee, Duksan Ryu in Current Trends in Web Engineering (2023)

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    Chapter and Conference Paper

    Evaluating Young Children’s Computational Thinking Skills Using a Mixed-Reality Environment

    This study aimed to develop an innovative mixed-reality environment to promote early computational thinking skills in young children using augmented reality (AR) technology and a socially interactive robot. Th...

    Jae** Hwang, Sungchul Lee, Yanghee Kim, Mobasshira Zaman in HCI International 2023 Posters (2023)

  6. Chapter and Conference Paper

    PNRG: Knowledge Graph-Driven Methodology for Personalized Nutritional Recommendation Generation

    Chronic Diseases are a prevalent problem that affects millions of people worldwide. It is a prevalent health condition that requires careful diet and medication management and preventing chronic diseases. Trad...

    Aminah Bilal Lodhi, Muhammad Abdullah Bilal in Digital Health Transformation, Smart Agein… (2023)

  7. Chapter and Conference Paper

    Ontology Alignment for Accurate Ontology Matching: A Survey

    Edge computing, a distributed computing architecture within the knowledge-defined network (KDN), faces challenges due to the significant disparities and data heterogeneity among its nodes, hindering their inte...

    Hasham Khan, Muhammad Saqib in Digital Health Transformation, Smart Agein… (2023)

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    Chapter and Conference Paper

    Energy-Efficient Image Processing Using Binary Neural Networks with Hadamard Transform

    Binary neural networks have recently begun to be used as a highly energy- and computation-efficient image processing technique for computer vision tasks. This paper proposes a novel extension of existing binar...

    Jaeyoon Park, Sunggu Lee in Computer Vision – ACCV 2022 (2023)

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    Chapter and Conference Paper

    Automated Assessment of Renal Calculi in Serial Computed Tomography Scans

    An automated pipeline is developed for the serial assessment of renal calculi using computed tomography (CT) scans obtained at multiple time points. This retrospective study included 722 scans from 330 patient...

    Pritam Mukherjee, Sungwon Lee in Applications of Medical Artificial Intelli… (2022)

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    Chapter and Conference Paper

    Multimodal Spatial Attention Network for Automatic Head and Neck Tumor Segmentation in FDG-PET and CT Images

    Quantitative positron emission tomography/computed tomography (PET/CT), owing to the functional metabolic information and anatomical information of the human body that it presents, is useful to achieve accurat...

    Minjeong Cho, Yu** Choi, Donghwi Hwang in Head and Neck Tumor Segmentation and Outco… (2022)

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    Chapter and Conference Paper

    Reinforcement Learning Approach for Multi-period Inventory with Stochastic Demand

    Finding an optimal solution to multi-period inventory ordering decision problems with uncertain demand is important for any manufacturing organization. Moreover, these problems are NP-hard as there are many fa...

    Manoj Shakya, Huey Yuen Ng in Artificial Intelligence Applications and I… (2022)

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    Chapter and Conference Paper

    Nonlinearity Study of Damaged Spring Materials Using Guided Wave

    Nonlinear ultrasonic techniques that can detect micro crack or defects before use of ultrasonic nonlinearity are emerging as a way to predict the life of materials. Guided wave propagates according to the shap...

    Jeongnam Kim, Yonghee Lee, Sungun Lee in Advances in Condition Monitoring and Struc… (2021)

  13. No Access

    Chapter and Conference Paper

    A Study on Evidences Stored in Android Smartphones

    Smartphones have become a necessity of modern people and have been used for various purposes beyond simple call and text transmission and reception. Therefore, various personal information has been stored in s...

    Moses Kwak, Jisun Kim, Sungwon Lee in Advances in Computer Science and Ubiquitou… (2021)

  14. No Access

    Chapter and Conference Paper

    Static Analysis for Malware Detection with Tensorflow and GPU

    With the advent of malware generation toolkits that automatically generate malware, anyone without a professional skill can easily generate malware. As a result, the number of new/modified malware samples is r...

    Jueun Jeon, Juho Kim, Sunyong Jeon in Advances in Computer Science and Ubiquitou… (2021)

  15. No Access

    Chapter and Conference Paper

    A Preliminary Work: Mixed Reality-Integrated Computer-Aided Surgical Navigation System for Paranasal Sinus Surgery Using Microsoft HoloLens 2

    Paranasal sinus surgery has high demands for minimal invasion and safety. Computer-aided surgical navigation (CSN) applications have been recognized as the standard of the surgical practice; the operations of ...

    Sungmin Lee, Hoijoon Jung, Euro Lee, Younhyun Jung in Advances in Computer Graphics (2021)

  16. No Access

    Chapter and Conference Paper

    Site-Specific Quality Assessment of Trabecular Bone Using Highly Nonlinear Solitary Waves

    We present a numerical study of highly nonlinear solitary wave interaction with adjacent bone microstructures towards the development of a novel diagnostic scheme for site-specific bone quality assessment. Hig...

    Tae-Yeon Kim, Sangyoung Yoon in European Workshop on Structural Health Mon… (2021)

  17. No Access

    Chapter and Conference Paper

    Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI

    Medical image classification (for example, lesions on MRI scans) is a very challenging task due to the complicated relationships between different lesion sub-types and expensive cost to collect high quality la...

    Yingying Zhu, Shuai Wang, Qingyu Chen, Sungwon Lee in Machine Learning in Medical Imaging (2021)

  18. No Access

    Chapter and Conference Paper

    Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation

    We present a novel unsupervised domain adaptation method for small bowel segmentation based on feature disentanglement. To make the domain adaptation more controllable, we disentangle intensity and non-intensi...

    Seung Yeon Shin, Sungwon Lee in Medical Image Computing and Computer Assis… (2021)

  19. No Access

    Chapter and Conference Paper

    Clothing Display Method Based on VR Technology

    Clothing display is a kind of merchandise display. Good clothing display effect will attract customers’ interest. Traditional physical clothing display has problems such as high cost and easy damage, and once ...

    HuiJuan Lai, Sungwon Lee in Application of Intelligent Systems in Mult… (2021)

  20. No Access

    Chapter and Conference Paper

    Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles

    Reliable localization of abnormal lymph nodes in T2 Magnetic Resonance Imaging (MRI) scans is needed for staging and treatment of lymphoproliferative diseases. Radiologists need to accurately characterize the ...

    Tejas Sudharshan Mathai, Sungwon Lee in Machine Learning in Medical Imaging (2021)

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