Search Results - "Taehong Kim"

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  1. 1

    Balanced Leader Distribution Algorithm in Kubernetes Clusters by Nguyen, Nguyen Dinh, Kim, Taehong

    Published in Sensors (Basel, Switzerland) (28-01-2021)
    “…Container-based virtualization is becoming a de facto way to build and deploy applications because of its simplicity and convenience. Kubernetes is a…”
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    Journal Article
  2. 2

    Local Scheduling in KubeEdge-Based Edge Computing Environment by Kim, Seong-Hyun, Kim, Taehong

    Published in Sensors (Basel, Switzerland) (30-01-2023)
    “…KubeEdge is an open-source platform that orchestrates containerized Internet of Things (IoT) application services in IoT edge computing environments. Based on…”
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  3. 3

    Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration by Nguyen, Thanh-Tung, Yeom, Yu-Jin, Kim, Taehong, Park, Dae-Heon, Kim, Sehan

    Published in Sensors (Basel, Switzerland) (17-08-2020)
    “…Kubernetes, an open-source container orchestration platform, enables high availability and scalability through diverse autoscaling mechanisms such as…”
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  4. 4

    Demystifying Impact of Key Hyper-Parameters in Federated Learning: A Case Study on CIFAR-10 and FashionMNIST by Kundroo, Majid, Kim, Taehong

    Published in IEEE access (2024)
    “…Federated Learning (FL) has emerged as a promising paradigm for privacy-preserving distributed Machine Learning (ML), enabling model training across…”
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  5. 5

    Federated learning with hyper-parameter optimization by Kundroo, Majid, Kim, Taehong

    “…Federated Learning is a new approach for distributed training of a deep learning model on data scattered across a large number of clients while ensuring data…”
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  6. 6

    Breaking Down the Compatibility Problem in Smart Homes: A Dynamically Updatable Gateway Platform by Phan, Linh-An, Kim, Taehong

    Published in Sensors (Basel, Switzerland) (14-05-2020)
    “…Smart home is one of the most promising applications of the Internet of Things. Although there have been studies about this technology in recent years, the…”
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  7. 7

    Edge/Fog Computing Technologies for IoT Infrastructure by Kim, Taehong, Yoo, Seong-Eun, Kim, Youngsoo

    Published in Sensors (Basel, Switzerland) (25-04-2021)
    “…The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices [...]…”
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  8. 8

    Edge/Fog Computing Technologies for IoT Infrastructure II by Kim, Taehong, Yoo, Seong-Eun, Kim, Youngsoo

    Published in Sensors (Basel, Switzerland) (13-04-2023)
    “…The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices [...]…”
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  9. 9

    COVID-19 severity detection using chest X-ray segmentation and deep learning by Singh, Tinku, Mishra, Suryanshi, Kalra, Riya, Satakshi, Kumar, Manish, Kim, Taehong

    Published in Scientific reports (27-08-2024)
    “…COVID-19 has resulted in a significant global impact on health, the economy, education, and daily life. The disease can range from mild to severe, with…”
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    Journal Article
  10. 10

    Industrial Wireless Sensor Networks: Protocols and Applications by Yoo, Seong-eun, Kim, Taehong

    Published in Sensors (Basel, Switzerland) (14-10-2020)
    “…Wireless sensor networks are penetrating our daily lives, and they are starting to be deployed even in an industrial environment. The research on such…”
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  11. 11

    Fast and Robust Time Synchronization with Median Kalman Filtering for Mobile Ad-Hoc Networks by Jeon, Young, Kim, Taehong, Kim, Taejoon

    Published in Sensors (Basel, Switzerland) (15-01-2021)
    “…Time synchronization is an important issue in ad-hoc networks for reliable information exchange. The algorithms for time synchronization in ad-hoc networks are…”
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  12. 12

    Load-Balancing of Kubernetes-Based Edge Computing Infrastructure Using Resource Adaptive Proxy by Nguyen, Quang-Minh, Phan, Linh-An, Kim, Taehong

    Published in Sensors (Basel, Switzerland) (08-04-2022)
    “…Kubernetes (K8s) is expected to be a key container orchestration tool for edge computing infrastructures owing to its various features for supporting container…”
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  13. 13

    Traffic-Aware Horizontal Pod Autoscaler in Kubernetes-Based Edge Computing Infrastructure by Phuc, Le Hoang, Phan, Linh-An, Kim, Taehong

    Published in IEEE access (2022)
    “…Container-based Internet of Things (IoT) applications in an edge computing environment require autoscaling to dynamically adapt to fluctuations in IoT device…”
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  14. 14

    Distributed Node Scheduling with Adjustable Weight Factor for Ad-hoc Networks by Lee, Wonseok, Kim, Taehong, Kim, Taejoon

    Published in Sensors (Basel, Switzerland) (07-09-2020)
    “…In this paper, a novel distributed scheduling scheme for an ad-hoc network is proposed. Specifically, the throughput and the delay of packets with different…”
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  15. 15

    Opportunistic Shortcut Tree Routing in ZigBee Networks by Kim, Taehong, Kim, Daeyoung

    Published in IEEE sensors journal (15-06-2016)
    “…The shortcut tree routing has been proposed to provide near optimal routing path as well as maintaining the advantages of the ZigBee tree routing, such as…”
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  16. 16

    Hybrid time synchronization protocol for large-scale wireless sensor networks by Phan, Linh-An, Kim, Taehong

    “…There are two common approaches to design a time synchronization protocol as reference-based and consensus-based. The first approach is mainly employed in…”
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  17. 17

    Correlative three-dimensional fluorescence and refractive index tomography: bridging the gap between molecular specificity and quantitative bioimaging by Kim, Kyoohyun, Park, Wei Sun, Na, Sangchan, Kim, Sangbum, Kim, Taehong, Heo, Won Do, Park, YongKeun

    Published in Biomedical optics express (01-12-2017)
    “…Optical diffraction tomography (ODT) provides label-free three-dimensional (3D) refractive index (RI) measurement of biological samples. However, due to the…”
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  18. 18

    Experimental Evaluation and Analysis of Federated Learning in Edge Computing Environments by Quan, Pham Khanh, Kundroo, Majid, Kim, Taehong

    Published in IEEE access (01-01-2023)
    “…Federated learning (FL) is a machine learning system that allows a network of devices to train a model without centralized data. This characteristic makes FL…”
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  19. 19

    Association of breastfeeding and risk of metabolic syndrome and its components in postmenopausal parous women: Korea national health and nutrition examination survey (2010 ~ 2016) by Lee, Jusuk, Kim, Taehong

    “…Understanding the relationship between breastfeeding (BF) and metabolic syndrome (Mets) is important for maternal long-term health benefits and disease…”
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  20. 20

    Micropatterning of Liquid Metal by Dewetting by Kim, Taehong, Kim, Kwangseok, Kim, Seokbeom, Lee, Jungchul, Kim, Wonjung

    Published in Journal of microelectromechanical systems (01-12-2017)
    “…Although gallium-based liquid metals are attracting growing interest thanks to its potential applications in deformable, flexible electronic devices,…”
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