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Seung Woo Kum

Seung-woo Kum – Seungwoo Kum

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2020 – today

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2025
[j6]
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Seungwoo Kum, Jaewon Moon, Seungtaek Oh, Hyun-Kwon Suh, Hyeonji Park, Ha Seon Sim, Jung Su Jo, Sung Kyeom Kim, Seungwook Choi, Francisco Andres Pérez:
Novel method for crop growth tracking with deep learning model on an Edge Rail Camera. Comput. Electron. Agric. 230: 109816 (2025)
2024
[c33]
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Seungwoo Kum, Seungtaek Oh, Jaewon Moon:
Edge AI Framework for Large Scale Smart Agriculture. ICIN 2024: 143-147
[c32]
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Seungwoo Kum, Jungchul Yeom, Jaewon Moon, Seungtaek Oh:
IngressMapper: Managing Access to Edge Resources. ICTC 2024: 1389-1390
[c31]
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Jaewon Moon, Jihoon Lee, Seungwoo Kum, SeungTack Oh:
Enhancing Climate Data Utilization: Strategies and Service Scenario. ICTC 2024: 1648-1649
[c30]
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Seungtaek Oh, Seungwoo Kum, Jaewon Moon:
Real-Time Environment Monitoring and Response Through IoT and Retrieval-Augmented Generation. ICTC 2024: 1658-1659
[c29]
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Jihoon Lee, Jaewon Moon, Seungwoo Kum:
Design of a Data Storage Structure for Smart Farm Data Utilization. ICTC 2024: 1668-1669
2023
[c28]
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Seungwoo Kum, Jaewon Moon, Youngkee Kim, Alejandro Barrera Carvajal, Seungtaek Oh, Francisco Andres Pérez:
Rail Camera: An Edge Resource Management for Smart Farm Application. ICTC 2023: 630-633
[c27]
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Jaewon Moon, Seung Woo Kum, Seungtaek Oh:
Platform Design for IoT Data Quality Improvement through Flexible Preprocessing Pipeline Building. ICTC 2023: 1185-1188
[c26]
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Seungtaek Oh, Sung Kyeom Kim, Jaewon Moon, Seungwook Choi, Soonho Lee, Seungwoo Kum, Hyun-Kwon Suh:
Yield Monitoring Service with Time Series Representation of Growth from Crop Images. ICTC 2023: 1755-1758
2022
[j5]
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Seung Woo Kum, Seungtaek Oh, Jeongcheol Yeom, Jaewon Moon:
Optimization of Edge Resources for Deep Learning Application with Batch and Model Management. Sensors 22(17): 6717 (2022)
[c25]
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Jeongcheol Yeom, Jaewon Moon, Seung Woo Kum:
On Distribution of Intelligence: From the Perspective of Edge Computing. ICTC 2022: 504-506
[c24]
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Jaewon Moon, Seungtaek Oh, Seungwoo Kum:
An introduction to the architecture of CLUST platform supporting multiple time series data integration and analysis. ICTC 2022: 507-509
[c23]
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Seungtaek Oh, Jaewon Moon, Jungsu Jo, Seungwoo Kum:
Analysis and Application of Sensor Data Collected from Strawberry Greenhouse. ICTC 2022: 1591-1593
[c22]
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Seungtaek Oh, Jaewon Moon, Seungwoo Kum:
Application of Deep Learning Model Inference with Batch Size Adjustment. ICTC 2022: 2146-2148
[c21]
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Seung Woo Kum, Seungtaek Oh, Jungchul Yeom, Jaewon Moon:
On Designing Interfaces to Access Deep Learning Inference Services. ICUFN 2022: 89-91
[c20]
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Jongbin Park, Seung-woo Kum:
Design and Development of Server-Client Cooperation Framework for Federated Learning. ICUFN 2022: 271-273
[c19]
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Jaewon Moon, Seung-woo Kum, Seungtaek Oh:
Introduction to a new use-case based on MPEG-IoMT: time-series temperature data analysis by the flower condition. ICUFN 2022: 459-461
2021
[c18]
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  - conf/gecon/KochovskiKMVS21
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Petar Kochovski, Seung Woo Kum, Jaewon Moon, Aleks Vujic, Vlado Stankovski:
Smart Contract for Cross-Border AI Model Management. GECON 2021: 215-222
[c17]
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Seung Woo Kum, Miseon Yu, Youngkee Kim, Jaewon Moon, Silvio Cretti:
AI Management Platform with Embedded Edge Cluster. ICCE 2021: 1-3
[c16]
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Seung Woo Kum, Seungtaek Oh, Jaewon Moon:
A Service Management Method for Distributed Deep Learning. ICTC 2021: 958-960
[c15]
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Jungae Park, Un-Sook Choi, Seung Woo Kum, Jaewon Moon, Kyungyong Lee:
Accelerator-Aware Kubernetes Scheduler for DNN Tasks on Edge Computing Environment. SEC 2021: 438-440
[i1]
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Valentino Armani, Francescomaria Faticanti, Silvio Cretti, Seung Woo Kum, Domenico Siracusa:
A Cost-Effective Workload Allocation Strategy for Cloud-Native Edge Services. CoRR abs/2110.12788 (2021)
2020
[j4]
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Petar Kochovski, Vlado Stankovski, Sandi Gec, Francescomaria Faticanti, Marco Savi, Domenico Siracusa, Seung Woo Kum:
Smart Contracts for Service-Level Agreements in Edge-to-Cloud Computing. J. Grid Comput. 18(4): 673-690 (2020)
[c14]
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Marco Savi, Daniele Santoro, Katarzyna Di Meo, Daniele Pizzolli, Miguel Pincheira, Raffaele Giaffreda, Silvio Cretti, Seung Woo Kum, Domenico Siracusa:
A Blockchain-based Brokerage Platform for Fog Computing Resource Federation. ICIN 2020: 147-149

2010 – 2019

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2019
[j3]
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Jaewon Moon, Seung Woo Kum, Sangwon Lee:
A Heterogeneous IoT Data Analysis Framework with Collaboration of Edge-Cloud Computing: Focusing on Indoor PM10 and PM2.5 Status Prediction. Sensors 19(14): 3038 (2019)
[c13]
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Seung Woo Kum, Youngkee Kim, Jaewon Moon:
Deploying Deep Neural Network on Edge-Cloud environment. ICTC 2019: 242-244
2018
[c12]
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Seung Woo Kum, Jaewon Moon:
Service Mediation Gateway for Heterogenous IoT Services Harmonization. ICUFN 2018: 779-781
2017
[c11]
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  - conf/icce-berlin/KumML17
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Seung Woo Kum, Jaewon Moon, Tae-Beom Lim:
Design of fog computing based IoT application architecture. ICCE-Berlin 2017: 88-89
[c10]
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Jaewon Moon, Seung Woo Kum, Sangwon Lee:
Introduction to the design of personalized user interface platform with recommended contents. ICCIP 2017: 104-107
2016
[j2]
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Seung Woo Kum, Mingoo Kang, Jong-Il Park:
IoT Delegate: Smart Home Framework for Heterogeneous IoT Service Collaboration. KSII Trans. Internet Inf. Syst. 10(8): 3958-3971 (2016)
[c9]
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Jongbin Park, Kyung Won Kim, Jong-jin Jung, Jae Won Moon, Seung-woo Kum, Jungeol Chun, Tae-Beom Lim:
Personalized video composition method based on user intention learning. BMSB 2016: 1-4
[c8]
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Seung Woo Kum, Sung-Hyun Kim, Young Ran Jeon, Jaewon Moon, Taeboem Lim:
Design and implementation of IoT planner: Device interaction service for IoT. ICUFN 2016: 441-443
2015
[j1]
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Dongchil Kim, Jiwoo Park, Seung Woo Kum, Kwangsue Chung:
A context-aware matching system to improve user-perceived quality. IEEE Trans. Consumer Electron. 61(4): 531-538 (2015)
[c7]
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Seung Woo Kum, Jaewon Moon, Taeboem Lim, Jong-Il Park:
A novel design of IoT cloud delegate framework to harmonize cloud-scale IoT services. ICCE 2015: 247-248
2014
[c6]
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Jongbin Park, Kyung Won Kim, Jae Won Moon, Seung-woo Kum, Jong-jin Jung, Tae-Beom Lim, Myunghyun Yoon, Byeungwoo Jeon:
Private image region protection and reconstruction scheme for cloud-based video monitoring system using transform domain Wyner-Ziv video coding. BMSB 2014: 1-4
2013
[c5]
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Jae Won Moon, Tae-Beom Lim, Kyung Won Kim, Seung-woo Kum, Myunghyun Yoon, Kwangsu Cho:
A Framework for Dynamic Context-Awarable User Interfaces of the Second Screen Devices in a Home Network Environment. COMPSAC 2013: 284-285
[c4]
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  - conf/music/CuiKKJLLC13
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Yun Cui, Myoungjin Kim, Seung-woo Kum, Jong-jin Jung, Tae-Beom Lim, Hanku Lee, Okkyung Choi:
Home Appliance Control and Monitoring System Model Based on Cloud Computing Technology. MUSIC 2013: 353-357
2012
[c3]
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Seung Woo Kum, Tae-Beom Lim, Seok-Pil Lee:
Design and implementation of automatic device selection for home network devices. ICCE-Berlin 2012: 214-215
2011
[c2]
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Seung-woo Kum, Kyung Won Kim, Yun-Ju Lee, Tae-Beom Lim, Seok-Pil Lee:
Design and Implementation of Aggregation Framework for UPnP/DLNA Media Server. ICCCN 2011: 1-4

2000 – 2009

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2008
[c1]
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Seung-woo Kum, Tae-Beom Lim, Seok-Pil Lee:
Metadata Retrieval Using RTCP for Multimedia Streaming. PCM 2008: 815-820

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