A novel design of IoT cloud delegate framework to harmonize cloud-scale IoT services. - Seung Woo Kum; Jaewon Moon; Taeboem Lim; Jong-Il Park (ICCE, 2015)

Design and implementation of IoT planner: Device interaction service for IoT. - Seung Woo Kum; Sung-Hyun Kim; Young Ran Jeon; Jaewon Moon; Taeboem Lim (ICUFN, 2016)

Design of fog computing based IoT application architecture. - Seung Woo Kum; Jaewon Moon; Tae-Beom Lim (ICCE-Berlin, 2017)

Introduction to the design of personalized user interface platform with recommended contents. - Jaewon Moon; Seung Woo Kum; Sangwon Lee 009 (ICCIP, 2017)

Cloud-Edge Collaboration Framework for IoT data analytics. - Jaewon Moon; Sangyeon Cho; Seungweoo Kum; Sangwon Lee 009 (ICTC, 2018)

Service Mediation Gateway for Heterogenous IoT Services Harmonization. - Seung Woo Kum; Jaewon Moon (ICUFN, 2018)

Deploying Deep Neural Network on Edge-Cloud environment. - Seung Woo Kum; Youngkee Kim; Jaewon Moon (ICTC, 2019)

A Heterogeneous IoT Data Analysis Framework with Collaboration of Edge-Cloud Computing: Focusing on Indoor PM10 and PM2.5 Status Prediction. - Jaewon Moon; Seung Woo Kum; Sangwon Lee 009 (Sensors, 2019)

Artificial Intelligence Service Architecture for Edge Device. - Seungwoo Keum; Youngkee Kim; Domenico Siracusa; Jaewon Moon (ICCE-Berlin, 2020)

A Correlation Analysis of Indoor and Outdoor Air Quality using IoT sensors. - Jaewon Moon; Seungwoo Keum; Sung-Soon Park (SmartIoT, 2020)

Smart Contract for Cross-Border AI Model Management. - Petar Kochovski; Seung Woo Kum; Jaewon Moon; Aleks Vujic; Vlado Stankovski (GECON, 2021)

AI Management Platform with Embedded Edge Cluster. - Seung Woo Kum; Miseon Yu; Youngkee Kim; Jaewon Moon; Silvio Cretti (ICCE, 2021)

A Service Management Method for Distributed Deep Learning. - Seung Woo Kum; Seungtaek Oh; Jaewon Moon (ICTC, 2021)

Method to integrate heterogeneous time-series data with specific description frequency. - Jaewon Moon; SeungTack Oh; Seungwoo Keum (ICTC, 2021)

Accelerator-Aware Kubernetes Scheduler for DNN Tasks on Edge Computing Environment. - Jungae Park; Un-Sook Choi; Seung Woo Kum; Jaewon Moon; Kyungyong Lee (SEC, 2021)

An introduction to the architecture of CLUST platform supporting multiple time series data integration and analysis. - Jaewon Moon; Seungtaek Oh; Seungwoo Kum (ICTC, 2022)

Analysis and Application of Sensor Data Collected from Strawberry Greenhouse. - Seungtaek Oh; Jaewon Moon; Jungsu Jo; Seungwoo Kum (ICTC, 2022)

Application of Deep Learning Model Inference with Batch Size Adjustment. - Seungtaek Oh; Jaewon Moon; Seungwoo Kum (ICTC, 2022)

On Distribution of Intelligence: From the Perspective of Edge Computing. - Jeongcheol Yeom; Jaewon Moon; Seung Woo Kum (ICTC, 2022)

On Designing Interfaces to Access Deep Learning Inference Services. - Seung Woo Kum; Seungtaek Oh; Jungchul Yeom; Jaewon Moon (ICUFN, 2022)

Introduction to a new use-case based on MPEG-IoMT: time-series temperature data analysis by the flower condition. - Jaewon Moon; Seung-woo Kum; Seungtaek Oh (ICUFN, 2022)

Optimization of Edge Resources for Deep Learning Application with Batch and Model Management. - Seung Woo Kum; Seungtaek Oh; Jeongcheol Yeom; Jaewon Moon (Sensors, 2022)

Rail Camera: An Edge Resource Management for Smart Farm Application. - Seungwoo Kum; Jaewon Moon; Youngkee Kim; Alejandro Barrera Carvajal; Seungtaek Oh; Francisco Andres Pérez (ICTC, 2023)

Platform Design for IoT Data Quality Improvement through Flexible Preprocessing Pipeline Building. - Jaewon Moon; Seung Woo Kum; Seungtaek Oh (ICTC, 2023)

Yield Monitoring Service with Time Series Representation of Growth from Crop Images. - Seungtaek Oh; Sung Kyeom Kim; Jaewon Moon; Seungwook Choi; Soonho Lee; Seungwoo Kum; Hyun-Kwon Suh (ICTC, 2023)

Edge AI Framework for Large Scale Smart Agriculture. - Seungwoo Kum; Seungtaek Oh; Jaewon Moon (ICIN, 2024)

IngressMapper: Managing Access to Edge Resources. - Seungwoo Kum; Jungchul Yeom; Jaewon Moon; Seungtaek Oh (ICTC, 2024)

Design of a Data Storage Structure for Smart Farm Data Utilization. - Jihoon Lee; Jaewon Moon; Seungwoo Kum (ICTC, 2024)

Enhancing Climate Data Utilization: Strategies and Service Scenario. - Jaewon Moon; Jihoon Lee; Seungwoo Kum; SeungTack Oh (ICTC, 2024)

Real-Time Environment Monitoring and Response Through IoT and Retrieval-Augmented Generation. - Seungtaek Oh; Seungwoo Kum; Jaewon Moon (ICTC, 2024)

Multi-Modal Gaze Following in Conversational Scenarios. - Yuqi Hou; Zhongqun Zhang; Nora Horanyi; Jaewon Moon; Yihua Cheng; Hyung Jin Chang (WACV, 2024)

Novel method for crop growth tracking with deep learning model on an Edge Rail Camera. - 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 (Comput. Electron. Agric., 2025)