Conference
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2023 |
Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations
Jae Young Lee
British Machine Vision Conference (BMVC) 2023, pp.1-13 |
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Conference
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2022 |
The Effects of Characteristics of Raw Materials and Synthetic Conditions on Properties of BaTiO3: A Structural Equation Model
Young Seog Yoon
European Materials Research Society (E-MRS) Meeting 2022 (Spring), pp.1-1 |
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Conference
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2022 |
A Deep Learning Model for Predicting Foot-Type Classification
윤영석
한국정밀공학회 학술 대회 (춘계) 2022, pp.771-772 |
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Conference
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2021 |
European Union’s Reshoring (2014~2018) Cases and Its Implications
윤영석
한국기계가공학회 학술 대회 (추계) 2021, pp.64-65 |
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Conference
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2021 |
A Discussion of Anomaly Detection from a Manufacturing Perspective
윤영석
한국디지털콘텐츠학회 종합 학술대회 (하계) 2021, pp.37-38 |
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Journal
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2021 |
DG-LoRa: Deterministic Group Acknowledgment Transmissions in LoRa Networks for Industrial IoT Applications
Junhee Lee
Sensors, v.21, no.4, pp.1-18 |
12 |
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Journal
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2021 |
A Study on the Scheduling of Dyeing Processing Production Based on Genetic Algorithm
김승현
한국통신학회논문지, v.46, no.1, pp.192-200 |
0 |
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Journal
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2020 |
Development Direction of Smart Factory for Mass Customization Based On Investigating Adidas SpeedFactory Closure
윤영석
한국통신학회논문지, v.45, no.11, pp.1980-1993 |
0 |
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Conference
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2020 |
Discussions and Implications of Multinational Manufacturing Companies Conflicting Strategies for Shoes Customization
윤영석
한국정밀공학회 학술 대회 2020, pp.403-403 |
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Conference
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2020 |
A Study of Dynamic Scheduling Method with Optaplanner in Dyeing Processing Factory
홍진빈
한국통신학회 학술 대회 (하계) 2020, pp.736-737 |
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Conference
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2020 |
Job Assignment for Dyeing Machines Composed in Parallel based on Integer Programming
김승현
한국CDE학회 학술 대회 (하계) 2020, pp.1-2 |
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Journal
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2020 |
A Study of Dynamic Scheduling Method with Optaplanner in Dyeing Processing Factory
홍진빈
한국통신학회논문지, v.45, no.7, pp.1263-1268 |
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Conference
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2019 |
A Scheduling Algorithm for On-Time Production in A Hybrid Flow Shop Manufacturing Process
Junhee Lee
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1243-1247 |
0 |
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Conference
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2019 |
Extracting Promising Topics on Smart Manufacturing Based on Latent Dirichlet Allocation (LDA)
Young Seog Yoon
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1237-1242 |
0 |
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Conference
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2019 |
딥러닝을 이용한 전기로 합금 생산량 예측
O SangWon
International Conference on Big Data Applications and Services (BigDAS) 2019, pp.1-9 |
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Conference
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2019 |
Designing of Order System for Customized Shoes
윤영석
한국기계가공학회 학술 대회 (춘계) 2019, pp.23-23 |
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Journal
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2018 |
Exploring the Dynamic Knowledge Structure of Studies on the Internet of Things: Keyword Analysis
Young Seog Yoon
ETRI Journal, v.40, no.6, pp.745-758 |
20 |
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Conference
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2018 |
MES Concept and Characteristics for Smart Factory
윤영석
한국기계가공학회 학술 대회 (추계) 2018, pp.19-19 |
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Conference
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2018 |
Mining Twitter to Identify Customers’ Requirements and Shoe Market Segmentation
Young Seog Yoon
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1194-1199 |
3 |
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Conference
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2018 |
Smart Factory from an Innovation Theory Perspective
윤영석
한국통신학회 종합 학술 발표회 (하계) 2018, pp.453-454 |
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