• Title/Summary/Keyword: 컨셉 변동

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A Dynamic Ensemble Method using Adaptive Weight Adjustment for Concept Drifting Streaming Data (컨셉 변동 스트리밍 데이터를 위한 적응적 가중치 조정을 이용한 동적 앙상블 방법)

  • Kim, Young-Deok;Park, Cheong Hee
    • Journal of KIISE
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    • v.44 no.8
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    • pp.842-853
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    • 2017
  • Streaming data is a sequence of data samples that are consistently generated over time. The data distribution or concept can change over time, and this change becomes a factor to reduce the performance of a classification model. Adaptive incremental learning can maintain the classification performance by updating the current classification model with the weight adjusted according to the degree of concept drift. However, selecting the proper weight value depending on the degree of concept drift is difficult. In this paper, we propose a dynamic ensemble method based on adaptive weight adjustment according to the degree of concept drift. Experimental results demonstrate that the proposed method shows higher performance than the other compared methods.

A Framework for Early Detection and Interpretation of Concept Drift (컨셉 드리프트를 고려한 조기탐지 및 해석 프레임워크)

  • Min-Jung Kang;Su-Bin Oh;Sang-Min Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.701-704
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    • 2023
  • 본 연구는 반도체 제조 과정에서 생산 가용 능력이 저하되는 시점을 조기 탐지하기 위한 프레임워크를 제안한다. 이를 위해 데이터 패턴의 불규칙한 변동이 잦은 환경에서 모델의 재학습 없이 최적의 성능을 유지할 수 있도록 온라인 학습 방식을 활용하였다. Augmented Dicky-Fuller test 를 통해 데이터의 정상성 여부를 검정하고, 데이터에 변화가 있을 경우 학습 모델은 지속적으로 업데이트된다. 특히, 상한 재공재고는 생산량과 직결되는 주요 지표로써, 낮게 예측된 시점에서 주요 원인 변수를 파악하는 것이 중요하다. 따라서 정확도와 효율성 측면에서 다른 모델 대비 가장 우수한 성능을 보였던 제안 기법에 shapley additive explanations(SHAP)을 적용하여 생산 저하 시 문제가 되는 원인 변수를 분석하고자 하였다.

Surface Exchange of Energy and Carbon Dioxide between the Atmosphere and a Farmland in Haenam, Korea (한국 해남 농경지와 대기간의 에너지와 이산화탄소의 지표 교환)

  • Hee Choon Lee;Jinkyu Hong;Chun-Ho Cho;Byoung-Cheol Choi;Sung-Nam Oh;Joon Kim
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.5 no.2
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    • pp.61-69
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    • 2003
  • Surface energy and $CO_2$ fluxes have been measured over a farmland in Haenam, Korea since July 2002. Eddy covariance technique, which is the only direct flux measurement method, was employed to quantitatively understand the interaction between the farmland ecosystem and the atmospheric boundary layer. Maintenance of eddy covariance system was the main concern during the early stage of measurement to minimize gaps and uncertainties in the dataset. Half-hourly averaged $CO_2$ concentration showed distinct diurnal and seasonal variations, which were closely related to changes in net ecosystem exchange (NEE) of $CO_2$. Daytime maximum $CO_2$ uptake was about -1.0 mg $CO_2$ m$^{-2}$ s$^{-1}$ in August whereas nighttime $CO_2$ release was up to 0.3 mg $CO_2$ m$^{-2}$ s$^{-1}$ during the summer. Both daytime $CO_2$ uptake and nighttime release decreased gradually with season. During the winter season, NEE was from near zero to 0.05 mg $CO_2$ m$^{-2}$ s$^{-1}$ . FK site was a moderate sink of atmospheric $CO_2$ until September with daily NEE of 22 g $CO_2$ m$^{-2}$ d$^{-1}$ . In October, it became a weak source of $CO_2$ with an emission rate of 2 g $CO_2$ m$^{-2}$ d$^{-1}$ . Long-term flux measurements will continue at FK site to further investigate inter-annual variability in NEE. to better understand these exchange mechanism and in-depth analysis, process-level field experiments and intensive short-term intercomparisons are also expected to be followed.