글로버메뉴 바로가기 본문 바로가기 하단메뉴 바로가기

논문검색은 역시 페이퍼서치

> 한국목재공학회 > 목재공학(Journal of the Korean Wood Science and Technology) > 47권 1호

Soft Independent Modeling of Class Analogy for Classifying Lumber Species Using Their Near-infrared Spectra

Soft Independent Modeling of Class Analogy for Classifying Lumber Species Using Their Near-infrared Spectra

( Sang-yun Yang ) , ( Yonggun Park ) , ( Hyunwoo Chung ) , ( Hyunbin Kim ) , ( Se-yeong Park ) , ( In-gyu Choi ) , ( Ohkyung Kwon ) , ( Hwanmyeong Yeo )

- 발행기관 : 한국목재공학회

- 발행년도 : 2019

- 간행물 : 목재공학(Journal of the Korean Wood Science and Technology), 47권 1호

- 페이지 : pp.101-109 ( 총 9 페이지 )


학술발표대회집, 워크숍 자료집 중 1,2 페이지 논문은 ‘요약’만 제공되는 경우가 있으니,

구매 전에 간행물명, 페이지 수 확인 부탁 드립니다.

3,000
논문제목
초록(외국어)
This paper examines the classification of five coniferous species, including larch (Larix kaempferi), red pine (Pinus densiflora), Korean pine (Pinus koraiensis), cedar (Cryptomeria japonica), and cypress (Chamaecyparis obtusa), using near-infrared (NIR) spectra. Fifty lumber samples were collected for each species. After air-drying the lumber, the NIR spectra (wavelength = 780-2500 nm) were acquired on the wide face of the lumber samples. Soft independent modeling of class analogy (SIMCA) was performed to classify the five species using their NIR spectra. Three types of spectra (raw, standard normal variated, and Savitzky-Golay 2nd derivative) were used to compare the classification reliability of the SIMCA models. The SIMCA model based on Savitzky-Golay 2nd derivatives preprocessing was determined as the best classification model in this study. The accuracy, minimum precision, and minimum recall of the best model (PCA models using Savitzky-Golay 2nd derivative preprocessed spectra) were evaluated as 73.00%, 98.54% (Korean pine), and 67.50% (Korean pine), respectively.

논문정보
  • - 주제 : 공학분야 > 토목공학
  • - 발행기관 : 한국목재공학회
  • - 간행물 : 목재공학(Journal of the Korean Wood Science and Technology), 47권 1호
  • - 발행년도 : 2019
  • - 페이지 : pp.101-109 ( 총 9 페이지 )
  • - UCI(KEPA) :
저널정보
  • - 주제 : 공학분야 > 토목공학
  • - 성격 : 학술지
  • - 간기 : 격월
  • - 국내 등재 : KCI 등재
  • - 해외 등재 : - / SCOPUS
  • - ISSN : 1017-0715
  • - 수록범위 : 1973–2019
  • - 수록 논문수 : 2315