• Title/Summary/Keyword: 식의 분류

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Pattern Classification of Two Classes' Problem Using Polynomial based Radial Basis Function Neural Networks (다항식기반 RBF 신경회로망을 이용한 2-클래스 문제에 대한 패턴분류)

  • Kim, Gil-Sung;Park, Byoung-Jun;Oh, Sung-Kwon
    • Proceedings of the KIEE Conference
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    • 2007.10a
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    • pp.451-452
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    • 2007
  • 본 논문에서는 다항식 기반 Radial Basis Function(RBF)신경회로망(Polynomial based Radial Basis Function Neural Networks)을 설계하고 이를 2-클래스 패턴 분류 문제에 응용하여 그 성능을 분석한다. 제안된 다항식기반 RBF 신경회로망은 입력층, 은닉층, 출력 층으로 이루어진다. 입력층은 입력 벡터의 값들을 은닉 층으로 전달하는 기능을 수행하고 은닉층은 Fuzzy c-means 클러스터링을 통하여 뉴런의 출력 값으로 내보낸다. 은닉층과 출력층사이의 연결가중치는 상수, 선형식 또는 이차식으로 이루어지며 경사 하강법에 의해 학습된다. Networks의 최종 출력은 연결가중치와 은닉층 출력의 곱에 의해 퍼지추론의 결과로서 얻어진다. 제안된 다항식기반 RBF 신경회로망은 각기 다른 4종류의 2-클래스 분류 문제에 적용 및 평가되어 분류기로써의 성능을 분석한다.

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Design for Mokgamcheon Restoration Considering Integrated Water Resources Management (IWRM) (유역통합관리를 고려한 목감천 복원설계안)

  • Lee, Kil-Seong;Park, Ki-Doo;Oh, Jin-Ho;Kang, Won-Gu
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.202-212
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    • 2010
  • 하천복원설계 절차에 따라 현상태의 유역통합관리 대안 적용 전후에 대한 수리학적 특성을 저수량과 평수량에 대해 HEC-RAS 모형과 RMA2 모형을 이용하여 분석하였으며, 기본적인 수리모형의 계산결과를 바탕으로 목감천 하천설계 구간 4.5 km에 대해 하천의 수리 수문학적 분석을 수행하였다. 그리고 목감천에서의 지배유량을 산정하여 Rosgen의 하천분류법에 의해 하천형태를 분류한 후 경험식에 의한 하천복원설계를 수행하였다. 즉, 하천형태의 분류에 따라 하도 평면형 결정 및 하상경사 예측, 경험식에 의한 하도 단면 및 하상경사의 결정, 사행파장에 의한 여울의 위치를 각각 결정하였다. 목감천 하천복원 설계를 위한 구체적인 상세설계안을 마련하기 위하여 하천복원설계에 필요한 하도 평면형, 하도 종단형, 하도 단면형을 결정하였으며, 상세 설계의 기초자료로 활용한다.

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Trend Analysis of Food Coordination-related Studies Conducted from 2000 to 2008 (국내 푸드 코디네이션 관련 연구의 동향 분석 - 2000~2008년 논문을 중심으로 -)

  • Kwon, Yong-Suk;Hong, Wan-Soo
    • Culinary science and hospitality research
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    • v.16 no.3
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    • pp.218-236
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    • 2010
  • The concept of food coordination was introduced at the end of the 1990s and has generated a great deal of interest until now. However, no standard for the classification of such studies has been established yet. This study was conducted to examine the trends in food coordination studies published from 2000 to 2008. To accomplish this, approximately 335 food coordination articles were reviewed. Classification based on content analysis and the document review were conducted based on study themes(subjects), study forms, study designs, places of application, survey area and sample types. The most important type of study identified in this review was study themes. The themes of the study were divided into the following 10 subjects: 1) studies on the definition and recognition of food coordination, 2) studies on the environment, 3) studies on colors and package designs, 4) studies on table setting, table manner and etiquette, 5) studies on photography, editorial design, identity design and menu, 6) studies on components of dining atmosphere display and table/glass ware, 7) studies on emotions and sensibility, the five senses and food coordination, 8) studies on human resources, 9) studies on reviews, food & culture and education, 10) studies on purchasing, consumer behavior and marketing. The most common subjects were the components of dining atmosphere display and table/glass ware(23.6%). In addition, 17% of the articles reviewed were conducted to study colors and package designs, 14.6% to evaluate purchasing and consumer behavior and marketing, 13.4% to evaluate the environment, and 9.6% to study food & culture and education. Overall, these five subjects accounted for more than 75% of the articles reviewed.

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The Pteridophytes Flora of Jirisan National Park, Korea (지리산국립공원의 양치식물상)

  • Gwon, Jae-Hwan;Sin, Min-Kyung;Lee, Kang-Hyup;Song, Ho-Kyung
    • Korean Journal of Environment and Ecology
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    • v.27 no.5
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    • pp.529-543
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    • 2013
  • In this study, Pteridophytes flora of Jirisan National Park were recorded 135 taxa, and they belong to 21 families, 39 genera, 123 species, 11 varieties and 1 forma. In the field, 38 taxa were not found on literature exists and 22 taxa were newly confirmed. The results obtained from this study were as follows: Deciduous (d), Evergreen (e) and Summer-deciduous (sd) were calculated as 50.0%, 46.3%, 2.2%, respectively and the Deciduous (d) has the highest value compared to the other leaf phenologies. It observed from the life-form spectra that Hemicryptophytes (H) was the most common dormancy form at 44.8%. Geophytes (G), Epiphytes (E), Hydatophytes (HH), Therophytes (Th) and Chamaephytes (Ch) were calculated at 26.1%, 10.5%, 4.5%, 0.8% and 13.4%, respectively.

Causal Relation Extraction Using Cue Phrases and Lexical Pair Probabilities (단서 구문과 어휘 쌍 확률을 이용한 인과관계 추출)

  • Chang, Du-Seong;Choi, Key-Sun
    • Annual Conference on Human and Language Technology
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    • 2003.10d
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    • pp.163-169
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    • 2003
  • 현재의 질의응답 시스템은 TREC(Text Retrieval Conference) 질의집합에 대해 최대 80% 정도의 응답 성공률을 보이고 있다. 하지만 질의 유형에 다라 성능의 많은 차이가 있으며, 인과관계에 대한 질의에 대해서는 매우 낮은 응답 성공률을 보이고 있다. 본 연구는 인접한 두 문장 혹은 두 문장 혹은 두 명사구 사이에 존재하는 인과관계를 추출하고자 한다. 기존의 명사구 간 인과관계 추출 연구에서는 인과관계 단서구문과 두 명사구의 의미를 주요한 정보로 사용하였으나, 사전 미등록어가 사용되었을 때 올바른 선택을 하기 어려웠다. 또한, 학습 코퍼스에 대한 인과관계 부착과정이 선행되어야 하며, 다량의 학습자료를 사용하기가 어려웠다. 본 연구에서는 인과관계 명사구 쌍에서 추출된 어휘 쌍을 기존의 단서구문과 같이 사용하는 방법을 제안한다. 인과관계 분류를 위해 나이브 베이즈 분류기를 사용하였으며, 비지도식 학습과정을 사용하였다. 제안된 분류 모델은 기존의 분류 모델과 달리 사전 미등록어에 의한 성능 저하가 없으며, 학습 코퍼스의 인과관계 분류 작업이 선행될 필요 없다. 문장 내 명사구간의 인과관계 추출 실험 결과 79.07%의 정확도를 얻었다. 이러한 결과는 단서구문과 명사구 의미를 이용한 방법에 비해 6.32% 향상된 결과이며, 지도식 학습방식을 통해 얻은 방법과 유사한 결과이다. 또한 제안된 학습 및 분류 모델은 문장간의 인과관계 추출에도 적용가능하며, 한국어에서 인접한 두 문장간의 인과관계 추출 실험에서 74.68%의 정확도를 보였다.

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The Study of Vascular Plants in Hwangseong Park, Gyeongju-si (경주 황성공원의 관속식물상 연구)

  • You, Ju-Han;Kim, Young-Hun;Chen, Geng
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.38 no.3
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    • pp.35-49
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    • 2020
  • The purpose of this study is to provide the baseline data for conservation and management of the ecosystem of urban forest by surveying and analysing the vascular plants distributed in Hwangseong Park, Gyeongju-si. The results of the survey of vascular plants from April 2018 to May 2020 were summarized as 338 taxa including 78 families, 222 genera, 296 species, 5 subspecies, 18 varieties, 6 forms, 4 hybrids and 9 cultivars, and 110 taxa of planted species and 235 taxa of native species were identified. The representative planting species was Liriope muscari. The 7 taxa of rare plants and 5 taxa of Korean endemic plants were investigated. The specific plants by floristic region were totally 24 taxa, which were 1 taxa of grade V, 4 taxa of grade IV, 7 taxa of grade III, 4 taxa of grade II and 8 taxa of grade I. The 57 taxa of naturalized plants and 6 taxa of invasive alien plants were showed. In particular, Chionanthus retusus represent traditional landscape trees in Korea and have high ecological value. Therefore, the old trees of Chionanthus retusus will have to be managed by assigning a number for each individual. The invasive alien plants will need periodic control and development of programs that can work in conjunction with civic groups.

A Study on the Historical Changes and Improvements in Food and Culture in the Korean Decimal Classification (음식 문화 분야에서 KDC의 변천 및 개선 방안에 관한 연구)

  • Lee, Mi-Hwa;Chung, Yeon-Kyoung
    • Journal of the Korean Society for Library and Information Science
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    • v.44 no.2
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    • pp.117-137
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    • 2010
  • The purposes of this study are to review the historical development of food and culture in the KDC (Korean Decimal Classification) and to propose improvements of the KDC to classify materials of food and culture by using the KDC effectively. First of all, changes of classification numbers and headings related to food and culture from the 1st edition to the 5th edition of the KDC were examined. Recent books about food and culture were examined and were classified according to the latest edition of the KDC. Several problems were found including a lack of headings, including notes in food and culture, a lack of headings about Korean foods in particular and reflections about various foods from other countries, a lack of detailed relative headings, and the remaining western oriented headings. Other classification systems about food and culture were analyzed and it was found that there was a need to have new headings for classifying Korean traditional foods and table services, new formats for a relative index, detailed notes, and changes in western oriented headings.

Vascular Plants Distributed in Mt. Danseok District, Gyeongju National Park (경주국립공원 단석산지구에 분포하는 관속식물상)

  • You, Ju Han;Kwon, Soon Young
    • Korean Journal of Plant Resources
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    • v.30 no.5
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    • pp.507-521
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    • 2017
  • This study was carried out to the vascular plants in Mt. Danseok (827 m) District, Gyeongju National Park and provide a basic data for the conservation and management of natural resources. The vascular plants were surveyed from May 2011 to October 2016. The flora on Mt. Danseok District was classified as follows. Based on voucher specimens, the flora of this site consisted of 97 families, 331 genera, 489 species, 4 subspecies, 48 varieties and 11 forms. The 11 taxa of rare plants and 14 taxa of Korean endemic plants were investigated. The specific plants by floristic region found in this site 50 taxa comprising 1 taxa of grade V, 5 taxa of grade VI, 8 taxa of grade III, 12 taxa of grade II and 24 taxa of grade I. The 37 taxa of naturalized plants and 2 taxa of invasive alien plants were investigated.

Developing a Vehicle Classification Algorithm Based on the Trend Line to Vehicle Lengths and Wheelbases (차량길이와 축거의 추세선을 이용한 차종분류 알고리즘 개발)

  • Kim, Hyeong-Su;Kim, Min-Seong;O, Ju-Sam
    • Journal of Korean Society of Transportation
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    • v.27 no.4
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    • pp.55-61
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    • 2009
  • In order to observe the impact of a type of vehicles for traffic flows and pavement, vehicle classifications is conducted. Korean Ministry of Land, Transport and Maritime Affairs provides 12-type vehicle classifications on National expressways, National highways, and Provincial roads. Current AVC (Automatic Vehicle Classification) devices decide vehicle types comparing measurements of vehicle lengths, wheelbases, overhangs etc. to a reference table including those of all types of models. This study developed an algorithm for macroscopic vehicle classification which is less sensitive to tuning sensors and updating the reference table. For those characteristics, trend lines in vehicle lengths and wheelbases are employed. To assess the algorithm developed, vehicle lengths and wheelbases were collected from an AVC device. In this experiment, this algorithm showed the accuracy of 88.2 % compared to true values obtained from video replaying. Our efforts in this study are expected to contribute to developing devices for macroscopic vehicle classification.