• Title/Summary/Keyword: 영향범주

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A Comparative Study on the Environmental Impacts by Concrete Strength Using End-point LCA methodology (피해산정형 전과정평가 기법을 적용한 콘크리트 압축강도별 환경영향 비교 분석 연구)

  • Kim, Sung-Hee;Tae, Sung-Ho;Chae, Chang-U
    • Journal of the Korea Concrete Institute
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    • v.26 no.4
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    • pp.465-474
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    • 2014
  • This is a comparative study that shows the overall environmental impacts from concrete structures when different compressive strength of concrete applied to structural systems having the same reference flow with different durability. A total of 24 MPa, 40 MPa and 60 MPa cases is analyzed to define the characteristic using end-point perspective LCA methodology including the stages of production, construction, maintenance and disposal. As results, global warming, non-renewable energy and respiratory inorganics problems are the major issues for assessing environmental impacts of concrete products.

Feature Selection for Document Classification (문서 분류를 위한 특징 선택)

  • Jin, Hoon;Kim, In-Cheol
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04b
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    • pp.262-264
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    • 2001
  • 본 논문은 덱스트 형태로 존재하는 문서가 특정 범주가 특정 범주에 속하는 지를 판별하는데 있어서 그 문서를 표현하고 있는 특징을 어떻게 선택할 것인가와 얼마나 선택할 것인가가 미치는 영향을 실험을 통하여 측정하였다. 우리는 실험을 통하여 특징 선택 방법이 분류 성능에 미치는 영향을 알아보고자 하였고, 특징의 개수와 분류 성능과의 상관관계, 그리고 범주의 개수와 특징의 개수와의 관계를 규명하고자 하였다. 결과를 통하여 우리는 뉴스 그룹 문서의 경우 그 분포상황의 특이성에 기인하여 정보획득 방법이 가장 좋은 성능을 냄을 알 수 있었고, 문서의 특징의 개수에 따라 성능에 있어서 커다란 차이가 있음도 알게 되었다. 또한 정보획득 방법과 나이브 베이지안 분류방법을 이용했을 때 가장 좋은 성능을 도출하는 특징의 개수가 범주의 개수에 비례함을 알 수 있었다.

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The Structure and Processing of the Korean functional category (한국어 기능범주의 정보처리)

  • 황유미;문영선;박혜성;남기춘
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2000.05a
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    • pp.273-278
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    • 2000
  • 본 연구는 한국어 기능 범주(functional category)의 처리를 살펴보기 위하여 실문법증 환자를 대상으로 실시되었다. 일반적으로 수형도에서 기능 범주는 보문소구(Complementizer Phrase), 시제구(Tenxe Phrase), 일치소구(Agreement Phrase)의 순으로 구성되어 있다. 본 실험은 Grodzinsky(1997)의 수형도 가지치기 가설과 실문법증의 엄밀성 척도를 바탕으로 한국어 기능 범주의 처리에 있어서도 두 가지 가설의 적용이 타당한지 여부를 검증하기 위해 실시되었다. 실험 1은 일치소(Agr)의 처리를 살펴보기 위하여 실시되었는데, 국어의 존칭 선어말 어미를 중심으로 살펴보았다. 국어의 존칭선어말 어미는 크게 '-시-'삽입에 의한 존칭과 다른 어휘로 대체하는 보충법에 의한 존칭으로 구분된다. '-시-'삽입에 의한 존칭은 AgrP의 범주로 보충법에 의한 존칭은 동사구(Verb Phrase)의 범주로 설정하여 문법에 어려움을 보이는 실문법증의 경우 어휘부에 혹하는 보충법에 의한 존칭을 문법범주에 속하는 '-시-'삽입의 존칭보다 더 잘 할 것으로 가정하였다. 실험 2는 AgrP의 범주인 '-시-'선택의 장애가 TPqja주인 시제 선택에 역시 영향을 미칠 것이라는 가정아래 설계되었다. 수형도 상에서 '-시-'는 일치소(Agr)로서 시제(TP)의 아래에 위치하므로 실험 3은 '-시-'삽입 존칭과 시제에서 어려움이 보문소(CP)의 선택에 역시 영향을 미칠 것이라는 가정하에서 실시되었다. 실험 1의 결과 '-시-'삽입에 의한 존칭을 처리하는데 보충법에 의한 존칭보다 어려움을 보였다. 실험 2의 결과 '-시-'삽입 존칭에 어려움을 보인 환자는 시제 선어말 어미를 선택하는데도 어려움을 보임이 확인되었다. 실험 3 역시 실험 1과 실험2에서와 동일하게 처리의 어려움을 보였다. 이러한 실험 결과들은 국어의 존칭과 시제 선어말 어미가 통사부에서 구(XP)와 결합하여 새로운 구를 형성하는 통사적 접사로 해석할 수 있으며 Grodzinsky의 가설을 지지하는 결과를 보여 줌으로서 국어에서도 AgrP, TP, CP 사이의 통사적 위계가 있음을 뒷받침하는 증거가 된다.

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The influence of brand benefit on the brand extension : focused on trademark belief and categorical similarity (소비자의 브랜드편익이 브랜드 확장에 미치는 영향 - 상표신념의 매개효과와 범주적 유사성의 조절효과를 중심으로 -)

  • Lee, Suntaek;Kim, Gwi-Gon
    • Journal of Digital Convergence
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    • v.16 no.4
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    • pp.127-135
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    • 2018
  • This study is to investigate the influence of brand benefit on brand extension, especially focusing on the mediating effect of trademark belief and the moderating effect of categorical similarity. This study restates that brand benefit affect consumers' brand extension attitude and confirms that it is completely mediated by trademark belief. In addition, this study finds that categorical similarity moderates the effects of brand benefit on brand extension attitude. The results of this study suggest a theoretical implication that trademark belief can be used as one of the brand extension strategies and a practical implication that the brand communication strategy based on brand benefits should be changed with the categorical similarity.

A Study on Information Resource Evaluation for Text Categorization (문서범주화 효율성 제고를 위한 정보원 평가에 관한 연구)

  • Chung, Eun-Kyung
    • Journal of the Korean Society for information Management
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    • v.24 no.4
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    • pp.305-321
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    • 2007
  • The purpose of this study is to examine whether the information resources referenced by human indexers during indexing process are effective on Text Categorization. More specifically, information resources from bibliographic information as well as full text information were explored in the context of a typical scientific journal article data set. The experiment results pointed out that information resources such as citation, source title, and title were not significantly different with full text. Whereas keyword was found to be significantly different with full text. The findings of this study identify that information resources referenced by human indexers can be considered good candidates for text categorization for automatic subject term assignment.

Perception and Attitude about Risk from Science & Technology-Focused on Risk from Electromagnetic Wave- (과학기술 위험에 대한 인지 및 태도 -전자파 위험을 중심으로-)

  • Song, Hae-Ryong;Kim, Won-Je;Jung, Se-Il
    • The Journal of the Korea Contents Association
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    • v.10 no.5
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    • pp.436-445
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    • 2010
  • The purpose of this research is to know what factors have impacts on their risk perception and attitude in risk communications. This research shows the research findings that the determinant factors of risk perception are the possibility to control the risk, benefits of recognition, the specialty of risk management, and the usefulness of information about the risk. And also the results have shown that the determinant factors of risk attitudes are the possibility to control the risk, the understanding of science and technology, the familiarity with the risk, the usefulness information about the risk, the accuracy of information, and the initiative in the protection of citizens from the risk. As the results have indicated, common determinant factors are the usefulness of information about the risk and the possibility to control the risk. Both of them that affect risk perception and attitudes on electromagnetic waves are important factors in risk communication research. Therefore this study shows that what factors suppose to be considered important in risk communication process about risk of electromagnetic waves.

A Study of Intrinsic and Extrinsic Semantic Features of Korean Nouns: Focusing on the Categories of Grains, Fruits and Vegetables (한국어 명사의 내재적/외재적 의미특징 연구: 곡식, 과일, 채소 범주를 중심으로)

  • 정영철;이정모
    • Korean Journal of Cognitive Science
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    • v.15 no.1
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    • pp.43-67
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    • 2004
  • Using qualitative research methodology, this study has investigated the semantic features of 39 nouns, which are classified into the categories of grains, fruits and vegetables. A survey has been conducted with a substantial number of undergraduate students, who were asked to describe any semantic features they associated with the lexical items within the three categories. The analysis of the survey data shows that the concepts of examples of fruits are defined predominantly by intrinsic semantic features, while those of grains and vegetables are defined noticeably by extrinsic semantic features rather than intrinsic ones. Intrinsic semantic features are any properties inherent in an object itself and extrinsic semantic features are defined as any properties constructed by association with other objects or personal experiences in a certain situation. However, this study does not maintain that either intrinsic or extrinsic semantic features solely define the concepts of the examples of the three categories. Instead, it concludes that both kinds of semantic features are involved in the representation of the concepts of those vocabularies, with intrinsic features salient in the category of fruits and extrinsic features salient in the categories of gains and vegetables.

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The Optimization of Ensembles for Bankruptcy Prediction (기업부도 예측 앙상블 모형의 최적화)

  • Myoung Jong Kim;Woo Seob Yun
    • Information Systems Review
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    • v.24 no.1
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    • pp.39-57
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    • 2022
  • This paper proposes the GMOPTBoost algorithm to improve the performance of the AdaBoost algorithm for bankruptcy prediction in which class imbalance problem is inherent. AdaBoost algorithm has the advantage of providing a robust learning opportunity for misclassified samples. However, there is a limitation in addressing class imbalance problem because the concept of arithmetic mean accuracy is embedded in AdaBoost algorithm. GMOPTBoost can optimize the geometric mean accuracy and effectively solve the category imbalance problem by applying Gaussian gradient descent. The samples are constructed according to the following two phases. First, five class imbalance datasets are constructed to verify the effect of the class imbalance problem on the performance of the prediction model and the performance improvement effect of GMOPTBoost. Second, class balanced data are constituted through data sampling techniques to verify the performance improvement effect of GMOPTBoost. The main results of 30 times of cross-validation analyzes are as follows. First, the class imbalance problem degrades the performance of ensembles. Second, GMOPTBoost contributes to performance improvements of AdaBoost ensembles trained on imbalanced datasets. Third, Data sampling techniques have a positive impact on performance improvement. Finally, GMOPTBoost contributes to significant performance improvement of AdaBoost ensembles trained on balanced datasets.

The Design for the fast process in the complex and various information. (복잡하고 다양한 정보 속에서 빠른 정보 처리 디자인 -색의 범주화를 통한 빠른 정보처리)

  • Min, Kyoung-Geun
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.1150-1155
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    • 2009
  • In the information society, the amount of information have been increased by technological development. It is not easy to deal with information for fast data processing because of increasing of the complexity and diversity of data. So this paper will confirm the fact that the color plays the role of the classification of complex information and can make data processing fast. Experiment 1 shows that the searching time of target(line name) is more faster when the color of a subway line is equal to the color of station`s name. Experiment 2 using the task for classification of word mixed in various categories shows that color category processing is more faster rather than semantic category processing and the effect of this task is far better when color difference is more clear.

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The effects of attribute alignment on category learning (속성간의 대응이 범주학습에 미치는 효과)

  • 이태연
    • Korean Journal of Cognitive Science
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    • v.12 no.4
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    • pp.29-39
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    • 2001
  • Kaplan(2000) reported that instances were categorized more accurate in the aligned condition than in the non-aligned condition irrespective of similarity between instances[16]. This study investigated wether Kaplan(2000)\\`s results could be explained by stimulus types she used and alignment effects in categorization were due to selective attention to aligned attributes. In Experiment 1. I examined whether attribute alignment produced significant effects on similarity and categorization and aligned attributes were recalled more than non-aligned ones. Results showed that instances were rated more similar and categories were learned more rapidly in the aligned condition than in the non-aligned condition. It can be explained that categories are learned rapidly in the aligned condition because attribute alignment increases within-category similarity. But. the result that aligned attributes were recalled more than non-aliened ones in the attribute recall test implies that alignment effects in categorization can be independent of similarity between instances partially. In Experiment 2. I used equal numbed of attributes defining two categories and instructed subjects to pay their attention to categorization-relevant dimensions only. Results showed that dimension instruction facilitated category learning in the non-aligned condition only but categories were learned more rapidly in the aligned condition than in the non-aliened condition irrespective of instruction types. In conclusion. attribute alignment in categorization may facilitate paying selective attention to categorization-relevant attributes.

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