• Title/Summary/Keyword: 7단계 접근방법

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Development of Ecodesign Methodology for Developing Eco-friendly Automobile Parts (친환경자동차 부품 개발을 위한 Ecodesign 방법 개발)

  • Jeong, In-Tae;Song, Jun-Il;Lee, Kun-Mo;Hong, John-Hee
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.4
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    • pp.421-428
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    • 2006
  • Systematic improvement of the environmental performance of industrial products is a core element of good business. Improving the overall environmental performance of products is envisaged as one of the most important strategic goals and objectives in many company policies. This paper demonstrates an Ecodesign approach to develop a product in a systematical way. The objective of this research is two-folds-describing a systematic procedure of implementing Ecodesign in a company and giving a real case example to demonstrate the application of the proposed Ecodesign methodology. The methodology was based on Wimmer et al and consists of seven steps out of the twelve steps for integrating significant environmental aspects of a product and environmental issues resulting from the stakeholder requirements into product design and development. Together with the Ecodesign team of a major domestic car manufacturer the Ecodesign of a car fuel tank unit has been chosen for the case study presented in the paper. The application of the proposed methodology to the fuel tank unit of a car indicates that practical target specifications of the fuel tank unit were derived systematically. This indicates that the seven steps approach can be a viable Ecodesign method for manufacturers to integrate environmental aspects of their products into their product design and development processes.

Class Language Model based on Word Embedding and POS Tagging (워드 임베딩과 품사 태깅을 이용한 클래스 언어모델 연구)

  • Chung, Euisok;Park, Jeon-Gue
    • KIISE Transactions on Computing Practices
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    • v.22 no.7
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    • pp.315-319
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    • 2016
  • Recurrent neural network based language models (RNN LM) have shown improved results in language model researches. The RNN LMs are limited to post processing sessions, such as the N-best rescoring step of the wFST based speech recognition. However, it has considerable vocabulary problems that require large computing powers for the LM training. In this paper, we try to find the 1st pass N-gram model using word embedding, which is the simplified deep neural network. The class based language model (LM) can be a way to approach to this issue. We have built class based vocabulary through word embedding, by combining the class LM with word N-gram LM to evaluate the performance of LMs. In addition, we propose that part-of-speech (POS) tagging based LM shows an improvement of perplexity in all types of the LM tests.

환경관련 의사결정을 위한 환경영향지수 - 전력산업을 중심으로 -

  • Yu, Seung-Hun;Gwak, Seung-Jun;Kim, Tae-Yu
    • Environmental and Resource Economics Review
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    • v.7 no.2
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    • pp.111-135
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    • 1998
  • 전력산업은 환경문제로 인해 사업수행이 점차 어려워지고 있으며, 전원개발계획 수립을 위한 의사결정 단계에서 환경외부성을 고려하는 문제가 중요하게 대두되고 있다. 본 연구는 전력계획수립의 초기단계에서 환경문제를 통합하기 위한 노력의 일환으로, 다속성 효용이론(Multi-Attribute Utility Theory: MAUT)을 적용하여 환경영향의 다속성 지수를 구성하는 접근방법을 제시한다. 먼저 연구배경과 제안된 방법론을 개괄적으로 살펴본 후, 기술적인 판단과 가치 판단에 근거한 지수구성에 요구되는 제반 가정 및 단계를 소개한다. 다음으로, 우리 나라의 전력산업에 대한 실증분석을 통해 다속성 지수를 도출한다. 마지막으로 환경지수와 화폐 간의 트레이드-오프(trade-off) 관계를 분석하여 환경의 사회적 가치(societal value)를 도출하고 연구결과의 유용성에 대해 설명한다.

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A Two-Pass Algorithm for Fast Retrieval of Korean Words (한글 단어의 고속 검색을 위한 두 단계 알고리즘)

  • 양진호;오일석
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.439-441
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    • 2001
  • 대용량 한글 문서를 대상으로 하는 검색 시스템은 고속의 단어 매칭 알고리즘을 필요로 한다. 이 논문은 두 단계 매칭 접근 방법을 제시하고 그 유용성을 실험을 통해 입증한다. 특징으로는 웨이브렛(wavelet) 계수를 사용하여 첫 단계에서는 적은 수의 특징만을 사용하여, 거친 정합(coarse matching)을 하며 두 번째 단계에서는 미세한 정합(fine matching)을 한다. 거친 정합은 가능성이 없는 단어를 아주 빠른 속도로 걸러내는 역할을 한다. 실제 한글 단어 영상 데이터베이스에 적용한 실험 결과 검색률의 희생 없이 약 7배의 속도 향상을 얻었다.

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Analysis on the Trends in Researches of Public Service of the Library (도서관의 공공서비스에 대한 연구경향 분석)

  • Kang, Mi-Hee
    • Journal of Korean Library and Information Science Society
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    • v.45 no.2
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    • pp.361-394
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    • 2014
  • The purpose of this study is to analyze the trends in researches of public service of the library. The subjects of analysis are a 'Journal of the Korean Society for Library and Information Science', 'Journal of the Korean Library and Information Science Society', 'Journal of the Korean Society for Information Management' an 'Korean Biblia Society for Library and Information Science' ; and the standards of analysis are approach, research method, service delivery stage and service objects. The analysis results are as follows: First, as for the approach, it is consisted of 46(19.4%) normative orientation study, 93(39.2%) empirical orientation study, 64(27.0) practical orientation study and 34(14.5%) others, so it was being carried out empirical orientation study mostly. Second, as for the research method, it was consisted of 94(38.1%) quantitative researches, 123(49.8%) qualitative researches and 30(12.1) others, so it was carried out quantitative researches about 10% more. Third, as for the service delivery stage, while there were 124(35.7%) researches on input stage such as manpower, budget and facilities etc, there were 187(53.9%) researches on result stage such as effects and satisfaction etc, so there were many researches on the result element. Fourth, as for the providers of service objects, there were 211(89.0%) researches on public libraries mainly which exceed much more than other libraries, and as for the recipients, there were 183(77.2%) researches on general users which show overwhelming superiority more than such as children, the elderly and multi-cultural family etc. As the results to analyze the trend in researches on public service of the library during 15 years like above, it was possible to know that it was carried out empirical researches than normative researches and practical researches, and researches for general users of public libraries.

Kansas Vegetation Mapping Using Multi-Temporal Remote Sensing Data: A Hybrid Approach (계절별 위성자료를 이용한 미국 캔자스주 식생 분류 - 하이브리드 접근방식의 적용 -)

  • ;Stephen Egbert;Dana Peterson;Aimee Stewart;Chris Lauver;Kevin Price;Clayton Blodgett;Jack Cully, Jr,;Glennis Kaufman
    • Journal of the Korean Geographical Society
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    • v.38 no.5
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    • pp.667-685
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    • 2003
  • To address the requirements of gap analysis for species protection, as well as the needs of state and federal agencies for detailed digital land cover, a 43-class map at the vegetation alliance level was created for the state of Kansas using multi-temporal Thematic Mapper imagery. The mapping approach included the use of three-date multi-seasonal imagery, a two-stage classification approach that first masked out cropland areas using unsupervised classification and then mapped natural vegetation with supervised classification, visualization techniques utilizing a map of small multiples and field experts, and extensive use of ancillary data in post-hoc processing. Accuracy assessment was conducted at three levels of generalization (Anderson Level I, vegetation formation, and vegetation alliance) and three cross-tabulation approaches. Overall accuracy ranged from 51.7% to 89.4%, depending on level of generalization, while accuracy figures for individual alliance classes varied by area covered and level of sampling.

Build up management mind of the construction expert engineer (건설전문기술자의 경영마인드 정립에 관한 연구)

  • Chun, Jin-Ku;Kim, Byeong-Soo
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.3 s.31
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    • pp.45-55
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    • 2006
  • This study aims need set of mind to construction manager built a theory logic conceive decision making system and principles designed to create the administrative procedures that a company needs to integrate management and environmental concerns into its daily business practices. Integrate considerations of risk reduction and wise resource management into daily business decision making environmental that includes performance and cost. Seek to make better Dynamic time solutions that promote competitiveness set of management mind provide business with tools and methodologies management participation, psychology, philosophy effects of resource flows. A last of understand use of the decision making element principal as a guideline for evaluating and ranking approaches. The result of this study are summarized as follows; (1) setting for approach decision making of manager police, (2) dynamic of time and management mind (3) a primary factor out environment to decision making (4) methodologies of set up system for management mind (5) expectation effect of management mind.

A Software Design Methodology Integrating Evaluation Method of Architectural Design Approaches (아키텍처기반 설계 방식에 대한 평가기능이 통합된 소프트웨어 설계 방법론)

  • Koh, Hyon-Hee;Kung, Sang-Hwan;Park, Jae-Nyon
    • Journal of KIISE:Software and Applications
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    • v.34 no.7
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    • pp.625-634
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    • 2007
  • Due to the software is getting complex and large, software architecture design is issued for success of project. In the design phase, selection of the suitable architectural approach is very important. In this thesis, we identify the architectural approach alternatives in the design phase. And the evaluation method to choose architectural approaches and the architecture design methodology integrated with that evaluation method are proposed In the proposed architecture evaluation method and the architecture design methodolody, we intend to raise reliability, completeness of design and reduce development costs.

Classification of Imbalanced Data Using Multilayer Perceptrons (다층퍼셉트론에 의한 불균현 데이터의 학습 방법)

  • Oh, Sang-Hoon
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.141-148
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    • 2009
  • Recently there have been many research efforts focused on imbalanced data classification problems, since they are pervasive but hard to be solved. Approaches to the imbalanced data problems can be categorized into data level approach using re-sampling, algorithmic level one using cost functions, and ensembles of basic classifiers for performance improvement. As an algorithmic level approach, this paper proposes to use multilayer perceptrons with higher-order error functions. The error functions intensify the training of minority class patterns and weaken the training of majority class patterns. Mammography and thyroid data-sets are used to verify the superiority of the proposed method over the other methods such as mean-squared error, two-phase, and threshold moving methods.

Two-Level Machine Learning Approach to Identify Maximal Noun Phrase in Chinese (두 단계 학습을 통한 중국어 최장명사구 자동식별)

  • Yin, Chang-Hao;Lee, Yong-Hun;Jin, Mei-Xun;Kim, Dong-Il;Lee, Jong-Hyeok
    • Annual Conference on Human and Language Technology
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    • 2004.10d
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    • pp.53-61
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    • 2004
  • 일반적으로 중국어의 명사구는 기본명사구(base noun phrase), 최장명사구(maximal noun phrase) 등으로 분류된다. 최장명사구에 대한 정확한 식별은 문장의 전체적인 구조를 파악하고 정확한 구문 트리(parse tree)를 찾아내는데 중요한 역할을 한다. 본 논문은 두 단계 학습모델을 이용하여 최장명사구 자동식별을 진행한다. 먼저 기본명사구, 기본동사구, 기본형용사구, 기본부사구, 기본수량사구, 기본단문구, 기본전치사구, 기본방향사구 등 8가지 기본구를 식별한다. 다음 기본구의 중심어(head)를 추출해 내고 이 정보를 이용하여 최장명사구의 식별을 진행한다. 본 논문에서 제안하는 방법은 기존의 단어레벨의 접근방법과는 달리구레벨에서 학습을 진행하기 때문에 주변문맥의 정보를 많이 고려해야 하는 최장명사구 식별에 있어서 아주 효과적인 접근방법이다. 후처리 작업을 하지 않고 기본구의 식별에서 25개 기본구 태그의 평균 F-measure가 96%, 평균길이가 7인 최장명사구의 식별에서 4개 태그의 평균 F-measure가 92.5%로 좋은 성능을 보여주었다.

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