• Title/Summary/Keyword: 쌍대

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Correlation Analysis of the Arirangs Based on the Informatics Algorithms (정보 알고리즘 기반 아리랑의 계통도 및 상관관계 분석)

  • Kim, Hak Yong
    • The Journal of the Korea Contents Association
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    • v.14 no.4
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    • pp.407-417
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    • 2014
  • An arirang is the most famous Korean folk song and was registered in UNESCO(Unitied Nations Educational, Scientific and cultural Organization) as an intangible cultural heritage in 2012. Most arirangs are composed of text and refrain parts. Genealogy of the arirang was classified in refrain patterns by using multiple sequence alignment algorithm. There are two different refrain patterns, slow and fast melodies. Of 106 arirangs, 38 and 68 arirangs contain fast and slow melodies, respectively. 73 arirangs and 104 their key words were extracted from bipartate arirang network that composed of arirangs, text works, and their relationships. The correlation among the arirangs was analyzed from the selected arirangs and key words by using pairwise comparison matrix. Also, analysis of correlation among the arirnags was performed by stepwise removal of the single degree nodes from the bipartate arirang network In this study, arirangs were analyzed in genealogy and correlation among arirangs by using informatic algorithm and network technology, in which arirang research will be constructed a stepping stone for the popularization and globalization of the arirangs.

The Study on U-Service Priority for Low-Income People Using AHP (계층화분석법을 이용한 저소득층 u-서비스 적용 우선순위에 관한 연구)

  • Byun, Wan-Hee;Yang, Dong-Suk;Kee, Ho-Young;Jeong, Man-Chul
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.10 no.1
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    • pp.100-111
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    • 2011
  • u-City(ubiquitous city) pursuing competitiveness of city and improvement the quality of life needs high cost to build and operate it. But not all people get a benefit by u-City. It is important that low-income people have experienced information divide gain practical benefits in u-City. In this paper, first we selected suitable item of u-service for low-income people and then drew a order of priority using AHP method about legal and institutional conditions, possibility of technical realization, and the generalization. As a result, we prioritize to u-service for low-income people, that is the order is prevention for missing a dotard, safety of street, and information providing about job and employment.

Prioritize Security Strategy based on Enterprise Type Classification Using Pair Comparison (쌍대비교를 활용한 기업 유형 분류에 따른 보안 전략 우선순위 결정)

  • Kim, Hee-Ohl;Baek, Dong-Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.4
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    • pp.97-105
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    • 2016
  • As information system is getting higher and amount of information assets is increasing, skills of threatening subjects are more advanced, so that it threatens precious information assets of ours. The purpose of this study is to present a strategic direction for the types of companies seeking access to information security. The framework classifies companies into eight types so company can receive help in making decisions for the development of information security strategy depending on the type of company it belongs to. Paired comparison method survey conducted by a group of information security experts to determine the priority and the relative importance of information security management elements. The factors used in the security response strategy are the combination of the information security international certification standard ISO 27001, domestic information protection management system certification K-ISMS, and personal information security management system certification PIMS. Paired comparison method was then used to determine strategy alternative priorities for each type. Paired comparisons were conducted to select the most applicable factors among the 12 strategic factors. Paired comparison method questionnaire was conducted through e-mail and direct questionnaire survey of 18 experts who were engaged in security related tasks such as security control, architect, security consulting. This study is based on the idea that it is important not to use a consistent approach for effective implementation of information security but to change security strategy alternatives according to the type of company. The results of this study are expected to help the decision makers to produce results that will serve as the basis for companies seeking access to information security first or companies seeking to establish new information security strategies.

Development of Preliminary Hazard Ranking System for Underground Storage Tanks Using Geographic Information System (GIS) (GIS를 이용한 지하저장탱크의 위해성 예비평가체계 개발)

  • 황상일;이상훈;이동수
    • Journal of the Korean Society of Groundwater Environment
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    • v.4 no.3
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    • pp.122-129
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    • 1997
  • Spills or leaks of hazardous organic. compounds from underground storage tanks (USTs) are common contaminant sources of soil and groundwater. It would aid in managing USTs to assess and rank the potential environmental hazard posed by the USTs. Therefore, a preliminary hazard ranking system of USTs is developed in this study. The system is combined with GIS and consists of five steps: 1) selection of significant factors, 2) determination of the hierarchy of the factors. 3) determination of the weights, 4) calculation of the potential hazard, and 5) hazard assessment. The system is applied to the gas stations in Kwanak-gu, Seoul. The results indicate that the gas stations can be categorized in three groups as highly hazardous, less highly hazardous, and weakly hazardous. Seven gas stations belong to the highly hazardous group. Through the sensitivity analysis, four stations appear to possess high hazard potentials regardless of weights assigned to the factors. It appears that a user can make flexible application of the hazard ranking system with the user's experience and particular purposes. However, the system still needs validations against field survey data.

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Optimal PWM Control of Converter for Minimizing Sources Harmonic Componets (전원 고주파분을 최소화하기 위한 콘버어터의 Optimal PWM 제어)

  • 임달호;김민수;정동화
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.1 no.1
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    • pp.75-82
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    • 1987
  • Application of conventional phase controlled power electronic circuits causes reduced power factor and increased harmonic component in the electric sources. Therefore, an Optimal PWM strategy has been investigated here in order to reduce to a large extent these effects mentioned. Optimal PWM converter has been to minimize the rms harmonic current in the sources and has been found to have a duality with Optimal PWM inverter. The voltage patterns of Optimal PWM Inverters are governed by the same switching patterns and control laws as the current patterns for Optimal PWM converter. The improvement requires switching devices having a high speed capability. While this formerly did require thyristors with force commutation circuits, today this feature is easily implemented by using power Transistor or GTOs. The control laws for minimizing the rms harmonics current in the source, the circuits and the results are shown in the paper.

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Fuzzy Analytic Hierarchy Process for the Evaluation of Old Dwelling Façade Design Factor

  • Park, Jin-A
    • Science of Emotion and Sensibility
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    • v.16 no.3
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    • pp.333-340
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    • 2013
  • The purpose of this paper is to evaluate facade design factors of old dwellings using a Fuzzy Analytical Hierarchy Process (AHP) based on a pairwise comparison analysis using "Façade Design Factors" as evaluation criteria. Traditional old dwellings were presented and evaluated. A Fuzzy AHP based model was used for pairwise comparison of traditional old dwellings, whereby seven criteria and nine alternatives were described through a questionnaire and constructional data. The Fuzzy AHP was used to determine the impact of the facade design factors, because "Traditional" old dwellings are identified by the combination of their facade design factors. Furthermore, the fuzzy AHP is used to verify the feasibility and efficiency of this approach as well as for extent analysis to comprehend the priority of the traditional old dwellings using a sensibility measuring scale.

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Methodology to Quantify Rock Behavior in Shallow Rock Tunnels by Analytic Hierarchy Process and Rock Engineering Systems (계층 분석적 의사결정과 암반 공학 시스템에 의한 저심도 암반터널에서의 암반거동 유형 정량화 방법론)

  • Yoo, Young-Il;Kim, Man-Kwang;Song, Jae-Joon
    • Tunnel and Underground Space
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    • v.18 no.6
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    • pp.465-479
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    • 2008
  • For the quantitative identification of rock behavior in shallow tunnels, we recommend using the rock behavior index (RBI) by the analytic hierarchy process (AHP) and the Rock Engineering Systems (RES). AHP and RES can aid engineers in effectively determining complex and un-structured rock behavior utilizing a structured pair-wise comparison matrix and an interaction matrix, respectively. Rock behavior types are categorized as rock fall, cave-in, and plastic deformation. Seven parameters influencing rock behavior for shallow depth rock tunnel are determined: uniaxial compressive strength, rock quality designation (RQD), joint surface condition, stress, pound water, earthquake, and tunnel span. They are classified into rock mass intrinsic, rock mass extrinsic, and design parameters. An advantage of this procedure is its ability to obtain each parameter's weight. We applied the proposed method to the basic design of Seoul Metro Line O and quantified the rock behavior into RBI on rock fall, cave-in, and plastic deformation. The study results demonstrate that AHP and RES can give engineers quantitative information on rock behavior.

An Iterative Approach to the Estimation of CO2 Abatement Costs (방향성 벡터 일반화를 통한 이산화탄소의 한계저감비용 연구)

  • Repkine, Alexandre;Min, Dongki
    • Environmental and Resource Economics Review
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    • v.22 no.3
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    • pp.499-520
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    • 2013
  • This study proposes an iterative approach to the estimation of the marginal abatement costs of undesirable outputs by computing the slope of the efficient production possibilities frontier on the basis of the efficient projection points generated by the directional output distance function approach due to Fare et al. (2005) based on duality theory. In case of the latter methodology, the estimated marginal abatement costs differ significantly depending on the choice of the directional output vector. In addition, depending on the curvature of the underlying PPF the efficient projection points may be located at a significant distance away from their actually observed counterparts. While it would be more logical to estimate marginal abatement costs as a PPF slope at a point corresponding to the actually observed emissions level, the methodology based on duality theory is likely to produce unstable results due to the problems associated with applying the theorem of implicit function differentiation. Since our methodology is not based on duality theory, our results are immune to both of these problems. We apply our methodology to a sample of Western European countries for the period of 1995-2011 to illustrate our approach.

A Posterior Preference Articulation Method to Dual-Response Surface Optimization: Selection of the Most Preferred Solution Using TOPSIS (쌍대반응표면최적화를 위한 사후선호도반영법: TOPSIS를 활용한 최고선호해 선택)

  • Jeong, In-Jun
    • Knowledge Management Research
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    • v.19 no.2
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    • pp.151-162
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    • 2018
  • Response surface methodology (RSM) is one of popular tools to support a systematic improvement of quality of design in the product and process development stages. It consists of statistical modeling and optimization tools. RSM can be viewed as a knowledge management tool in that it systemizes knowledge about a manufacturing process through a big data analysis on products and processes. The conventional RSM aims to optimize the mean of a response, whereas dual-response surface optimization (DRSO), a special case of RSM, considers not only the mean of a response but also its variability or standard deviation for optimization. Recently, a posterior preference articulation approach receives attention in the DRSO literature. The posterior approach first seeks all (or most) of the nondominated solutions with no articulation of a decision maker (DM)'s preference. The DM then selects the best one from the set of nondominated solutions a posteriori. This method has a strength that the DM can understand the trade-off between the mean and standard deviation well by looking around the nondominated solutions. A posterior method has been proposed for DRSO. It employs an interval selection strategy for the selection step. This strategy has a limitation increasing inefficiency and complexity due to too many iterations when handling a great number (e.g., thousands ~ tens of thousands) of nondominated solutions. In this paper, a TOPSIS-based method is proposed to support a simple and efficient selection of the most preferred solution. The proposed method is illustrated through a typical DRSO problem and compared with the existing posterior method.

The Method for Cloud Service Recommendation Based on Requirements of Tenant (테넌트 요구사항 기반의 클라우드 서비스 추천 방법)

  • An, Young Min;Kang, Tae Jun;Park, Joon Seok;Yeom, Keun Hyuk
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.4
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    • pp.161-168
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    • 2015
  • It is difficult to provide proper cloud services for cloud users, because the number of cloud services are increasing and the type of cloud services are diversifying. To overcome this problem, the concept of cloud service broker is presented to mediate cloud services between cloud providers and tenant. The most important role of cloud service broker is to finding cloud services that fulfill requirements of tenant. However, current existing cloud service broker conduct passive requirements analysis process with cloud service expert's assistance. In addition, the systematic functional and non-functional requirement analysis is insufficient. Therefore, we need the new methods for requirement analysis to find nearest service that matches with requirement of tenant. In this paper, we apply pairwise comparison from AHP method to analyze requirement automatically and systematically. It calculates score of service by comparing requirement with service specification, calculating importance rate, and so on.