• 디지털융복합연구
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• 제11권2호
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• pp.235-242
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• 2013

본 연구에서는 정보원천 신뢰도 이론(source credibility theory)을 기반으로 비개인화된(non-personalized) 추천시스템의 일종인 평판시스템(reputation system)을 위한 평판 순위결정기법을 제안하고, 이러닝 콘텐츠 서비스에 적합한 평판시스템 모형을 제시하였다. 정보원천 신뢰도 요인 중 온라인 구전에 적합한 두 가지 요인(expertise, co-orientation)을 기반으로 사용자 평판정보를 암묵적으로 추출하는 기법을 제안하였다. 즉, 사용자의 과거 이러닝 콘텐츠 평가 정보로부터 사용자의 두 가지 신뢰도 요인을 자동적으로 추출하는 방법을 정의하고, 사용자중 높은 신뢰도를 가진 소수 평가자의 정보만을 가지고 전체 사용자의 콘텐츠 평판정보를 효과적으로 예측할 수 있는 방법을 제안하였다. 콘텐츠 평판정보를 예측하는 단계에 있어, 정보원천 신뢰도 이론이 반영된 수정된 협업 필터링(collaborative filtering) 기법을 적용하였다. 한편, 다양한 평판기법들과의 성능 비교실험을 통해, 제안하는 평판시스템 모형이 명시적인 사용자 평판정보가 부족한 기업대 소비자간(B2C) 이러닝 콘텐츠 전자상거래 사이트에 적합함을 검증하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.119-124
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• 2016

According to the expansion of smartphone penetration and development of wearable device, personal context information can be easily collected. To use this information, the context aware recommender system has been actively studied. The key issue in this field is how to deal with the context information, as users are influenced by different contexts while rating items. But measuring the similarity among contexts is not a trivial task. To solve this problem, we propose context aware post-filtering to apply the context compensation. To be specific, we calculate the compensation for different context information by measuring their average. After reflecting the compensation of the rating data, the mechanism recommends the items to the user. Based on the item recommendation list, we recover the rating score considering the context information. To verify the effectiveness of the proposed method, we use the real movie rating dataset. Experimental evaluation shows that our proposed method outperforms several state-of-the-art approaches.

• 한국산업융합학회 논문집
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• 제15권3호
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• pp.65-69
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• 2012

Since 2010, enhancement of the building energy efficiency and certification system and public office building should have been acquiring the first grade of Building Energy Efficiency. The Building Energy Efficiency Rating evaluation tool and Dynamic Analysis Energy simulation program for Building Energy Efficiency are widely used. The suitability to those programs have been discussed as a variety of programs have been used accordingly. In this study, evaluated the characteristic of Building Energy Efficiency Rating tool(ECO2) of the business building. At a result, the variables on the Weather Data, building Profile and building Load property in hourly between those Building Energy Efficiency evaluation tools have different.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.513-517
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• 2015

Green construction has increasingly become a popular concept and standardization in the world. This paper presents an overview of a Vietnamese green building rating tool named LOTUS. This paper also presents some major similarities and differences between LOTUS and other well-known green rating tools. The interviews with some experts and practitioners about Green buildings in Vietnam have twofold aims. One is to help better understand the causes of the differences under practitioners' viewpoints. The second aim is to uncover the opportunities and the difficulties that the project stakeholders may encounter upon the implementation of Green Building construction projects in Vietnam.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1993년도 가을 학술발표회 논문집
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• pp.195-200
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• 1993

This paper develops practical and realistic reliability models and methods for the evalusion of system reliability and system reliability-based rating of R.C box-girder bridge superstructures. The precise prediction of reserved carrying capacity of bridge as a system is extremely difficult expecially when the bridges are highly redundant and significantly deteriorated or damaged. This paper proposes a new approach for the evaluation of reserved system carrying capacity of bridges in terms of equivalent system-strength, which may be defined as a bridge system-strength corresponding to the system reliability of the bridge. This can be derived from an inverse process based on the concept of FOSM form of system reliability index. The strength limit state models for R.C box-girder bridges suggested in the paper are based on the basic bending and shear strength. and the system reliability problem of box-girder superstructure is formulated as parallel-series models obtained from the FMA(Failure Mode Approach) based on major failure mechanism or critical failure states of each girder. AFOSM and IST(Importance Sampling Technique) simulation algorithm is used for the reliability analysis of the proposed models.

• KIEAE Journal
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• 제13권6호
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• pp.67-75
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• 2013

The present duration of 5 years in the Korea Green Building Certification(G-SEED) should be re-set taking into account with the needs for renewal of re-certification criteria. This study methods is to analyze the differences between the characteristics of the certification system of green building of domestic and foreign and to seek the improvement to derive the problem of detailed evaluation items of the examination. The purpose of this study is to identify some problems of re-certification criteria in the G-SEED System and to propose the renewal of certification system. Analysis of the rating criteria with a few re-certified examples of office buildings have been made. Some measures to improve the re-certification have been suggested as follows; (1) it is strongly suggested to establish re-certification rating systems that is not yet made, (2) the new criteria of re-certification bring into focus on whether buildings maintain the environmental performances of the initial status certified, and (3) thus the effective duration of re-certification needs to re-set flexibly in a way to confirm to the initial environmental performances and maintenance conditions certified.

• 한국태양에너지학회 논문집
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• 제29권5호
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• pp.59-64
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• 2009

According to the building regulation U-value limitation of window is $3.3W/m^2{\cdot}K$ in southern regions, while U-value limitation of wall is $0.35{\sim}0.58W/m^2{\cdot}K$. It means that the energy loss through windows is five times more than it through wall. Therefore, this study analyze how much it has affected building energy rating when the insulation performance of windows and walls is changed by building regulation. In conclusion, in order to obtain 2 rating thermal performance of windows is improved more than 10 percent of U-value limitation and it of wall is improved more than 20 percent. The thermal performance of windows is improved more than 20 percent of U-value limitation and it of wall is improved more than 30 percent to receive 1 rating.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2009년도 하계학술발표대회 논문집
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• pp.608-613
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• 2009

According to the building regulation U-value limitation of window is $3.3W/m^2{\cdot}K$ in southern regions, while U-value limitation of wall is $0.35{\sim}0.58W/m^2{\cdot}K$. It means that the energy loss through windows is five times more than it through wall. Therefore, this study analyze how much it has affected building energy rating when the insulation performance of windows and walls is changed by building regulation. In conclusion, in order to obtain 2 rating thermal performance of windows is improved more than 10 percent of U-value limitation and it of wall is improved more than 20 percent. The thermal performance of windows is improved more than 20 percent of U-value limitation and it of wall is improved more than 30 percent to receive 1 rating.

• Smart Structures and Systems
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• 제13권6호
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• pp.901-925
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• 2014

The reliability of a Bridge management System depends on the quality of visual inspection and the reliable estimation of bridge condition rating. However, the current practices of visual inspection have been identified with several limitations, such as: they are time-consuming, provide incomplete information, and their reliance on inspectors' experience. To overcome such limitations, this paper presents an approach of automating the prediction of condition rating for bridges based on digital image analysis. The proposed methodology encompasses image acquisition, development of 3D visualization model, image processing, and condition rating model. Under this method, scaling defect in concrete bridge components is considered as a candidate defect and the guidelines in the Ontario Structure Inspection Manual (OSIM) have been adopted for developing and testing the proposed method. The automated algorithms for scaling depth prediction and mapping of condition ratings are based on training of back propagation neural networks. The result of developed models showed better prediction capability of condition rating over the existing methods such as, Naïve Bayes Classifiers and Bagged Decision Tree.

• Asian Journal of Business Environment
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• 제8권1호
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• pp.23-29
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• 2018

Purpose - The purpose of this research is to make a comparative assessment of People Credit Funds (PCFs) ranking in Vietnam between the Circular No. 42/2016/TT-NHNN dated December 20, 2016 with the Decision No. 14/2007/QD-NHNN dated 09/4/2007 issued by the Governor of the State Bank. Research design, data, and methodology - This study is mainly based on the Circular No. 42/2016/TT-NHNN dated December 20, 2016 and the Decision No. 14/2007/QD-NHNN dated 09/4/2007 issued by the Governor of the State Bank on PCFs ranking. Results - The study paper has shown positive changes in PCFs ranking in Vietnam in accordance with the Circular No. 42/2016/TT-NHNN, such as increasing Capital Adequacy Ratio (CAR), maintaining CAR, improving assets quality, developing indicators of governance, management and control capability. These changes have implications for the development and efficient performance of PCFs in Vietnam. Conclusions - The classification and evaluation of PCFs will contribute to its healthy development. These finding support PCFs to understand more about rating methodology, significance of rating system and the importance of improving their rating. PCFs in Vietnam desire to develop their business effectively, they need to understand exactly and comply fully with regulations related to their field of operations.