• 한국소음진동공학회논문집
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• 제20권2호
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• pp.179-184
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• 2010

In this study, the satisfaction rating to the floor impact sound was investigated for the residents in the apartment Building where the business scheme had been approved after 2005. The results are compared with existing research. The questionnaire survey was conducted to the 597 residents in 14 apartments complex which were applied with standard floor structure and approval floor structure. Most of respondents(71.1 %) answered that the performance of floor impact sound insulation, in case of standard floor structure, was improved compared to the apartments where they used to live. Comparing with the questionnaire survey result of existing research, the answered ratio of 'less annoyed' and 'less loud' is somewhat increased.

• Management Science and Financial Engineering
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• 제11권3호
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• pp.137-153
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• 2005

Collaborative filtering-based recommendation systems make personalized recommendations based on users' ratings on products. Recommender systems must collect sufficient rating information from users to provide relevant recommendations because less user rating information results in poorer performance of recommender systems. To learn about new users, recommendation systems must first present users with an initial item list. In this study, we designed and analyzed seven selection strategies including the popularity, favorite, clustering, genre, and entropy methods. We investigated how these strategies performed using MovieLens, a public dataset. While the favorite and popularity methods tended to produce the highest average score and greatest average number of ratings, respectively, a hybrid of both favorite and popularity methods or a hybrid of demographic, favorite, and popularity methods also performed within acceptable ranges for both rating scores and numbers of ratings.

• Asia pacific journal of information systems
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• 제21권2호
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• pp.43-58
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• 2011

Support vector machines (SVMs), a machine learning technique, has been applied to not only binary classification problems such as bankruptcy prediction but also multi-class problems such as corporate credit ratings. However, in general, the performance of SVMs can be easily worse than the best alternative model to SVMs according to the selection of predictors, even though SVMs has the distinguishing feature of successfully classifying and predicting in a lot of dichotomous or multi-class problems. For overcoming the weakness of SVMs, this study has proposed an approach for selecting features for multi-class SVMs that utilize the impurity measures of classification trees. For the selection of the input features, we employed the C4.5 and CART algorithms, including the stepwise method of discriminant analysis, which is a well-known method for selecting features. We have built a multi-class SVMs model for credit rating using the above method and presented experimental results with data regarding S&P 500 companies.

• Tribology and Lubricants
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• 제13권2호
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• pp.8-15
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• 1997

It is very difficult to express the state of a tested engine objectively concerning the malfunction, failure and wear of an engine. The general method of engine evaluation is to express evaluator's opinion for the engine state after testing. However, these methods is only subjective evaluation because test engineers, designers, and evaluators does not easily coincide in opinion. Therefore, in this article, the method of engine rating are introduced in order to represent the qualitative trends into quantitative value. The purpose of Engine Rating is to assign a quantified value to the tribology state of a tested engines. Originally, this Engine Rating method have been used to evaluate the performance of engine oil quantitavely. Using this method, we can predict the proper interval of engine oil change due to its objectivity. So, we can prevent the frequent change of engine oil and protect the environmental contamination. Furthermore, this method can be used to tell the general state of a tested engine after finishing engine durability tests. A single merit scale is used to evaluate numerically the state of cleanliness and the mechanical condition. Generally, a part which is absolutely clean or shows no wear, is rated merit 10. A part which is absolutely dirty or very worn, is rated merit 0.

• 한국콘텐츠학회논문지
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• 제17권1호
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• pp.662-672
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• 2017

최근 모바일 기기와 근거리 무선 통신 기술 등의 발달로 기존 중앙 집중 처리 시스템의 한계를 개선하기 위해 모바일 P2P 네트워크에 대한 연구가 활발하게 진행되고 있다. 모바일 P2P네트워크에서 피어는 배터리, 메모리, 저장 공간 등과 같은 제한적인 요소들을 가진다. 모바일 P2P 네트워크에서 안전한 콘텐츠 공유를 위해서는 피어의 신뢰성이 판별되어야 한다. 본 논문에서는 제한된 모바일 P2P 네트워크에서 신뢰도를 판별하는 기법을 제안한다. 제안하는 기법은 피어의 평가 정보를 이용하여 직접적으로 피어가 평가한 값과 다른 피어가 평가한 간접적인 평가 값을 이용하여 피어의 신뢰성을 판별한다. 피어가 가지는 평가 정보로 최근 갱신 시간을 활용한다. 피어 평가 정보의 최근 갱신 시간을 비교하여 평가 정보 공유 시 중복되는 평가 정보를 감소시킨다. 성능 평가를 통해 제안된 기법이 메시지 수를 감소시키며 신뢰성에 대한 정확도를 향상 시키는 것을 입증한다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1993년도 추계학술대회 논문집
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• pp.632-637
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• 1993

Rating systems of bevel gears(straight, spiral, and zerol bevel gears) which are commonly used as power transmission devices for non-parallel axes are developed on the personal computer, which analyze and/or evaluate the gear design and the service performance at the point of view of strength and durability. The typical considerations of the ratings are the bending strength the surface durability, and the scoring resistance. The ratings are carried out using the reliable standards of AGMA & Gleason Works. Therefore, the system is built so that the variables or factors considered differently in those standards and the strength, durability, and scoring partially in Gleason are appraised separatedly by each method, and a series of the estimation processes is integrated into the system so as to compare each result. The developed rating system can be used in the initial stage of gear design process, and also a better design can be performed by the evaluation of the initial design at the view point of gear strength and durability. Additionally, it is useful for the trouble-shooting of bevel gear systems and to the purpose of introducing the methods for maintaining design strength in service with appraising the gear strength after design or with appraising the influencing factors, as a whole. Therefore, this rating systems can help the aim of design automation of bevel gears.

• KIEAE Journal
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• 제13권1호
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• pp.57-63
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• 2013

Building Energy Efficiency Rating system was enforced in 2001 to enhance spreading high-energy performance and saving buildings. It was only for the new apartments, but expanded to new office buildings in 2010, and moreover, government offices require 1st grade of Building Energy Efficiency Rating system. Green Building Act, which is established to reduce the emissivity of carbon dioxide by reducing building energy consumption, will be enforced in 2013, and new apartments and office buildings will be subjected to it. Henceforward, it will extend to other types of buildings and will be phased in. In general, pumps and fans consume approximately half of the air-conditioning energy consumption, and about a quarter of the total building energy consumption when office buildings have total floor area of more than 10000 square meters. This study analyzed the energy demand when applying VAV(Variable Air Volume) and VWV(Variable Water Volume) System to reduce energy returns of the pumps and the fans by ECO2, which is a computer simulation program used for Building Energy Efficiency Rating system.

• Structural Monitoring and Maintenance
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• 제2권3호
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• pp.199-211
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• 2015

The safety and performance of bridges could be monitored and evaluated by Structural Health Monitoring (SHM) systems. These systems try to identify and locate the damages in a structure and estimate their severities. Current SHM systems are applied to a single bridge, and they have not been used to monitor the structural condition of a network of bridges. This paper propose a new method which will be used in Synthetic Rating Procedures (SRP) developed by the authors of this paper and utilizes SHM systems for monitoring and evaluating the condition of a network of bridges. Synthetic rating procedures are used to assess the condition of a network of bridges and identify their ratings. As an additional part of the SRP, the method proposed in this paper can continuously monitor the behaviour of a network of bridges and therefore it can assist to prevent the sudden collapses of bridges or the disruptions to their serviceability. The method could be an important part of a bridge management system (BMS) for managers and engineers who work on condition assessment of a network of bridges.

• 한국정보기술학회논문지
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• 제16권12호
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• pp.109-114
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• 2018

협업 필터링은 사회적 추천 방식으로서 뛰어난 성능을 제공하는 대표적인 추천 시스템 알고리즘으로 폭넓게 사용되어 오고 있다. 협업 필터링은 구조적으로 아이템 평가 데이터에 의존하고 있기 때문에 평가 행렬의 희박도는 추천 성능에 직접적으로 영향을 미친다. 평가 행렬의 희박성 문제 개선을 위해 협업 필터링과 내용 기반 방법을 결합하는 복합형 추천 방법에 대한 연구는 꾸준하게 이루어져 왔으며, 본 연구에서는 협업 필터링의 희소 평가 행렬(sparse rating matrix) 문제 개선 방안의 하나로 공통 평가 아이템이 누락되어 유사도 측정이 불가능한 상황에 대처하기 위한 방법을 제안한다. 이를 위하여 사용자간 이행적 관계 그래프에 기반하는 유사도 평가 모델을 설계하고 오픈 데이터셋인 Movielens에 적용하여 추천 정확도를 측정 비교하였다.

• 한국산업융합학회 논문집
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• 제27권4_2호
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• pp.897-908
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• 2024

Evaluating the adequacy of facility safety inspection and diagnosis services performed by private enterprises is a time-consuming and administratively complex process. This study aims to analyze the determinants that could influence the rating of these safety inspection and diagnosis services using data analytics approach. Through a comparative analysis of several machine learning algorithms suitable for multi-class classification, we selected the model with the best performance (Random Forest) and identified the main determinants using the permutation importance technique. Among the variables examined, "contract value," "days of service performed" and "adherence to fair market value" were found to be strongly correlated with the rating assessments. Furthermore, we discovered that the skills and expertise of service performing personnel significantly impacted the rating. The results of this study can contribute to the enhancement of the current post-evaluation administrative processes and offer valuable insights into rating assessments by incorporating previously unexplored variables pertaining to both service providers and the services itself.