• 제목/요약/키워드: Rating Methods

검색결과 2,081건 처리시간 0.029초

치매성 고령자를 위한 노인요양시설의 치료적 환경평가척도 개발에 관한 연구 - TESS-NH 환경평가척도 분석을 중심으로 (A Study on the development therapeutic environmental rating scales for the elderly people with dementia in nursing homes - Focused on the TESS-NH environmental rating scale Analysis)

  • 이영창
    • 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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    • 제20권3호
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    • pp.49-55
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    • 2014
  • Purpose: AIn recent years, the rapid progress of aging and the increase in the elderly people with dementia is becoming a big social issue. Therefore, this paper studies the development of therapeutic environmental rating scales for the elderly people with dementia in korean nursing homes. Methods: We identify the development process and structure of TESS-NH and understand the details of its nature and features. Then, based on the detailed items, we provide major scale factors which do influence on therapeutic environmental rating scales using PCA. Results: In the results, TESS, in the case of the initial stage of TESS-NH, has an advantage to evaluate on physical environments for a short period of time. TESS-2 + sets a large rage of activities of the elderly people with dementia, and tries to evaluate ongoing cares. TESS-NH has a complete set of well-thought-out assessment features for improving quality of care (Quality of Care) On the other hand, the main factors affecting the therapeutic environmental rating scales in nursing homes are "a consideration for facility management (Care for facilities' maintenance)", "a consideration for spatial cognition (Care for spatial cognition) ", and "a consideration for the safety (Care for safety)". Implications: In the future, to develop the therapeutic environmental rating scales on Korea's dementia nursing home, we should actively consider cares of spaces and facility utilization which the residents (the elderly people with dementia) are more secure and comfortable.

송전선로의 이용률 평가 및 합리적 운영에 관한 연구 (A Study on Utilization Ratio and Operation of Transmission Lines)

  • 김동민;배인수;조종만;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제55권10호
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    • pp.426-432
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    • 2006
  • This paper describes the concepts of Static Line Rating (SLR) and Dynamic Line Rating (DLR) and the computational methods to demonstrate them. Calculation of the line capacity needs the heat balance equation which is also used for computing the reduced tension in terms of line aging. SLR is calculated with the data from the worst condition of weather throughout the year. Even now, the utilization ratio is obtained from this SLR data in Korea. DLR is the improved method compared to SLR. A process for DLR reveals not only improved line ratings but also more accurate allowed line ratings based on line aging and real time conditions of weather. In order to reflect overhead transmission line aging in DLR, this paper proposes the method that considers the amount of decreased tension since the lines have been installed. Therefore, the continuous allowed temperature for remaining life time is newly acquired. In order to forecast DLR, this paper uses weather forecast models, and applies the concept of Thermal Overload Risk Probability (TORP). Then, the new concept of Dynamic Utilization Ratio (DUR) is defined, replacing Static Utilization Ratio (SUR). For the case study, the two main transmission lines which are responsible for the north bound power flow in the Seoul metropolitan area are chosen for computing line rating and utilization ratio. And then line rating and utilization ratio are analyzed for each transmission line, so that comparison of the present and estimated utilization ratios becomes available. Finally, this paper proves the validity of predictive DUR as the objective index, with simulations of emergency state caused by system outages, overload and so on.

공동주택 중량바닥충격음 현장측정을 통한 차단성능 평가방법의 비교검토 연구 (A Study of Rating Method Comparison for Heavy-weight Floor Impact Sound based on the Field Test Data in Apartment Houses)

  • 신훈;백건종;국찬;송민정;김선우
    • KIEAE Journal
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    • 제10권5호
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    • pp.187-194
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    • 2010
  • Heavy-weight floor impact sound insulation performance criteria have been effective in Korea since the regulation which enforces the standard thickness of slabs in domestic apartment houses should be constructed by 180mm or 210mm was adopted. But every slab does not satisfy this criteria. So, review on existing floor impact sound insulation performance is needed to propose some basic materials for the revision of rating method. To achieve this goal, 63 field test data were checked and analyzed. The results of this study are as follows ; 1) The 210mm thickness slab has the characteristics of deeper level decrease above 120Hz frequency band than that of 180mm thickness slab's. 2) 27.5% of 180mm thickness slabs were satisfied the floor impact sound insulation performance criteria, whereas 65% of 210mm slabs do. 3) Among the main contribution frequency bands for the determination of single rating index, 63Hz was shown as the most contributive band in 210mm slabs. 4) In comparison of single rating index between bang machine test and ball test. there is a big difference between the two and this phenomenon is frequent in 210mm slab results. 5) Rating Methods for the analysis of cross-correlation between the amount of rating, the usefulness of the arithmetic mean could be secured.

Auxiliary Stacked Denoising Autoencoder based Collaborative Filtering Recommendation

  • Mu, Ruihui;Zeng, Xiaoqin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권6호
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    • pp.2310-2332
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    • 2020
  • In recent years, deep learning techniques have achieved tremendous successes in natural language processing, speech recognition and image processing. Collaborative filtering(CF) recommendation is one of widely used methods and has significant effects in implementing the new recommendation function, but it also has limitations in dealing with the problem of poor scalability, cold start and data sparsity, etc. Combining the traditional recommendation algorithm with the deep learning model has brought great opportunity for the construction of a new recommender system. In this paper, we propose a novel collaborative recommendation model based on auxiliary stacked denoising autoencoder(ASDAE), the model learns effective the preferences of users from auxiliary information. Firstly, we integrate auxiliary information with rating information. Then, we design a stacked denoising autoencoder based collaborative recommendation model to learn the preferences of users from auxiliary information and rating information. Finally, we conduct comprehensive experiments on three real datasets to compare our proposed model with state-of-the-art methods. Experimental results demonstrate that our proposed model is superior to other recommendation methods.

수위-유량곡선을 위한 비매개 변수적 Kernel 회귀모형 (Nonparametic Kernel Regression model for Rating curve)

  • 문영일;조성진;전시영
    • 한국수자원학회논문집
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    • 제36권6호
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    • pp.1025-1033
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    • 2003
  • 수공구조물의 설계를 비롯하여, 수자원 분야의 기술적 설계의 기초는 수문자료의 처리와 분석에 중심을 두고 있다고 할 수 있다. 수문 자료의 분석방법 중 가장 보편적이면서도 중요한 방법은 자료들의 관계를 도식적으로 규명하는 회귀분석이다. 수위-유량 관계곡선과 같은 수문 자료에 대한 기존의 매개변수적 회귀모형이 갖는 단점은 자료의 특성에 따라, 복수의 회귀식이 산정되거나 동일자료에 대해서도 서로 다른 회귀식이 산정됨으로써 신뢰할 수 있는 회귀곡선을 만들기가 어렵다는 것이다. 이에 비해 주어진 자료에 의해 도출되는 kernel 회귀모형은 자료의 특성과 경향성을 적절히 표현해 줄 수 있는 방법이다. 본 논문에서는 비매개변수적 방법인 kernel 회귀모형을 분석하고, kernel 회귀모형의 중요 인자인 bandwidth의 선택 방법에 따른 kernel 회귀모형의 특성에 대해 비교 분석하였다.

논문형 고사 평가에서 평가치 조정과 평가원의 신뢰도 향상에 유효한 CDM 모형의 응용 (Application of the Categorical Data Model for Enhanching the Reliability of the Raters' Ratings and Score Adjustment of the Essay Type Test)

  • 홍석강
    • 한국수학교육학회지시리즈A:수학교육
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    • 제38권2호
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    • pp.165-172
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    • 1999
  • $\sub$e/$\^$2/, that were results from those three sources of such imperfection. Especially to eliminate the differences in severity among many raters the randomization procedure of raters sample was very effective in enhancing the reliability of ratings with comparatively small groups of examinees and raters. And we also introduced the new rating methods, i.e. the 2-step diagnostic procedures to check the sizes of the reliability stability of raters and the sore adjustment method to enumerate the optimal mean values in rating the examinees.

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단양 석회석 광산터널의 암반 평가 및 안정성 연구 (Study on the stability of tunnel and rock mass classification in Danyang limestone quarry)

  • 신희순
    • 터널과지하공간
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    • 제6권2호
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    • pp.131-143
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    • 1996
  • In-situ survey and laboratory rock test were carried out for rating rock mass around the tunnel that some failures had been occurred in Danyang limestone quarry. For rating rock mass, several methods such as RMR, Q-system, rock strength etc. were applied. The stability analysis on tunnel was evaluated by numerical method FLAC. And The block theory using streographic projection was also applied for stability analysis. The 3-4 major discontinuity sets are distributed in rock mass around tunnel.

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통증평가도구에 관한 고찰 (An Overview of Pain Measurements)

  • 심성윤;박히준;이준무;이향숙
    • Korean Journal of Acupuncture
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    • 제24권2호
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    • pp.77-97
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    • 2007
  • Objectives : The aim of this study is to introduce pain measurement tools that are considered suitable for clinical practice and research for Korean Medicine Doctors. Methods : We analysed some widely used and also useful pain measurement tools in terms of their methods and dimensions. Results : Diagrams, scales and questions are usually used to measure pain intensity, temporal pattern, treatment including exacerbating and/or relieving factors, pain location, pain interference, pain quality, pain affect, pain duration, pain beliefs and pain history. Specific pain measurements are also available for specific conditions such as Western Ontario and McMaster Universities Osteoarthritis Index, Oswestry Disability Index and Neck Disability Index. Conclusions : Faces Pain Rating Scale, numeric rating scale, visual analogue scale, McGill Pain Questionnaire and Brief Pain Inventory and commonly used pain measurements. Specific measurements should be considered depending on research topics.

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유전 알고리듬 기반 집단분류기법의 개발과 성과평가 : 채권등급 평가를 중심으로 (Design and Performance Measurement of a Genetic Algorithm-based Group Classification Method : The Case of Bond Rating)

  • 민재형;정철우
    • 한국경영과학회지
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    • 제32권1호
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    • pp.61-75
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    • 2007
  • The purpose of this paper is to develop a new group classification method based on genetic algorithm and to com-pare its prediction performance with those of existing methods in the area of bond rating. To serve this purpose, we conduct various experiments with pilot and general models. Specifically, we first conduct experiments employing two pilot models : the one searching for the cluster center of each group and the other one searching for both the cluster center and the attribute weights in order to maximize classification accuracy. The results from the pilot experiments show that the performance of the latter in terms of classification accuracy ratio is higher than that of the former which provides the rationale of searching for both the cluster center of each group and the attribute weights to improve classification accuracy. With this lesson in mind, we design two generalized models employing genetic algorithm : the one is to maximize the classification accuracy and the other one is to minimize the total misclassification cost. We compare the performance of these two models with those of existing statistical and artificial intelligent models such as MDA, ANN, and Decision Tree, and conclude that the genetic algorithm-based group classification method that we propose in this paper significantly outperforms the other methods in respect of classification accuracy ratio as well as misclassification cost.