• Title/Summary/Keyword: evaluate index

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Development & Evaluation of Real-time Ensemble Drought Prediction System (실시간 앙상블 가뭄전망정보 생산 체계 구축 및 평가)

  • Bae, Deg-Hyo;Ahn, Joong-Bae;Kim, Hyun-Kyung;Kim, Heon-Ae;Son, Kyung-Hwan;Cho, Se-Ra;Jung, Ui-Seok
    • Atmosphere
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    • v.23 no.1
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    • pp.113-121
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    • 2013
  • The objective of this study is to develop and evaluate the system to produce the real-time ensemble drought prediction data. Ensemble drought prediction consists of 3 processes (meteorological outlook using the multi-initial conditions, hydrological analysis and drought index calculation) therefore, more processing time and data is required than that of single member. For ensemble drought prediction, data process time is optimized and hardware of existing system is upgraded. Ensemble drought data is estimated for year 2012 and to evaluate the accuracy of drought prediction data by using ROC (Relative Operating Characteristics) analysis. We obtained 5 ensembles as optimal number and predicted drought condition for every tenth day i.e. 5th, 15th and 25th of each month. The drought indices used are SPI (Standard Precipitation Index), SRI (Standard Runoff Index), SSI (Standard Soil moisture Index). Drought conditions were determined based on results obtained for each ensemble member. Overall the results showed higher accuracy using ensemble members as compared to single. The ROC score of SRI and SSI showed significant improvement in drought period however SPI was higher in the demise period. The proposed ensemble drought prediction system can be contributed to drought forecasting techniques in Korea.

Study on Application of the Preserving Valuation Index for Environmental Management of a Stack Room (서고환경관리를 위한 보존성 평가지수 활용에 관한 연구)

  • Yoon, Dai-Hyun;Shin, Hyun-Chang
    • The Korean Journal of Archival Studies
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    • no.31
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    • pp.139-161
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    • 2012
  • Donald K. Sebera model can quantitatively compare the preserving environment by calculating the preserving valuation index with changing only the temperature and humidity. In this study, Donald K. Sebera model was used in order to compare and evaluate the preserving valuation index on the best condition and the worst condition in the temperature and humidity range of public records management act. As the results, the preserving valuation index in the best conditions was larger 2.47 times than the worst conditions within the preserving environment permitted in public records management act. Also, the influence of the humidity on the preserving valuation index of a paper archives as decreasing the activation energy for the hydrolysis reaction was larger rather than temperature. Thus the preserving valuation index can easily evaluate the suitability of the temperature and humidity conditions for preserving a archives. Therefore it can be used as useful tool for preservation of archives on change of the temperature and humidity.

A Study on AI-based Composite Supplementary Index for Complementing the Composite Index of Business Indicators (경기종합지수 보완을 위한 AI기반의 합성보조지수 연구)

  • JUNG, NAK HYUN;Taeyeon Oh;Kim, Kang Hee
    • Journal of Korean Society for Quality Management
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    • v.51 no.3
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    • pp.363-379
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    • 2023
  • Purpose: The main objective of this research is to construct an AI-based Composite Supplementary Index (ACSI) model to achieve accurate predictions of the Composite Index of Business Indicators. By incorporating various economic indicators as independent variables, the ACSI model enables the prediction and analysis of both the leading index (CLI) and coincident index (CCI). Methods: This study proposes an AI-based Composite Supplementary Index (ACSI) model that leverages diverse economic indicators as independent variables to forecast leading and coincident economic indicators. To evaluate the model's performance, advanced machine learning techniques including MLP, RNN, LSTM, and GRU were employed. Furthermore, the study explores the potential of employing deep learning models to train the weights associated with the independent variables that constitute the composite supplementary index. Results: The experimental results demonstrate the superior accuracy of the proposed composite supple- mentary index model in predicting leading and coincident economic indicators. Consequently, this model proves to be highly effective in forecasting economic cycles. Conclusion: In conclusion, the developed AI-based Composite Supplementary Index (ACSI) model successfully predicts the Composite Index of Business Indicators. Apart from its utility in management, economics, and investment domains, this model serves as a valuable indicator supporting policy-making and decision-making processes related to the economy.

Compressibility behaviour of peat reinforced with precast stabilized peat columns and FEM analysis

  • Kalantari, Behzad;Rezazade, Reza K.
    • Geomechanics and Engineering
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    • v.9 no.4
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    • pp.415-426
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    • 2015
  • Researches have been done to discover ways to strengthen peat soil deposits. In this model study, fibrous peat that is the most compressible types of peat has been reinforced with precast peat columns stabilized with ordinary Portland cement and polypropylene fibres. Rowe cell consolidation tests as well as plate load tests (PLTs) were conducted on various types of test samples to evaluate the strength and deformation of untreated peat and peat reinforced by various types of columns. PLTs were conducted in a specially designed and fabricated circular steel test tank. The compression index ($C_c$) and recompression index ($C_r$) of fibrous peat samples reduced considerably upon use of precast columns. Also, PLT results confirmed the results obtained from Rowe cell tests. Use of polypropylene fibres added to cement further decreased ($C_c$) and ($C_r$) and increased load bearing capacity of untreated peat. Finite element method (FEM) using Plaxis 3D was carried out to evaluate the stress distributions along various types of tested samples and also, to compare the deformations obtained from FEM analysis with the actual maximum deformations found from PLTs. FEM results indicate that most of the induced stresses are taken on the upper portion of tested samples and reach their maximum values below the loading plate. Also, a close agreement was found between actual deformation values obtained from PLTs and values resulted from FEM analysis for various types of tested samples.

Effect of Bee Venom Acupuncture Therapy on Patients with Cervical Spondylosis (변형성(變形性) 척추증(脊椎症)의 봉약침(蜂藥) 치료(治療) 효과(效果))

  • Ahn, Byeong-Joon;Song, Ho-Sueb
    • Journal of Acupuncture Research
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    • v.24 no.3
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    • pp.111-117
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    • 2007
  • Objectives : This study was to evaluate the effectiveness of Bee Venom acupuncture therapy on patients with cervical spondylosis. Methods: We investigated 29 cases of patients with cervical spondylosis. We divided patients into two groups: Bee venom Acupuncture was performed at one group, and the other group we did acupuncture therapy. To evaluate the effectiveness of treatment applied for two groups, we used visual analog scale(VAS) and neck disability index(NDI). We compared the VAS and NDI score of two groups statistically. Results : As a result of evaluation by using visual analog scale(VAS) and neck disability index(NDI), treatment score at final was significantly different from that at the baseline in each groups. Treatment at final, Bee venom acupuncture therapy group showed significant difference on visual analog scale(VAS) and neck disability index(NDI) compared with acupuncture therapy group. Conclusions : Bee Venom acupuncture therapy can be used with acupuncture therapy for highly effective in the patient with cervical spondylosis.

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A Study on the Development of Sustainable Environmental Evaluation Index (지속가능 환경평가지표의 개발에 관한 연구)

  • Lim, Mann-Taek;Kwon, Chang-Yong
    • Journal of the Korean housing association
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    • v.21 no.6
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    • pp.99-108
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    • 2010
  • This study investigated the environmental indices in environmental administration, and to presents how to develop a sustainable environmental evaluation index. The index should be used to evaluate composite plans in the environmental aspects as well as means for setting goals of basic plans for the environment and its management. Specifically, the goals of composite plans are to check environments and land use frame, and evaluate individual measures (public projects). Environment policies are required to be 'a policy creating a clean environment' from 'a policy of environment regulation'. For the organization of a basic framework of environment policies, five topics are needed to be considered, such as the clarification of the idea of environment, establishment of environment regulations, environment management plan, plan to support civilian's action, and local government's efforts for the global matters of environment. For the amenity environments, people should expand their environmental behavior based on their voluntary intentions in transformation of personal life styles, projects with less load on the environment, development of environmentally-friendly projects with consideration for their impact on the earth. This study suggests that they should put more efforts into the development and implementation of useful environmental indices which effectively analyse the regional character to protect the natural ecology and create an sustainable environment with wide coverage.

Development of Methodology of New Effective Installed Reserve Rate considering Renewable Energy Generators (신재생에너지전원을 고려한 새로운 유효설비예비율 평가방법의 개발)

  • Park, Jeong-Je;Choi, Jae-Seok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.1
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    • pp.26-32
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    • 2010
  • This paper proposes a new effective installed reserve rate in order to evaluate reliability of power system considering renewable generators, which include uncertainty of resource supply. It is called EIRR(effective installed reserve rate) in this paper. It is developed with considering capacity credit based on ELCC by using LOLE reliability criterion. While the conventional installed reserve rate index yields over-evaluation reliability of renewable generators, the proposed EIRR describes actual effective installed reserve rate. However, it is not the probabilistic reliability index as like as LOLE or EENS but another deterministic effective reliability index. The proposed EIRR is able to evaluate the realistic contribution to the reliability level for power system considering wind turbine generators and solar cell generators with high uncertainty in resource supply. The case study in model system as like as Jeju power system size presents a possibility that the proposed EIRR can be used practically as a new deterministic reliability index for generation expansion planning or operational planning in future.

Development of Seat Belt Pulling Noise Index and Evaluation System Research (시트 벨트 인출 소음 평가 기술 및 인덱스 개발 연구)

  • Cho, Hye-Young;Lee, Sang-Kwon;Kang, Hee-Su;Son, Joo-Hwan
    • Transactions of the Korean Society of Automotive Engineers
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    • v.23 no.2
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    • pp.185-190
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    • 2015
  • The purpose of this study is developing the quantify the seat belt pulling Noise index and evaluation method. This paper presents the objective method to evaluate the emotional feeling about the pulling Noise of the seat belt. The physical quantification is required to objectively evaluate the emotional feeling of the pulling Noise. This is called the "Noise metric." The Noise metric is should correlated to the subjective rating of the pulling Noise. The pulling Noise index is developed throughout the linear regression of the Noise metric and the subjective rating. The developed index is used for the objective evaluation of the emotional feeling about the pulling Noise of a seat belt throughout the modification of seat belt components.

A Study on the Evaluation of Functional Aspect Value of Individual Biotope -Focused on the Habitat Function of Biotope-

  • Kim, Han Soo
    • Korean Journal of Environment and Ecology
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    • v.29 no.2
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    • pp.263-278
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    • 2015
  • This study is intended to evaluate the value of functional aspect from the viewpoint of habitat. The indicators that are used in biotope evaluations are various, but most of them use the criteria to evaluate the naturality. This evaluation method cannot appropriately reflect the functional characteristics coming from relation to the surrounding biotope. In this study, the connectivity, cohesion and diversity between individual biotope are quantitatively measured by a landscape index. It is hard to draw the functional value of individual biotopes because the landscape index related to connectivity, cohesion and diversity comes from a landscape having a number of biotopes. The concept of contribution was used to overcome this limitation. The concept of contribution is to quantify how much each individual biotope contributes to the connectivity, cohesion, and diversity in a certain range of landscape by deriving the amount of change in the landscape index according to the presence or absence of each individual biotope. In order to understand the characteristics of evaluation results in functional aspect, this research has done a comparative analysis of the previous research findings in the same target area. According to the result of the research, individual biotopes such as artificial forests, fragmented natural forests, and small planting sites were highly rated.

Multivariate Analysis of Variance for Fuzzy Data

  • Kang, Man-Ki;Han, Sung-Il
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.1
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    • pp.97-100
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    • 2004
  • We propose some properties of fuzzy multivariate analysis of variance by fuzzy vector operation with agreement index. We deals fuzzy null hypotheses and fuzzy alternative hypothesis and define the agreement index for the grades of the judgements that the hypothesis is rejection or acceptance. Finally, we provide an example to evaluate the judgements.