• Title/Summary/Keyword: Index model

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Development of Alternative Evaluation Index Using Multicriteria Decision Making Techniques (다기준 의사결정기법을 이용한 대안평가지수 개발)

  • Chung, Eun-Sung;Lee, Kil-Seong;Park, Kyung-Shin
    • Journal of Korea Water Resources Association
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    • v.41 no.1
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    • pp.87-100
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    • 2008
  • The alternative evaluation index (AEI) is developed and applied to determine the priorities of some options for integrated watershed management. Based on the results of continuous simulation model, AEIs of some feasible alternatives are calculated using multicriteria decision making techniques and sustainability evaluation model, DPSIR (Drivers-Pressure-State-Impact-Response).

A Development of Environmental Capacity Estimation Model Using the National Environmental Assessment Indicators (국토환경성평가 지표를 이용한 환경용량 산정모델 개발)

  • Lee, Chong-Soo;Lee, Woo-Kyun;Jeon, Seong-Woo
    • Journal of Environmental Impact Assessment
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    • v.15 no.6
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    • pp.385-394
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    • 2006
  • Land resources should be managed not only for human utilizations but also for environmental preservation. Based on that, environmental capacity should be estimated in both environmental and developmental ways. This study was performed for developing an estimation model for relative environmental capacity, considering both Development Tolerance Index(DTI), which shows environmental and ecological conservation value and is based on national environmental assessment indicators of the Korea Ministry of Environment, and Development Attractiveness Index(DAI), which shows topographical characteristics and geographical accessibility. The relative environmental capacity in this study can be helpful to coping with the conflict in planning and managing the use of land resources. The relative environmental capacity in this study, however, did not include either environmental or ecological sensitivity of land resources. This limitation should be solved through further research.

A study on the enhancement of refractive index in Ti:LiTaO$_{3}$ optical waveguides by Zn-vapor diffusion (Zn-Vapor확산에 의한 Ti:LiTaO$_{3}$ 광도파로의 굴절률 증가에 관한 연구)

  • 정홍식;정영식
    • Electrical & Electronic Materials
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    • v.9 no.3
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    • pp.298-303
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    • 1996
  • A double diffusion technique is developed to enhance the effective mode index of optical waveguides in $LiTaO_3$. It consists of Zn diffusion from the vapor phase at relatively low temperatures (750->$800^{\circ}C$), into waveguides initially produced by Ti indiffusion at higher temperature (1150->$1200^{\circ}C$). Both X- and Z-cut substrates are investigated. A model that combines profiles of both diffusion is formulated to calculate the expected effective index values for planar waveguides. Good agreement is found between experimental results and model predictions which assume that the initial Ti profile is not affected by the lower temperature Zn diffusion. Effective index enhancements as high as 0.005 and 0.003 are obtained by this method for the fundamental extraordinary and ordinary modes, respectively.

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Dynamic Index for a Versatile and Diverse Pilot Production Fab

  • Wu, I-Hung;Lin, Tzu-Yu;Chang, Chung-Shu;Lin, Chien-Chih
    • 한국정보디스플레이학회:학술대회논문집
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    • 2005.07a
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    • pp.539-542
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    • 2005
  • We report how to establish the dynamic index for production control in a pilot fabrication over versatile and diverse production environments. We used dynamic index provided by a simulation model to monitor production performance. When production control is abnormal, the information system prompts administrators to classify these abnormal situations. In addition, the trend over the operation index is continuously reviewed in short-term and long-term. This simulation model is handy at setting goal for a versatile and diverse pilot production fab.

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Development of Kano model based logistics service quality classification and potential customer Satisfaction Improvement index (Kano모델 기반의 물류 서비스 품질속성 분류와 잠재적 고객요구 개선지수 개발)

  • Jo, Yu-Jin;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.19 no.4
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    • pp.221-230
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    • 2017
  • Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid methods for them are necessary more. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. To measure service quality accurately, this researcher collected and analyzed data by survey for customers who are customers of logistics services, grasped potential satisfaction standard(P) by 5 point Likert scale and one survey for accurate classification of quality attributes through weighted customer satisfaction coefficient changing quality attributes by developing the study on Kano model and Timko's customer satisfaction coefficient, and suggested Potential Customer Satisfaction Improvement index(PCSI) for examining the improvement of customer satisfaction so as to utilize them as an index of differentiated and concrete measurement of service quality.

Refractive Index and Excess Volume for Diisopropylamine + Isomeric Butanol Mixtures in terms of Nakata and Sakurai model

  • Kumari, Kavitha;Maken, Sanjeev
    • Korean Chemical Engineering Research
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    • v.59 no.4
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    • pp.644-651
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    • 2021
  • Alkyl amines are widely used in various industries. Nowadays these are also used in CO2 capture technology because amines react with CO2 and remove it from the flue gas. To make the amines more compatible towards this technology, physico chemical properties may be altered by mixing with other solvents. In the present report, we measured the refractive properties of pure diisopropylamine (DIPA) (1) + isomeric butanol (2) at 298.15 K to 308.15 K. The 𝚫n values were positive for DIPA + n-butanol or sec-butanol or isobutanol or tert-butanol mixtures. The measured data was correlated with Redlich-Kister equation. The excess molar volume data were predicted from refractive index data using Nakata and Sakurai model. The experimental data were also predicted by various correlations, and the prediction capability of these correlations was reported through standard deviation. Further, the deviation in refractive index (𝚫n) data was interpreted by the consideration of specific molecular interactions between DIPA and isomeric butanol.

Forecasting the Baltic Dry Index Using Bayesian Variable Selection (베이지안 변수선택 기법을 이용한 발틱건화물운임지수(BDI) 예측)

  • Xiang-Yu Han;Young Min Kim
    • Korea Trade Review
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    • v.47 no.5
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    • pp.21-37
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    • 2022
  • Baltic Dry Index (BDI) is difficult to forecast because of the high volatility and complexity. To improve the BDI forecasting ability, this study apply Bayesian variable selection method with a large number of predictors. Our estimation results based on the BDI and all predictors from January 2000 to September 2021 indicate that the out-of-sample prediction ability of the ADL model with the variable selection is superior to that of the AR model in terms of point and density forecasting. We also find that critical predictors for the BDI change over forecasts horizon. The lagged BDI are being selected as an key predictor at all forecasts horizon, but commodity price, the clarksea index, and interest rates have additional information to predict BDI at mid-term horizon. This implies that time variations of predictors should be considered to predict the BDI.

A Development of PM10 Forecasting System (미세먼지 예보시스템 개발)

  • Koo, Youn-Seo;Yun, Hui-Young;Kwon, Hee-Yong;Yu, Suk-Hyun
    • Journal of Korean Society for Atmospheric Environment
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    • v.26 no.6
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    • pp.666-682
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    • 2010
  • The forecasting system for Today's and Tomorrow's PM10 was developed based on the statistical model and the forecasting was performed at 9 AM to predict Today's 24 hour average PM10 concentration and at 5 PM to predict Tomorrow's 24 hour average PM10. The Today's forecasting model was operated based on measured air quality and meteorological data while Tomorrow's model was run by monitored data as well as the meteorological data calculated from the weather forecasting model such as MM5 (Mesoscale Meteorological Model version 5). The observed air quality data at ambient air quality monitoring stations as well as measured and forecasted meteorological data were reviewed to find the relationship with target PM10 concentrations by the regression analysis. The PM concentration, wind speed, precipitation rate, mixing height and dew-point deficit temperature were major variables to determine the level of PM10 and the wind direction at 500 hpa height was also a good indicator to identify the influence of long-range transport from other countries. The neural network, regression model, and decision tree method were used as the forecasting models to predict the class of a comprehensive air quality index and the final forecasting index was determined by the most frequent index among the three model's predicted indexes. The accuracy, false alarm rate, and probability of detection in Tomorrow's model were 72.4%, 0.0%, and 42.9% while those in Today's model were 80.8%, 12.5%, and 77.8%, respectively. The statistical model had the limitation to predict the rapid changing PM10 concentration by long-range transport from the outside of Korea and in this case the chemical transport model would be an alternative method.

A Measurement Way of Seaport Efficiency and Ranking Using Fuzzy DEA: Average Index Transformation Model Approach (퍼지DEA에 의한 항만의 효율성 및 순위 측정방법: 평균지수변환모형 접근)

  • Park, Ro-Kyung
    • Journal of Korea Port Economic Association
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    • v.26 no.2
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    • pp.82-98
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    • 2010
  • The purpose of this paper is to suggest the efficiency measurement way of Korean seaport by using Average Index Transformation model of fuzzy DEA(Data Envelopment Analysis). Two inputs[cargo handling capacity, and berthing capacity], and outputs[cargo handling amount, and the number of ship calls] are used in 1995 and 2004 for 26 Korean seaports. Empirical main results are as follows: First, Tongyung, Gohyun, Okpo, and Sogcho Ports are efficient, and Yeasu Port shows the high efficiency level over 95% under input oriented CCR model. Gohyun and Sogcho Ports showed the most efficient score under average index transformation model. Okpo and Yeasu Ports increased their efficiency scores as the lamda(λ) values are up. The empirical results of fuzzy DEA average index transformation model for Wando, Yeasu, and Seoguipo ports showed that if the lamda values are higher, the efficiency scores are also higher. The main policy implication based on the findings of this study is that the management manager of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the fuzzy DEA average index transformation model for deciding the size of inputs including the port investment amount and evaluating the port efficiency.

Conceptual eco-hydrological model reflecting the interaction of climate-soil-vegetation-groundwater table in humid regions (습윤 지역의 기후-토양-식생-지하수위 상호작용을 반영한 개념적인 생태 수문 모형)

  • Choi, Jeonghyeon;Kim, Sangdan
    • Journal of Korea Water Resources Association
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    • v.54 no.9
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    • pp.681-692
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    • 2021
  • Vegetation processes have a significant impact on rainfall runoff processes through evapotranspiration control, but are rarely considered in the conceptual lumped hydrological model. This study evaluated the model performance of the Hapcheon Dam watershed by integrating the ecological module expressing the leaf area index data sensed remotely from the satellite into the hydrological partition module. The proposed eco-hydrological model has three main features to better represent the eco-hydrological process in humid regions. 1) The growth rate of vegetation is constrained by water shortage stress in the watershed. 2) The maximum growth of vegetation is limited by the energy of the watershed climate. 3) The interaction of vegetation and aquifers is reflected. The proposed model simultaneously simulates hydrologic components and vegetation dynamics of watershed scale. The following findings were found from the validation results using the model parameters estimated by the SCEM algorithm. 1) Estimating the parameters of the eco-hydrological model using the leaf area index and streamflow data can predict the streamflow with similar accuracy and robustness to the hydrological model without the ecological module. 2) Using the remotely sensed leaf area index without filtering as input data is not helpful in estimating streamflow. 3) The integrated eco-hydrological model can provide an excellent estimate of the seasonal variability of the leaf area index.