• Title/Summary/Keyword: Composite Indicators

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Importance Analysis for Improving the Quality of External Space in Urban Development Projects - Focusing on the Characteristics of Each Job Category - (도시개발사업 시 외부공간의 질적향상을 위한 중요도 분석 - 직군별 특성을 중심으로 -)

  • Lee, Lim-Jung;Kang, min-Sung;Lee, dong-gun
    • Journal of the Korean Institute of Rural Architecture
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    • v.26 no.1
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    • pp.1-9
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    • 2024
  • This study was motivated by the need to identify the characteristics of professionals involved in planning exterior spaces in urban development projects and to provide guidelines for maintaining the identity of urban images. Urban development's impact on external spaces can alter the image of the urban structure, especially due to the many boundaries between urban and rural areas. Therefore, there is a need for public standards for external spaces in such projects. This study collects and analyzes experts' opinions to understand the characteristics of each professional, selects the relative importance of each, and uses this as a guideline for step-by-step deliberation in planning external spaces. The research scope includes analyzing each expert's characteristics based on the external space evaluation items from Lee Limjeong's 2023 study, which builds upon existing research, and presenting the importance and priority of each expert. As a methodology, a questionnaire was conducted for each expert group using the indicators established in Lee Lim Jung's 2023 study for external spaces in urban development projects. An in-depth analysis was performed using the Analytic Hierarchy Process (AHP) for each expert. Using AHP analysis, the composite weight for each of the 17 detailed items was first adjusted by the number of item weights to account for the classification level of the large and detailed items. Then, the composite importance was calculated by multiplying the importance of the large, medium, and detailed classifications. The calculated composite importance was finally adjusted by applying the number of item weights again, ensuring the sum of the 17 importance values equals 1. The final importance calculated through this process was then presented by occupation.

A newly-designed method to measure liner polymerization shrinkage

  • Ikejima, Iwao;Matsuzawa, Norihiko;Momol, Yasko;Kohno, Atsushi
    • Proceedings of the KACD Conference
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    • 2003.11a
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    • pp.604-604
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    • 2003
  • I. Objectives Newly-designed method was evaluated to measure the linear polymerization shrinkage of light-cured resin composites. II. Materials and Methods A resin composite(Clearfil AP-X, Kuraray, Japan) was filled into a vinyl-polysiloxan mold(1 to 8mm-depth, and 7mm-diameter). As indicators, 4 beads(Retention Beads 2 SS, GC, Japan;particle size $200{\;}\mu\textrm{m}$) were placed diagonally on the resin surface of a mold. The coordinates (x, y, z, pasition) of each indicator were measrued by a measuring-microscope after which the resin surface was irradiated by a curing-light source(Optilux 500, Demetron/Kerr, USA) for 40 sec. After 20 sec the coordinates were again measured.(omitted)

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An Energy Technology R&D Investment Analysis of OECD Countries and Korea (한국과 OECD 국가의 에너지기술 R&D 투자규모 비교)

  • Min, Yun-Ji
    • International Commerce and Information Review
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    • v.16 no.4
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    • pp.363-384
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    • 2014
  • The adequate measurement of government expenditure efficiency for Energy Technology Development is a difficult empirical issue and the literature on it, particularly when it comes to aggregate and international data. Contribution in this study is threefold: first this study analyze the adequate measurement of government expenditure efficiency on Energy Technology sector of 24 OECD countries and korea. Second this study reconstruct efficiency composite indicators, named "Energy Technology Development Interest level indicator". Third this study assesses the efficiency of government expenditure for Energy Technology Development. The results can be summarized as follow: Korea's government expenditure efficiency for Energy Technology Development is highly ranked among 25 OECD countries based on Energy Technology Development R&D Budgets and Energy Technology Development R&D Budgets per thousand units of GDP indicators. However, Korea's ranking has fallen to 20th. The assessment suggests that government will be have to provide more government expenditure to enhance the efficiency on Energy.

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Establishing Evaluation Indicator for Agricultural Utilization of Idle Farmlands and Field Application (유휴농지 농업적 활용 평가지표 설정 및 현장적용)

  • Kim, Kyoung-Chan;Park, Chang-Won;Cho, Seok-Ho;Choi, Jin-Gyu;Yoon, Seong-Soo;Son, Yong-Hoon
    • Journal of Korean Society of Rural Planning
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    • v.20 no.2
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    • pp.127-137
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    • 2014
  • Self-sufficiency rate of food in South Korea is almost at the lowest level among OECD countries, and the decrease tend of farmland is expected to be continued. In this situation, the government has been revised the target self-sufficiency rate of food, and carried forward various policies in order to achieve it. One of those policies is the restoration business of idle farmland which is planned to carry forward after 2015. This study set up indicators evaluating effective use of idle farmland, and tried to apply in the field before carrying forward restoration business. The result of this study may be summarized as follows. First of all, it reset an evaluation indicator that was based on the evaluation indicator developed in order to set application directions of idle farmland. Next, it selected 30 idle farmlands with reset evaluation indicator among 11,635 which were inspected nationwide in 2012. Before applying indicator, it measured the condition of recycling such as accessibility of farmland, condition of irrigation and drainage system, land state, and surroundings by field investigation. Then, it calculated composite score in each target area through applying indicators, and verified the indicator by comparing calculated result with the one which was decided from field investigation. Finally, it carried out field investigation, correct and upgrade some problems of the standard of score calculation that was found during applying previously set evaluation indicator to target area, and established the final standard of calculation for evaluation indicator.

Development of Cloud and Shadow Detection Algorithm for Periodic Composite of Sentinel-2A/B Satellite Images (Sentinel-2A/B 위성영상의 주기합성을 위한 구름 및 구름 그림자 탐지 기법 개발)

  • Kim, Sun-Hwa;Eun, Jeong
    • Korean Journal of Remote Sensing
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    • v.37 no.5_1
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    • pp.989-998
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    • 2021
  • In the utilization of optical satellite imagery, which is greatly affected by clouds, periodic composite technique is a useful method to minimize the influence of clouds. Recently, a technique for selecting the optimal pixel that is least affected by the cloud and shadow during a certain period by directly inputting cloud and cloud shadow information during period compositing has been proposed. Accurate extraction of clouds and cloud shadowsis essential in order to derive optimal composite results. Also, in the case of an surface targets where spectral information is important, such as crops, the loss of spectral information should be minimized during cloud-free compositing. In thisstudy, clouds using two spectral indicators (Haze Optimized Tranformation and MeanVis) were used to derive a detection technique with low loss ofspectral information while maintaining high detection accuracy of clouds and cloud shadowsfor cabbage fieldsin the highlands of Gangwon-do. These detection results were compared and analyzed with cloud and cloud shadow information provided by Sentinel-2A/B. As a result of analyzing data from 2019 to 2021, cloud information from Sentinel-2A/B satellites showed detection accuracy with an F1 value of 0.91, but bright artifacts were falsely detected as clouds. On the other hand, the cloud detection result obtained by applying the threshold (=0.05) to the HOT showed relatively low detection accuracy (F1=0.72), but the loss ofspectral information was minimized due to the small number of false positives. In the case of cloud shadows, only minimal shadows were detected in the Sentinel-2A/B additional layer, but when a threshold (= 0.015) was applied to MeanVis, cloud shadowsthat could be distinguished from the topographically generated shadows could be detected. By inputting spectral indicators-based cloud and shadow information,stable monthly cloud-free composited vegetation index results were obtained, and in the future, high-accuracy cloud information of Sentinel-2A/B will be input to periodic cloud-free composite for comparison.

Development of a Food Freshness Indicator for Monitoring Spoilage of Chicken Breast Using a Porous Substrate (다공성 기재를 이용한 닭가슴살 신선도 인디케이터 제조 및 특성)

  • Lee, Kaeun;Baek, Seunghye;Kim, Dowan;Seo, Jongchul
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.23 no.1
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    • pp.37-45
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    • 2017
  • To visually identify the spoilage of chicken breasts, a three layered freshness indicator consisting of PET/bromocresol green (BCG)-ethylene vinyl acetate (EVA)-acetic acid (AA) composite layer/porous substrates was successfully prepared and their performance were simulated at 20% of $CO_2$ and 4 different trimethylamine (TMA) concentrations to evaluate color change at minimal spoilage level. The visibility and range of color changes of the as-prepared indicators responding to TMA concentration as a simulant were strongly dependent on the concentrations of BCG and AA. As the BCG content increased, the visibility of color change in the freshness indicators was apparently improved and the range of color change could be controlled by contents of AA. Among the as-prepared freshness indicators, 'G0.12_A0.5' which consisting 0.12g of BCG and 0.5g of AA was selected as an optimum composition due to the highest visibility at TMA 20 mg% corresponding to the minimal spoilage level. The color of the indicator changed from yellow to green for spoilage indication of chicken breast, which could be easily seen with the naked eyes and well consistent with the simulation results. It is expected that our developed freshness indicator can be useful in monitoring various food freshness and quality.

Impact of Macroeconomic Factors on Terminal Operators' Profit: Focusing on Global Terminal Operators (거시경제지표가 터미널운영사 재무성과에 미치는 영향 분석: 글로벌터미널운영사 중심으로)

  • Lee, Joo-Ho;Yun, Won Young;Park, Ju Dong
    • Journal of Korea Port Economic Association
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    • v.36 no.1
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    • pp.129-140
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    • 2020
  • In the future, the global container handling market will be reorganized into larger ships and shipping alliances, and the bargaining power of shipping companies will be further strengthened. Therefore, the global terminal operator (GTO), which has a global network, vast experience, and operational know-how, is expected to strengthen its competitiveness. In Korea, the central government promoted the development of GTOs in the mid-2000s, but it failed, mainly due to disagreements between port stakeholders. In this study, the macroeconomic indicators that have the same effect in all regions were used to analyze GTO management performance. In the short term, it could be used to establish the business strategy of domestic terminal operators based on changes in macroeconomic indicators. In the long term, it would be used to establish a promotion strategy for GTOs in Korea. The results of analyzing the impact of macroeconomic indicators on the GTO's profit show that the GTO's profit is significantly affected by cargo handling capacity, the consumer price index of the United States, the Shanghai Composite Index, the Crude Oil Price, and the London Inter-bank Offered Rate (LIBOR). However, the scale of impact was not significantly different between public and private GTOs.

Electricity Consumption as an Indicator of Real Economic Status (전력소비를 이용한 실물경기지수 개발에 관한 연구)

  • Oh, Seung-Hwan;Kim, Tea-Joong;Kwak, Dong-Chul
    • Journal of Distribution Science
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    • v.14 no.3
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    • pp.63-71
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    • 2016
  • Purpose - A variety of indicators are used for the diagnosis of economic situation. However, most indicators explain the past economic situation because of the time difference between the measurement and announcement. This study aims to argue for the resurrection of an idea: electricity demand can be used as an indicator of economic activity. In addition, this study made an endeavor to develop a new Real Business Index(RBI) which could quickly represent the real economic condition based on the sales statistics of industrial and public electricity. Research design, data, and methodology - In this study monthly sales of industrial and public electricity from 2000 to 2015 was investigated to analyze the relationship between the economic condition and the amount of electricity consumption and to develop a new Real Business Index. To formulate the Index, this study followed next three steps. First, we decided the explanatory variables, period, and collected data. Second, after calculating the monthly changes for each variable, standardization and estimating the weighted value were conducted. Third, the computation of RBI finalized the development of empirical model. The principal component analysis was used to evaluate the weighted contribution ratio among 3 sectors and 17 data. Hodrick-Prescott filter analysis was used to verify the robustness of out model. Results - The empirical results are as follows. First, compatibility of the predictability between the new RBI and the existing monthly cycle of coincident composite index was extremely high. Second, two indexes had a high correlation of 0.7156. In addition, Hodrick-Prescott filter analysis demonstrated that two indexed also had accompany relationship. Third, when the changes of two indexes were compared, they were found that the times when the highest and the lowest point happened were similar, which suggested that it is possible to use the new RBI index as a complementing indicator in a sense that the RBI can explain the economic condition almost in real time. Conclusion - A new economic index which can explain the economic condition needs to be developed well and rapidly in a sense that it is useful to determine accurately the current economic condition to establish economic policy and corporate strategy. The salse of electricity has a close relationship with economic conditions because electricity is utilized as a main resource of industrial production. Furthermore, the result of the sales of electricity can be gathered almost in real time. This study applied the econometrics model to the statistics of the sales of industrial and public electricity. In conclusion, the new RBI index was highly related with the existing monthly economic indexes. In addition, the comparison between the RBI index and other indexes demonstrated that the direction of the economic change and the times when the highest and lowest points had happened were almost the same. Therefore, this RBI index can become the supplementary indicator of the official indicators published by Korean Bank or the statistics Korea.

Daily Stock Price Prediction Using Fuzzy Model (퍼지 모델을 이용한 일별 주가 예측)

  • Hwang, Hee-Soo
    • The KIPS Transactions:PartB
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    • v.15B no.6
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    • pp.603-608
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    • 2008
  • In this paper an approach to building fuzzy model to predict daily open, close, high, and low stock prices is presented. One of prior problems in building a stock prediction model is to select most effective indicators for the stock prediction. The problem is overcome by the selection of information used in the analysis of stick-chart as the input variables of our fuzzy model. The fuzzy rules have the premise and the consequent, in which they are composed of trapezoidal membership functions, and nonlinear equations, respectively. DE(Differential Evolution) searches optimal fuzzy rules through an evolutionary process. To evaluate the effectiveness of the proposed approach numerical example is considered. The fuzzy models to predict open, high, low, and close prices of KOSPI(KOrea composite Stock Price Index) on a daily basis are built, and their performances are demonstrated and compared with those of neural network.

Analysis of Channel Habitat Characteristics for Soundness of Fish Community at Wonju-stream (원주천의 어류군집 건전화를 위한 하도의 서식구조 특성분석)

  • Choi, Heung Sik;Choi, Jun Kil
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.3B
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    • pp.311-317
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    • 2009
  • Similarity indices between sampling sites are calculated and cluster analysis of fish community is carried out by UPGMA based on investigating fish fauna and water environment. The restoration indicators as target species of Wonju stream are selected Cottus poecilopus, Zacco temmincki, and Zacco platypus along upper, middle, and lower streams, respectively. For better habitat suitability, low flow increasing and induced water quality improving must be secured by sewer system rearrangement and watershed management. Composite habitat suitability of Zacco temmincki as target species at middle stream of Wonju stream improve significantly by low flow increasing, which is very important factor to improve habitat suitability. The changes of hydraulics of depth and velocity govern the habitat suitability in general, but the effects are not significant. Low flow increasing with the change of 10% reducing of lower channel improves the composite habitat suitability of 0.37~0.78 to their origin of 0.1~0.25, which represent the channel restoration scheme of Wonju stream for enhancing the habitat suitability of fish community.