• Title/Summary/Keyword: 중심지수

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A Study on the Development of the Flood Risk Index for Roads Considering Real-time Rainfall (실시간 강수량을 고려한 도로 침수위험지수 개발 방법에 대한 연구)

  • Kim, Eunmi;Hwang, Hyun Suk;Kim, Chang Soo
    • Journal of Korea Multimedia Society
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    • v.16 no.5
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    • pp.610-618
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    • 2013
  • The damaged district by flooding has been changed from mainly farmland to cities due to the weather phenomena which is different from the past. This has caused not only irreparable damage of people's lives and property but social infrastructures. There also exist serious damages such as isolation of drivers and traffic jam as the roads were flooded. In this study, we suggested a method to develop a flood risk index focused on not Si, Gun or Gu but roads. In addition, flood risk index in the roads just at the moment, when it rains quantitatively, will be provided by using real-time rainfall information provided by the Weather Center. Then it should be helpful to prevent people from being isolated by flooded roads in advance.

The Conversion of Chonsei into Monetary Costs and its Relationship with the Consumer Price Index (전세가격의 비용화와 소비자물가지수: 소비자물가지수 자가주거비 반영을 중심으로)

  • JIYOON OH
    • KDI Journal of Economic Policy
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    • v.45 no.4
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    • pp.57-77
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    • 2023
  • The Chonsei component holds the highest level of weight (5.4%) in the composition of the Korean consumer price index (CPI). The variations in Chonsei prices are directly reflected in the CPI as a representation of cost swings. The Chonsei refers to a deposit that accumulates the costs related to housing services and is mostly affected by variations in rental rates. Nevertheless, it is important to note that Chonsei prices are also susceptible to fluctuations in interest rates, regardless of the rent prices. Therefore, if Chonsei were directly and one-to-one indexed to the CPI, they could include changes other than residential service prices. After analyzing the time series data of the Chonsei index and rent index inside the CPI, it becomes apparent that the Chonsei index displays an average annual growth rate of 2.3%, whilst the rent index reveals a growth rate of 0.9%. The observed disparity in growth rates indicates a divergence in trends between the two indices. It is posited that the Chonsei index, when capitalized, has had a more rapid increase compared to the rental index, owing to the gradual drop in interest rates. To effectively reflect fluctuations in the housing service costs, proxies for the Chonsei index were utilized in the construction of a consumer price index. The findings of our study suggest that, overall, the newly developed CPI demonstrates a comparatively lower rate of inflation when compared to the official CPI. Furthermore, the inclusion of imputed rents for owner-occupied housing in CPI amplifies this effect.

The Characteristics of Comfortable Indoor-Temperature Distribution according to Summer Clo-Unit in South Korea (남한의 하계 인체보온치수에 따른 쾌적 실내온도 분포의 특성)

  • Kang, Chul-Sung
    • Journal of the Korean association of regional geographers
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    • v.11 no.5
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    • pp.383-390
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    • 2005
  • The purpose of this study is to show distribution pattern of comfortable Indoor-Temperature in South Korea based on 10-days normal data(June 3rd, July 2nd, August 1st). Comfortable Indoor-Temperature values and Heat flow equation values for the 68 stations are constructed to show how man tend to feel in various areas. In the early summer, comfortable Indoor-Temperature is very low in Taegwallong regions and the Southern interior regions due to the influence of the orographic effects or the altitude. In the hot summer, All regions except Taegwallong and Central interior regions have been the high value. These are largely derived from the low Clo-values due to the stable weather with the highest insolation, humidity and strong radiation heat by the North Pacific Anticyclone appears in Eastern Asia.

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A Study on Performance Evaluation of Infrastructure Safety and Maintenance (시설물 안전 및 유지관리 성과 평가에 관한 연구 - 시설물 안전등급 변화를 중심으로 -)

  • Kang, Sanghyeok;Choi, Seok In;Kim, Hwarang;Lee, Jeongseok
    • Korean Journal of Construction Engineering and Management
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    • v.17 no.2
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    • pp.80-89
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    • 2016
  • Recently, the paradigm shift of new construction into efficient operation and maintenance of infrastructure is seen. Also, concerns about infrastructure safety, especially the aged infrastructure, are on the increase. This study evaluates the current status of infrastructure safety and maintenance using data from 1994 to 2014 in Facility Management System operated by Korea Infrastructure Safety Corporation. Also, a quantitative analysis of safety performance of infrastructure is conducted to find out the enhancement of infrastructure safety in Korea. It was found that safety of facilities in Korea have been enhanced for the past decades. Improvement of safety performance of facilities is attributed to periodic safety inspection and repair and reinforcement. The result of the study can be used as a basic material for efficient and effective facility maintenance policies and strategies.

Network analysis and comparing citation index of statistics journals (국내 통계학 관련 학술지의 인용지수 비교 및 네트워크 분석)

  • Won, Dongkee;Choi, Kyoungho
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.2
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    • pp.317-325
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    • 2014
  • Evaluating contents and quality of the journal along with the research ability of researcher is becoming an important issue recently. This research compared level of impact of the journals related to statistics in nation, 'Journal of the Korean Data & Information Science Society'-centric, using various KCI citation index. Moreover, this research surveyed network between the journals in the aspect of social network analysis, using co-citation frequency. From that, the following conclusions were drawn. First, percentage of self-citation was relatively high. Second, even though Statistics journal had higher impact index than the mathematics, physics and chemistry, frequency of citing statistics journal in other journals was not that high. Third, 'Journal of the Korean Data & Information Science Society' serves central role in network analysis, however it seems that more efforts are required.

The Model Development of Satisfaction Measurement Index of Education Service and the Improvement Plan of IPA (교육서비스의 만족도지수 모형개발 및 IPA를 통한 개선방안)

  • Lee, Sang-Jun;Yoon, Kwan-Ho;Kim, Seong-Yoon
    • The Journal of the Korea Contents Association
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    • v.13 no.11
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    • pp.510-521
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    • 2013
  • The awareness of education service is undergoing a transition from demand side to supply side. This study 1) develops an evaluation model of education service composed of three core factors(curriculum content, professor activities, job search activity) and additional factors(public welfare, education environment, campus life), 2) verifies a model using the structural equation model, 3) calculates the satisfaction measurement index of education service, and 4) proposes the results of IPA for evaluating the satisfaction measurement of education service. The results show significant notions that core factors(curriculum content, professor activities, job search activities) and additional factors(public welfare, education environment, campus life) determine students satisfaction, and that student satisfaction effects the recommend purpose significantly. Especially, student satisfaction influenced curriculum content, job search activity, campus life, public welfare, professor activities, education environment in order. This study provides improved strategic implications based on the calculated results of component satisfaction measurement index, and the results of IPA.

Comovement of International Stock Market Price Index (주가동조현상에 관한 연구)

  • Khil, Jae-Uk
    • The Korean Journal of Financial Management
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    • v.20 no.2
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    • pp.181-200
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    • 2003
  • Comovement of international stock market prices has been lately a major controversy in the global stock market. This paper explores whether the common trend has really existed among the US, Japan and Korea's stock markets using the econometric techniques such as VAR, VECM as applied. Pair of indices from the exchange market and the over-the-counter market in each country has been tested, and the exchange market only has been turned out that the common trend existed. The dynamic analyses using the Granger causality test, impulse response function, and the forecast error decomposition have followed to show that the US stock market has played some important role in the Korea and Japan's market in the exchange as well as in the OTC market. The results of the paper imply that the more careful investigation with respect to the co-integration may be necessary in the global market integration studies.

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Rusty-Root Tolerance and Chemical Components in 4-year old Ginseng Superior Lines (4년생 인삼계통의 적변내성 및 화학성분 특성)

  • Lee Sung-Sik;Lee Myong-Gu;Choi Kwang-Tae
    • Journal of Ginseng Research
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    • v.23 no.2 s.54
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    • pp.61-66
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    • 1999
  • Experiments were carried out to examine the rusty tolerance in 61 inbred lines of ginseng cultivated in field, and chemical components were analyzed to clarify the difference between healthy and rusty ginseng roots. Among them, 10 lines showed rusty tolerance (RT) while 10 lines showed rusty sensitivity (RS). The content of phenolic compound in RT was lower than that in RS in cortex, epidermis and branch & fine roots, but it was not difference between RT and RS in stele. The contents of K, Ca, Na in RT were lower than RS in cortex, and the content of Mg, Fe, Na, Mn, AI, Si in RT were lower than RS in epidermis, and the content of Fe in RT were lower than RS in branch & fine roots, but mineral contents were not difference between RT and RS in stele. The content of phenolic compound in healthy cortex was lower than that in rusty cortex in same 6-year roots, but the mineral contents were not difference between healthy and rusty cortex in same 6-year roots. In root of seedlings, the contents of phenolic compound, K and Na in RT were lower than RS. It was suggested that the contents of phenolic compound, K and Na might be marker to select rusty tolerance ginseng lines.

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A Study on Price Discovery and Dynamic Interdependence of ETF Market Using Vector Error Correction Model - Focuse on KODEX leverage and inverse - (VECM을 이용한 상장지수펀드 시장의 가격발견과 동태적 상호의존성 - KODEX 레버리지와 인버스 중심으로 -)

  • Kim, Soo-Kyung;Kim, Woo-Hyun;Byun, Youngtae
    • Management & Information Systems Review
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    • v.38 no.1
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    • pp.141-153
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    • 2019
  • This study attempts to analyze the role of price discovery and the dynamic interdependence between KOSPI200 Index and KODEX Leverage(KODEX inverse), which are Korea's representative ETFs, using the vector error correction model. For the empirical analysis, one minute data of KODEX leverage, KODEX inverse and KOSPI200 index from April 10, 2018 to July 10, 2018 were used. The main results of the empirical analysis are as follows. First, between KODEX Leverage and KOSPI200 index, we found evidence that KODEX leverage plays a dominant role in price discovery. In addition, the KOSPI200 index is superior to price discovery between KODEX inverse and KOSPI200 index. Second, the KOSPI200 index has a relatively strong dependence on KODEX leverage, which is consistent with the KODEX leverage index playing a dominant role in price discovery compared to the KOSPI200 index. On the other hand, KOSPI200 index has a dependency on KODEX inverse index, but it is weaker than KODEX leverage index. These results are expected to be useful information for investors in capital markets.

Drought evaluation using unstructured data: a case study for Boryeong area (비정형 데이터를 활용한 가뭄평가 - 보령지역을 중심으로 -)

  • Jung, Jinhong;Park, Dong-Hyeok;Ahn, Jaehyun
    • Journal of Korea Water Resources Association
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    • v.53 no.12
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    • pp.1203-1210
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    • 2020
  • Drought is caused by a combination of various hydrological or meteorological factor, so it is difficult to accurately assess drought event, but various drought indices have been developed to interpret them quantitatively. However, the drought indexes currently being used are calculated from the lack of a single variable, which is a problem that does not accurately determine the drought event caused by complex causes. Shortage of a single variable may not be a drought, but it is judged to be a drought. On the other hand, research on developing indices using unstructured data, which is widely used in big data analysis, is being carried out in other fields and proven to be superior. Therefore, in this study, we intend to calculate the drought index by combining unstructured data (news data) with weather and hydrologic information (rainfall and dam inflow) that are being used for the existing drought index, and to evaluate the utilization of drought interpretation through verification of the calculated drought index. The Clayton Copula function was used to calculate the joint drought index, and the parameter estimation was used by the calibration method. The analysis showed that the drought index, which combines unstructured data, properly expresses the drought period compared to the existing drought index (SPI, SDI). In addition, ROC scores were calculated higher than existing drought indices, making them more useful in drought interpretation. The joint drought index calculated in this study is considered highly useful in that it complements the analytical limits of the existing single variable drought index and provides excellent utilization of the drought index using unstructured data.