• Title/Summary/Keyword: 집계자료

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Study on Development of River Synthesis Management Index (유역종합관리지표 선정 및 타당성 검증)

  • Baeck, Seung-Hyub;Choi, Si-Jung;Lee, Dong-Ryul;Hong, Seung-Jin;Seo, Jae-Seung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.735-735
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    • 2012
  • 국내 및 세계적으로 중앙정부 관점에서 수자원관련 현황을 평가하거나 취약성을 파악하는 등 관련 적응 정책 수립, 부문별 정책 수립의 우선순위 결정과 평가를 위하여 지수(Index)와 지표(Indicator)를 개발하고 사용하고 있다. 수자원관련 지수의 개발은 이수, 치수 및 하천환경 분야의 지수가 개발되어 사용되고 있으며 그 중 치수관련 지수는 국내 외에서 많은 연구 결과가 보고되고 있다. 이러한 지표 및 지수의 구성체계는 크게 두 가지로 분류가 되며 하나는 인과관계 접근방식으로 측정하고자 하는 현상, 결과를 나타나게 하는 요인, 이러한 현상을 완화 또는 강화하기 위한 노력 간의 상관성을 파악하여 지표를 도출하고, 다른 하나는 주제 접근방식으로 파악하고자 하는 현상을 크게 분야별로 구분한 후 분야별 정책목표에 따라 하위 분야로 세분화하고 이에 따른 관련지표를 선정한다. 최근에는 주제 접근방식의 지표가 많이 사용되고 있다. 본 연구에서는 수자원통합관리를 위하여 행정구역 및 유역의 다양한 대리변수를 조사, 분석하여 1990년부터 2007년까지의 시군구 및 국가표준지도인 수자원단위지도의 812개의 표준유역별 DB를 구축하였고, 물이용취약성지수 홍수취약성지수 하천환경취약성지수 및 유역종합관리지수를 개발하여 평가하는 유역종합관리지표를 개발하였다. 각 분야별 취약성 지수는 다양한 대리변수들을 통계분석을 통하여 잠재지표를 선정하였으며, 잠재지표들 간의 상관관계를 이용하여 서로 유사한 변수들끼리 묶어주는 요인분석을 실시하여 주제별 세부지표를 선정하였다. 지표 산정에 있어 표준화방법은 가장 많이 사용되고 있는 Z-score 방법을 사용하였고 가중치부여 방법은 동일가중치를 이용하였으며 최종적인 집계과정은 누적합산방법으로 지수를 산정하였다. 본 연구에서 개발된 유역종합관리지표의 타당성조사를 위하여 2008년 강원도 지역의 이수 및 치수관련 자료를 구축하여 피해이력을 제외한 유역종합관리지수를 산정하여 제한급수 및 홍수 피해이력이 발생한 유역과 비교 분석하여 검증을 실시하였다. 본 연구에서 개발된 지표는 유역관련 현황 파악 및 취약성 분석을 통하여 향후 분야별 관련 정책 및 대책 수립에서 보다 효과적인 의사결정을 지원할 수 있을 것으로 사료된다.

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A Study on Improvement of the Calculation Methodology of Employee Invention Compensation (직무발명 보상액 산정 방법론의 개선 방안 연구)

  • Cho, Myunggeun;Lee, Hwansoo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.12
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    • pp.101-110
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    • 2017
  • According to the Statistics Korea in 2016, 56.9% of companies do not fairly pay compensation for employee invention, despite the increasing proportion of the inventions in corporations. One reason is that the objective calculation method for employee and patent's contribution and the clear standard of fair compensation have not been established. Therefore, this study proposes a new calculation method using DCF (Discounted cash flow) and AHP (Analytical hiearchy process) methodology to calculate the fair amount of employee invention compensation, and verified it through real case examples. As a result, 2.3 times higher amount of compensation was calculated than the previous approach. This study is meaningful that it provided objective compensation criteria that could more protect the inventor in the situation which the clear criteria for the calculation of fair compensation are not established. This methodology is expected to be applicable for SMEs as employee invention compensation.

A Study on the Visiting Areas Classification of Cargo Vehicles Using Dynamic Clustering Method (화물차량의 방문시설 공간설정 방법론 연구)

  • Bum Chul Cho;Eun A Cho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.141-156
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    • 2023
  • This study aims to improve understanding of freight movement, crucial for logistics facility investment and policy making. It addresses the limitations of traditional freight truck traffic data, aggregated only at city and county levels, by developing a new methodology. This method uses trip chain data for more detailed, facility-level analysis of freight truck movements. It employs DTG (Digital Tachograph) data to identify individual truck visit locations and creates H3 system-based polygons to represent these visits spatially. The study also involves an algorithm to dynamically determine the optimal spatial resolution of these polygons. Tested nationally, the approach resulted in polygons with 81.26% spatial fit and 14.8% error rate, offering insights into freight characteristics and enabling clustering based on traffic chain characteristics of freight trucks and visited facility types.

The Population Growth of Local Cities and the Stage Migration: A case study of Jeollabuk-do (비수도권 중소도시의 인구성장과 단계적 이동: 전라북도를 사례로)

  • Lee, Chungsup
    • Journal of the Korean Geographical Society
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    • v.49 no.4
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    • pp.525-545
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    • 2014
  • This study seeks to clarify the influence of the stage migration which has proceeded through generations, on the population growth of local cities in the case of Jeollabuk-do. For this, setting to baby boomer as parents generation and echo boomer as their children, this study traces each generation's birth, distribution and the process of selective migration using aggregate level data. And the stage migration is analyzed by O-D, divided into three regions in each; Jeollabuk-do rural areas, Jeollabuk-do cities and other provinces. The major findings of this study are as follows. First, it was estimated that the number of the baby boomer births in Jeollabuk-do rural areas was seven times more numerous than in cities. Second, both rural and urban born baby boomers overwhelmingly moved into other provinces, especially Seoul metropolitan area and metropolis in their selective migration processes. However, there was also migration stream from rural areas to cities in Jeollabuk-do and the amount of this stream was approximately equal to the amount of outflux from cities in Jeollabuk-do to other provinces. Third, due to baby boomers' stage migration, from rural to urban, echo boomers were born in cities more than in rural areas. Fourth, urban born echo boomers still have moved into other provinces just like their parents generation in selective migration process. But comparing with baby boomer, the number of echo boomers influx from rural areas to cities has decreased. Consequentially the population of echo boomer in Jeollabuk-do cities also has decreased. Finally, the stage migration has been a basic cause of the social growth of urban population, and also influenced on the natural growth, closely connected with migrants' life course, such as marriage, childbirth and rearing. Therefore, this study concludes that the stage migration through generations is one of the crucial factor to understand the population growth in local cities.

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The societal cost of rotavirus infection in South Korea (한국에서 로타바이러스 급성 위장관염의 질병 부담)

  • Yang, Bong Min;Jo, Dae Sun;Kim, Youn Hee;Hong, Ji Min;Kim, Jung Soo
    • Clinical and Experimental Pediatrics
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    • v.51 no.9
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    • pp.977-986
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    • 2008
  • Purpose : This study aims to estimate the financial cost of rotavirus infection in Korea in the year of 2005. Methods : The incidence rates used were from the epidemiological profile at Jeoungeub District (5.8 cases/1,000 children <5 years old for inpatients, and 22.65 cases/1,000 children <5 years old for outpatients, per year). The health care cost per capita of rotavirus infection (ICD code: A08.0) was extracted from the Health Insurance Review and Assessment Service database in Korea. The patient survey was conducted to capture information about non-medical costs and associated productivity loss incurred by adult caregivers. Results : The number of annual national cases among children <5 years old with rotavirus infection was estimated to be 69,122 (i.e., 55,030 outpatients and 14,092 inpatients). The total cost of rotavirus infection was estimated at 13.3 billion Korean won, comprising 11 billion Korean won (82.7%) of direct medical costs, 1.6 billion Korean won (12.0%) of direct non-medical costs (e.g., transportation and supplies), and 0.68 billion Korean won (5.1%) of productivity lost by adult caregivers. Conclusion : Rotavirus infection carries not only medical costs but also non-medical and indirect costs; together, these costs incur a significant burden on South Korean society. The impact of rotavirus on quality of life and health among patient caregivers was not considered in this study, but it does merit further research.

Development of an OLAP Database System for Calculating National Information Security Index Numbers (국가 정보보호 지수 산출을 위한 OLAP 데이터베이스 시스템의 구축)

  • Choi, Jung-Woo;Choi, In-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.12
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    • pp.285-296
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    • 2011
  • UN, OECD, ITU and other international organizations regularly announce ISI (Information Society Index) to utilize in establishing and evaluating information policies. ISI is utilized as important data for countries to evaluate their information policy performance and select future projects. As the advancement of information systems, the importance of information security has been emerged. Accordingly, NISI (National Information Security Index) has been required. NISI number is the most clearly figure to express the characteristics of a particular group's information security. It can be utilized in determining information security policies. Currently, questionnaire method has been used to calculate NISI number. But there is an absolute lack of statistical data, and the reliability of surveyed statistical data is problematic. The objective of this paper is to show how to collect precise micro data of each company's information security index numbers, and to develop an OLAP database system which calculating NISI numbers by using those micro data. In this process of the survey, we presented the technique to collect the data more systematically, and to analyze the data without using questionnaire method. OLAP architecture performs only well on the facts that are summarizable along each dimension, where all hierarchy schemas are distributive. Therefore we transformed the non-distributive hierarchy schema into the distributive hierarchy schema to implement OLAP database system. It is thought that this approach will be useful one from an implementation and schema design point of view.

A Study on the Mutual Influence of Indicators of the Real Estate Auction Market (부동산 경매시장 지표간의 상호 영향에 관한 연구)

  • Jeong, Dae-Seok
    • The Journal of the Korea Contents Association
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    • v.19 no.12
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    • pp.535-545
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    • 2019
  • If the real estate auction market indicators are relevant and meaningful, they can be meaningful information to the real estate market in connection with general real estate. The purpose of this study is to examine whether time-supply logic is applied in auction market by identifying time series correlations for the number of auctions, the auction rate, and the auction price rate, which are major indicators of real estate auction market. The real estate types were classified into three categories: residential real estate, land, and commercial real estate. The monthly time series of auctions in the metropolitan real estate were compiled for 96 months. Based on this data, the auction market model for each type was established and the mutual influences between the indicators were analyzed. As a result, the supply and demand indicators, the number of auctions and the auction rate, showed the nature of supply and demand according to the supply and demand logic of the market. However, the correlation was high for residential real estate and relatively low for commercial real estate. the auction rate has a long-term impact on price indicators, especially residential real estate, which is quantitatively explanatory and significant. The three auction-related indicators differ in degree, but there is a correlation, especially for residential real estate, which can be useful information for policy making.

The Economic Impact of the May 18 Democratic Uprising on the Regional Economy: A Synthetic Control Method (SCM) approach (5·18민주화운동이 지역경제에 미친 경제적 영향 분석: 통제집단합성법(SCM)을 이용한 접근)

  • Ryu, Deockhyun;Seo, Dongkyu
    • Analyses & Alternatives
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    • v.6 no.2
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    • pp.155-183
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    • 2022
  • The purpose of this study is to econometrically analyze the negative impact of the May 18 Democratic Uprising on the Gwangju/Jeonnam regionional economy using the Synthetic Control Method (SCM). The SCM SCM is a methodology similar to the difference-in-difference(DID) method of microeconometrics. It is applied to macroeconomic variables such as country, region, etc. to estimate the causal relationship between specific events and the dependent variable. In this study, as of 1980, local tax revenue data of metropolitan local governments were used as a proxy variable for the economy of the region, and the impact of the May 18 Democratic Uprising on the economy of Gwangju/Jeonnam region was analyzed through various socio-economic indicators. In this study, data were used to analyze from 1971 to 2000, and as a result of empirical analysis, local tax revenues in Gwangju/Jeonnam area were less collected than normal routes up to 17%. In addition, the significance of this analysis was confirmed through in-time placebo effect analysis and in-space placebo effect analysis, which are methods of analyzing the robustness of the control group synthesis method.

Analysis and Prediction Methods of Marine Accident Patterns related to Vessel Traffic using Long Short-Term Memory Networks (장단기 기억 신경망을 활용한 선박교통 해양사고 패턴 분석 및 예측)

  • Jang, Da-Un;Kim, Joo-Sung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.5
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    • pp.780-790
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    • 2022
  • Quantitative risk levels must be presented by analyzing the causes and consequences of accidents and predicting the occurrence patterns of the accidents. For the analysis of marine accidents related to vessel traffic, research on the traffic such as collision risk analysis and navigational path finding has been mainly conducted. The analysis of the occurrence pattern of marine accidents has been presented according to the traditional statistical analysis. This study intends to present a marine accident prediction model using the statistics on marine accidents related to vessel traffic. Statistical data from 1998 to 2021, which can be accumulated by month and hourly data among the Korean domestic marine accidents, were converted into structured time series data. The predictive model was built using a long short-term memory network, which is a representative artificial intelligence model. As a result of verifying the performance of the proposed model through the validation data, the RMSEs were noted to be 52.5471 and 126.5893 in the initial neural network model, and as a result of the updated model with observed datasets, the RMSEs were improved to 31.3680 and 36.3967, respectively. Based on the proposed model, the occurrence pattern of marine accidents could be predicted by learning the features of various marine accidents. In further research, a quantitative presentation of the risk of marine accidents and the development of region-based hazard maps are required.

A Study on the Method of Creating a Safety Vulnerable Class Distribution Diagram for Non-Structural Countermeasures in the Comprehensive Natural Disaster Reduction Plan (자연재해저감종합계획 비구조적 대책의 안전취약계층도 작성방안에 관한 연구)

  • Doo Hee Kim;In Jae Song;Byung-Sik Kim
    • Journal of Korean Society of Disaster and Security
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    • v.16 no.1
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    • pp.1-11
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    • 2023
  • The comprehensive natural disaster reduction plan, the highest plan in the disaster prevention field, was implemented by local governments. second plan is currently being formulated. In order to minimize human and property damage, structural and non-structural measures for each of the nine disaster types are established and implemented for 10 years. Structural measures are based on engineering and quantitative analysis, and the criteria for setting reduction measures are clear. Non-structural measures, however, currently lack the set criteria. the basic disaster and safety management law included the safety vulnerable class in 2018. Currently, the safety vulnerable class of the detailed establishment criteria of the comprehensive natural disaster reduction plan is being established, including children, the elderly, and the disabled. However, due to the lack of data securing and database construction by local governments, it is difficult to prepare a location map for establishing reduction measures for the safety vulnerable. Therefore, in this study, OPEN API data of the safety vulnerable class were collected and statistical information and GIS of SGIS information services were used. The distribution diagram of the safety vulnerable class in Samcheok, Gangwon-do, which is a sample area, and the distribution diagram of the safety vulnerable class in units of the output area (OA) in Geundeok-myeon were prepared.