• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.464-464
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• 2018

최근 풍수해 현황 분석(국민안전처, 2016)에서는 2003년 이후 태풍 루사와 매미와 같은 대형태풍이 최근에 발생하지 않아 대부분 하천급류로 인한 인명피해가 대부분이라고 언급하였다. 최근 풍수해로 인한 피해가 발생하지는 않았지만 호우/태풍이 발생할 경우 인명보호와 불편해소를 최우선에 두고 각종 정책들을 선제적으로 추진하고 있어 홍수범람발생 예상지역에 대한 인명피해 분석은 반드시 필요하다고 판단된다. 최근들어 인명피해를 평가하는 기술은 피해자료로부터 비교적 간단히 분석되는 경험적 방법에서 2차원 동적 수리모형과 연계, 그리고 정밀한 인구, 건물 등의 자료를 활용하여 대피율, 사전경보 등 인명피해에 영향을 미치는 다양한 요소를 복합적으로 고려하고 개념적이고 기계적 방법으로 발전하는 추세이다. 우리나라의 경우 인명피해 평가와 관련한 연구사례가 거의 전무한 상태이고, 치수경제성분석에서 제시하는 침수면적에 기반한 간략한 방법만이 실무에서 활용되고 있다. 최근 국외에서 제시한 접근방법은 본 연구에서의 개발하고자 하는 목적과 방향에 부합하지 않다고 판단되며, 국내 실정을 고려할 때 주요 영향인자를 추가하고, 특히 노출인구, 인명 인벤토리의 해상도를 높이는 데 주안점을 두고자 한다. 홍수로 인한 인명피해 발생확률은 사후분석의 일환으로 침수흔적도를 통해 총 2개의 침수구간을 설정한 후 Census data를 활용한 위험인구(Population at Risk, PAR)를 산정한후, NDMS 인명피해 자료를 활용하여 침수구간별 인명피해 발생확률을 제시하였다. 여기서 제시한 침수구간의 경우 데이터의 축적정도에 따라 구간을 세밀화 할 수 있는데, 본 연구에서는 총 2개구간(0-1m, 1m 이상)으로 계략화 하여 제시하였다. 본 연구에서는 4개의 지자체의 인명피해 자료를 통해 인명피해 발생확률을 산정하였으며, 해당내용을 시범유역의 빈도별 침수구역도에 적용하여 인명피해 발생을 분석하였다. 해당 연구결과의 경우 인명피해에 대한 명확한 결과를 유추하는데에는 한계가 있지만, 인명피해에 기반한 해당지역의 장래피해규모를 예측하는 데에는 기초가 될 수 있을 것으로 판단된다.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.23-30
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• 2021

An Automated Industry and Occupation Coding System assigns statistical classification code to the enormous amount of natural language data collected from people who write about their industry and occupation. Unlike previous studies that applied information retrieval, we propose a system that does not need an index database and gives proper code regardless of the level of classification. Also, we show our model, which utilized KoBERT that achieves high performance in natural language downstream tasks with deep learning, outperforms baseline. Our method achieves 95.65%, 91.51%, and 97.66% in Occupation/Industry Code Classification of Population and Housing Census, and Industry Code Classification of Census on Basic Characteristics of Establishments. Moreover, we also demonstrate future improvements through error analysis in the respect of data and modeling.

• Current Photovoltaic Research
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• v.9 no.2
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• pp.51-58
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• 2021

Solar water pumping system (SWPS) is reliable and beneficial for Indian farmers in irrigation and crop production without accessing utility. The capability of easy installation and deployment, makes it an attractive option in remote areas without grid access. The selection of portable solar based pumps is pertaining to its longer life and economic viability due to lower running cost. The work presented in this manuscript intends to demonstrate performance analysis of portable systems. Consequent investigation reveals PSWS as the emerging option for rural household and marginal farmers. This can be attributed to the fact that, a considerable portion (around 45.7%) of the country's land is farmland and irrigation options are yet to reach farmers who entirely rely on rain water at present for harvesting of the crops. According to census 2010-2011 tube wells are the main source for irrigation amongst all other sources followed by canals. Out of the total 64.57-million-hectare net irrigation area, 48.16% is accounted by small and marginal holdings, 43.77% by semi-medium and medium holdings, and 8.07% by large holdings. As per 2015-16 census data, nearly 100 million farming households would struggle to make ends meet. The work included in this manuscript, presents the performance of different commercial brands and different technologies of DC surface solar water micro pumping systems have been studied (specifically, the centrifugal and reciprocating type pumps have been considered for analysis). The performance of the pumping systems has been analyzed and data is evaluated in terms of quantity of water impelled for specific head. The reciprocating pump has been observed to deliver the best system efficiency.

• Journal of Environmental Science International
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• v.32 no.8
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• pp.533-542
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• 2023

Understanding the regional distribution of swans in the lower Nakdong River area is also important for the continuous habitat of swans according to changes in the surrounding environment of the area. This study was conducted to understand the regional distribution aspect of swans (Cygnus spp.) downstream of the Nakdong River, Republic of Korea, from October 2013 to September 2018. In the estuary, a small ship was used to move along a certain route and observe it with the naked eye or binoculars, and in the land area, Line transect census and Point census method were conducted in parallel. During this period, two species and 34,647 individuals of swans were observed, including 34,356 Whooper Swans (Cygnus cygnus) and 291 Tundra Swans (Cygnus columbianus). The average number of individuals observed in 15 different areas was 1172, 103, 214, 1825, 1850, 13, 318, 1, 0, 1, 11, 21, 5, 0, and 239 respectively. The total average of the number of individuals in these areas was 384.76. The numbers differed significantly among the survey areas (Kruskal-Wallis test, X2=4349.01, P < 0.001). Particularly, the numbers were larger in Eulsukdo, Lower Eulsukdo, and Daemadeung than in the other regions. In conclusion, as long-term survey data, it can be used as basic data to analyze the distribution of swans due to environmental changes caused by the development of the Nakdong River, predict changes in the habitat status of migratory birds, and prepare measures necessary for preservation.

• Communications for Statistical Applications and Methods
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• v.22 no.1
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• pp.11-14
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• 2015

The Great Famine may have had a continued impact on the population structure of North Korea even after the crisis subsided ten years ago. However, there is a significant gap between what has been said about the country and what data indicates. This gap seems inevitable mainly because reliable data are seriously lacking and access is restricted for most scholars outside the country. Yet, it is only reasonable to question why most studies have failed to explain the causality between the Great Famine and accumulated changes in the population of North Korea. In this regard, a recent study conducted by Korean demographers (Jeon et al., 2015) have several implications on the importance of accurate and reliable data when the study involves such rare and scarce information. This paper explores the changing trends of the population structure in North Korea providing a review of recent studies on demographic issues associated with North Korea and offers suggestions on understanding the post-famine effect on the overall changes in the population of North Korea.

• Spatial Information Research
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• v.23 no.5
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• pp.31-40
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• 2015

The purpose of this paper is to propose a data transformation method for visualizing the statistical information based on the grid system which has regular shape and size. Grid is better solution than administrator boundary or census block to check the distribution of the statistical information and be able to use as a spatial unit on the map flexibly. On the other hand, we need the additional process to convert the various statistical information to grid if we use the current method which is areal interpolation. Therefore, this paper proposes the 3 steps to convert the various statistical information to grid. 1)Geocoding the statistical information, 2)Converting the spatial information through the defining the spatial relationship, 3)Attribute transformation considering the data scale measurement. This method applies to the population density of Seoul to convert to the grid. Especially, spatial autocorrelation is performed to check the consistency of grid display if the reference data is different for same statistic information. As a result, both distribution of grid are similar to each other when the population density data which is represented by census block and building is converted to grid. Through the result of implementation, it is demonstrated to be able to perform the consistent data conversion based on the proposed method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.473-476
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• 2003

Nowaday, Internet is doing the role of a large distributed information service tenter and various information and database servers managing it are in distributed network environment. However, the we have several difficulties in deciding the server to disposal input data depending on data properties. In this paper, we designed server mining mechanism and Intellectual data mining system architecture for the best efficiently dealing with input data pattern by using neural network among the various data in distributed environment. As a result, the new input data pattern could be operated after deciding the destination server according to dynamic binding method implemented by neural network. This mechanism can be applied Datawarehous, telecommunication and load pattern analysis, population census analysis and medical data analysis.

• Korea journal of population studies
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• v.20 no.1
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• pp.5-25
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• 1997

The historical study reveals that our ancestors had maintained a system which could produce data on the number of population and households as well as on their characteristics. For example, such data on age structure of the population, number of births, number of deaths by age & sex, number of in & out migrants were found in an historical document for the year 755. The main purposes of maintaining the system at that time were taxation and conscription. As the system evolves, another function of identifying the legal status of people was also added. Looking into the figures for those days reveals that ommission rates of the number of population and households were high. Thus, in an effort to obtain a reliable data, the annual population survey system was introduced as of 1 September 1896. This date is now cerebrated as the Statistics Day. Since then, the survey system has been diversified. At the present time, there are three major data sources which produce the statistics on population and households: Civil Registration System (vital statistics), Resident Registratiton System (migration statistics) and Population Census. However, these three systems are found to have some problems to produce the accurate data. There are some inherent problems in the registration systems such as problems in its coverage, accuracies in contents and timeliness in reporting the vital events and publishing the results. The population census has also non-sampling errors such as errors in coverage, response and non-response. Apart from the above mentioned problems, there are also conflicting problems arised from having different three data source. We can find some overlapping problems in laws and difficulties in comparative studies between regions. In the future, these problems should be taken into consideration for the improvement of the quality of statistics on population and households.

• Korea journal of population studies
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• v.9 no.2
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• pp.93-105
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• 1986

The historical study reveals that our ancestors had maintained a system which could produce data on the number of population and households as well as on their characteristics. For example, such data on age structure of the population, number of births, number of deaths by age & sex, number of in & out migrants were found in an historical document for the year 755. The main purposes of maintaining the system at that time were taxation and conscription. As the system evolves, another function of identifying the legal status of people was also added. Looking into the figures for those days reveals that ommission rates of the number of population and households were high. Thus, in an effort to obtain a reliable data, the annual population survey system was introduced as of 1 September 1896. This date is now cerebrated as the Statistics Day. Since then, the survey system has been diversified. At the present time, there are three major data sources which produce the statistics on population and households: Civil Registration System (vital statistics), Resident Registratiton System (migration statistics) and Population Census. However, these three systems are found to have some problems to produce the accurate data. There are some inherent problems in the registration systems such as problems in its coverage, accuracies in contents and timeliness in reporting the vital events and publishing the results. The population census has also non-sampling errors such as errors in coverage, response and non-response. Apart from the above mentioned problems, there are also conflicting problems arised from having different three data source. We can find some overlapping problems in laws and difficulties in comparative studies between regions. In the future, these problems should be taken into consideration for the improvement of the quality of statistics on population and households.

• Journal of the Korean Regional Science Association
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• v.9 no.2
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• pp.27-40
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• 1993

Most studies on regional economic impact have utilized employment or employment income data. Recently, a few scholars have noticed the importance of nonemployment income sources in urban economies. Using decennial census data on Arizona towns from 1970 to 1990, this paper first examines the increasing importance of nonempolyment income sources in urban economies and the associations of nonemployment income sources with elderly population and metropolitan location. Then, this paper investigates the impact of nonemployment income on urban growth in the framework of economic base model. The regression results show that the impact of nonemployment income is significant in the increase of nonbasic income and becomes greater over time, and that the impact of transfer over time, and that the impact of transfer income on nonbasic income of transfer income on nonbasic income is stronger in smaller towns and the impact of investment income is stronger in larger towns.