• Korean Journal of Remote Sensing
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• v.33 no.5_2
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• pp.721-732
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• 2017

With the increasing socio-economic importance of rice as a global staple food, several models have been developed for rice yield estimation by combining remote sensing data with carbon cycle modelling. In this study, we aimed to estimate rice yield in Korea using such an integrative model using satellite remote sensing data in combination with a biophysical crop growth model. Specifically, daily meteorological inputs derived from MODIS (Moderate Resolution imaging Spectroradiometer) and radar satellite products were used to run a light use efficiency based crop growth model, which is based on the MODIS gross primary production (GPP) algorithm. The modelled biomass was converted to rice yield using a harvest index model. We estimated rice yield from 2003 to 2014 at the county level and evaluated the modelled yield using the official rice yield and rice straw biomass statistics of Statistics Korea (KOSTAT). The estimated rice biomass, yield, and harvest index and their spatial distributions were investigated. Annual mean rice yield at the national level showed a good agreement with the yield statistics with the yield statistics, a mean error (ME) of +0.56% and a mean absolute error (MAE) of 5.73%. The estimated county level yield resulted in small ME (+0.10~+2.00%) and MAE (2.10~11.62%),respectively. Compared to the county-level yield statistics, the rice yield was over estimated in the counties in Gangwon province and under estimated in the urban and coastal counties in the south of Chungcheong province. Compared to the rice straw statistics, the estimated rice biomass showed similar error patterns with the yield estimates. The subpixel heterogeneity of the 1 km MODIS FPAR(Fraction of absorbed Photosynthetically Active Radiation) may have attributed to these errors. In addition, the growth and harvest index models can be further developed to take account of annually varying growth conditions and growth timings.

• KDI Journal of Economic Policy
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• v.32 no.2
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• pp.93-143
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• 2010

This paper estimates the impact of Japan's economic sanction on DPRK trade in the 2000s. It conceptualizes the effects of sanction on DPRK trade, econometrically tests whether such effects exist in case of Japan's sanction using currently available DPRK trade statistics, and measures the size of the effects by correcting and reconfiguring the deficiencies of the currently available DPRK trade statistics. The main findings of the paper are as follows. First, Japan's sanction can have two different effects on DPRK trade: 'Sanction Country Effect' and "Third Country Effect.' The former means that the sanction diminishes DPRK trade with Japan while the latter refers to the effects on DPRK trade with other countries as well. The third country effect can arise not simply because the DPRK changes its trade routes to circumvent the sanction, but because the sanction forces the DPRK to readjust its major trade items and patterns. Second, currently no official DPRK trade statistics are available. Thus, the so-called mirror data referring to DPRK trading partners' statistics should be employed for the analysis of the sanction effects. However, all currently available mirror data suffer from three fundamental problems: 1) they may omit the real trade partners of the DPRK; 2) they may confuse ROK trade with DPRK trade; 3) they cannot distinguish non-commercial trade from commercial trade, whereas only the latter concerns Japan's sanction. Considering those problems, we have to adopt the following method in order to reach a reasonable conclusion about the sanction effect. That is, we should repeat the same analysis using all different mirror data currently available, which include KOTRA, IMF and UN Commodity Trade Statistics, and then discuss only the common results from them. Third, currently available mirror data make the following points. 1) DPRK trade is well explained by the gravity model. 2) Japan's sanction has not only the sanction country effect but also the third country effect on DPRK trade. 3) The third country effect occurs differently on DPRK export and import. In case of export, the mirror statistics reveal positive (+) third country effects on all of the major trade partners of the DPRK, including South Korea, China and Thailand. However, on DPRK import, such third country effects are not statistically significant even for South Korea and China. 4) This suggests that Japan's sanction has greater effects on DPRK import rather than its export. Fourth, as far as DPRK export is concerned, it is possible to resolve the abovementioned fundamental problems of mirror data and thus reconstruct more accurate statistics on DPRK trade. Those reconstructed statistics lead us to following conclusions. 1) Japan's economic sanction diminished DPRK's export to Japan from 2004 to 2006 by 103 million dollars on annual average (Sanction Country Effect). It comprises around 60 percent of DPRK's export to Japan in 2003. 2) However, for the same period, the DPRK diverted its exports to other countries to cope up with Japan's sanction, and as a result its export to other countries increased by 85 million dollars on annual average (Third Country Effect). 3) This means that more than 80 per cent of the sanction country effect was made up for by the third country effect. And the actual size of impact that Japan's sanction made on DPRK export in total was merely 30 million dollars on annual average. 4) The third country effect occurred mostly in inter-Korean trade. In fact, Japan's sanction increased DPRK export to the ROK by 72 million dollars on annual average. In contrast, there was no statistically significant increase in DPRK export to China caused by Japan's sanction. 5) It means that the DPRK confronted Japan's sanction and mitigated its impact primarily by using inter-Korean trade and thus the ROK. Fifth, two things should be noted concerning the fourth results above. 1) The results capture the third country effect caused only by trade transfer. Facing Japan's sanction, the DPRK could transfer its existing trade with Japan to other countries. Also it could change its main export items and increase the export of those new items to other countries as mentioned in the first result. However, the fourth results above reflect only the former, not the latter. 2) Although Japan's sanction did not make a huge impact on DPRK export, it might not be necessarily true for DPRK import. Indeed the currently available mirror statistics suggest that Japan's sanction has greater effects on DPRK import. Hence it would not be wise to argue that Japan's sanction did not have much impact on DPRK trade in general, simply using the fourth result above.

• Korean Security Journal
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• no.40
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• pp.57-86
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• 2014

As the revision of Building Code including applying crime prevention design to buildings passed recently and target hardening ought to be evidence-based, we studied the Modus Operandi (MO) and intrusion tools of domestic burglary to earn basic data for improvement of crime prevention hardware in the future. To be specific, we reviewed related academic literature and police official statistics of domestic burglary critically and interviewed detectives in charge of burglary to specify and categorize MO and tools. We can derive some implications from research findings, including improvement of the statistical system for the MO of burglary, active sharing of the MO of burglary among the criminal justice agencies and related industries and experts. Also, crime prevention advice and education for the local residents focused on MO of burglary can be recommended. Based on this research, to enhance the level of community safety significantly, performance tests of crime prevention hardware such as security doors and windows etc. and the study on related certification system should be vitalized.

• Journal of Environmental Health Sciences
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• v.46 no.3
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• pp.353-358
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• 2020

Objectives: An outbreak of pathogenic Escherichia coli food poisoning in Korea was first reported in 1998. They have continued to occure since then. This study was performed to describe the long-term trend in pathogenic E. coli food poisoning occurrences in Korea and examine the relation with climate factors. Methods: Official Korean statistics on food poisoning outbreaks and meteorological data for the period 2002-2017 were used. Pearson's correlation analysis was employed to establish the relationship between outbreaks of pathogenic E. coli food poisoning and meteorological factors. The influence of meteorological factors upon the outbreaks was analyzed by regression analysis. Results: During the study period, pathogenic E. coli food poisoning ranked second for the number of outbreaks (excluding unknowns) and first for the number of cases. Average temperature, the highest and lowest temperatures, precipitation, number of days with rainfall, and humidity all had a significant correlation with monthly number of outbreaks of pathogenic E. coli food poisoning (p<0.001). It was found that the lowest and highest temperatures and precipitation had a significant influence on the monthly number of outbreaks of food poisoning (p<0.001). These variables together explained 42.1% of the total variance, with the lowest temperature having the greatest explanatory power. Conclusion: These results show that food poisoning incidences may have been influenced by climate change, especially warming. The results also suggest that pathogenic E. coli infections are now an important public health issue in Korea since it is one of the countries where climate change is occurring rapidly.

• Journal of Preventive Medicine and Public Health
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• v.11 no.1
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• pp.41-48
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• 1978

To examine the result of the government Medical Aid Program which began in January, 1977 as a part of social security policy implementation, all the medical records of the clients and official statistics in the year were analysed. The specific objectives this study pursues include the magnitudes and patterns of morbidity and utilization, and the characteristics of clients. One Korean rural area, Koje county was selected as the study area and subsequently all the clinics and hospitals assigned to work out the Aid Program are the subjects for the survey. A brief summary of the sutdy results as follows: a. The clients of Koje county are 6.4% of the total population in the area, more than the average percentage of the clients in Korea. It reflects on low level of economic status of the residents of the area. b. The population structure of the clients indicates that the large proportions of young and old age group are overwhelming, while the middle age group share very small portions. c. The utilization rates for primary care are 2.0 persons, 11.6 visits and 22.6 treatment days per 100 persons per months. Annual hospitalization is rated as 13.7 cases and 164 days per 1,000 persons, The utilization rates are slightly lower than those expected rates during planning period but eventually become higher than those of general population in rural Korea. d. The factors which influence the utilization rates are identified with client group (low income vs indigent), age and sex. e. The utilization pattern for primary care demonstrates seasonal variation similar to the pattern of general rural population in the low income group, but none in the indigent group. f. The most common diseases revealed at the primary care clinics are the acute respiratory infection (26.9%), acute gastritis (10.8%), skin and subcutaneous infection (6.8%). The cases of acute conditions are outnumbered than the cases of chronic condition. 8. The clinics, hospitals and other related health institutions are well cooperated in dealing health care services in their own capacities. Considering the above results Medical Aid Program generated satisfactory results at least in the utilization aspect.

• Journal of Nutrition and Health
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• v.35 no.7
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• pp.800-817
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• 2002

It is not stipulated concretely in the Food Sanitation Act what the standardized school food service dieticians indices and the dietician's duties and task elements should be. Therefore, this study was required. The specific purposes of this study were : a) to define the school food service dietician's duties and task elements, b) to estimate the performance frequency and work hours of the dietician's duties and task elements c) to investigate the job specification of the dietician over school food services, d) to develop the standardized indices of the dietician needed in school food service operation. For this study, school food service dietician's work functions were defined in 10 duties and 60 task elements based on the studies precedented and literature review and pilot test process. This study was conducted in school food service systems nationwide using written questionnaire and interview with the official in charge and delphi technique. The questionnaires were mailed to the dieticians of three types of school food service systems. Of the 660 schools that participated in this study, the 624 responses were selected for analysis. Statistical analyses were performed with SAS/Win 6.12 program so as to provide a descriptive statistics, T-test, ANOVA. The main results of this study could be summarized as follows: A characteristic common to all the school food service systems was that 'cooking and distribution management' took the longest hours of work, while 'nutrition education' took the shortest hours of work. The standardized index of dietician over school food service was one person in conventional system independently of the number of meals per day. In the commissary system, according to the numbers of meals served per day, it was 0.95-1.38 persons and 1.27-1.55 persons and 1.40-1.91 persons. In joint management system, the standardized index was 1.03-1.42 persons in case of serving less than 700 meals per day.

• Journal of the Korean Institute of Landscape Architecture
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• v.18 no.2
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• pp.127-142
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• 1990

Comparative studies on the quality of life, a new research specialization,have emerged only in recent years and are experiencing vigorous development in many parts of the world This study is a two year phasing-in project carried out by a jointed research team between Seoul National University and Tokyo University. As the first study of the project series, the aim of the study is to learn how different the quality of life(QOL) between Seoul and Tokyo and how the students of both cities assign the relative weights to parameters of the quality of life in their cities. The study also attempts to illustrate the current state of the art in this new field. Seoul and Tokyo are located very closely bur their physical, socia-economic and cultural aspects are not the same but rather different. Here is our interest and the reason why we started out study. The study is divided into the following two principal parts: (1 ) The survey of the variables influencing the puality of life in Seoul and Tokyo (2) The survey of the attitude of students towards the relative importance of parameter of the quality of life in Seoul and Tokyo. The researches of the variables were carried out utilizing the existing official statistics derived from 1988 Seout Statistical Year Book and 1987 Tokyo Statistical Year Book. Therefore, the choice of indicators was largely limited to data that had been compiled in two yearbooks. The attitude surveys of students were carried out by interview. The questionnaire consists of a face sheet and a question which is designed to produce information on the relative importance of the parameters by the paired comparison method.

• Journal of Korea Water Resources Association
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• v.44 no.8
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• pp.639-652
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• 2011

In this study, the suitability of drought indices was analyzed using the quantified drought records from official reports, newspapers and drought indices estimated using precipitation and air temperature data of 69 weather stations from 1973 to 2009. Test statistics of the suitability of meteorological drought indices were evaluated using the ROC analysis. Results demonstrated that PN shows the best relationships with drought records. SPI3 and Deciles Distribution Ratio also show good relationships with drought records and their variability according to the administrative divisions is relatively small. Results of the analysis of the spatial and temporal variability of drought and the accuracy of the drought indices can be used to evaluate the accuracy of drought indices in drought monitoring and prediction, and to select the best index in drought management.

• Journal of the Korean Society of Systems Engineering
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• v.11 no.2
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• pp.61-73
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• 2015

The early-phase naval ship design demands requirements synthesis rather than design synthesis, which conducts engineering design for several domains on a detailed level. Requirements synthesis focuses on creating a balanced set of required operational capabilities satisfying user's needs and concept of operations. Requirements are evolved from capability based languages to function based language by statistical exploration and engineering design which are derived in the following order: concept alternative, concept baseline, initial baseline and functional baseline. The early-phase naval ship design process can be divided into three passes: concept definition, concept exploration and concept development. Main activities and outcomes in each pass are shortly presented. Concept definition is the first important step that produces a concept baseline through extensive design space exploration promptly. Design space exploration applies a statistical approach to explore design trends of existing ships and produce feasible design range corresponding to concept alternative. It further helps naval systems engineers and operational researchers by inducing useful responses to user and stakeholders' questions at a sufficient degree of confidence and success in the very early ship design. The focus of this paper is on the flow of design space exploration, and its application to a high-speed patrol craft. The views expressed in this paper are those of the authors, and do not reflect the official policy or rule of the Navy.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.61-72
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• 2020

The fear of crime, discussed in the early 1960s in the United States, is a psychological response, such as anxiety or concern about crime, the potential victim of a crime. These anxiety factors lead to the burden of the individual in securing the psychological stability and indirect costs of the crime against the society. Fear of crime is not a good thing, and it is a part that needs to be adjusted so that it cannot be exaggerated and distorted by the policy together with the crime coping and resolution. This is because fear of crime has as much harm as damage caused by criminal act. Eric Pawson has argued that the popular impression of violent crime is not formed because of media reports, but by official statistics. Therefore, the police should watch and analyze news related to fear of crime to reduce the social cost of fear of crime and prepare a preemptive response policy before the people have 'fear of crime'. In this paper, we propose a deep - based news classification system that helps police cope with crimes related to crimes reported in the media efficiently and quickly and precisely. The goal is to establish a system that can quickly identify changes in security issues that are rapidly increasing by categorizing news related to crime among news articles. To construct the system, crime data was learned so that news could be classified according to the type of crime. Deep learning was applied by using Google tensor flow. In the future, it is necessary to continue research on the importance of keyword according to early detection of issues that are rapidly increasing by crime type and the power of the press, and it is also necessary to constantly supplement crime related corpus.