• Title/Summary/Keyword: 기초과학정책

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Development of Hazard-Level Forecasting Model using Combined Method of Genetic Algorithm and Artificial Neural Network at Signalized Intersections (유전자 알고리즘과 신경망 이론의 결합에 의한 신호교차로 위험도 예측모형 개발에 관한 연구)

  • Kim, Joong-Hyo;Shin, Jae-Man;Park, Je-Jin;Ha, Tae-Jun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.4D
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    • pp.351-360
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    • 2010
  • In 2010, the number of registered vehicles reached almost at 17.48 millions in Korea. This dramatic increase of vehicles influenced to increase the number of traffic accidents which is one of the serious social problems and also to soar the personal and economic losses in Korea. Through this research, an enhanced intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network will be developed in order to obtain the important data for developing the countermeasures of traffic accidents and eventually to reduce the traffic accidents in Korea. Firstly, this research has investigated the influencing factors of road geometric features on the traffic volume of each approaching for the intersections where traffic accidents and congestions frequently take place and, a linear regression model of traffic accidents and traffic conflicts were developed by examining the relationship between traffic accidents and traffic conflicts through the statistical significance tests. Secondly, this research also developed an intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network through applying the intersection traffic volume, the road geometric features and the specific variables of traffic conflicts. Lastly, this research found out that the developed model is better than the existed forecasting models in terms of the reliability and accuracy by comparing the actual number of traffic accidents and the predicted number of accidents from the developed model. In conclusion, it is expect that the cost/effectiveness of any traffic safety improvement projects can be maximized if this developed intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network use practically at field in the future.

The Effect of Motivation and Social Support on Burden of Spouse Caregivers: Focused on Gender Differences (배우자 부양자의 부양 동기, 사회적 지지와 부양 부담: 성별 차이를 중심으로)

  • Han, Gyoung-Hae;Lee, Seo-youn
    • 한국노년학
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    • v.29 no.2
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    • pp.683-699
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    • 2009
  • Family caregiving to the elderly is one of the most important social issues in recent Korea. Among various kinds of family caregivers, spouse caregivers particularly constitute a special group, generally characterized by continuous intimate association with the care recipients at many levels and by special commitments and responsibilities associated with the marriage bond. And the number of spouse caregiver is expected to increase in the future. Moreover, since a conjugal relation is consisted of husband and wife, their caregiving experiences and caregiving burden may vary by gender. Thus, the present study was to examine the effect of caregiving experience, especially caregiving motivation and social support focusing on the gender differences. We analysed 「2001 Survey of Care-giving Status and welfare Needs of Older Persons in Korea」 data by performing descriptive statistics, t-test and logistic regression. As a result, we found that the husband was likely to feel more burden when he started caregiving because of few alternatives. For wife caregivers, the less awareness of social support they had, the more possibility of economic burden they felt. With these results, we suggest the necessity of having gender-sensitive perspective in research and policy making for caregivers.

Estimation of Economic Benefits Based on Appropriate Allocation of Emergency Medical Beds by Region in South Korea (지역별 응급의료병상 적정 분배에 따른 경제적 편익 추정)

  • Jeong Min Yang;Min Soo Kim;Jae Hyun Kim
    • Health Policy and Management
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    • v.34 no.1
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    • pp.17-25
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    • 2024
  • Background: This study aimed to assess the appropriate allocation of emergency medical beds across 17 provinces and presume the economic benefits associated with such allocation. Methods: To estimate the optimal allocation of emergency medical beds by province, data from the Statistics Korea's "cause of death statistics (2014-2021)," regional statistics on "area, population, gender, age," and "population projections" were utilized. The "number of emergency beds by city and district" provided by the Health Insurance Review and Assessment Service was also used. In estimating the economic benefits of preventing avoidable emergency deaths due to the expansion of emergency medical facilities, guidelines from the Korea Development Institute and the Korea Transport Institute were referenced to calculate the wage loss costs associated with emergency deaths and estimate the economic benefits. Results: The optimal ratio of emergency medical beds allocation by region was highest in Gyeonggi, Seoul, Gyeongnam, Gyeongbuk, and Busan, while Daejeon, Jeju, and Sejong showed lower ratios. Additionally, the prevention of avoidable deaths and economic benefits resulting from the increase in emergency medical facilities were highest in Gyeonggi, Seoul, Gyeongbuk, Gyeongnam, and Busan. However, when standardized by population, the prevention of avoidable deaths and economic benefits were analyzed to be highest in Gyeongbuk, Chungnam, Jeonnam, Gyeongnam, and Busan. Conclusion: The results of this study can serve as foundational data for future policy measures aimed at addressing the imbalance in the supply of emergency medical facilities across regions. Considering regional characteristics in the distribution of emergency medical facilities is expected to ultimately increase the efficiency of national finances and yield economic benefits.

A Study on the Collection Strategies of Library Materials for the National Library for the Disabled (국립장애인도서관 장애인자료 수집전략 연구)

  • Sin-Young Kim;Ok nam Park
    • Journal of Korean Library and Information Science Society
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    • v.54 no.4
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    • pp.123-150
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    • 2023
  • The National Library for the Disabled was upgraded to a primary affiliated organization of the Ministry of Culture, Sports and Tourism on June 4, 2020, in accordance with Article 24 (1) of the Library Act (Law No. 16685). The National Library for the Disabled is currently preparing to build an independent library building. Now that the National Library for the Disabled has secured its independent legal status, it must become a specialized national library by comprehensively collecting not only alternative materials for the disabled, but also domestic and foreign materials useful to researchers related to the disabled. Accordingly, the purpose of this study is to conduct basic research for comprehensive and strategic collection of library materials for people with disabilities, which is an essential part of the statutory work of the National Library for the Disabled. To this end, the concept and category of library materials for the disabled that are expected to be useful for satisfying the intellectual needs of the disabled and for education and research related to the disabled were established targeting knowledge information resources produced and distributed domestically and internationally. Next, based on the current collection development policy of the National Library for the Disabled, an implementation strategy and mid to long term roadmap for comprehensively collecting library materials were presented.

The Classification System and Information Service for Establishing a National Collaborative R&D Strategy in Infectious Diseases: Focusing on the Classification Model for Overseas Coronavirus R&D Projects (국가 감염병 공동R&D전략 수립을 위한 분류체계 및 정보서비스에 대한 연구: 해외 코로나바이러스 R&D과제의 분류모델을 중심으로)

  • Lee, Doyeon;Lee, Jae-Seong;Jun, Seung-pyo;Kim, Keun-Hwan
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.127-147
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    • 2020
  • The world is suffering from numerous human and economic losses due to the novel coronavirus infection (COVID-19). The Korean government established a strategy to overcome the national infectious disease crisis through research and development. It is difficult to find distinctive features and changes in a specific R&D field when using the existing technical classification or science and technology standard classification. Recently, a few studies have been conducted to establish a classification system to provide information about the investment research areas of infectious diseases in Korea through a comparative analysis of Korea government-funded research projects. However, these studies did not provide the necessary information for establishing cooperative research strategies among countries in the infectious diseases, which is required as an execution plan to achieve the goals of national health security and fostering new growth industries. Therefore, it is inevitable to study information services based on the classification system and classification model for establishing a national collaborative R&D strategy. Seven classification - Diagnosis_biomarker, Drug_discovery, Epidemiology, Evaluation_validation, Mechanism_signaling pathway, Prediction, and Vaccine_therapeutic antibody - systems were derived through reviewing infectious diseases-related national-funded research projects of South Korea. A classification system model was trained by combining Scopus data with a bidirectional RNN model. The classification performance of the final model secured robustness with an accuracy of over 90%. In order to conduct the empirical study, an infectious disease classification system was applied to the coronavirus-related research and development projects of major countries such as the STAR Metrics (National Institutes of Health) and NSF (National Science Foundation) of the United States(US), the CORDIS (Community Research & Development Information Service)of the European Union(EU), and the KAKEN (Database of Grants-in-Aid for Scientific Research) of Japan. It can be seen that the research and development trends of infectious diseases (coronavirus) in major countries are mostly concentrated in the prediction that deals with predicting success for clinical trials at the new drug development stage or predicting toxicity that causes side effects. The intriguing result is that for all of these nations, the portion of national investment in the vaccine_therapeutic antibody, which is recognized as an area of research and development aimed at the development of vaccines and treatments, was also very small (5.1%). It indirectly explained the reason of the poor development of vaccines and treatments. Based on the result of examining the investment status of coronavirus-related research projects through comparative analysis by country, it was found that the US and Japan are relatively evenly investing in all infectious diseases-related research areas, while Europe has relatively large investments in specific research areas such as diagnosis_biomarker. Moreover, the information on major coronavirus-related research organizations in major countries was provided by the classification system, thereby allowing establishing an international collaborative R&D projects.

Classification of Urban Green Space Using Airborne LiDAR and RGB Ortho Imagery Based on Deep Learning (항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류)

  • SON, Bokyung;LEE, Yeonsu;IM, Jungho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.3
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    • pp.83-98
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    • 2021
  • Urban green space is an important component for enhancing urban ecosystem health. Thus, identifying the spatial structure of urban green space is required to manage a healthy urban ecosystem. The Ministry of Environment has provided the level 3 land cover map(the highest (1m) spatial resolution map) with a total of 41 classes since 2010. However, specific urban green information such as street trees was identified just as grassland or even not classified them as a vegetated area in the map. Therefore, this study classified detailed urban green information(i.e., tree, shrub, and grass), not included in the existing level 3 land cover map, using two types of high-resolution(<1m) remote sensing data(i.e., airborne LiDAR and RGB ortho imagery) in Suwon, South Korea. U-Net, one of image segmentation deep learning approaches, was adopted to classify detailed urban green space. A total of three classification models(i.e., LRGB10, LRGB5, and RGB5) were proposed depending on the target number of classes and the types of input data. The average overall accuracies for test sites were 83.40% (LRGB10), 89.44%(LRGB5), and 74.76%(RGB5). Among three models, LRGB5, which uses both airborne LiDAR and RGB ortho imagery with 5 target classes(i.e., tree, shrub, grass, building, and the others), resulted in the best performance. The area ratio of total urban green space(based on trees, shrub, and grass information) for the entire Suwon was 45.61%(LRGB10), 43.47%(LRGB5), and 44.22%(RGB5). All models were able to provide additional 13.40% of urban tree information on average when compared to the existing level 3 land cover map. Moreover, these urban green classification results are expected to be utilized in various urban green studies or decision making processes, as it provides detailed information on urban green space.

Prediction Study on Major Movement Paths of Otters in the Ansim-wetland Using EN-Simulator (EN-Simulator를 활용한 안심습지 일원 수달의 주요 이동경로 예측 연구)

  • Shin, Gee-Hoon;Seo, Bo-Yong;Rho, Paikho;Kim, Ji-Young;Han, Sung-Yong
    • Journal of Environmental Impact Assessment
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    • v.30 no.1
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    • pp.13-23
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    • 2021
  • In this study, we performed a Random Walker analysis to predict the Major Movement Paths of otters. The scope of the research was a simulation analysis with a radius of 7.5 km set as the final range centered on the Ansim-wetland in Daegu City, and a field survey was used to verify the model. The number of virtual otters was set to 1,000, the number of moving steps was set to 1,000 steps per grid, and simulations were performed on a total of 841 grids. As a result of the analysis, an average of 147.6 objects arrived at the boundary point under the condition of an interval of 50 m. As a result of the simulation verification, 8 points (13.1%) were found in the area where the movement probability was very high, and 9 points (14.8%) were found in the area where the movement probability was high. On the other hand, in areas with low movement paths probabilities, there were 8 points (13.1%) in low areas and 4 points (6.6%) in very low areas. Simulation verification results In areas with high otter values, the actual otter format probability was particularly high. In addition, as a result of investigating the correlation with the otter appearance point according to the unit area of the evaluation star of the movement probability, it seems that 6.8 traces were found per unit area in the area where the movement probability is the highest. In areas where the probability of movement is low, analysis was performed at 0.1 points. On the side where otters use the major movement paths of the river area, the normal level was exceeded, and as a result, in the area, 23 (63.9%), many form traces were found, along the major movement paths of the simulation. It turned out that the actual otter inhabits. The EN-Simulator analysis can predict how spatial properties affect the likelihood of major movement paths selection, and the analytical values are used to utilize additional habitats within the major movement paths. It is judged that it can be used as basic data such as to grasp the danger area of road kill in advance and prevent it.

Review of Domestic Research Trends on Layered Double Hydroxide (LDH) Materials: Based on Research Articles in Korean Citation Index (KCI) (이중층수산화물(layered double hydroxide, LDH) 소재의 국내 연구동향 리뷰: 한국학술지인용색인(KCI)에 발표된 논문을 대상으로)

  • Seon Yong Lee;YoungJae Kim;Young Jae Lee
    • Economic and Environmental Geology
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    • v.56 no.1
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    • pp.23-53
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    • 2023
  • In this review paper, previous studies on layered double hydroxides (LDHs) published in the Korean Citation Index (KCI) were examined to investigate a research trend for LDHs in Korea. Since the first publication in 2002, 160 papers on LDHs have been published until January 2023. Among the 31 academic fields, top 5 fields appeared in the order of chemical engineering, chemistry, materials engineering, environmental engineering, and physics. The chemical engineering shows the highest record of published paper (71 papers) while around 10 papers have been published in the other four fields. All papers were reclassified into 15 research fields based on the industrial and academic purposes of using LDHs. The top 5 in these fields are in order of environmental purification materials, polymer catalyst materials, battery materials, pharmaceutical/medicinal materials, and basic physicochemical properties. These findings suggest that researches on the applications of LDH materials in the academic fields of chemical engineering and chemistry for the improvement of their functions such as environmental purification materials, polymer catalysts, and batteries have been being most actively conducted. The application of LDHs for cosmetic and agricultural purposes and for developing environmental sensors is still at the beginning of research. Considering a market-potential and high-efficiency-eco-friendly trend, however, it will deserve our attention as emerging application fields in the future. All reclassified papers were summarized in our tables and a supplementary file, including information on applied materials, key results, characteristics and synthesis methods of LDHs used. We expect that our findings of overall trends in LDH research in Korea can help design future researches with LDHs and suggest policies for resources and energies as well as environments efficiently.

Elementary School Students' Amounts of Sugar, Sodium, and Fats Exposure through Intake of Processed Food (초등학생의 주요 가공식품으로부터 섭취하는 당, 나트륨, 지방류 등의 노출실태 조사 연구)

  • Kang, Moon-Hee;Yoon, Ki-Sun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.38 no.1
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    • pp.52-61
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    • 2009
  • The purpose of this study was to investigate the extent of excessive sugar, sodium, cholesterol, and saturated fat consumptions by elementary school students through processed food's intake. A survey study was conducted with 384 fourth and sixth grade students and their mothers from two schools in Seoul and Gyeonggi province. The data were analyzed for the frequency analysis, chi-square test and Pearson correlation using the SPSS/Windows (ver. 15.0). Results showed that students consumed high amounts of sugars through processed milk and carbonated beverages, and yogurt. Additionally, they had high sodium and saturated fat levels in their diet through Ramen. There was significant correlation (p<0.01) between mothers' purchasing and students' intake of processed food. Overall, both students and mothers had some knowledge on the impact of sodium on human health. About 50 percent of the respondents did not have accurate information about cholesterol, saturated fat, and trans fat. More than 50 percent of students and mothers had no nutritional education on the risk of excessive intake of sugar, sodium, cholesterol, saturated fat, and trans fat. Top twenty percent of the students had 39.7 g of sugar, 940.1 mg of sodium, 17.8 mg of cholesterol, and 11.2 g of saturated fat through processed foods per day on the average. These results suggest that execution of nutritional education about processed food is needed for high risk group of elementary school students and their mothers. Moreover, government must enact the regulation and policy for the food industry to reduce the risky nutrients from children's favorite processed food.

An Analysis of the National Suicide Rate in Korea during 2005 (2005년 전국 자살실태 분석)

  • Kim, Gi-Jeong;Kwak, Jyung-Sik
    • Journal of forensic and investigative science
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    • v.2 no.1
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    • pp.5-22
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    • 2007
  • From the numerous social problems generated by the unbalanced social development and the social trend of belittling life overall, we found the causes of suicide getting worse in its seriousness day by day. In reality, the problem has been approached in a collateral level in contrast with other social problems. There have been an active involvement in studying the definition, causes and ways of prevention of suicide theoretically until now. However, different from other social problems, it is almost impossible to treat or fix the problem of suicide. Only ways to treat or fix the problem is when the suicide has ended in failure. Thus, this study intends to examine the suicide rate among the total accidents during the year 2005, perform the analyses on the actual causes according to the relations such as the means of suicide, occupation, age group, educational background, etc. In order to present a solution to the issue of suicide becoming serious each day. Among the total accidents in 2005, the suicide rate came out to be approximately 52.4%. Among the result, 52.4%, male with 69% resulted higher than female with 31%, which appears to be related to the social functions. While men tends to take more active(80%) means of suicide like jumping off, poison, hanging, etc., women tends to take more passive(60%) means of suicide like sleeping pills, slitting wrist, etc. In terms of the cause, pessimism, illness, denial, mental disorder, etc resulted more than 75%, and there were many cases of suicide after exhibiting the signs of depression. Also there were higher suicide rate of the unemployed engaged in direct labor with educational background lower than college level related to the pessimism regarding the family living cost. We were able to determine the recent increase in the suicidal tendency of the educated people higher than the college level and the retired people with depression caused by the sudden change in social status. Overall there are several reasons for suicide, however, in most cases the signs of depression were exhibited until the final suicide, which tells us the serious psychological problem of suicide. Assuming that the current development of suicide will continue in future, the result of this study will guide the corresponding social policies, be utilized in preparing the insurance or management at the national level dealing with the real social problems that are not just a conflict of an individual, but could spread like a fad and become much bigger than the present by the continuous support at the environmental, social and political levels, and be utilized as the basic data to establish the research plan.

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