• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4D
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• pp.459-467
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• 2008

Because of the insufficiency of ground space, the utilization of underground is getting more and more in these days. Moreover, underground space is being used not only buildings but multipurpose space for movement, storage and shopping. However, ground space has vital weakness for fire compared to ground space. Especially in case of underground shopping center, there are various stuffs to burn and poisonous gas can be exposed on this count when the space is burned. A large number of casualties can be also occurred from conflagration as underground space has closed structures that prevent rapid evacuation and access. Therefore, this research proposes the guidance methodology for evacuation from conflagration in large-sized underground facilities. In addition, suggested methodology uses high technology wireless sensor information from up-to-date ubiquitous sensor networks. Fire information collected by sensors is integrated with existing underground facilities information and this is sent to guidance systems by inducing process. In the end, this information is used for minimum time paths finding algorithm considering the passageway capacity and distance. Also, usefulness and inadequacies of proposed methodology is verified by a case study.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.669-674
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• 2023

This study examined the specific contents of social welfare policies of the Joseon Dynasty through the analysis of Mokminsimseo, Aemin Sixjo and Jinhwang Yukjo, and identified the connection between them and today's social welfare policies. As a result, In the Care of the People, it contained the basic contents of the Elderly Welfare Act and welfare services for the elderly, and in the Freedom, it included welfare policy services related to infants and children, and the value system of welfare for the disabled through government affairs. The policy direction was confirmed, and it was found that disaster relief calls for social integration in response to social crises and disasters. This also confirmed that major areas of social welfare policy such as family safety, income security, health policy, and social integration have been emphasized through social welfare policy indicators. In addition, through the analysis of Qinhwangyukjo, it was found that it contains not only the basic ideology and values of the social security system and social insurance system in terms of visa, scale, and power, but also the details of specific policy implementation. Today's social welfare policies and social service policies, which are equipped with social welfare facilities and are implementing systematic social welfare services for each target, were able to confirm their foundation through the Qinhwangyukjo. This confirms that the emphasis on social integration and income security is prominent in the Qinhwangyukjo through the social welfare policy indicators of the current policy system.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.68-68
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• 2020

최근 농촌진흥청과 기상청에서 발표한 연구자료에 따르면 2020년 기준으로 국내 경지면적의 10% 가량이 이미 아열대 기후대에 속하고 있을 뿐 현재 추세대로 온실가스가 배출될 경우 2100년경 우리나라의 대부분 지역은 아열대 기후대에 속하게 될 것으로 전망되고 있다. 이에 국가 기관뿐만 아니라 많은 지자체에서 기후변화에 대응하여 아열대 작물을 도입하기 위한 시도를 활발하게 추진하고 있다. 아열대 작물 중 국내에서 3번째로 많이 활용되고 있는 삼채는 기능성 물질을 다량으로 함유하고 있어 수요도가 지속적으로 증가하고 있다. 하지만, 삼채의 경우 일반적인 원예 작물과는 달리 실생 종자를 상업적으로 이용하고 있어 종자들의 발아율이 균일하지 못할 뿐만 아니라 발아율이 낮은 문제가 있는 것으로 보고되고 있다. 이에 삼채의 경우 농가에서 정식 시기를 맞추기 어려울 뿐만 아니라 대규모 생산을 위한 공정육묘 시스템의 적용이 어려운 상황에 있다. 종자 프라이밍 기술은 잠재적으로 종자 발아와 식물 생장을 빠르고 균일하게 해줄 수 있는 방법으로 알려져 있지만, 현재 삼채에서는 프라이밍 처리가 종자 발아에 미치는 영향에 대해서 검토한 사례가 없다. 따라서 본 연구는 삼채의 파종 효율을 증진시키기 위한 목적으로 몇 가지 프라이밍 처리 방법이 삼채의 발아특성에 미치는 영향을 검정하고자 하였다. 삼채 종자는 (주)아람종묘사의 종자를 구매하여 강릉원주대학교 생명과학대학에서 수행하였다. 프라이밍 처리는 Hydropriming은 증류수, Osmopriming은 CaCl2 1.0%, Halopriming은 Polyrthylene glycol 6000(PEG) 13.5%의 3가지를 사용하였으며, 각 프라이밍 처리 시간은 6시간, 12시간, 18시간, 24시간, 48시간 총 5가지 방법으로 처리되어 대조구를 포함 총 16개의 처리를 하였다. 프라이밍 처리 된 종자는 페트리디쉬 (50mm)에 30립씩 치상하였다. 프라이밍 각 처리구별 4반복으로 하였으며 24시간 암(Black), 온도 20℃의 조직배양실에서 치상 후 10일간 조사하였다. 본 실험 결과 대조구는 38% 발아율을 가졌으며, 프라이밍 처리 시간에 따른 각 처리구들은 대조구에 비해 발아율이 높아짐을 확인할 수 있었다. 그 중 Hydropriming 12시간 발아율 51%, Osmopriming 18시간 발아율 68%, Halopriming 48시간 발아율 65%로 각 프라이밍 처리구별 가장 좋은 발아율을 확인할 수 있었다. 결론적으로 삼채에서 프라이밍 처리 기술의 적용은 발아율의 향상과 발아기간의 정형화를 유도할 수 있어 농가에서의 일반 육묘는 물론이고 대규모 공정육묘를 위한 저렴하고 안전한 방법 중 하나로써 이용될 수 있을 것으로 기대되어 진다.

• Journal of Korea Water Resources Association
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• v.56 no.11
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• pp.721-728
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• 2023

Agricultural drought is triggered by a depletion of moisture content in the soil, which hinders photosynthesis and thus increases carbon dioxide (CO₂) concentrations in the atmosphere. The aim of this study is to analyze the relationship between soil moisture (SM) and vegetation activity toward quantifying CO₂ concentration in the atmosphere. To this end, the MODerate resolution imaging spectroradiometer (MODIS), an optical multispectral sensor, was used to evaluate two regions in South Korea for validation. Vegetation activity was analyzed through MOD13A1 vegetation indices products, and MODIS gross primary productivity (GPP) product was used to calculate the CO₂ flux based on its relationship with respiration. In the case of SM, it was calculated through the method of applying apparent thermal inertia (ATI) in combination with land surface temperature and albedo. To validate the SM and CO₂ flux, flux tower data was used which are the observed measurement values for the extreme drought period of 2014 and 2015 in South Korea. These two variables were analyzed for temporal variation on flux tower data as daily time scale, and the relationship with vegetation index (VI) was synthesized and analyzed on a monthly scale. The highest correlation between SM and VI (correlation coefficient (r) = 0.82) was observed at a time lag of one month, and that between VI and CO₂ (r = 0.81) at half month. This regional study suggests a potential capability of MODIS-based SM, VI, and CO₂ flux, which can be applied to an assessment of the global view of the agricultural drought by using available satellite remote sensing products.

• Tunnel and Underground Space
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• v.34 no.3
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• pp.208-217
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• 2024

There is so much research effort for developing and implementing deep learning-based surveillance systems to manage health and safety issues in construction sites. Especially, the development of deep learning-based object detection in various environmental changes has been progressing because those affect decreasing searching performance of the model. Among the various environmental variables, the accuracy of the object detection model is significantly dropped under low illuminance, and consistent object detection accuracy cannot be secured even the model is trained using low-light images. Accordingly, there is a need of low-light enhancement to keep the performance under low illuminance. Therefore, this paper conducts a comparative study of various deep learning-based low-light image enhancement models (GLADNet, KinD, LLFlow, Zero-DCE) using the acquired construction site image data. The low-light enhanced image was visually verified, and it was quantitatively analyzed by adopting image quality evaluation metrics such as PSNR, SSIM, Delta-E. As a result of the experiment, the low-light image enhancement performance of GLADNet showed excellent results in quantitative and qualitative evaluation, and it was analyzed to be suitable as a low-light image enhancement model. If the low-light image enhancement technique is applied as an image preprocessing to the deep learning-based object detection model in the future, it is expected to secure consistent object detection performance in a low-light environment.

• Korean Journal of Ecology and Environment
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• v.51 no.1
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• pp.105-123
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• 2018

Currently, satellite images act as essential and important data in water resources, environment, and ecology as well as information of geographic information system. In this paper, we will investigate basic characteristics of satellite images, especially application examples in water resources. In recent years, researches on spatial and temporal characteristics of large-scale regions utilizing the advantages of satellite imagery have been actively conducted for fundamental hydrological components such as evapotranspiration, soil moisture and natural disasters such as drought, flood, and heavy snow. Furthermore, it is possible to analyze temporal and spatial characteristics such as vegetation characteristics, plant production, net primary production, turbidity of water bodies, chlorophyll concentration, and water quality by using various image information utilizing various sensor information of satellites. Korea is planning to launch a satellite for water resources and environment in the near future, so various researches are expected to be activated on this field.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.64-80
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• 2018

In Korea, citizens can only know general information about crime. Thus it is difficult to know how much they are exposed to crime. If the police can predict the crime risky area, it will be possible to cope with the crime efficiently even though insufficient police and enforcement resources. However, there is no prediction system in Korea and the related researches are very much poor. From these backgrounds, the final goal of this study is to develop an automated crime prediction system. However, for the first step, we build a big data set which consists of local real crime information and urban physical or non-physical data. Then, we developed a crime prediction model through machine learning method. Finally, we assumed several possible scenarios and calculated the probability of crime and visualized the results in a map so as to increase the people's understanding. Among the factors affecting the crime occurrence revealed in previous and case studies, data was processed in the form of a big data for machine learning: real crime information, weather information (temperature, rainfall, wind speed, humidity, sunshine, insolation, snowfall, cloud cover) and local information (average building coverage, average floor area ratio, average building height, number of buildings, average appraised land value, average area of residential building, average number of ground floor). Among the supervised machine learning algorithms, the decision tree model, the random forest model, and the SVM model, which are known to be powerful and accurate in various fields were utilized to construct crime prevention model. As a result, decision tree model with the lowest RMSE was selected as an optimal prediction model. Based on this model, several scenarios were set for theft and violence cases which are the most frequent in the case city J, and the probability of crime was estimated by $250{\times}250m$ grid. As a result, we could find that the high crime risky area is occurring in three patterns in case city J. The probability of crime was divided into three classes and visualized in map by $250{\times}250m$ grid. Finally, we could develop a crime prediction model using machine learning algorithm and visualized the crime risky areas in a map which can recalculate the model and visualize the result simultaneously as time and urban conditions change.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1135-1144
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• 2023

Many agricultural reservoirs in South Korea, constructed before 1970, have become aging facilities. The majority of small-scale reservoirs lack measurement systems to ascertain basic specifications and water levels, classifying them as unmeasured reservoirs. Furthermore, continuous sedimentation within the reservoirs and industrial development-induced water quality deterioration lead to reduced water supply capacity and changes in reservoir morphology. This study utilized Light Detection And Ranging (LiDAR) sensors, which provide elevation information and allow for the characterization of surface features, to construct high-resolution Digital Surface Model (DSM) and Digital Elevation Model (DEM) data of reservoir facilities. Additionally, bathymetric measurements based on multibeam echosounders were conducted to propose an updated approach for determining reservoir capacity. Drone-based LiDAR was employed to generate DSM and DEM data with a spatial resolution of 50 cm, enabling the display of elevations of hydraulic structures, such as embankments, spillways, and intake channels. Furthermore, using drone-based hyperspectral imagery, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) were calculated to detect water bodies and verify differences from existing reservoir boundaries. The constructed high-resolution DEM data were integrated with bathymetric measurements to create underwater contour maps, which were used to generate a Triangulated Irregular Network (TIN). The TIN was utilized to calculate the inundation area and volume of the reservoir, yielding results highly consistent with basic specifications. Considering areas that were not surveyed due to underwater vegetation, it is anticipated that this data will be valuable for future updates of reservoir capacity information.

• Journal of Cadastre & Land InformatiX
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• v.54 no.1
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• pp.63-74
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• 2024

The fundamental basis for revitalizing cultural resources and developing content is national heritage(cultural property). In national heritage, cultural heritage is a tangible cultural heritage that represents the uniqueness of history and tradition, identity, and changes in life. In the case of museums, the collections (a museum-owned cultural heritage) represent the unique characteristics of the institution. In South Korea, it is recommended that museum collections be registered and used in the Cultural Heritage Standard Management System so that cultural heritage can be managed and utilized in connection with academics, industry, and administration. However, due to a lack of awareness of modern and contemporary heritage, the thematic classification chronology of the system was set mainly before the Joseon Dynasty, and a cultural heritage classification system suitable for national land information has not been established. Therefore, this study aims to propose a classification system for cadastral cultural heritage, based on the modern era when cadastral terminology was first used, using the cultural heritage owned by the LX Museum. Cadastral cultural heritage is characterized by the fact that although it is a field of specialized technology, the surveying or the production of it is not done by specific individuals only, and that while the production is professional, there are many educational aspects in its use. Therefore, unlike other specialized museum collections that are classified based on the functional aspects of their production methods, intended use, and creators, the classification method for cadastral cultural artifacts should be based on the characteristics of the cadastral tools and the outputs. This classification follows a three-tier stages with reference to the items in the Cultural Heritage Standard Management System. This classification aims at the effective use of knowledge by categorizing concepts and systematizing the subjects of data into a series of orders. A safe conservation and management environment for cadastral cultural heritage can be established, and academic and socio-cultural interpretation of the collection is possible by this classfication. Moreover, It is also expected to serve the basis for the national land information as well as searching for the national land information research, planning a exhibition, and the field of education in museum.

• The Korean Society of Law and Medicine
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• v.17 no.2
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• pp.85-124
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• 2016

The Human gene testing act (GenDG) in Germany starts from the characteristic features of gene testing, i.e. dualisting structure consisted of anlaysis on the one side and the interpretation on the other side. The linguistic distincion of 'testing', 'anlaysis' and 'judgment' in the act is a fine example. Another important basis of the regulation is the ideological purpose of the law, that is information autonomy. The normative texts as such and the founding principle are the basis of the classification of testing types. Especially in the case of gene testing for medical purpose is classified into testing for diagnostic purpose and predictive purpose. However, those two types are not always clearly differentiated because the predictive value of testing is common in both types. In the legal regulation of gene testing it is therefore important to manage the uncertainty and subjectivity which are inherent in the gene-analysis and the judgment. In GenDG the system ensuring the quality of analysis is set up and GEKO(Commity for gene tisting) based on the section 23 of GenDG concretes the criterium of validity through guidelines. It is also very important in the case of gene testing for medical purpose to set up the system for ensurement of procedural rationality of the interpretation. The interpretation of the results of analysis has a wide spectrum because of the consistent development of technology on the one side and different understandings of different subjects who performs gene testings. Therefore the process should include the communication process for patients in oder that he or she could understand the meaning of gene testing and make plans of life. In GenDG the process of genetic counselling and GEKO concretes the regulation very precisely. The regulation as such in GenDG seems to be very suggestive to Korean legal polic concerning the gene testing.