• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.3
• /
• pp.149-156
• /
• 2021

This study collected and analyzed case studies related with the use of spatial information in North Korea to prioritize construction and required supporting processes in order to propose a short-term and long-term road map for the establishment of spatial information in North Korea. Recent research cases related to the prioritization of spatial information development were analyzed, and priority for the construction of infrastructure was derived based on the interconnectedness and relationship of national infrastructure. Due to the inaccessibility and remoteness of North Korea, all of the five studies determined priorities according to questionnaires and consulting of refugees and knowledgeable figures by expert groups. In summary, priority was given to unarmed and transborder areas, major cities, special zones, and development zones, while in terms of facilities, priority was given to power communication, railroads, water and sewage architectural buildings, roads, and dams. In the case of prioritizing the establishment of national infrastructure for the unified Korean Peninsula, the development of major areas, ports, and the related city-level spots to develop a line that promotes the sharing of routes such as transportation networks, water, and energy, thus leading to a scenario involving the development of cotton at an urban and national level.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.12
• /
• pp.475-487
• /
• 2020

The current water-management paradigm is changing from the expansion of reservoirs and facilities for simple outflows and non-point source management to the building of a sound water circulation system throughout the watershed. Based on this, water management for the watershed as a whole is establishing standards through local ordinances. The purpose of this study is to establish water cycle targets that are resilient to water management even after the development of cities in watersheds where water management is highly needed. This was done by referring to research and ordinances related to water circulation by local governments. A method is proposed based on a storage and infiltration method for rainfall. Through a comparison of percentiles, it was found that the water circulation target of a planned waterside city can be treated with 52% of total rainfall and 80% of rainfall of 17 mm per day. To quantitatively improve the quality results of these calculation procedures, it is estimated that the calculation of water cycle targets will be more reliable if other various variables such as the safety of low impact development factors or the selection of appropriate specifications are considered later.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.12
• /
• pp.52-59
• /
• 2020

Currently, the domestic electricity rates for houses are charged by applying a progressive level according to monthly electricity usage. Electricity rates rise sharply wWhen the amount of electricity used is large, electricity rates rise sharply. The standardized electricity rate progressive system has limitations in that it lacks consideration of the consumers' power usage patterns and limits consumers' their options. Accordingly, the Ministry of Trade, Industry and Energy and the Korea Electric Power Corporation have been demonstrating the basis of a rate system for housing, which is a method of charging electricity according to the amount of electricity used by season and time. In this paper, 10 electricity usage patterns were derived through from AMI data analysis for 5 five years of 362 apartment complexes located in metropolitan cities. The patterns were, and then applied to the existing domestic electricity rate and time-by-time rates applied to demonstrations, and by time-by-time rates in the US and Australia. The effect of the optional rate by pattern was compared and analyzed. As a result, it was confirmed that benefits occurred in five5 patterns compared to existing rate plans, and the electricity rates increased in 5 five patterns, and t. This phenomenon shows the same phenomenon withis the same as the overseas rates, including domestic rates being demonstrated.

• Korean journal of applied entomology
• /
• v.59 no.4
• /
• pp.333-339
• /
• 2020

Pheromone-based techniques are becoming a viable strategy of insect pest management as facilitated by the exponential increase in numbers of pheromone identifications from many insect pests. This is the report on the efficacy of pheromone-mediated chemical communication disruption (PCD) technique against the Korean population of smaller clearwing moths, Synanthedon tenuis (Butler) (Lepidoptera: Sesiidae) using its female sex pheromone component, (Z, Z)-3, 13-octadecadien-1-ol. The PCD trials were carried out four times during 2016 and 2017 in persimmon orchards located at Suncheon and Jinju Cities in Korea, and the PCD efficacy was expressed as the mean differences in the seasonal catches of S. tenuis males in the PCD and control plots. The seasonal male moth catches in monitoring traps installed in the PCD plots were significantly lower as compared with those installed in the control plots. Consequently, the PCD efficacy in the experimental orchards ranged from 95.2-100% with an average efficacy of 98.8 ± 1.2%, revealing a future possibility of pheromone-based management of S. tenuis.

• Korean Journal of Plant Taxonomy
• /
• v.51 no.1
• /
• pp.49-99
• /
• 2021

Gwangdeoksan Mountain (699.3 m) is the highest border mountain between the two cities of Chungcheongnamdo Province, Cheonan and Asan, Korea. In this study, we investigated the flora of Gwangdeoksan Mt. from April of 2015 to October of 2017. Through 20 independent field investigations, we identified and tallied a total of 428 species, 9 subspecies, 30 varieties, and a forma in 287 genera and 97 families. Of a total of 468 taxa, 128 taxa in 112 genera and 58 families were found to be Korean endemic species (7 taxa), floristic regional indicator species (45 taxa), rare or endangered species (3 taxa), species subject to the approval of outbound transfer (73 taxa), and alien or ecosystem disturbing species (32 taxa). The flora of Gwangdeoksan Mt. can be divided into four distinct floristic subregions, with higher diversity in the north-facing subregion. The complex flora of Gwangdeoksan Mt., emerging at the edge of two floristic regions of the Korean peninsula, may represent a significant conservation priority and a topic for future ecological and geographical studies.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.24 no.1
• /
• pp.92-111
• /
• 2021

As fine dust negatively affects disease, industry and economy, the people are sensitive to fine dust. Therefore, if the occurrence of fine dust can be predicted, countermeasures can be prepared in advance, which can be helpful for life and economy. Fine dust is affected by the weather and the degree of concentration of fine dust emission sources. The industrial sector has the largest amount of fine dust emissions, and in industrial complexes, factories emit a lot of fine dust as fine dust emission sources. This study targets regions with old industrial complexes in local cities. The purpose of this study is to explore the factors that cause fine dust and develop a predictive model that can predict the occurrence of fine dust. weather data and fine dust data were used, and variables that influence the generation of fine dust were extracted through multiple regression analysis. Based on the results of multiple regression analysis, a model with high predictive power was extracted by learning with a machine learning regression learner model. The performance of the model was confirmed using test data. As a result, the models with high predictive power were linear regression model, Gaussian process regression model, and support vector machine. The proportion of training data and predictive power were not proportional. In addition, the average value of the difference between the predicted value and the measured value was not large, but when the measured value was high, the predictive power was decreased. The results of this study can be developed as a more systematic and precise fine dust prediction service by combining meteorological data and urban big data through local government data hubs. Lastly, it will be an opportunity to promote the development of smart industrial complexes.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.1
• /
• pp.29-40
• /
• 2021

Risk factors that threaten public safety such as crime, fire, and traffic accidents have spatial characteristics. Since each region has different dangerous environments, it is necessary to analyze the spatial pattern of risk factors for each sector such as traffic accident, fire, crime, and living safety. The purpose of this study is to analyze the spatial distribution pattern of local safety level index, which act as an index that rates the safety level of each sector (traffic accident, fire, crime, living safety, suicide, and infectious disease) for basic local governments across the nation. The following analysis tools were used to analyze the spatial autocorrelation of local safety level index : Global Moran's I, Local Moran's I, and Getis-Ord's G⁎i. The result of the analysis shows that the distribution of safety level on traffic accidents, fire, and suicide tends to be more clustered spatially compared to the safety level on crime, living safety, and infectious disease. As a result of analyzing significant spatial correlations between different regions, it was found that the Seoul metropolitan areas are relatively safe compared to other cities based on the integrated index of local safety. In addition, hot spot analysis using statistical values from Getis-Ord's G⁎i derived three hot spots(Samchuck, Cheongsong-gun, and Gimje) in which safety-vulnerable areas are clustered and 15 cold spots which are clusters of areas with high safety levels. These research findings can be used as basic data when the government is making policies to improve the safety level by identifying the spatial distribution and the spatial pattern in areas with vulnerable safety levels.

• Journal of Korean Society of Rural Planning
• /
• v.27 no.1
• /
• pp.103-116
• /
• 2021

The purpose of this study is to analyze and diagnose the actual state of extinction risk in rural villages by analyzing time series population characteristics and extinction risk index of rural villages(Haengjeong-ri). As a research method, a time series analysis was performed on the 'population over 65' and the 'female population aged 20 to 39' related to the local extinction index. In addition, the disappearance of Haengjeong-ri village was analyzed using the existing local extinction index. For the study, Haengjeong-ri village-level GIS spatial data was constructed, and population attribute data in 2010, 2015, and 2020 were constructed. In order to derive implications, the change of the 'high risk of extinction 'village in the 2020 local extinction index, the distribution of the population of 'high risk of extinction' villages by three years, the population analysis of 'high risk of extinction' villages continuously from 2010 to 2020, and 'high risk of extinction' An analysis of the increase and decrease of the population of the village and the change of the local extinction index of Haengjeong-ri, where the city, county, and towns are located were analyzed. As a result of the analysis of this study, it was found that the number of villages with an aging of more than 50% increased by 2 to 3 times over 10 years. As a result of the analysis of the local extinction index, in 2010, the southwestern and central regions of South Chungcheongnam-do were high-risk extinction areas, but in 2020, all cities except Cheonan and Asan were converted to high risk extinction areas. Research has shown that Chungnam is facing a serious aging and village extinction crisis, and since the disappearance of villages gradually spreads, an initial response policy is needed. This result will be the same not only in Chungcheongnam-do but also in other rural villages. Therefore, in the case of rural villages, it is necessary to analyze and diagnose the Haengjeong-ri village unit, not the Eup-Myeon unit, and a response policy through diagnosis must be prepared urgently.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.12
• /
• pp.536-546
• /
• 2020

This study examined the correlation between safety practices and safety knowledge, safety awareness and safety efficacy, and the factors influencing the safety practices of in-home child-care providers. The participants were 199 in-home child-care providers who worked at two cities in G province. Using a structured-questionnaire, the data were collected from December 2019 to January 2020. The data were analyzed using the IMB/SPSS 25.0 program. The collected data were analyzed using descriptive statistics (frequency, percent, mean, and SD), a t-test, ANOVA, Scheff test, Pearson Correlation Coefficient, and multiple regression. The mean score for safety knowledge, safety awareness, safety efficacy, and safety practices were 0.64 (SD, 0.09), 1.92 (SD, 0.37), 4.18 (SD, 0.51), and 2.55 (SD, 0.36), respectively. Safety practices were positively correlated with the safety knowledge (r=.14, p=.042), safety efficacy (r=.43, p<.001), and sub-factors of safety efficacy, self-regulation (r=.32, p<.001), enlisting social support (r=.40, p<.001), and controlling the environment (r=.39, p<.001). Enlisting social support and controlling the environment, sub-factors of safety efficacy were influenced safety practices significantly and explained 20.0% of the variance. Based on these findings, it will be necessary to develop a program that can enhance their safety efficacy for safety practices of in-home child-care providers.

• Korean Journal of Remote Sensing
• /
• v.36 no.6_1
• /
• pp.1349-1365
• /
• 2020

In recent years, in the fields of smart cities and digital twins, research on model generation is increasing due to the advantage of acquiring actual 3D coordinates by using point clouds. In addition, there is an increasing demand for a solid model that can easily modify the shape and texture of the building. In this paper, we propose a method to create a clustered solid building model based on point cloud data. The proposed method consists of five steps. Accordingly, in this paper, we propose a method to create a clustered solid building model based on point cloud data. The proposed method consists of five steps. In the first step, the ground points were removed through the planarity analysis of the point cloud. In the second step, building area was extracted from the ground removed point cloud. In the third step, detailed structural area of the buildings was extracted. In the fourth step, the shape of 3D building models with 3D coordinate information added to the extracted area was created. In the last step, a 3D building solid model was created by giving texture to the building model shape. In order to verify the proposed method, we experimented using point clouds extracted from unmanned aerial vehicle images using commercial software. As a result, 3D building shapes with a position error of about 1m compared to the point cloud was created for all buildings with a certain height or higher. In addition, it was confirmed that 3D models on which texturing was performed having a resolution of less than twice the resolution of the original image was generated.