• Journal of The Korea Institute of Healthcare Architecture
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• v.29 no.2
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• pp.49-60
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• 2023

Purpose: This study aims to establish detailed spatial planning by identifying the needs for a seclusion module for emergency psychiatric patients. Methods: The necessity of medical space with seclusion function was analyzed from spatial, medical, and social perspectives. The needs for a space capable of performing three medical functions: protection, isolation, and treatment, was analyzed. Among various types of mobile medical facilities, seclusion space was considered suitable for utilizing modular construction methods, as it is the most rational method that can satisfy the environmental level of fixed healthcare facilities' space. Therefore, seclusion modules based on modular construction were planned, consisting of two protective units for stabilizing patients with psychiatric illness, one for treatment unit that can accommodate both internal and external treatment, and another one for an infectious disease isolation unit equipped with negative pressure equipment. Implications: This study analyzed the necessary medical functions of the interior space of the mobile stabilization module based on the spatial analysis of existing medical facilities, and proposed alternative spatial configurations according to treatment, seclusion, isolation functions.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.2
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• pp.40-52
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• 2011

In this study, $CO_2$ emission quantities by spatial characteristics using GIS were investigated for building a $CO_2$ emission inventory. Eventually, this study provides the guidelines to build the urban spatial structure for reducing greenhouse gas and contributes to the transition to environmental friendly green city. The attribute data for GIS were energy (electricity and gas) usage in the city of Daegu for 2009 and used for Tier 1 as suggested by the IPCC guideline to estimate amount of $CO_2$ emission. The spatial data were built based on land use types categorized by building purposes with connecting building registers to cadastral maps for Daegu city. Spatial $CO_2$ emission quantities could be calculated by combining $CO_2$ emission inventory for energy and GIS. Also, $CO_2$ emission characteristics were different by land use types.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.171-181
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• 2022

The real estate price index plays key roles as quantitative data in real estate market analysis. International organizations including OECD publish the real estate price indexes by country, and the Korea Real Estate Board announces metropolitan-level and municipal-level indexes. However, when the index is set on the smaller spatial unit level than metropolitan and municipal-level, problems occur: missing values. As the spatial scope is narrowed down, there are cases where there are few or no transactions depending on the unit period, which lead index calculation difficult or even impossible. This study suggests a supervised learning-based machine learning model to compensate for missing values that may occur due to no transaction in a specific range and period. The models proposed in our research verify the accuracy of predicting the existing values and missing values.

• Korean Institute of Interior Design Journal
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• v.23 no.6
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• pp.150-159
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• 2014

Recently, violent crimes against the socially disadvantaged have become more frequent and became serious social issues. In addition, compared to the past, the crime methods have become more diverse and intricate, which results in larger damages. For those reasons, the public are increasingly concerned about crimes and it is detrimental to the quality of life in general. Currently, safety in alleys and other residential spaces is protected only by mechanical and managerial functions such as CCTV and police patrol. Safe environment from crimes can be achieved only if there are environmental and spatial plans such as CPTED (Crime Prevention through Environmental Design) principles. The purpose of this study is to propose a direction for spatial planning that can prevent crimes through environmental elements, by researching the spatial planning and current status of alleys and residential spaces from the viewpoint of CPTED. To do so, first, a review checklist was created based on five principles of CPTED and field surveys were conducted on the northern districts of Busan with high crime rates. Second, the problems were analyzed through the field surveys and checklist was classified based on five principles of CPTED to propose improvements for each item. Also, a computer graphic simulation was used to suggest a design proposal. We expect that the application of the basic environmental design principles and guidelines for CPTED will have the effect of creating crime-free and safe spaces in alleys and residential environment.

• Journal of Korean Society of Rural Planning
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• v.9 no.3 s.20
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• pp.35-39
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• 2003

In this study, the longevity index was suggested for researches about social and environmental effects to human immorality and criteria for defining longevity area were developed using statistical analysis. Candidates indexes based on researches about the tend of human death ratio were investigated. As a result statistical analysis, ratio of population over 85 yearn old and over 65 years was selected as a longevity index. Statistical analysis on the longevity distribution at each district showed that 'eup' and 'myun' are appropriate spatial unit to study social and geographical characteristics of longevity. The spatial analysis using the $ArcView^{TM}$ with the suggested index shows the time dependent variances of degree of immorality and spatial relationship between degree of immorality and human migration.

• Journal of Environmental Science International
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• v.6 no.3
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• pp.195-203
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• 1997

Pusan has experienced some different paths of urbanization and industrialization compared to other cities. and has faced the problem of over-saturation In enoronmental capacity. Pusan needs to fond out sustainable development strategies based on Agenda 21 by UNCED In 1992 to secure urban renewal. Therefore. Pusan's sustainable development strategies focus on the 1)research on envlronmental capacity and reasonable population accommodation 2)supp1y of basic enoronmental facilities for the human settlement 3)protection and efficient management of environmental pollution 4)saving and control of energy and other resources S)independent and stable euecution of plan based on biological relation 6)harmony between nature and urban spatial organization. In addition. these policies can be suggested along with the conclusions; First, ostablishment of green plan-muddle and long term environmental goals Included In the urban planning to reduce enoronmental deterioration and pollution. Second, computation of sustalnability Indeu the Index Is necessary to sustainable urban development, which is related with green GNP of the national level. Third, capacity estimation of nature and social environment-estimation of enoronmental capacity to the civilized area is required become an ecopolis, and is required to focus on the western area of Pusan which has high decree of potentiality.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.2
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• pp.73-84
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• 2008

This study has conducted the survey Daegu area on the evaluation of the wind generation by the spatial geograph conditions and according to the elements that practically affecting the generation of the wind. Because the elements affecting the wind generation are very diverse and interrelated, it is very important to secure accurate fundamental datas. For getting these datas, by applying satellite images to the study, more accurate datas were collected and the result of study is summarized as follows First of all, it has been acknowledged that due to the Daegu,s geographic features, there are a lot of areas with high wind generation, but most of these areas have been distributed in the outskirts of the city, where as in the areas wind generation is relatively very low in the urbanized areas, which indicate that the spatial unbalance is very high. And what is more of wind generation in certain areas where places spatially connected to the urbane district, show very low wind generations, and its influenced range become limited. From this fact, it can be estimated that the effects of the wind corridor coming into the urban district will be reduced. And also through this study, it could be verified that there are ample possibility of applying the satellite data as a means of building up the spatial data for evaluation of formation of the wind corridor.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1726-1748
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• 2024

Trajectory planning is vital for autonomous systems like robotics and UAVs, as it determines optimal, safe paths considering physical limitations, environmental factors, and agent interactions. Recent advancements in trajectory planning and future location prediction stem from rapid progress in machine learning and optimization algorithms. In this paper, we proposed a novel framework for Spatial-temporal transformer-based feed-forward neural networks (STTFFNs). From the traffic flow local area point of view, skip-gram model is trained on trajectory data to generate embeddings that capture the high-level features of different trajectories. These embeddings can then be used as input to a transformer-based trajectory planning model, which can generate trajectories for new objects based on the embeddings of similar trajectories in the training data. In the next step, distant regions, we embedded feedforward network is responsible for generating the distant trajectories by taking as input a set of features that represent the object's current state and historical data. One advantage of using feedforward networks for distant trajectory planning is their ability to capture long-term dependencies in the data. In the final step of forecasting for future locations, the encoder and decoder are crucial parts of the proposed technique. Spatial destinations are encoded utilizing location-based social networks(LBSN) based on visiting semantic locations. The model has been specially trained to forecast future locations using precise longitude and latitude values. Following rigorous testing on two real-world datasets, Porto and Manhattan, it was discovered that the model outperformed a prediction accuracy of 8.7% previous state-of-the-art methods.

• Korean Institute of Interior Design Journal
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• v.18 no.6
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• pp.158-165
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• 2009

Ever since the industrial revolution, large cities have become a field of new lifestyle and urbanization, causing climate change and environmental pollution. As a result, countermeasures for revolving these problems is needed. In addition, large cities in the information age have become a space where each nation executes its public policy to express the competitiveness of each city. In this study, countermeasures for the environmental crises caused by urbanization as well as the sustainable spatial designs for the cities are investigated as a new source of urban competitiveness, and the environmental aesthetics for designing public space is considered. The purpose of this study is to suggest a direction for sustainable designs and planning that is applicable to public space. According to the definition of sustainability, the items of the spatial implementation of ecological, economical and social sustainability are categorized. Based on this categorization, the sustainable designs of public space are classified into five types, and a comprehensive analysis of good public spaces from previous literature is conducted. The concepts of design and three elements--public space, sustainability, and their instrumental meanings, are integrated in this study. The significance of this study lies in the actual application of the classification to the planning and design of sustainable public space in cities, rather than being a conceptual classification.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1477-1482
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• 2023

This study examines marine heat wave (MHW) in the Northeast Asia region from 2012 to 2021, utilizing geostationary satellite Communication, Ocean, and Meteorological Satellite (COMS)/Meteorological Imager sensor (MI) and GEO-KOMPSAT-2A (GK-2A)/Advanced Meteorological Imager sensor (AMI) Sea Surface Temperature (SST) data. Our analysis has identified an increasing trend in the frequency and intensity of MHW events, especially post-2018, with the year 2020 marked by significantly prolonged and intense events. The statistical validation using Optimal Interpolation (OI) SST data and satellite SST data through T-test assessment confirmed a significant rise in sea surface temperatures, suggesting that these changes are a direct consequence of climate change, rather than random variations. The findings revealed in this study serve the necessity for ongoing monitoring and more granular analysis to inform long-term responses to climate change. As the region is characterized by complex topography and diverse climatic conditions, the insights provided by this research are critical for understanding the localized impacts of global climate dynamics.