• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.554-556
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• 2022

Due to the recent surge in single-person households, solitary death is drawing attention as an important social problem. We herein develop an adaptive monitoring system using RFID to protect the socially disadvantaged who are exposed to the risk of solitary death. The developed system consists of a wearable RFID tag, an RFID reader attached to the residence, and a user monitoring App. The developed system measures the retention time of a user with a wearable tag in a place where a reader is attached. When the retention time exceeds an adaptively determined threshold, an emergency notification is sent to the caregiver. We verify the effectiveness of the designed system by implementing a prototype modeling a residence based on Arduino.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.230-233
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• 2023

우리 헌법은 인간의 존엄과 가치 그리고 행복을 추구할 권리를 보장하고 있으며, 편의증진법과 교통약자법을 통해 장애인등이 교통수단, 여객시설 및 도로 등을 비장애인들과 차별 없이 이용하여 이동하고, 도로와 대중교통수단, 공공 건축물과 주거 등 생활 필수시설에 자유롭게 접근하기 위한 접근권을 보장하고 있다. 우리나라는 이동권의 보장을 편의시설 제도라는 독자적인 체계를 통해 이루어지고 있으며, 이를 실질적으로 보장하기 위하여 장애물 없는 환경 인증 제도(BF 인증제도)를 도입하였다. 시행 15년을 맞은 BF 인증제도는 양적으로는 많은 발전을 가져왔지만, 질적으로 특정 건축물 등 일부에 대한 인증 편중 현상이 있으며 안전취약계층에 대한 재해 안전확보에 대한 고려가 포함되지 않아 부진정한 이동성과 접근성의 보장이라는 한계를 가지고 있다. 이동권 보장이 얼마나 잘 이루어지느냐는 그 나라의 사회 안전망이 얼마나 잘 갖추어져 있는지 판단하는 척도라 할 것이며, 따라서 이러한 이동권 보장은 위험상태에서의 안전한 피난을 함축하고 있으며 중첩적으로 국가의 기본권 보호 의무의 이행과 관련된다. 이에 따라 이동권과 접근권의 증진을 위한 BF 인증 규정을 안전 규범으로 보완하여 장애인과 비장애인이 사회의 일원으로서 평등한 인격적 주체로 공동체에 기여하는 안전한 사회적 환경의 조성이 긴절히 요청된다고 할 수 있다.

• Annual Conference of KIPS
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• 2008.05a
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• pp.987-990
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• 2008

센서 데이터들을 실제 IT 환경 하에서 데이터 처리하기 위해서 네트워크 인프라 환경으로 USN(Ubiquitous Sensor Network) 환경이 많이 연구되어지고 있다. 이들 환경은 온도, 소리, 진동, 습도등 생활 주변의 정보를 수집하여 이에 발생된 데이터들을 특정 시스템에서 처리하여 주변상황 상태등을 인식 및 관리를 하는데 목적을 둔다. 기존 USN 기술은 주로 네트워킹 관점의 연구가 활발히 수행되어지고 있다. USN은 미래 유비쿼터스 사회를 위한 기반 인프라로 국가적으로 기술 개발을 추진 중에 있으며 다양한 시범 서비스를 추진 중에 있다. 최근에는 환경, 에너지 등의 미래 신 성장 산업 분야에서 환경문제를 해결할 수 있는 기술 개발을 전략적으로 추진 중에 있다. 본 논문에서는 다양한 건축자재 및 생활 용품에서 배출되고 실내공간, 사무실, 주거지 등 일반 환경에서 보편적으로 존재하는 인체유해물질인 포름알데히드(HCHO) 오염농도를 수집 할 수 있는 센서네트워크 환경을 구축하고 수집된 HCHO 센서 데이터들을 이용하여 주변 사람들에게 위험정보를 제시하는 한 시스템으로 ET-IT 융합 시스템인 실시간 모니터링 시스템을 제시한다.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.114-125
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• 2019

Off-Site Construction (OSC) is a new construction method based on factory production. OSC (Off-Site Construction) is a new construction method based on factory production. Researches such as OSC-related design and production standardization, transport methods are actively conducted in the U.S., UK and other parts of the world as this new method has an edge over existing methods in terms of productivity, economy and quality. As the emergence of this new area requires reasonable management, an analysis of the scope of construction project management is required accordingly. Therefore, this research analyzed the study trends and relationships at the CM/PM range's "Operation level" to identify areas of study, relationship between studies and deficiencies in current research. This study carried out a comprehensive literature review of the OSC (CM/PM) research by analyzing 94 papers in Operation level as of September 3, 2018, and the analysis results are as follows. (1) Working stage level researches have been increasing rapidly since 2006. (2) Non-volumetric type is contributing most significantly at work stage level. In the building sector, it has been identified that problems such as residential: living, quality issues, non-residential: economic difficulties, factory: productivity problems have been addressed. (4) The Non-volumetric pre-assembly type dealt with the economic feasibility of residential and non-residential buildings, whereas the modular type was studied in regards to assembly quality. (5) From 2006, project management areas (e.g., quality, human resources, risks) have been expanded. It is expected that this research will help find new areas of research for OSC. If the analysis is carried out to the level of the industrial, corporate and project phases in the future, it is deemed that the overall research flow and area of the OSC industry can be identified.

• Journal of Satellite, Information and Communications
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• v.12 no.3
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• pp.41-49
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• 2017

This paper will describe lunar lava tubes' five analyzed fields, such as geology, geomorphology, internal configuration, stability, communication and habitats requirements. This research gets through qualitative and qualitative data analysis as following results. A huge size and configuration differences between lunar lava tubes and earth one on geology and landform environments. Exo-genetics activities, such as meteorites, radiation, and sudden temperature bigger affect than Endo-genetic activities, such as effusion and earthquake of the lunar lava tubes. Landform and internal configuration of the lunar lava tubes due to the huge cave perilous landform that gravity difference have a technical limitation from internal approach and data obtain of the huge skylights and sinuous rilles. Stability of the lunar lava tubes deals with geology and landform. It was obvious geo-structural stability elements results generated on low rate of collapsed halls(skylights), low gravity, and relatively thick covers. In terms of the communication capability on the external and internal lunar lava tubes cordless communication techniques will overcome limitations of the sun-power generates supporting communication systems. Through this research it realized obvious differs between potential habitats possibility by accumulative theories by scholars and techniques of the lunar lava tubes. Especially, it is a favorable expectation throughout overcoming attempt on zero gravity, cosmo radiation, lunar dust of the exo-genetic limitations to the steep escarpment of skylights to approach and achieve techniques by the civil engineering, networking and GIS techniques as the endo-genetic environment treatment.

• Korean Journal of Social Welfare Studies
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• v.40 no.2
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• pp.5-32
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• 2009

The purpose of this study is analyze the pattern and factors affecting the shelter exit and the patterns of homeless women in Korea. For this study, survey data were collected from 139 sheltered homeless women in Seoul in May of 2007. And respondent's exit time and exit pattern from the shelter were investigated through administration data of shelter in December of 2008. Life table analysis, Cox-proportional hazard analysis and competing risk survival analysis were employed in order to analyze data. The major findings were as follows. First, life table analysis shows that the exit ratio of homeless women started to fall sharply in 24 months from entry into shelter. Second, subjective health status, ratio of the homeless in social network and shelter entry with children affected the likelihood of shelter exit of homeless women. Third, age, subjective health status, depression and shelter entry with children affected the likelihood of positive exit. And ratio of the homeless in social network affected the likelihood of negative exit. Based on these findings, this study implied the introduction of case management service concerning individual shelter exit plan and policy for residential stability of homeless women.

• 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.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.131-143
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• 2010

This study has aimed to develop accident modification factor(AMF) for rural two-lane roadway segments. Accident Modification Factor is a coefficient to assess roadway safety as reflecting characteristics of homogeneous roadway. It estimates accident frequency of roadway segments with developed base model and exposure. We found on items of such factors as crosswalk, driveway density, topography characteristic, land use and median through statistical models and literature review. To develop accident modification factors, we used statistical model methods and analyses of applicability and expert judgement method were practiced to validate it. Although expert judgement for land use item was questionable, most items were rated acceptable. Result of comparative analysis revealed crash frequencies of IHSDM and KHSEM were most similar with actual. However, accident distribution of KHSEM was more proper than IHSDM. Also overall estimated values of RSDS were found to be overestimated.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.534-549
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• 2012

This study analyzed the effects of housing wealth on the balance accounts of elderly households with an age of over 60 facing the asset decumulation period, capitalizing upon an ordered logit model for the 2011 household finance survey data. Out of some variables representing personal and social characteristics, the age and waged worker variables had a positive effect, but the number of household, low education level, living in the apartment and capital region variables negatively affected the balance accounts of elderly households. Some variables reflecting economic wealth and financial strategies such as the attitude of risk-taking, ordinary income and the ratio of financial assets had a positive impact, but other variables such as DSR did a negative one on the balance accounts of the elderly households. The ownership of housing wealth variable positively, but the ratio of housing assets variable negatively affected the balance accounts of the elderly households, which could be derived from the duality of housing as both consumption goods and assets. However, the ownership of other real estates and the ratio of them in the total assets variables had a negative impact on the balance accounts of the elderly households. Furthermore, since the financial asset-debt ratio worsened the balance accounts of the elderly households with both housing and other real estates, it is implied that the purchase of real estates with excessive bank loans could make them dangerous.

• Journal of Environmental Impact Assessment
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• v.27 no.4
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• pp.335-344
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• 2018

As the damage caused by the abnormal climate due to climate change is increasing, the interest in resilience is increasing as a countermeasure to this. In this study, the resilience of Suwon city was examined and the plan to improve the resilience were derived against climate impacts such as drought, heatwave, and heavy rain. Urban resilience is divided into social resilience (e.g. vulnerable groups, access to health services, and training of human resources), economic resilience (e.g. housing stability, employment stability, income equality, and economic diversity), urban infrastructure resilience (e.g.residential vulnerability, capacity to accommodate victims, and sewage systems), and ecological resilience (e.g. protection resources, sustainability, and risk exposure). The study evaluated the urban resilience according to the selected indicators in local level. In this study, the planning elements to increase the resilience in the urban dimension were derived and suggested the applicability. To be a resilient city, the concept and value of resilience should be included in urban policy and planning. It is critical to monitor and evaluate the process made by the actions in order to continuously adjust the plans.