• 한국환경과학회지
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• 제18권11호
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• pp.1189-1197
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• 2009

The purpose of this research was develop tailored landslide hazard assessment table (LHAT) in Gyeongsangbuk-do Province and propose building strategies on environmental information system to estimate landslide hazard area according to LHAT. To accomplish this purpose, this research investigated factors occurring landslide at 172 landslide occurred sites in 23 city and county of Gyeongsangbuk-do Province and analyzed what factors effected landslide occurrence quantity using the multiple statistics of quantification method(I). The results of analysis, factors affecting landslide occurrence quantity were shown in order of slope position, slope length, bedrock, aspect, forest age, slope form and slope. And results of the development of LHAT for predict mapping of landslide-susceptible area in Gyeongsangbuk-do Province, total score range was divided that 107 under is stable area(IV class), 107~176 is area with little susceptibility to landslide(III class), 177~246 is area with moderate susceptibility to landslide(II class), above 247 area with severe susceptibility to landslide(I class). According to LHAT, this research built landslide attribute database and made 7 digital theme maps at mountainous area located in Goryeong Gun, Seongju-Gun, and Kimcheon-City. The results of prediction on degree of landslide hazard using environmental information system, area with little susceptibility to landslide(III class) occupied 65.56% and severe susceptibility to landslide(I class) occupied 0.51%.

• Spatial Information Research
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• 제7권1호
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• pp.133-146
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• 1999

댐건설에 따른 환경영향을 파악하기 위해서는 방대한 환경요인자료의 수집과 관리 그리고 과학적인 분석이 수반되어야 한다. 그러나 지금까지의 환경영향평가 과정에서는 평가대상지역의 광활함과 분석자료의 방대함으로 인해, 자료의 수집은 물론 자료관리에 애로가 있었고 수집된 자료를 효율적으로 분석할 수 있는 분석방법이 미약하여 댐건설에 따른 환경영향을 체계적으로 평가하는데 여러 가지 어려움을 겪고 있는 상황이다. 이에 본 연구에서는 지리정보체계(GIS)를 이용하여 환경영향평가 시에 필요한 환경요인자료들을 체계적으로 관리하고 댐건설 전후의 지역환경변화를 파악하고자 한다. 이를 위해 본 연구에서는 환경영항평가에 이용되는 환경요인 관련자료들을 환경정보관리 데이터베이스로 구축하였고, GIS의 분석기능을 활용하여 환경영향 분석의 고도화를 도모하였다. 연구 결과 댐건설로 인한 수물지역의 환경영향평가에 GIS 적용함으로써 환경영향평가 관련자료의 체계적인 관리가 이루어 졌고 환경영향 분석업무의 효율성을 증진시킬 수 있었으며 동시에 이해하기 쉬운 분석결과를 제시하여 정책결정자 및 주민들의 이해를 향상시킬 수 있어, 환경정보시스템의 개발을 통한 효율적인 환경 영향평가의 방법론을 제시하였다.

• Structural Engineering and Mechanics
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• 제57권4호
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• pp.657-680
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• 2016

Reinforced concrete (RC) deep beams are structural members that predominantly fail in shear. Therefore, determining the shear strength of these types of beams is very important. The strut-and-tie method is commonly used to design deep beams, and this method has been adopted in many building codes (ACI318-14, Eurocode 2-2004, CSA A23.3-2004). In this study, the efficiency of artificial neural networks (ANNs) in predicting the shear strength of RC deep beams is investigated as a different approach to the strut-and-tie method. An ANN model was developed using experimental data for 214 normal and high-strength concrete deep beams from an existing literature database. Seven different input parameters affecting the shear strength of the RC deep beams were selected to create the ANN structure. Each parameter was arranged as an input vector and a corresponding output vector that includes the shear strength of the RC deep beam. The ANN model was trained and tested using a multi-layered back-propagation method. The most convenient ANN algorithm was determined as trainGDX. Additionally, the results in the existing literature and the accuracy of the strut-and-tie model in ACI318-14 in predicting the shear strength of the RC deep beams were investigated using the same test data. The study shows that the ANN model provides acceptable predictions of the ultimate shear strength of RC deep beams (maximum $R^2{\approx}0.97$). Additionally, the ANN model is shown to provide more accurate predictions of the shear capacity than all the other computed methods in this study. The ACI318-14-STM method was very conservative, as expected. Moreover, the study shows that the proposed ANN model predicts the shear strengths of RC deep beams better than does the strut-and-tie model approaches.

• 한국전자거래학회지
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• 제25권1호
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• pp.177-202
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• 2020

본 연구는 세계 무기 수출 시장의 구조적인 변화 요인을 식별하기 위한 통계적 모형을 설계하고 실증 분석 결과와 경제적 함의를 제시하고자 한다. 무기 수출의 변화 양상을 설명할 수 있는 변인은 무엇인가, 그러한 변화는 통계적으로 유의한가, 변화의 특성은 어떻게 해석될 수 있는지를 중심으로 연구 질문을 삼고 분석의 틀을 설계하였다. 실증 분석을 위해 SIPRI 데이터베이스에 수록된 무기 수출 상위 40개 국가의 거래량을 분석 대상으로 삼았다. 그리고 연구 모형을 설정하기 위한 가설을 제시하고 가설로부터 도출된 변수들의 조합에 따라 여러 회귀 모형을 구성하여 통계적 유의성을 검증하였다. 분석 결과에서 국가 보유고 변수는 무기 수출 시장의 변화와 지속적인 관계를 맺고 있는 변수로서 특징적인 의미를 보여주고 있으며, UN 안보리 상임이사국 그룹은 세계 무기 수출에 집단적인 지배력을 발휘하고 있는 것으로 나타났다. 이와 함께 2000년대를 전후로 하여 나타난 변화의 주요 동인은 국내 총생산과 국가 순 수출액과 관련이 있는 것으로 파악되었다. 전반적으로 이런 요인들이 세계 무기 수출의 흐름과 방향을 좌우해왔던 것으로 평가되며 향후에도 무기 수출 시장의 구조에 영향을 주는 변수가 될 것으로 전망된다.

• International journal of advanced smart convergence
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• 제5권3호
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• pp.66-71
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• 2016

Smart building gate security control system using smartphone integrated with near field communication (NFC) has become part of daily life usage these days. The technology change in replacing RF NFC device using visible light communication technology based approach growing faster in recent days. This paper propose a design and development of gate security control system using color code based user authentication ID generation as part of an intelligent access control system to control automatic door open and close. In this approach gate security access control use the recent visible light communication technology trends to transfer the user specific authentication code to door access control system using color code on smartphone screen. Using a camera in the door access control system (ACS), color codes on smartphone screens are detected and matched to the database of authenticated user to open the door automatically in gate security system. We measure the visual light communication technology efficiency as a part of the research and the experiments have revealed that more than 95% users authenticated correctly at the suggested experiment environment on gate security control system.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 1999년도 추계학술대회 발표요약문
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• pp.47-51
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• 1999

Geo-features play a key role in object-oriented or feature-based geo-processing system. So the strategy for how-to-model and how-to-manage the geo-features builds the main architecture of the entire system and also supports the efficiency and functionality of the system. Unlike the conventional 2D geo-processing system, geo-features in 3D GIS have lots to be considered to model regarding the efficient manipulation and analysis and visualization. When the system is running on the Web, it should also be considered that how to leverage the level of detail and the level of automation of modeling in addition to the support for client side data interoperability. We built a set of 3D geo-features, and each geo-feature contains a set of aspatial data and 3D geo-primitives. The 3D geo-primitives contain the fundamental modeling data such as the height of building and the burial depth of gas pipeline. We separated the additional modeling data on the geometry and appearance of the model from the fundamental modeling data to make the table in database more concise and to allow the users more freedom to represent the geo-object. To get the users to build and exchange their own data, we devised a fie format called VGFF 2.0 which stands for Virtual GIS File Format. It is to describe the three dimensional geo-information in XML(extensible Markup Language). The DTD(Document Type Definition) of VGFF 2.0 is parsed using the DOM(Document Object Model). We also developed the authoring tools for users can make their own 3D geo-features and model and save the data to VGFF 2.0 format. We are now expecting the VGFF 2.0 evolve to the 3D version of SVG(Scalable Vector Graphics) especially for 3D GIS on the Web.

• 한국도로학회논문집
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• 제19권5호
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• pp.117-129
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• 2017

PURPOSES : The purpose of this study is to analyze the performance life of hot central plant recycling (HCPR) and hot in-place recycling (HIR) pavements applied to the National Highway for the past 20 years and compare it with conventional hot-mix asphalt (HMA) pavement. METHODS : In order to analyze the performance life of recycling asphalt pavements, a comprehensive literature review was conducted to investigate the government law and official system for the use of recycling asphalt pavement in Korea and foreign countries. Next, the application information of using a hot central plant recycling and hot in-place recycling pavements in the national highway is collected from the database of pavement management system (PMS) and then their field condition is visually surveyed. Finally, the performance life of recycling asphalt pavements in the national highway is analyzed and compared with conventional hot-mix asphalt pavement. RESULTS :Institutions are encouraging the promotion of using recycled asphalt pavement through various legal systems in Korea as well as abroad. Based on analysis results for the average performance life of hot central plant recycling pavement applied to the national highway, the average performance life is estimated to be 10.2 years. However, the average performance life of in-place recycling pavement is estimated to be 6.5 years. However, it is expected to increase performance life after the HIR construction system is modified. CONCLUSIONS : Based on the limited data analysis of the performance life of recycled asphalt pavements, HCPR shows similar performance life to conventional asphalt pavement but HIR shows shorter performance life than conventional asphalt pavement. However, it is noted that all performance life data is very limited and it should be monitored and analyzed further.

• 응용통계연구
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• 제21권4호
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• pp.639-647
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• 2008

본 연구는 국민건강보험공단의 건강검진데이터, 자격 및 보험료 그리고 진료비 데이터를 활용하여 고혈압 관리를 위한 맞춤형 고혈압 사후관리모형(고혈압 진료예측모형 및 고혈압 진료순응도세분화모형)을 개발하고자 하였다. 모형 개발에는 데이터마이닝의 로지스틱 회귀모형, 의사결정나무 그리고 앙상블 모형을 활용하였다. 고혈압 진료예측모형에서는 3가지 모형 중 로지스틱 회귀모형이 가장 우수한 모형으로 채택되었으며, 고혈압 진료순응도세분화모형은 의사결정나무모형을 통해 개발되었다. 본 연구는 전국 규모의 수년간 축적된 자료를 데이터마이닝을 활용함으로써 고혈압의 진료 및 진료순응도에 이르는 고혈압 사후관리 프로세스 전반에 걸친 결과를 도출함으로써 우리나라 고혈압 사후관리체계 구축에 기여할 것으로 사료된다.

• Structural Engineering and Mechanics
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• 제61권4호
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• pp.527-538
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• 2017

The evaluation of the loss-of-support conditions of frictional beam-to-column connections using simplified numerical models describing the transverse response of a portal-like structure is presented in this paper considering the effects of the seismic-hazard disaggregation. Real earthquake time histories selected from European Strong-motion Database (ESD) are used to show the effects of the seismic-hazard disaggregation on the beam loss-of-support conditions. Seismic events are classified according to different values of magnitudes, epicentral distances and soil conditions (stiff or soft soil) highlighting the importance of considering the characteristics of the seismic input in the assessment of the loss-of-support conditions of frictional beam-to-column connections. A rigid and an elastic model of a frame of a precast industrial building (2-DoF portal-like model) are presented and adopted to find the minimum required friction coefficient to avoid sliding. Then, the mean value of the minimum required friction coefficient with an epicentral distance bin of 10 km is calculated and fitted with a linear function depending on the logarithm of the epicentral distance. A complete parametric analysis varying the horizontal and vertical period of vibration of the structure is performed. Results show that the loss-of-support condition is strongly influenced by magnitude, epicentral distance and soil conditions determining the frequency content of the earthquake time histories and the correlation between the maxima of the horizontal and vertical components. Moreover, as expected, dynamic characteristics of the structure have also a strong influence. Finally, the effect of the column nonlinear behavior (i.e. formation of plastic hinges at the base) is analyzed showing that the connection and the column are a series system where the maximum force is limited by the element having the minimum strength. Two different longitudinal reinforcement ratios are analyzed demonstrating that the column strength variation changes the system response.

• Asian Pacific Journal of Cancer Prevention
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• 제15권2호
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• pp.663-669
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• 2014

Background: With recent progress in health science administration, a huge amount of data has been collected from thousands of subjects. Statistical and computational techniques are very necessary to understand such data and to make valid scientific conclusions. The purpose of this paper was to develop a statistical probability model and to predict future survival times for male breast cancer patients who were diagnosed in the USA during 1973-2009. Materials and Methods: A random sample of 500 male patients was selected from the Surveillance Epidemiology and End Results (SEER) database. The survival times for the male patients were used to derive the statistical probability model. To measure the goodness of fit tests, the model building criterions: Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were employed. A novel Bayesian method was used to derive the posterior density function for the parameters and the predictive inference for future survival times from the exponentiated Weibull model, assuming that the observed breast cancer survival data follow such type of model. The Markov chain Monte Carlo method was used to determine the inference for the parameters. Results: The summary results of certain demographic and socio-economic variables are reported. It was found that the exponentiated Weibull model fits the male survival data. Statistical inferences of the posterior parameters are presented. Mean predictive survival times, 95% predictive intervals, predictive skewness and kurtosis were obtained. Conclusions: The findings will hopefully be useful in treatment planning, healthcare resource allocation, and may motivate future research on breast cancer related survival issues.