• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.135-145
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• 2017

Principal component analysis (PCA) describes the variation of multivariate data in terms of a set of uncorrelated variables. Since each principal component is a linear combination of all variables and the loadings are typically non-zero, it is difficult to interpret the derived principal components. Sparse principal component analysis (SPCA) is a specialized technique using the elastic net penalty function to produce sparse loadings in principal component analysis. When data are structured by groups of variables, it is desirable to select variables in a grouped manner. In this paper, we propose a new PCA method to improve variable selection performance when variables are grouped, which not only selects important groups but also removes unimportant variables within identified groups. To incorporate group information into model fitting, we consider a hierarchical lasso penalty instead of the elastic net penalty in SPCA. Real data analyses demonstrate the performance and usefulness of the proposed method.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.695-698
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• 2014

본 논문은 AHP의사결정 기법의 계층적 분석과 자산 및 부실채권에 대한 예측 평가르 수행하는 프레임워크를 설계하고 위험탐지 분석 시나리오 등을 통해 상황변화에 따른 모니터링에서 수집된 자료를 수집, 분석할 수 있는 포렌식 준비도 모형을 제안한다. 제안하는 시스템은 기업에서 운영하고 있는 기존의 레거시 시스템과 연계하여 자산 및 부실예측평가 항목을 다양한 속성에 따라 그룹화하고 분석을 수행함으로써 기업의 자산과 리스크를 보다 효율적이고 안정적으로 관리할 수 있으며, 부실 자산에 대한 관리와 회수를 통해 기업 경쟁력 및 수익률을 향상시킬 수 있다. 또한 포렌식 준비도와 분석 모니터링을 활용하여 민사 및 형사 소송 등의 기업 간 분쟁에 대하여 수집된 증거자료를 제공할 수 있으며, 민원발생과 기타 사고를 예방하고 처리비용을 줄일 수 있다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.1012-1019
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• 2005

본 연구는 우편물류에 대해 RFID 도입시의 다양한 시나리오별 프로세스 영향과 경제성을 평가하여 RFID의 단계적 도입 전략을 제시하는 것을 목적으로 한다. RFID 도입 업무, 도입 대상 객체, 대상서비스, 도입 대상 사이트 범위 및 주파수 대역을 고려하여 총 112가지의 도입 시나리오 대안을 정의하였다. 각 대안별의 To-Be 프로세스 및 도입 장비의 분석을 위해, 우편물의 접수에서 배달에 이르는 전체 프로세스를 계층적으로 모형화하고, 서브프로세스를 모듈화 하였으며, 도입 시나리오와 서브프로세스 모듈간의 매핑관계를 정의함으로써, 임의의 도입 시나리오에 대한 To-Be 프로세스 및 장비를 분석할 수 있도록 하였다. 마지막으로, 프로세스 및 장비의 비용요소를 산정하여 각각의 도입 시나리오에 대한 경제성분석을 수행하였으며, 이를 토대로 단계별 RFID 도입 전략을 도출하였다.

• Journal of Energy Engineering
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• v.11 no.4
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• pp.359-369
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• 2002

Nuclear power plant is a huge system with multidisciplinary technology. So, R & D prioritization is a not a simple task and the relative importance of each prioritization criterion is not well established. This study built a technology classification chart for nuclear power plant operation and maintenace, established the relative importance of prioritization criteria and assigned the relative importance of each technology at each level. Analytical Hierarchy Process was used for the prioritization and the result was validated with Consistency Index and outcomes of fields interview.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.1
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• pp.3-11
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• 2011

This paper aims to develop a web based GIS system which is able to evaluate and visualize the overall degree (in terms of pleasantness and aesthetics) of pedestrian friendliness of the environment, as well as pedestrians' convenience through a Walkability Indicators that simplify pedestrian environment elements into a quantitative index in accordance with characteristics of pedestrian space. To make this goal come true, we developed and applied Walkability index which can measure the pedestrian environment through reflecting quantitative Indicators based on GIS supplementing the limit of Literature Review. In addition, in order to develop index we utilized AHP(Analytic Hierarchy Process) and we displayed measurement result on study area through web GIS Services. The proposed pedestrian measurement system is expected to be applicable in the visualization of pedestrian movements and the evaluation of convenience levels of pedestrian environment.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.285-294
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• 2021

This study analyzes the factors that determine the attitude toward the electronic wristband(smartband) to check the position of self-quarantine subjects due to COVID-19. Furthermore, I analyze the interaction of class and age among the factors that determine attitudes toward the electronic wristband. In this study, the attitude toward self-quarantine electronic wristband is analyzed as a binary logit model, focusing on class and age. As a result of the analysis, the middle class significantly agreed with the self-quarantine electronic wristband compared to the lower class, and the older the person, the more in favor. On the other hand, the interaction between the class and the age shows that the age weakens the positive effect on the attitude of the self-quarantine electronic wristband in the middle and upper middle classes. The implication of this study is that it is necessary to push for mandatory electronic wristband in areas with high proportion of high-aged people with positive attitude toward self-quarantine electronic wristband and in the same age group, the approval rate is low, so it is necessary to promote mandatory electronic wristband in areas where the vulnerable class is dense.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.95-102
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• 2013

The paradigm of SW industry has been rapidly changing into mobile and cloud technology environment. Research model based on PEST-SWOT analysis was employed to derive internal and external factors connected with PEST factors through analyzing the current status and problems of SW HRD system in Korea. Survey was conducted by 20 experts who are involved in SW companies, university, and R&D research institute using AHP(Analytic Hierarchy Process) model. The empirical result showed that SW fusion HRD, creativity-oriented university education in the field of software, global education and exchange, and revitalization of SW venture ecosystem are derived as policy visions of SW HRD for smart industry ecosystem. Another findings are that SW fusion HRD, revitalization of SW venture ecosystem, Job Creation through revitalization of SW start-up, Creation of coexistence between SW large enterprises and SMEs, creativity-oriented university education in the field of software, and global education and exchange are presented in order in terms of the importance of policy priority.

• Journal of Korean Society of Transportation
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• v.23 no.7 s.85
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• pp.165-179
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• 2005

The object of this study is a development of a stochastic user equilibrium transit assignment algorithm for multiple user classes considering stochastic characteristics and heterogeneous attributes of passengers. The existing transit assignment algorithms have limits to attain realistic results because they assume a characteristic of passengers to be equal. Although one group with transit information and the other group without it have different trip patterns, the past studies could not explain the differences. For overcoming the problems, we use following methods. First, we apply a stochastic transit assignment model to obtain the difference of the perceived travel cost between passengers and apply a multiple user class assignment model to obtain the heterogeneous qualify of groups to get realistic results. Second, we assume that person trips have influence on the travel cost function in the development of model. Third, we use a C-logit model for solving IIA(independence of irrelevant alternatives) problems. According to repetition assigned trips and equivalent path cost have difference by each group and each path. The result comes close to stochastic user equilibrium and converging speed is very fast. The algorithm of this study is expected to make good use of evaluation tools in the transit policies by applying heterogeneous attributes and OD data.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.257-257
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• 2016

현재 전 세계적으로 이상기후로 인해 자연재해가 증가하고 있으며, 우리나라 또한 집중호우, 태풍, 홍수 등의 자연재해로 인해 경제적 손실뿐만 아니라 인명피해도 증가하는 추세이다. 2014년도에만 약 2천억원의 재산피해가 발생 하였고, 5천억원 이상이 피해를 복구하는데 사용되었으며, 피해금액과 복구금액은 지속적으로 증가하고 있다. 최근 발생한 토사재해의 경우에는 인구가 밀집한 도심지에서 발생하여 매우 단기간에 치명적인 피해를 야기 시키고, 사회적 관심을 크게 일으키기도 했다. 이처럼 자연재해가 인구가 밀집되어있고, 사회적재화가 많은 도심에서 발생할 경우 그 피해규모는 더욱 커질 수 있으므로 이에 대한 적절한 대응방안이 마련되어야 한다. 본 연구에서는 대구지역에 대한 토사재해를 물리적 취약성과 사회적 취약성으로 구분하여 평가하고 이를 종합하여 평가하였다. 물리적 취약성은 Flow-R 모형을 사용하여 토사재해의 발생 가능성 및 정도를 평가하고, 발생지역의 건물 구분에 따라 그 취약성의 정도를 달리하였다. 사회적 취약성의 경우는 대구지역의 집계구 단위를 기준으로 하여, 다양한 사회적 지표에 계층분석법(Analytic Hierarchy Process, AHP)을 적용하여 지표에 대한 가중치를 산정하였다. 이후 물리적 취약성과 사회적 취약성의 값을 0에서 1사이로 정규화 시키고 정규화된 값을 다시 곱하여 0에서 1사이로 정규화 하여 취약성 정도로 나타내었다. 본 연구결과는 대구지역에 대한 토사재해의 취약성을 평가함으로써 대구 도심지에서 발생할 수 있는 토사재해 위험구역을 선정하고 방재시설을 준비하는데 있어서 기초자료로 활용될 수 있을 것으로 판단된다.

• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.39-51
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• 2012

Cluster analysis has proven to be a useful tool for investigating the association structure among genes and samples in a microarray data set. We applied several cluster validation measures to evaluate the performance of clustering algorithms for analyzing microarray gene expression data, including hierarchical clustering, K-means, PAM, SOM and model-based clustering. The available validation measures fall into the three general categories of internal, stability and biological. The performance of clustering algorithms is evaluated using simulated and SRBCT microarray data. Our results from simulated data show that nearly every methods have good results with same result as the number of classes in the original data. For the SRBCT data the best choice for the number of clusters is less clear than the simulated data. It appeared that PAM, SOM, model-based method showed similar results to simulated data under Silhouette with of internal measure as well as PAM and model-based method under biological measure, while model-based clustering has the best value of stability measure.