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Markov Chain Properties of Sea Surface Temperature Anomalies at the Southeastern Coast of Korea (한국 남동연안 이상수온의 마르코프 연쇄 성질)

  • Kang, Yong-Q.;Gong, Yeong
    • 한국해양학회지
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    • v.22 no.2
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    • pp.57-62
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    • 1987
  • The Markov chain properties of the sea surface temperature (SST) anomalies, namely, the dependency of the monthly SST anomaly on that of the previous month, are studied based on the SST data for 28years(1957-1984) at 5 stations in the southeastern coast of Korea. Wi classified the monthly SST anomalies at each station into the low, the normal and the high state, and computed transition probabilities between SST anomalies of two successive months The standard deviation of SST anomalies at each station is used as a reference for the classification of SST anomalies into 3states. The transition probability of the normal state to remain in the same state is about 0.8. The transition probability of the high or the low states to remain in the same state is about one half. The SST anomalies have almost no probability to transit from the high (the low) state to the low (the high) state. Statistical tests show that the Markov chain properties of SST anomalies are stationary in tine and homogeneous in space. The multi-step Markov chain analysis shows that the 'memory' of the SST anomalies at the coastal stations remains about 3 months.

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The Study of the Economic Effects and the Policy Demands through the Strategic Servitization in the Era of Industry 4.0 (인더스트리 4.0 시대의 전략적 제조-서비스 융합을 통한 경제효과분석 및 정책수요시사)

  • Kim, Jonghyuk;Kim, Suk-Chul
    • International Area Studies Review
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    • v.20 no.2
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    • pp.25-46
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    • 2016
  • In order to newly expand and define the concept of "strategic servitization" based on Industry 4.0, this study tried to evaluate the existing status of domestic and foreign servitized manufacturing and investigated the servitization cases of some leading overseas companies. In addition, we chose 250 samples of manufacturing firms listed on KOSDAQ and collected a vast amount of data regarding servitized manufacturing, such as the current status about new businesses, profit model, and financial fluctuations of each company. Based on these data, we classified the main types of manufacturing-service convergence into a $2{\times}2$ framework and derived a new strategic servitization model for each type of signature. Furthermore, we divided the sample corporations into three groups, which are pure manufacturer, servitized firm, and strategic servitized firm, and through the mutual comparison of the real sales amounts and the estimated sales amounts by time-series extrapolation analysis, we statistically proved that the service sales of strategic servitized firms give positive impacts on ROA when compared with those of the other two groups. Finally, we selected 12 leading domestic strategic-servitized firms, interviewed them in depth, and not only organized the issues during this process and their solutions by categories but also suggested the policy demands for strategic servitization.

An Analysis of the Literature Sources of Sikuquanshuzongmoktiyao (『사고전서총목제요』 문헌 출처의 분석)

  • Han, Mikyung
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.2
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    • pp.295-312
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    • 2019
  • This study was conducted with a view to investigating and analyzing classification and types of literature sources of Sikuquanshuzongmutiyao and the results of this study are as follows. First, the literature sources of Sikuquanshuzongmutiyao were classified mainly into five types including national version, provincial version, individual version, public official version, and societal distribution version. Second, court and Emperor's version was classified as national version, while literatures collected from state and province were classified as provincial version. Third, each of individual version and public official version, which were not clearly differentiated from each other due to their being named private version, were distinctively and separately classified. They were classified into individual version if associated by province name and book owners' names and into public official version if associated by public post names and public official's name. Fourth, societal distribution version included distributed and purchased versions in the society of those days. Fifth, in terms of the number of literature listed in all descriptions of Sikuquanshu, provincial version, national version, individual version, public official version, and societal distribution version were more found in the descending order. Sixth, it was found out that causes are being a little more stressed in the description of reference names of Sikuquanshuzongmutiyao through 1) public post names on public official version, 2) company names on private version, and 3) names of societal distribution version instead of sales version.

A Study on the View Characteristics of the Pavilion around Gyeongpo Lake (경포호 누정의 조망특성에 관한 연구)

  • Han, Gab-Soo
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.39 no.4
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    • pp.66-76
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    • 2021
  • The purpose of this study was to analyze the transition process of Gyeongpo lake and to analyze the viewing characteristics of each period in the pavilion. The view characteristics at pavilion were analyzed by overlapping classification maps of landscape types by period with the view range map from pavilion. The circumference and area of Gyeongpo lake have been reduced to 15.2km and 3.9km2 in the 1750s, 9.0km and 1.7km2 in the 1933, and now 4.41km and 1.0km2. By period, the largest decrease in the proportion of Gyeongpo lake viewed from Pavilion was Hwanseonjeong, which decreased by 48.0% from the 1750 to 2017. Hwallaejeong, Haeunjeong, and Hohaejeong were found to be impossible to view Gyeongpo lake as some of the adjacent lakes were changed to agricultural land. Pavilion has great significance as a space for traditional culture created in the background of humanities and natural environments. For the succession and development of Pavilion culture, it is necessary to use it as a cultural resource, to continuously manage the building, and to partially restore Gyeongpo lake considering the function of each pavilion.

Site-Investigation of Underground Complex Plant Construction by Seismic Survey and Electrical Resistivity (탄성파 및 전기비저항을 활용한 지하복합 플랜트 건설 후보지 탐사)

  • Kim, Namsun;Lee, Jong-Sub;Kim, Ki-Seog;Kim, Sang Yeob;Park, Junghee
    • Journal of the Korean Geotechnical Society
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    • v.38 no.10
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    • pp.49-60
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    • 2022
  • Underground urbanization appears to be a promising solution in response to the shortage of construction sites in the above-ground space. In this context, an accurate evaluation of a construction site ensures the long-term performance of geosystems. This study characterizes potential sites for complex plants built in underground space using geophysical methods (i.e., seismic refraction exploration and electrical resistivity survey) and in situ tests (i.e., standard penetration tests (SPTs) and downhole tests). SPTs are conducted in nine boreholes BH-1-BH-9 to estimate the groundwater level and vertical distribution of geological structures. The seismic refraction method enables us to obtain the elastic wave velocity and thickness of each soil layer for each cross-sectional area. An electrical resistivity survey conducted using the dipole array method provides the electrical resistivity profiles of the cross-sectional area. Data obtained using geophysical techniques are used to assess the classification of the soil layer and bedrock, particularly the fracture zone. This study suggests that geotechnical information using in situ tests and geophysical methods are useful references to design an underground complex plant construction.

The PIC Bumper Beam Design Method with Machine Learning Technique (머신 러닝 기법을 이용한 PIC 범퍼 빔 설계 방법)

  • Ham, Seokwoo;Ji, Seungmin;Cheon, Seong S.
    • Composites Research
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    • v.35 no.5
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    • pp.317-321
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    • 2022
  • In this study, the PIC design method with machine learning that automatically assigning different stacking sequences according to loading types was applied bumper beam. The input value and labels of the training data for applying machine learning were defined as coordinates and loading types of reference elements that are part of the total elements, respectively. In order to compare the 2D and 3D implementation method, which are methods of representing coordinate value, training data were generated, and machine learning models were trained with each method. The 2D implementation method is divided FE model into each face and generating learning data and training machine learning models accordingly. The 3D implementation method is training one machine learning model by generating training data from the entire finite element model. The hyperparameter were tuned to optimal values through the Bayesian algorithm, and the k-NN classification method showed the highest prediction rate and AUC-ROC among the tuned models. The 3D implementation method revealed higher performance than the 2D implementation method. The loading type data predicted through the machine learning model were mapped to the finite element model and comparatively verified through FE analysis. It was found that 3D implementation PIC bumper beam was superior to 2D implementation and uni-stacking sequence composite bumper.

Application and development of a machine learning based model for identification of apartment building types - Analysis of apartment site characteristics based on main building shape - (머신러닝 기반 아파트 주동형상 자동 판별 모형 개발 및 적용 - 주동형상에 따른 아파트 개발 특성분석을 중심으로 -)

  • Sanguk HAN;Jungseok SEO;Sri Utami Purwaningati;Sri Utami Purwaningati;Jeongseob KIM
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.2
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    • pp.55-67
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    • 2023
  • This study aims to develop a model that can automatically identify the rooftop shape of apartment buildings using GIS and machine learning algorithms, and apply it to analyze the relationship between rooftop shape and characteristics of apartment complexes. A database of rooftop data for each building in an apartment complex was constructed using geospatial data, and individual buildings within each complex were classified into flat type, tower type, and mixed types using the random forest algorithm. In addition, the relationship between the proportion of rooftop shapes, development density, height, and other characteristics of apartment complexes was analyzed to propose the potential application of geospatial information in the real estate field. This study is expected to serve as a basic research on AI-based building type classification and to be utilized in various spatial and real estate analyses.

Classification Analysis on Private Security (민간경비에 대한 분류 분석)

  • Cho, Kwang-Rae
    • Korean Security Journal
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    • no.51
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    • pp.103-124
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    • 2017
  • The purpose of this study is to analyze regional clusters and discrimination on size and sector of private security in national 16 areas in 2015. The results of the study using hierarchical cluster analysis and discriminant analysis are as follows. First, we can classify national 16 areas into 3 clusters, such as Large Area(1), Medium Area(2), and Small Area(3) according to the size of private security. The discriminant functions D for each cluster is as follows: (1) Large Area(1) = -383.981 + (.108 ${\times}$ number of security companies) + (.016 ${\times}$ number of guards), (2) Medium Area(2) = -35.570 + (.029 ${\times}$ number of security companies) + (.005 ${\times}$ number of guards), and (3) Small Area(3) = -5.381 + (.012 ${\times}$ number of security companies) + (.002 ${\times}$ number of guards). Second, we can classify national 16 areas into 3 clusters, such as Large Area(1), Medium Area(2), and Small Area(3) according to the sector of private security. The discriminant function D for each cluster is as follows: (1) Large Area(1) = -2224.402 + (-.562 ${\times}$ facilities security) + (1.245 ${\times}$ protection security) + (171.142 ${\times}$ convoy security) + (-2.722 ${\times}$ electronic security) + (2.020 ${\times}$ special security), (2) Medium Area(2) = -4.762 + (.052 ${\times}$ facilities security) + (.063 ${\times}$ protection security) + (-3.819 ${\times}$ convoy security) + (.110 ${\times}$ electronic security) + (-.165 ${\times}$ special security), and (3) Small Area(3) = -125.742 + (-.009 ${\times}$ facilities security) + (.432 ${\times}$ protection security) + (5.748 ${\times}$ convoy security) + (5.530 ${\times}$ electronic security) + (-.901 ${\times}$ special security).

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Habitat Classification and Distribution Characteristic of Aquatic Insect Functional Feeding Groups in the Geum River, Korea (금강 수계 서식지 유형분류 및 수서곤충 섭식기능군 분포특성)

  • Park, Young-Jun;Kim, Ki-Dong;Cho, Young-Ho;Han, Yong-Gu;Kim, Yeong-Jin;Nam, Sang-Ho
    • Korean Journal of Environment and Ecology
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    • v.25 no.5
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    • pp.691-709
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    • 2011
  • This study was performed to classify habitat types depending on environmental factors and to find out distribution characteristics of functional feeding groups of aquatic insects which were collected at that habitat types. Field survey was conducted twice in a year for every spring and fall from 2007 to 2008 for 38 sites in the Geum River. During the field survey 15 environmental factors were measured at each 38 sites and analyzed by similarity analysis method to classify habitat types. The result of similarity analysis showed that the 38 sites could be grouped into 7 classes like as C1 and C3 class belong to Head water(HD), C2 and C4 and C5 class belong to Middle stream(MS), C6 and C7 class belong to Large River(LR) based on euclidean distances 4. And also, we could extract the main environmental factors affecting the classification of habitat types such as Stream Width and Elevation of physical environmental factors, Water Temperature, Conductivity and DO of chemical environmental factors, percentages of Sand, Silt and Gravel of substrate factors. Total 142 species of aquatic insects in 46 families, 9 orders were collected during the field surveys and the occurrence number of species and individuals showed high correlation with the Velocity factor and the percentage of Sand factor of each habitat types. In addition, correlation analysis between functional feeding groups and environmental factors represented that (1) Filtering-collectors(FC) affected by Velocity, Stream Width and Silt, (2) Gathering-collector(GC) affected by Velocity, (3) Predator(P) affected by Elevation, Velocity, Boulder, Conductivity and Sand, (4) Plant-piecer(PP) affected by Water Width and Silt, (5) Scraper(SC) affected by Elevation and Conductivity, (6) Shredder(SH) affected by Elevation, Boulder, DO, pH, Conductivity and Water Temperature respectively. As a result of this study, Elevation, Stream Width, Velocity, Conductivity, Water Temperature and percentage of Sand factors which were deduced by stepwise multiple regression analysis had correlations($r{\geqq}0.600$, p<0.01) with biota community inhabitation. Therefore these six environmental factors were regarded as major environmental factors that might affect highly the distribution of functional feeding groups in stream ecosystem of the Geum River.

Classification of the Core Climatic Region Established by the Entropy of Climate Elements - Focused on the Middle Part Region - (기후요소의 엔트로피에 의한 핵심 기후지역의 구분 - 중부지방을 중심으로 -)

  • Park, Hyun-Wook;Chung, Sung-Suk;Park, Keon-Yeong
    • Journal of the Korean earth science society
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    • v.27 no.2
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    • pp.159-176
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    • 2006
  • Geographic factors and mathmatical location of the Korean Peninsula have great influences on the variation patterns and appearances over a period of ten days of summer precipitation. In order to clarify the influence of several climate factors on precise climate classification in the middle part region of the Korea, weather entropy and the information ratio were calculated on the basis of information theory and of the data of 25 site observations. The data used for this study are the daily precipitation phenomenon over a period of ten days of summer during the recent thirteen years (1991-2003) at the 25 stations in the middle part region of the Korea. It is divided into four classes of no rain, $0.1{\sim}10.0mm/day,\;10.1{\sim}30.0mm/day$, 30.1mm over/day. Their temporal and spatial change were also analyzed. The results are as follows: the maximum and minimum value of calculated weather entropy are 1.870 bits at Chuncheon in the latter ten days of July and 0.960 bits at Ganghwa during mid September, respectively. And weather entropy in each observation sites tends to be larger in the beginning of August and smaller towards the end of September. The largest and smallest values of weather representative ness based on information ratio were observed at Chungju in the beginning of June and at Deagwallyeong towards the end of July. However, the largest values of weather representativeness came out during the middle or later part of September when 15 sites were adopted as the center of weather forecasting. The representative core region of weather forecasting and climate classification in the middle part region of the Korea are inside of the triangle region of the Buyeo, Incheon, and Gangneung.