• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.10
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• pp.145-153
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• 2016

The purpose of the study is to draw competencies of faculty members at graduate school faculty to implements the NCS-based curriculum. A set of competency was deductively derived from a total of three professors and consultants with more than ten-year experiences and has been involved in developing the college curriculum. The political endeavors of the Korean government toward the competency-based education have been implemented as a movement to the NCS-based curriculum. The requirements for the reorganization of curriculum and education system as well as cooperation among faculty, industry, region and development part of NCS were suggested for the activation of NCS based education and the operation of NCS. However, one of the most critical factors in introducing and implementing the NCS-based curriculum is the role of faculty members. Therefore, it is an urgent issue to equip the faculties with required competencies. Result showed that the competencies required professors at graduate school for the NCS-based curriculum implementation were classified into four areas: marco-level curriculum development; micro-level course design; knowledge across areas; and attitude across areas.

• The Korean Journal of Archival Studies
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• no.13
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• pp.179-203
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• 2006

This study develops the process and method of official administration documents which have remained ill-balanced like the official documents of the government-general of Chosun(the pro-Japanese colonial government (1910-1945)). At first, the existing Appraisal-theories are recomposed. The Appraisal-Theories of Schellenberg is focused valuation about value of records itself, but fuction-Appraisal theory is attached importance to operational activities which take the record into action. But given that the record is a re-presentation of operational activities, the both are the same on the philosophy aspect. Therefore, in the case that the process - method is properly designed, it can be possible to use a composite type between operational activities and records. Also, a method of the Curve has its strong points in the macro and balanced aspect while the Absolute has it's strength in the micro aspect, so that chances are that both alternate methodologies are applied to the study. Hereby, the existing Appraisal theories are concluded to be the mutually-complemented things that can be easily put together into various forms according to the characteristics of an object and its situation, in the terms of the specific Appraisal methodology. Especially, in the case of this article dealing with the imbalance remains official-documents, it is necessary to compromise more properly process with a indicated useful method than establishing a method and process by choosing the only one theory. In order to appraise the official-documents of the pro-Japanese colonial government (1910-1945), a macro appraisal of value has to be appraised about them by understanding a system, functions and using the historical-cultural evolution, after analysing Disposal Authority. From this, map the record so that organization function maps are constructed regarding the value rank of functions and detailed-functions. After this, establish the appraisal strategy considering the internal environment of archival agencies and based on micro appraisal to a great quantity of records remained and supplying other meaning to a small quantity of records remained for example, the oral resources production are accomplished. The study has not yet reached the following aspects ; a function analysis, historical decoding techniques, a curve valuation of the record, the official gazette of the government general of Chosun( the pro-Japanese government for 1910-1945), an analysis method of the other historical materials and it's process, presentation of appraisal output image. As the result, that's just simply a proposal and we should fill in the above-mentioned shortages of the study through development of all the up-coming studies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.4
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• pp.11-23
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• 2011

The objective of this paper is to develop a daily pattern clustering algorithm using historical traffic data that can reliably detect under various traffic flow conditions in urban streets. The developed algorithm in this paper is categorized into two major parts, that is to say a macroscopic and a microscopic points of view. First of all, a macroscopic analysis process deduces a daily peak/non-peak hour and emphasis analysis time zones based on the speed time-series. A microscopic analysis process clusters a daily pattern compared with a similarity between individuals or between individual and group. The name of the developed algorithm in microscopic analysis process is called "Two-step speed clustering (TSC) algorithm". TSC algorithm improves the accuracy of a daily pattern clustering based on the time-series speed variation data. The experiments of the algorithm have been conducted with point detector data, installed at a Ansan city, and verified through comparison with a clustering techniques using SPSS. Our efforts in this study are expected to contribute to developing pattern-based information processing, operations management of daily recurrent congestion, improvement of daily signal optimization based on TOD plans.

• Journal of the Korean Geographical Society
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• v.48 no.5
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• pp.786-801
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• 2013

This study aims to elucidate features of the geography assessment of France in which geography has a high status in school curriculum. The main data for analysing are the geography examinations(1999-2013) of the Baccalaur$\acute{e}$at. In terms of objectives of the assessment, the exams put emphasis on promoting cultural knowledges of students and developing their competences in graphic languages. In terms of formal aspect, the exams take a simple layouts to raise a readability, use variable test tools, especially an essay and a 'croquis'. They also emphasize students self-directedly constructing and representing geography knowledges and their inquiry abilities with geography materials. In terms of contents aspect, the exams mainly cover subjects of political-economic geography, particularly a spatial organization, a development inequality and the world powers in global contexts or macro spatial scales. One of a distinguishing characteristics of Baccalaur$\acute{e}$at's History-Geography examinations is that it designs to keep balance between two parties; history and geography.

• Journal of the korean Society of Automotive Engineers
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• v.14 no.6
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• pp.1-8
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• 1992

본 고에서는 균질화법의 정식화를 이용하여 복합재료의 거시적 균질화된 재료상수를 구하고, 이 재료상수를 이용하여 거시구조물의 변형과 응력을 구하고, 이로부터 다시 미시구조의 응력분포와 변형도를 구하는 방법을 기술하였다. 주기성을 가정한 균질화법은 복합재료 구조물의 물성평가와 거동예측에 대한 매우 적절한 수치해석 방법이다. 균질화법은 이러한 선형변형의 문제뿐만 아니라, 내압을 존재하는 빈공간 소재의 물성, 기지재료와 강화재료 계면의 미끄러짐 등으로 인한 미세 파손현상 등의 예측이 가능하다. 그외에도 탄소성 대변형 거동 이론과 균질화법을 함께 적용하여, squeeze casting에서 발생하기 쉬운 계면분리나 파단 등의 미소결함과 같은 2차 성형성의 예측도 가능하다.

• Proceedings of the Korea Society for Simulation Conference
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• 2002.05a
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• pp.103-108
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• 2002

본 연구는 이산 사건 시스템 형식론(DEVS: Discrete Event System Specification)을 이용한 가상전장 모델링 및 시뮬레이션 방법론을 제안한다. 기존 군체계에 관련된 모델링 기술은 물리적 모델링, 비쥬얼 모델링, 또는 개념적 모델링 등 개별 기능중심의 단편적 플랫폼 모델링에 그치고 있으며, 무기체계 분석 시뮬레이션도 개별 단위체 중심으로 평가되어져서, 다양하고 종합적인 그리고 상호운영성과 재사용성 등을 고려한 통합 모델링 및 시뮬레이션 환경을 제공하지 못하는 단점을 갖는다. 따라서 본 논문에서는 개별 전투병력에서부터 첨단 무기체계에 이르는 다양한 전장 요소들을 계층 구조적으로 통합함으로써 장에서 발생될 수 있는 개별 전투병력의 미시적 행동 특성뿐 아니라 분대/중대/대대/사단급 단위의 거시적 전략/전술에 대한 묘사까지도 가능한 가상전장 모델링 및 시뮬레이션 환경을 제안한다. 제안된 방법론은 분대 단위의 가상 전장 환경에 대한 사례연구를 통해 검증하였으며, 향후 연구로는 대단위 가상전장에 대한 묘사를 위한 HLA 분산 시뮬레이션 기술의 적용에 대한 연구가 필요할 것이다.

• Proceedings of the Korea Society for Simulation Conference
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• 2002.05a
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• pp.53-59
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• 2002

본 연구는 이산 사건 시스템 형식론(DEVS: Discrete Event System Specification)을 이용한 가상전장 모델링 및 시뮬레이션 방법론을 제안한다. 기존 군체계에 관련된 모델링 기술은 물리적 모델링, 비쥬얼 모델링, 또는 개념적 모델링 등 개별 기능중심의 단편적 플랫폼 모델링에 그치고 있으며, 무기체계 분석 시뮬레이션도 개별 단위체 중심으로 평가되어져서, 다양하고 종합적인 그리고 상호운영성과 재사용성 등을 고려한 통합 모델링 및 시뮬레이션 환경을 제공하지 못하는 단점을 갖는다. 따라서 본 논문에서는 개별 전투병력에서부터 첨단 무기체계에 이르는 다양한 전장 요소들을 계층 구조적으로 통합함으로써 전장에서 발생될 수 있는 개별 전투병력의 미시적 행동 특성뿐 아니라 분대/중대/대대/사단급 단위의 거시적 전략/전술에 대한 묘사까지도 가능한 가상전장 모델링 및 시뮬레이션 환경을 제안한다. 제안된 방법론은 분대 단위의 가상전장 환경에 대한 사례연구를 통해 검증하였으며, 향후 연구로는 대단위 가상전장에 대한 묘사를 위한 HLA 분산 시뮬레이션 기술의 적용에 대한 연구가 필요할 것이다.

• Journal of Korean Society of Transportation
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• v.34 no.6
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• pp.548-559
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• 2016

Recent interests in both vehicle emissions and public health have facilitated the development of more eco-friendly transportation systems. This study proposed an integrated simulation approach for evaluating the effectiveness of speed management strategies from the various perspectives including safety, operational efficiency, and environmental compatability. Those simulation methods include driving simulation, traffic flow simulation, emissions simulation, and air dispersion simulation. An essence of the proposed simulation framework is to create the systematic connection of each simulation method toward the evaluation of effectiveness of speed management strategies. As an example, chicane and speed hump in residential area were evaluated by the proposed method. It is expected that the proposed simulation-based approach would be effectively used for the decision-making process in selecting better alternatives considering both safety and public health.

• Ecology and Resilient Infrastructure
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• v.7 no.3
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• pp.189-198
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• 2020

Wetlands, which provide various ecological services, have been regarded as an important nature-based solution for, for example, sustainable water quality improvement and buffering of impacts from climate change. Although the importance of conserving wetlands to reduce the impacts of various perturbations (e.g., changes of land use, climate, and hydrology) has been acknowledged, the possibility of applying these efforts as a nature-based solution in a macro-scale (e.g., landscape) has been insufficient. In this study, we examine the possibility of ecological network analysis that provides an engineering solution as a nature-based solution. Specifically, we analyzed how land use change affects the structural and functional characteristics (connectivity, network efficiency, and clustering coefficient) of the ecological networks by using the ecological networks generated by multiple dispersal models of the hypothetical inhabiting species in wetlandscape. Changes in ecological network characteristics were analyzed through simultaneously removing wetlands, with two initial conditions for surface area, in the zones where land use change occurs. We set a total number of four zones of land use change with different wetland densities. All analyses showed that mean degree and network efficiency were significantly reduced when wetlands in the zones with high wetland density were removed, and this phenomenon was intensified especially when zones contained hubs (nodes with high degree). On the other hand, we observed the clustering coefficient to increase. We suggest our approach for assessing the impacts of land use change on ecological networks, and with additional analysis on betweenness centrality, we expect it can provide a nature-based engineering solution for creating alternative wetlands.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.228-234
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• 2021

Real estate market participants need to have a sense of predicting real estate prices in decision-making. Commonly used methodologies, such as regression analysis, ARIMA, and VAR, have limitations in predicting the value of an asset, which fluctuates due to unknown variables. Therefore, to mitigate the limitations, an artificial neural was is used to predict the price trend of apartments in Seoul, the hottest real estate market in South Korea. For artificial neural network learning, the learning model is designed with 12 variables, which are divided into macro and micro factors. The study was conducted in three ways: (Ed note: What is the difference between case 1 and 2? Is case 1 micro factors?)CASE1 with macro factors, CASE2 with macro factors, and CASE3 with the combination of both factors. As a result, CASE1 and CASE2 show 87.5% predictive accuracy during the two-year experiment, and CASE3 shows 95.8%. This study defines various factors affecting apartment prices in macro and microscopic terms. The study also proposes an artificial network technique in predicting the price trend of apartments and analyzes its effectiveness. Therefore, it is expected that the recently developed learning technique can be applied to the real estate industry, enabling more efficient decision-making by market participants.