• Journal of Wetlands Research
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• v.7 no.2
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• pp.121-132
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• 2005

To classify the surface sedimentary facies using IKONOS image collected over Hwangdo tidal flat in Cheonsu Bay, the optical reflectance was compared for characterizing various sedimentary environments such as grain size, tidal channel pattern and area ratio of surface remnant water. The intertidal DEM (Digital Elevation Model) was generated by echo-sounder for analyzing the relationship between IKONOS image and sedimentary environments including topography. The boundary of the optical reflectance between mud-mixed facies and sand facies was distinct, and discrimination of the associated sandbar feature was also possible. The mud-mixed facies coupled with intricate tidal channels is confined to the relatively hi호 topography of Hwangdo tidal flat. The boundary between mud and mixed flat was indistinct in IKONOS optical reflectance but it would have a difference in the area ratio of surface remnant water. The dark area in the image represented the well developed sand facies having a lot of surface remnant water due to the relatively low surface topography. The overall accuracy of characterizing the surface sediment facies by maximum likelihood classification method was 86.2 %. These results demonstrate that high spatial resolution satellite imagery such as IKONOS coupled with knowledge of grain size, surface remnant water and tidal channel network can be effectively used to characterize the surface sedimentary facies (mud, mixed and sand) network of the tidal flat environments.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.4
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• pp.563-568
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• 2007

This paper presents a methodology for predicting nonlinear time series based on the neural network with weighted fuzzy membership functions (NEWFM). The degree of classification intensity is obtained by bounded sum of weighted fuzzy membership functions extracted by NEWFM, then weighted average defuzzification is used for predicting nonlinear time series. The experimental results demonstrate that NEWFM has the classification capability of 92.22% against the target class of GDP. The time series created by NEWFM model has a relatively close approximation to the GDP which is a typical business cycle indicator, and has been proved to be a useful indicator which has the turning point forecasting capability of average 12 months in the peak point and average 6 months in the trough point during 5th to 8th cyclical period. In addition, NEWFM measures the efficiency of the economic indexes by the feature selection and enables the users to forecast with reduced numbers of 7 among 10 leading indexes while improving the classification rate from 90% to 92.22%.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.546-550
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• 2017

하천의 수리 및 하도의 특성으로 대표되는 물리적 환경(하도 및 수리 특성)은 생태계 기반으로서 수질특성과 더불어 생물에 미치는 영향이 아주 크다. 따라서 하천의 물리적 환경을 진단하고 평가하는 경우에는 상 중 하류의 위치에 따른 하도의 지형학적 특성과 하천의 규모 및 유량의 크기 등에 따라 하천의 유형을 분류하고 그 유형별 특성에 따라 하천환경의 평가시스템을 구축할 필요가 있다. 1980년 후반 이후에는 세계 각국에서 환경보전, 하천복원 및 하천관리 등 종합적인 하천공학적 관점에서 적용할 수 있는 하천분류체계가 제시되었으며 1990년대 이후 선진국들은 정성적 또는 정량적인 하천의 서식환경 평가시스템을 구축하여 적용하고 있으며 대표적으로 정량적 평가시스템을 운영하는 국가는 독일과 미국이고, 정성적 평가시스템을 운영하는 국가는 영국이며, 호주는 영국과 미국의 평가시스템을 통합한 시스템을 운영하고 있다. 한편, 국내에서는 하천환경에서 생태계 기반인 하천의 물리적 특성(구조)에 대한 평가 및 진단 절차도 없이 시행되고 있는 사례가 대부분이다. 또한 지금까지는 하천의 자연도 평가 연구 등에서 선진국들의 하천환경평가시스템을 여과 없이 적용함으로써 국내의 하천특성을 제대로 반영하지 못하는 문제점을 노출하고 있다. 따라서 국내 하천의 물리환경 평가시스템에서는 생물 서식의 기반이 되는 하천의 하도지형 특성 및 수리특성을 반영할 수 있어야 한다. 하천평가에 앞서 하천유형 분류에 따른 하도특성은 하상경사에 따라서 급경사 하천(high-gradient stream), 중경사 하천(mid-gradient stream), 완경사 하천(low-gradient stream)으로 구분하였으며 하천의 물리환경 평가시스템의 평가영역 및 평가지표는 정량적 평가시스템을 운영하는 독일(LAWA, 2004)과 미국(EPA, 2004)의 연구결과를 참고하여 공통지표를 추출하고, 우리나라의 하천이용 및 정비현황을 반영하여 하천유형을 3가지로 분류하고 각 하천유형에 대하여 3개 영역 10개 평가지표를 5개 등급으로 구분하여 평가시스템을 구축하였다. 하천에 대한 하천 지형특성과 현황을 조사할 항목은 수리 및 하도영역의 6개 항목, 하안영역의 2개 항목, 하천교란 영역 2개 항목으로 3개 영역으로 구분해서 평가하고 그 점수에 따라 1등급은 매우좋음(1등급)상태의 $20>{\sim}18{\geq}$점, 좋음(2등급)상태의 $18>{\sim}14{\geq}$점, 보통(3등급)상태의 $14>{\sim}8{\geq}$점, 나쁨(4등급)상태의 $8>{\sim}14{\geq}$점, 매우나쁨(5등급)상태의 4>점으로 등급을 산정하였다. 매우 좋음의 1등급은 참조하천이며 좋음~매우나쁨의 2등급~5등급은 비교하천으로 구분하였으며 보통보다 높은 경우는 자연하천, 낮은 경우는 인공하천으로 나누어 서식처 기반에 따라 평가체계를 구축하였다. 한국형 하천환경 물리평가 체계가 확실히 구축되기 위해서는 각자의 평가 등급이 적절하게 평가 되는지를 검증해야 하기 때문에, 본 연구에서는 하천유형별 자연하천과 인공하천을 비교 분석하였고 평가 영역별 평가지표를 기준으로 상관분석을 통한 상관성을 분석하고 더 나아가 가중치의 적절성 및 각각의 등급에 미치는 영향을 검토하고자 한다.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.159-173
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• 2017

In order to provide technical financial support to small and medium-sized venture companies based on technology, the government implemented the TCB evaluation, which is a kind of technology rating evaluation, from the Kibo and a qualified private TCB. In this paper, we briefly review the current state of TCB evaluation and available indicators related to technology evaluation accumulated in the Korea Credit Information Services (TDB), and then use indicators that have a significant effect on the technology rating score. Multiple regression techniques will be explored. And the relative importance and classification accuracy of the indicators were calculated by applying the key indicators as independent features applied to the generalized boosting model, which is a representative machine learning classifier, as the class influence and the fitness of each model. As a result of the analysis, it was analyzed that the relative importance between the two models was not significantly different. However, GBM model had more weight on the InnoBiz certification, R&D department, patent registration and venture confirmation indicators than regression model.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.1
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• pp.12-22
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• 2018

In order to improve the vulnerability of current cities due to climate change, the disaster vulnerability analysis manual for various disasters is provided. Depending on the spatial units, the disaster vulnerability levels, and the conditions of the climatic factors, the results of the disaster vulnerability analysis will have a significant impact. In this study, relative assessments are conducted by adding the eup, myeon and dong unit in addition to census output area unit to analyze the impact on the spatial unit, and relative changes are analyzed according to the classification stages by expanding the natural classification, which is standardized at level four stage, to level two, four and six stage. The maximum rainfalls(10min, 60min, 24hr) are added for the two limited rainfall characteristics to determine the relativity of disaster vulnerable districts by index. The relative assessment results of heavy rainfall vulnerability index showed that the area ratio of disaster areas by spatial unit was different and the correlation analysis showed that the space analysis between the eup, myeon and dong unit in addition to census output area unit was not consistent. And it can be seen that the proportion of disaster vulnerable districts is relatively different a lot due to indexes of rainfall characteristics, spatial unit analysis and disaster vulnerability level stage. Based on the above results, it can be seen that the ratios of disaster vulnerable districts differ relatively significantly due to the level of the disaster vulnerability class, and the indexes of rainfall characteristics. This suggests that the impact of the disaster vulnerable districts depending on indexes is relatively large, and more detailed indexes should be selected when setting up the disaster vulnerabilities analysis index.

• Ecology and Resilient Infrastructure
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• v.8 no.2
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• pp.112-119
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• 2021

In 2012, the National Park Service conducted an ecological health assessment to efficiently preserve and manage the ecosystem. The need for improving pre-existing management indicators was recognized from the revised Natural Park Act because, while the indicators of the existing evaluation system focused on endangered species, ecosystem disturbance, diversity, water quality (BOD, DO), and habitat fragmentation, they did not reflect the lack of indicators for marine ecological assessment, policy changes, and the time demands. The evaluation results comprised a five-point grading system, which made the analysis of immediate changes, difficult. Therefore, the benthic pollution index (BPI) and habitat restoration indicators were added to improve the evaluation system. The National Park was assessed using 10 classifications, however, only four classifications were evaluated. The ratings were divided into five states, and ten classes were presented as pictograms. The assessment results showed a similar trend as the indicators were improved, increasing from level 3 to level 5. However, the results of the Wolaksan National Park after improvement in the indicators were lower than that before the improvement, whereas, for the Juwangsan National Park, it was higher. This study aims at contributing to the scientific and systematic management of the national park ecosystem by improving the ecological health assessment system.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.319-340
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• 2015

The purpose of this study is to provide a plan of classification scheme to efficiently manage the collected cultural resource in Asian Culture Information Agency (ACIA) of Asian Culture Complex. The characteristic and category of the cultural resources are identified after studying objectives and acquisition policies of ACIA. This paper in here compares classification schemes such as HRAF scheme, UNESCO cultural framework, Folklore Archive scheme, and classification scheme of Academy of Korean Studies. On the basis of it, this study proposes the principle and criterion of the new classification scheme in ACIA. The new classification scheme is classified as the cultural, social, and natural area in sequence. The number of main classes is set up 16 items.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.193-209
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• 2003

Tourism now stand among the fastest and largest industries in the global economy in the 21 st era, with knowledge information and environment industry. After 1990's, each local government in korea that has been organizing and expanding new and existing festivals, those related locality, natural resources, speciality and ethnic customs. While netizens have increased from the later half of 1990's, the Internet has appeared in it with a main advertizing channel of all industries, especially tourism. Each local county publicizes a local festival and all kind of information while managing its web-site. However, they have lots of difficulties In building local information web sites because of lack of technical and financial resources. This study examined general theories about Internet web sites and local festivals to elicit the previous problems and to suggest the ways to activate local festivals utilizing Internet, based upon analysis of web sites and Internet utilization on local festivals designated by the Ministry of Culture and Tourism as the cultural tour one among local festivals.

• The Journal of Bigdata
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• v.4 no.2
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• pp.115-126
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• 2019

There have been many discussions on export indices in trade exports, but there is no definite trade export index which can be explained by objective indicators. Korea International Trade Association (KITA), Korea Trade-Investment Promotion Agency (KOTRA), etc., but we are currently in the process of thinking about ways to express the capabilities of exporting companies. In this study, we constructed the AI data sets by setting the activity indicators such as the size of the company and the credit score, the number of transaction customers, the number of transactions, the number of items, the transaction volume, and the transaction period as features, Lightgbm. Using the Graph Neural Network as an industrial cluster classification model, the export live index which expresses the exportable capacity among companies, items, and business groups was calculated. This includes the past activity of the company from the current calculating index Objectivity.

• Korean Journal of Construction Engineering and Management
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• v.20 no.3
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• pp.31-38
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• 2019

The main purpose of this study is to analyze the impact of the cost estimates on the construction work in residential apartment housing facilities. The planning work of facility construction is roughly divided into five main tasks which are further broken down into the following: process plan (P1-P6), construction plan (C1-C5), environmental management plan (E1-E4), quality management plan (Q1-Q5) and the safety management plan (S1-S5). In this study these tasks were classified into 25 detailed planning duties and a statistical analysis was performed on each one to determine its impact on cost. Finally this study derives from major planning tasks for effective cost management through correlation between planning tasks, cost indicators and t-test.