• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.12 no.1
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• pp.35-42
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• 1994

This study aims to develop a hydrological information management system to manage the hydrological data of Han river integratedly. Various data related to hydrology such as water level, dams, the positions of the hydrological structures for Han river were collected and inputed to build the hydrological information management system. The Database Management System(DBMS) of Korea Water Resources Cooperation which is operated in the form of digits and characters was linked to the Geo-Spatial Information System to join positional information and digital information and to analyze the hydrological data using graphical techniques. Through this study, the positional errors which occurred when digital or characteristic informations were only used, were detected. And the hydrological information management system was presented to estimate the reliability of data related to water level among the hydrological information and to show the basis of output used to correct the data.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.29-29
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• 2016

새만금호의 목표수질 달성과 지속가능한 관리를 위해서는 비점오염 관리의 필요성이 강조되고 있다. 특히, 새만금호 상류 유역은 농경지 비율이 38%로서 높아 농업활동에서 유래하는 농업 비점오염원의 효과적인 관리가 필요하다. 이를 위해서는 농업비점오염 저감기술의 개발하는 물리적 기술적 접근만이 아니라 농업인과 지역주민의 참여와 함께 행정적인 지원을 포함하는 사회 경제 문화적 접근을 포함하는 통합적인 접근 즉, 거버넌스가 요구된다. 이러한 거버넌스를 새만금유역의 농업비점 관리에 적용하려는 노력의 일환으로 "새만금유역 농업비점오염관리 거버넌스구축 사업모델 개발"에 대한 연구를 2015년부터 2016년까지 2년간 추진하게 되었다. 본 연구의 목적은 농업비점오염 관리를 위한 거버넌스 구축과 운영에 필요한 요소들을 도출하고 각각의 요소별 추진 프로세스를 개발하고 최종적으로 이를 상호 연계하여 운영하는 기법을 개발하는 것이다. 농업비점오염관리 거버넌스 구축의 접근 방향으로는 신규구축형과 기존정책사업연계형으로 접근하는 것이 바람직 할 것으로 판단된다. 거버넌스 시스템은 참여단위와 행정단위, 그리고 이것을 연계 지원하는 '중간지원조직'의 다층적 거버넌스 구조로 제안하였다. 참여단위 거버넌스는 공동체단위와 개별 농가단위의 참여 프로그램으로 설계하였다. 특히, 참여단위 거버넌스의 지속성을 유지하기 위해서 커뮤니티비즈니스 육성이 필요할 것으로 나타났다. 1차년도(2015년)에는 신규구축형을 중심으로 진행을 위하여 전라북도 부안군 백산면 용계리를 연구대상 지구로 선정하였다. 참여단위 거버넌스 구축을 위하여 연구대상 지구에서 우리 마을과 물 이야기, 우리마을회의 등 통하여 주민이 생각하는 지역의 역사와 문화 등 잠재자원을 발굴하였고, 이를 바탕으로 침체된 마을 공동체를 마을길을 연결하여 다시 활성화 하고, 물이 흐르는 마을도랑으로 가꾸고, 단절된 이웃간 마음을 연결하기 위한 "마을길-물길-마음길 연결" 커뮤니티 비즈니스 프로젝터를 도출하였다. 이러한 거버넌스구축 프로그램의 정보의 공유와 확산을 위하여 커뮤니티 비즈니스 안내판을 설치하고, 마을소식지(청파)를 제작배부하고 거버넌스구축 과정을 담은 마을영상다큐 제작을 진행하였다. 2차년도에는 커뮤니티 비즈니스 심화과정을 운영하고자 한다. 본 연구의 결과는 앞으로 농촌지역의 비점오염관리를 위한 거버넌스구축 등 정책 및 제도개선에 도움이 될 것으로 기대된다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.1
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• pp.24-35
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• 2023

Rapid industrialization and urbanization have led to severe marine pollution. A Water Quality Index (WQI) has been developed to allow the effective management of marine pollution. However, the WQI suffers from problems with loss of information due to the complex calculations involved, changes in standards, calculation errors by practitioners, and statistical errors. Consequently, research on the use of artificial intelligence techniques to predict the marine and coastal WQI is being conducted both locally and internationally. In this study, six techniques (RF, XGBoost, KNN, Ext, SVM, and LR) were studied using marine environmental measurement data (2000-2020) to determine the most appropriate artificial intelligence technique to estimate the WOI of five ecoregions in the Korean seas. Our results show that the random forest method offers the best performance as compared to the other methods studied. The residual analysis of the WQI predicted score and actual score using the random forest method shows that the temporal and spatial prediction performance was exceptional for all ecoregions. In conclusion, the RF model of WQI prediction developed in this study is considered to be applicable to Korean seas with high accuracy.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.754-775
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• 2014

At the point of growth management, weighted values for the each index have been calculated by applying AHP method based on the interview. With calculated weighted values, an example assessment had been performed on Gyunggi area, a typical place where urban growth management is needed urgently, and intended to provide applicable implications by analyzing them when establishing the means of the urban growth management plans. The result of this research is presented in order of the weight values highest to lowest as below: 'preventing disordered urban sprawl', 'protecting taxpayers', 'promoting efficient urban development' and 'improving the quality of life'. When applied to Gyunggi area, the results are in similar patterns: 'preventing disordered urban sprawl (11 cities)', 'protecting taxpayers (11 cities)', 'improving the quality of life (5 cities)' and 'promoting efficient urban development (4 cities)'. To build the well-balanced urban growth management plans, two factors must be in consideration as well as with others, 'Improving quality of the life' and 'promoting efficient urban development'. Furthermore, the result of the index in this research can provide a guidance to local governments of provinces and cities to build their urban growth management plans in the future.

• Journal of Korean Society of Steel Construction
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• v.11 no.1 s.38
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• pp.1-11
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• 1999

The aim of this study is to construct a machine vision monitoring system for an automatic visual inspection of weld joint in steel structure. An image processing algorithm for a visual weld defects detection on weld bead is developed using the intensity image. An optic system for getting four intensity images was set as a fixed camera position and four different illumination directions. The input images were thresholded and segmented after a suitable preprocessing and the features of each region were defined and calculated. The features were used in the detection and the classification of the visual weld defects. It is confirmed that the developed algorithm can detect weld defects that could not be detected by previously developed techniques. The recognized results were evaluated and compared to expert inspectors' results.

• Korean Journal of Construction Engineering and Management
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• v.9 no.1
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• pp.143-154
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• 2008

Since the concerns for safety of highway traffic safety facilities inherent in various environmental risk is increased, systematic performance, cost, and effect analysis process is needed for this. In case of median barrier among various traffic safety facilities, quantitative risk assessment is inevitable because it has lots of direct/indirect risk factors. Thus, this study suggests an advanced VE(Value Engineering) approach incorporating quantitative risk analysis. For the applicability, suggested VE approach considering alternative 1(140cm) and 2(127cm) is applied to median barrier in fields. Also, major improvement objects are extracted from governing factors of cost and performance based on functional analysis. It is concluded that the proposed risk assessment methodology will provide rational and practical solutions for best value and the approach could effectively applied for various traffic safety facilities by slight modification of suggest process.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.137-145
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• 2010

Digital vessel have to accurate and efficient mange the digital data from various sensors in the digital vessel. But, In sensor network, it is difficult to transmit and analyze the entire stream data depending on limited networks, power and processor. Therefore it is suitable to use alternative stream data processing after classifying the continuous stream data. In this paper, We propose efficient processing method that arrange some sensors (temperature, humidity, lighting, voice) and process query based on sliding window for efficient input stream and pre-clustering using multiple Support Vector Machine(SVM) algorithm and manage hash table to summarized information. Processing performance improve as store and search and memory using hash table and usage reduced so maintain hash table in memory. We obtained to efficient result that accuracy rate and processing performance of proposal method using 35,912 data sets.

• Journal of Wetlands Research
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• v.10 no.2
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• pp.155-164
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• 2008

As popultations expand and economies develop, increasing competition for limited available water resources is occurring among many water users. This has brought greater attention to water allocation with legal and institutional constraints. This paper develops a optimal water allocation methodology to basinwide water resources allocation, which ensures that scare water resources are allocated among competing water users. The methodology need to be based on optimization technique to allocate water resources due to an extended scaled of river basin. The recommended model is developed to accomplish economic efficiency, equity and sustainability objectives. The appropriate case study is tested with various existing water right system allocation model and the recommended model. The result shows the applicability of model to the complex hydrologic system with legal and institutional constraints.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.1
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• pp.8-18
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• 2010

Traditional storage server suffers from duplicated data blocks which cause an waste of storage space and network bandwidth. To address this problem, various de-duplication mechanisms are proposed. Especially, lots of works are limited to backup server that exploits Contents-Defined Chunking (CDC). In backup server, duplicated blocks can be easily traced by using Anchor, therefore CDC scheme is widely used for backup server. In this paper, we propose a new de-duplication mechanism for improving a storage system. We focus on efficient algorithm for supporting general purpose de-duplication server including backup server, P2P server, and FTP server. The key idea is to adapt stride scheme on traditional fixed block duplication checking mechanism. Experimental result shows that the proposed mechanism can minimize computation time for detecting duplicated region of blocks and efficiently manage storage systems.

• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.83-105
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• 2019

This study aims to suggest an effective method for the automatic classification of keywords with similar patterns by calculating pattern similarity of temporal data. For this, large scale news on the Web were collected and time series data composed of 120 time segments were built. To make training data set for the performance test of the proposed model, 440 representative keywords were manually classified according to 8 types of trend. This study introduces a Dynamic Time Warping(DTW) method which have been commonly used in the field of time series analytics, and proposes an application model, MA-DTW based on a Moving Average(MA) method which gives a good explanation on a tendency of trend curve. As a result of the automatic classification by a k-Nearest Neighbor(kNN) algorithm, Euclidean Distance(ED) and DTW showed 48.2% and 66.6% of maximum micro-averaged F1 score respectively, whereas the proposed model represented 74.3% of the best micro-averaged F1 score. In all respect of the comprehensive experiments, the suggested model outperformed the methods of ED and DTW.