• 환경영향평가
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• 제18권2호
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• pp.99-109
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• 2009

In general, manual calibration is commonly used for the stream water quality modelling. Because the manual calibration depends upon the subjectivity and experience of the researcher, it has a problem with the objectivity of the modelling. Thus, the interest about the automatic calibration by the optimization technique is deeply increased. In this study, Influence coefficient algorithm and Genetic algorithm are introduced to develop an automatic calibration model for the QUAL2K that are the latest version of the QUAL2E. Genetic algorithm, used in this study, is very simple and easy to understand but also applicable to any complicated mathematical problem, and it can find out the global optimum solution effectively. The developed automatic calibration model is applied to the Gangneung Namdaecheon. The calibration results about the 11 water quality variables show the good correspondence between the calculated and observed water quality values.

• Journal of information and communication convergence engineering
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• 제10권1호
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• pp.66-70
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• 2012

Conformal mapping has been a familiar tool of science and engineering for generations. Determination of a conformal map from the unit disk onto the Jordan region is reduced to solving the Theodorsen equation, which is an integral equation for boundary correspondence functions. There are many methods for solving the Theodorsen equation. It is the goal of numerical conformal mapping to find methods that are at once fast, accurate, and reliable. In this paper, we analyze Niethammer’s solution based on successive over-relaxation (SOR) iteration and Wegmann’s solution based on Newton iteration, and compare them to determine which one is more effective. Through several numerical experiments with these two methods, we can see that Niethammer’s method is more effective than Wegmann’s when the degree of the problem is low and Wegmann’s method is more effective than Niethammer’s when the degree of the problem is high.

• 대한안전경영과학회지
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• 제12권3호
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• pp.231-235
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• 2010

Recently, according to the total quality management environment, the necessity of the systematic administration about the quality information is gradually enlarged as to vehicle related company. Accordingly, related companies require the operation of the information management system matched with the quality administration task level. And through the storage and share of the efficient quality information, they try to solve the customer claim about the quality and prevent the quality problem recurrence of product. This research suggests the standard business process of the auto part supplier for the efficient management of the quality information and the quick correspondence of the quality problem. In addition, by building and managing the quality information management system will be able to expect the more efficient quality management and the product reliability insurance.

• 한국문헌정보학회지
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• 제54권1호
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• pp.197-221
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• 2020

본 연구는 문헌정보학과 '독서지도' 과목 수강생을 대상으로 프로젝트 기반 학습이 문제해결능력과 의사소통능력에 미치는 영향을 파악하기 위해 수행되었다. 문제해결능력은 5단계30문항과 의사소통능력은 15영역의 45문항으로 측정되었다. 대응표본 T-test를 통해 분석한 결과, 5개 하위단계로 구성된 문제해결능력에서 모두 통계적으로 유의한 차이를 보였다. 그러나 의사소통능력의 15개 하위영역 모두 사전사후 검사결과의 차이는 없는 것으로 드러났다. 과목 수강의 어려움, 수업 내용, 과제의 적절성, 평가방법의 타당성, 팀원과의 관계, 과제 수행 후 유익성에 대한 심층면담이 수행되었다. 문제해결능력과 의사소통능력의 하위영역별 논의점에 대한 집중적인 분석이 이루어졌다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1458-1463
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• 2004

Tracking is one of the most important pre-required task for many application such as human-computer interaction through gesture and face recognition, motion analysis, visual servoing, augment reality, industrial assembly and robot obstacle avoidance. Recently, 3D information of object is required in realtime for many aforementioned applications. 3D tracking is difficult problem to solve because during the image formation process of the camera, explicit 3D information about objects in the scene is lost. Recently, many vision system use stereo camera especially for 3D tracking. The 3D feature based tracking(3DFBT) which is on of the 3D tracking system using stereo vision have many advantage compare to other tracking methods. If we assumed the correspondence problem which is one of the subproblem of 3DFBT is solved, the accuracy of tracking depends on the accuracy of camera calibration. However, The existing calibration method based on accurate camera model so that modelling error and weakness to lens distortion are embedded. Therefore, this thesis proposes 3D feature based tracking method using SVM which is used to solve reconstruction problem.

• 한국비블리아학회지
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• 제29권3호
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• pp.89-109
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• 2018

본 연구는 문헌정보학과 '미디어센터 운영' 과목 수강생을 대상으로 프로젝트 기반 학습이 자기주도적 학습과 문제해결능력에 미치는 영향을 파악하기 위해 수행되었다. 자기주도적 학습능력은 8개 하위영역의 48문항, 문제해결능력은 5단계의 문제해결과정에 근거한 30개 문항으로 측정되었다. 대응표본 T-test를 통해 분석한 결과, 8개 하위영역으로 구성된 자기주도적 학습능력에서 '자기이해' 영역을 제외한 모든 영역에서 통계적으로 유의한 결과를 발견하였다. 또한, 5단계로 구성된 문제해결능력에서 모두 통계적으로 유의한 차이를 보였다. 심층면담이 과목 수강의 어려움, 수업 내용, 과제의 적절성, 평가방법의 타당성, 팀원과의 관계, 과제 수행 후 유익성에 대하여 이루어졌고, 추후연구를 위한 제언이 제시되었다.

• 대한수학교육학회지:수학교육학연구
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• 제15권2호
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• pp.131-145
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• 2005

이 논문은 중고등학교 학생들과 예비수학교사를 대상으로 삼각형의 결정조건과 합동조건에 대한 이해의 양상의 일단을 조사하고, 삼각형의 결정조건과 합동조건에 대해 교수학적으로 분석한 것이다. 연구 결과의 일부를 제시하면 다음과 같다. 첫째, 삼각형의 6요소 구하기 학습 지도시 중학교에서 배운 삼각형의 결정조건이 지닌 의미를 재음미할 기회를 제공해야 한다. 둘째, 무엇을 삼각형의 결정조건으로 볼 것인가는 결정조건을 탐구하는 맥락에 따라 달리 판단될 수 있는 문제이다. 셋째, 삼각형의 결정조건이 지닌 최소필수성을 인식할 수 있게 하는 교재 구성과 학습 지도가 필요하다. 넷째, 합동에서 '대응'의 중요성을 인식하게 하는 학습 지도가 필요하며, 삼각형의 합동조건에서 '대응하는' 이라는 표현이 지닌 문제점을 해소하는 방안을 모색할 필요가 있다.

• 농촌지도와개발
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• 제20권2호
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• pp.383-405
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• 2013

본 연구의 목적은 농촌지도사의 직무별로 관련성 있는 역량을 도출하고자 하였으며 이를 위해 농촌지도사의 직무와 개별역량 간의 대응분석을 실시하였다. 분석결과 농촌지도사의 지도기획 직무는 '문제해결' 및 '아이디어 창출' 역량과 관련성이 높게 나타났으며, 생활개선 교육 직무는 '지도사업평가', '고객지향성' 및 '이해력' 역량과 관련성이 높게 나타났고, 작물기술보급 직무는 '현장지도' 및 '책임성' 역량과 관련성이 높은 것으로 분석되었다. 본 연구에서는 이러한 분석결과를 바탕으로 향후 농촌지도사들의 역량강화를 통한 직무의 효과성을 제고하기 위하여 직무별로 관련성이 높게 나타난 역량들에 대한 중점적인 교육이 실시될 필요성을 제시하였다. 또한 신규지도사의 최초 직무 배치시 개별역량의 측정 결과를 바탕으로 적정한 직무에 배치할 수 있는 기초자료로 활용하고자 하였다.

• IEIE Transactions on Smart Processing and Computing
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• 제4권1호
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• pp.1-9
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• 2015

Template matching is used for many applications in image processing. One of the most researched topics is object tracking. Normalized Cross Correlation (NCC) is the basic statistical approach to match images. NCC is used for template matching or pattern recognition. A template can be considered from a reference image, and an image from a scene can be considered as a source image. The objective is to establish the correspondence between the reference and source images. The matching gives a measure of the degree of similarity between the image and the template. A problem with NCC is its high computational cost and occasional mismatching. To deal with this problem, this paper presents an algorithm based on the Sum of Squared Difference (SSD) and an adaptive template matching to enhance the quality of the template matching in object tracking. The SSD provides low computational cost, while the adaptive template matching increases the accuracy matching. The experimental results showed that the proposed algorithm is quite efficient for image matching. The effectiveness of this method is demonstrated by several situations in the results section.

• Ocean Systems Engineering
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• 제6권3호
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• pp.217-231
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• 2016

This paper presents a new approach for underwater image analysis using the bi-dimensional empirical mode decomposition (BEMD) technique and the phase congruency information. The BEMD algorithm, fully unsupervised, it is mainly applied to texture extraction and image filtering, which are widely recognized as a difficult and challenging machine vision problem. The phase information is the very stability feature of image. Recent developments in analysis methods on the phase congruency information have received large attention by the image researchers. In this paper, the proposed method is called the EP model that inherits the advantages of the first two algorithms, so this model is suitable for processing underwater image. Moreover, the receiver operating characteristic (ROC) curve is presented in this paper to solve the problem that the threshold is greatly affected by personal experience when underwater image edge detection is performed using the EP model. The EP images are computed using combinations of the Canny detector parameters, and the binaryzation image results are generated accordingly. The ideal EP edge feature extractive maps are estimated using correspondence threshold which is optimized by ROC analysis. The experimental results show that the proposed algorithm is able to avoid the operation error caused by manual setting of the detection threshold, and to adaptively set the image feature detection threshold. The proposed method has been proved to be accuracy and effectiveness by the underwater image processing examples.