• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.283-284
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• 2009

본 논문은 단일 카메라 환경에서 손 형상을 입력정보로 사용하여 손 영역만을 분할한 후 자기 조직화 특징 지도(SOFM: Self Organized Feature Map) 신경망 알고리즘을 이용하여 손 형상을 인식함으로서 수화인식을 위한 보다 안정적이며 강인한 인식 시스템을 구현하고자 한다.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.1
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• pp.19-27
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• 2015

As the recent regulation of Internaional Maritime Organization (IMO) is enforced, the advanced technology of Ballast water treatment system (BWTS) is needed to meet its requirements. Until now, there are two kinds of the BWTS technologies such as physical methods (Membrane and UV) and chemical methods (Chlorin and Ozone). However, these conventional methods have some limitations of auxiliary power, low productivity, residual treatment and etc. In order to overcome these problems, this paper introduces the new kind of BWTS based on mechanical principle and investigates the effect of rotating disc shapes on flow characteristics between rotating and stationary discs by computational fluid dynamics (CFD). Planar and Step types can make the local cavitation generated along radius, and Circular type can increase the intensity of shear stress.

• Journal of the KSME
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• v.25 no.1
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• pp.2-8
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• 1985

기계설계의 초보자들은 가장 단순한 설계문제에 부딪치더라도 해답을 제시할 수 있는 형이나 모델의 부족 때문에, 만일 확고한 방안이나 방침이 주어지지 않는다면 끝없는 시행착오로 인해 설계방법을 잃어버리게 됨을, 설계를 처음 시작한 사람은 잘 알고 있다. 따라서 본 해설은 이 러한 점을 지양시키기 위해, 특히 기계설계에 있어 해석적인 방법이 없이 오직 경험에 의해 결 정되며 계산의 최종단계인 형상설정을, 숙련된 기계설계자는 물론 초보자도 신속하고 용이하게 처리할 수 있는 방안 및 지침서를 제공하고져 기술되었다. 또, 체계적이고 일발적인 형상결정 지침서를 기초로 하여 경험 및 불확정에 의존한 형상결정을 지양시킴은 물론, 기계설계의 형상 결정 단계에서 절대 필요한 창조능력 및 개발능력을 배양 시키는 데에 본 형상결정 지침서를 활용할 수 있겠다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.586-589
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• 2017

소프트웨어 프로젝트 관리를 위한 여러 항목 중, 형상 관리는 매우 중요한 영역이다. 눈에 보이지 않는 소프트웨어의 결과물을 산출물인 문서로 설명, 이해, 관리하는 활동이기 때문이다. 형상 관리는 현재 한국항공우주연구원에서 운영 중인 지구관측위성에서도 중요하게 여겨지고 있다. 위성 영상 데이터의 효율적인 관리 등을 위해 형상 관리의 필요성이 계속해서 대두되어 왔다. 본 논문에서는, 기존에 다루어지는 일련의 과정들을 체계적으로 정리 및 새롭게 정의하고, 더불어 향상 관리 범위에 포함되어 있는 관리자 및 사용자가 필요로 하는 각 산출 문서의 내용을 편리하게 사용할 수 있도록 지원하는 Node.js 기반의 형상 관리 시스템 개발 방안에 대하여 기술하고자 한다. 아울러, 이 Node.js 플랫폼이 View단과 Server단을 하나로 통합하여 개발하는 방식이기 때문에, 우리가 필요로 하는 위성 영상 데이터의 효율적인 향상 관리 지원을 위한 시스템 개발에 적용해 보았다. 결과적으로, 제안하는 설계 방법이 적합하다는 것을 단계적 단위 시험을 통하여 확인하였다.

• Journal of Bio-Environment Control
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• v.20 no.2
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• pp.63-71
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• 2011

Pattern recognition of a cucumber were conducted to detect directly the binary images by using thresholding method, which have the threshold level at the optimum intensity value. By restricting conditions of learning pattern, output patterns could be extracted from the same and similar input patterns by the algorithm. The algorithm of pattern recognition was developed to determine the position of the cucumber from a real image within working condition. The algorithm, designed and developed for this project, learned two, three or four learning pattern, and each learning pattern applied it to twenty sample patterns. The restored success rate of output pattern to sample pattern form two, three or four learning pattern was 65.0%, 45.0%, 12.5% respectively. The more number of learning pattern had, the more number of different out pattern detected when it was conversed. Detection of feature pattern of cucumber was processed by using auto scanning with real image of 30 by 30 pixel. The computing times required to execute the processing time of cucumber recognition took 0.5 to 1 second. Also, five real images tested, false pattern to the learning pattern is found that it has an elimination rate which is range from 96 to 98%. Some output patterns was recognized as a cucumber by the algorithm with the conditions. the rate of false recognition was range from 0.1 to 4.2%.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.2 s.29
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• pp.53-59
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• 2004

In this paper, we investigated a method for feature-based classification to develop a software which is suitable for the classification of high resolution satellite imagery. We developed algorithms for image segmentation and fuzzy-based classification required for feature-based classification and designed user interfaces to support interaction with user, considering various elements required for the feature-based classification. Evaluation of the software was accomplished using real image. Classification results were compared and analysed with eCognition software which is unique commercial software for feature-based classification. The classification results from both softwares showed essentially same results and the developed software showed better result in the processing speed.

• Journal of Korean Association for Spatial Structures
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• v.12 no.2
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• pp.45-53
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• 2012

This paper derives Isogeometric analysis and post-processing method of surface that are generated by NURBS basis function for accurate geometric modeling and structure analysis of free-form. By deforming these parameters that are consisted of control points, knots, polynomial, variable geometric models are derived. The basis function that is used to Isogeometric analysis is same to the basis function of NURBS that is used to generate geometric models. For performing isogeometric analysis, h-p-k refinement is performed without changing of original geometry. To visualize the results of isogeometric analysis that control points' displacements, post-processing method that is the interface method between IGES format and Rhinoceros is derived.

• Korea Information Processing Society Review
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• v.2 no.2
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• pp.98-107
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• 1995

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.151-154
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• 1998

본 논문에서는 스테레오 정합기법을 이용하여 2차원 물체의 형상정보로부터 3차원 형상정보를 자동 추출하는 시스템을 제안한다. 본 논문에서는 정확한 3차원 형상추출을 위해서 밝기값기반 방법과 특징기반 방법의 장점을 살려 두 방법을 통합 사용하였다. 또한, 오정합을 최소화하고 처리속도를 향상시키기 위해서Coarst-to-fine 방법을 적용하였다. 제안한 방법에 의해 도출된 변이영상(Disparity map)은 3차원 그래픽을 이용하여 모델링에 적용함으로써 3차원 형상정보 추출의 타당성 및 가상공간에서의 적용 가능성을 보였다.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.4
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• pp.53-59
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• 2009

The purpose of this research is particle shape evaluation of granular soil and aggregate using Digital Image Process(DIP). DIP is very useful to measure the roughness and particle shape of aggregates. Couple of aggregates, like standard sand, two different crushed stones, and two different marine aggregates, have been employed. Shape factor of two different marine aggregates is ranged 0.35 to 0.54. Crushed stone I is that of 0.74 which is highly flat, but standard sand is elongated shape. Especially, two marine aggregate showed a big difference of width and length which meaned a long shape. There is any significant difference of elongation ratio and flakiness for each aggregate with different measuring system, like direct measurement of vernier calipers and DIP method. Within the limited test results, DIP is one of useful to get the particle shape of aggregate with limitation of measuring errors and to apply the particle distribution curve.