• Aerospace Engineering and Technology
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• v.6 no.1
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• pp.19-28
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• 2007

In this study, a nonlinear 2 degree of freedom mathematical model has been developed for impact analysis of the nose landing gear of a light aircraft which is composed of an wheel & tire, an Oleo-pneumatic shock strut and the castering wheel fork for the differential braking steering, and then the response of impact is computed using a numerical method. The mathematical model of a nose landing gear contains nonlinear characteristics which are an impact load - deflection property of a tire and internally frictional forces between an inner surface of an upper cylinder and a bearing of a lower rod due to side forces like the declined angle of strut, the moment due to an wheel fork, the side drag due to a steering and it is computed using the 4th-order Runge-Kutta method. The comparison process between analytical results and experimental results of the other proven nose landing gear is carried out to verify the mathematical model.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.28 no.7
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• pp.584-587
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• 2017

In this paper, the radar cross section of the integrated mast module for battleship is analyzed. The computation program based on physical optics and physical theory of diffraction is developed and the computed results are compared with those of commercial simulator to check the accuracy of computations. The radar cross section is calculated in terms of the mast shape, incident angle, and polarization. The radar cross section can be reduced through the change of the mast slope and the chamfered mast, which can be applied to a mast with a low radar cross section.

• Tunnel and Underground Space
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• v.25 no.4
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• pp.303-319
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• 2015

Text mining is one of the branches of data mining and is used to find any meaningful information from the large amount of text. In this study, we analyzed titles and keywords of two SCI journals on rock engineering by using text mining to find major research area, trend and associations of research fields. Visualization of the results was also included for the intuitive understanding of the results. Two journals showed similar research fields but different patterns in the associations among research fields. IJRMMS showed simple network, that is one big group based on the keyword 'rock' with a few small groups. On the other hand, RMRE showed a complex network among various medium groups. Trend analysis by clustering and linear regression of keyword - year frequency matrix provided that most of the keywords increased in number as time goes by except a few descending keywords.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.71-71
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• 2011

캣워크는 현수교의 주케이블을 가설을 위해 일시적으로 설치하는 공중작업발판으로 주케이블 가설장비와 작업원 등의 하중을 지지한다. 캣워크는 유연한 구조물로서 풍하중에 상당한 변형이 발생한다. 하지만, 국내외를 막론하고 캣워크의 내풍안정성에 대한 연구는 별로 이루어지지 않았다. 거기에 더하여 캣워크에 작용하는 정적 공기력에 대한 정보도 부족하며, 현재 캣워크 단면에 대한 적절한 풍하중을 산정하지 못하고 경험적인 설계가 이루어지고 있다. 따라서 캣워크의 효율적인 내풍설계를 위하여 풍동실험을 통한 충실률과 공기력계수와의 관계를 알아보는 것이 필요하다. 이를 위하여 축척 1/4인 모형을 사용한 풍동실험을 통하여 메쉬망의 크기를 변화시키면서 충실률에 따른 공기력계수를 측정하고 설계식을 제안하고자 한다. 캣워크는 로프와 아울러 가는 철망으로 아래와 양 옆이 막혀 있다. 즉 바람을 직접 받는 부분인 철망은 가는 원형단면으로 구성되어 있다. 원형 단면의 경우에 레이놀즈 수에 따라 항력계수가 크게 변하는 것으로 알려져 있다. 그러나 가는 원형 단면으로 둘러싸인 캣워크의 항력계수에 레이놀즈 수가 미치는 영향에 대해서는 연구된 바가 없다. 본 연구에서는 캣워크의 공기력계수에 미치는 레이놀즈 수에 대한 영향을 파악하고자 1/4모형과 1/14모형을 제작하여 최대풍속 30m/s까지 변화시켜가면서 공기력계수를 측정하였다. 이때 레이놀즈 수는 최대 20배까지 차이가 나므로 만약 공기력계수가 레이놀즈 수의 영향을 받는다면 확실히 그 영향을 파악할 수 있다. 본 연구에서는 풍동실험을 통해 충실률과 공기력계수와의 관계과 레이놀즈 수의 영향을 살펴보았으며, 정적공기력 계수의 설계식을 제안하였다. 본 연구를 통하여 얻은 결과를 정리하면 다음과 같다. 1. 축척 1/14 및 1/4 모형을 사용하여 다양한 풍속에서 공기력계수를 측정한 결과, 캣워크에 작용하는 정적 공기력계수는 레이놀즈 수의 영향을 받지 않는 것으로 나타났다. 따라서 향후 새로운 형식의 캣워크에 대한 풍동실험을 수행할 경우에 축척에 상관없이 풍동실험 결과를 사용할 수 있을 것으로 판단된다. 2. 풍동실험 결과, 캣워크에 작용하는 정적 공기력계수 중 항력계수와 피칭모멘트계수는 측면 충실률에 따라 달라지고, 영각에 대한 양력계수의 기울기는 하부 충실률의 영향을 받는 것으로 나타났다. 그리고 주케이블이 캣워크 내부에 위치하고 있어도 캣워크의 정적 공기력계수에는 큰 영향을 미치지 않은 것으로 측정되었다. 이를 정리하여 캣워크 충실률에 따른 정적 공기력계수의 추정식을 제안하였다.

• Journal of Educational Research in Mathematics
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• v.15 no.4
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• pp.419-444
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• 2005

As a theoretical background for this research, the literatures which focus on teaching and loaming of connecting with mathematics and science were investigated. And the rationale of integrated curriculum on the basis of the 7th mathematics curriculum and the goal of mathematics education and the forms of integrated curriculum and the integrated curriculum in foreign school were investigated. Depending on this review, the implement method of the integrated curriculum of mathematics and science in Korea school is suggested as the following: It requires designing inter-disciplinary into-grated problem or various teaching and learning materials which are based upon concept, skill, and principle by commonality found across the subject matter. Based on the analyses upon described above, three inter-disciplinary integrated teaching and learning materials were developed. And then, based on the case stud)', the research questions were analyzed in depth. Students could understand the developing process of linear function, develop the formula and grape representing the relationship between time and velocity, time and distance, and interpret realistic meaning of the slope.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.119-126
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• 2005

We propose a new content-based image retrieval using a representative color histogram and directional pattern histogram that is adaptive to the classification characteristics of the image blocks. In the proposed method the color and pattern feature vectors are extracted according to the characteristics o: the block classification after dividing the image into blocks with a fixed size. First, the divided blocks are classified as either luminance or color blocks depending on the saturation of the block. Thereafter, the color feature vectors are extracted by calculating histograms of the block average luminance co-occurrence for the luminance block and the block average colors for the color blocks. In addition, block directional pattern feature vectors are extracted by calculating histograms after performing the directional gradient classification of the luminance. Experimental results show that the proposed method can outperform the conventional methods as regards the precision and the size of the feature vector dimension.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.1
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• pp.23-28
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• 2017

Shape from focus (SFF) is a technique used to reconstruct 3D shape of objects from a sequence of images obtained at different focus settings of the lens. In this paper, a new shape from focus method for 3D reconstruction of microscopic objects is described, which is based on gradient operator in Mathematical Morphology. Conventionally, in SFF methods, a single focus measure is used for measuring the focus quality. Due to the complex shape and texture of microscopic objects, single measure based operators are not sufficient, so we propose morphological operators with multi-structuring elements for computing the focus values. Finally, an optimal focus measure is obtained by combining the response of all focus measures. The experimental results showed that the proposed algorithm has provided more accurate depth maps than the existing methods in terms of three-dimensional shape recovery.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1519-1526
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• 2013

This study reviewed the capturing performance of a canopy hood used in some melting processes of a casting manufacturing factory through a site survey. In addition, this study compared and evaluated the flow field and pressure field for the plans to enhance the hazardous air pollutants collection capacity by using CFD model. The case-2(flange attached + double hood) can be improved in terms of collection performance, but is expected to increase in hood static pressure by about 70% more than the existing structure, so it was shown that its site applicability is not good. It is judged that the shape of case-3(flange attached + double cone attached) is most suitable to improve the suction efficiency. This is because a double cone is installed at the center of the opening to concentrate the flow rate on the edge of the hood and control the hume rising to the center of the hood without a static pressure rise via the slope of the cone.

• Database Research
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• v.34 no.3
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• pp.124-136
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• 2018

There have been active research activities to use neural networks to analyze OCT images and make medical decisions. One requirement for these approaches to be promising solutions is that the trained network must be generalized to new devices without a substantial loss of performance. In this paper, we use a deep convolutional neural network to distinguish AMD from normal patients. The network was trained using a data set generated from an OCT device. We observed a significant performance degradation when it was applied to a new data set obtained from a different OCT device. To overcome this performance degradation, we propose an image normalization method which performs segmentation of OCT images to identify the retina area and aligns images so that the retina region lies horizontally in the image. We experimentally evaluated the performance of the proposed method. The experiment confirmed a significant performance improvement of our approach.

• Journal of Korean Society of Forest Science
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• v.106 no.3
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• pp.340-352
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• 2017

In This study, we examined the gap between supply and demand of forest policy by year through big data analysis for macroscopic evaluation of the 5th Basic Forest Plan. We collected unstructured data based on keywords related to the projects mentioned in the news, SNS and so on in the relevant year for the policy demand side; and based on the documents published by the Korea Forest Service for the policy supply side. based on the collected data, we specified the network structure through the social network analysis technique, and identified the gap between supply and demand of the Korea Forest Service's policies by comparing the network of the demand side and that of the supply side. The results of big data analysis indicated that the network of the supply side is less radial than that of the demand side, implying that various keywords other than forest could considerably influence on the network. Also we compared the trends of supply and demand for 33 keywords related to 27 major projects. The results showed that 7 keywords shows increasing demand but decreasing supply: sustainable, forest management, forest biota, forest protection, forest disease and pest, urban forest, and North Korea. Since the supply-demand gap is confirmed for the 7 keywords, it is necessary to strengthen the forest policy regarding the 7 keywords in the 6th Basic Plan.