• Journal of the Computational Structural Engineering Institute of Korea
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• v.26 no.5
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• pp.385-392
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• 2013

The finite element method has become the most widely used method of structural analysis and recently, the method has often been applied to complex dynamic and nonlinear structural analyses problems. Even for these complex problems, where the responses are hard to predict, finite element analyses yield reliable results if appropriate element types and meshes are used. However, the dynamic and nonlinear behaviors of a structure often include large deformations in various portions of the structure and if the same mesh is used throughout the analysis, some elements may deform to shapes beyond the reliable limits; thus dynamically adapting finite element meshes are needed in order for the finite element analyses to be accurate. In addition, to satisfy the users requirement of quick real run time of finite element programs, the algorithms must be computationally efficient. This paper presents an adaptive finite element mesh generation scheme for dynamic analyses of structures that may adapt at each time step. Representative strain values are used for error estimates and combinations of the h-method(node movement) and the r-method(element division) are used for mesh refinements. A coefficient that depends on the shape of an element is used to limit overly distorted elements. A simple frame example shows the accuracy and computational efficiency of the scheme. The aim of the study is to outline the adaptive scheme and to demonstrate the potential use in general finite element analyses of dynamic and nonlinear structural problems commonly encountered.

• Tuberculosis and Respiratory Diseases
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• v.45 no.2
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• pp.333-340
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• 1998

Background: Lung cancer is the leading cause of cancer over the world. P53 alteration is by far the most common genetic defect in lung cancer. The mutation of p53 protein involves the loss of inhibitory function of p53 related tumor suppressor gene and resultant oncogenesis. The analysis of p53 alterations consists of immunohistochemical stain, PCR based assay, or serologic ELISA (enzyme-linked immunosorbent assay). Methods : Serum levels of p53 mutant protein were measured in 69 cases of lung cancer (adenocarcinoma n=29, epidermoid n=16, small cell n=13, large cell n=1, undifferentiated n=1, undetermined n=9) and 42 controls of respiratory disorders using ELISA. Immunohistochemical stain in tissue was performed using monoclonal antibody of p53 in lung cancer subjects. Results: Both serum p53s in nonsmall cell cancer ($0.28{\pm}0.44ng/ml$) and in small cell cancer ($0.20{\pm}0.14ng/ml$) were not different from controls ($0.34{\pm}0.20ng/ml$). Also there was no significant difference in serum p53 according to tumor stages. P53 immunohistochemical stain showed 50% positivity overall in lung cancer. There were no close correlation between serologic level and positivity of immunohistochemical stain. Conclusion: The serologic determination of p53 mutant protein is thought to have no diagnostic role in lung cancer. Immunohistochemical stain in lung cancer specimen shows 50% positivity.

• Journal of The Korean Association For Science Education
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• v.35 no.1
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• pp.27-35
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• 2015

General education is changed by accepting the change in education environment to digital generation, emphasis about student-centered education, and change of teacher's role. E-learning has taken center stage as an effective learning environment but the problems are drawn for the absence of interaction that is important in learning. In this study, on the basis of questionnaire results about learning using website, we operated blended-learning where students come and go in cyberspace and physical space to set up the lesson environment for emphasizing interaction. We selected a control group (N=40) and an experimental group (N=40) from second grade students in a middle school for this research. General instructor-led lessons were implemented in the control group and blended-learning lessons to emphasize interaction between teacher and students were implemented in the experimental group. The experiments were applied to eight class-hours in 'characteristics of matter' unit. We implemented Test of Science Related Attitude (TOSRA) to the students before and after the lessons and administered questionnaire for checking attitude changes and perception in students. The results of the test show that the experimental group students were more encouraged and became more confident and curious about scientific learning than the control group students. The analysis of the interview and results of TOSRA show that blended-learning provided guidance and feedback by the teacher to the experimental group students more than the control group students. Blended-learning is suggested as a learning-method that is helpful in improving scientific attitude in students because it enables them to express their experiences without limit of time-space and promote interaction between teacher and students.

• Journal of The Korean Association For Science Education
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• v.35 no.1
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• pp.143-157
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• 2015

The purpose of this study is to examine the possibility of science education using Korean TSK(Traditional scientific knowledge). In this study, we have developed five Korean TSK units including science concepts, historical knowledge and cultural experience and applied them to 10th graders. The five units are as follows: (1) Calendars(western and eastern), (2) Our traditional sundial, Angbuilgu, (3) A great scientist in the King Sejong Era, (4) Data interpretation of ancient record of natural phenomenon in Korea, and (5) Gyeongbokgung Palace. The analyses included a pre- and post test of students' perception, classroom observation, students' activity sheets, and interview. The results show that the students' perception of Korean TSK has changed toward recognizing the value of Korean TSK as a kind of natural science. They expressed their expectation of Korean TSK in scientific, practical, and emotional perspectives, wherein some students thought the practical and emotional perspectives of Korean TSK as non-scientific characteristics. Students showed five types of worldview about the relationship between Korean TSK and WMS(western modern science). Most students favored and cherished the Korean TSK but at the same time, they were confused about its scientific value. The results support the rethinking of the meaning of science and what students learn in school. We should consider how we teach the Korean TSK to students. It is important that a profound research of the Korean TSK should be continued to make our science education varied.

• Clinical and Experimental Reproductive Medicine
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• v.30 no.4
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• pp.317-324
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• 2003

목 적: 본 실험의 목적은 자궁내막세포를 분리 및 배양법 확립과 함께 불멸화 시키는 것이다. 방 법: 자궁내막에서 상피세포(epithelial cells)와 기질세포(stromal cells)의 분리는 Satyawaroop 등(1979)의 방법에 기초를 두었다. 자궁내막에서 상피세포와 기질세포의 순수 분리도를 확인하고, 불멸화된 기질세포에서 SV40 large T antigen을 확인하기 위하여 면역형광 염색(immunocytochemistry)과 Western blot 기법을 이용하였다. 정상 기질세포의 경우 subconfluence (60%) 상태에서 transfection을 진행하였다. 순수 분리된 plasmid DNA와 Qiagen 사의 superfect를 이용하여 transfection을 실시하였다. 결 과: 본 연구에서 우리는 두 가지 형태의 자궁내막 세포의 분리 및 배양에 성공하였다. 상피세포는 다면체의 형태를 띠며, 선(grandular)조직의 조각으로부터 나선형으로 자란다.기질 세포는 길쭉한 형태를 띠며, 상피세포에 비해 오래 살고, 빠르게 증식하여 나란한 형태로 배열된 세포 다발(cell bundle)을 형성한다. 이렇게 분리된 세포들은 95%의 균질성을 보였으며, 면역형광염색과 western blot을 통해 확인 하였다. 한편 SV40(Simian Virus 40) large T 항원을 암호화 하고 있는 염기 서열을 포함한 플라스미드 벡터로 안정적인 트랜스펙션을 시킴으로써 불멸화 된 자궁내막의 기질 세포주를 확립하였다. 불멸화 된 세포는 그 세포가 유래한 정상의 세포와 동일한 표현형을 가지고 있었다. 결 론: 본 연구에서, 우리는 자궁내막에서 상피세포(epithelial cells)과 기질세포(stromal cells)를 분리하여 배양법을 확립하였다. 동시에 SV40 large T antigen을 이용하여 불멸화된 세포주를 확립하였다. 이렇게 확립된 세포주는 자궁의 생리작용 연구 및 자궁내막증(Endometriosis)과 자궁암(Endometrial cancer) 등과 같은 여러 자궁관련 질병 연구에 많은 도움이 될 것으로 사료된다.

• Journal of Korea Water Resources Association
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• v.48 no.9
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• pp.729-741
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• 2015

This study examined the applicability of MBLRP (Modified Bartlett-Lewis Rectangular Pulse) rainfall generation model for an urban flood simulation which is a type of Poisson cluster rainfall generation model. This study constructed XP-SWMM model for Namgajwa area of Hongjecheon basin, which is a two-dimensional pipe network-surface flood simulation program and computed a flood discharge and a flooded area with input data of synthetic rainfall time series of 200 years that were generated by the MBLRP model. This study compared the data of flood with synthetic rainfall and flood with corresponding values which were based on design rainfall. The results showed that the flooded area computed with MBLRP model was somewhat smaller than the corresponding values on the basis of the design. A degree of underestimation was from 8% (5 year) to 34% (200 year) and the degree of underestimation increased as a return period increased. This study is meaningful in that it proposes methodology that enables quantifiability of uncertain variables which are related to a flooding through Monte Carlo analysis of urban flooding simulation and applicability and limitations thereof.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.9-14
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• 2004

Rational sense is affected by emotion. If we add the factor of estimated emotion by environment information into robots, we may get more intelligent and human-friendly robots. However, various sensory information and pattern classification are prescribed for robots to learn emotion so that the networks are suitable for the necessity of robots. Neural network has superior ability to extract character of system but neural network has defect of temporal cross talk and local minimum convergence. To solve the defects, many kinds of modular neural networks have been proposed because they divide a complex problem into simple several subproblems. The modular neural network, introduced by Jacobs and Jordan, shows an excellent ability of recomposition and recombination of complex work. On the other hand, the recurrent network acquires state representations and representations of state make the recurrent neural network suitable for diverse applications such as nonlinear prediction and modeling. In this paper, we applied recurrent network for the expert network in the modular neural network structure to learn data pattern based on emotional assessment. To show the performance of the proposed network, simulation of learning the environment and behavior pattern is proceeded with the real time implementation. The given problem is very complex and has too many cases to learn. The result will show the performance and good ability of the proposed network and will be compared with the result of other method, general modular neural network.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.6
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• pp.749-754
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• 2011

In this study, we propose the design of optimized pRBFNNs-based face recognition system using two-dimensional Image and ASM algorithm. usually the existing 2 dimensional face recognition methods have the effects of the scale change of the image, position variation or the backgrounds of an image. In this paper, the face region information obtained from the detected face region is used for the compensation of these defects. In this paper, we use a CCD camera to obtain a picture frame directly. By using histogram equalization method, we can partially enhance the distorted image influenced by natural as well as artificial illumination. AdaBoost algorithm is used for the detection of face image between face and non-face image area. We can butt up personal profile by extracting the both face contour and shape using ASM(Active Shape Model) and then reduce dimension of image data using PCA. The proposed pRBFNNs consists of three functional modules such as the condition part, the conclusion part, and the inference part. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of RBFNNs is represented as three kinds of polynomials such as constant, linear, and quadratic. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. The proposed pRBFNNs are applied to real-time face image database and then demonstrated from viewpoint of the output performance and recognition rate.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.174-179
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• 2015

Failure Mode and Effects Analysis (FMEA) has been used by Dynamic Positioning (DP) system for risk and reliability analysis. However, there are limitations associated with its implementation in offshore project. 1) since the failure data measured from the SCADA system is missing or unreliable, assessments of Severity, Occurrence, Detection are based on expert's knowledge; 2) it is not easy for experts to precisely evaluate the three risk factors. The risk factors are often expressed in a linguistic way. 3) the relative importance among three risk factors are rarely even considered. To solve these problems and improve the effectiveness of the traditional FMEA, we suggest a Fuzzy-FMEA method for risk and failure mode analysis in Dynamic Positioning System of offshore. The information gathered from DP FMEA report and DP FMEA Proving Trials is expressed using fuzzy linguistic terms. The proposed method is applied to an offshore Dynamic Positioning system, and the results are compared with traditional FMEA.

• Korean Journal of Construction Engineering and Management
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• v.10 no.6
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• pp.3-12
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• 2009

In order to effectively distribute the resources, it is very critical to understand the status or progress of construction site quickly and accurately. Augmented Reality (AR) can provide this situation with information which is convenient and intuitive. Conventional implementation of AR in outdoor or construction site condition requires additional sensors or markers to track the position and direction of camera. This research is aimed to develop the technologies which can be utilized in gathering the information of constructing or constructed buildings and structures. The AR technique that does not require additional devices except for the camera was implemented to simplify the system and improve utility in inaccessible area. In order to do so, the position of camera's perspective center and direction of camera was estimated using exterior orientation techniques. And 3D drawing model of building was projected and overlapped using this information. The result shows that by using this technique, the virtual drawing image was registered on real image with few pixels of error. The technique and procedure introduced in this paper simplifies the hardware organization of AR system that makes it easier for the AR technology to be utilized with ease in construction site. Moreover, this technique will help the AR to be utilized even in inaccessible areas. In addition to this, it is expected that combining this technique and 4D CAD technology can provide the project manager with more intuitive and comprehensive information that simplifies the monitoring work of construction progress and planning.