• Structural Engineering and Mechanics
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• v.56 no.1
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• pp.1-25
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• 2015

The main goal of this study was to develop a convenient strengthening technique for retrofitting of reinforced concrete members. For this purpose a new retrofitting material so-called prefabricated-HSPRCC (high performance steel plate reinforced cementitious composite) panel was developed by using high performance concrete and perforated steel plate. Prefabricated-HSPRCC composes advantages of steel and high performance concrete. The prefabricated-HSPRCC panels were either only bonded on the specimens using epoxy mortar or anchored to the specimen by steel bolts as well as bonding. Effect of different variations such as prefabricated-HSPRCC panel thicknesses, steel plate thicknesses, puncture orientation of perforated steel plate, existence of anchorage etc. were studied through a simple experimental work. The behaviour of the specimens under vertical point load was also studied by using simple mechanics. The retrofitted specimens were found to exhibit much better performance both in terms of strength and deformation capability. The anchorage application was found to positively affect this improved performance. Furthermore, as a result of the tests the best parameters of prefabricated-HSPRCC plate for improving strength and deformation capacities were determined.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.233-234
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• 2011

액션러닝은 팀기반으로 실제의 문제를 해결하는 교수-학습방법이다. 최근 대학에서 액션러닝을 도입하여 대학의 현장적합성을 반영하고, 이론과 실제를 겸비한 교육으로의 변화를 추구하는 움직임이 일어나고 있다. 그러나 학습자들이 강의식 수업 또는 다른 팀기반 학습에 비하여 많은 학습노력에 대한 부담감을 느끼고 있으며 교수자들이 이에 대한 수업의 불성실한 참여 및 불만족을 우려하고 있다. 이에 이 연구에서는 학습자들의 성취목표지향성이 학습과정의 개인 노력과 팀노력 그리고 결과만족을 설명할 수 있을 것이라 보고 이들의 관계를 탐색하였다. 분석 결과 숙달접근의 학습자들은 학습노력을 많이 기울이며 결과에도 만족하는 것으로 나타났으며 회피접근보다는 수행접근의 학습자들이 학습 노력을 많이 기울이며 학습결과도 만족하는 것으로 해석되었다. 따라서 액션러닝을 설계하고 운영할 때, 수업방법의 의미와 학습노력 및 결과에 대한 의미부여와 공감을 충분히 하여 숙달접근이 아닌 다른 성취 목표지향성을 보이는 학습자들을 독려할 수 있어야 하겠다.

• Steel and Composite Structures
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• v.35 no.6
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• pp.729-737
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• 2020

The goal of this study is to investigate dynamic responses of laminated composite beams under a moving load with thermal effects. The governing equations of problem are derived by using the Lagrange procedure. The transverse-shear strain and rotary inertia are considered within the Timoshenko beam theory. The material properties of laminas are considered as the temperature dependent physical property. The differential equations of the problem are solved by the Ritz method. The solution step of dynamic problem, the Newmark average acceleration method is used in the time history. A compassion study is performed for accuracy of used formulations and method. In the numerical results, the effects of velocity of moving load, temperature values, the fiber orientation angles and the stacking sequence of laminas on the dynamic responses of the composite laminated beam are investigated.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.566-571
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• 1994

This paper presents in image-based visual servo control scheme for tracking a workpiece with a hand-eye coordinated robotic system using the fuzzy-neural-network. The goal is to control the relative position and orientation between the end-effector and a moving workpiece using a single camera mounted on the end-effector of robot manipulator. We developed a fuzzy-neural-network that consists of a network-model fuzzy system and supervised learning rules. Fuzzy-neural-network is applied to approximate the nonlinear mapping which transforms the features and theire change into the desired camera motion. In addition a control strategy for real-time relative motion control based on this approximation is presented. Computer simulation results are illustrated to show the effectiveness of the fuzzy-neural-network method for visual servoing of robot manipulator.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.180-182
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• 2005

Fingerprint-based identification is known to be used for a very long time. Owing to their uniqueness and immutability, fingerprints are today the most widely used biometric features. Therefore, recognition using fingerprints is one of the safest methods as a way of personal identification. But fingerprint identification system has a critical weakness. Since the fingerprint identification time dramatically increase when we compare the unknown fingerprint's minutiae with fingerprint database's minutiae. In this paper, a ridge orientation extraction method using Index table is proposed to solve the problem. The goal of fast direction image extraction is to reduce the identification time and to improve the clarity of ridge and valley structures of input fingerprint image.

• International Journal of Costume and Fashion
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• v.16 no.2
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• pp.101-120
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• 2016

The primary purpose of this study is to explore the daily lives of gay men and assess their interests in fashion and appearance management with the goal of better understanding the roles or meanings of fashion in their lives. In-depth interview method was adopted and the responses were analyzed qualitatively. Six homosexual men were interviewed, and the outcome of each conversation was recorded and analyzed; each man had a different background and thus showed different behavioral patterns. The life patterns distinct to Korean gays, the importance the highly patriarchal society places on family lineage and mandatory military service, for example, were discussed. Even though the interviewees asserted that their interests in fashion is not related to their sexual orientation, fashion was utilized as a means of self-expression by these gay men.

• Ocean Systems Engineering
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• v.1 no.3
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• pp.195-205
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• 2011

A method for calibrating a laser profiling system for seafloor micro-topography measurements is described. The system consists of a digital camera and an arrangement of six red lasers that are mounted as a unit on a remotely operated vehicle (ROV). The lasers project as parallel planes onto the seafloor, creating profiles of the local topography that are interpreted from the digital camera image. The goal of the calibration was to determine the plane equations for the six lasers relative to the camera. This was accomplished in two stages. First, distortions in the digital image were corrected using an interpolation method based on a virtual pinhole camera model. Then, the laser planes were determined according to their intersections with a calibration target. The position and orientation of the target were obtained by a registration process. The selection of the target shape and size was found to be critical to a successful calibration at sea, due to the limitations in the manoeuvrability of the ROV.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.10-15
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• 2012

The Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is diagnosis of the spondylolisthesis from biomedical data that is derived from the shape and orientation of the pelvis and lumbar spine. The data set has six attributes including pelvic incidence, pelvic tilt, lumbar lordosis angle, sacral slope, pelvic radius and grade of spondylolisthesis and two class including normal and abnormal. From University of California at Irvine machine learning repository, 100 normal and 150 spondylolisthesis patient's data were used for this study. Mahalanobis Taguchi System (MTS) application process and the diagnosis results were described in this paper.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1420-1423
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• 2002

The classification and recognition of two-dimensional trademark patterns independently of their position, orientation, size and scale by proposing two feature vectors has been discussed. The paper presents experimentation on two feature vectors showing size- invariance and scale-invariance respectively. Both feature vectors are equally invariant to rotation as well. The feature extraction is based on local as well as global statistics of the image. These feature vectors have appealing mathematical simplicity and are versatile. The results so far have shown the best performance of the developed system based on these unique sets of feature. The goal has been achieved by segmenting the image using connected-component (nearest neighbours) algorithm. Second part of this work considers the possibility of using back propagation neural networks (BPN) for the learning and matching tasks, by simply feeding the feature vectosr. The effectiveness of the proposed feature vectors is tested with various trademarks, not used in learning phase.

• The Transactions of the Korea Information Processing Society
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• v.7 no.3
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• pp.1000-1012
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• 2000

There are many factors for face recognition. Two of those are orientation and brightness of illumination. In early studies of face recognition, with fixing these factors to good conditions th goal of research was focused on improving recognition rate itself. But they are very important factors to be solved for implementing face recognition system. In this paper, two methods wer proposed to minimize the influence of illumination. One is the local difference filter to reduce the influence fo variation of illumination. The other is weight function considering the horizontal difference of intensity. Applying tow proposed methods, the resultant recognition rate revealed 86.5% for 275 test images.