• 제목/요약/키워드: Characteristic of task

검색결과 236건 처리시간 0.023초

$CO_2$ 레이저 원격 용접시스템을 이용한 800Mpa급 고장력강의 용입특성 (The characteristic of penetration on the 800Mpa class high-tensile steel using remote welding system by $CO_2$ laser)

  • 송문종;이영주;송영채;정성문;정병훈;이문용
    • 한국레이저가공학회:학술대회논문집
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    • 한국레이저가공학회 2006년도 추계학술발표대회 논문집
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    • pp.17-20
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    • 2006
  • In the remote welding system using $CO_2$ laser, laser beam is rapidly deflected by moving mirrors of scanner system and has focusable distance over 1000mm from workpiece. From such arrangement, various advantages and disadvantages arise. Remote welding is a highly efficient laser process. As the mirrors of the scanner system allow positioning speeds exceeding 700m/s, it becomes possible to reduce the welding cycle time. On the other hand, as there no the provision of shielding gas which is normally required for beam powers exceeding 3kW, may become difficult task. Therefore, In this study, the influence of the various penetration of back bead by the different laser welding speed on the weld seam formation without shielding gas was investigated.

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열분해-가스크로마토그래피/질량분석법에 의한 가황고무중의 유기첨가제의 직접분석 (Direct Analysis of Organic Additives in Cured Rubber by Pyrolysis-Gas Chromatography/Mass Spectrometry)

  • 김승욱;허귀석;이계호
    • 대한화학회지
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    • 제41권10호
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    • pp.524-534
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    • 1997
  • 고무가황체는 고분자인 천연고무 및 합성고무에 여러 가지 유기첨가제를 배합하여 만든다. 이와 같은 배합고무의 분석은 여러 가지 다른 성질을 갖는 다양한 첨가제들로 인하여 많은 전처리 과정을 거쳐야 하므로 그 분석이 용이하지 않다. 이를 극복하기 위하여 열분해 가스크로마토그래피질량분석법(Pyrolysis Gas Chromatography-Mass Spectrometry)을 이용하여 고무가황체 중의 유기 고무약품들의 직접분석을 시도하였다. 점착제인 쿠마론-인덴수지(coumarone-indene resin $C-90^{TM}$), 접착제인 알킬페놀 레조시놀 포름알데히드 수지, 가류지연제 등의 고무첨가제의 열분해과정 및 열분해체들의 질량스펙트럼들을 확인하였고 이를 통하여 복잡한 구성 성분으로 이루어진 가황고무 중에서 이들 배합제의 직접분석이 가능하였다.

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조선시대(朝鮮時代) 곤룡포(袞龍袍) 연구 (A Study on Gollyongpo in the Joseon Dynasty)

  • 금종숙;고부자
    • 복식문화연구
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    • 제16권5호
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    • pp.937-954
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    • 2008
  • The Gollyongpo was worn by the King and the Crown Prince in Joseon dynasty as an ordinary wear. The research on the Gollyongpo is focused on the historic record of Joseon dynasty, Joseonwangjosillok. This study will analyze literature, paintings and relics. First, I have researched Ming's(China) representative document daminghuidian, and excavated relics from the tomb dingling. I examined the usage and characteristic, through various remaining literature data, artifacts and paintings. The Gollyongpo was worn for the various ceremonies as well as an ordinary wear. According to the periode, the style and color had changed. The King wore the red Gollyongpo with 5 clawed dragon pattern, the Crown Prince wore black one with 4 clawed pattern, and the eldest son of the Crown Prince wore black one with 3 clawed dragon emblem. After the Daehan Empire, the Emperor wore gold outfit and the Crown Prince wore red outfit. Sonyongpo recorded in the Gungjungbalgi is concerned as Gollyongpo with narrow straight sleeve, one of the Sejong University Museum's Collection. There is some Possibility that the Gollyongpo painted in Bongsado is woven with dragon design, I would leave this matter for next research task.

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SVM을 이용한 군집로봇의 행동학습 및 진화 (Behavior Learning and Evolution of Swarm Robot System using Support Vector Machine)

  • 서상욱;양현창;심귀보
    • 한국지능시스템학회논문지
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    • 제18권5호
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    • pp.712-717
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    • 2008
  • 군집 로봇시스템에서 개개의 로봇은 스스로 주위의 환경과 자신의 상태를 스스로 판단하여 행동하고, 필요에 따라서는 다른 로봇과 협조를 통하여 어떤 주어진 일을 수행할 수 있어야 한다. 따라서 개개의 로봇은 동적으로 변화하는 환경에 잘 적응할 수 있는 학습과 진화능력을 갖는 것이 필수적이다. 본 논문에서는 구조적 위험 최소화를 기반으로 한 SVM을 이용 한 강화학습과 분산유전알고리즘을 이용한 새로운 자율이동로봇의 행동학습 및 진화방법을 제안한다. 또한 개개의 로봇이 통신을 통하여 염색체를 교환하는 분산유전알고리즘은 각기 다른 환경에서 학습한 우수한 염색체로부터 자신의 능력을 향상시킨다. 특히 본 논문에서는 진화의 성능을 향상시키기 위하여 SVM을 기반으로 한 강화학습의 특성을 이용한 선택 교배 방법을 채택하였다.

실시간 시스템 검증을 위한 지역모형 검사 (Local Model Checking for Verification of Real-Time Systems)

  • 박재호;김성길;황선호;김성운
    • 한국멀티미디어학회논문지
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    • 제3권1호
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    • pp.77-90
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    • 2000
  • 실시간 검증은 명세와 요구사항과의 논리적 정확성 뿐만 아니라 시간적 정확성을 확인하는 일련의 과정이다. 하지만 시간의 무한성에 의해 시스템 상태가 무한히 증가할 수 있는 상태 폭발 문제가 검증과정에서 중요한 문제점이 되고 있다. 본 논문에서는 형식 검증에 기반을 두며, 시스템의 행위 측면을 시간 오토마타로 기술한 시스템 모델이 Timed mu-calculus로 표현된 시스템의 특성에 만족하는지의 여부를 통해 명세의 완전성을 확인하는 실시간 검증 비법을 기술한다. 이를 위해 초기상태의 논리값에 초점을 두어 검증과정에서 필요로 하는 노드로만 Product Graph를 구성하여 노드 값을 결정해나가는 지역모형검사 기법에 대해 제안한다. 이 방법은 모델의 모든 상태를 조사하지 않으므로 상태 폭발 문제를 최소화 시킬 수 있어 실시간 시스템 검증에 효과적으로 적용이 가능하다.

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The Relationship between Learner and Interest in Teachable Characteristic Agent

  • 권순구;우연경;조은수;정윤경;전훈;연은모;정해천;박성민;소연희;김성일
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2008년도 학술대회 2부
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    • pp.78-84
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    • 2008
  • The traditional intelligent teachable system has mainly focused on knowledge and cognition. It has overlooked motivational aspects of learners. Motivation is an important factor in learning making learners to have interests in a given task and persist it. Although the systems include cognitive as well as motivational factors, the effects of ITS on interest are not equivalent depending on individual characteristics. This study is to investigate how influence learners' response patterns to their interests and also examined effects of individual characteristics on interest in teachable agent (TA). In this experiment, we used KORI which is a new type of ITS that learner teach computer agent based on the instructional method of learning by teaching'. In the beginning of experiments, metacognition, achievement goal orientation and self-efficacy were measured as individual characteristics. Then, participants were asked to use KORI at home during 10 days. After using KORI the level of interest were measured. The result showed that metacognition was positively related with interest, whereas performance goal orientation and mastery goal orientation were negatively related to interest. It suggests t hat different individual characteristics should be considered to promote learners' intrinsic motivation in TA.

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Q-learning과 Cascade SVM을 이용한 군집로봇의 행동학습 및 진화 (Behavior Learning and Evolution of Swarm Robot System using Q-learning and Cascade SVM)

  • 서상욱;양현창;심귀보
    • 한국지능시스템학회논문지
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    • 제19권2호
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    • pp.279-284
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    • 2009
  • 군집 로봇시스템에서 개개의 로봇은 스스로 주위의 환경과 자신의 상태를 스스로 판단하여 행동하고, 필요에 따라서는 다른 로봇과 협조를 통하여 어떤 주어진 일을 수행할 수 있어야 한다. 따라서 개개의 로봇은 동적으로 변화하는 환경에 잘 적응할 수 있는 학습과 진화능력을 갖는 것이 필수적이다. 본 논문에서는 SVM을 여러 개 이용한 강화학습과 분산유전알고리즘을 이용한 새로운 자율이동로봇의 행동학습 및 진화학습을 제안한다. 또한 개개의 로봇이 통신을 통하여 염색체를 교환하는 분산유전알고리즘은 각기 다른 환경에서 학습한 우수한 염색체로부터 자신의 능력을 향상시킨다. 특히 본 논문에서는 진화의 성능을 향상시키기 위하여 Cascade SVM을 기반으로 한 강화학습의 특성을 이용한 선택 교배방법을 채택하였다.

Circuit Dynamics in a School Facility based on Home-base Area

  • 권준범;김덕수
    • 교육시설 논문지
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    • 제22권2호
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    • pp.15-22
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    • 2015
  • The latest educational curriculum in Korea started in 1997, and the 'Departmentalized Classroom System', which is a distinguishing modern concept compared with conventional pedagogy, has already been used in several high schools since 2009 and will be expanded to all middle school and high schools by 2014. However, most Korean schools are not yet physically ready to implement the new system. Moreover, despite many trials during the last three years, the characteristic and architectural function of a place called 'Home-base' is still vague and has caused many controversial arguments. In fact, a large number of home-base designs failed to accomplish their original task and there are counter evidences that shows reality was quite different over architect's personal and subjective radical plan. Therefore, this study seeks to introduce and objective scientific method based on an mathematical model of an optimized algorithm for planning a home-base area in a school design. The algorithm developed in this study is designed to determine the most efficient location for a home-base area to minimize the distance students typically need to walk.

Multimedia를 활용(活用)한 동기적(動機的) - 교수적(敎授的) 개별화(個別化) 수업전략(授業戰略) (Individualized Motivational & Instructional Teaching Strategy using Multimedia)

  • 윤현상
    • 수산해양교육연구
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    • 제11권1호
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    • pp.43-58
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    • 1999
  • To instruct in accordance with learner's trait & preceding knowledge, letting the learner control the learning activities is the important task of educator & major goal of the Education Department this year. This article intends to provide useful Instructional Model for the teachers in fisheries marine high school, when they design the individualized teaching model using motivation. One of the major reason for the fisheries marine high school students' low learning achievement is due to the neglecting motivation elements in teaching - learning processes. Recently, with assistance of the information communication technology development, various teaching methods such as Individualized Multimedia Mediated Instruction, Internet Instruction, have come to the major method in activating motivation and computer-mediated instruction considering the learner's individual difference is the useful tools for the instructional efficiency. Because current navigation text book of fisheries marine high school have special characteristic considering the spacial context & time series from departing port to entering port, Teachers can maximize learner's learning accomplishment by using individualized multimedia & providing similar situation like a real navigation(simulating), representing this text characteristics. Thus this paper searches for the specifications of Keller's Motivation Model & Sweeter's Tutorial Model to solve instructional efficiency problems in fisheries marine high school & developed an efficient instructional design by integrating two models.

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Texture Analysis and Classification Using Wavelet Extension and Gray Level Co-occurrence Matrix for Defect Detection in Small Dimension Images

  • Agani, Nazori;Al-Attas, Syed Abd Rahman;Salleh, Sheikh Hussain Sheikh
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.2059-2064
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    • 2004
  • Texture analysis is an important role for automatic visual insfection. This paper presents an application of wavelet extension and Gray level co-occurrence matrix (GLCM) for detection of defect encountered in textured images. Texture characteristic in low quality images is not to easy task to perform caused by noise, low frequency and small dimension. In order to solve this problem, we have developed a procedure called wavelet image extension. Wavelet extension procedure is used to determine the frequency bands carrying the most information about the texture by decomposing images into multiple frequency bands and to form an image approximation with higher resolution. Thus, wavelet extension procedure offers the ability to robust feature extraction in images. Then the features are extracted from the co-occurrence matrices computed from the sub-bands which performed by partitioning the texture image into sub-window. In the detection part, Mahalanobis distance classifier is used to decide whether the test image is defective or non defective.

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