• Title/Summary/Keyword: Characteristic of task

Search Result 236, Processing Time 0.024 seconds

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

  • Song, M.J.;Lee, Y.J.;Song, Y.C.;Jung, S.M.;Jung, B.H.;Lee, M.Y.
    • Proceedings of the Korean Society of Laser Processing Conference
    • /
    • 2006.11a
    • /
    • pp.17-20
    • /
    • 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.

  • PDF

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

  • Kim, Seung Wook;Heo, Gwi Suk;Lee, Gae Ho
    • Journal of the Korean Chemical Society
    • /
    • v.41 no.10
    • /
    • pp.524-534
    • /
    • 1997
  • Analysis of additives in cured rubber is often a difficult task for analytical chemists because of a wide variety of complex components. Conventional analyses of additives and rubbers have been done in multistep, off-line processes with large sample size and extensive sample preparations. The coumarone-indene resin, resorcinol-formaldehyde resin, and prevulcanization inhibitor have been characterized by their pyrolysis pathways and mass spectra of characteristic pyrolyzates. Pyrolysis Gas Chromatography/Mass Spectrometry (Py-GC/MS) was used in the identification of additives without any sample pretreatment. This result shows that several organic additives in cured rubber can be directly analyzed.

  • PDF

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

  • Keum, Jong-Suk;Koh, Bou-Ja
    • The Research Journal of the Costume Culture
    • /
    • v.16 no.5
    • /
    • pp.937-954
    • /
    • 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.

  • PDF

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

  • Seo, Sang-Wook;Yang, Hyun-Chang;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.18 no.5
    • /
    • pp.712-717
    • /
    • 2008
  • In swarm robot systems, each robot must act by itself according to the its states and environments, and if necessary, must cooperate with other robots in order to carry out a given task. Therefore it is essential that each robot has both learning and evolution ability to adapt the dynamic environments. In this paper, reinforcement learning method with SVM based on structural risk minimization and distributed genetic algorithms is proposed for behavior learning and evolution of collective autonomous mobile robots. By distributed genetic algorithm exchanging the chromosome acquired under different environments by communication each robot can improve its behavior ability. Specially, in order to improve the performance of evolution, selective crossover using the characteristic of reinforcement learning that basis of SVM is adopted in this paper.

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

  • 박재호;김성길;황선호;김성운
    • Journal of Korea Multimedia Society
    • /
    • v.3 no.1
    • /
    • pp.77-90
    • /
    • 2000
  • Real-Time verification is a procedure that verifies the correctness of specification related to requirement in time as well as in logic. One serious problem encountered in the verification task is that the state space grows exponentially owing to the unboundedness of time, which is termed the state space explosion problem. In this paper, we propose a real-time verification technique checking the correctness of specification by showing that a system model described in timed automata is equivalent to the characteristic of system property specified in timed modal-mu calculus. For this, we propose a local model checking method based on the value of the formula in initial state with constructing product graph concerned to only the nodes needed for verification process. Since this method does not search for every state of system model, the state space is reduced drastically so that the proposed method can be applied effectively to real-time system verification.

  • PDF

The Relationship between Learner and Interest in Teachable Characteristic Agent

  • Kwon, Soon-Goo;Woo, Yeon-Kyung;Cho, Eun-Soo;Chung, Yoon-Kyung;Jeon, Hun;Yeon, Eun-Mo;Jung, Hye-Chun;Park, Sung-Min;So, Yeon-Hee;Kim, Sung-Il
    • 한국HCI학회:학술대회논문집
    • /
    • 2008.02b
    • /
    • pp.78-84
    • /
    • 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.

  • PDF

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

  • Seo, Sang-Wook;Yang, Hyun-Chang;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.19 no.2
    • /
    • pp.279-284
    • /
    • 2009
  • In swarm robot systems, each robot must behaves by itself according to the its states and environments, and if necessary, must cooperates with other robots in order to carry out a given task. Therefore it is essential that each robot has both learning and evolution ability to adapt the dynamic environments. In this paper, reinforcement learning method using many SVM based on structural risk minimization and distributed genetic algorithms is proposed for behavior learning and evolution of collective autonomous mobile robots. By distributed genetic algorithm exchanging the chromosome acquired under different environments by communication each robot can improve its behavior ability. Specially, in order to improve the performance of evolution, selective crossover using the characteristic of reinforcement learning that basis of Cascade SVM is adopted in this paper.

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

  • Kwun, Joon-Bum;Kim, Duk-Soo
    • Journal of the Korean Institute of Educational Facilities
    • /
    • v.22 no.2
    • /
    • pp.15-22
    • /
    • 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.

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

  • Yoon, Hyun-Sang
    • Journal of Fisheries and Marine Sciences Education
    • /
    • v.11 no.1
    • /
    • pp.43-58
    • /
    • 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.

  • PDF

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
    • /
    • 2004.08a
    • /
    • pp.2059-2064
    • /
    • 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.

  • PDF