• 제목/요약/키워드: composing machine

검색결과 32건 처리시간 0.031초

추상 예술로서의 서양 음악 (Western Music as an Abstract Art Form)

  • 윤중선;황성호;주동욱;하영명
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 추계학술대회 논문집
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    • pp.450-455
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    • 1996
  • Emotional intelligence is investigated in terms of a composing machine as a modern abstract art form. Music has the longest tradition of being an art form which has an explicit formal foundation. Formal aspects of traditional and modern music theory are explained in terms of simple numerical relationship and illustrated with examples. The exploration of art in the view of intelligence, information and structure will restore the balanced sense of art and science which seeks happiness in life.

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무 봉제 완벌 편기의 생산 방식에 관한 연구 -WHOLE GARMENT 편기를 중심으로- (A Study on Knitting Method of Seamless Knitted Garment Knitting Machine -Focused on Whole Garment Knitting Machine-)

  • 기희숙;김영주;서미아
    • 복식문화연구
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    • 제13권2호
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    • pp.189-199
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    • 2005
  • The purposes of this study are to see a manufacturing process on knit by comparison, and to present whole garment knitting machine different from the traditional method of the production by using the whole garment system. The characteristics of each stage were examined through SDS-one, Shimaseiki Design CAD System and the whole garment knitting machine. The whole garment knitting machine as a method of composing a suit of knitting product is a way of making creative knitting fashion, which also can be used as a basic material for the further study on the whole garment knitting machine. Eventually, it is expected that this machine can satisfy the knit wearers' various needs by showing more useful method to knit designers.

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A Machine-Learning Based Approach for Extracting Logical Structure of a Styled Document

  • Kim, Tae-young;Kim, Suntae;Choi, Sangchul;Kim, Jeong-Ah;Choi, Jae-Young;Ko, Jong-Won;Lee, Jee-Huong;Cho, Youngwha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권2호
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    • pp.1043-1056
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    • 2017
  • A styled document is a document that contains diverse decorating functions such as different font, colors, tables and images generally authored in a word processor (e.g., MS-WORD, Open Office). Compared to a plain-text document, a styled document enables a human to easily recognize a logical structure such as section, subsection and contents of a document. However, it is difficult for a computer to recognize the structure if a writer does not explicitly specify a type of an element by using the styling functions of a word processor. It is one of the obstacles to enhance document version management systems because they currently manage the document with a file as a unit, not the document elements as a management unit. This paper proposes a machine learning based approach to analyzing the logical structure of a styled document composing of sections, subsections and contents. We first suggest a feature vector for characterizing document elements from a styled document, composing of eight features such as font size, indentation and period, each of which is a frequently discovered item in a styled document. Then, we trained machine learning classifiers such as Random Forest and Support Vector Machine using the suggested feature vector. The trained classifiers are used to automatically identify logical structure of a styled document. Our experiment obtained 92.78% of precision and 94.02% of recall for analyzing the logical structure of 50 styled documents.

섬유강화 복합재료, 고분자 포움 및 레진 콘크리트로 구성된 샌드위치 구조 설계를 위한 파라메트릭 연구 (Parametric study on design of sandwich structures composing of fibre reinfoced composites, polymer foam and resin concrete)

  • 김대일;장승환
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2005년도 춘계학술대회 논문집
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    • pp.429-434
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    • 2005
  • In this paper sandwich structures like beams and plates are optimised by using parametric study. The structures are composed of fibre reinforced composites for facial material and resin concrete and PVC foam for core materials. The stacking sequences and thickness of the composites are controlled as major parameters to find out the optimal condition for machine tool components. For the plate structure for machine tool bed composites-skined sandwich structure which has several ribs are proposed to enhance both directional bending stiffnesses at the same time. From the results optimal configuration and materials for high precesion machine tools are proposed.

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센서리스 BLDC 모터의 벡터제어 알고리즘의 H/W 설계를 통한 세탁기 구동시스템의 응용 (Application of washing machine Operating System with Vector Control Algorithm of Sensorless BLDC motor by H/W)

  • 복강규;이진휘;장봉안;마쯔모토;손창민
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.579-583
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    • 2005
  • This paper is study for design SOC composing space vector control algorithm of sensorless BLDC motor by H/W and apply this to operating machanism of washing machine system. it is study that increases control efficiency than S/W control algorithm and enhances response for change of system and authoritativeness of controller. Designed so that can compose controller of most suitable in dynamic characteristic of system by design Parameters of each controller to independent block for SOC design connecting to 8051 cores. For control Sensorless BLDC motor to drive system of washing machine, applied to H/W SVPWM control, so improved authoritativeness of control algorithm and control effectiveness than S/W control algorithm

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음악에서의 디지탈 미학 (A digital aesthetic in music)

  • 윤증선
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.130-133
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    • 1996
  • An exploration for an emotional intelligence paradigm has been delineated. Emotional intelligence is investigated in terms of composing machine as a modern abstract art. The system consists of interface, plan and performance modules. Design concepts of the system are modular, open, and user friendly to ensure the overall performance. The exploration of art in the view of intelligence, information and structure will restore the balanced sense of the art and the science seek the happiness of life. The investigations of emotional intelligence will establish the foundations of intelligence, information and control technologies.

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The Creation and Placement of VMs and Tasks in Virtualized Hadoop Cluster Environments

  • Kim, Tae-Won;Chung, Hae-jin;Kim, Joon-Mo
    • 한국멀티미디어학회논문지
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    • 제15권12호
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    • pp.1499-1505
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    • 2012
  • Recently, the distributed processing system for big data has been actively investigated owing to the development of high speed network and storage technologies. In addition, virtual system that can provide efficient use of system resources through the consolidation of servers has been increasingly recognized. But, when we configure distributed processing system for big data in virtual machine environments, many problems occur. In this paper, we did an experiment on the optimization of I/O bandwidth according to the creation and placement of VMs and tasks with composing Hadoop cluster in virtual environments and evaluated the results of an experiment. These results conducted by this paper will be used in the study on the development of Hadoop Scheduler supporting I/O bandwidth balancing in virtual environments.

항적 데이터 학습을 통한 추천 항로 구성에 관한 연구 (Composing Recommended Route through Machine Learning of Navigational Data)

  • 김주성;정중식;이성용;이은석
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2016년도 춘계학술대회
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    • pp.285-286
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    • 2016
  • 해상교통관제센터에 의해 실시간으로 수집되는 선박의 항해 데이터를 바탕으로 선박 항적 패턴 인식을 수행하고 이를 바탕으로 항적 모델을 추출하여 사전에 선위를 예측하는 기법을 제안한다. 항적 데이터의 처리와 가공, 항적 모델링을 위하여 Support Vector Regression 알고리즘이 사용되었으며, 적정 파라미터 선정을 위하여 k-fold cross validation과 grid search가 사용되었다. 제안된 항적 데이터 모델링 기법을 통하여 사전에 선박의 선위를 예측하여 해상교통과제사의 의사결정을 지원하고자 한다.

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유한상태기계를 사용한 비둘기들에 대한 집단행동의 설계 및 구현 (Design and Implementation of Group Behaviors for Doves by Using a Finite State Machine)

  • 이재문;조세홍
    • 한국게임학회 논문지
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    • 제10권3호
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    • pp.93-102
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    • 2010
  • 본 논문은 비둘기들의 다양한 상태에 대하여 집단행동을 자연스럽게 시뮬레이션하는 시스템을 설계하고 구현하는 것이다. 이것을 하기 위하여 비둘기들의 집단행동은 '날아가기', '내려앉기', '먹이먹기' 및 '날아오르기'와 같이 4개의 액션모델로 나뉘었다. 각 액션모델을 구성하는 조종힘들이 찾아졌으며, 유한상태기계 기법을 사용하여 설계되었다. 설계된 시스템은 오우거 엔진과 집적하여 구현되었다. 구현된 시스템의 시뮬레이션으로부터 비둘기들의 자연스러운 집단행동을 표현하는 조종힘에 대한 다양한 파라미터 값들을 찾을 수 있었다.

머신러닝포키즈를 활용한 데이터 편향 인식 학습: AI야구심판 사례 (Learning Method of Data Bias employing MachineLearningforKids: Case of AI Baseball Umpire)

  • 김효은
    • 정보교육학회논문지
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    • 제26권4호
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    • pp.273-284
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    • 2022
  • 본고의 목표는 데이터 편향 인식 교육에서 기계학습 플랫폼의 사용을 제안하는 것이다. 학습자들이 인공지능 데이터 및 시스템을 다루거나 인공지능윤리 요소 중 데이터 편향에 의한 피해를 방지하고자 할 때 인지할 수 있는 역량을 배양할 수 있다. 구체적으로, 머신러닝포키즈를 활용해 데이터편향 학습을 하는 방법을 AI야구심판 사례를 통해 제시한다. 학습자는 구체적 주제선정, 선행연구 검토, 기계학습 플랫폼에서 편향/비편향 데이터의 입력 및 테스트 데이터 구성, 기계학습의 결과 비교, 결과를 통해 얻을 수 있는 데이터 편향에 대한 함의를 제시한다. 이러한 과정을 통해서 학습자는 인공지능 데이터 편향이 최소화되어야 한다는 점과 데이터 수집 및 선정이 사회에 미치는 영향을 체험적으로 배울 수 있다. 이 학습방법은 문제기반의 자기주도 학습의 용이성, 코딩교육과의 결합가능성, 그리고 인문사회적 주제와 인공지능 리터러시와 결합을 추동한다는 의의를 가진다.