• 제목/요약/키워드: Minimal Representation

검색결과 48건 처리시간 0.023초

하이메 아욘과 마르셀 반더스의 디자인에서 나타나는 초현실주의적 특성 비교 연구 (A Comparative Study on the Surrealistic Characters of Jaime Hayon and Marcel Wanders Design)

  • 한정원
    • 한국실내디자인학회논문집
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    • 제20권2호
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    • pp.55-63
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    • 2011
  • This study aims to figure out diversity and complexity of modern design by analysing surrealistic characters of Jaime Hayon and Marcel Wanders design, who are working actively in diverse design fields including graphic design, product design, and space design. First fundamental theories of surrealism was reviewed, and structure for analysis was made by studying characters of design representation derived by surrealistic concepts. And then design projects in the fields of furniture and product design, interior space design, and project design that were performed by two designers after the year 2000 were analysed. Two designers assume critical attitudes in mass production of functional design which is made by only machines, and they have something in common pursuing creative and imaginative design by making unique artistic elements by using modern technology. In this way, they create surrealistic fantasy in their design. On the other hand Jaime Hayon and Marcel Wanders show interesting differences in modes of expression. Hayon creates unique and organic forms and characters based on his creative imagination, and he enjoys to express boldness and amusement. Wanders shows sophisticated and elegant duality by dramatic balance between intricate patterns and minimal forms. Both designers have important influences in modern design as creative leaders always pursuing new things and representing complex tendency of modern society.

시그마파이 신경 트리의 진화적 학습 및 이의 분류 예측에의 응용 (Evolutionary Learning of Sigma-Pi Neural Trees and Its Application to classification and Prediction)

  • 장병탁
    • 한국지능시스템학회논문지
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    • 제6권2호
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    • pp.13-21
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    • 1996
  • 하이오더 신경망에 대한 필요성과 유용성에 대해서는 신경망 연구의 초기부터 잘 알려져 있다. 그러나 오더가 늘어남에 따라 항의 수가 급격히 증가하는 문제로 인하여 이러한 망을 설계하고 학습하는데 많은 어려움이 있었다. 본 논문에서는 문제에 적합한 하이오더 신경망 모델을 효율적으로 구성하기 위한 진화적 학습 방법을 제시한다. 이 방법에서는 시그마유닛과 파이유닛을 융합한 신경트리 표현을 사용한다. 또한 MDL기반의 적합도 분류 및 예측 문제에 있어서 제시된 방법의 유용성을 검증한다.

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프라이 오토의 '자연적 구조'의 건축적 이념에 관한 연구 (A Study on the architectural Idea of 'the natural Construction' of Frei Otto)

  • 이란표
    • 한국실내디자인학회논문집
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    • 제15권5호
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    • pp.68-76
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    • 2006
  • Frei Otto, who is called to be the father of the ecological architecture, has shaped a peculiar architectural form style. In distance from the formalistic persistence to the modernist form canon and the postmodern tendencies to the self-representation of architects, Frei Otto has taken a more fundamentalistic position. Through the interdisciplinary researches on the self-organizing processes in the nature and the technical world Frei Otto could reason with architects, engineers, biologists, historians and philosophers the principle and structure of the natural construction that is applicable to the morphological research and the architectural construction research. In the middle of his architectural and scientific works is the idea of 'the natural construction' situated, and the basic principle and instrument of this 'Die Prinzip der Selbstbildung, The Principle of Self-making'. Founding himself on this principle, Frei Otto seeks after the new architectural form that is light, natural, flexible and variable by reasoning the typical formation process which refers to the common denominator of the self-making processes in the nature, the technique and the architecture. Despite his architecture is to be called to the anonymous, his architectural vision is headed toward the rationalistic form in accord with the natural laws. This study is purposed to elucidate the constellation to which his scientific attempts belong and the theoretical and methodological foundations of his architecture of 'the natural construction'.

다중 층간 분리부가 내재된 복합재 쉘 고차 지그재그 모델의 유한요소 해석 (A Finite Element Analysis based on Higher-Order Zig-Zag Shell Theory for Laminated Composites with Multiple Delamination)

  • 오진호;조맹효
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2004년도 가을 학술발표회 논문집
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    • pp.229-236
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    • 2004
  • A new three-node triangular shell element based on higher order zig-zag theory is developed for laminated composite shells with multiple delaminations. The present higher order zig-zag shell theory is described in a general curvilinear coordinate system and in general tensor notation. All the complicated curvatures of surface including twisting curvatures can be described in an exact manner in the present shell element because this element is based on geometrically exact surface representation. The displacement field of the proposed finite element includes slope of deflection. which requires continuity between element interfaces. Thus the nonconforming shape function of Specht's three-node triangular plate bending element is employed to interpolate out-of-plane displacement. The present element passes the bending and twisting patch tests in flat surface configurations. The developed element is evaluated through the buckling problems of composite cylindrical shells with multiple delaminations. Through the numerical examples it is demonstrated that the proposed shell element is efficient because it has minimal degrees of freedom per node. The accuracy of the present element is demonstrated in the prediction of buckling loads and buckling modes of shells with multiple delaminations. The present shell element should serve as a powerful tool in the prediction of buckling loads and modes of multi-layered thick laminated shell structures with arbitrary-shaped multiple delaminations.

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High-speed Integer Fuzzy Controller without Multiplications

  • Lee Sang-Gu
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권3호
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    • pp.223-231
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    • 2006
  • In high-speed fuzzy control systems applied to intelligent systems such as robot control, one of the most important problems is the improvement of the execution speed of the fuzzy inference. In particular, it is more important to have high-speed operations in the consequent part and the defuzzification stage. To improve the speedup of fuzzy controllers for intelligent systems, this paper presents an integer line mapping algorithm to convert [0, 1] real values of the fuzzy membership functions in the consequent part to a $400{\times}30$ grid of integer values. In addition, this paper presents a method of eliminating the unnecessary operations of the zero items in the defuzzification stage. With this representation, a center of gravity method can be implemented with only integer additions and one integer division. The proposed system is analyzed in the air conditioner control system for execution speed and COG, and applied to the truck backer-upper control system. The proposed system shows a significant increase in speed as compared with conventional methods with minimal error; simulations indicate a speedup of an order of magnitude. This system can be applied to real-time high-speed intelligent systems such as robot arm control.

다중 층간분리부가 있는 복합재 원통쉘의 지그재그 고차이론에 기초한 유한요소 진동해석 (A Finite Element Analysis based on Higher-Order Zig-Zag Shell Theory for Laminated Composites Cylinderical Shell with Multiple Delaminations)

  • 조맹효;오진호;김흥수
    • 한국복합재료학회:학술대회논문집
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    • 한국복합재료학회 2004년도 추계학술발표대회 논문집
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    • pp.69-72
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    • 2004
  • A new three-node triangular shell element based on higher order zig-zag theory is developed for laminated composite shells with multiple delaminations. The present higher order zig-zag shell theory is described in a general curvilinear coordinate system and in general tensor notation. All the complicated curvatures of surface including twisting curvatures can be described in an exact manner in the present shell element because this element is based on geometrically exact surface representation. The displacement field of the proposed finite element includes slope of deflection, which requires continuity between element interfaces. Thus the nonconforming shape function of Specht's three-node triangular plate bending element is employed to interpolate out-of-plane displacement. The present element passes the bending and twisting patch tests in flat surface configurations. The developed element is evaluated through the eigenvalue problems of composite cylindrical shells with multiple delaminations. Through the numerical examples it is demonstrated that the proposed shell element is efficient because it has minimal degrees of freedom per node. The present shell element should serve as a powerful tool in the prediction of natural frequency and modes of multi-layered thick laminated shell structures with arbitrary-shaped multiple delaminations.

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의료용 전문가 시스템에서 추론에 관한 연구 (A Study on Reasoning for Medical Expert Systems)

  • 김진상;신양규
    • Journal of the Korean Data and Information Science Society
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    • 제10권2호
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    • pp.359-367
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    • 1999
  • 본 논문에서는 의료용 전문가 시스템에 사용 가능한 의료지식을 수리논리적으로 표현하고 이에 대한 연역 및 진단추론을 행하는 방법을 제시하였다. 문제해결을 위해서는 연역추론을 행하며 원인의 규명을 위해서는 진단추론을 행하지만 일차논리 언어로 표현된 의료지식에서 두 종류의 추론을 병행할 수 있다. 그리고 의료지식에 자주 발생하는 시간에 따라 가변적인 결과의 추론방법도 함께 고찰하였다.

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Classification of Objects using CNN-Based Vision and Lidar Fusion in Autonomous Vehicle Environment

  • G.komali ;A.Sri Nagesh
    • International Journal of Computer Science & Network Security
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    • 제23권11호
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    • pp.67-72
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    • 2023
  • In the past decade, Autonomous Vehicle Systems (AVS) have advanced at an exponential rate, particularly due to improvements in artificial intelligence, which have had a significant impact on social as well as road safety and the future of transportation systems. The fusion of light detection and ranging (LiDAR) and camera data in real-time is known to be a crucial process in many applications, such as in autonomous driving, industrial automation and robotics. Especially in the case of autonomous vehicles, the efficient fusion of data from these two types of sensors is important to enabling the depth of objects as well as the classification of objects at short and long distances. This paper presents classification of objects using CNN based vision and Light Detection and Ranging (LIDAR) fusion in autonomous vehicles in the environment. This method is based on convolutional neural network (CNN) and image up sampling theory. By creating a point cloud of LIDAR data up sampling and converting into pixel-level depth information, depth information is connected with Red Green Blue data and fed into a deep CNN. The proposed method can obtain informative feature representation for object classification in autonomous vehicle environment using the integrated vision and LIDAR data. This method is adopted to guarantee both object classification accuracy and minimal loss. Experimental results show the effectiveness and efficiency of presented approach for objects classification.

기계학습 기법을 적용한 고압 인젝터의 분사율 예측 (Machine-Learning Based Prediction of Rate of Injection in High-Pressure Injector)

  • 윤린;박지호;심형섭
    • 한국분무공학회지
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    • 제29권3호
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    • pp.147-154
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    • 2024
  • This study explores the rate of injection (ROI) and injection quantities of a solenoid-type high-pressure injector under varying conditions by integrating experimental methods with machine learning (ML) techniques. Experimental data for fuel injection were obtained using a Zeuch-based HDA Moehwald injection rate measurement system, which served as the foundation for developing a machine learning model. An artificial neural network (ANN) was employed to predict the ROI, ensuring accurate representation of injection behaviors and patterns. The present study examines the impact of ambient conditions, including chamber temperature, chamber pressure, and injection pressure, on the transient profiles of the ROI, quasi-steady ROI, and injection duration. Results indicate that increasing the injection pressure significantly increases ROI, with chamber pressure affecting its initial rising peak. However, the chamber temperature effect on ROI is minimal. The trained ANN model, incorporating three input conditions, accurately reflected experimental measurements and demonstrated expected trends and patterns. This model facilitates the prediction of various ROI profiles without the need for additional experiments, significantly reducing the cost and time required for developing injection control systems in next-generation aero-engine combustors.

MPEG-4를 위한 포맷 변환 필터의 설계 (Design of Format Conversion Filters for MPEG-4)

  • 조남익;김기철;유하영
    • 한국통신학회논문지
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    • 제22권4호
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    • pp.637-637
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    • 1997
  • 본 논문에서는 MPEG-4 비데오 VB(verification model)에서 입력 영상의 크기 변환을 위하여 제시한 포멧 변화필터보다 하드웨어 구현시 더 유리한 필터를 제안한다. 제안된 필터는 각 계수가 MSD(minimal signed digit)로 표현되었을 때 0이 아닌 자리수가 두 개 이하가 되도록 설계하였으며 입력과 필터 계수와의 곱을 하나의 덧셈기만으로 구현할 수 있어서 일반적인 필터에서와 같이 정수 곱셈기나 CSA(carry save adder)를 사용하는 경우보다 복잡도나 속도 면에서 더 유리하다. MPEG 비데오 VM에서 제시한 필터는 2:1, 4:1, 5:3, 5:6 변화 등 모두 여섯가지인데 이들 중 매우 간단한 필터 하나를 제외한 나머지 필터에 대하여 모두 각 계수가 0이 아닌 자리수가 두개 이하가 되도록 설계를 하고 이들을 MPEG에서 제시한 필터들과 비교하였다. 필터링 성능 비교 방법은 사인파를 입력으로 하여 출력과 참값을 비교하는 간접적인 방법과, 영상을 높은 정밀도 계산으로 높은 탭수의 필터를 통과시켜 얻은 결과를 원영상으로 하여 제안된 필터와 MPEG에서 제시된 필터를 통과한 영상들을 PSNR로 비교하는 방법을 사용하였다. 결국, 본 논문에서 제시된 포맷 변환 필터들은 하드웨어 구현이 매우 간단하고 속도가 빠르면서도 필터링된 영상의 화질 면에서는 MPEG에서 제시한 필터와 거의 같음을 알 수 있다.