• 제목/요약/키워드: Dynamic Evolution

검색결과 388건 처리시간 0.023초

Computational fluid dynamic simulation with moving meshes

  • Yun, Kiyun;Kim, Juhan;Yoon, Suk-Jin
    • 천문학회보
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    • 제38권2호
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    • pp.101.2-101.2
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    • 2013
  • We present a new computational fluid dynamic (CFD) simulation code. The code employs the moving and polyhedral unstructured mesh scheme, which is known as a superior approach to the conventional SPH (smoothed particle hydrodynamics) and AMR (adaptive mesh refinement) schemes. The code first generates unstructured meshes by the Voronoi tessellation at every time step, and then solves the Riemann problem for surfaces of every Voronoi cell to update the hydrodynamic states as well as to move former generated meshes. For the second-order accuracy, the MUSCL-Hancock scheme is implemented. To increase efficiency for generating Voronoi tessellation we also develop the incremental expanding method, by which the CPU time is turned out to be just proportional to the number of particles, i.e., O(N). We will discuss the applications of our code in the context of cosmological simulations as well as numerical experiments for galaxy formation.

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무선통신 네트워크에서 동적채널할당을 위한 진화프로그램의 개발 (Development of Evolution Program for Dynamic Channel Assignment in Wireless Telecommunication Network)

  • 김성수;한광진;이종현
    • 산업공학
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    • 제14권3호
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    • pp.227-235
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    • 2001
  • There is a rapidly growing demand for wireless telecommunication. However, the number of usable channel is very limited. Therefore, the problem of channel assignment becomes more and more important to use channels as efficiently as possible. The objective of this paper is to develop an evolution program (EP) to find an efficient dynamic channel assignment method for minimum interference among the channels within reasonable time. The series of specific channel number is used as a representation of chromosome. The only changed chromosomes by crossover and mutation are evaluated in each generation to save computation time and memory for the progress of improved EP. We can easily differentiate the fitness value of each chromosome using proposed evaluation function. We also control the weighting factor of the mutation rate and the used number of elitist chromosomes for the speed of convergence to the optimal solution.

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R&D Competition and Innovation in the VCR Industry

  • Joung-hae Seo
    • 기술경영경제학회:학술대회논문집
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    • 기술경영경제학회 1997년도 제11회 하계학술발표회 논문집
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    • pp.124-159
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    • 1997
  • This paper examines a significant example of accumulation of technology in post war Japan - the development process of the videocasstte recorder (VCR) for home use, and the dynamic evolution process of the mass market. The purpose of analyzing the Japanese home VCR industry is to clarify how and why only the Japanese makers had succeeded in developing home VCR and dominated. the global mass market and to make clear the dynamic process of industrial evolution. This study found out the following facts; 1) Japanese inter-firm interactions in the VCR have been carried out by the structure of "the competition and cooperation among the engaged players" form the initial stage, to growing, and maturing stage. 2) The process of competition and cooperation produced the revolutionary innovation through a continuous systematic development process in the R&D phase. 3) The process of competition and cooperation accelerated the speed of technological progress and the rapid growth of the industry in the growing and maturing stage.

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저차원화된 리커런트 뉴럴 네트워크를 이용한 비주얼 서보잉 (Visual Servoing of Robot Manipulators using Pruned Recurrent Neural Networks)

  • 김대준;이동욱;심귀보
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1997년도 춘계학술대회 학술발표 논문집
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    • pp.259-262
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    • 1997
  • This paper presents a visual servoing of RV-M2 robot manipulators to track and grasp moving object, using pruned dynamic recurrent neural networks(DRNN). The object is stationary in the robot work space and the robot is tracking and grasping the object by using CCD camera mounted on the end-effector. In order to optimize the structure of DRNN, we decide the node whether delete or add, by mutation probability, first in case of delete node, the node which have minimum sum of input weight is actually deleted, and then in case of add node, the weight is connected according to the number of case which added node can reach the other nodes. Using evolutionary programming(EP) that search the struture and weight of the DRNN, and evolution strategies(ES) which train the weight of neuron, we pruned the net structure of DRNN. We applied the DRNN to the Visual Servoing of a robot manipulators to control position and orientation of end-effector, and the validity and effectiveness of the pro osed control scheme will be verified by computer simulations.

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Dynamic Interrelationship between the Evolution of Structural Systems and Façade Design in Tall Buildings: From the Home Insurance Building in Chicago to the Present

  • Moon, Kyoung Sun
    • 국제초고층학회논문집
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    • 제7권1호
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    • pp.1-16
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    • 2018
  • The emergence of tall buildings in the late $19^{th}$ century was possible by using new materials and separating the role of structures and that of non-structural walls from the traditional load-bearing walls that acted as both. The role of structures is more important in tall buildings than in any other building type due to the "premium for height". Among the walls freed from their structural roles, façades are of conspicuous importance as building identifiers, significant definers of building aesthetics, and environmental mediators. This paper studies dynamic interrelationship between the evolution of tall building structural systems and façade design, beginning from the early tall buildings of skeletal structures with primitive curtainwalls to the recent supertall buildings of various tubular and outrigger structures with more advanced contemporary curtainwalls.

An Advanced Resource Allocation Algorithm for PON-LTE Converged Networks

  • Abhishek Gaur;Vibhakar Shrimali
    • International Journal of Computer Science & Network Security
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    • 제23권7호
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    • pp.16-22
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    • 2023
  • Enhanced radio access technologies (RAT) are deployed in Next Generation Convergence Networks by the service providers so as to satisfy the basic requirements of end-users for e.g. QoS. Whenever the available resources are being shared simultaneously and dynamically by multiple users or distribution of allocated channels randomly, the deficiency of spectral resources and dynamic behavior of Network traffic in real time Networking, we may have problem. In order to evaluate the performance of our proposed algorithm, computer simulation has been performed on NS-2 simulator and a comparison with the existing algorithms has been made.

CA 모델을 통한 동적재결정 예측에 있어서의 재료상수 선정 (Determination of Materials Constants for Dynamic Recrystallization Prediction by Cellular Automata Modeling)

  • ;;이경훈;강경필
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2008년도 추계학술대회 논문집
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    • pp.288-291
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    • 2008
  • Physics based Cellular Automata model is developed and implemented into FEM code. CA model can predict microstructure evolution based on physical phenomena, such as hardening, recovery and recrystallization. This paper outlines the methodology to determine the materials constants for these different phenomena from simpler measurements.

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Hierarchical Topology/parameter Evolution in Engineering Design

  • 서기성
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2005년도 춘계학술대회 학술발표 논문집 제15권 제1호
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    • pp.185-188
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    • 2005
  • This paper suggests a control method for efficient topology/parameter evolution in a bond-graph-based GP design framework that automatically synthesizes designs for multi-domain, lumped parameter dynamic systems, We adopt a hierarchical breeding control mechanism with fitness-level-dependent differences to obtain better balancing of topology/parameter search - biased toward topological changes at low fitness levels, and toward parameter changes at high fitness levels. As a testbed for this approach, an eigenvalue assignment problem, which is to find bond graph models exhibiting minimal distance errors from target sets of eigenvalues, was tested and showed improved performance for various sets of eigenvalues.

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LTE 셀룰라 시스템과 무선랜의 양립성 분석 (Compatibility between LTE Cellular Systems and WLAN)

  • 조한신
    • 한국전자파학회논문지
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    • 제26권2호
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    • pp.171-178
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    • 2015
  • 국제무선접속 표준그룹인 3GPP에서 정의된 long-term evolution(LTE) 셀룰라 서비스 후보대역 중 2.3~2.4 GHz 대역은 무선랜 대역(2.4~2.5 GHz)과 인접하고 있기 때문에 두 시스템의 양립성 평가를 위한 간섭 분석 연구가 필요하다. 본 연구에서는 무선랜으로부터의 간섭신호가 LTE 시스템에 미치는 영향을 정확히 분석하기 위해 동적 시스템 시뮬레이션을 이용한 간섭 분석 방법을 제안한다. 동적 시스템 시뮬레이션은 공간/시간/주파수에 따라 변하는 시스템 변수를 모사하여 실제 환경에 유사한 결과를 예측할 수 있는 장점을 갖고 있다. 제안한 시뮬레이터를 이용해 두 시스템 간의 주파수 이격의 변화에 따른 LTE 하향 링크 throughput 감소율을 계산하였다. 두 시스템 간에 11 MHz(무선랜 AP의 동일 채널 할당) 및 10 MHz(무선랜 AP의 3채널 할당)의 보호대역을 설정할 경우, 1 % 미만의 throughput 감소율을 확보할 수 있었다.

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.