• 제목/요약/키워드: Boolean network

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컴플렉스 브릿지 시스템의 신뢰도 분석 (Reliability Analysis of Complex Bridge System)

  • 최성운
    • 대한안전경영과학회지
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    • 제7권4호
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    • pp.219-227
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    • 2005
  • Three general algorithms for evaluating the reliability for complex bridge system are proposed. These methods, such as Keystone, Boolean, Network algorithms are powerful and effective to derive an reliability expression for many practical complex systems. The combination approach of RBD and FTA proposed in this paper provides an effective way to evaluate the functional dependency for applications of FMEA.

공유경제 비즈니스 모델의 가치 요인 분석 (The Sharing Economy Business Model per the Analysis of Value Attributes)

  • 이준민;황준석;김종립
    • 한국IT서비스학회지
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    • 제15권4호
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    • pp.153-174
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    • 2016
  • On account of multiple causes, including prolonged global economic crisis, addressing environmental pollution and the advent of hyper-connected society, a new paradigm called 'sharing economy' has rapidly emerged. Many startups have attempted to build promising business model based on the sharing economy concept. Nevertheless, successful cases are still very rare in the global level, except for Uber and Airbnb cases. Therefore, this study analyzes necessary causes and sufficient causes for successful settlements in the market through a comparative case analysis on digital matching firms in the sharing economy businesses. For the case study, we compare five successful cases (Uber, Airbnb, Kickstarter, TaskRabbit and DogVacay), three failure cases (Homejoy, Ridejoy and Tuterspree) and a platform cooperativism case (Juno) in accordance with six value attributes of business model including value proposition, market segment, value chain, cost structure and profit potential, value network and competitive strategy. We apply Boolean method to support controlled comparison and eliminate unnecessary attributes. The Boolean analysis result shows that value proposition, cost structure and profit potential, value network and competitive strategy are the essential attributes. Furthermore, the result indicates that each attribute is a necessary condition, where all four conditions should be met simultaneously in order to be successful. With this result, we discuss essential consideration for those who are planning startup based on the sharing economy business model.

A Study on the Design of a Biologizing Control System

  • Park, Byung-Jae;Wang, Paul P.
    • 한국지능시스템학회논문지
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    • 제14권5호
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    • pp.630-634
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    • 2004
  • According to the progress of an information-oriented society, more human friendly systems are required. The systems can be implemented by a kind of intelligent algorithms. In this paper we propose the possibility of the implementation of an intelligent algorithm from gene, behavior of human beings, which has some properties such as self organization and self regulation. The regulation of gene behavior is widely analyzed by Boolean network. Also the SORE (Self Organizable and Regulating Engine) is one of those algorithms. This paper does not report detailed research results; rather, it studies the feasibility of gene behavior in biocontrol systems based upon computer simulations.

CMOS 기술을 이용한 신경회로망의 VLSI 구현 (VLSI Implementation of Neural Networks Using CMOS Technology)

  • 정호선
    • 대한전자공학회논문지
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    • 제27권3호
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    • pp.137-144
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    • 1990
  • 본 논문은 단층 perceptron과 새로 개발한 비대칭 궤환형 신경회로망 모델을 CMOS VLSI로 구현 하는 방법에 관한 연구로써, boolean 식과 산술 연산을 수행할 수 있는 50여개의 칩을 이중 금속 2마이크로메터 설계 규칙에 의해 설계하였으며 제작중에 있다. 이들 칩은 문자 인식, 디지털 처리 및 신경회로망 컴퓨터에 기본 칩으로 사용할 수 있도록 개발되었다.

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Component-Based Software Architecture for Biosystem Reverse Engineering

  • Lee, Do-Heon
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제10권5호
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    • pp.400-407
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    • 2005
  • Reverse engineering is defined as the process where the internal structures and dynamics of a given system are inferred and analyzed from external observations and relevant knowledge. The first part of this paper surveys existing techniques for biosystem reverse engineering. Network structure inference techniques such as Correlation Matrix Construction (CMC), Boolean network and Bayesian network-based methods are explained. After the numeric and logical simulation techniques are briefly described, several representative working software tools were introduced. The second part presents our component-based software architecture for biosystem reverse engineering. After three design principles are established, a loosely coupled federation architecture consisting of 11 autonomous components is proposed along with their respective functions.

무선 센서 네트워크에서 Probabilistic Blanket Coverage에 대한 센싱 모델의 영향 (Impact of Sensing Models on Probabilistic Blanket Coverage in Wireless Sensor Network)

  • 수보드 푸다사이니;강문수;신석주
    • 한국통신학회논문지
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    • 제35권7A호
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    • pp.697-705
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    • 2010
  • WSN에서의 커버리지 문제는 센싱 커버리지에 대한 요구조건을 만족시키기 위해 필요한 최소한의 활동 센서(active sensor)의 개수로 공식화될 수 있다. 일반적으로 확률적 기하학을 이용하여 WSN의 커버리지 분석을 수행하기 때문에 센싱 모델이 커버리지 분석의 핵심 요소로 간주된다. 따라서, 커버리지 분석의 정확도는 어떠한 센싱 모델을 가정하였느냐에 따라 달라질 수 있으며 분석에 사용된 센싱 모델이 얼마나 실 센싱 환경에 가깝게 특성화 되었느냐에 따라 달라진다. 본 논문에서는 Boolean 모델, Exponential 모델, Hybrid 모델 등 다양한 형태의 결정적 혹은 확률적 센싱 모델들을 조사하고 각각의 센싱 모델에 따라 일정 영역을 센싱할 수 있는 최소한의 센서 개수를 도출할 수 있는 수리적 분석을 수행하였으며 이를 통해 성능을 비교 평가하였다.

학습 성능의 개선을 위한 복합형 신경회로망의 구현과 이의 시각 추적 제어에의 적용 (Implementation of Hybrid Neural Network for Improving Learning ability and Its Application to Visual Tracking Control)

  • 김경민;박중조;박귀태
    • 전자공학회논문지B
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    • 제32B권12호
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    • pp.1652-1662
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    • 1995
  • In this paper, a hybrid neural network is proposed to improve the learning ability of a neural network. The union of the characteristics of a Self-Organizing Neural Network model and of multi-layer perceptron model using the backpropagation learning method gives us the advantage of reduction of the learning error and the learning time. In learning process, the proposed hybrid neural network reduces the number of nodes in hidden layers to reduce the calculation time. And this proposed neural network uses the fuzzy feedback values, when it updates the responding region of each node in the hidden layer. To show the effectiveness of this proposed hybrid neural network, the boolean function(XOR, 3Bit Parity) and the solution of inverse kinematics are used. Finally, this proposed hybrid neural network is applied to the visual tracking control of a PUMA560 robot, and the result data is presented.

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A Method for Computing the Network Reliability of a Computer Communication Network

  • Ha, Kyung-Jae;Seo, Ssang-Hee
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 1998년도 추계학술발표논문집
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    • pp.202-207
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    • 1998
  • The network reliability is to be computed in terms of the terminal reliability. The computation of a terminal reliability is started with a Boolean sum of products expression corresponding to simple paths of the pair of nodes. This expression is then transformed into another equivalent expression to be a Disjoint Sum of Products form. But this computation of the terminal reliability obviously does not consider the communication between any other nodes but for the source and the sink. In this paper, we derive the overall network reliability which all other remaining nodes. For this, we propose a method to make the SOP disjoint for deriving the network reliability expression from the system success expression using the modified Sheinman's method. Our method includes the concept of spanning trees to find the system success function by the Cartesian products of vertex cutsets.

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SDP기법에 근거한 전체 네트워크 신뢰도 계산을 위한 효율적 알고리즘 (An Algorithm for Computing of the Network Reliability)

  • 하경재;서상희
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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    • pp.473-476
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    • 2000
  • The network reliability is to be computed in terms of the terminal reliability. The computation of a termini reliability is started with a Boolean sum of products expression corresponding to simple paths of the pair of nodes. This expression is then transformed into another equivalent expression to be a Disjoint Sum of Products form. But this computaion of the terminal reliability obviously does not consider the communication between any other nodes but for the source and the sink. In this paper, we derive the overall network reliability which is the probability of communication that each node in the network communicates with all other remaining nodes. For this, we propose a method to make the SOP disjoint for deriving the network reliability expression from the system success expression using the modified Sheinman's method and modified BDD method.

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ATM 멀티캐스트 스위치를 위한 3차원 논블럭킹 복사망의 설계 및 성능평가 (Design and Performance Evaluation of a 3-Dimensional Nonblocking Copy Network for Multicast ATM Switches)

  • 신재구;손유익
    • 한국정보과학회논문지:정보통신
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    • 제29권6호
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    • pp.696-705
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    • 2002
  • 본 논문은 멀티캐스트 ATM 스위치를 위한 새로운 복사망에 관하여 언급한다. Lee의 복사망 제안 이후 현재까지 많은 연구가 진행되어 왔으나 스위치 내에서의 오버플로우와 셀 충돌 문제는 여전히 문제점으로 제기되어 왔다. 본 논문에서는 치러한 문제점을 개선하기 위해 공유 버퍼를 갖는 3차원 멀티캐스트 스위치 구조를 제안함으로서 높은 부하에서도 다중경로와 다중출력을 통해 오버플로우와 충돌을 줄일 수 있는 방법에 관하여 언급한다. 이를 위해 큰 팬아웃의 셀을 처리하기 위한 셀 분할 알고리즘(Cell splitting algorithm)과 Lee의 Broadcast Banyan Network을 확장시킨 복사망을 재안하였다. 셀 복사는 셀의 두 비트 멀티캐스트 패턴과 부울 방식의 내부분할 알고리즘(Boolean interval splitting algorithm)을 사용하여 네트워크가 갖는 자가-라우팅의 특성에 따라 이루어지도록 하였다. 제안된 복사망에서는 Lee의 복사망에서 문제가 되었던 오버플로우 문제, 큰 팬아웃의 셀 처리 문제, 셀 충돌 문제 등을 개선시킴으로서 기존의 멀티캐스트 ATM 스위치 성능을 향상시키고자 하였다. 시뮬래이션에 의한 성능 평가 결과 기존의 방법과 비교하여 산출량, 셀 손실률, 셀 지연에 대해 좋은 성능을 보이고 있다.