• 제목/요약/키워드: Moving Rules

검색결과 89건 처리시간 0.02초

제너러티브 아트(Generative Art)의 시각적 속성이 반영된 패션디자인 분석 (Analysis of Fashion Design Reflected Visual Properties of the Generative Art)

  • 김동옥;최정화
    • 한국의류학회지
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    • 제41권5호
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    • pp.825-839
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    • 2017
  • Generative Art (also called as the art of the algorithm) creates unexpected results, moving autonomously according to rules or algorithms. The evolution of digital media in art, which tries to seek novelty, increases the possibility of new artistic fields; subsequently, this study establishes the basis for new design approaches by analyzing visual cases of Generative Art that have emerged since the 20th century and characteristics expressed on fashion. For the methodology, the study analyzes fashion designs that have emerged since 2000, based on theoretical research that includes literature and research papers relating to Generative Art. According to the study, expression characteristics shown in fashion, based on visual properties of Generative Art, are as follows. First, abstract randomness is expressed with unexpected coincidental forms using movements of a creator and properties of materials as variables in accordance to rules or algorithms. Second, endlessly repeated pattern imitation expresses an emergent shape by endless repetition created by a modular system using rules or 3D printing using a computer algorithm. Third, the systematic variability expresses constantly changing images with a combination of system and digital media by a wearing method. It is expected that design by algorithm becomes a significant method in producing other creative ideas and expressions in modern fashion.

TRIZ를 활용한 클린룸용 저소음 및 저분진 케이블 이송 체인 시스템의 개발 (The Development of Cable Carrier Chain System with Low Noise and Dust for Moving Stages in Cleanrooms using TRIZ)

  • 김두진;현동훈;김영일
    • 반도체디스플레이기술학회지
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    • 제8권4호
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    • pp.83-88
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    • 2009
  • In this paper TRIZ was used to solve noise and dust reduction related to cable carrier chain system. On modern machines in a clean room, the contradictions arose due to increase noise and dust for the high speed were eliminated with 40 principles and seperation rules. As the results, the sound pressure level of the new carrier chain system was reduced to below 40 dB(A), and cleanroom classifications was satisfied with ISO class 4. In these successful results, TRIZ showed its usefulness in solving the design problems even with severe constraints.

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Co-evolutionary Genetic Algorithm for Designing and Optimaizing Fuzzy Controller

  • Byung, Jun-Hyo;Bo, Sim-Kwee
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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    • pp.354-360
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    • 1998
  • In general, it is very difficult to find optimal fuzzy rules by experience when a system is dynamical and/or complex. Futhermore proper fuzzy partitioning is not deterministic and there is no unique solution. Therefore we propose a new design method of an optimal fuzzy logic controller, that is a co-evolutionary genetic algorithm finding optimal fuzzy rule and proper membership functions at the same time. We formalize the relation between fuzzy rules and membership functions in terms of fitness. We review the typical approaching methods to co-evolutionary genetic algorithms , and then classify them by fitness relation matrix. Applications of the proposed method to a path planning problem of autonomous mobile robots when moving objects exist are presented to demonstrate the performance and effectiveness of the method.

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오용 침입탐지 시스템에서 모바일 에이전트를 이용한 보안규칙 관리에 관한 연구 (A Study of Security Rule Management for Misuse Intrusion Detection Systems using Mobile Agent)

  • 김태경;이동영;정태명
    • 정보처리학회논문지C
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    • 제10C권5호
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    • pp.525-532
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    • 2003
  • 이 논문은 모바일 에이전트를 이용해서 보안규칙을 관리하는 방안을 제시하였다. 침입탐지 시스템(IDS : Intrusion Detection System)은 침입탐지 모델을 기반으로 비정상적인 행위 탐지(anomaly detection)와 오용 침입탐지(misuse detection)로 구분할 수 있다. 오용 침입탐지(misuse detection)는 알려진 공격 방법과 시스템의 취약점들을 이용한 공격들은 탐지가 가능하지만, 알려지지 않은 새로운 공격을 탐지하지 못한다는 단점을 가지고 있다. 이에 본 논문에서는, 계속적으로 인터넷 상을 이동하는 모바일 에이전트를 이용해서 안전하게 보안규칙을 관리하는 방안을 오용탐지의 단점을 해결하는 방안으로 제시하였다. 이러한 모바일 에이전트 메커니즘을 이용해서 보안규칙을 관리하는 것은 침입탐지 분야에서는 새로운 시도이며, 모바일 에이전트를 이용해서 보안규칙을 관리하는 방법의 유효성을 증명하기 위해서 기존의 방식과 작업부하 데이터(workload data)를 수식적으로 비교하였고, NS-2(Network Simulator)를 이용하여 시간에 대하여 시뮬레이션을 수행하였다.

A Fuzzy Logic for Autonomous Navigation of Marine Vehicles Satisfying COLREG Guidelines

  • Lee, Sang-Min;Kwon, Kyung-Yub;Joongseon Joh
    • International Journal of Control, Automation, and Systems
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    • 제2권2호
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    • pp.171-181
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    • 2004
  • An autonomous navigation algorithm for marine vehicles is proposed in this paper using fuzzy logic under COLREG guidelines. The VFF (Virtual Force Field) method, which is widely used in the field of mobile robotics, is modified for application to the autonomous navigation of marine vehicles. This Modified Virtual Force Field (MVFF) method can be used in either track-keeping or collision avoidance modes. Moreover, the operator can select a track-keeping pattern mode in the proposed algorithm. The collision avoidance algorithm has the ability to handle static and/or moving obstacles. The fuzzy expert rules are designed deliberately under COLREG guidelines. An extensive simulation study is used to verify the proposed method.

Monitoring social networks based on transformation into categorical data

  • Lee, Joo Weon;Lee, Jaeheon
    • Communications for Statistical Applications and Methods
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    • 제29권4호
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    • pp.487-498
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    • 2022
  • Social network analysis (SNA) techniques have recently been developed to monitor and detect abnormal behaviors in social networks. As a useful tool for process monitoring, control charts are also useful for network monitoring. In this paper, the degree and closeness centrality measures, in which each has global and local perspectives, respectively, are applied to an exponentially weighted moving average (EWMA) chart and a multinomial cumulative sum (CUSUM) chart for monitoring undirected weighted networks. In general, EWMA charts monitor only one variable in a single chart, whereas multinomial CUSUM charts can monitor a categorical variable, in which several variables are transformed through classification rules, in a single chart. To monitor both degree centrality and closeness centrality simultaneously, we categorize them based on the average of each measure and then apply to the multinomial CUSUM chart. In this case, the global and local attributes of the network can be monitored simultaneously with a single chart. We also evaluate the performance of the proposed procedure through a simulation study.

오용침입탐지시스템에서보바일에이전트를이용한보안규칙관리에관한연구 (A Study of Security Rule Management for Misuse Intrusion Detection Systems using Mobile Agen)

  • 김태경;서희석;김희완
    • 한국컴퓨터산업학회논문지
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    • 제5권8호
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    • pp.781-790
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    • 2004
  • 이 논문은 모바일 에이전트를 이용해서 보안규칙을 관리하는 방안을 제시하였다. 침입탐지시스템(IDS: Intrusion Detection System)은 침입탐지 모델을 기반으로 비정상적인 행위 탐지(anomlay detection)와 오용 침입탐지 (misuse detection)로 구분할 수 있다. 오용 침입탐지는 알려진 공격방법과 시스템의 취약점들을 이용한 공격들은 탐지가 가능하지만, 알려지지 않은 새로운 공격을 탐지하지 못한다는 단점을 가지고 있다. 이에 본 논문에서는, 계속적으로 인터넷 상을 이동하는 모바일 에이전트를 이용해서 안전하게 보안규칙을 관리하는 방안을 오용탐지의 단점을 해결하는 방안으로 제시하였다. 이러한 모바일 에이전트 메커니즘을 이용해서 보안규칙을 관리하는 것은 침입탐지분야에서는 새로운 시도이며, 모바일 에이전트를 이용해서 보안규칙을 관리하는 방법의 유효성을 증명하기 위해서 기존의 방식과 작업부하 데이터 (workload data)를 수식적으로 비교하였고, NS-2 (Network Simulator)를 이용하여 시간에 대하여 시뮬레이션을 수행하였다.

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환자 기반 실시간 정도관리의 적용 (Application of Patient-based Real-time Quality Control)

  • 이승모;신경아
    • 대한임상검사과학회지
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    • 제56권2호
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    • pp.105-114
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    • 2024
  • 임상검사실은 질관리 시스템(quality management system)을 구축하여 일정 수준 이상의 질 확보를 위해 노력하여야 한다. 그러나 검사실 환경은 매우 복잡하여 단일 정도관리 절차로는 다양한 유형의 오류를 감지하는데 충분하지 않을 수 있다. 환자 기반 실시간 정도관리(patient-based real-time quality control, PBRTQC)는 테스트 과정을 모니터링하기 위한 검사실 도구로써 Bull's 알고리즘, 정상치 평균, 이동 중앙값, 이동평균, 지수가중이동평균과 같은 알고리즘이 활용되고 있다. PBRTQC는 저렴한 비용, 교환 가능성, 지속적인 실시간 성능 모니터링, 분석 전 오류에 대한 민감도 등 기존 정도관리에 비해 많은 이점이 있다. 그러나 PBRTQC는 통계 알고리즘의 선택, 적절한 규칙과 프로토콜의 설계, 성능검증 등을 고려해야하므로 구현하기가 쉽지만은 않다. 본 리뷰에서는 PBRTQC의 기본 개념과 방법 및 절차에 대해 설명하였으며, 이를 통해 환자 기반 정도관리 시스템 구현을 위한 지침을 제시하고자 하였다. 이에 기존의 내부정도관리의 성능이 제한적일 경우 PBRTQC 절차를 병용하는 것을 제안하고자 한다. 본 리뷰에서는 임상적 평가는 배제되었으며, 향후 이에 대한 평가가 요구된다.

이동물체 탐지를 위한 레이다 데이터의 거리-도플러 클러스터링 기법 (Range-Doppler Clustering of Radar Data for Detecting Moving Objects)

  • 김성준;양동원;정영헌;김수진;윤주홍
    • 한국군사과학기술학회지
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    • 제17권6호
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    • pp.810-820
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    • 2014
  • Recently many studies of Radar systems mounted on ground vehicles for autonomous driving, SLAM (Simultaneous localization and mapping) and collision avoidance are reported. In near field, several hits per an object are generated after signal processing of Radar data. Hence, clustering is an essential technique to estimate their shapes and positions precisely. This paper proposes a method of grouping hits in range-doppler domains into clusters which represent each object, according to the pre-defined rules. The rules are based on the perceptual cues to separate hits by object. The morphological connectedness between hits and the characteristics of SNR distribution of hits are adopted as the perceptual cues for clustering. In various simulations for the performance assessment, the proposed method yielded more effective performance than other techniques.

스키마 공진화 기법을 이용한 자율이동로봇의 행동제어 (Behavior Control of Autonomous Mobile Robot using Schema Co-evolution)

  • Sun, Joung-Chi;Byung, Jun-Hyo;Bo, Sim-Kwee
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 춘계학술대회 학술발표 논문집
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    • pp.123-126
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    • 1998
  • The theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. In the Meaning of these foundational concepts, simple genetic algorithm(SGA) allocate more trials to the schemata whose average fitness remains above average. Although SGA does well in many applications as an optimization method, still it does not guarantee the convergence of a global optimum. Therefore as an alternative scheme, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve in contrast with traditional single population evolutionary algorithms. In this paper, we propose a new design method of an optimal fuzzy logic controller using co-evolutionary concept. In general, it is very difficult to find optimal fuzzy rules by experience when the input and/or output variables are going to increase. So we propose a co-evolutionary method finding optimal fuzzy rules. Our algorithm is that after constructing two population groups m de up of rule vase and its schema, by co-evolving these two populations, we find optimal fuzzy logic controller. By applying the proposed method to a path planning problem of autonomous mobile robots when moving objects exist, we show the validity of the proposed method.

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