• 제목/요약/키워드: cognitive structure

검색결과 533건 처리시간 0.025초

예술학에 있어서 분석가능성과 인지심리학의 역할 (The Analyzability and the Role of Cognitive Psychology in Science of Art)

  • 박병주
    • 조형예술학연구
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    • 제5권
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    • pp.5-34
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    • 2003
  • This study aims at the observation of some analytical levels-especially those of syntactico-semantical- of the visual expressions in general. As far as the syntactical parts are concerned, there were two steps to be approached. One is to select the paradigms according to the Saussure-Hambidgean suggestions, the other to derive syntagmas from what is called the 'chaos-system', one of nonlinear dynamics. In result, paradigms could be acquired 5 sorts with its so many varieties, as visual templates(VT), supplemented by their reciprocals(R) and complements(CLE), and syntagmas five orbits from each constant c=0 to c=10. In additional, in connection with semantic parts, the study introduced a Gremasian model of discourses and narratives for the interpretation of signifiers. By this, we could cover the conjunctive relationships(+) and the disjunctive(-) of the whole structure of visual expression. Finally, we certified that the above could be fully approved in terms of recent worldly cognitive scientic psychological discoveries.

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An Interference Avoidance Method Using Two Dimensional Genetic Algorithm for Multicarrier Communication Systems

  • Huynh, Chuyen Khoa;Lee, Won Cheol
    • Journal of Communications and Networks
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    • 제15권5호
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    • pp.486-495
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    • 2013
  • In this article, we suggest a two-dimensional genetic algorithm (GA) method that applies a cognitive radio (CR) decision engine which determines the optimal transmission parameters for multicarrier communication systems. Because a CR is capable of sensing the previous environmental communication information, CR decision engine plays the role of optimizing the individual transmission parameters. In order to obtain the allowable transmission power of multicarrier based CR system demands interference analysis a priori, for the sake of efficient optimization, a two-dimensionalGA structure is proposed in this paper which enhances the computational complexity. Combined with the fitness objective evaluation standard, we focus on two multi-objective optimization methods: The conventional GA applied with the multi-objective fitness approach and the non-dominated sorting GA with Pareto-optimal sorting fronts. After comparing the convergence performance of these algorithms, the transmission power of each subcarrier is proposed as non-interference emission with its optimal values in multicarrier based CR system.

A Study on the Development of Robust Fault Diagnostic System Based on Neuro-Fuzzy Scheme

  • Kim, Sung-Ho;Lee, S-Sang-Yoon
    • Transactions on Control, Automation and Systems Engineering
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    • 제1권1호
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    • pp.54-61
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    • 1999
  • FCM(Fuzzy Cognitive Map) is proposed for representing causal reasoning. Its structure allows systematic causal reasoning through a forward inference. By using the FCM, authors have proposed FCM-based fault diagnostic algorithm. However, it can offer multiple interpretations for a single fault. In process engineering, as experience accumulated, some form of quantitative process knowledge is available. If this information can be integrated into the FCM-based fault diagnosis, the diagnostic resolution can be further improved. The purpose of this paper is to propose an enhanced FCM-based fault diagnostic scheme. Firstly, the membership function of fuzzy set theory is used to integrate quantitative knowledge into the FCM-based diagnostic scheme. Secondly, modified TAM recall procedure is proposed. Considering that the integration of quantitative knowledge into FCM-based diagnosis requires a great deal of engineering efforts, thirdly, an automated procedure for fusing the quantitative knowledge into FCM-based diagnosis is proposed by utilizing self-learning feature of neural network. Finally, the proposed diagnostic scheme has been tested by simulation on the two-tank system.

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인지이론과 ART 신경회로망에 기반한 한글 문자 분류 모델 (Hangeul Character Classification Model Based on Cognitive Theory and ART Neural Network)

  • 박중양;박재흥;장재혁
    • 한국콘텐츠학회논문지
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    • 제5권5호
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    • pp.33-42
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    • 2005
  • 본 논문에서는 ART 신경회로망의 성능을 개선하기 위해, 불필요한 클러스터의 생성과 변화를 억제하여 효율적인 패턴 분류가 가능하도록 하는 학습 알고리즘을 제안한다. 또한, 패턴 분류의 정확성을 향상시키기 위해 한글의 구조적 특징을 이용한 위치추출 알고리즘을 적용하였다. 제안하는 학습 알고리즘은 현재 학습되는 패턴과 최초 패턴간의 일치도를 비교한 후 리세트 시스템을 작동케 한다. 그 결과, 신경회로 망은 이미 입력되었던 패턴이 다시 입력되어도 새로운 클러스터의 생성을 방지하여 오인식율을 줄이게 된다.

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데이터베이스 의미론을 위한 한국어 피동형의 전산적 처리 (Processing Korean Passives for Database Semantics)

  • 홍정하;최승철;이기용
    • 한국인지과학회:학술대회논문집
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    • 한국인지과학회 2000년도 한글 및 한국어 정보처리
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    • pp.411-418
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    • 2000
  • Hausser (1999)와 이기용 (1999a, 1999c)에서는 데이터베이스 관리 시스템(DBMS)을 이용하여 자연언어의 의미를 다루는 데이터베이스 의미론을 제안하였다. 특히 이기용 (1999c)에서는 수형도(tree), 논리 형태(logical fomulas), 자질 구조(feature structure)와 같은 다양한 언어 표상 형식들을 관계형 데이터베이스 관리 시스템(DBMS)의 표상 형식인 테이블 형식으로 전환 가능함을 보임으로써 데이터베이스 의미론에 관계형 데이터베이스 관리 시스템을 도입할 수 있음을 제시하였다. 한편, Lee (2000)에서 제시한 데이터베이스 의미론 모형에서는 데이터베이스 관리 시스템과 사용자(end-user)를 연결하는 언어 정보 처리 시스템(LIPS; Linguistic Information Processing System)을 제안하였다. 이 언어 정보 처리 시스템은 사용자에 의해 입력된 언어 자료를 처리하여 그 분석 결과를 데이터베이스 관리 시스템에 전달하고, 이를 통해 구축된 데이터베이스에서 추출한 정보를 다시 사용자에게 전달하는 시스템이다. 이 논문은 한국어 '이, 히, 리, 기' 피동형을 전산처리 할 수 있도록, 데이터베이스 의미론에서 핵심 요소인 언어정보 처리 시스템과 데이터베이스 관리 시스템을 구현하는 것이 목적이다.

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Optimal Admission Control and State Space Reduction in Two-Class Preemptive Loss Systems

  • Kim, Bara;Ko, Sung-Seok
    • ETRI Journal
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    • 제37권5호
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    • pp.917-921
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    • 2015
  • We consider a multiserver system with two classes of customers with preemption, which is a widely used system in the analysis of cognitive radio networks. It is known that the optimal admission control for this system is of threshold type. We express the expected total discounted profit using the total number of customers, thus reducing the stochastic optimization problem with a two-dimensional state space to a problem with a one-dimensional birth-and-death structure. An efficient algorithm is proposed for the calculation of the expected total discounted profit.

A Cognitive Radio based Multi-hop Relay Cellular Network

  • Hassan, Md. Imrul;Song, Ju-Bin;Kim, Young-Il
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.97-98
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    • 2007
  • In this paper, we investigate the throughput capacity of a multi-hop relay network with cognitive radio (CR) enabled relay stations (RS). We suggested a TDMA/FDMA based frame structure where RSs dynamically select unused channels to communicate with the base station (BS) using CR techniques to analyze the throughput capacity. We developed the throughput capacity model for the proposed system based on utilization factor. The analytical results based on those equations show significant improvement in throughput capacity for CR enabled multi-hop relay system.

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A Study on the Verification of Traffic Flow and Traffic Accident Cognitive Function for Road Traffic Situation Cognitive System

  • Am-suk, Oh
    • Journal of information and communication convergence engineering
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    • 제20권4호
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    • pp.273-279
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    • 2022
  • Owing to the need to establish a cooperative-intelligent transport system (C-ITS) environment in the transportation sector locally and abroad, various research and development efforts such as high-tech road infrastructure, connection technology between road components, and traffic information systems are currently underway. However, the current central control center-oriented information collection and provision service structure and the insufficient road infrastructure limit the realization of the C-ITS, which requires a diversity of traffic information, real-time data, advanced traffic safety management, and transportation convenience services. In this study, a network construction method based on the existing received signal strength indicator (RSSI) selected as a comparison target, and the experimental target and the proposed intelligent edge network compared and analyzed. The result of the analysis showed that the data transmission rate in the intelligent edge network was 97.48%, the data transmission time was 215 ms, and the recovery time of network failure was 49,983 ms.

Governance Structures to Facilitate Collaboration of Higher Education Institutions (HEIs) and Science &Technology Parks

  • Kang, Byung-Joo
    • World Technopolis Review
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    • 제5권2호
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    • pp.108-118
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    • 2016
  • There are very few studies on governance structure for the collaboration between HEIs and science and technology parks until today. Major activities between science parks and HEIs are R&D activities, collaborative researches, technology transfer, space provision for BIs and Technology BIs in the science parks, provision of technical, legal and financial services for start-ups and venture firms. Governance structure for the collaboration of high education institutes with science and technology parks is the handling of complexity and management of dynamic flows of collaboration between two groups. Three models on the governance structure for the collaboration are suggested in this study. The first model is a governance structure that links R&D system such as universities, public research institutes and private research institutes with industrial production cluster such as a group of companies and industrial parks. The second model is a governance structure that has four layers of hierarchy. This hierarchical governance model is composed of four levels of organizations such as central government, three actors, one center for collaboration and many individual research performers. The third model is a governance structure that networks all the stakeholders horizontally. Under this structure, governance is conducted by the network members with no separate and unique governance entity.

인지모델링 기법을 활용한 항만물류산업의 성공적인 e-비즈니스 도입방안에 관한 연구 (A Cognitive Modeling Approach for Successful Adoption of e-business in the Port-Logistics Industry)

  • 이홍걸;추봉성;장재곤;이철영
    • 한국항해항만학회지
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    • 제30권1호
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    • pp.61-66
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    • 2006
  • 최근 항만물류산업의 고부가가치화에 관한 논의와 더불어, 항만물류산업의 e-비즈니스화에 대한 다양한 연구가 진행되고 있다. 그러나, 두드러진 연구의 성과는 아직까지 나와 있지 않은 실정이다. 게다가, e-비즈니스화의 활성화를 위한 기술적 측면에서의 여러 가지 방안들은 업계의 이용실적이 미비하여, 실효를 거두고 있지 못하고 있는 실정이다. 본 연구에서는 이와 같은 문제에 주목하여, 실증적인 차원에서 인지 모델링 기법을 바탕으로 항만물류산업의 e-비즈니스에 영향을 미치는 요인을 추출하고, 그 체계를 수립하는 것을 연구의 목적으로 한다. 이러한 과정을 통해, 항만물류산업의 성공적인 e-비즈니스 도입을 위해 선행되어야 할 사항들을 파악하고, 주요 핵심 사항들을 제안하고자 한다.