• Title/Summary/Keyword: Cognitive Map

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The Effects of a Way-finding Exercise using a Map on the Cognitive Function and Performance of Activities of Daily Living in Patients with a Stroke (지도를 이용한 길 찾기 훈련이 성인 뇌졸중환자의 인지기능과 일상생활동작에 미치는 영향)

  • Jung, Sung-Wook;Kim, Heung-Yeol;Kim, Tack-Hoon
    • The Journal of the Korea Contents Association
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    • v.13 no.10
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    • pp.434-443
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    • 2013
  • The purpose of this study is to investigate the effectiveness of the way-finding exercise using a map in rehabilitation of cognitive function and activities of daily living in patients with a stroke. For the seven patients diagnosed with hemiplegia from a stroke, we executed the way-finding exercise using a map in the hospital, three times a week for two weeks. Loewenstein Occupational Therapy Cognitive Assessment(LOTCA) and Functional Independence Measure(FIM) were used to measure the cognitive function and performance of activities of daily living before and after intervention. For the visual perception area and the spatial relations of the spatial perception area of LOTCA, scores were significantly higher than before intervention(p<.05). For the walk/wheelchair of locomotion area and the problem solving of the social cognition area of FIM, scores were significantly higher than before intervention(p<.05). The results of this study show that a way-finding exercise for patients with a stroke is a useful therapeutic approach by enhancing cognitive function and performance of activities of daily living.

Technology Keyword Network and Cognitive Map Analysis: to prospect promising technology of UAV(Unmanned Aerial Vehicle) airframe industry (기술 키워드 네트워크와 인지지도 분석을 통한 무인항공기 비행체산업의 유망기술 도출 연구)

  • Joo, Seong-Hyeon;Ha, Sung-Ho;Park, Sang-Hyeon
    • Journal of Korea Society of Industrial Information Systems
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    • v.21 no.5
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    • pp.55-72
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    • 2016
  • This study aims at providing a methodology for retaining international technology competitiveness, marketable industry, and sustainable promising technology in a field of new growth engine industry such as national unmanned aerial vehicle industry. We draw a result by analysing with tools such as KrKwic, Excel, NetMiner, presenting methods of a Social Network Analysis, sub-group analysis, and cognitive map analysis based on patent data in a field of unmanned aerial vehicle industry. As a result, some future promising technologies are prospected as what worths concentrated investment, such as 'pilot control tech', 'identification of friend or foe tech'.

A Study on the Development of Causal Knowledge Base Based on Data Mining and Fuzzy Cognitive Map (데이터 마이닝과 퍼지인식도 기반의 인과관계 지식베이스 구축에 관한 연구)

  • Kim, Jin-Sung
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.05a
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    • pp.247-250
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    • 2003
  • Due to the increasing use of very large databases, mining useful information and implicit knowledge from databases is evolving. However, most conventional data mining algorithms identify the relationship among features using binary values (TRUE/FALSE or 0/1) and find simple If-THEN rules at a single concept level. Therefore, implicit knowledge and causal relationships among features are commonly seen in real-world database and applications. In this paper, we thus introduce the mechanism of mining fuzzy association rules and constructing causal knowledge base form database. Acausal knowledge base construction algorithm based on Fuzzy Cognitive Map(FCM) and Srikant and Agrawal's association rule extraction method were proposed for extracting implicit causal knowledge from database. Fuzzy association rules are well suited for the thinking of human subjects and will help to increase the flexibility for supporting users in making decisions or designing the fuzzy systems. It integrates fuzzy set concept and causal knowledge-based data mining technologies to achieve this purpose. The proposed mechanism consists of three phases: First, adaptation of the fuzzy membership function to the database. Second, extraction of the fuzzy association rules using fuzzy input values. Third, building the causal knowledge base. A credit example is presented to illustrate a detailed process for finding the fuzzy association rules from a specified database, demonstration the effectiveness of the proposed algorithm.

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Cognitive mapping with multiple participants

  • Park, Kyung-Sam;Kim, Soung-Hie
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1993.04a
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    • pp.283-290
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    • 1993
  • Cognitive map is used for structuring and analyzing complex and unstructured decision environments, and it is a tool for graphically representing interrelationships among a variety of factors. It is a representation of the subjective perception of individual decision maker. Usually it is constructed by a number of experts at group level. This paper presents the technique of building an accurate cognitive map through several tests about the preliminary generated one. This paper also proposes an approach for aggregating the causal intensities of multiple experts.

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Human Sensibility Ergonomics Evaluation of the Car Navigation System Digital Map (자동차 항법장치 도로지도의 감성공학적 평가에 관한 연구)

  • Cha, Doo-Won;Paek, Seung-Reu;Park, Peom
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.48
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    • pp.101-111
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    • 1998
  • CNS (Car Navigation System) is the most compatible candidate among various in-vehicle information systems as a provider of ITS (Intelligence Transport Systems) information. It generally consists of remote controller, display, CD-changer, GPS receiver and so on. Among them, display is the most important and critical element of the HMI (Human-Machine Interface) suggesting the digital map to the driver. Therefore, it is certain that the display gives cognitive, physical, mental and visual workloads to the driver which are directly related with the driver's and road safety with the success of ITS. Until now, various human factors techniques have been developed and applied to estimate the driver's workload and to collect the driver's requirements of the CNS digital map, for example, mental workload assessment, visual activity analysis, cognitive analysis and so on. In addition to these kinds of techniques, this research performed the human sensibility ergonomics approach to directly investigate and evaluate the driver's requirements and sensibilities of the real products.

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Causal Maps of President Kim Dae Jung:Systems thinking in managing the Korean financial crisis of 1997 (김대중 대통령의 인과지도:1997년도 금융위기의 원인과 극복에 관한 김대중 대통령의 시스템 사고)

  • 김동환
    • Korean System Dynamics Review
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    • v.1 no.1
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    • pp.5-28
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    • 2000
  • After the unanticipated financial crisis of Korea in 1997, lots of debates have been held on how to manage the crisis. However, few studies attempt to analyze policy makers' map that shaped and guided various measures for overcoming the crisis. This paper explores cognitive maps and systems thinking of the President of Korea who successfully managed the financial crisis. Futhermore, his cognitive map is compared to that of Prime Minister of Malaysia who overcome financial crisis successfully but in different ways. In this paper the causal map analysis of policy makers is proposed as a promising approach for in-depth investigation of systems thinking of policy makers.

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Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Network based on Two-Tier Crossover Genetic Algorithm

  • Jiao, Yan;Joe, Inwhee
    • Journal of Communications and Networks
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    • v.18 no.1
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    • pp.112-122
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    • 2016
  • Cognitive radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi-radio access technology (multi-RAT) can improve network capacity because data are transmitted by multiple RANs (radio access networks) concurrently. Thus, multi-RAT embedded in a cognitive radio network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous primary users (PUs). Specifically, we focus on the energy-efficient resource allocation (EERA) problem for CR users with a special location coverage overlapping region in which heterogeneous PUs operate simultaneously via multi-RAT. We propose a two-tier crossover genetic algorithm-based search scheme to obtain an optimal solution in terms of the power and bandwidth. In addition, we introduce a radio environment map to manage the resource allocation and network synchronization. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.

Cognitive Characteristics of Social Space on Town Wall Villages in Busan and Gyeongnam Areas - The village of Seongbuk in Gadeok-Island and Ungcheon in Jinhae - (부산·경남지역 읍성 마을에서의 사회적 공간의 인지 특성 - 가덕도 성북(城北)마을, 진해구 웅천(熊川)마을을 대상으로 -)

  • Son, Young-Rim;Lee, In-Hee;Yoo, Jae-Woo
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.11
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    • pp.109-116
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    • 2019
  • Seongbuk Village and Ungcheon Village are Town Wall Villages that reflect social and historical backgrounds. villagers have formed villages based on community life. The streets and places of the villages are accumulated as images in the memory of the inhabitants. Based on their imagination-concept, 30 sketch maps, reflecting residents' cognitive perception were collected. Analysis of 30 sketch maps shows that other forming of Collective maps. In the past, Villages historical facilities had changed roles, but the relationship between the place and the place has been continuous, and according to the development process of the villages, the relationship between streets and places has been formed. Following this, the analysis methodology of social spaces and sketch will be examined in depth.