• Journal of Preventive Medicine and Public Health
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• v.56 no.1
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• pp.31-40
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• 2023

Objectives: This study investigated the effect of cognitive impairment on the association between social network properties and mortality among older Korean adults. Methods: This study used data from the Korean Social Life, Health, and Aging Project. It obtained 814 older adults' complete network maps across an entire village in 2011-2012. Participants' deaths until December 31, 2020 were confirmed by cause-of-death statistics. A Cox proportional hazards model was used to assess the risks of poor social network properties (low degree centrality, perceived loneliness, social non-participation, group-level segregation, and lack of support) on mortality according to cognitive impairment. Results: In total, 675 participants (5510.4 person-years) were analyzed, excluding those with missing data and those whose deaths could not be verified. Along with cognitive impairment, all social network properties except loneliness were independently associated with mortality. When stratified by cognitive function, some variables indicating poor social relations had higher risks among older adults with cognitive impairment, with adjusted hazard ratios (HRs) of 2.12 (95% confidence interval [CI], 1.34 to 3.35) for social nonparticipation, 1.58 (95% CI, 0.94 to 2.65) for group-level segregation, and 3.44 (95% CI, 1.55 to 7.60) for lack of support. On the contrary, these effects were not observed among those with normal cognition, with adjusted HRs of 0.73 (95% CI, 0.31 to 1.71), 0.96 (95% CI, 0.42 to 2.21), and 0.95 (95% CI, 0.23 to 3.96), respectively. Conclusions: The effect of social network properties was more critical among the elderly with cognitive impairment. Older adults with poor cognitive function are particularly encouraged to participate in social activities to reduce the risk of mortality.

• KIEAE Journal
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• v.8 no.2
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• pp.11-21
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• 2008

The purpose of this study is to interpret the visual and auditory images and cognitive characteristics about townscapes in Namwon city. It was acquired the survey results about 8 types of verbal interviews and 2 kinds of sketch maps which are based on urban images from 102 Namwon residents. They held in a variety of images of Namwon in their minds such as Jiri mountain, clean environment, sightseeing, special products, urban/building structures, Korean classical music, historical novel, local sports, and emotional images. The nice streets or places which the residents recommended are the places which have abundant natural areas, psychological peace and rest, available space for physical activity, places for performances and events, and regional attractions. The streets or places which they didn't like are decadent places, and areas of crowded traffic. The transition times of visual and auditory scene can be classified with the Saemaul movement in the 1970's(the rural new community movement) and the improvement of the city in the 1990's. The elements of visual images in Namwon city on the basis of the cognitive maps were expressed such elements as paths, districts, nodes, edges, and landmarks. The elements of auditory images, which are on the basis of the concept of the soundscape, included sounds of narrative musical form unique to Korea; p'ansori, sounds of traditional markets, and sounds of nature. It was found that the imageability of visual and auditory images is relatively clear in specific areas in Namwon city.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.3
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• pp.37-46
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• 2016

This study intends to analyze the characteristics of imageability elements of the tourism space using the spatial cognitive mapping method. For this purpose, this study selects Nami Island as a study site and collects spatial cognitive maps or sketches of the study area focused on tourists in their 20s and 30s after they visit the site. The results of frequency analysis on imageability elements of Nami Island show that paths, landmarks, and edges are more frequently cognized to tourists in their 20s and 30s than districts and nodes. This study determines a new imageability element of the tourism space, "moving objects," such as or bikes or animals. Tourism planners or landscape designers can consider these useful imageability elements as important planning factors in order to improve and clarify the images of tourism spaces.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.217-220
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• 2007

This paper studies method of controlling dynamic process with Fuzzy Cognitive Map (FCM) built in NI LabVIEW software. FCM is the hybrid methodology that combines fuzzy logic and neural networks. A FCM will be developed using NI LabVIEW software to model and control a process of dynamic system. Nowadays more autonomous and intelligent systems are very useful in many areas of people lives especially related with Complex Systems.

• Korean Management Science Review
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• v.15 no.2
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• pp.161-175
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• 1998

As organizations have come to be more complex and diverse, management has come to spend an increasing proportion of its time and efforts in handling organization conflict. Moreover, organizational conflict problems are often not recognized until the balance of interests is destroyed or a radical organizational change such as BPR takes place. Once an organizational conflict arises, however, it reduces corporate synergy seriously, leading to organizational ineffectiveness. Therefore, it is important to identify the cause of organizational conflict in advance and resolve it based on the proper diagnosis as early as possible lest it should undermine the organizational effectiveness. We propose a method that facilitates diagnosing potential organizational conflict and determining appropriate strategy to the conflict, based on the analysis of cognitive maps. To support the application of the method in the real world context, a computerized tool is introduced. The working procedures of the method and the features of the tool are illustrated with their application to the real case of the cable TV home shopping company.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.11-17
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• 2018

IDS/IPS and networked computer systems are playing an increasingly important role in our society. They have been the targets of a malicious attacks that actually turn into intrusions. That is why computer security has become an important concern for network administrators. Recently, various Detection/Prevention System schemes have been proposed based on various technologies. However, the techniques, which have been applied in many systems is useful for existing intrusion patterns on standard-only systems. Therefore, probe detection of private clouds using BlockChain has become a major security protection technology to detection potential attacks. In addition, BlockChain and Probe detection need to take into account the relationship between the various factors. We should develop a new probe detection technology that uses BlockChain to fine new pattern detection probes in cloud service security in the end. In this paper, we propose a probe detection using Fuzzy Cognitive Map(FCM) and Self Adaptive Module(SAM) based on service security using BlockChain technology.

• Korean System Dynamics Review
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• v.14 no.2
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• pp.55-69
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• 2013

The purpose of this study is to analyze nursing students' proficiency with ST(Systems Thinking) approach concerning asthma patient nursing process. For this study, 20 nursing students created causality cognitive maps which were consisted of the contents of 'asthma nursing care'. The word association and causality cognitive map were used to estimate ability of the ST. As a result, the students failed to understand the nursing process with the ST approach, or alternatively they applied low level ST approach and had a lower understanding of it. The findings of this study suggest that the development of a ST-based nursing educational program in order for nursing students to improve their ST ability as well as knowledge integration for multidisciplinary practice.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.3
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• pp.163-171
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• 2013

Various web browsers offer mouse gesture functions because they are convenient input methods. Mouse gestures enable users to move to the previous page or tab without clicking its relevant icon or menu of the web browser. To maximize the efficiency of mouse gestures, they should be designed to match users' mental models. Mental models of human beings are used to make accurate predictions and reactions when certain information has been recognized by humans. This means providing users with appropriate information about mental models will lead to fast understanding and response. A cognitive response test was performed in order to evaluate whether the mouse gestures easily associate with their respective functional meanings or not. After extracting mouse gestures which needed improvement, those were redesigned to reduce cognitive load via sketch maps. The methods presented in this study will be of help for evaluating and designing mouse gestures.

• Journal of The Korean Association For Science Education
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• v.33 no.3
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• pp.650-663
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• 2013

Multidimensional scaling can be used to identify relationships among concepts, revealing the structure of the cognitive framework by measuring distances within perceptual maps. The current study sought to examine the relationships among concepts related to photosynthesis in 2,844 $3^{rd}-11^{th}$ grade science students. The questionnaire included items on 'location,' 'products,' 'reactants,' and 'environmental factors', presenting images related to each theme. Students provided responses corresponding to particular topics, and reported the extent to which the concept was related to the topic on a scale from 1 to 30. The survey results were as follows: first, students were not able to clearly distinguish between or understand the four main topics. Second, students organized their cognitive structures by closely associating related concepts after learning. Third, the presented concepts revealed a mixture of scientific and non-scientific concepts, suggesting that students needed to clearly distinguish the preconceptions through which they organized concepts, so that they are suitable for cognitive structures based on learning. Furthermore, non-scientific concepts within perceptions were consistently maintained throughout learning, affecting the proximity of scientific concepts.

• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.9-16
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• 2005

Recently, since the number of internet users is increasing rapidly and, by using the Public hacking tools, general network users can intrude computer systems easily, the hacking problem is setting more serious. In order to prevent the intrusion. it is needed to detect the sign in advance of intrusion in a Positive Prevention by detecting the various forms of hackers intrusion trials to know the vulnerability of systems. The existing network-based anomaly detection algorithms that cope with port-scanning and the network vulnerability scans have some weakness in intrusion detection. they can not detect slow scans and coordinated scans. therefore, the new concept of algorithm is needed to detect effectively the various. In this Paper, we propose a detection algorithm for session patterns and FCM.