• Annual Conference on Human and Language Technology
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• 2001.10d
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• pp.226-232
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• 2001

본 연구는 결속장치(cohesive devices)가 과학텍스트의 읽기 속도와 내용 이해에 끼치는 영향에 대해 연구하였다. 연구의 목적을 위한 실험을 통해서 먼저, 텍스트의 문단별 읽기 시간을 측정하여 온라인 처리 과정을 검토하였고, 둘째, 회상과 재인 검사를 실시하여 오프라인 상태에서의 이해도를 조사하였다. 이 연구의 재료로 사용된 텍스트는 번개 생성과정에 대한 과학텍스트로서, 반복, 지시사, 정박(anchoring), 인과적 접속사 등의 결속장치를 이용하여 응집성(coherence)의 강도를 높고, 낮게 조작하였다. 실험 결과, 결속장치가 길속장치의 종류와 지엽적 응집성의 강도에 따라 과학텍스트 읽기와 이해에 선택적으로 영향을 끼친다는 것을 발견하였다. 첫째, 인과적 접속사는 읽기 시간에는 영향을 주지 않는 반면, 이해를 촉진했는데, 이 긍정적 효과는 과제의 종류에 따라 다르게 나타났다. 즉, 회상 검사 결과에서는 인과적 접속사가 쓰인 모든 문단에서 유의한 차이가 나타났으나, 재인 검사에서는 유의한 차이가 부분적으로만 나타났다. 둘째, 반복 결속장치는 다른 결속장치와 같이 발생할 경우에만 읽기 시간과 이해를 부분적으로 촉진하는 것으로 나타났다. 셋째. 정박 결속장치의 영향은 읽기와 이해 두 처리 과정에 모두 선택적으로 영향을 준 것으로 나타났다. 인과적 접속사와 함께 쓰인 문단의 경우에는 회상 검사에서만, 반복 결속장치가 함께 쓰인 문단에서는 회상, 재인 검사에서 모두 긍정적 영향을 준 것으로 관찰되었다.

• Korean Journal of Adult Nursing
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• v.20 no.5
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• pp.675-684
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• 2008

Purpose: The purpose of this study was to examine the relationship among cognitive function, depression, social support, and self-care in elderly with hypertension. Methods: The subjects were 132 elderly with hypertension living in Seoul, Korea. Data were collected through face-to-face interviews using the Korean version of Mini-Mental State Examination(MMSE-K), Short form geriatric depression scale, social support questionnaire 6, and hypertension self-care scale. Results: Thirty-four percent of the subjects had questionable dementia and forty-two percent of the subjects were depressed. Means for social support were 2.40 for network size and 4.07 for satisfaction. The mean score of hypertension self-care was 60.34, indicating that the subjects took care of themselves moderately well. Cognitive function was negatively related to depression. Social support network and satisfaction were negatively related to depression. Self-care was negatively related to social support network. Conclusion: Programs are needed for elderly with hypertension to improve their cognitive function, depression, and social support. Also further studies are needed to confirm the factors related to self-care in the elderly with hypertension.

• Journal of Distribution Science
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• v.17 no.8
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• pp.45-56
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• 2019

Purpose - This study aimed at investigating the mediation roles of attitude dimensions in the effects of involvement type on hedonic product purchase intention and moderation role of lay rationalism in the effects of involvement type on attitude dimensions. Research design, data, and Methodology - "Wenjuanxing" was used online to make questionnaire, which was loaded on Wechat and QQ. 125 data were collected online in China. The Process macro model 58 including moderation of the two paths in the causal sequence was used to verify hypotheses. Results and Conclusions - First, cognitive (affective) involvement had positive effect on the utilitarian (hedonic) dimension of consumer attitude and the purchase intention. Second, hedonic dimension of attitude had positive effects on purchase intention, but utilitarian dimension of attitude had not significant positive effects on purchase intention. Third, Lay rationalism did decrease (did not increase) the positive effects of affective (cognitive) involvement on hedonic (utilitarian) dimension of attitude. Therefore Marketing managers should understand the differences between the cognitive involvement and affective involvement, and develop the ways by which they attract consumers to choose their hedonic product. And they should give affective (cognitive) information to the customers with low (high) rationalism consumers when they do marketing for their hedonic product.

• The Journal of Korean Physical Therapy
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• v.22 no.2
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• pp.7-13
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• 2010

Purpose: This study was designed to determine the correlation between faster response time and functional activities of brain regions during cognitive time management. Methods: Twelve healthy subjects participated in this experiment. Subjects performed the serial reaction time task (SRTT), which was designed by the Superlab program, during fMRI scanning. When the 'asterisk' appeared in the 4 partition spaces on the monitor, the subject had to press the correct response button as soon as possible. Results: fMRI results showed activation of the left primary sensorimotor cortex, both premotor areas, the supplementary motor area, posterior parietal cortex and cerebellum. There were significant correlations, from moderate to strong, between faster reaction time and BOLD signal intensity in activated areas. Conclusion: These results suggest that motor skill learning to be needed cognitive time management is associated with greater activation of large scale sensorimotor networks.

• Journal of Korean Physical Therapy Science
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• v.27 no.2
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• pp.48-62
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• 2020

Purpose: The purpose of the study was to identify the mediating effects of social support and self-efficacy between academic stress and college adjustment in physical therapy students. Design: Survey. Methods: 75 subjects were surveyed about the level of academic, Academic Stress, College Adjustment, Social Support, Self-Efficacy, and self-control. To confirm the cognitive function on brain activity were evaluated. Results: First, College students have higher academic stress and lower college adjustment. Higher social support and self-efficacy have lower academic stress and better college adjustment. Second, students with high academic stress need constant attention to increase their social support and programs to reduce academic stress. Third, students with high academic stress, low social support, and low self-efficacy can increase their cognitive strength through the brain wave thereby reducing the academic stress they are currently feeling. Conclusion: In order to improve the College Adjustment, it is considered that it is important to increase the cognitive function through brain train along with the development of a student management program that can reduce academic stress and increase social support and self-efficacy.

• Journal of Communications and Networks
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• v.14 no.6
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• pp.619-628
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• 2012

The ZigBee network has been considered to monitor electricity usage of home appliances in the smart grid network. ZigBee, however, may suffer from a coexistence problem with wireless local area network (WLAN). In this paper, to resolve the coexistence problem between ZigBee network and WLAN, we propose a new protocol constructing a cognitive smart grid network for supporting monitoring of home appliances. In the proposed protocol, home appliances first estimates the transmission timing and channel information of WLAN by reading request to send/clear to send (RTS/CTS) frames of WLAN. Next, based on the estimated information, home appliances transmit a data at the same time as WLAN transmission. To manage the interference between WLAN and smart grid network, we propose a cognitive beamforming algorithm. The beamforming algorithm is designed to guaranteeing zero interference to WLAN while satisfying a required rate for smart metering. We also propose an energy efficient rate adaptation algorithm. By slowing down the transmission rate while satisfying an imperceptible impact of quality of service (QoS) of the receiver, the home appliance can significantly save transmit power. Numerical results show that the proposed multiple antenna technique provides reliable communications for smart metering with reduced power comparing to the simple transmission technique.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.229-236
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• 2012

소프트웨어 기반의 시스템 설계과정에서 설계자가 고려해야 하는 요소들이 다양해지면서 시스템 설계가 점점 어려워지고 있다. 다양한 설계 요소들이 존재하지만 사용자의 특성 및 직무, 사용가능한 정보기술의 특성 등이 핵심적인 요소로 간주된다. 또한 정보기술이 발달하면서 인간과 시스템의 상호작용이 점점 인지적인 특징을 지니게 되었다. 따라서 사용성 높고, 효율적이면서 안전한 소프트웨어 기반의 시스템을 개발하기 위해서는 시스템 설계자가 사용자의 인지적인 요구사항 및 그들의 직무를 시스템 설계과정에서 체계적으로 다룰 수 있어야 한다. 그러나 소프트웨어 공학, 시스템 공학 및 인간-컴퓨터 상호작용 등에서의 전통적인 시스템 설계 방법은 이러한 설계자의 설계활동을 효과적으로 지원하는데 한계가 있었다. 그 대안으로 인지시스템공학(cognitive systems engineering; CSE)은 인간중심의 설계철학을 바탕으로 소프트웨어 기반의 복잡한 시스템 설계과정에서 설계자의 활동을 체계적으로 도와줄 수 있는 유용한 개념과 방법을 제공해주고 있다. CSE는 원래 사람이 실시간으로 감시 및 제어해야 하는 복잡한 사회기술적 시스템(예: 원자력발전소 및 공항관제소)의 분석, 설계 및 평가를 위해 태동한 학문이다. 그러나 CSE에서 제공하는 이론적 및 방법론적 프레임워크는 소프트웨어 기반의 시스템을 설계하는 데에도 유용하게 활용할 수 있는 충분한 가능성을 갖고 있다. 이 논문은 CSE의 근간을 이루는 핵심 개념 및 원칙을 고찰하고 소프트웨어 기반 시스템 설계에의 활용가능성 및 그 방안을 논의한다.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.1 no.1
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• pp.1-8
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• 2020

Recent studies revealed that many animals identify individual humans. In this account, we review previous literatures on individual human recognition by wild or domestic animals and discuss the three hypotheses: "high cognitive abilities" hypothesis, "close human contact" and "pre-exposure to stimuli" hypothesis. The three hypotheses are not mutually exclusive. Close human contact hypothesis is an ultimate explanation for adaptive benefits whereas high cognitive abilities and pre-exposure to stimuli hypothesis are proximate explanations for mechanisms to perform such discriminatory behaviour. We report a case study of two bird species in a human-free habitat. Long-tailed skuas, which are known for having high cognitive abilities, exhibited the human discriminatory abilities whereas ruddy turnstones did not display such abilities toward approaching humans. This suggests that highly intelligent species may have this type of discriminatory ability so that they could learn to identify individual humans quickly by pre-exposure to stimuli, even in a human-free habitat. Here, we discuss that human recognition is more common in species with rapid learning ability and it could develop for a short period of time between an intelligent species and human.

• Journal of Korean Biological Nursing Science
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• v.20 no.4
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• pp.221-227
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• 2018

Purpose: This study aimed to evaluate the effect of illness perception on depression and quality of life in patients with hemodialysis. Methods: This is a cross-sectional study using structural equation modeling. Depression, quality of life and cognitive and emotional illness perceptions were measured by the Center for Epidemiologic Studies Depression-10 (CESD-10), Short Form-36 version 2 (SF-36v2), and Brief Illness Perception Questionnaire (BIPQ) in 272 hemodialysis patients. Results: Prevalence of depression was 76.1%, and higher in female patients on hemodialysis. Cognitive illness perception had effect on depression and quality of life, while emotional illness perception had effect only on depression. Quality of life was explained 69.6% through depression (${\beta}=-.74$, t= -8.17) and cognitive illness perceptions (${\beta}=.21$, t= 3.06), while depression was explained 40.5% through cognitive (${\beta}=-.34$, t= -5.99) and emotional (${\beta}=.59$, t= 9.37) illness perceptions. Conclusion: In the inevitable choice of dialysis, illness perception could decrease depression and improve quality of life in hemodialysis patients.

• Journal of Biomedical Engineering Research
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• v.42 no.4
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• pp.186-192
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• 2021

In this paper, we evaluated prediction accuracy of Euler angle spectrograph classification method using a convolutional neural networks (CNN) for hand gesture recognition in augmented reality (AR) cognitive rehabilitation system based on Leap Motion Controller (LMC). Hand gesture recognition methods using a conventional support vector machine (SVM) show 91.3% accuracy in multiple motions. In this paper, five hand gestures ("Promise", "Bunny", "Close", "Victory", and "Thumb") are selected and measured 100 times for testing the utility of spectral classification techniques. Validation results for the five hand gestures were able to be correctly predicted 100% of the time, indicating superior recognition accuracy than those of conventional SVM methods. The hand motion recognition using CNN meant to be applied more useful to AR cognitive rehabilitation training systems based on LMC than sign language recognition using SVM.