• Asia pacific journal of information systems
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• 제30권1호
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• pp.167-187
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• 2020

College students experience more cyber bullying than youth and cyber bullying on college students may be more harmful than youth. But many studies of cyber bullying have been conducted in youth, but little has been studied for college students. Therefore, this study investigated the negative effects of college students' cyber bullying experience on cognitive processing ability and emotional states. The social support of friends has a buffering effect that prevents stress and reduces the influence on external damage in stressful situations. But the impact of parental social support is controversial. Traditionally, the social support of parents has been claimed to mitigate the negative effects of external damage. Recently, however, it has been argued that parental social support, without considering the independence and autonomy needs of college students, does not alleviate the negative effects. Therefore, this study examined how the social support of friends and parents moderate the negative impact of cyber bullying. The results show that the more college students experience cyber bullying, the lower their cognitive processing ability and emotional states. And, the higher the social support of friends, the lower the harmful impacts of cyber bullying on cognitive processing ability and emotional states. But, the higher the social support of parents, the higher the harmful impacts of cyber bullying on cognitive processing ability and emotional states.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(5)
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• pp.61-64
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• 2001

This paper describes a basic study for the classification of cognitive mental states as a basic research of a human-computer interface technique. To recognize the mental states, we obtained 22 subjects’brain waves in course of two types of experiments. One of the experiments is to choose an answer among yes, no or reject buttons, to underlying questions and the other is to select an icon displayed in a monitor screen. After acquiring the brain wave signals, we construct a feature set with the percent power increase for a given segment with respect to that of the reference period. The linear discriminative algorithm is used to classify the cognitive yes/no mental states.

• International Journal of Contents
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• 제8권4호
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• pp.56-63
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• 2012

In recent decades, analyzing the activities of human brain achieved some accomplishments by using the functional Magnetic Resonance Imaging (fMRI) technique. fMRI data provide a sequence of three-dimensional images related to human brain's activity which can be used to detect instantaneous cognitive states by applying machine learning methods. In this paper, we propose a new approach for distinguishing human's cognitive states such as "observing a picture" versus "reading a sentence" and "reading an affirmative sentence" versus "reading a negative sentence". Since fMRI data are high dimensional (about 100,000 features in each sample), extremely sparse and noisy, feature selection is a very important step for increasing classification accuracy and reducing processing time. We used the Fisher Discriminant Ratio to select the most powerful discriminative features from some Regions of Interest (ROIs). The experimental results showed that our approach achieved the best performance compared to other feature extraction methods with the average accuracy approximately 95.83% for the first study and 99.5% for the second study.

• 성인간호학회지
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• 제20권4호
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• pp.600-612
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• 2008

Purpose: This study was conducted to compare the recovery state of 6 month between s-ICH and s-SAH patients. The patients' recovery state was measured with 2 dimensions: functional and cognitive. Methods: Non-experimental prospective design was adopted by including 108 hemorrhagic stroke patients(s-ICH: 52 vs s-SAH: 56) admitted to Intensive Care Unit of one university hospital. Results: The study results showed that overall functional recovery state of s-SAH patients was better than that of s-ICH patients, and s-SAH patients also showed better recovery states in all of the sub-dimensions of functional recovery, such as feeding, grooming, and toileting, than those of s-ICH in 6 month. On the contrary, the study results showed that overall cognitive recovery states of 6 month between two groups were not significantly different. However, according to the results comparing the sub-dimensions of cognitive recovery, s-SAH patients' recovery states on attention, communication and memory were significantly better than those of s-ICH patients, while recovery states on problem solving, safety behavior, and social behavior between 2 groups were not significantly different. Conclusion: From the study results, it was noted that s-SAH patients showed better recovery states in cognitive dimension as well as in functional dimension compared with s-ICH patients.

• 스마트미디어저널
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• 제5권1호
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• pp.30-37
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• 2016

In recent decades, the study of human brain function has dramatically increased thanks to the advent of Functional Magnetic Resonance Imaging. This is a powerful tool which provides a deep view of the activities of the brain. From fMRI data, the neuroscientists analyze which parts of the brain have responsibility for a particular action and finding the common pattern representing each state involved in these tasks. This is one of the most challenges in neuroscience area because of noisy, sparsity of data as well as the differences of anatomical brain structure of each person. In this paper, we propose the use of appropriate discriminant methods, such as Fisher Discriminant Ratio and hypothesis testing, together with strong boosting ability of Adaboost classifier. We prove that discriminant methods are effective in classifying cognitive states. The experiment results show significant better accuracy than previous works. We also show that it is possible to train a successful classifier without prior anatomical knowledge and use only a small number of features.

• 성인간호학회지
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• 제24권5호
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• pp.540-545
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• 2012

Purpose: The purpose of the study was to compare level of functional independence and its correlates among community-dwelling older adults in rural areas between South Korea and the United Sates. Methods: The study employed a comparative and correlational design. Data were collected from 198 community-dwelling older adults in rural areas (South Korea=100, & US = 98). Functional independence, cognitive function, obesity and general characteristics were measured. Results: From both countries, approximately fifteen percent of older adults living independently had cognitive problems without any treatments. Among Korean older adults functional independence was associated with a number of chronic diseases and aging while in the United States the participants had a negative correlation with obesity and aging. Conclusion: For Korean older adults in rural areas, nurses should focus on monitoring older adults' abilities to manage chronic illness and designing self-management programs while in the United States the focus should be on healthy lifestyle programs about exercise and diet to increase functional independence.

• 전기학회논문지P
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• 제63권1호
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• pp.34-39
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• 2014

In cognitive radios, secondary users can use the spectrum exclusively allocated to a primary wireless system if the secondary users detect the spectrum in idle states. Because the secondary users can utilize the idle state of the spectrum, the utilization rate of the spectrum can be improved. The idle states can be detected by using secondary users' sensing schemes. However, the wireless channel environment where secondary users perform the spectrum sensing is not very friendly to secondary users because the signal-to-noise ratio of the received primary signal is very low. Hence, cooperative sensing scheme where more than one secondary user take part in the spectrum sensing is generally used in cognitive radios. In this paper, we investigate the cooperative sensing performance for machine-to-machine communication devices operated by batteries with limited energy. In general, the energy consumed for the spectrum sensing increases as the length of the sensing period and the number of cooperative sensing nodes. Accordingly, even though the total amount of the consumed energy is the same, an energy allocation methodology how to distribute the energy to the sensing period and sensing nodes can achieve the optimum sensing performance, which is numerically analyzed.

• 한국도서관정보학회지
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• 제48권3호
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• pp.281-302
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• 2017

본 연구는 두 집단간에 복잡한 정보검색임무를 수행하는 동안 이용자의 정신상태의 차이점을 살펴보고자 하였다. 실험과 질문지를 통해서 데이터를 수집하고 분석하였고, 그 결과 정신적요구를 받은 참여자들이 안받은 참여자들보다 검색 중 생각을 더 많이 한 것으로 보이고, 부정적인 감정표현을 더 자주 한 것으로 보이고, 노력을 덜 한 것으로 보이며, 검색수행능력이 훼방을 받은 것으로 드러났다. NASA-TLX의 검사결과는 정신적요구, 수행능력, 좌절감에서 주요한 차이를 보이는 것으로 나타났다. 이러한 연구결과는 인터페이스 디자인이나 정보검색 시스템등의 개발에 도움을 줄 것으로 기대한다.

• 국제물리치료학회지
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• 제5권2호
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• pp.730-737
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• 2014

The aim of this study is to examine the effects of virtual reality cognitive rehabilitation program on cognitive function, physical function and depression of long-term care insurance nongrading elderly dementia using Daytime protection service. For achieve this purpose, 30 dementia elderly were randomly assigned in to the experimental group(n=15)and control group(n=15). All subjects performed a general therapeutic exercise and 20- 30minutes takes virtual reality cognitive rehabilitation program were conducted with experimental group 2 times a week for 8 weeks. The intervention effects were measured by using cognitive function is mini-mental states examination-Korean version(MMSE-K), visual perception is MVPT(Motor-Free Visual Perception Test), Berg's balance scales(BBS), depression test GDS-K and lower limb strength. The results of study represented that the training group showed significant improvement in MMSEK( p<.05), visual perception(p<.05), balance(p<.05), lower limb strength(p<.05) and depression (p<.05). In conclusion, the virtual reality cognitive rehabilitation training using improves visual perception included cognitive function, physical function included balance, and lower limb strength and depression. These results suggest that virtual reality training using virtual reality cognitive rehabilitation program is feasible and suitable for mild dementia.

• 인지과학
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• 제13권3호
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• pp.11-21
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• 2002

쾌-불쾌, 각성-수면의 2차원 감정상태 공간에서 임의의 좌표값을 지정하면 Parke와 Waters［1］의 근육 기반 얼굴모형에 근거하여 그것에 해당하는 표정을 자동 합성할 수 있는 시스템을 개발하였다. 얼굴 변형의 준거 설정을 위하여 정찬섭, 오경자, 이일병과 변혜란［2］의 표정 DB에 수록된 표정 자료 및 내적감정상태 모형을 사용하였다. DB 내 표정 자료들은 감정 모형에 근거하여 차원값 및 범주로 기술된 내적상태 정보를 포함하고 있었다. 내적상태 변화에 따른 표정의 변형 규칙을 찾기 위해 표집된 표정들에 대해 21개 얼굴 근육의 변화량을 측정하였다. 내적감정상태와 얼굴 근육들의 관계 구조를 파악하기 위해 수집된 자료들을 대상으로 회귀분석을 실시하였다. 이러한 과정을 거쳐 얻어진 변형 규칙은 꽤-불쾌 및 각성-수면 차원값으로 주어지는 내적상태에 대한 자연스러운 표정을 합성해내었다. 이같은 결과는 방대한 양의 자료 및 개별 근육의 변화를 포착하는 회귀분석으로부터 도출된 규칙이 얼굴표정을 합성하는데 유용하고 강력한 도구가 될 수 있음을 시사한다.