• Culinary science and hospitality research
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• v.22 no.5
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• pp.134-150
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• 2016

The purpose of this study is to investigate the recognition and preference for temple food between Korea and foreign national temple-stay participants. In order to achieve the research purpose, 220 research questionnaires were distributed to Korean and foreigners who have participated in a temple-stay. T-test and ANOVA analyses were performed for this study. The findings are summarized as follows. The highest recognition item for Korean temple food that the subjects perceived was 'I think Korean temple food is a medicinal food.'(4.31 points). In the value recognition score for Korean temple food, Asians(4.58 points) are relatively higher than Korean (4.23 points), North American (4.13 points) and European (3.94 points) participants. Participants in Asia appeared relatively higher than the others in the preference score on Korean temple food. The higher globalization strategy items of Korean temple food that the subjects perceived were 'Korean temple food needs a storytelling marketing'(3.94 points) and 'Korean temple food needs a modernization of cookware'(3.90 points).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.4
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• pp.577-586
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• 2024

As new technologies are developed, new security threats such as the emergence of AI technologies that create ransomware are also increasing. New security equipment such as XDR has been developed to cope with these security threats, but when using various security equipment together rather than a single security equipment environment, there is a difficulty in creating numerous regular expressions for identifying and classifying essential data. To solve this problem, this paper proposes a method of identifying essential information for identifying threat information by introducing artificial intelligence-based entity name recognition technology in various security equipment usage environments. After analyzing the security equipment log data to select essential information, the storage format of information and the tag list for utilizing artificial intelligence were defined, and the method of identifying and extracting essential data is proposed through entity name recognition technology using artificial intelligence. As a result of various security equipment log data and 23 tag-based entity name recognition tests, the weight average of f1-score for each tag is 0.44 for Bi-LSTM-CRF and 0.99 for BERT-CRF. In the future, we plan to study the process of integrating the regular expression-based threat information identification and extraction method and artificial intelligence-based threat information and apply the process based on new data.

• The Journal of the Acoustical Society of Korea
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• v.18 no.3
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• pp.3-9
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• 1999

This paper presents the study on the rejection capability based on anti-phone modeling for vocabulary independent speech recognition system. The rejection system detects and rejects out-of-vocabulary words which were not included in candidate words which are defined while the speech recognizer is made. The rejection system can be classified into two categories by their implementation methods, keyword spotting method and utterance verification method. The keyword spotting method uses an extra filler model as a candidate word as well as keyword models. The utterance verification method uses the anti-models for each phoneme for the calculation of confidence score after it has constructed the anti-models for all phonemes. We implemented an utterance verification algorithm which can be used for vocabulary independent speech recognizer. We also compared three kinds of means for the calculation of confidence score, and found out that the geometric mean had shown the best result. For the normalization of confidence score, usually Sigmoid function is used. On using it, we compared the effect of the weight constant for Sigmoid function and determined the optimal value. And we compared the effects of the size of cohort set, the results showed that the larger set gave the better results. And finally we found out optimal confidence score threshold value. In case of using the threshold value, the overall recognition rate including rejection errors was about 76%. This results are going to be adapted for stock information system based on speech recognizer which is currently provided as an experimental service by Korea Telecom.

• Korean Journal of Community Nutrition
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• v.12 no.6
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• pp.724-741
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• 2007

This study was carried out to investigate the body weight controls and eating disorders of university students in Gunsan. The subject of the present study included 229 male students (53.8%) and 197 female students (46.2%), totalling 426 students from Kunsan University. The subjects consisted of 56 underweight (13.1%), 265 with normal weight (62.2%), and 105 overweight (24.6%). Especially, in females, 20.8% of them were underweight, which is 6.6% higher than males, showing a significant difference (p<0.001). Regarding body image, 21.8% of the males thought they were fat, while 40.6% of the females thought they were fat. Regarding the perceived body type, shown in the difference between their own size and the ideal size, males recorded 0.03, while females recorded 1.75, showing a major significant difference (p<0.001). Regarding body satisfaction, 33.2% of the males were unsatisfied, while 52.8% of the females were unsatisfied (p<0.001). The social expectations of the male subjects' sizes and weights recorded 2.04, while that of females recorded -2.51, showing that people's opinions expected the female subjects' bodies to be thinner (p<0.001). Additionally, the social expectation of the subjects' weight control recorded an average of 15.22 (13.92 for males, 16.73 for females), showing that the female subjects' felt that people's opinions wished them to lose their weight (p<0.001). Regarding the recognition on weight control, interested males were 49.4%, while interested females were 86.8%, showing the females superior rate (p<0.001). The beliefs in relation to weight control recorded an average of 62.01, with the score of females of 67.89 being significantly higher than that of males which was 56.96. The subjects showed a relatively positive response towards weight control (p<0.001). EAT-26 score was employed to determine the eating attitudes in relation to gender. Here, the final score of males was 15.46, which was significantly lower than that of females, which was 22.21 (p<0.001). Furthermore, regarding the score of eating attitudes in relation to obesity index, the eating disorder scale scores on the questions related to bulimia and diets to lose weight as weight increases were high. However, the eating disorder scale score on oral control, which actually controls food, was low. To control the expansion of excessive weight control attempts and their side effects, the recognition of the students' body types needs to be corrected, and nutrition education programs on eating habits and eating disorders to foster proper weight loss are deemed necessary.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.495-504
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• 2016

The purpose of this study was conducted to investigate the perception and attitude toward physical restraints among elderly care workers. The subjects were 153 care workers who are working at elderly care facilities within the regions. Data were collected by structured questionnaires. Collected data were analyzed using descriptive statistics, t-test, ANOVA, $Scheff{\acute{e}}$ test and Pearson Correlation Coefficient. The mean score of the perception for physical restraints was 2.83 out of 5, and the mean score of the attitude for the physical restraints was 3.56 out of 5. There was a statistically significant positive correlation between the perception and attitude about physical restraints (r=.31, p<.001). This research has confirmed that it is necessary for care workers to have education about low score items of recognition and attitude about physical restraints. Therefore, we need to develop proper and efficient educational program about use method for physical restraints, and need to develop guideline for adopting physical restraints. Also, we should make efforts and attentions to reduce or abolish physical restraints in order to protect the elderly human rights.

• PNF and Movement
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• v.20 no.3
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• pp.307-319
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• 2022

Purpose: This study aimed to investigate the perceptions of tele-physical therapy of health and non-health majors. It can provide basic research data for the provision of medical services in the future by identifying the level of awareness of the need for tele-physical therapy and the factors that affect it. Methods: The subjects were adults aged 20 to 29 in Korea, with 199 participants consisting of 83 health majors and 116 non-health majors. The survey was conducted over a period of 14 days. The survey comprised 19 questions, including 10 questions about general characteristics and 9 questions about tele-physical therapy recognition. The results were statistically analyzed using a statistical package program. Results: There was a significant difference between the two groups regarding the recognition of tele-physical therapy, with an average of 2.64 points in health majors and an average of 1.71 points in non-health majors, showing a low overall score. There was no significant difference in perception of the necessity of tele-physical therapy, with an average of 3.71 points in health majors and an average of 3.49 points in non-health majors, showing a high score, which was defined as a score of 3 or higher. Conclusion: Health and non-health majors showed low awareness of tele-physical therapy. A high level of perceived necessity for tele-physical therapy was shown. In the perception of tele-physical therapy in health majors, 'awareness', 'health improvement', and 'convenience' affect the perception of the necessity of tele-physical therapy. In non-health majors, 'knowledge and skills', 'health improvement', 'expected treatment satisfaction', and 'resolving restrictions on hospital visits' affect the perception of the necessity of tele-physical therapy.

• The Journal of Dong Guk Oriental Medicine
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• v.6 no.2
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• pp.167-190
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• 1998

Nowadays there were two tendencies of studies about prognostic factors in stroke. One way was to define prognostic factors according to the radiological features. And the other way was to define according to the mental state, recognition, perception, motors, language, urinary&bowel incontinence etc.. The former could be objectively investigated, while the latter was difficult. The purpose of this study was to determine which variables would be predictors of stroke and which factors would be affect predictions most. The subjects of this study were 32 patients who were admitted to the Dept. of Internal Medicine, Dongguk Univ. College of Oriental Medicine whthin 48 hours from attack, Medical records were reviewed FIM, CNS, NIH stroke scale. We compared each sub-items of FIM, CNS, NIH stroke scale about mental state, recognition, perception, motors, language, urinary&bowel incontinence with MBI score at 4 weeks from admission. Also, we analyzed the correlations of sub-items and groups which devided into 5 according to independence of MBI score. And we found out the most influent factors with multiple regression analysis. The major results were as follows; 1. In mean of MBI score at 4 weeks of each groups devided low, middle, high score at mental state, recognition, perception, motors, language, urinary&bowel incontinence items, there were statistical differences in all items. 2. The mental state and lim ataxia sub-items had no significant correlations with groups divided according to independence of MBI score. All the other items were significantly correlated. 3. The most influent factors was recognition. The second was sensory and the third was bowel incontinence. 4. The most influent scales was FIM, and the second was CNS, and NlH had no statistical significancy.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.327-329
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• 2017

개체명 인식(Named Entity Recognition) 시스템은 문서에서 인명(PS), 지명(LC), 단체명(OG)과 같은 개체명을 가지는 단어나 어구를 해당 개체명으로 인식하는 시스템이다. 개체명 인식 시스템을 개발하기 위해 딥러닝 기반의 워드 임베딩(word embedding) 자질과 문장의 형태적 특징 및 기구축 사전(lexicon) 기반의 자질 구성 방법을 제안하고, bi-directional LSTM, CNN, CRF과 같은 모델을 이용하여 구성된 자질을 학습하는 방법을 제안한다. 실험 데이터는 2017 국어 정보시스템 경진대회에서 제공한 2016klpNER 데이터를 이용하였다. 실험은 전체 4258 문장 중 학습 데이터 3406 문장, 검증 데이터 426 문장, 테스트 데이터 426 문장으로 데이터를 나누어 실험을 진행하였다. 실험 결과 본 연구에서 제안하는 모델은 BIO 태깅 방식의 개체 청크 단위 성능 평가 결과 98.9%의 테스트 정확도(test accuracy)와 89.4%의 f1-score를 나타냈다.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.327-329
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• 2017

개체명 인식(Named Entity Recognition) 시스템은 문서에서 인명(PS), 지명(LC), 단체명(OG)과 같은 개체명을 가지는 단어나 어구를 해당 개체명으로 인식하는 시스템이다. 개체명 인식 시스템을 개발하기 위해 딥러닝 기반의 워드 임베딩(word embedding) 자질과 문장의 형태적 특징 및 기구축 사전(lexicon) 기반의 자질 구성 방법을 제안하고, bi-directional LSTM, CNN, CRF과 같은 모델을 이용하여 구성된 자질을 학습하는 방법을 제안한다. 실험 데이터는 2017 국어 정보시스템 경진대회에서 제공한 2016klpNER 데이터를 이용하였다. 실험은 전체 4258 문장 중 학습 데이터 3406 문장, 검증 데이터 426 문장, 테스트 데이터 426 문장으로 데이터를 나누어 실험을 진행하였다. 실험 결과 본 연구에서 제안하는 모델은 BIO 태깅 방식의 개체 청크 단위 성능 평가 결과 98.9%의 테스트 정확도(test accuracy)와 89.4%의 f1-score를 나타냈다.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.575-579
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• 1990

This paper describes an algorithm that can efficiently analyze the multichannel ECG signal using the frame. The input is a set of significant features (points) which have been extracted from an original sampled signal by using the split-and-merge algorithm. A signal from each channel can be hierarchical ADN/OR graph on the basis of the priori knowledge for ECG signal. The search mechanisms with some heuristics and the mixed paradigms of data-driven hypothesis formation are used as the major control mechanisms. The mutual relations among features are also considered by evaluating a score based on the relational spectrum. For recognition of morphologies corresponding to OR nodes, an hypothesis modification strategy is used. Other techniques such as instance, priority update of prototypes, and template matching facility are also used. This algorithm exactly recognized the primary points and supporting points from the multichannel ECG signals.