• Cross-Cultural Studies
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• v.31
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• pp.35-64
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• 2013

This thesis seeks to compare China's Jing-ju and Japan's Kabuki for their common aspects and differences and examine how they are performed on the stage. Jing-ju is often called as Beijing Opera to refer to a musical play completed during the mid-Ching era and developed around Beijing. Jing-ju is composite arts of music, dance and play which are remarkable in its strict patterns in move along with luxurious costume and heavy make-up. Kabuki which was developed during the Edo-period, is expressional arts also structured with music, dance and play coupled with extravagant costume as well as even more strictly controlled move and emphasis on the beauty of form. The two plays seem very similar to each other in their time setting to gain popularity or features of play. It may look obvious that Jing-ju which had developed earlier than Kabuki, affected the latter's formation. However, general social practices or cultural trends in China and Japan at the time of their development also influenced literature and arts thus affecting play contents and performance expressions. Although the two plays have similar stage structure, they developed in different ways with detailed differences and actors' performance on the stage, way of using a stage and other ways of directing play are largely distinctive from each other. If a play's primary goal is to gain recognition of audience and draw their positive response, the relationship between play and stage becomes essential. With this understanding, this thesis aims to identify where such similarities and differences between the two plays are from by comparing historical background, stage structural development and directing manner development at a basic level.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.15-23
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• 2021

In most hacking attacks, hackers intrudes inside for a long period of time and attempts to communicate with the outside using a circumvent connection to achieve purpose. research in response to advanced and intelligent cyber threats has been mainly conducted with signature-based detection and blocking methods, but recently it has been extended to threat hunting methods. attacks from organized hacking groups are advanced persistent attacks over a long period of time, and bypass remote attacks account for the majority. however, even in the intrusion detection system using intelligent recognition technology, it only shows detection performance of the existing intrusion status. therefore, countermeasures against targeted bypass rwjqthrwkemote attacks still have limitations with existing detection methods and threat hunting methods. in this paper, to overcome theses limitations, we propose a model that can detect the targeted circumvent connection remote attack threat of an organized hacking group. this model designed a threat hunting process model that applied the method of verifying the origin IP of the remote circumvent connection, and verified the effectiveness by implementing the proposed method in actual defense information system environment.

• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.51-58
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• 2007

This paper suggests prototype of dialog system combining VXML(VoiceXML) that is the W3C's standard XML format for specifying interactive voice dialogues between human and computer, and RSS(RDF Site Summary or Really Simple Syndication) that is representative technology of semantic web for syndication and subscription of updated web-contents. Merits of the proposed system are as following: 1) It is a new method that recognize spoken contents using ire and wireless telephone networks and then provide contents to user via STT(Speech-to-Text) and TTS(Text-to-Speech) instead of traditional method using web only. 2) It can apply advantage of RSS that subscription of updated contents is converted to VXML without modifying traditional method to provide RSS service, 3) In terms of users, it can reduce restriction on time-spate in search of contents that is provided by RSS because it uses ire and wireless telephone networks, not internet environment. 4) In terms of information provider, it does not need special component for syndication of the newest contents using speech recognition and synthesis technology. We implemented a news service system using VXML and RSS for performance evaluation of the proposed system. In experiment results, we estimated the response time and the speech recognition rate in subscription and search of actuality contents, and confirmed that the proposed system can provide contents those are provided using RSS Feed.

• Journal of the Korea Society of Computer and Information
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• v.19 no.3
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• pp.25-35
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• 2014

This paper proposes a method of boosting-based classification for the purpose of real-time face detection. The proposed method uses depth images to ensure strong performance of face detection in response to changes in lighting and face size, and uses the depth difference feature to conduct learning and recognition through the I-MCTBoost classifier. I-MCTBoost performs recognition by connecting the strong classifiers that are constituted from weak classifiers. The learning process for the weak classifiers is as follows: first, depth difference features are generated, and eight of these features are combined to form the weak classifier, and each feature is expressed as a binary bit. Strong classifiers undergo learning through the process of repeatedly selecting a specified number of weak classifiers, and become capable of strong classification through a learning process in which the weight of the learning samples are renewed and learning data is added. This paper explains depth difference features and proposes a learning method for the weak classifiers and strong classifiers of I-MCTBoost. Lastly, the paper presents comparisons of the proposed classifiers and the classifiers using conventional MCT through qualitative and quantitative analyses to establish the feasibility and efficiency of the proposed classifiers.

• Child Health Nursing Research
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• v.5 no.3
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• pp.292-304
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• 1999

The lengthened average span of human life by virtue of recent developments in medicine has caused the Population of elders to increase. The development of modern industrial society has transformed family structure from the large family system to that of a nuclear family. Due to the shift in family structure, the problem of support for the aged has surfaced as a nursing problem as well as a social problem. With regard to this problem, this study aims to investigate the adolescent's understanding of elders and aging. By identifying their understanding and classifying their attitude patterns, this study will help the nursing assessment of the support of elders in the family. This study employed Q-methodology and the research was conducted from December 1998 to May 1999. One method of the research included deep interviews with elders, those who are in their 50's. 40's or 30's. and the adolescent. 183 Q-Populations taken from literary works such as poems or novels were also formed as another method. Finally. 36 Q-cards were made after consultation with Professors of the nursing department. The subjects of the P- sample were 30 high sohoolboys/girls - who were in first, second, and third years. The result showed that 3 factors provided an explanation for 59.14% of the whole variables: the first factor, 41.37%; the second factor. 11.49%, and the third factor. 6.28%. These three factors were analyzed and categorized as three types. Twenty subjects out of the 30 were included in Type 1: Respecting Elders. The statements which showed the most positive consent were as follows: 'The declining age is a perfect time to prosper completing a worthy life' ; 'Getting old. one needs financial stability' and 'Elders wish the best for their children' The statements showing the most negative response were as follows: 'It is better to die than to live as an older person' ; 'Elders are insignificant' ; and 'Getting old is the worst unhappiness that tortures human.' Four subjects were included in Type 2. Resenting Elders. The statements which showed the most positive consent were as follows: 'Aging is a process of dying that nobody can escape from'. 'Elders should be concerned about his health and try to maintain their health' ; and 'When you set older. you regret about the life in the Past.' The statements showing the most negative response were as follows: 'When You get older. You should stand aloof greed and worldly things' 'When You got older, You become generous and gentle' ; and 'When You set he gets old. You change to become a comfortable and warm person.' Six out of 30 subject were included in Type 3 Caring Elders. The statements which showed the most positive consent were as follows: 'Elders should be concerned about his health and try to maintain their health' ; 'Elders wish the best for their children' ; and 'Elders deserve to be treated with filial respects.' The statements showing the most negative response were as follows 'Elders are insignificant' ; 'Elders have freedom and plenty of free time.' and 'Elders are alienated form and drove out of the society.' The above-mentioned results show that most adolescents in Korea recognize aging as the time of fruition and development: it is a time of benefiting and giving back to society. Aging can also be seen as a time of generosity and magnanimity and the time of respect and favorable treatment from society. despite the change of modern society and the ostensible transformation of a family system. Their recognition seems deeply rooted in the traditional confucian values and the dual family system which is Peculiar especially to the Korea - one which maintains both the superficial form of nuclear family and the substantial mode of the enlarged family system. In sum, many Korean adolescents attribute the meaning of the elderly and aging to the type of the respect with the elderly and the type of the elderly's caretaking.

• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.147-156
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• 2011

Basic emotions such as happiness, sadness, anger, fear, and disgust have been widely used to investigate emotion-specific autonomic nervous system activity in many studies. On the contrary, surprise emotion, Suggested also as one of the basic emotions suggested by Ekman et al. (1983), has been least investigated. The purpose of this study was to provide a description of cardiovascular responses on surprise stimulus using electrocardiograph (ECG) and photoplethysmograph (PPG). ECG and PPG were recorded from 76 undergraduate students, as they were exposed to a visuo-acoustic surprise stimulus. Heart rate (HR), standard deviation of R-R interval (SD-RR), root mean square of successive R-R interval difference (RMSSD-RR), respiratory sinus arrhythmia (RSA), finger blood volume pulse amplitude (FBVPA), and finger pulse transit time (FPTT) were calculated before and after the stimulus presentation. Results show significant increase in HR, SD-RR, and RMSSD-RR, decreased FBVPA, and shortened FPTT. Evidence suggests that surprise emotion can be characterized by vasoconstriction and accelerated heart rate, sympathetic activation, and increased heart rate variability, parasympathetic activation. These results can be useful in developing an emotion theory, or profiling surprise-specific physiological responses, as well as establishing the basis for emotion recognition system in human-computer interaction.

• Journal of Korean Ophthalmic Optics Society
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• v.19 no.4
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• pp.513-518
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• 2014

Purpose: This study was to investigate color distortion by colors and luminous transmittance of lenses with word-color test included in computerized neurocognitive function test (CNT). Methods: 32 subjects aged $21.97{\pm}1.58$ years with no ocular disease and color vision deficiency were selected. Four colors of tinted lenses, which were red, green and blue included in the primary colors of light and pink, and word-color test in CNT to evaluate changes in cognitive function by color distortion were used. Results: Response time was not significantly increased in green, blue, and pink among four colors, but significantly increased in only red color. And response time was significantly increased below 46% of luminous transmittance in red color. Conclusions: It should be cautious and careful of the red-tinted lens choice because red color with below 46% of luminous transmittance can distort colors of objects, and it could be related to safety problem. It is suggested that word-color test could be extensively used for further studies on color recognition.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.663-672
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• 2002

In this paper, Using an automatic tracking system, behavior of an aquatic insect, Chironomus sp. (Chironomidae), was observed in semi-natural conditions in response to sub-lethal treament of a carbamate insecticide, carbofuran. The fourth instar larvae were placed in an observation cage $(6cm\times{7cm}\times{2.5cm)}$ at temperature of $18^\circ{C}$ and the light condition of 10 time (light) : 14 time (dark). The tracking system was devised to detect the instant, partial movement of the insect body. Individual movement was traced after the treatment of carbofuran (0.1ppm) for four days 2days : before treatment, 2 days : after treatment). Along with the other irregular behaviors, "ventilation activity", appearing as a shape of "compressed zig-zag", was more frequently observed after the treatment of the insecticide. The activity of the test individuals was also generally depressed after the chemical treatment. In order to detect behavioral changes of the treated specimens, wavelet analysis was implemented to characterize different movement patterns. The extracted parameters based on Discrete Wavelet Transforms (DWT) were subsequently provided to artificial neural networks to be trained to represent different patterns of the movement tracks before and after treatments of the insecticide. This combined model of wavelets and artificial neural networks was able to point out the occurrence of characteristic movement patterns, and could be an alternative tool for automatically detecting presences of toxic chemicals for water quality monitoring. quality monitoring.

• Korean Journal of Poultry Science
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• v.45 no.3
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• pp.219-228
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• 2018

This study was conducted twice to investigate egg purchase behavior and perception on animal welfare of Korean consumers. This study included women, who were the main decision makers and caretakers in the household, and men with one-person household. This survey was conducted with by the Computer Assisted Web Interview and Gang Survey methods. On the key considerations factor, the highest response rate was considered to be 'price', and the response rate of considering 'packing date' increased in the second survey. At a reasonable price based on 10 eggs, the response rate was the highest at 53.8% and 42.9% in both the first and second surveys and the appropriate price averages were 2,482 won and 2,132 won, respectively. The highest rate of purchase of egg consumers from 'Large Mart' followed by 'Medium sized supermarket' and 'Chain supermarket'. As for the awareness about animal welfare, the recognition ratio (73.5%) was higher in the result of the second survey than the first. The cognitive period of animal welfare was 59.0% before the insecticide egg crisis and 41.0% thereafter. Regarding whether or not they have ever seen an animal welfare certification mark and an animal welfare animal farm certification mark, 59.6% of respondents said that they saw it for the first time and 37.6% answered that they knew the animal welfare certification mark. On the animal welfare system, the 'free-range' response rate was the highest at 85.8%. The 'free-range' fit response decreased by 34.2%p, while the 'barn' and 'European type' fit response increased by 13.2%p and 24.1%p, respectively. The number of 'I have never seen' and 'I have ever eaten' responses to the recognition and eating experience of animal welfare certified eggs decreased while the number of those who answered 'Have ever seen' and 'Have eaten' increased. The answer of purchasing animal welfare certified eggs at department stores, organic farming cooperatives, and internet shopping malls was higher than that of buying conventional eggs. Of the total respondents, 92.0% were willing to purchase an animal welfare egg before the price was offered, but after offering the prices of animal welfare eggs, the intention to purchase was 62.7%, which was about 30%p lower than before. The reason for purchasing an animal welfare certified egg was the highest score of 71.0% for 'I think it is likely to be high in food safety', and 38.1% for 'I think the price is high' for lack of intention to purchase. In the sensory evaluation of animal welfare eggs, egg color and skin texture of conventional eggs were significantly higher than those of certified welfare eggs (P<0.05), and boiled eggs showed that egg whites of animal welfare certified eggs were more (P<0.05). As a result, the results of this study will contribute to the activation of the animal welfare certification system for laying hens by providing basic data on consumer awareness to animal welfare certified farmers.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.57-67
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• 2024

This paper explores the potential of electromyography (EMG) as a means of gesture recognition for user input in gesture-based interaction. EMG utilizes small electrodes within muscles to detect and interpret user movements, presenting a viable input method. To classify user gestures based on EMG data, machine learning techniques are employed, necessitating the preprocessing of raw EMG data to extract relevant features. EMG characteristics can be expressed through formulas such as Integrated EMG (IEMG), Mean Absolute Value (MAV), Simple Square Integral (SSI), Variance (VAR), and Root Mean Square (RMS). Additionally, determining the suitable time for gesture classification is crucial, considering the perceptual, cognitive, and response times required for user input. To address this, segment sizes ranging from a minimum of 100ms to a maximum of 1,000ms are varied, and feature extraction is performed to identify the optimal segment size for gesture classification. Notably, data learning employs overlapped segmentation to reduce the interval between data points, thereby increasing the quantity of training data. Using this approach, the paper employs four machine learning models (KNN, SVC, RF, XGBoost) to train and evaluate the system, achieving accuracy rates exceeding 96% for all models in real-time gesture input scenarios with a maximum segment size of 200ms.