• Journal of the Korean Society of Costume
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• v.62 no.6
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• pp.112-126
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• 2012

The style of a dress allows important characterization of an era since they reflect contemporary politics, society, culture and arts. Within a same category, period costumes develop into styles that reflect specific consciousness. The research method and the scope of the study are as follows: the research adopts a historical study method and a comparative research from a microscopic point. The scope includes resistance costumes that proceed with sans-culotte that comprises of the resistance party during the 18th French Revolution (1783-1799), and also a Hippy style which was popularized during the 1960s and 1970s for its anti-war movement. We researched both similarities and differences of design factors reflecting resisting consciousness in costumes that affected costume characteristics related to their socio-cultural background. Sans-culotte and the Hippie style reflect a common denominator in anti-social resisting customs. First, they show common characteristics that combine fashion trends of resistant element and design features. Second, they have common features which are the characteristics of deviation. On the other hand, these two customs also present a discriminative denominator in anti-social resisting customs. In the case of sans-culotte, they tend to symbolize confrontation by dividing into two equal parts: the old and new mode. Sans-culotte confronts the conventional mode and promotes practical costume styles based on justice standpoints. First, hippies pursue an exposition of individual emotions that disclose internal meanings of love and desire. Second, they focus on subjective characteristics and chase after masteries and pleasures by expressing intensity. Third, it extends and develops folk costumes from many countries that reveal ethnic trends. Therefore, this research compares and contrasts different changes in the fashions of revolutionary periods, and aims to recognize the relationship between design and costume characteristics, thus contributing to the predictions of future changes in fashion.

• Anxiety and mood
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• v.16 no.2
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• pp.83-90
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• 2020

Objective : Heart rate variability (HRV) is known to reflect autonomic nervous system activity. Individuals with posttraumatic stress disorder (PTSD) are reported to have lower HRVs. We attempted to find HRV indices with head up tilt position that reflect the symptoms well in order to evaluate PTSD symptoms. Methods : Sixty-seven patients with PTSD and 72 patients without PTSD were assessed using the PTSD Checklist for DSM-5 (PCL-5), the Beck Depression Inventory, the Beck Anxiety Inventory and the Pittsburgh Sleep Quality Index. HRV was measured in the head-up tilt position. We collected data regarding heart rate (HR), standard deviation of the NN intervals (SDNN), the square root of the mean squared differences of successive NN intervals (RMSSD), log low-frequency (LNLF) and log high-frequency (LNHF). Results : The value of LNHF was different according to presence or absence of PTSD after head-up tilt position. In the findings of the association between PTSD symptoms and HRV indices as based on head-up tilt, LNHF had a significant correlation with the total score of PCL-5. Conclusion : The reduction of the high-frequency component of HRVs in the PTSD group might reflect more PTSD symptoms.

• The Journal of the Korea Contents Association
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• v.7 no.11
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• pp.23-33
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• 2007

The collaborative filtering has used the nearest neighborhood method based on the preference and the similarity using the Pearson correlation coefficient. Therefore, it does not reflect content of the items and has the problems of the sparsity and scalability as well. the item-based collaborative filtering has been practically used to improve these defects, but it still does not reflect attributes of the item. In this paper, we propose the user and item based collaborative filtering using the classification property and Naive Bayesian to supplement the defects in the existing recommendation system. The proposed method complexity refers to the item similarity based on explicit data and the user similarity based on implicit data for handing the sparse problem. It applies to the Naive Bayesian to the result of reference. Also, it can enhance the accuracy as computation of the item similarity reflects on the correlative rank among the classification property to reflect attributes.

• Journal of Korean Society of Archives and Records Management
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• v.16 no.3
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• pp.69-97
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• 2016

For a long time, popular songs have been our source of happiness. They go along with the flow of the generation, allowing them to acquire a significant meaning. Popular songs thus reflect the contemporary society. However, in the study of popular song archives, there has been an interest only in the information of the songs sung by a singer, the type of songs, and the type of singers. Thus, existing popular song archives were not able to reflect the characteristics of the society of the generation when the songs were popular. Therefore, this paper searched for ways by which to archive not only popular songs but also the characteristics of the society during the time when these songs were famous, and suggested a story collection through the methods. These stories reflect the lives of the people and the characteristics of the society during the periods when the songs were popular. Furthermore, these stories go beyond popular songs, making it possible for us to look dimensionally on the society we are affiliated in.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.22 no.1
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• pp.19-31
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• 2018

For the purpose of the basic educated-establishment on the diagnostic methods of "facial color and shape which reflect human's spiritual essence and personality", we study on the diagnostic value and application of the human face. The study's domain is divided the form and color of human face. And the form and color of human face is respectively observed the diagnostic value and contents. The form of human face reflect plenty the information of the mankind, and the observation of the face is applied to the "Physiognomie" refering to the external features of humans. Therefore the diagnosis on the form of human face is the primary factor in the grouping of five-element human, the discrimination of the Sasang constitution, and the classification of Hyunsang type. The color of human face reflect the physical information of internal organs and the pathological change of disease, therefore we examine the region, character and grade of disease by the inspection of complexion including the changes of color and luster of the facial skin. The inspection on the color is also the primary factor in the grouping of five-element human, the classification of Hyunsang and the differentiation of syndromes. The value of the inspection of complexion including the changes of color and form of the face is widely known. In the future, we think, we need to study more about the theory of the diagnostic value and application of the human face.

• The Research Journal of the Costume Culture
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• v.19 no.4
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• pp.820-835
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• 2011

The purpose of this study is to provide a basic pattern to assist in the development of formal pants that reflect the physical characteristics of women with lower-body obesity. The subjects selected for this study were women in their 20s and 30s with a Rohrer index of 1.6 or higher, a waist circumference 78.5cm to 83.5cm, and a lower drop of at least 18cm. The experimental pants patterns were developed by varying the waist line position, the waist ease, the ease in the hip area, the crotch length, the front and rear crotch width, the leg width, and the total length. Data analysis was performed using the SPSS statistics program(version 18.0). To verify the difference, this study used a variance analysis and Duncan's test. The conclusions drawn by the study are as follows. To reflect the form element of an abdomen with fatty deposits, the waist circumference should have an ease of 2cm. The front waist result was W/4+0.5cm+0.75cm and the rear waist result was W/4-0.5cm+0.25cm. The hip circumference showed a total ease of 4.5cm. The front hip result was H/4+0.75cm and the rear hip result was H/4+1.5cm. The crotch width set to H/16-1cm and the applied rear crotch width was H/16+2cm. The rear hip area was given more ease to reflect the protrusion of the hip. Along the line extending from the knee area to the crotch line, the outer seam line was designed with a gradual S-shaped curve to accommodate the protrusion from the maximum thigh width.

• The Korean Journal of Archival Studies
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• no.49
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• pp.121-173
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• 2016

An election is a major event in a country that elects the people's representatives. Currently, Korea's electoral system has a structure that limits the exclusion of the minority's opinion. Also, it has strengthened the monopoly of major political parties. Despite the harsh conditions, Green Party Korea has proposed an alternative to prevent even the minority from being excluded by practicing direct democracy and expanding proportional representation through the institutionalization of the democratic process within the party. Election campaigns should thus reflect this orientation of Green Party Korea. The local elections and the national elections reflect Korea's political and social status and show the course over two minority parties beyond such limits. Moreover, they provide evidence of the activities of Green Party Korea. The paper analyzes how the election archives of the party hold the values of democracy, how minor parties jump to another because of the unfavorable election system, and how the archives of Green Party Korea reflect its values on the political history of Korea.

• Journal of Engineering Education Research
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• v.26 no.4
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• pp.22-35
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• 2023

As information and communication technology has developed remarkably, it has become possible to analyze various types of large-volume data generated at a speed close to real time, and based on this, reliable value creation has become possible. Such big data analysis is becoming an important means of supporting decision-making based on scientific figures. The purpose of this study is to develop a big data analysis tool that can analyze large amounts of data generated through engineering education. The tasks of this study are as follows. First, a database is designed to store the information of entries in the National Creative Capstone Design Contest. Second, the pre-processing process is checked for analysis with big data analysis tools. Finally, analyze the data using the developed big data analysis tool. In this study, 1,784 works submitted to the National Creative Comprehensive Design Contest from 2014 to 2019 were analyzed. As a result of selecting the top 10 words through topic analysis, 'robot' ranked first from 2014 to 2019, and energy, drones, ultrasound, solar energy, and IoT appeared with high frequency. This result seems to reflect the current core topics and technology trends of the 4th Industrial Revolution. In addition, it seems that due to the nature of the Capstone Design Contest, students majoring in electrical/electronic, computer/information and communication engineering, mechanical engineering, and chemical/new materials engineering who can submit complete products for problem solving were selected. The significance of this study is that the results of this study can be used in the field of engineering education as basic data for the development of educational contents and teaching methods that reflect industry and technology trends. Furthermore, it is expected that the results of big data analysis related to engineering education can be used as a means of preparing preemptive countermeasures in establishing education policies that reflect social changes.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.52-64
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• 2023

This paper concentrated on estimating the travel time value of individual regional bus passengers in various in-vehicle crowding conditions. In the analysis model, the traffic-selection data of individual transportation passengers based on smart-card data were used. Variables which reflect the level of in-vehicle crowding and the variables of in-vehicle travel time that reflect the level of in-vehicle crowding were included in the model using Box-Cox transformation. The result of this paper indicates that the travel time value experienced by individual users would increase as the in-vehicle crowding level increases. The smart card data used in this paper is considered to have significant implications in terms of conducting more sophisticated and realistic qualitative research to reflect the values of variables for in-vehicle traffic hours and in-vehicle crowding levels, which previously had limitations in observation and quantification. It is expected that the effects of improvement measures for reducing congestion on regional buses can be considered quantitatively by applying the estimation results of crowding multiplier.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.57-66
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• 2023

In this study, we propose a novel research framework for the recommendation system that can estimate the user's emotional state and reflect it in the recommendation process by applying deep learning techniques and emotion AI (artificial intelligence). To this end, we build an emotion classification model that classifies each of the seven emotions of angry, disgust, fear, happy, sad, surprise, and neutral, respectively, and propose a model that can reflect this result in the recommendation process. However, in the general emotion classification data, the difference in distribution ratio between each label is large, so it may be difficult to expect generalized classification results. In this study, since the number of emotion data such as disgust in emotion image data is often insufficient, correction is made through augmentation. Lastly, we propose a method to reflect the emotion prediction model based on data through image augmentation in the recommendation systems.