• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.1-9
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• 2010

In the new generation of Web, commonly called "Web 2.0", blogging has facilitated the publishing information or his/her opinion on the web. Various blog retrieval algorithms have been proposed to search for blogs more effectively. However, actually keyword-based searching or link-analysis blog ranking system cannot satisfy the user's requirement. In this paper, we suggest a topic-based weighting blog retrieval system in which the links between blog writings and searching words are considered to improve the search results. Our system extracts topics from each blog and weights them much higher than other guide words. In the comparison with other systems, we see that the proposed topic-base system has better recall rate of search results.

• The Research Journal of the Costume Culture
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• v.10 no.5
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• pp.518-531
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• 2002

The purpose of this study was to research specific dimensional increments of grading and to support to establish a grading system according to the targets of women's wear manufacturers in Korea. For the questionnaire, 91 women's wear brands, which were in higher ranking of sales, were selected, and the age groups were separated into 3: 20's, 30's, and 40's & 50's, according to their customers. The graders of each brand were questioned about specific dimensional increments of grading fur this research. The results of the study were as follows: 1. Using the most common dimensional increments, 3.81cm(1 f inch) and 5.08cm(2 inch) for upper garments and lower garments, the modes of increments and reference increments for each garment section were suggested. 2. For upper garments, the brands for older women made larger increments of waist girth than for bust girth. This was to cover abdominal obesity. Also, the brands made larger increments of girth than for shoulder breadth. 3. For lower garments, the brands for older women made larger increments of waist girth than fur hip girth. It meant the drop value of hip girth minus waist girth was smaller. The breadths of front and back crotch were also wider.

• The Research Journal of the Costume Culture
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• v.10 no.4
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• pp.377-391
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• 2002

The purpose of this study was to research grading work according to the targets of women's wear manufacturers in Korea. For the questionnaire, 91 women's wear brands, which were in higher ranking of sales, were selected, and the age groups were separated into 3: 20's, 30's, and 40's & 50's, according to their customers. The graders of each brand were questioned about 20 items for this research. The results of the questionnaire were as follows: 1 The brands for older women manufactured more sizes and cared more about somatotypes fur grading than other brands did. 2. For upper garments on the basis of bust girth, the numbers of dimensional increments were different depending on the age groups: 9 for 20's, 7 for 30's, and 7 for 40's & 50's. 3. For lower garments on the basis of hip girth, the numbers of dimensional increments were different depending on the age groups: 9 for 20's, 6 for 30's, and 5 for 40's & 50's. 4. As a model size of grading, many brands used the smallest size, but the brands for 40's & 50's also used the second size. 5. The parts needed to be corrected after grading were sleeve ease, armhole, shoulder line, neckline, crotch curve, etc. The grading with CAD system had more correction after grading than hand grading.

• The Research Journal of the Costume Culture
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• v.21 no.2
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• pp.287-300
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• 2013

The aim of this study was to find typology of fashion-related mobile applications through exploratory investigation and to investigate differences in Korea and U.S. App stores. And then, through the qualitative evaluation about fashion mobile applications, this study proposes fashion mobile application's design and contents which can be preferred by users. By conducting keyword search in each store, 122 Korean applications and 150 US applications were analyzed. Empirical findings revealed that there were seven major types of fashion mobile applications: brand, magazine, information, SNS, game, shopping and coordination. Information type applications took up the largest portion, and SNS and game type applications showed higher ranking among customers. There were more game Apps in US and more shopping Apps in Korean stores. More free Apps were found in Korean App stores, whereas relatively more paid Apps were found in US App stores especially in game, magazine and information type applications. And as a result of usability evaluation of fashion mobile application, users prefer SNS and information category application to shopping and brand category. Also users want continuous improvement and new contents for fashion mobile application.

• The Journal of Information Systems
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• v.29 no.2
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• pp.71-94
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• 2020

Purpose With the development of Social Network Service(SNS) and mobile devices, many companies have been using the Facebook as a Word-of-Mouth(WOM) channel. This study examines the effects of psychological distance and message type on WOM using the Facebook's real messages. And the moderating effect of the message type on the relationship between psychological distance and WOM was also analyzed. Design/methodology/approach A content analysis was used as a research method. A total 7,483 messages were collected from 50 companies' Facebook Fanpage (based on the ranking of socialbakers.com) and content analysis was conducted using human coding. As the influencing variables, the message type and psychological distance and the number of 'Likes', 'Share', and 'Comment' were used as the dependent variable. The R3.4.4 was used to perform descriptive statistics, cross-tab analysis, and analysis of variance(ANOVA). Findings First, a larger proportion of Facebook messages have close psychological distance for all message types(information, advertisement, event, and customer relationship). Second, 'Like' and 'Comment' number were significantly higher in messages of close psychological distance. Third, the effects of psychological distance on 'Like', 'Share', and 'Comment' number were different according to message type. However, 'advertisement' message type had significantly more numbers for all WOMs('Like', 'Share', and 'Comment') in messages with close psychological distance.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.3
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• pp.191-203
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• 2007

The purpose of this study was to present a making method of jeans pattern with high fitness after deriving the appropriate shrinkage rate by material and washing process. According to the result of the exterior evaluation of test jeans, all 6 jeans were rated high with scores close to 3.5. Following the evaluation of satisfaction of usage by physical movement, the highest ranking was in the order of walking with normal steps, back bending $90^{\circ}$, chair sitting, climbing stairs and squatting. The shrinkage rate by physical area showed the highest score in the order of pants length, waist circumference, thigh circumference, knee circumference, hem circumference, hips circumference. In addition, the shrinkage rate was higher in warp direction than weft direction after washing finishing. As for the result of addition and reduction of pattern measurements by parts of jeans, waist circumference was $3.1{\sim}5.1cm$, hips circumference was $-1.2{\sim}4.2cm$, thigh circumference was $-0.9{\sim}3.1cm$ and pants length was $3.4{\sim}6.1cm$. That is, this results showed a wide range of addition and reduction according to material and washing finishing.

• Journal of Korean Neurosurgical Society
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• v.64 no.3
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• pp.321-325
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• 2021

Every researcher wants their research to gain more recognition, and this desire is achieved by publishing their article in a journal with higher impact. It is very important to get researchers interested in the Journal of Korean Neurosurgical Society (JKNS). Therefore, the first goal was to promote the publication of papers in our journal. To do this, a table of contents was sent out, and the citation ranking was announced every 2 months. Several efforts have been made to publish good papers. Foreign speakers, who were invited to a conference hosted by the Korean Neurosurgical Society were contacted and politely requested to write a paper addressing their recent research. Domestic and international researchers highly renowned in their fields were also contacted to submit their novel works to our journal. The journal impact factor of our journal has continued to rise for the last 3 years and reached 1.376 in 2019. It can be said that the JKNS is now competitive with other international neurosurgery journals. These achievements were not due to the efforts of the editorial boards alone. This was because our society members have submitted very good papers, and because many of our members have cited the papers published in our journal. We believe that this will continue in the future. The next step of evolution of the JKNS has begun, and this is the beginning of another great development.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.4
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• pp.41-49
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• 2020

The purpose of this study was to investigate the use of the Deep Neural Networks(DNN) model to classify user's emotions, in particular Electroencephalography(EEG) toward Virtual-Reality(VR) based 3D design alternatives. Four different types of VR Space were constructed to measure a user's emotion and EEG was measured for each stimulus. In addition to the quantitative evaluation based on EEG data, a questionnaire was conducted to qualitatively check whether there is a difference between VR stimuli. As a result, there is a significant difference between plan types according to the normalized ranking method. Therefore, the value of the subjective questionnaire was used as labeling data and collected EEG data was used for a feature value in the DNN model. Google TensorFlow was used to build and train the model. The accuracy of the developed model was 98.9%, which is higher than in previous studies. This indicates that there is a possibility of VR and Fast Fourier Transform(FFT) processing would affect the accuracy of the model, which means that it is possible to classify a user's emotions toward VR based 3D design alternatives by measuring the EEG with this model.

• Journal of Korea Multimedia Society
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• v.24 no.3
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• pp.448-459
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• 2021

In this paper, we propose a method of predicting the next-day stock price fluctuations of 10 KOSDAQ-listed companies in 5G, autonomous driving, and electricity sectors by training SVM, XGBoost, and LightGBM models from macroeconomic·financial market indicators, technical indicators, social interest indicators, and daily positive indices extracted from online news. In the three experiments to find out the usefulness of social interest indicators and daily positive indices, the average accuracy improved when each indicator and index was added to the models. In addition, when feature selection was performed to analyze the superiority of the extracted features, the average importance ranking of the social interest indicator and daily positive index was 5.45 and 1.08, respectively, it showed higher importance than the macroeconomic financial market indicators and technical indicators. With the results of these experiments, we confirmed the effectiveness of the social interest indicators as alternative data and the daily positive index for predicting stock price fluctuation.

• Journal of the Semiconductor & Display Technology
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• v.21 no.2
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• pp.90-94
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• 2022

In order to minimize the picking time when the products are released from the warehouse, they should be located close to the exit when the products are released. Currently, the warehouse determines the loading location based on the order of the requirement of products, that is, the frequency of arrival and departure. Items with lower requirement ranks are loaded away from the exit, and items with higher requirement ranks are loaded closer from the exit. This is a case in which the delivery time is faster than the products located near the exit, even if the products are loaded far from the exit due to the low requirement ranking. In this case, there is a problem in that the transit time increases when the product is released. In order to solve the problem, we use the idle time of the stocker in the warehouse to rearrange the products according to the order of delivery time. Temporal difference learning method using Q_learning control, which is one of reinforcement learning types, was used when relocating items. The results of rearranging the products using the reinforcement learning method were compared and analyzed with the results of the existing method.