• Phonetics and Speech Sciences
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• v.10 no.4
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• pp.155-161
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• 2018

The purpose of this study was to evaluate the efficacy of a multiple voice therapy technique ($SKMVTT^{(R)}$) using laughter for the treatment of various benign vocal fold lesions. To achieve this, 23 female patients diagnosed with vocal nodules, vocal polyp, and muscle tension dysphonia through videostroboscopy were enrolled in vocal hygiene and $SKMVTT^{(R)}$. All of the patients were treated once a week for 4 to 12 sessions. The GRBAS scale was used to confirm the changes in voice quality before and after the treatment. Acoustic analysis was performed to evaluate jitter, shimmer, NHR, fundamental frequency variation, amplitude variation, PFR, and dB range. Videostroboscopy was performed to confirm the changes in the laryngeal features before and after the treatment. After the $SKMVTT^{(R)}$, the results of the perceptual evaluation demonstrated that the G, R, and B scales significantly improved. An acoustic evaluation also demonstrated that jitter, shimmer, NHR, vAm, vFo, PFR, and dB range also significantly improved after the $SKMVTT^{(R)}$. In comparison to the videostroboscopic findings, the size of the vocal nodules and vocal polyp decreased or disappeared after the treatment. In addition, the size of the cuneiform tubercles decreased, the length of the aryepiglottic folds became longer, and the laryngeal findings of the supraglottic compressions improved after the $SKMVTT^{(R)}$. These results suggest that the $SKMVTT^{(R)}$ is effective in improving the vocal quality of patients with benign vocal fold lesions. In conclusion, it seems that laughter and inspiratory phonation suppressed abnormal laryngeal elevation and lowered laryngeal height, which seems to have the effect of improving hyperfunctional phonation.

• Journal of Fashion Business
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• v.23 no.1
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• pp.74-88
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• 2019

The purpose of this study is to explore university students' Hanbok rental behavior and to examine factors that influence their intention to rent Hanbok. Questionnaires were distributed in Universities in the Seoul metropolitan area, and the final 202 responses were used for data analysis. For data analysis, descriptive statistics, factor analysis, cluster analysis, t-tests, and multiple regressions analysis were used. Sixty-one percent of those who have experienced Hanbok rental said they rented Hanboks to experience tourism and 22 percent said they rented Hanboks to take pictures, and the main rental places are tourist attractions such as Jeonju Hanok Village. Respondents indicated that the design and color of Hanbok were important product attributes when they consider renting a Hanbok. They also indicated that the opinions of other users posted on the Internet/Social Network were their main source of information for Hanbok rental. The result of cluster analysis showed that there were two groups of Hanbok rental consumers based on clothing consumption values: novelty-seeking group and practicality-seeking group. The two groups were different in terms of few factors of the benefit sought of Hanbok rental, product attributes, and information sources. Regression analysis revealed that traditional culture perception, purpose-built Hanbok pursuit benefit, pragmatic pursuit benefit, attitude toward Hanbok, and the previous Hanbok rental experience significantly affected respondents' intention to rent Hanbok. Based on the results, this study summarizes the key features of each group and provides suggestion for developing strategic marketing activities.

• Korean Journal of Remote Sensing
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• v.34 no.6_2
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• pp.1239-1249
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• 2018

Optical remote sensing sensors provide visually more familiar images than radar images. However, it is difficult to discriminate sea ice types in optical images using spectral information based machine learning algorithms. This study addresses two topics. First, we propose a semantic segmentation which is a part of the state-of-the-art deep learning algorithms to identify ice types by learning hierarchical and spatial features of sea ice. Second, we propose a new approach by combining of semi-supervised and active learning to obtain accurate and meaningful labels from unlabeled or unseen images to improve the performance of supervised classification for multiple images. Therefore, we successfully added new labels from unlabeled data to automatically update the semantic segmentation model. This should be noted that an operational system to generate ice type products from optical remote sensing data may be possible in the near future.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.1
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• pp.1-8
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• 2019

Reverse engineering involves examining a system or component so as to comprehend its structure, functionality, and operation. Creation of a system model in reverse engineering can serve several purposes: test generation, change impact analysis, and the creation of a new or modified system. When attempting to reverse engineering a system, often the most readily accessible information is the system description, which does not readily lend itself to use in Model Based System Engineering (MBSE). Therefore, it is necessary to be able to transform this description into a diagram, which clearly depicts the behavior of the system as well as the interaction between components. This study demonstrates how sequence diagrams can be extracted from the systems description. Using MBSE software, the sequence diagrams for the Engineered Safety Features Component Control System (ESF-CCS) of the Nuclear Power Plant are created. Sequence diagrams are chosen because they are a means of representing the systems behavior and the interaction between components. In addition, from these diagrams, the system's functional requirements can be elicited. These diagrams then serve as the baseline of the reverse engineering process and multiple system views are subsequently be created from them, thus speeding up the development process. In addition, the use of MBSE ensures that any additional information obtained from auxiliary sources can then be input into the system model, ensuring data consistency.

• Journal of Oral Medicine and Pain
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• v.44 no.3
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• pp.92-102
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• 2019

Purpose: To investigate the masticatory function of patients with different temporomandibular disorders (TMD) phenotypes, and to explore the risk factors for the masticatory function of TMD patients among multiple biopsychosocial variables using patient-reported outcomes (PROs). Methods: Clinical features and TMD diagnoses of 250 cases were investigated by reviewing medical records. Psychosocial factors were evaluated using four questionnaires representing pain severity and pain interference (Brief Pain Inventory), pain catastrophizing (Pain Catastrophizing Scale, PCS), psychological distress (Symptom Check List-90-Revised, SCL-90R) and kinesiophobia (Tampa Scale for Kinesiophobia for Temporomandibular Disorders, TSK-TMD). Masticatory function, as a dependent variable, was determined using the Jaw Functional Limitation Scale (JFLS). Kruskal-Wallis test and Spearman's rank correlation were used for analyses. Results: A total of 145 cases were included and classified into four subgroups including group 1: TMD with internal derangement without pain (n=14), group 2: TMD with muscle pain (n=32), group 3: TMD with joint pain (n=60) and group 4: TMD with muscle-joint combined pain (n=39). Pain severity (p=0.001) and interference (p=0.022) were the highest in group 2, but the mean global score of JFLS was the highest in group 3, followed by group 4, group 2, and group 1 (p=0.013). Pain severity, pain interference, the mean global score of PCS and the mean global score of TSK-TMD showed significant and moderate correlation with the mean global score of JFLS. All subdimensions and the global severity index of SCL-90R had significant, but weak correlations with all scores of JFLS. Conclusions: The results suggest that masticatory functional limitation depends on the TMD phenotypes. Among the various PROs, pain perception, pain catastrophizing and kinesiophobia seem to be more influential risk factors on jaw function than psychological distress, such as depression and anxiety.

• Fashion & Textile Research Journal
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• v.21 no.1
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• pp.13-26
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• 2019

In this study, Western-style first birthday clothing for girls from online shopping malls was explored. Specifically, clothing types, forms, colors, textiles, prints/patterns, and trimmings were examined. Using the keyword dol bok (meaning "first birthday clothing") and the search engines Naver and Daum, online shopping malls that sell or rent Western-style first birthday clothing for girls were found. From 15 online shopping malls, 317 dresses, 76 outers, and 69 bonnets were analyzed. The one-piece dress was the main item of Western-style first birthday clothing for girls. Most first birthday dresses were white or ivory in terms of color; other common features were the bell silhouette, a high waistline, a midi- or knee-length skirt with multiple layers, and bow trimming. The upper bodices of dresses featured round necklines without collars and sleeves, and the main textiles used for dresses were satin, lace, organza, and tulle. Two main types of outers were jackets and capes. Most outers were white or ivory and waist-length or shorter, with elbow-length or longer sleeves. Outers were typically made of fur, satin, and lace. Most bonnets were also white or ivory in color, made of satin and lace, and decorated with ribbon ties and frills/ruffles. Because a precedent study indicates that a monochromatic color scheme was the least favorite and that consumers want a proper fit and length-adjustable design, conclusions of this study point to the need for color diversification; color combinations for two-piece dresses, outers, and accessories; and lacing or shoulder snaps instead of zippers.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.24 no.2
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• pp.154-163
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• 2021

Purpose: In children overlap of autoimmune hepatitis (AIH) and primary sclerosing cholangitis is labelled as autoimmune sclerosing cholangitis (ASC). The only prospective pediatric study showed a high prevalence of ASC by using endoscopic retrograde cholangiopancreatography. Aims of our study were to find the prevalence of ASC by using magnetic resonance cholangiography (MRC) in AIH and in non-AIH cirrhosis and to compare clinical presentation and outcome of AIH and ASC. Methods: Prospectively we did MRC in 38 children with AIH (cases) and 19 disease controls (Wilson disease). Multiple biliary strictures with proximal dilatation on MRC were taken as definitive changes of ASC. Detail clinical, laboratory parameters, liver histopathology and treatment outcome were recorded. Results: The median age of cases was 11.5 (3-18) years, 22 (57.9%) were girls and 28 (73.7%) were diagnosed as type 1 AIH. MRC was done in 11 children (28.9%) at the time of diagnosis and in 27 (71.1%) after a median follow-up of 2.5 (0.3-10) years. Abnormal MRC changes were seen in 14/38 (36.8%) of AIH and 8/19 (42.1%) of controls. However, definite changes of ASC were present in four (10.5%) children in AIH and none in controls. None of the clinical, laboratory, histological parameters and treatment response were significantly different between ASC and AIH groups. Conclusion: The prevalence of ASC in children with AIH was just 10.5%. We suggest MRC in select group with cholestatic features, inflammatory bowel disease and in those who showed poor response to immunosuppression instead of all children with AIH.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.11
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• pp.4290-4309
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• 2020

In recent years, advancements in machine learning capabilities have allowed it to see widespread adoption for tasks such as object detection, image classification, and anomaly detection. However, despite their promise, a limitation lies in the fact that a network's performance quality is based on the data which it receives. A well-trained network will still have poor performance if the subsequent data supplied to it contains artifacts, out of focus regions, or other visual distortions. Under normal circumstances, images of the same scene captured from differing points of focus, angles, or modalities must be separately analysed by the network, despite possibly containing overlapping information such as in the case of images of the same scene captured from different angles, or irrelevant information such as images captured from infrared sensors which can capture thermal information well but not topographical details. This factor can potentially add significantly to the computational time and resources required to utilize the network without providing any additional benefit. In this study, we plan to explore using image fusion techniques to assemble multiple images of the same scene into a single image that retains the most salient key features of the individual source images while discarding overlapping or irrelevant data that does not provide any benefit to the network. Utilizing this image fusion step before inputting a dataset into the network, the number of images would be significantly reduced with the potential to improve the classification performance accuracy by enhancing images while discarding irrelevant and overlapping regions.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.4
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• pp.101-114
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• 2011

As it seems like critical information leakages have been increasing due to industrial espionage and malicious internal users, the importance of introducing audit and log security technology is growing every now and then. In this paper, we suggest the session logging system for the company's internal control to meet the SOX legislation level, by monitoring and analyzing users behaviors connecting to the business-critical Operating System. The system proposed in this paper aims to monitor the user's illegal activities in the Operating System, and to present the clear evidence of purpose of those activities by detailed logs. For this purpose, we modified Operating System by adding multiple services suggested in this paper. These services utilize interfaces provided by the existing Operating System and add functions to control access and get logs. The system saves and manages session logs of users or administrators connected to the server with centralized log storage. And the system supports session log searching and lookup features required by SOX legislation for the company's internal controls with the level of computer forensics and logging technology.

• Knowledge Management Research
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• v.22 no.1
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• pp.269-286
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• 2021

As the un-tact and on-tact consumption culture has proliferated due to the impact of COVID-19, 'live commerce', a form of shopping while communicating with customers through real-time streaming broadcasting, is emerging in the commerce and distribution industry. Live commerce provides an environment where customers can get the convenience of online shopping and enjoy un-tact shopping more realistically while communicating with the broadcaster in real time, as if purchasing directly from an offline store. Therefore, purchases using live commerce are expected to increase further. In this study, based on the characteristics of live commerce, the main factors influencing the increase in purchase intention through live commerce were derived and their influences were verified. In particular, this study examined these factors in multiple dimensions with focusing on strong interactivity, realistic presence, and providing detailed reviews with high credibility for products as the features of live commerce. This research collected sample data from actual users of live commerce and empirically analyzed the significance of the factors influencing the purchase increase of live commerce, thereby providing implications for knowledge management in a newly changed commerce environment in the un-tact era.