• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.23 no.1
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• pp.49-62
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• 2020

Purpose: We aimed to investigate the disease phenotype of Korean pediatric Crohn's disease (CD) patients at diagnosis according to the Paris classification by comparison with patients from the European multicenter 5-years recruitment of children with newly developed IBD (EUROKIDS registry). Methods: Korean children and adolescents who had been newly diagnosed with CD at the age of <18 years during 2013-2016 were included in this multicenter retrospective study. Disease phenotype at diagnosis was classified according to the Paris classification, and compared with the published data from the EUROKIDS study. Results: A total of 255 patients were included. The median diagnosis age was 14.7 years (range, 0.8-17.9 years). No significant difference was observed in male-to-female ratio with EUROKIDS (1.9:1 vs. 1.45:1, p=0.062). The proportion of children aged <10 years was significantly lower in Koreans (7.1% vs. 19.6%, p<0.001). Colonic disease was less prominent (10.0% vs. 27.3%, p<0.001), while upper GI involvement was more prominent in Korean children (59.3% vs. 46.2%, p<0.001). The proportion with perianal fistulizing disease at diagnosis was significantly higher in Korean patients (44.8% vs. 8.2%, p<0.001). A separate analysis of Korean patients revealed that perianal fistulizing disease at diagnosis was positively associated with male sex and body mass index z-score (odds ratio [OR]=2.12, 95% confidence interval [CI]=1.20-3.76, p=0.010; and OR=1.29, 95% CI=1.05-1.58, p=0.015, respectively). Conclusion: Approximately half of pediatric CD patients in Korea present with perianal fistulas and/or abscesses at diagnosis, which is a distinct feature of CD in Korean children and adolescents compared to their European counterparts. An underlying genetic difference between ethnicities may play a role in this expression of different phenotypes in pediatric CD.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.30 no.1
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• pp.93-102
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• 2004

Recently, the golden age of herbal cosmetics has come. Along with active introduction of oriental herbal lines, diversification of distribution channels is designated as a major feature. In this background, the present study attempts to consider the domestic market for oriental herbal cosmetics, which is growing rapidly with the introduction of various new brands, and examine the perceptions of this new type of cosmetics by women consumers based on their purchase behaviors, and search for the ways for its promotion and development. A survey was conducted to adult women consumers aged 19∼60 residing in Seoul or Gyeonggi-do. Out of a total of 430 surveys distributed, 350 answer sheets were used for the analysis Among the results, the first-hand information on the herbal cosmetics market, their usage, and the consumer needs obtained in the present study will serve as a fundamental data for planning the marketing strategies for the oriental herbal cosmetics.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.1-12
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• 2005

Image registration is a process to establish the spatial correspondence between images of the same scene, which are acquired at different view points, at different times, or by different sensors. This paper presents a new algorithm for robust registration of the images acquired by multiple sensors having different modalities; the EO (electro-optic) and IR(infrared) ones in the paper. The two feature-based and intensity-based approaches are usually possible for image registration. In the former selection of accurate common features is crucial for high performance, but features in the EO image are often not the same as those in the R image. Hence, this approach is inadequate to register the E0/IR images. In the latter normalized mutual Information (nHr) has been widely used as a similarity measure due to its high accuracy and robustness, and NMI-based image registration methods assume that statistical correlation between two images should be global. Unfortunately, since we find out that EO and IR images don't often satisfy this assumption, registration accuracy is not high enough to apply to some applications. In this paper, we propose a two-stage NMI-based registration method based on the analysis of statistical correlation between E0/1R images. In the first stage, for robust registration, we propose two preprocessing schemes: extraction of statistically correlated regions (ESCR) and enhancement of statistical correlation by filtering (ESCF). For each image, ESCR automatically extracts the regions that are highly correlated to the corresponding regions in the other image. And ESCF adaptively filters out each image to enhance statistical correlation between them. In the second stage, two output images are registered by using NMI-based algorithm. The proposed method provides prospective results for various E0/1R sensor image pairs in terms of accuracy, robustness, and speed.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.1-20
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• 2013

Nowadays, social network is a huge communication platform for providing people to connect with one another and to bring users together to share common interests, experiences, and their daily activities. Users spend hours per day in maintaining personal information and interacting with other people via posting, commenting, messaging, games, social events, and applications. Due to the growth of user's distributed information in social network, there is a great potential to utilize the social data to enhance the quality of recommender system. There are some researches focusing on social network analysis that investigate how social network can be used in recommendation domain. Among these researches, we are interested in taking advantages of the interaction between a user and others in social network that can be determined and known as social relationship. Furthermore, mostly user's decisions before purchasing some products depend on suggestion of people who have either the same preferences or closer relationship. For this reason, we believe that user's relationship in social network can provide an effective way to increase the quality in prediction user's interests of recommender system. Therefore, social relationship between users encountered from social network is a common factor to improve the way of predicting user's preferences in the conventional approach. Recommender system is dramatically increasing in popularity and currently being used by many e-commerce sites such as Amazon.com, Last.fm, eBay.com, etc. Collaborative filtering (CF) method is one of the essential and powerful techniques in recommender system for suggesting the appropriate items to user by learning user's preferences. CF method focuses on user data and generates automatic prediction about user's interests by gathering information from users who share similar background and preferences. Specifically, the intension of CF method is to find users who have similar preferences and to suggest target user items that were mostly preferred by those nearest neighbor users. There are two basic units that need to be considered by CF method, the user and the item. Each user needs to provide his rating value on items i.e. movies, products, books, etc to indicate their interests on those items. In addition, CF uses the user-rating matrix to find a group of users who have similar rating with target user. Then, it predicts unknown rating value for items that target user has not rated. Currently, CF has been successfully implemented in both information filtering and e-commerce applications. However, it remains some important challenges such as cold start, data sparsity, and scalability reflected on quality and accuracy of prediction. In order to overcome these challenges, many researchers have proposed various kinds of CF method such as hybrid CF, trust-based CF, social network-based CF, etc. In the purpose of improving the recommendation performance and prediction accuracy of standard CF, in this paper we propose a method which integrates traditional CF technique with social relationship between users discovered from user's behavior in social network i.e. Facebook. We identify user's relationship from behavior of user such as posts and comments interacted with friends in Facebook. We believe that social relationship implicitly inferred from user's behavior can be likely applied to compensate the limitation of conventional approach. Therefore, we extract posts and comments of each user by using Facebook Graph API and calculate feature score among each term to obtain feature vector for computing similarity of user. Then, we combine the result with similarity value computed using traditional CF technique. Finally, our system provides a list of recommended items according to neighbor users who have the biggest total similarity value to the target user. In order to verify and evaluate our proposed method we have performed an experiment on data collected from our Movies Rating System. Prediction accuracy evaluation is conducted to demonstrate how much our algorithm gives the correctness of recommendation to user in terms of MAE. Then, the evaluation of performance is made to show the effectiveness of our method in terms of precision, recall, and F1-measure. Evaluation on coverage is also included in our experiment to see the ability of generating recommendation. The experimental results show that our proposed method outperform and more accurate in suggesting items to users with better performance. The effectiveness of user's behavior in social network particularly shows the significant improvement by up to 6% on recommendation accuracy. Moreover, experiment of recommendation performance shows that incorporating social relationship observed from user's behavior into CF is beneficial and useful to generate recommendation with 7% improvement of performance compared with benchmark methods. Finally, we confirm that interaction between users in social network is able to enhance the accuracy and give better recommendation in conventional approach.

• Korean Journal of Soil Science and Fertilizer
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• v.20 no.3
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• pp.199-204
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• 1987

This study was conducted to verify the identity and the effects on soil improvements by the application of Barley stone which has been recently named as miraculous mineral on account of being propagandized as health stone because of several special effect of medicine, the supplement of micronutrients for agriculture, prevention against diseases and insects of plant, and the increase of nutrient holding capacity of soil. The results were summarized as follows; 1. Barley stone is considered as Diabase Porphyrite by the analysis of X-ray Diffraction, chemical composition and microspore's observation. This mineral stone called as Barley stone has been deducted because of being seen as if the feature was attatched with cooked barley and appearently scattered about feldspar's phenocryst on the dark-green stone base. 2. In chemical characteristics of barley stone, the pH 8.7 was higher but C.E.C. 9.0 me/100g was lower then those of other clay minerals such as Bentonite and Zeolite, and so barley stone material was not considered suitable for improvement of sandy loam soil. 3. Effects of Bentonite and Zeolite application on yield of paddy rice were 108-109% compare to non-treated plot, but Barley stone has not increased rice yield. Notwithstanding the increase of application of barely stone to 5 ton per 10a, the yield increase was not significantly showing only 102-103% and the effects of Peanut, hot pepper and chinese cabbage were not recognized either.

• Progress in Medical Physics
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• v.23 no.4
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• pp.219-228
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• 2012

The tangential breast intensity modulated radiotherapy (T-B IMRT) technique, which uses the same tangential fields as conventional 3-dimensional conformal radiotherapy (3D-CRT) plans with physical wedges, was analyzed in terms of the calculated dose distribution feature and dosimetric accuracy of beam delivery during treatment. T-B IMRT plans were prepared for 15 patients with breast cancer who were already treated with conventional 3D-CRT. The homogeneity of the dose distribution to the target volume was improved, and the dose delivered to the normal tissues and critical organs was reduced compared with that in 3D-CRT plans. Quality assurance (QA) plans with the appropriate phantoms were used to analyze the dosimetric accuracy of T-B IMRT. An ionization chamber placed at the hole of an acrylic cylindrical phantom was used for the point dose measurement, and the mean error from the calculated dose was $0.7{\pm}1.4%$. The accuracy of the dose distribution was verified with a 2D diode detector array, and the mean pass rate calculated from the gamma evaluation was $97.3{\pm}2.9%$. We confirmed the advantages of a T-B IMRT in the dose distribution and verified the dosimetric accuracy from the QA performance which should still be regarded as an important process even in the simple technique as T-B IMRT in order to maintain a good quality.

• Korean Journal of Heritage: History & Science
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• v.51 no.4
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• pp.84-107
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• 2018

Cheommojik is a pile cloth, a type of textile whose surface is covered with short piles. The term chaedam was used during the late Joseon dynasty to refer to pile cloth rugs, while the terms yoongjeon, dantong and yangtanja were used in the early twentieth century. Various documents, newspaper articles and photographs confirm that pile cloth rugs were used by the general public as well as the royal family from the late Joseon dynasty onward, and that there were domestic manufacturers of such rugs at that time. This study investigated six pile cloth rugs that were produced after the late Joseon dynasty, five of which feature Persian knots made of cut pile, the other being made with the loop pile method. The cut pile rugs are rectangular in shape and measure between 72-98cm by 150-156cm; and they are decorated in the middle with patterns of butterfly, deer, and tiger or the ten longevity symbols, and along the edges with patterns composed of 卍 symbols. The ground warp of all six rugs are made from cotton yarn, while the ground weft is made of cotton yarn on three pieces, wool on one piece and cotton and viscose rayon. The ground weft yarn from four pieces are Z-twist yarn made with two or more S-twist cotton yarn. Four to six colors were used for the pile weft, all being natural colors except for red. Two or more S- or Z-twist yarn were twisted together in the opposite twist for the pile weft, with the thickness determining the number of threads used. Six or more weft threads were used to make the start and end points of the rug; and the ground warp ends were arranged by tying every four of them together. For the left and right edges, three or more threads were wrapped together into a round stick-like form, and the second and third inner ground warps from the edges were stitched on to the wrapped edge. For the loop pile, loops were made in the direction of the warp; the ground warp and the ground weft may have been made with cotton, the pile warp with wool yarn. An analysis of the components of three rugs was conducted to determine which types of animal hair were used for the pile weft. Despite some inconclusive results, it was revealed that goat hair and fat-tailed sheep hair were used, raising the possibility that various kinds of animal fur were used in the production of pile cloth rugs. The six rugs examined in this study are estimated to have been made between the late 1800s and the early 1900s. Although the manufacturer of the rugs cannot be confirmed, we concluded that the rugs were produced in Korea after referring to the documentation of the domestic production of pile cloth rugs during the aforementioned period and the form and placements of the patterns on the rugs.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.32 no.1
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• pp.16-31
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• 2019

Objective : The purpose of this study is to analyze the charcateristics of inpatients in Ophthalmology, Otolaryngology & Dermatology Clinic by gender, age, season, and department of medical care after hospitalization from March, 2012 to February, 2018. Method : From March 1, 2012 to February 28, 2018, patients who were admitted to the Ophthalmology, Otolaryngology & Dermatology Clinic of Korean Medical Hospital were classified by gender, age, department, and season, and their relationship, hospitalization period, number of outpatient visits Differences were analyzed objectively using various statistical methods using IBM SPSS 18.0. Results : 1. The number of inpatients was 432, including duplication. Of these, 317 were female and 115 were male. The number of female patients was 2.8 times higher. 2. The average age of the inpatients was 43.9 years and the number of middle-aged 40-50 patients was 48.6%. 3. The number of inpatients in the departments was in the order of dermatology, otology, laryngology, rhinology, and ophthalmology. The most hospitalized diseases were eczema in the dermatology department, sudden hearing loss in the otology department, tonsillitis/peritonsillar abscess, rhinitis in the rhinology department, and dry eye syndrome in ophthalmology. 1) The effect of gender on the difference in the number of inpatients by subdivision was statistically significant. 2) The effect of age on the difference in the number of inpatients by subdivision was statistically significant. 3) The effect of seasons on the difference in the number of inpatients was not statistically significant. 4. The number of inpatients by season was in the order of winter, spring, summer, autumn, and the number of inpatients decreased significantly in autumn. 1) The effect of gender on the difference in the number of hospitalized patients by season was not statistically significant. 2) The effect of age on the difference in the number of hospitalized patients by season was not statistically significant. 5. The average length of hospital stay for inpatients was 10.7 days. 1) The effect of gender on length of hospital stay was not statistically significant. 2) The effect of age on hospital stay was not statistically significant. 3) The effect of the subdivision on hospital stay was statistically significant. 4) The effect of the season on hospital stay was not statistically significant. Conclusion : As a result of this study, the most distinctive feature of the present study was the high rate of inpatients with otic disease like idiopathic hearing loss and Meniere 's syndrome and the high rate of female patients. This may be related to the increased prevalence of the disease and the severity of the disease. In addition, the high rate of female patients suggests that women are more likely to be affected by illnesses, as well as to have more medical use and severe symptoms requiring hospitalization. In the future, it would be better to provide various treatment plans and policies for patients with otic diseases and female patients. Also it would be good if studies on these fields are made in the future.

• Journal of the Daesoon Academy of Sciences
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• v.36
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• pp.35-78
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• 2020

This study aims to reveal the overall Fengshui figuration and geomantic features of Daesoon Jinrihoe's Geumgangsan (Mt. Geumgang) Toseong Training Temple Complex from the Hyeonggi (Energy of Form) Theory in Fengshui. This study first looked at the mountain landscape viewable from the surface, examined the influence of Qi (Energy) flowing inside it, comprehended the flow of its vitality in terms of its strengths and weaknesses, and gauged the depth of the energy produced from mountain streams to determine fortune and misfortune. There is a special significance to this site due to Sangje's teaching that "⋯ it will be prosperous with 12,000 Dotonggunja (Dao-empowered Sages)," and it is also known as a efficacious grounds for cultivation among ascetics due to it housing the royal mausoleum of Dojeon (interpreted by some as Maitreya). Concerning this, this study explores the geomantic symbolism and growth-supporting land of Geumgangsan Toseong Training Temple Complex as it corresponds to Fengshui theory, and in keeping with this, the topography and conditions are likewise examined. The mountain range and its energy pathways (veins) harmonize with the pure water energy coming from the East Sea. The mountain terrain of Mount Geumgang, and the geomantic location, topography, and energy pathways that influence Daesoon Jinrihoe Geumgangsan Toseong Training Temple Complex are all explored. The Baekdudaegan Mountain Range extends through Mount Geumgang to Sinseonbong Peak, and one range extends to Geumgangsan Toseong Training Temple Complex whereas the other range extends through Sangbong Peak down to Misiryeong Valley and Mount Seorak. Thus, this study demonstrates that Daesoon Jinrihoe has always strongly considered the relationship between its temple complexes and their surrounding environment. The order has always selected locations that exhibit optimal conditions which suit the construction of sacred spaces. The determinations in this paper were made through an academic approach that drew upon various theories of Fengshui while examining Daesoon Jinrihoe's Geumgangsan Toseong Training Temple Complex. The in-depth analysis was specifically based on Hyeonggi Fengshui. At the same time, this study also looked into the surroundings of Geumgangsan Toseong Training Temple Complex. In particular, the mountains and flow of nearby bodies of water were comprehensively examined to show how the surrounding topography corresponds to the principles of Fengshui. An integral approach combining all major theories of Fengshui revealed that Geumgangsan Toseong Training Temple Complex starts from Sinseonbong Peak, and its energy flows through the main mountain range, going through numerous geographical changes of yin and yang. When the range flows down, the water flows accordingly, and where the water whirls, the mountains are shaped accordingly. Eventually, this energy reaches Geumgangsan Toseong Training Temple Complex. From the organic relationship between mountains and bodies of water, which can be said to be the essence of the order of nature, it can be judged that the most prominent geomantic feature of Geumgangsan Toseong Training Temple Complex corresponds to traditional theories of Fengshui in that it forms a configuration wherein optimal water energy supports the Virtuous Concordance of Yin Yang and harmonizes the Blue Dragon with the White Tiger.

• Journal of Global Scholars of Marketing Science
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• v.18 no.2
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• pp.89-111
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• 2008

Due to the development of digital technology, studies regarding smart wear integrating daily life have rapidly increased. However, consumer research about perception and attitude toward smart clothing hardly could find. The purpose of this study was to identify innovative characteristics and perceived risk of smart clothing and to analyze the influences of theses factors on product attitudes and intention to adopt. Specifically, five hypotheses were established. H1: Perceived attributes of smart clothing except for complexity would have positive relations to product attitude or purchase intention, while complexity would be opposite. H2: Product attitude would have positive relation to purchase intention. H3: Product attitude would have a mediating effect between perceived attributes and purchase intention. H4: Perceived risks of smart clothing would have negative relations to perceived attributes except for complexity, and positive relations to complexity. H5: Product attitude would have a mediating effect between perceived risks and purchase intention. A self-administered questionnaire was developed based on previous studies. After pretest, the data were collected during September, 2006, from university students in Korea who were relatively sensitive to innovative products. A total of 300 final useful questionnaire were analyzed by SPSS 13.0 program. About 60.3% were male with the mean age of 21.3 years old. About 59.3% reported that they were aware of smart clothing, but only 9 respondents purchased it. The mean of attitudes toward smart clothing and purchase intention was 2.96 (SD=.56) and 2.63 (SD=.65) respectively. Factor analysis using principal components with varimax rotation was conducted to identify perceived attribute and perceived risk dimensions. Perceived attributes of smart wear were categorized into relative advantage (including compatibility), observability (including triability), and complexity. Perceived risks were identified into physical/performance risk, social psychological risk, time loss risk, and economic risk. Regression analysis was conducted to test five hypotheses. Relative advantage and observability were significant predictors of product attitude (adj $R^2$=.223) and purchase intention (adj $R^2$=.221). Complexity showed negative influence on product attitude. Product attitude presented significant relation to purchase intention (adj $R^2$=.692) and partial mediating effect between perceived attributes and purchase intention (adj $R^2$=.698). Therefore hypothesis one to three were accepted. In order to test hypothesis four, four dimensions of perceived risk and demographic variables (age, gender, monthly household income, awareness of smart clothing, and purchase experience) were entered as independent variables in the regression models. Social psychological risk, economic risk, and gender (female) were significant to predict relative advantage (adj $R^2$=.276). When perceived observability was a dependent variable, social psychological risk, time loss risk, physical/performance risk, and age (younger) were significant in order (adj $R^2$=.144). However, physical/performance risk was positively related to observability. The more Koreans seemed to be observable of smart clothing, the more increased the probability of physical harm or performance problems received. Complexity was predicted by product awareness, social psychological risk, economic risk, and purchase experience in order (adj $R^2$=.114). Product awareness was negatively related to complexity, meaning high level of product awareness would reduce complexity of smart clothing. However, purchase experience presented positive relation with complexity. It appears that consumers can perceive high level of complexity when they are actually consuming smart clothing in real life. Risk variables were positively related with complexity. That is, in order to decrease complexity, it is also necessary to consider minimizing anxiety factors about social psychological wound or loss of money. Thus, hypothesis 4 was partially accepted. Finally, in testing hypothesis 5, social psychological risk and economic risk were significant predictors for product attitude (adj $R^2$=.122) and purchase intention (adj $R^2$=.099) respectively. When attitude variable was included with risk variables as independent variables in the regression model to predict purchase intention, only attitude variable was significant (adj $R^2$=.691). Thus attitude variable presented full mediating effect between perceived risks and purchase intention, and hypothesis 5 was accepted. Findings would provide guidelines for fashion and electronic businesses who aim to create and strengthen positive attitude toward smart clothing. Marketers need to consider not only functional feature of smart clothing, but also practical and aesthetic attributes, since appropriateness for social norm or self image would reduce uncertainty of psychological or social risk, which increase relative advantage of smart clothing. Actually social psychological risk was significantly associated to relative advantage. Economic risk is negatively associated with product attitudes as well as purchase intention, suggesting that smart-wear developers have to reflect on price ranges of potential adopters. It will be effective to utilize the findings associated with complexity when marketers in US plan communication strategy.