• Journal of Oral Medicine and Pain
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• v.32 no.3
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• pp.283-292
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• 2007

In several treatment modalities for snoring and obstructive sleep apnea (OSA), oral appliances mainly including mandibular advancement appliance (MAA) and tongue retaining device (TRD) are recognized as a non-invasive, reversible alternative with favorable results. Tongue bulb is a major component of TRD which prevents the tongue from approaching the posterior wall of the pharynx and can be combined with MAA. Determination of tongue bulb size for the patient is important for therapeutic effect, but frequently needs time-consuming work. For effective fabrication and standardization of tongue bulbs, this study aimed to categorize tongue bulb size for healthy young men and to examine its relation with maximum retention force and with physical parameters including tongue-related variables. 36 non-snoring, asymptomatic young men with normal occlusion were voluntarily participated in this study (mean age: $24.47{\pm}2.58$ years). Experimental procedures consisted of prefabrication of tongue bulb set (20 types with a width of 27-36mm and thickness of 8 and 10 mm), determination of tongue bulb size and the maximum retention force for each subject, and measurement of physical parameters including body mass index (BMI), neck circumference and width, thickness and length of tongue. This study showed that there was significant difference of retention force among the bulb size-related groups both in upright and supine position (p<0.05) and that retention force increased with bulb size. Correlation of tongue bulb size with physical parameters was not clearly verified and there was no significant difference in retention force between upright and supine positions. Based on our results, it can be suggested that retention force relates with tongue bulb size, ultimately with tongue volume. A further study needs to be performed in the patients with snoring and OSA.

• Journal of the Korean Geotechnical Society
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• v.15 no.2
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• pp.43-71
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• 1999

This research is an experimental work of developing a construction material using municipal wastewater sludge as liner and cover materials for waste disposal landfill. Weathered granite soil and flyash, produced as a by-product in the power plant, were used as the primary additives to improve geotechnical engineering properties of sludge. For secondary additives, bentonite and cement were mixed with sludge to decrease the permeability and to increase the shear strength, respectively. Various laboratory test required to evaluate the design criteria for liner and cover materials, were carried out by changing the mixing ratio of sludge with the additives. Basic soil properties such as specific gravity, grain size distribution, liquid and plastic limits were measured to analyze their effects on permeability, compaction, compressibility and shear strength properties of mixtures. Laboratory compaction tests were conducted to find the maximum dry densities and the optimum moisture contents of mixtures, and their effectiveness of compaction in field was consequently evaluated. Permeability tests of variable heads with compacted samples, and the stress-controlled consolidation tests with measuring permeabilities of samples during consolidation process were performed to obtain permeability, and to find the compressibility as well as consolidational coefficients of mixtures, respectively. To evaluate the long term stability of sludges, creep tests were also conducted in parallel with permeability tests of variable heads. On the other hand, for the compacted sludge decomposed for a month, permeability tests were carried out to investigate the effect of decomposition of organic matters in sludges on its permeability. Direct shear tests were performed to evaluate the shear strength parameters of mixed sludge with weathered granite, flyash and bentonite. For the mixture of sludge with cement, unconfined compression tests were carried out to find their strength with varying mixing ratio and curing time. On the other hand, CBR tests for compacted specimen were also conducted to evaluate the trafficability of mixtures. Various test results with mixtures were assessed to evaluate whether their properties meet the requirements as liner and cover materials in waste disposal landfill.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.93-107
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• 2014

In this paper, we report what we have observed with regard to user-perspective issue clustering based on multi-layered two-mode network analysis. This work is significant in the context of data collection by companies about customer needs. Most companies have failed to uncover such needs for products or services properly in terms of demographic data such as age, income levels, and purchase history. Because of excessive reliance on limited internal data, most recommendation systems do not provide decision makers with appropriate business information for current business circumstances. However, part of the problem is the increasing regulation of personal data gathering and privacy. This makes demographic or transaction data collection more difficult, and is a significant hurdle for traditional recommendation approaches because these systems demand a great deal of personal data or transaction logs. Our motivation for presenting this paper to academia is our strong belief, and evidence, that most customers' requirements for products can be effectively and efficiently analyzed from unstructured textual data such as Internet news text. In order to derive users' requirements from textual data obtained online, the proposed approach in this paper attempts to construct double two-mode networks, such as a user-news network and news-issue network, and to integrate these into one quasi-network as the input for issue clustering. One of the contributions of this research is the development of a methodology utilizing enormous amounts of unstructured textual data for user-oriented issue clustering by leveraging existing text mining and social network analysis. In order to build multi-layered two-mode networks of news logs, we need some tools such as text mining and topic analysis. We used not only SAS Enterprise Miner 12.1, which provides a text miner module and cluster module for textual data analysis, but also NetMiner 4 for network visualization and analysis. Our approach for user-perspective issue clustering is composed of six main phases: crawling, topic analysis, access pattern analysis, network merging, network conversion, and clustering. In the first phase, we collect visit logs for news sites by crawler. After gathering unstructured news article data, the topic analysis phase extracts issues from each news article in order to build an article-news network. For simplicity, 100 topics are extracted from 13,652 articles. In the third phase, a user-article network is constructed with access patterns derived from web transaction logs. The double two-mode networks are then merged into a quasi-network of user-issue. Finally, in the user-oriented issue-clustering phase, we classify issues through structural equivalence, and compare these with the clustering results from statistical tools and network analysis. An experiment with a large dataset was performed to build a multi-layer two-mode network. After that, we compared the results of issue clustering from SAS with that of network analysis. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The sample dataset contains 150 million transaction logs and 13,652 news articles of 5,000 panels over one year. User-article and article-issue networks are constructed and merged into a user-issue quasi-network using Netminer. Our issue-clustering results applied the Partitioning Around Medoids (PAM) algorithm and Multidimensional Scaling (MDS), and are consistent with the results from SAS clustering. In spite of extensive efforts to provide user information with recommendation systems, most projects are successful only when companies have sufficient data about users and transactions. Our proposed methodology, user-perspective issue clustering, can provide practical support to decision-making in companies because it enhances user-related data from unstructured textual data. To overcome the problem of insufficient data from traditional approaches, our methodology infers customers' real interests by utilizing web transaction logs. In addition, we suggest topic analysis and issue clustering as a practical means of issue identification.

• Clean Technology
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• v.13 no.2
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• pp.143-150
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• 2007

The objective of this study is to develop hydrocarbon-based cleaning agents by blending paraffins, glycol ethers and siloxanes in oder to effectively clean contaminants such as flux, solder and grease. And the effect of cleaning ability by wetting index, aniline points and solubility parameter of the formulated hydrocarbon-based cleaning agents were studied in this work. The formulated hydrocarbon-based cleaning agents were prepared on the base of physical properties of their individual components. Wetting indexes and aniline points of their were measured through experiments and solubility parameters of their were calculated based on the Hansen's equation. In this study, evaluation of cleaning ability by cleaning agents were carried out using contaminants such as flux, solder, and grease. The experimental results showed that the cleaning ability of the formulated cleaning agents was excellent in cleaning contaminants such as flux, solder and grease and that the influencing parameters on their cleaning efficiency were found to be different according to contaminant types. MC($20.3MPa^{1/2}$), DF-1 ($24.2MPa^{1/2}$) and DF-2($21.5MPa^{1/2}$) with similar solubility parameter as flux ($21.3MPa^{1/2}$) showed 100% cleaning efficiency within 3 minutes in flux cleaning. And CFC-113, MC and 1,1,1-TCE with low aniline point less than $-20^{\circ}C$ showed excellent cleaning efficiency in solder cleaning. DG-1($16.2\;MPa^{1/2}$) and DG-2($15.5\;MPa^{1/2}$) with similar solubility parameter as grease($15.0{\sim}17.0\;MPa^{1/2}$) showed relatively low cleaning efficiency of grease, but CFC-113 and MC with high wetting index and low aniline point showed good cleaning efficiency in grease cleaning. As a result of this study, the hydrocarbon-based cleaning agents alternative to regulated cleaning agents such as CFC-113, 1,1,1-TCE and MC were able to be developed through properly blending paraffins, glycol ethers and siloxanes for cleaning flux, solder and grease. And it can be shown that various influencing parameters of cleaning efficiency such as wetting index, aniline point, solubility parameter and etc. of the non-aqueous cleaning agent should be reviewed for prediction of their cleaning ability and can be applied to formulation of cleaning agents.

• Journal of dental hygiene science
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• v.11 no.6
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• pp.573-581
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• 2011

The purpose of this study was to examine the professionalism of dental hygienists in dental institutions and the influential factors for their professionalism in an attempt to seek ways of enhancing the professionalism of dental hygienists. The subjects in this study were 172 dental hygienists who worked in dental institutions in Busan and Gimhae. A self-administered survey was conducted to gather data, and an experimental analysis was carried out to analyze the collected data. The major findings of the study were as follows: First, concerning professionalism, self-regulation belief(3.70) ranked highest(3.42), followed by service belief(3.65), autonomy belief(3.31), a sense of vocational calling(3.30) and utilization of the professional organization as a standard(3.12). Second, the professionalism of the dental hygienists was significantly better when their title was higher, when they were older, when they got a larger monthly pay and when they intended to work for a longer time. Third, as for the influential factors for their professionalism, age, marital status, the estimated term of working at the workplace and opinion on reemployment were also identified as the significant variables that were up to the standard level of significance(p=0.05). The findings of the study suggest that in order to boost the professionalism of dental hygienists, it's required to take institutional measures to give them more responsibility, autonomy and authority, and how to improve personnel administration by providing strong motivation for them to look at their workplaces more favorably and keep on working for a long time should discreetly be considered.

• Food Science and Preservation
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• v.18 no.4
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• pp.567-574
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• 2011

In this work, the major flavonoid content of citrus peel ethanol extract and the changes in the serum lipid and body fat of high-fat-diet-fed rats were examined. The subjects were divided into four groups: the normal, control, O1 (0.1% citrus peel ethanol extract), and O5 (0.5% citrus peel ethanol extract) groups. The experimental groups (O1 and O5) were fed a high-fat diet mixed with 0.1 and 0.5% citrus peel ethanol extract, respectively, for 10 weeks. The results of the analysis showed that the main ingredients of the flavonoid in the citrus peel ethanol extract (60 brix) were $38.21{\pm}1.37$ mg/g hesperidin and $15.02{\pm}0.48$ mg/g narirutin. With regard to the changes in the serum total-cholesterol level, compared with the control group's $79.1{\pm}4.6$ mg/dL, the serum total-cholesterol levels of the O1 and O5 groups were significantly lowered to $64.6{\pm}5.4$ and $59.5{\pm}4.7$ mg/dL, respectively. As for the changes in the LDL-cholesterol level, compared with the control group's $18.4{\pm}3.7$ mg/dL, the LDL-cholesterol levels of the O1 and O5 groups were significantly lowered to $13.0{\pm}3.6$ and $13.0{\pm}1.9$ mg/dL, respectively. For the changes in the serum triglyceride level, compared with the control group's $74.5{\pm}13.2$ mg/dL, the serum triglyceride level of the O5 group was significantly lowered to $48.6{\pm}11.2$ mg/dL. Finally, with regard to the changes in body fat, compared with the control group, the 05 group showed a significant decrease. In conclusion, it was observed that citrus peel ethanol extract was effective in lowering the total-cholesterol, LDL-cholesterol, and triglyceride levels of high-fat-diet-fed rats.

• Journal of Korean Home Economics Education Association
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• v.20 no.4
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• pp.173-186
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• 2008

This study aimed to examine the operation of the Home Economics education courses in the graduate schools of education, and to find out how graduate students perceive them. Data were collected with the use of handbooks issued by 11 graduate schools of education located in Seoul, and through telephone conversations with the administrative staff. To determine how graduate students majoring in Home Economics perceive their Home Economics courses, a survey was conducted among the graduate students in 10 graduate schools of education, and a total of 131 accomplished questionnaires were used for data analysis. The results of the study are as follows. First, all 11 graduate schools aimed to retrain their teachers, enhance their professionalism, and produce home economics education experts. The Home Economics Education courses come in two strands; a teacher's course and a major course. Most of the schools require a total of 30 credits. All Schools lack professors. Only 3 graduate schools have a home Economics Department in the College of Education. All graduate schools are offering a teacher's course based on a teacher's certification system. In a major course, Home Economics education has the largest number of subjects, with Clothing and Textiles and Food and Nutrition being given greater emphasis, and Consumer Economics, Home Economics Management, Child Care, and Family and Housing Studies being given less emphasis. Second, they mostly regard the graduate school of education as producer of experts, followed by producers of teachers and teacher re-trainers. Those who were majoring in Home Economics Education in college, and the teachers, are more interested in teacher re-training, while the non-teachers and those who were not majoring in Home Economics Education are more interested in producing teachers. They are less satisfied with the operation of the graduate school of education. But they are generally satisfied with the Home Economics Education course. Graduate students registered the lowest satisfaction with a major course, especially experimental subjects. For a teacher's course, the graduate students who are not teachers exhibited higher satisfaction, whereas the teachers showed lower satisfaction. But teachers registered more satisfaction with the practical use of major subjects in the educational field, thinking that their major was a big help in their work at a school. As for what has to be improved with regard to the Home Economics Education course, many cited the necessity of securing a good faculty and expanding the major subjects.

• Journal of the Korean Society of Food Science and Nutrition
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• v.24 no.6
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• pp.1026-1038
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• 1995

Although aloe lost a lot of its previous popularity in modern clinical uses as medicine numerous scientific researches still have claimed the beneficial properties(curing and general tonic effect) of aloe gel. Whereas considerable contradictory reports have helped to confuse the aloe gel issue and continually aroused controversy about aloe gel efficacy. However health food, cosmetic and medicinal products made from aloe gel are widely available in the world market especially in U.S.A. so the growing of Aloe plant and the processing of A. vera gel have become big industries in some countries. In some previous papers the salicylic acid, one of the common trace gel components, was thought to have an analgetic and antinflammatory effect. Large amount of Mg ion in the gel was suggested to act as anesthetic, Mg-lactate as antihistamic, and Aloctin A(a glycoprotein) as wound healer by promoting the cell growth. The carboxypeptidase and bradykinase activity in the gel were proposed to have the pain relieving and antiinflammatory effect. But any of thes etheories concerining the physiological action of the trace gel components has not been demonstrated by modern pharmacology, and failed to be supported by clinical research. It was suggested by some research workers that trace amount of anthraquinone compounds in the gel play an important role to act as false substrate inhibitors for PG and TX production(antiprostanoid effect), by which, they believed, inflammation, burn and frostbite, and infected wound could be healed. This hypothesis has not been substantiated. Butthe suggested antimicrobial action, antidiabetic, and antidotic effect of aloe gel are likely to be attributed to the trace anthraquinone compounds. In a lot of recent experimental reports it has been claimed that aloe gel polysaccharides(acetylglucomannan, acetylmannan, and glycoprotein) have the antimicrobial, antinflammatory, antitumour, and infected wound healing effect by immunoenhancement. It is hoped that these effects will be soon documented in clinical studies, then the controversy on aloe gel beneficial effect will cease. In the 30 days subchronic toxicity test the lowest observed adverse effect level of acemannan(acetylmannan) on dog was 5.0 mg/kg, IP. But the aloe gel is generally agreed to be harmless and non toxic even for the internal use such as health food. In the case of idiosynrasy one must keep the delayed type hypersensitivity reaction of aloe gel in mind. In conclusion it seem to be impossible to simply refuse a lot of evidences made by research workers who have claimed aloe gel's beneficial effects and to deny the fact that there had been long therapeutic histories of Aloe plants.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.47-60
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• 2012

Video data comes in the form of the unstructured and the complex structure. As the importance of efficient management and retrieval for video data increases, studies on the video parsing based on the visual features contained in the video contents are researched to reconstruct video data as the meaningful structure. The early studies on video parsing are focused on splitting video data into shots, but detecting the shot boundary defined with the physical boundary does not cosider the semantic association of video data. Recently, studies on structuralizing video shots having the semantic association to the video scene defined with the semantic boundary by utilizing clustering methods are actively progressed. Previous studies on detecting the video scene try to detect video scenes by utilizing clustering algorithms based on the similarity measure between video shots mainly depended on color features. However, the correct identification of a video shot or scene and the detection of the gradual transitions such as dissolve, fade and wipe are difficult because color features of video data contain a noise and are abruptly changed due to the intervention of an unexpected object. In this paper, to solve these problems, we propose the Scene Detector by using Color histogram, corner Edge and Object color histogram (SDCEO) that clusters similar shots organizing same event based on visual features including the color histogram, the corner edge and the object color histogram to detect video scenes. The SDCEO is worthy of notice in a sense that it uses the edge feature with the color feature, and as a result, it effectively detects the gradual transitions as well as the abrupt transitions. The SDCEO consists of the Shot Bound Identifier and the Video Scene Detector. The Shot Bound Identifier is comprised of the Color Histogram Analysis step and the Corner Edge Analysis step. In the Color Histogram Analysis step, SDCEO uses the color histogram feature to organizing shot boundaries. The color histogram, recording the percentage of each quantized color among all pixels in a frame, are chosen for their good performance, as also reported in other work of content-based image and video analysis. To organize shot boundaries, SDCEO joins associated sequential frames into shot boundaries by measuring the similarity of the color histogram between frames. In the Corner Edge Analysis step, SDCEO identifies the final shot boundaries by using the corner edge feature. SDCEO detect associated shot boundaries comparing the corner edge feature between the last frame of previous shot boundary and the first frame of next shot boundary. In the Key-frame Extraction step, SDCEO compares each frame with all frames and measures the similarity by using histogram euclidean distance, and then select the frame the most similar with all frames contained in same shot boundary as the key-frame. Video Scene Detector clusters associated shots organizing same event by utilizing the hierarchical agglomerative clustering method based on the visual features including the color histogram and the object color histogram. After detecting video scenes, SDCEO organizes final video scene by repetitive clustering until the simiarity distance between shot boundaries less than the threshold h. In this paper, we construct the prototype of SDCEO and experiments are carried out with the baseline data that are manually constructed, and the experimental results that the precision of shot boundary detection is 93.3% and the precision of video scene detection is 83.3% are satisfactory.

• Journal of KIISE:Databases
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• v.33 no.1
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• pp.42-55
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• 2006

We propose a single Index approach for subsequence matching that supports moving average transform of arbitrary order in time-series databases. Using the single index approach, we can reduce both storage space overhead and index maintenance overhead. Moving average transform is known to reduce the effect of noise and has been used in many areas such as econometrics since it is useful in finding overall trends. However, the previous research results have a problem of occurring index overhead both in storage space and in update maintenance since tile methods build several indexes to support arbitrary orders. In this paper, we first propose the concept of poly-order moving average transform, which uses a set of order values rather than one order value, by extending the original definition of moving average transform. That is, the poly-order transform makes a set of transformed windows from each original window since it transforms each window not for just one order value but for a set of order values. We then present theorems to formally prove the correctness of the poly-order transform based subsequence matching methods. Moreover, we propose two different subsequence matching methods supporting moving average transform of arbitrary order by applying the poly-order transform to the previous subsequence matching methods. Experimental results show that, for all the cases, the proposed methods improve performance significantly over the sequential scan. For real stock data, the proposed methods improve average performance by 22.4${\~}$33.8 times over the sequential scan. And, when comparing with the cases of building each index for all moving average orders, the proposed methods reduce the storage space required for indexes significantly by sacrificing only a little performance degradation(when we use 7 orders, the methods reduce the space by up to 1/7.0 while the performance degradation is only $9\%{\~}42\%$ on the average). In addition to the superiority in performance, index space, and index maintenance, the proposed methods have an advantage of being generalized to many sorts of other transforms including moving average transform. Therefore, we believe that our work can be widely and practically used in many sort of transform based subsequence matching methods.