• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.1
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• pp.62-69
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• 2008

In this paper, we proposed the real-time bio-signals monitoring system that is based on the ZigBee wireless sensor network and SIP. This system makes medical team and user easily confirm user's medical state irrelative to their location and time. The communication between medical sensors and the user's end device uses the ZigBee wireless sensor network. The power consumption was decreased because wireless sensor network does not use the Ad-hoc routing protocol but routing protocol that is based on tree structure. Our proposed system includes a wireless user's end device, monitoring console, SIP server and database server. This real-time bio-signals monitoring system makes possible to implement the U-health care services and improving efficiency of medical treatment services.

• Journal of Environmental Science International
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• v.29 no.5
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• pp.519-529
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• 2020

The purpose of this study was to provide basic health care data for the climate aspects of park re-cultivation by evaluating air ions according to the type of vegetation in the valley and upper slopes of the mountain park. Simple negative or positive air ions were expected to show the same tendencies, so they were analyzed in terms of correcting the air ion index. By analyzing the air ions according to the topography, it was found that valley > slope in terms of the air ion index. When analyzing air ions according to tree species, we found that evergreen conifers in the valley > the deciduous broad-leaved trees in the valley > the evergreen conifers in the slope = the deciduous broad-leaved trees in the slope. For DBH(Diameter at breast height), the valley large pole > slope large pole > slope medium hard wood, while crown density was analyzed as valley dense > slope dense> valley proper > slope proper. Layered structure analysis showed that the multi-layer structure of the valley > multi-layer structure of the slope = the single-layer structure of the valley > the single-layer structure of the slope. The correlation coefficient was determined according to vegetation type and air ion index in the order of DBH > crown density > layer structure > geomorphic structure. In this study, limits exist except for ridge line, valley, and slopes in urban mountain parks. Therefore, analysis should be made considering both topographical structure and various vegetation types in future studies of air ions.

• Gut and Liver
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• v.12 no.6
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• pp.674-681
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• 2018

Background/Aims: The cumulative surgery rate and postoperative relapse of intestinal Behçet's disease (BD) have been reported to be high. This study aimed to establish a scoring system based on follow-up endoscopic findings that can predict intestinal BD recurrence after surgery. Methods: Fifty-four patients with intestinal BD who underwent surgery due to bowel complications and underwent follow-up colonoscopy were retrospectively investigated. Their clinical data, including colonoscopic findings, were retrieved. Classification and regression tree analysis was used to develop an appropriate endoscopic classification model that can explain the postsurgical recurrence of intestinal BD most accurately based on the following classification: e0, no lesions; e1, solitary ulcer <20 mm in size; e2, solitary ulcer ${\geq}20mm$ in size; and e3, multiple ulcers regardless of size. Results: Clinical relapse occurred in 37 patients (68.5%). Among 38 patients with colonoscopic recurrence, only 29 patients had clinically relapsed. Multivariate analysis identified higher disease activity index for intestinal BD at colonoscopy (hazard ratio [HR], 1.013; 95% confidence interval [CI], 1.005 to 1.021; p=0.002) and colonoscopic recurrence (HR, 2.829; 95% CI, 1.223 to 6.545; p=0.015) as independent risk factors for clinical relapse of intestinal BD. Endoscopic findings were classified into four groups, and multivariate analysis showed that the endoscopic score was an independent risk factor of clinical relapse (p=0.012). The risk of clinical relapse was higher in the e3 group compared to the e0 group (HR, 6.284; 95% CI, 2.036 to 19.391; p=0.001). Conclusions: This new endoscopic scoring system could predict clinical relapse in patients after surgical resection of intestinal BD.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.127-135
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• 2023

Nowadays, the number of patients committing suicide due to depression and stress is rapidly increasing. In addition, if stress and depression last for a long time, they are dangerous factors that can cause heart disease, brain disease, and high blood pressure. However, no matter how modern medicine has developed, it is a very difficult situation for patients with depression and heart disease without special drugs or treatments. Therefore, in many countries around the world, studies are being actively conducted to determine patients at risk of depression and patients at risk of suicide at an early stage using electrocardiogram, oxygen saturation, and brain wave analysis functions. In this paper, in order to analyze these problems, a computer simulation was performed to determine heart disease risk patients by establishing heart disease hypothesis data. In particular, in order to improve the predictive rate of heart disease by more than 10%, a simulation using fuzzy inference was performed.

• Journal of Chest Surgery
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• v.8 no.2
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• pp.149-152
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• 1975

In spite of great advances in surgical treatment during past several decades, surgery of the trachea failed to develop correspondingly, partly because of relative rarity of the tracheal lesions and partly because of difficulties in surgical technique and anesthesia. Surgical diseases of the trachea are largely obstructions due to neoplasm or cicatrical stenosis and tracheal malacia. The present treatment of respiratory failure, using cuffed endotracheal and tracheostomy tubes, has produced, apparently with increasing frequency, tracheal stenosis, tracheomalized tracheal erosion. Surgery is presently the only reasonable way to treat stenotic lesions of the tracheobronchial tree. In the case of tumors, the current trend has been that of radical excision. Primary end-to--end reconstruction of the trachea has been generally recognized as the ideal method of repair following resection. However, for decades it was believed that a maximum of four tracheal rings only might be excised and primary healing achieved with safety. A great variety of procedures, developed by numerous investigations and directed at tracheal substitution, have almost invariably met with discouraging results. A meticulous study done by Grillo and associates on autopsy specimens has shown that an average 6.4cm of mediastinal trachea can be safely resected by full mobilization of the right lung and transplantation of the left main bronchus into the bronchus intermedius. Recently, we experienced a case of successful resection of a tumor of the tracheal carina and primary tracheo-left main bronchial anastomosis at the Department of Thoracic & Cardiovascular Surgery, the National Medical Center in Seoul. The patient, a 29-year-old man, was admitted to the hospital with complaints of dyspnea and cough. On admission, chest film showed hydropneumothorax on the right. After closed thoracostomy, hydropneumothorax disappeared, but hazy densities, developed in the right middle and lower lung fields, resisted to treatment. Bronchoscopy uncovered irregular tumor covering the carina and the right main bronchus, and biopsy indicated well differentiated squamous Cell carcinoma. Operation was performed on July 2, 1975. A right postero-lateral thoracotomy was used. Excision involved the lower trachea, the carina, the left main bronchus and the right lung. This was followed by direct anastomosis between the trachea and the left main bronchus. Bronchography was done on 17th postoperative day revealed good result of operation without stricture at the site ofanastomosis. About one month after the operation symptoms and signs of bronchial irritation with dyspnea developed, and these responded to respiratory care. On 82nd postoperative day, sudden dyspnea developed at night and the patient expired several hours later. Autopsy was not done and the cause of death was uncertain.

• Journal of Korea Multimedia Society
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• v.6 no.1
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• pp.148-160
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• 2003

TMA(Tissue Mineral Analysis) is very popular method in hair mineral analysis for health care professionals in over 48 countries medical center. Assesment of nutritional minerals and toxic elements in the hair is very important not only for determining adequacy, deficiencies and unbalance, but also for assessing their relative relationships in a body. In Korea, there are some problems in TMA method. Because of not haying a medical information database which is suitable for korean to do analyze, the requested TMA has to send to TEI-USA. However, as the TMA results from TEI-USA is composed of English documents and graphic files prohibited to open, its usability is very low and a lot of dollars has to be payed. Also, it can make some problems in the reliability of the TMA results, since the TMA results are based on the database of western health and mineral standards, To solve these problems, I developed the first Medical Information System of TMA in Korea here. The system can analyze the complex tissue mineral data with multiple stage decision tree classifier. It is also constructed with multiple fuzzy database and hence analyze the TMA data by fuzzy inference methods. The effectiveness test of this systems can be shown the increased business efficiency and satisfaction rate 86% and 92% respectively.

• The Journal of Industrial Distribution & Business
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• v.11 no.7
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• pp.29-40
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• 2020

Purpose: In modern society, many urban problems are occurring, such as aging, hollowing out old city centers and polarization within cities. In this study, we intend to apply big data and machine learning methodologies to predict depression symptoms in the elderly population early on, thus contributing to solving the problem of elderly depression. Research design, data and methodology: Machine learning techniques used random forest and analyzed the correlation between CES-D10 and other variables, which are widely used worldwide, to estimate important variables. Dependent variables were set up as two variables that distinguish normal/depression from moderate/severe depression, and a total of 106 independent variables were included, including subjective health conditions, cognitive abilities, and daily life quality surveys, as well as the objective characteristics of the elderly as well as the subjective health, health, employment, household background, income, consumption, assets, subjective expectations, and quality of life surveys. Results: Studies have shown that satisfaction with residential areas and quality of life and cognitive ability scores have important effects in classifying elderly depression, satisfaction with living quality and economic conditions, and number of outpatient care in living areas and clinics have been important variables. In addition, the results of a random forest performance evaluation, the accuracy of classification model that classify whether elderly depression or not was 86.3%, the sensitivity 79.5%, and the specificity 93.3%. And the accuracy of classification model the degree of elderly depression was 86.1%, sensitivity 93.9% and specificity 74.7%. Conclusions: In this study, the important variables of the estimated predictive model were identified using the random forest technique and the study was conducted with a focus on the predictive performance itself. Although there are limitations in research, such as the lack of clear criteria for the classification of depression levels and the failure to reflect variables other than KLoSA data, it is expected that if additional variables are secured in the future and high-performance predictive models are estimated and utilized through various machine learning techniques, it will be able to consider ways to improve the quality of life of senior citizens through early detection of depression and thus help them make public policy decisions.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.309-319
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• 2016

There is a need to develop a data quality management algorithm in order to improve the quality of health care data. In this study, we developed a data quality control algorithms associated diseases related to diabetes in patients with hypertension. To make a data quality algorithm, we extracted hypertension patients from 2011 and 2012 discharge damage survey data. As the result of developing Data quality management algorithm, significant factors in hypertension patients with diabetes are gender, age, Glomerular disorders in diabetes mellitus, Diabetic retinopathy, Diabetic polyneuropathy, Closed [percutaneous] [needle] biopsy of kidney. Depending on the decision tree results, we defined Outlier which was probability values associated with a patient having diabetes corporal with hypertension or more than 80%, or not more than 20%, and found six groups with extreme values for diabetes accompanying hypertension patients. Thus there is a need to check the actual data contained in the Outlier(extreme value) groups to improve the quality of the data.

• Current Research on Agriculture and Life Sciences
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• v.14
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• pp.85-100
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• 1996

The Studies were conducted to provide the state of mulberry cultivation and it's development in Banguet province (high land) of Philippines. Philippines initiated the sericulture industry with the technical asistance of Japan in 1974 and established mulberry field and sericultural facilities with technical asistance of Korea in 1990 and 1995. The required average of 100 to 150mm per month is not available during the dry season from December to March. Therefore mulching with grass which is available abundantly in the Philippines should be established to conserve moisture, to control soil erosion, surface ran-off and also to increase the humus content in the soil. In chemical properties of mulberry field, the pH value of soil is 4.7, organic matter 1.6%, and available phosphorus 6ppm. Therefore, all fields should do liming and be applied compost. To improve leaf yield for mulberry planted under partial shade area of pine trees, more pruning of pine tree should be done for good sunshining of mulberry, more liming and compost should be applied to improve acidic soil. To control the leaf roller, DDVP and KAFIL are able to be used. When spraying insecticides to control mulberry insect pests, care should be taken to consider the residual effects of chemicals on the leaf. Leaf should be fed to silkworms only after the leaves are free of any residual effects.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.41 no.4
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• pp.375-382
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• 2015

Ginsenosides (ginseng saponin) as the one of important pharmaceutical compounds of ginseng and is responsible for the pharmacological and biological activities. These ginsenoside produces diverse small molecules ginsenoside which have more pharmacological activities including anti-wrinkle, anti-cancer and anti-oxidant effects. In the present study, we isolated bacteria using esculin agar, to produce ${\beta}$-glucosidase, and we focused on the bio-transformation of ginsenoside. Phylogenetic tree analysis was performed by comparing the 16S rRNA sequences; we identified the strain as Stenotrophomonas rhizopilae strain GFC09. In order to determine the optimal conditions for enzyme activity, the crude enzyme was incubated with 1 mM ginsenoside $Rb_1$. Bioconversion of ginsenoside $Rb_1$ were analyzed using TLC and HPLC. The crude enzyme hydrolyzed the ginsenoside $Rb_1$ along the following pathway: LB: $Rb_1{\rightarrow}Rd{\rightarrow}F_2$ into compound K, TSB: $Rb_1{\rightarrow}Rd{\rightarrow}F_2$. The structure of the hydrolyzed metabolites were identified by NMR. The activity screening tests showed that the conversion product induced the production of type I procollagen in a dose-dependent manner. These results suggested that hydrolyzed ginseng product containing the ginsenoside $F_2$ and compound K could be useful as an active ingredient for wrinkle-care cosmetics.