• Proceedings of the Korean Information Science Society Conference
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• 2010.11a
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• pp.101-106
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• 2010

As a part of preparing the sniffing attack, this routing method presented in this thesis decreases the risk rates of the leaking of information through separating valid data and transmitting by a multi-path. then data is transmitted from start node to destination node on distributed sensor network. The level of reduction in leaking of information by the sniffing attack is proved by experimental result thich compare the case described above with the case of transmitting whole data with the single path by simulation, and the algorithm for choosing the routing path is showed by proof of the theorem.

• Earthquakes and Structures
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• v.9 no.6
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• pp.1337-1353
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• 2015

Seismic upgrading of existing structures is a technical and social issue aimed at risk reduction. Sustainable design is one of the most important challenges in any structural project. Nowadays, many retrofit strategies are feasible and several traditional and innovative options are available to engineers. Basically, the design strategy can lead to increase structural ductility, strength, or both of them, but also stiffness regulation and supplemental damping are possible strategies to reduce seismic vulnerability. Each design solution has different technical and economical performances. In this paper, four different design solutions are presented for the retrofit of an existing RC frame with poor concrete quality and inadequate reinforcement detailing. The considered solutions are based on FRP wrapping of the existing structural elements or alternatively on new RC shear walls introduction. This paper shows the comparison among the considered design strategies in order to select the suitable solution, which reaches the compromise between the obtained safety level and costs during the life-cycle of the building. Each solution is worked out by considering three different levels of seismic demand. The structural capacity of the considered retrofit solutions is assessed with nonlinear static analysis and the seismic performance is evaluated with the capacity spectrum method.

• Journal of Environmental Science International
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• v.15 no.10
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• pp.913-918
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• 2006

Despite the wide distribution of air pollutants, the concentrations of indoor air pollutants may be the dominant risk factor in personal exposure due to the fact that most people spend an average of 80% of their time in enclosed buildings. Researches for improvement of indoor air quality have been developed such as installation of air cleaning device, ventilation system, titanium dioxide$(TiO_2)$ coating and so on. However, it is difficult to evaluate the magnitude of improvement of indoor air quality in field study because indoor air quality can be affected by source generation, outdoor air level, ventilation, decay by reaction, temperature, humidity, mixing condition and so on. In this study, evaluation of reduction of formaldehyde and nitrogen dioxide emission rate in indoor environments by $TiO_2$ coating material was carried out using mass balance model in indoor environment. we proposed the evaluation method of magnitude of improvement in indoor air quality, considering outdoor level and ventilation. Since simple indoor concentration measurements could not properly evaluate the indoor air quality, outdoor level and ventilation should be considered when evaluate the indoor net quality.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.2
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• pp.14-24
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• 2021

This study aims to examine probable human errors when landing an airplane by the use of SHERPA(systematic human error reduction and prediction approach) and propose methods for preventing the predictive human errors. It has been reported that human errors are concerned with a lot of accidents or incidents of an airplane. It is significant to predict presumable human errors, particularly in the operation mode of human-automation interaction, and attempt to reduce the likelihood of predicted human error. By referring to task procedures and interviewing domain experts, we analyzed airplane landing task by using HTA(hierarchical task analysis) method. In total, 6 sub-tasks and 19 operations were identified from the task analysis. SHERPA method was used for predicting probable human error types for each task. As a result, we identified 31 human errors and predicted their occurrence probability and criticality. Based on them, we suggested a set of methods for minimizing the probability of the predicted human errors. From this study, it can be said that SHERPA can be effectively used for predicting probable human error types in the context of human-automation interaction needed for navigating an airplane.

• Journal of Korean Medicine Rehabilitation
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• v.29 no.3
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• pp.15-33
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• 2019

Objectives The objective of this study is to provide the evidence of the effectivness of herbal medicine for frozen shoulder. Methods 2 Korean medical on-line databases (Oriental Medicine Advanced Searching Integrated System, Korean Traditional Knowledge), and 3 foreign databases (Pubmed, Cochrane library, China National Knowledge Infrastructure) were searched to find articles concerning herbal medicine for frozen shoulder. We selected randomized controlled trials (RCTs). Several repeated articles and those not relevant to the topic were excluded, as well as review articles and commentaries. The methodological quality of RCTs were evaluated using the Cochrane risk of bias tool and meta-analyes were perfomed. Results Total 474 studies were founded and 22 RCTs were selected for systematic review. Efficiency rate was used as the primary evaluation method. Almost studies reported that herbal medicine has significant effect on pain reduction, increasing shoulder function on frozen shoulder. 3 studies comparing herbal medicine and chuna with chuna and 3 studies comparing herbal medicine with ibuprofen were included in the meta-analysis. At herbal medicine and chuna with chuna meta-analysis, it showed positive results of herbal medicine for efficiency rate (risk ratio: 1.18, 95% confidence interval: 1.09-1.27, p<0.0001). At herbal medicine with ibuprofen medta-analysis, it showed positive results of herbal medicine for efficiency rate (risk ratio: 1.15, 95% confidence interval: 1.05-1.27, p=0.003). Conclusions The studies showed that herbal medicine can significantly effective on frozen shoulder. However, the risk of bias in RCTs were evaluated as uncertain. In the future, further well-designed RCTs are needed to prove the effectiveness of herbal medicine for frozen shoulder and reduce the risk of bias.

• Clinical and Experimental Pediatrics
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• v.46 no.1
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• pp.37-41
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• 2003

Purpose : Although air enema reduction has been known as a good method of diagnosis and treatment of intussusception, it could develop colon perforation. However, there have been few studies about this complication. So we analyzed the risk factors of colon perforation during air enema reduction in patients with intussusception. Methods : We reviewed the charts of 12 colon perforation patients during air enema reduction of intussusception, who were admitted to Gil Medical Center from Jan. 1990 to Dec. 2001. Their age, sex, major symptoms, length of time till hospital visit, types of intussusception, operative findings and pathologic reports were reviewed. Results : Among 657 cases, 596 patients(90.7%) were successfully treated, but 12 patients(1.83%) failed in air enema reduction and had colon perforation. In patients with colon perforation the male to female ratio was 11 : 1, and average age was 5.3 months. The most common symptom at the time of hospital visit was vomiting(91.7%). Cyclic irritability(75.0%), bloody stool(75.0%) and abdominal mass(41.7%) were also noted. The average length of time between symptom onset and hospital visit was 44.7 hours. Types of intussusception were predominantly ileocolic, ileocecal, and ileoileocolic. The site of perforation was most commonly found at the proximal part of intussusception including ascending colon(50%) and transverse colon(50%). Most cases were uncomplicated, and had a single perforation. Pathologic reports showed hemorrhagic necrosis and mesenteric laceration at the site of colon perforation. Complications of colon perforation were tension pneumoperitonium(58.3%), requiring immediate decompression. Conclusion : The chance of colon perforation during air enema reduction increases in cases with small bowel obstruction on simple abdominal x-ray of a patient younger than 6 months, delay in time till hospital visit and higher air pressure during reduction. Therefore more careful investigation is needed in these cases.

• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.81-90
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• 2017

In Imjin River basin, three floods occurred between 1996 and 1999, causing many casualties and economic losses of 900 billion won. In Korea, flood damage is expected to increase in the future due to climate change. This study used the climate scenarios to estimate future flood damage costs and suggested a real options-based economic assessment method. Using proposed method, the flood control infrastructures in Imjin River basin were selected as a case study site to analyze the economic feasibility of the investment. Using RCP (Representative Concentration Pathway) climate scenarios, the future flood damage costs were estimated through simulated rainfall data. This study analyzed the flood reduction benefits through investment in the flood control infrastructures. The volatility of flood damage reduction benefits were estimated assuming that the RCP8.5 and RCP4.5 climate scenarios would be realized in the future. In 2071, the project option value would be determined by applying an extension option to invest in an upgrading that would allow the project to adapt to the flood of the 200-year return period. The results of the option values show that the two investment scenarios are economically feasible and the project under RCP8.5 climate scenario has more flood damage reduction benefits than RCP4.5. This study will help government decision makers to consider the uncertainty of climate change in the economic assessment of flood control infrastructures using real options analysis. We also proposed a method to quantify climate risk factors into economic values by using rainfall data provided by climate scenarios.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.105-129
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• 2020

This study uses corporate data from 2012 to 2018 when K-IFRS was applied in earnest to predict default risks. The data used in the analysis totaled 10,545 rows, consisting of 160 columns including 38 in the statement of financial position, 26 in the statement of comprehensive income, 11 in the statement of cash flows, and 76 in the index of financial ratios. Unlike most previous prior studies used the default event as the basis for learning about default risk, this study calculated default risk using the market capitalization and stock price volatility of each company based on the Merton model. Through this, it was able to solve the problem of data imbalance due to the scarcity of default events, which had been pointed out as the limitation of the existing methodology, and the problem of reflecting the difference in default risk that exists within ordinary companies. Because learning was conducted only by using corporate information available to unlisted companies, default risks of unlisted companies without stock price information can be appropriately derived. Through this, it can provide stable default risk assessment services to unlisted companies that are difficult to determine proper default risk with traditional credit rating models such as small and medium-sized companies and startups. Although there has been an active study of predicting corporate default risks using machine learning recently, model bias issues exist because most studies are making predictions based on a single model. Stable and reliable valuation methodology is required for the calculation of default risk, given that the entity's default risk information is very widely utilized in the market and the sensitivity to the difference in default risk is high. Also, Strict standards are also required for methods of calculation. The credit rating method stipulated by the Financial Services Commission in the Financial Investment Regulations calls for the preparation of evaluation methods, including verification of the adequacy of evaluation methods, in consideration of past statistical data and experiences on credit ratings and changes in future market conditions. This study allowed the reduction of individual models' bias by utilizing stacking ensemble techniques that synthesize various machine learning models. This allows us to capture complex nonlinear relationships between default risk and various corporate information and maximize the advantages of machine learning-based default risk prediction models that take less time to calculate. To calculate forecasts by sub model to be used as input data for the Stacking Ensemble model, training data were divided into seven pieces, and sub-models were trained in a divided set to produce forecasts. To compare the predictive power of the Stacking Ensemble model, Random Forest, MLP, and CNN models were trained with full training data, then the predictive power of each model was verified on the test set. The analysis showed that the Stacking Ensemble model exceeded the predictive power of the Random Forest model, which had the best performance on a single model. Next, to check for statistically significant differences between the Stacking Ensemble model and the forecasts for each individual model, the Pair between the Stacking Ensemble model and each individual model was constructed. Because the results of the Shapiro-wilk normality test also showed that all Pair did not follow normality, Using the nonparametric method wilcoxon rank sum test, we checked whether the two model forecasts that make up the Pair showed statistically significant differences. The analysis showed that the forecasts of the Staging Ensemble model showed statistically significant differences from those of the MLP model and CNN model. In addition, this study can provide a methodology that allows existing credit rating agencies to apply machine learning-based bankruptcy risk prediction methodologies, given that traditional credit rating models can also be reflected as sub-models to calculate the final default probability. Also, the Stacking Ensemble techniques proposed in this study can help design to meet the requirements of the Financial Investment Business Regulations through the combination of various sub-models. We hope that this research will be used as a resource to increase practical use by overcoming and improving the limitations of existing machine learning-based models.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.147-155
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• 2020

The purpose of this study was to compare the risk factors of pressure sores and preventive intervention strategies and to provide basic data for the management of pressure sores prevention for long-term care facilities. It was a mixed method study using a systematic literature review and focus group interviews for analysis. A PRISMA flow diagram was prepared in accordance with the research selection process for the systemic literature review. The studies were retrieved from domestic and international studies from 2010 to June, 2019. A total of 8 studies were selected according to the selection criteria. The studies were searched electronically using a search engine with the key words of 'pressure ulcers', 'bedsore', 'decubitus ulcers', 'intervention', 'prevention', 'elderly', and 'long term'. Focus group interviews were conducted through a semi-structured questionnaire for nurses who had worked for more than three years in long-care facilities. The study results suggest that position change and pressure reduction device reduced the incidence of pressure sores and were important for prevention. The use of standardized care protocols is necessary. Multidisciplinary cooperation was an important issue.

• Journal of Chest Surgery
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• v.38 no.3 s.248
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• pp.221-228
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• 2005

Reduction aortoplasty has been advocated for dilatation of the ascending aorta associated with aortic valve disease in older, high-risk patients. We report our results with modification of reduction aortoplasty and aortic valve replacement. Material and Method: Between July 2001 and December 2002, 14 consecutive patients who underwent modification of reduction aortoplasty, suture plication technique without excision of the dilated aortic wall, were reviewed. The mean age was 63.7$\pm$6.7 (50 to 75) years. Ten patients had congenital bicuspid aortic valve, Twelve patients had severe aortic valve stenosis and 6 had regurgitation of grade III$\~$IV. The diameter of the ascending aorta was measured before and immediately after surgery and 6 and 12 months postoperatively using echocardiography or computed tomography. Follow-up was complete in an average of 14.7$\~$5.4 (7 to 24) months. Result: There were no early postoperative deaths and no bleeding complications. Reduction aortoplasty with suture plication technique decreased the diameter of ascending aorta from 49.4$\pm$3.5 mm preoperatively to 33.2$\pm$3.4 mm postoperatively (p <0.001). During follow-up, there were no late deaths and no aneurysm recurrence on the ascending aorta. Conclusion: Suture plication technique of reduction aortoplasty without excision of the dilated aortic wall offers good early and short-term results in older, high-risk patients with dilatation of the ascending aorta associated with aortic valve disease. Surgical long-term results of our technique should be evaluated in further studies.