• CELLMED
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• v.13 no.16
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• pp.59.1-59.4
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• 2023

Objective: Case study on the improvement of acne through application of Ortho-Cellular Nutrition Therapy (OCNT) Method: Implementation of OCNT on a 25-year old Korean male due to severe acne symptoms Results: Symptoms such as skin rash and wounds as well as the overall skin conditions improved following the implementation of OCNT. Conclusion: Application of OCNT can be helpful in alleviation of symptoms in patients suffering from acne.

• CELLMED
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• v.13 no.16
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• pp.60.1-60.3
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• 2023

Objective: Case report on the improvement of atrophic gastritis through application of Ortho-Cellular Nutrition Therapy (OCNT) Method: OCNT was applied to a Korean female in her 40s suffering from severe atrophic gastritis. Results: Atrophic gastritis was improved following the implementation of OCNT. Conclusion: Application of OCNT can be helpful in alleviation of symptoms in patients displaying atrophic gastritis symptoms.

• CELLMED
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• v.13 no.16
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• pp.61.1-61.3
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• 2023

Objective: Case report on improvement of pruritus through application of Ortho-Cellular Nutrition Therapy (OCNT) Method: OCNT was implemented on a Korean female patient in her 50s suffering from pruritus with unknown cause. Results: The pruritus improved upon implementation of OCNT. Conclusion: Application of OCNT can be helpful to pruritus patient.

• CELLMED
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• v.13 no.16
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• pp.62.1-62.4
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• 2023

Objective: Lymphedema case study through the application of Ortho-Cellular Nutrition Therapy (OCNT) Method: OCNT is implemented to a Korean female patient in her 70s with difficulties in walking due to severe swelling in one of her legs. Results: Lymphedema was improved following implementation of OCNT. Conclusion: Application of OCNT to lymphedema patient can be helpful.

• CELLMED
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• v.13 no.15
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• pp.57.1-57.5
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• 2023

Objective: Report on the case of improvement of alopecia through application of Ortho-Cellular Nutrition Therapy (OCNT). Methods: OCNT was applied to a Korean female in her 70s displaying severe alopecia symptom in her crown. Results: Alopecia was improved after the implementation of OCNT. Conclusion: Application of OCNT can be helpful to an alopecia patient.

• Journal of KIISE:Software and Applications
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• v.30 no.12
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• pp.1193-1207
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• 2003

Various web applications are developed as the Internet is popularized in many fields. However, in most cases of web application development, systematic analysis is omitted and developers jump into the implementation. Therefore developers have difficulties with applying the development methods for a large scale project. The approach of creating an analysis models of a web application from a business model is proposed for the rapid and efficient development. The analysis process, tasks and techniques are proposed for this approach. The use case diagram and web page list are created from business modes that is depicted using the notation of UML activity diagram. The page diagram and logical / physical database models are created using the use case diagram and the web page list. These analysis models are refined during the detailed design phase. The efficiency of proposed method has been shown using a practical case study which reflects the development project of the web application for supporting the association of auto repair shops.

• Journal of Environmental Impact Assessment
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• v.9 no.3
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• pp.203-214
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• 2000

Health risk assessment is applied to streamlining LCA(Life Cycle Assessment) using Monte carlo simulation for probabilistic/stochastic exposure and risk distribution analysis caused by data variability and uncertainty. A case study was carried out to find benefits of this application. BTC(Benzene, Trichloroethylene, Carbon tetrachloride mixture alias) personal exposure cases were assumed as production worker(in workplace), manager(in office) and business man(outdoor). These cases were different from occupational retention time and exposure concentration for BTC consumption pattern. The result of cancer risk in these 3 scenario cases were estimated as $1.72E-4{\pm}1.2E+0$(production worker; case A), $9.62E-5{\pm}1.44E-5$(manger; case B), $6.90E-5{\pm}1.16E+0$(business man; case C), respectively. Portions of over acceptable risk 1.00E-4(assumed standard) were 99.85%, 38.89% and 0.61%, respectively. Estimated BTC risk was log-normal pattern, but some of distributions did not have any formal patterns. Except first impact factor(BTC emission quantity), sensitivity analysis showed that main effective factor was retention time in their occupational exposure sites. This case study is a good example to cover that LCA with probabilistic risk analysis tool can supply various significant information such as statistical distribution including personal/environmental exposure level, daily time activity pattern and individual susceptibility. Further research is needed for investigating real data of these input variables and personal exposure concentration and application of this study methodology.

• Journal of Oriental Neuropsychiatry
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• v.34 no.4
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• pp.463-471
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• 2023

Objectives: Medical personnel are professionals subject to stressful situations and psychological distress. This case series reports the results of a mindfulness meditation program combined with digital health for medical personnel at a Korean medicine (KM) hospital. Methods: An online mindfulness program was implemented in 2022 to improve the mental health of nursing staff in a KM clinic. The online mindfulness program, which was supplemented based on previous results and limitations, was applied to KM doctors and nurses working at a KM hospital in this case series. An important difference from the existing case series was the introduction of a smartphone application that promoted the daily routine of meditation. A total of 7 medical personnel, including 4 doctors and 3 nurses, participated in the program. Results: After participating in the program, an increase in deep acting and a decrease in surface acting, which are aspects of emotional labor, were consistent with the results of a previous case series. However, the patterns of change in burnout and hwa-byung symptoms differed depending on the occupation of the participants. Participants' satisfaction with this program and the smartphone application and willingness to recommend it to colleagues were high. Conclusions: As this study was only a small case series, the author plans to continue to expand and improve the program based on the findings.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.267-275
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• 2021

Smart application is developed in this paper by using an android-based platform to automatically determine the human emergency state (Lifesaver) by using different technology sensors of the mobile. In practice, this Lifesaver has many applications, and it can be easily combined with other applications as well to determine the emergency of humans. For example, if an old human falls due to some medical reasons, then this application is automatically determining the human state and then calls a person from this emergency contact list. Moreover, if the car accidentally crashes due to an accident, then the Lifesaver application is also helping to call a person who is on the emergency contact list to save human life. Therefore, the main objective of this project is to develop an application that can save human life. As a result, the proposed Lifesaver application is utilized to assist the person to get immediate attention in case of absence of help in four different situations. To develop the Lifesaver system, the GPS is also integrated to get the exact location of a human in case of emergency. Moreover, the emergency list of friends and authorities is also maintained to develop this application. To test and evaluate the Lifesaver system, the 50 different human data are collected with different age groups in the range of (40-70) and the performance of the Lifesaver application is also evaluated and compared with other state-of-the-art applications. On average, the Lifesaver system is achieved 95.5% detection accuracy and the value of 91.5 based on emergency index metric, which is outperformed compared to other applications in this domain.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.889-893
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• 1995

This paper verified error of STL file and presented a new application of reformed division method for reducing to appeared error by using Delaunay triangulation method that used to modify error of verified data. First, it is analyzed each vertices in hole error and classified follow case that is 1. case of plan or slope, 2. case of edge, 3. case of apex and 4. case of rapid curve, and reduced volume tolerance between original model and converted model after convert STL file.