• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.307-315
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• 2022

The review of known decision-making support systems and technologies regarding the possibility of donation and transplantation showed that currently there are no systems and technologies of decision-making support regarding the possibility of donation and transplantation considering civil law. The paper models the decision-making support process regarding the possibility of donation and transplantation, which is a theoretical basis for the development of rules, methods and technology of decision-making support regarding the possibility of donation and transplantation considering civil law. The paper also developed the technology of decision-making support regarding the possibility of donation and transplantation considering civil law as a component of the Unified State Information System for Organ and Tissue Transplantation, which automatically and free of charge determines the possibility/impossibility of donation and transplantation. In the case of the possibility of donation, the admissible type of donation is also determined - over-life or after-life donation - and data about potential donor is entered in the relevant Donor Register. In the case of the possibility of transplantation, if the recipient needs a transplant of one of the paired organs or a part of the organ/tissue, then data about potential recipient are entered in the Transplantation List from both over-life and after-life donor, otherwise, if the recipient needs a transplant of a non-paired organ or both paired organs, then data about potential recipient are entered only in the Transplantation List from after-life donor.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.89-96
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• 2020

The purpose of this study was to investigate the characteristics of parents support (PS), friends support (FS), and professor support (PS) of university students, and to examine the correlation between gender, social support, and university life satisfaction (ULS). The survey was conducted using 564 college students in Gangwon-do using a questionnaire consisting of 27 social support and 5 ULS. As a result, PS, FS, and PS showed positive answers, but the PS showed relatively negative answers and ULS was not high. And regardless of gender, there was a statistically significant correlation between PS, FS, PS and ULS (p<0.00). In the correlation of gender, PS, FS, PS, and ULS, there was a statistically significant correlation between PS, FS, PS and ULS without gender (p <0.00). In order to improve the ULS, it is necessary to promote interaction through systematic friends and professors as well as parents.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1495-1504
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• 2012

Objective: Improvements in diet can decrease the cancer rates. The aim of the present study was to determine the relationships between self-perception of diet quality and personality, impulsiveness, stress, coping strategy, sense of coherence, self-efficacy, and social support. Methods: This cross-sectional study was conducted using a multiple-stratified random sampling method based on the Korea Census of 2007. In October 2009, investigators conducted 15-minute face-to-face interviews with 1,530 South Korean volunteers who ranged from 30 to 69 years of age without a history of cancer. Results: Respondents were more likely to perceive that they consumed a healthy diet if they were older than 50 years, lived with a partner, had a monthly family income greater than $4,000 USD, had a low perceived risk of cancer, consumed less alcohol, exercised regularly, had a less agreeable or conscientious personality, had low stress levels, had a high sense of coherence or self-efficacy, and had ample social support. Conclusion: Psychosocial factors, such as personality, stress, sense of coherence, self-efficacy, and social support, are associated with the self-perception of diet quality. Analysis of the factors that contribute to a perceived healthy diet could assist with the design of educational campaigns.

• Korean Journal of Health Education and Promotion
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• v.32 no.1
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• pp.11-21
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• 2015

Objectives: This study aims to identify the psychosocial factors affecting on happiness among the general population in South Korea. Methods: This cross-sectional study was conducted using the multiple-stratified random sampling on the Korea Census of 2005. In October 2009, investigators conducted 15-minute face-to-face interviews with 1,500 South Korean volunteers ranging from 30 to 69 years old with no history of cancer. The questionnaire included socio-demographics, stress levels, coping strategies, social support, SOC, and happiness levels. Results: The multivariate analysis identified that married persons were more likely to be happy than those who were not married, respondents who had a higher score of stress and SOC were less likely to be happy, and those who had a higher score of social support from family were more likely to be happy. Conclusions: Interventions designed to increase happiness may need to include activities to control stress and promote social support from family.

• Korean Medical Education Review
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• v.16 no.2
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• pp.88-91
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• 2014

Medical students often need high levels of specialized institutional and personal support to recover from a burnout experience and to prevent student failure. This study aimed to present approaches to supporting medical students who had experienced burnout using case studies. The study subjects were 45 burnout cases who had been supported by the student support system and committee in one medical school. The factors associated with burnout include poor social network: the lack of belongingness, immature sense of identity, poor mental health, a lack of intrinsic motivation and aptitude, or a major personal crisis. We summarized some tips according to the factors associated with burnout. These tips should provide guidance to organizations and individual support providers to encourage the best quality support for medical students with burnout experiences.

• Proceedings of the KIEE Conference
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• 1999.11b
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• pp.181-183
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• 1999

As one of ancillary services, voltage support and reactive power service should be compensed properly for its contribution. In this paper, a cost-based reactive power planning is presented. which minimizes the total cost of reactive power support of generators and VAR compensation facility installation. Reactive power support of generator is evaluated by the opportunity costs of reduced energy sale considering the varying SMP(system marginal price) in power market, Gradient projection method is applied to solve this reactive power planning using IEEE14 bus system.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.354-357
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• 2011

Support Vector Machine (SVM)은 주어진 데이터 중에서 각 클래스를 잘 표현하는 Support Vector (SV)를 계산함으로써 새로운 데이터를 분류하는 알고리즘이다. SVM은 전체 데이터 분포를 고려하지 않기 때문에 잘못된 데이터에 의해 분류가 잘못될 가능성이 적다. 하지만, SV가 잘못되었을 경우에는 정확도가 감소하게 되는 문제점이 있다. 본 논문에서는 SV가 잘못 주어진 데이터일 가능성을 고려, 아웃라이어 검출 알고리즘인 Local Outlier Factor (LOF) 알고리즘을 이용해 주어진 데이터 중 잘못된 데이터를 제거함으로써 SVM의 분류 정확도를 높이는 알고리즘을 제안하였다. 추가적으로, Incremental LOF를 이용해 새로운 데이터 중 판단하기 어려운 데이터를 제거함으로써 SVM의 정확도를 보다 향상시켰다. 제안된 방법은 두 개의 클래스를 가진 데이터에 대해서 실험하였다.

• International Journal of CAD/CAM
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• v.11 no.1
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• pp.1-10
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• 2011

Product lifecycle management (PLM) is a new business strategy for enterprise's product R&D. A PLM system holds and maintaining the integrity of the product data produced throughout its entire lifecycle. There is, therefore, a need to build a safe and effective product data model to support PLM system. The paper proposes a domain-based product data model for PLM. The domain modeling method is introduced, including the domain concept and its defining standard along the product evolution process. The product data model in every domain is explained, and the mapping rules among these models are discussed. Mapped successively among these models, product data can be successfully realized the dynamic evolution and the historical traceability in PLM system.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.928-933
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• 2000

정보 사회에서 교육 패러다임의 급격한 변화는 학교, 교사, 학생의 역할 변화를 포함하고 있다. 수업의 방향이 교사주도에서 학습자 주도로 바뀌어감에 따라 학생들은 자기 주도적 학습을 수행하는 동안에 다양한 지원을 필요로 한다. EPSS(Electronic Performance Support System)는 기업체, 기관, 학교 등에서 업무 수행자가 원하는 순간에 지원을 의뢰할 수 있는 수행 지원 시스템으로, 본 논문에서는 이러한 EPSS를 프로토타입으로 설정하여, 학습 패러다임의 변화를 지원해 줄 수 있는 ELSS(Electronic Learning Support System)에 관한 모델 개발을 시도하고 학습 적용 가능성을 타진하였다. 먼저, EPSS에 관한 다양한 이론들을 고찰해 보았고 이를 토대로 ELSS의 개념, 설계시 고려사항, 구성요소 등으로 구성된 ELSS 모델을 제안하였다.

• East Asian mathematical journal
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• v.37 no.3
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• pp.333-354
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• 2021

A support vector machine (SVM) is a state-of-the-art machine learning model rooted in structural risk minimization. SVM is underestimated with regards to its application to real world problems because of the difficulties associated with its use. We aim at showing that the performance of SVM highly depends on which kernel function to use. To achieve these, after providing a summary of support vector machines and kernel function, we constructed experiments with various benchmark datasets to compare the performance of various kernel functions. For evaluating the performance of SVM, the F1-score and its Standard Deviation with 10-cross validation was used. Furthermore, we used taylor diagrams to reveal the difference between kernels. Finally, we provided Python codes for all our experiments to enable re-implementation of the experiments.