• 한국농촌간호학회지
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• 제17권2호
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• pp.43-49
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• 2022

Purpose: This study was conducted to explore the telemedicine cooperation experience of nurses working in remote areas. Methods: A focus group interviews were used to collect data. All interviews were recorded and transcribed. Content analysis was used to analyze the data. Results: The three main categories and seven sub-categories of telemedicine cooperation experience that emerged are 1) requirement of education on remote support service, 2) consideration of the recipients of medical support services and the characteristics of the area, and 3) difficulties in conducting telemedicine cooperation. Conclusion: As a result of the study, legal protection should be given priority, and it is necessary to select an area where remote cooperation is essential, to discover subjects, and to reduce the burden of work and division of manpower and duties.

• Journal of the Korean Data and Information Science Society
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• 제27권2호
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• pp.549-557
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• 2016

In this paper we propose multiclassification method for large data sets by ensembling least squares support vector machines (LS-SVM) with principal components instead of raw input vector. We use the revised one-vs-all method for multiclassification, which is one of voting scheme based on combining several binary classifications. The revised one-vs-all method is performed by using the hat matrix of LS-SVM ensemble, which is obtained by ensembling LS-SVMs trained using each random sample from the whole large training data. The leave-one-out cross validation (CV) function is used for the optimal values of hyper-parameters which affect the performance of multiclass LS-SVM ensemble. We present the generalized cross validation function to reduce computational burden of leave-one-out CV functions. Experimental results from real data sets are then obtained to illustrate the performance of the proposed multiclass LS-SVM ensemble.

• 통상정보연구
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• 제12권4호
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• pp.509-535
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• 2010

This paper examines the Spaghetti bowl effect that different tariffs and rules of origin in multiple FTAs have resulted in increasing the significantly additional burden for business when it comes to apply for the use of FTA preference. The wide spread of FTAs in the several years, from 2003 to 2010, has been the most important trade policy development in economically important Korea. Korea presently has 5 FTAs in effect, and made 3 additional agreements which will be expected to take effect in next year. With the study result and expecting a growing number of FTAs in Korea in a next decade, the international trading firms will face rise of transaction costs for enterprises, particularly small- and medium-sized enterprises(SMEs) to cope with multiple tariffs and rule of origins in FTAs. To help mitigate negative effects and facilitate a more SEMs to use the FTA preference, providing new computer programs system, increasing the awareness of FTA provisions, improving business participation in FTA consultations, and SME support in light of education, and financial support are needed.

• 가정과삶의질연구
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• 제22권1호
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• pp.129-138
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• 2004

The purpose of this study is to explore a life-supportive housing alternative for single-parent family, focused on cohousing. Single-parent family is considerably increasing according to diverse social changes. In foreign countries, for instance, Scandinavian countries where dual-income households and single-parent families occupy comparatively higher proportion of the whole households, cohousing has been implemented as one of the life-supportive housing alternatives. Cohousing community has been developed aiming to reduce burden of housework, child-care and loneliness through mutual support amongst inhabitants. Opinions of single-parent families are described in this study in order to explore any possibility of development of cohousing for single-parent families for their well-being in Korea. The study was fulfilled by intensive interviews with 4 heads of single-parent families as well as inhabitants of collective housing and cohousing in Korea and foreign countries.

• 한국CDE학회논문집
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• 제17권2호
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• pp.79-90
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• 2012

In digital virtual manufacturing simulation, Digital Human widely used to optimal workplace design, enhancing worker safety in the workplace, and improving product quality. However, the case of ergonomics simulation solutions to support digital human modeling, Optimal DHM (Digital Human Model) data needed to develop and perform DHM will collect information related to the production process. So simulation developer has burden of collecting information. In this study, to overcome the limitations of existing solutions, we proposed the ADAGIO(Automated Digital humAn model development for General assembly usIng Ontology) framework. The ADAGIO framework was developed for DHM ontology to support optimal deployment of digital virtual environment and in order to ensure consistency of simulation components that are required for simulation modeling was made of a library.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.417-419
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• 2004

Because of the demands for high performance and high integrated system, the needs for optimal platform becomes more importance. Optimal platform can handle more data effectively with same resources. AMBA(Advanced Microprocessor Bus Architecture)$^{TM}$ defines on-chip communication standard for designing high performance embedded micro-controllers. It is consisted of AHB, ASB and APB. It can support fast implementation and reliability in system that is composed with reusable IPs. DMAC is one of master in system and generate master signals of AHB to communicate data from one slave(peripheral or memory) to another slave. It can reduce burden of CPU and increase system performance. We designed DMAC based on AMBA and it supports 13 Channels. Each channel can be controlled by software program. It decides channel's priority using round-robin method. It can support P2P, P2M, M2P and P2P communication.

• Journal of the Korean Data and Information Science Society
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• 제26권6호
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• pp.1557-1563
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• 2015

Multiclass classification is typically performed using the voting scheme method based on combining binary classifications. In this paper we propose multiclass classification method for large data, which can be regarded as the revised one-vs-all method. The multiclass classification is performed by using the hat matrix of least squares support vector machine (LS-SVM) ensemble, which is obtained by aggregating individual LS-SVM trained on each subset of whole large data. The cross validation function is defined to select the optimal values of hyperparameters which affect the performance of multiclass LS-SVM proposed. We obtain the generalized cross validation function to reduce computational burden of cross validation function. Experimental results are then presented which indicate the performance of the proposed method.

• 한국CDE학회논문집
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• 제20권2호
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• pp.114-123
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• 2015

The BIM libraries and technical contents in order to develop common technical standards that reflect the contents for a BIM design support should be based. It is essential to redress the technological burden on design office requirements. The technical contents consisted of Material Information, Standard Details and Cost Information are made by system of standard classification. By connecting BIM libraries with each of information including the contents, it derives the consistent BIM data application through the integrated model. In addition, we look forward to introducing and applying BIM more easily through securing common technical contents which remove the pressure of engineering developments of each individual architectural design office and prevent overlapping investments.

• 대한조현병학회지
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• 제24권2호
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• pp.45-51
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• 2021

The coronavirus disease 2019 (COVID-19) pandemic has drastically impacted our society and health care system. People with schizophrenia are more vulnerable to this burden of illness and related societal changes. In addition, they are more susceptible to the transmission of COVID-19 and have a significantly higher mortality rate compared to the general population. In a recent study, vaccinated patients with schizophrenia showed a greatly decreased mortality level similar to that of the general population. However, patients with schizophrenia were less likely to be vaccinated. Mental health professionals should provide them with appropriate information on prevention strategies against COVID-19 and vaccination. Long-lasting social distancing and social disconnection can make people with schizophrenia more vulnerable to loneliness and depression. Furthermore, patients with schizophrenia may face challenges continuing psychiatric treatment due to the COVID-19 pandemic. Social support and suitable mental health services using novel technologies should be developed and provided to patients with schizophrenia.

• 대한간호학회지
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• 제28권2호
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• pp.344-357
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• 1998

This study was designed to construct a model that predicts the quality of life of family caregivers with a chronically ill patient. The hypothetical model was developed based on the findings from past studies on quality of life and on the family with a chronically ill patient. Data were collected by self-reported questionnaires from 200 family caregivers in Seoul & Kyung Gi-Do, from May 1 to July 21, 1997. Data were analyzed using descriptive statistics and correlation analysis. The Linear Structural Relationship(LISREL) modeling process was used to find the best fit model which predicts causal relationships among variables. The results are as follows : 1. The overall fit of the hypothetical model to the data was moderate [X$^2$=31.54(df=23, p=.11), GFI=.96, AGFI=.91, RMR=.04]. 2. Paths of the model were modified by considering both its theoretical implication and the statistical significance of the parameter estimates. Compared to the hypothetical model, the revised model has become parsimonious and had a better fit to the data expect chi-square value(GFI=.95, AGFI=.91, RMR=.04). 3. Some of predictive factors, especially economic status, physical ability to perform daily-life activity, period after disease-onset, social support and fatigue revealed indirect effects on the quality of life of family caregivers with a chronically ill patient. 4. The factors, burden and role satisfaction revealed significant direct effects on the quality of life of family caregivers with a chronically ill patient. 5. All predictive variables of quality of life of family caregivers with a chronically ill patient, especially economic status, physical ability to perform daily-life activity, period after disease-onset, social support, fatigue, burden and role satisfaction explained 38.0% of the total variance in the model. In conclusion, the derived model in this study is considered appropriate in explaining and predicting quality of life of family caregivers with a chronically ill patient. Therefore it can effectively be used as a reference model for further studies and suggests direction in nursing practice.