• 기본간호학회지
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• 제5권1호
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• pp.19-31
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• 1998

Nursing science is focusing increasingly on family health care. Especially during the launching stage of family the grown-up sons daughters, and middlescent parents daughters have experienced a lot of change. The purpose of this study is to investigate the family health during the launching stage of the family by utilizing the family health assessment tool based on Roy's adaptation model. The Roy adaptation model was used as it is the best practice-based framework for Family Health Nursing Care. The data was collected using a structured questionnaire. The structure of the questionnaire was developed from the Family Health Assessment Tool by S.O. Jang(1996). The sample of 276 subjects was a convenient sample and data was obtained from November 14, 1996 to December 4, 1996. In order to analyze the collected data, this study utilized frequency, percentile, average, ANOVA, Cronbach's, and factor analysis. The results from this research are summarized as follows : 1. The degree of family health is average $95.24{\pm}9.40$ ranged in middle. 2. The significant difference between general characteristics and family health was only revealed with the major decision making person in the family. This research thus suggests the following : 1. The legal system is needed in order to check the family members' health state regularly. 2. With family nursing care, it has to identify who is the major decision maker in that family. 3. There is a need to redefine the family health assessment tool. 4. Further research will attempt to investigate family health in each family's developmental stage.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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• pp.1475-1478
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• 2003

When multimedia contents are adapted to different terminals in the ubiquitous computing environment, the contents' modalities can be converted variously. In this paper, we present an efficient user preference that enable user to specify his choices on the modalities of the adapted contents. We also propose the methods to systematically integrate the user preference into the content adaptation process. This modality conversion preference has been developed as a description tool for MPEG-21 Digital Item Adaptation (DIA).

• Journal of Plant Biotechnology
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• 제32권1호
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• pp.1-14
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• 2005

Plant responses to salinity stress is critical in determining the growth and development. Therefore, adaptability of plant to salinity stress is directly related with agriculture productivity. Salt adaptation is a result of the integrated functioning of numerous determinants that are regulated coordinately through an appropriate responsive signal transduction cascade. The cascade perceives the saline environment and exerts control over the essential mechanisms that are responsible for ion homeostasis and osmotic adjustment. Although little is known about the component elements of salt stress perception and the signaling cascade(s) in plant, the use of Arabidopsis plant as a molecular genetic tool has been provided important molecular nature of salt tolerance effectors and regulatory pathways. In this review, I summarize recent advances in understanding the molecular mechanisms of salt adaptation.

• 초등상담연구
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• 제7권1호
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• pp.165-181
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• 2008

In this study, a preliminary study has been made to check the availability of examination after selecting one among the criteria to adaptation of school life, in recognition of the necessity for a tool in order to collect multi =dimensional information about children. An examination has been done with the survey target of 291 pupils in the fifth and sixth grade in an elementary school located in Incheon. And the focus group with the teachers in charge of each class was undertaken to check the availability of the examination. As the result of the examination, 37 was the average score of children diagnosed as the category of temporary maladaptation in terms of the score of 4 sub-scales of school adaptation and their total scores, and 28 was the score which corresponds to the assessment of teachers. The results of examinations and the evaluations of teachers were proved to be highly correlated. Lastly discussion is focused on the meaning of these findings and the suggestions for the further studies.

• 한국응급구조학회지
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• 제14권3호
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• pp.29-40
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• 2010

Purpose: We investigated the motivation of selecting major, the satisfaction of major and the view on occupation of emergency medical technology (EMT) students. The results of study will be used to increase the satisfaction of major of university students. Also, it can be used to support decision of major for high school students. Method: We conducted 1,586 surveys from 665 students at six four-year colleges and 921 students at seven three-year colleges. Our research period was from Aug. 27th to Oct. 31st in 2010. The surveys were analyzed by SPSS 18.0 using description statistics, t-test, ANOVA, Scheffe and Pearson correlation coefficient. Result: In our study, the motivation of selecting major is 35.8% of students selected 'good employment prospects', satisfaction of major's $M{\pm}SD$ is $3.15{\pm}.486$, adaptation of major's $M{\pm}SD$ is $3.11{\pm}.472$. The satisfaction of major show difference (t = 4.548 p = .000) by sex, also the adaptation of major show difference (t = 2.279, p = .023) by sex. The satisfaction of major show first grade students higher (F = 3.605, p = .013) than fourth grade students at four-year colleges. If satisfaction of major is high, accumulation evaluation score is high (F = 3.276, p = .011), too. Clinical practice experienced students was higher (t = -2.878, p = .004) than non experienced it satisfaction. In view of occupation, ideal job's factors and actual job's factors a lot of students selected 'aptitude'. Also, there is a statistically significant correlation (r = .618, p = .000) between the satisfaction of major and the adaptation of major. High satisfaction indicates high adaptation of major. Conclusion: In our study satisfaction of major and adaptation of major was very high score. EMT students concern about employment prospects at most. It is inferred that they select job which match with one's aptitude. We can suppose that students select major as a tool for employment by seeing result that a lot of students consider employment prospects at most when they select major. A method to improve the satisfaction and adaptation of major should be developed by realizing problems which occur the dissatisfaction of major. Also, there as on why students conflict between ideal and actual job should be revealed. There as on seems students want stable occupation in unstable job market situation. Therefore, the expansion of job matching aptitude and being stable should be processed. Finally, university should actively support the method that help to finding jobs for student by identifying job preparation of students.

• 한국콘텐츠학회논문지
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• 제15권9호
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• pp.295-306
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• 2015

본 연구는 직장인의 역경지수가 조직적응에 영향을 미치는지를 파악하기 위해 시도되었다. 조직적응은 기업측면에서 개인의 성공을 예측할 수 있는 결정인자로써 다차원적인 조직적응을 설명할 수 있는 중범위 이론으로 역경지수의 영향을 알아보고자 하였다. 연구대상자는 중소 이상의 기업에 근무하는 서울경기 지역 직장인을 대상으로 연구목적에 대해 서면 동의한 총 202명이다. 자료수집은 2013년 8월~10월까지 구조화된 자가 보고식 설문지를 활용하였다. 역경지수의 도구는 Adversity Quotient Profile(AQP)를 이용하였고, 수집된 자료는 상관관계와 회귀분석을 이용하여 분석하였다. 연구결과, 역경지수는 감성지능 및 복원력과 유의한 상관관계를 가지는 것으로 나타났고, 회귀분석에서는 역경지수, 감성지능, 복원력이 조직적응을 19.9% 설명하는 것으로 나타났으며 회귀계수에서는 역경지수만이 유의성을 보였다. 본 연구결과를 토대로 직장인의 조직적응을 높일 수 있는 방안으로 역경지수가 중요 변수임이 확인되었다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 추계학술대회논문집 - 한국공작기계학회
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• pp.8-13
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• 2000

In this paper, a new adaptive cross-coupling control (CCC) method with an improved contour error model is proposed to maintain contouring precision in high-speed nonlinear contour machining. The proposed method utilizes variable controller gains based on the instantaneous curvature of a contour and the feedrate command. In addition, a real-time federate adaptation scheme is included in the proposed CCC to regulate cutting force. The proposed method is evaluated and compared with the conventional CCC for nonlinear contouring motion through computer simulations. The simulation results show that the proposed CCC improves the contouring accuracy and regulates cutting force more effectively than the existing method.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1996년도 춘계학술대회 논문집
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• pp.119-123
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• 1996

The demands for robotic and automatic system are continually increasing in manufacturing fields. There were so many studies to monitor and predict system, but it were mainly relied upon measuring of cutting force, current of motor spindle and using acoustic sensor, etc. In this study digital image of time series sequence was acquired taking advantage of optical technique. Then, mean square error was obtained from it and was available for useful observation data. The parameter was estimated using PAA(parameter adaptation algorithm) from observation data. AR model was selected for system model, fifth order was decided according to parameter estimation. Uncorrelation test was also carried out to verify convergence of parameter. Through the proceedings, we found there was a system stability.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.200-200
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• 2016

Climate changes have impacted to many sectors including water resources in Vietnam. Vietnam is agricultural development country having a lot of reservoirs. These reservoirs play a very important role in flow regulation for water supply to economic sectors. In the context of undesirable impacts of climate change such as increasing temparature, evaporation, changing rainfall and rainfall pattern, water demands and inflow to reservoirs also are being influenced. This leads to changes of resevoir exploitation effects that needs to be assessed for adaptation solutions. This arcticle summaries the development of a tool for quick assessement of climate change impacts on exploitation effect of reservoir in central provinces of Vietnam.

• Geomechanics and Engineering
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• 제37권3호
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• pp.263-277
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• 2024

Artificial Neural Networks (ANNs) are artificial learning algorithms that provide successful results in solving many machine learning problems such as classification, prediction, object detection, object segmentation, image and video classification. There is an increasing number of studies that use ANNs as a prediction tool in soil classification. The aim of this research was to understand the role of hyperparameter optimization in enhancing the accuracy of ANNs for soil type classification. The research results has shown that the hyperparameter optimization and hyperparamter optimized ANNs can be utilized as an efficient mechanism for increasing the estimation accuracy for this problem. It is observed that the developed hyperparameter tool (HyperNetExplorer) that is utilizing the Covariance Matrix Adaptation Evolution Strategy (CMAES), Genetic Algorithm (GA) and Jaya Algorithm (JA) optimization techniques can be successfully used for the discovery of hyperparameter optimized ANNs, which can accomplish soil classification with 100% accuracy.