• 농촌지도와개발
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• 제29권4호
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• pp.251-264
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• 2022

This study aimed to identify the factors that influence young entrepreneurs' desire to start a smart farm business. Young entrepreneurs' entrepreneurial self-efficacy, entrepreneurial intention, entrepreneurship, and Entrepreneurial opportunity recognition were modeled structurally, and the mediating effect of entrepreneurship and entrepreneurial opportunity recognition was investigated. Data were conducted from 159 usable questionnaires. The following are the findings of this study. Entrepreneurial self-efficacy did not have a significant effect on entrepreneurial intention, but entrepreneurship and entrepreneurial opportunity recognition were found to have a mediating effect on entrepreneurial intention. Therefore, the preparation of training programs to encourage entrepreneurship or the dissemination of pertinent information to identify opportunities should take precedence over immediate startup.

• 한국학교ㆍ지역보건교육학회지
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• 제13권3호
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• pp.113-125
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• 2012

Objectives: This study was aimed to inspect what relation there exists between the elderly's social support, self-esteem and the suicidal thinking, and examined factors influencing their suicidal ideation. Methods: For 207 old persons above 65 residing at Seoul, questionnaire survey was performed for 4 weeks. For response data, t-test and ANOVA, Pearson's Correlation Coefficient and Multiple Regression Analysis were performed using spss 18.0 program. Results: The results of analysis are like followings. 1. As for the social support according to the general characteristics, there was statistically significant difference in sex distinction, religion, living arrangement, educational level, monthly allowance and mode to use spare time. As for self-esteem according to the general characteristics, there was statistically significant difference in sex distinction, religion, living arrangement and monthly allowance. And as for the suicidal ideation, there was statistically significant difference in the marital status. 2. As for the relation between the social support, self-esteem and the suicidal ideation, it showed statistically very significant positive correlation in the social support and self-esteem. And there existed relatively higher positive correlation in family support among sub-factors of the social support and the positive self-recognition among sub-factors of self-esteem. 3. It showed that positive and negative self-recognition as sub-factors of self-esteem, others' support as sub-factor of the social support influence on the suicidal ideation. In other words, as positive self-recognition was lower, as negative self-recognition was higher, as social support of others was lower, they had much more effect on the suicidal ideation of the elderly. And it showed about 36.1% of the explanatory capability. Conclusions: Health care providers should develop school health education for the elderly.

• 센서학회지
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• 제10권6호
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• pp.286-294
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• 2001

본 연구에서는 자체 제작한 3-3형 복합압전체 초음파 트랜스듀서와 SOFM(Self Organizing Feature Map) 신경회로망을 이용한 수중 3차원 물체인식특성에 대해 연구하였다. 자체 제작한 3-3형 복합압전체 소자는 수중 초음파 트랜스듀서 재료로서의 요구조건을 비교적 잘 만족하였다. 자체 제작한 3-3형 복합압전체 트랜스듀서와 SOFM 신경회로망을 이용하여 얻어진 4종의 인식물체(정사각기둥, 직사각기둥, 원통, 정삼각기둥)에 대한 전체적인 수중 물체인식률은 학습데이터인 경우에는 100%, 시험데이터는 94.0%를 나타내었다. 이들 결과로부터 자체 제작한 3-3형 복합압전체 초음파 트랜스듀서는 수중 물체인식용 트랜스듀서로서 응용될 수 있음을 알 수 있었다.

• 한국응급구조학회지
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• 제16권1호
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• pp.7-18
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• 2012

Purpose: The purpose of this study is to help care workers to do their best as first respondents by analysing their recognition, knowledge, and self-efficacy on basic CPR (cardiopulmonary resuscitation) that is directly connected to the lives of patients and thus their education and methods can be improved for their positive basic lifesaving work. Method: For this purpose 360 structured questionnaires were used to the subjects in the eastern area of Jeonnam province from June 20 to July 4, 2011. Of these questionnaires 217 were used excluding 113 incomplete, 27 error, and 3 male ones. The collected data were analysed by the real number, the percentage, the average, the standard deviation, t-test, ANOVA, and Tukey with SPSS WIN 18.0. Results: 1. In the view of subjects, those aged over 51 accounted for 96(44.2%) as the majority, high school graduates, 95(43.8%), worked for 1 or more than 1 year-less than 2 years, 66(30.4%), experienced to see persons collapsed losing their consciousness, 46(21.2%), took the education, 184(85.7%), had 1 session of education, 80(43%), got the last education for 2 or more than 2 years 68(37%), and practiced through mannequin for the education aids, 86(46.7%). 2. There was significant difference in the view of recognition with the length of work (p=.010) and experienced to see persons collapsed losing their consciousness (p=.020), in the view of knowledge with academic background (p=.040) and the length of work, and in the view of self-efficacy with academic background (p=.002), the length of work (p=.010) and experienced to see persons collapsed losing their consciousness (p=.000). 3. There was significant difference in the session of education (p=.000), last education (p=.025) and education aids for basic CPR. Self-efficacy had significant difference according to the session of education for basic CPR (p=.001) and the time of education (p=.000). 4. There was correlation between recognition and self-efficacy (r=.41). The higher the recognition is, the better the self-efficacy improves. However the correlation between knowledge and self-efficacy was so low that the former did not have influence on self-efficacy. Conclusions: It needs to offer education to the lifesaving workers based on their experiences. If there is education more than 2 sessions in a year with mannequin and the simulation providing sufficient hours, care workers' recognition would be increased resulting in higher self-efficacy and thus they could keep the role of active lifesaving worker at the first practical site.

• 지구물리
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• 제9권2호
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• pp.99-103
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• 2006

3D object recognition independent of translation and rotation using an ultrasonic sensor array, invariant moment vectors and SOFM(Self Organizing Feature Map) neural networks is presented. Using invariant moment vectors of the acquired 16×8 pixel data of square, rectangular, cylindric and regular triangular blocks, 3D objects could be classified by SOFM neural networks. Invariant moment vectors are constant independent of translation and rotation. The recognition rates for the training and testing data were 95.91% and 92.13%, respectively.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.185-188
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• 2001

According as many people use a computer newly, damage of computer virus and hacking is rapidly increasing by the crucial users. To block hacking that is intrusion of a person's computer and the computer virus that destroys data, a study for intrusion-detection of system and virus detection using a biological immune system is in progress. In this paper, we make a model of positive selection and negative selection of self-recognition process that is ability of T-cytotoxic cell that plays an important part in biological immune system. So we embody a self-nonself distinction algorithm in computer. To prove the efficacy of self-recognition algorithm, we use simulations by a cell change and a string change of self file.

• 보건의료산업학회지
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• 제5권2호
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• pp.91-104
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• 2011

This study is focusing on the fact that Medical bodies are a labor-intensive organization in the technological field which needs technical knowledge and concerted efforts and then explaining the job value and the workplace value on the basis of trust in terms of a sense of organizational unity. The study reveals that, the higher recognition of their seniors the medical workers have, the higher level of self-esteem for job value they have. In terms of personal characteristics, educational experience has a meaningful influence on self-esteem for job value; in terms of job characteristics, the period of one`s service and monthly salary have a meaningful influence on it. And, it is found, the higher the pride on workplace, respect and trust in seniors, loyalty to seniors and self-esteem for job value are, the more proud they feel of workplace.

• 기본간호학회지
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• 제9권3호
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• pp.349-359
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• 2002

Purpose: The purpose of this study was two-fold : to describe the level of recognition of nosocomial respiratory infections by ICU nurses and to compare self evaluation and objective evaluation of nosocomial respiratory infection control practices by ICU nurses. Method: Data were collected from 78 nurses in intensive care units in one university affiliated hospital in Kyung Ki Province. Data were collected from March 4 to March 18, 2002. The recognition and self evaluation data were collected through a self report questionnaire and an objective evaluation which was done by observing the actual behavior of the nurses. Result: The results of this study showed that there was a significant positive relationship between recognition scores and self evaluation scores. However, there was no significant relationship between level of recognition and objective evaluation, nor between self evaluation and objective evaluation of infection control Practices by ICU nurses. Conclusion: ICU nurses In this study gave higher scores on self evaluation of their practice than were shown in the observation evaluation of actual practice. Moreover, in the objective evaluation the nurses had the lowest score on the item, 'washing hands before taking care of patients'. The results indicate that it is necessary to develop a standardized practice manual on nosocomial respiratory infection control in the ICU. Also, it is necessary to have a program to transfer knowledge into actual practice.

• 한국컴퓨터정보학회논문지
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• 제27권9호
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• pp.41-47
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• 2022

본 논문에서는 자동표정인식을 위하여 얼굴 이미지 배열의 가운데 이미지를 예측하는 새롭고 간단한 자기주도학습 방법을 제안한다. 자동표정인식은 딥러닝 모델을 통해 높은 성능을 달성할 수 있으나 일반적으로 큰 비용과 시간이 투자된 대용량의 데이터 세트가 필요하고, 데이터 세트의 크기와 알고리즘의 성능이 비례한다. 제안하는 방법은 추가적인 데이터 세트 구축 없이 기존의 데이터 세트를 활용하여 자기주도학습을 통해 얼굴의 잠재적인 심층표현방법을 학습하고 학습된 파라미터를 전이시켜 자동표정인식의 성능을 향상한다. 제안한 방법은 CK+와 AFEW 8.0 두가지 데이터 세트에 대하여 높은 성능 향상을 보여주었고, 간단한 방법으로 큰 효과를 얻을 수 있음을 보여주었다.

• 한국지능시스템학회논문지
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• 제11권9호
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• pp.801-806
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• 2001

최근 컴퓨터의 사용이 보편화되면서 악의적 사용자에 의해 발생하는 컴퓨터 바이러스와 해킹에 의한 피해가 급속히 증가하고 있다. 남의 컴퓨터에 침입하는 해킹이나 데이터를 파괴하는 컴퓨터 바이러스에 의한 피해를 막기 위해 최근에 생명체의 면역시스템의 특징을 이용해 인공면역계를 구성해 시스템 침입탐지와 바이러스 탐지 및 치료에 대한 연구가 활발히 진행 중에 있다. 생체 면역계는 외부에서 침입해 세포나 장기에 피해를 주는 물질인 항원을 스스로 자기세포와 구분해 인식, 제거하는 기능이 있다. 이러한 면역계의 특징인 항원을 인식하는 기능은 자기세포의 확실한 인식을 가지고 있는 상태에서 다른 물질을 구분하는 자기/비자기(self/non-self) 인식방법으로 볼 수 있다. 본 논문에서는 생체 면역계에서 세포독성 T세포의 생성과정의 하나인 Positive Selection을 모델링하여 침입에 의한 데이터 변경과 바이러스에 의한 데이터 감염 등을 탐지할 때 가장 중요한 요소인 자기-인식 알고리즘을 구현하였다. 제안한 알고리즘은 큰 파일에서의 Detection을 구성하기 용이한 점을 가지며 극소변경과 블록변경에 대한 자기인식률을 통해 알고리즘을 유효성을 검증한다.