• The Journal of the Korea institute of electronic communication sciences
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• v.2 no.1
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• pp.62-66
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• 2007

This study provide Car driver with car sensor information which is car trouble code in engine and many sensors. This provide car manager with many information of car sensors when we go to vehicle maintenance. This system consist of embedded linux system which uses RS232 and EML327 for CAN communication of car system. Finally this is a lot of application for embedded linux system which get sensor informations of car control sensor system.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10a
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• pp.567-570
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• 2001

현재의 출입국 관리자는 여권을 제시하면 여권을 육안으로 검색하고 수작업으로 정보를 입력하여 여권 데이터베이스와 대비하는 것이다. 본 논문에서는 이러한 문제점을 해결하기 위하여 자동으로 여권을 인식할 수 있는 방법을 제안한다. 여권에는 사용자에 대한 많은 정보들이 있는데 여권 영상에서 코드 정보 영역을 히스토그램 방식과 소벨 연산자를 이용하여 코드 영역 및 개별 코드 문자를 추출하고 새로운 자가 생성 지도학습 알고리즘(Self-Generating Supervised Learning Algorithm)을 제안하여 여권 인식에 적응하였다. 10개의 여권 영상을 실험한 결과 모든 코드의 문자 영역이 추출되었고 인식되었다.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.5
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• pp.852-860
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• 2010

An environment in which the software is operated become more complex and changed dynamically. Such software requires the ability to adapt in accordance with operating environments, by monitoring the changes of user requirements and operating environments. Especially, the mobile device used in military operation requires more dynamical adaptation than the mobile device in normal environment. In this paper, we propose MOSAIC architecture based on Self-Adaptive Software suitable for military mobile device and verify the results. The proposed architecture consists of context manager, evaluation manager and adaptation manager. We simulate the MOSAIC architecture by modelling PRE(Position Reporting Equipment) used in the army and verify four types of operational mode and dynamical reconfiguration of user interface.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.614-625
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• 2018

This study was conducted to investigate the level of resilience and the factors affecting resilience in nursing students, and to provide basic data to develop a program that improves resilience of nursing students. Data were collected from 155 nursing students in D city from April 15 to May 30, 2018 using the Resilience Scale, College Life Stress Scale, Self-Efficacy Scale (SES), Multi-Dimensional Scale of Perceived Social Support (MSPSS), Positive Affect Scale, and Stress Coping Strategy Scale. Data were analyzed using t-tests, ANOVA, Pearson's correlation coefficient, and multiple regression. The mean score for resilience in nursing students was 3.54 points. There was a significant difference in resilience according to academic score and satisfaction with major. Resilience was significantly correlated with self-efficacy, social support, and active stress coping strategy. Factors that impacted resilience in multiple regression were self-efficacy (${\beta}=0.39$, p<0.001), active stress coping strategy (${\beta}=0.26$, p<0.001), and social support (${\beta}=0.16$, p<0.001). These factors explained 51.0% of the variance in the resilience of nursing students. Therefore, it will be necessary to develop a program that can enhance resilience by strengthening protective factors such as self-efficacy, active stress coping strategies, and social support.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.355-365
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• 2016

This study was conducted to evaluate the relationships between emotional intelligence and college adjustment and nursing professionalism in nursing college students. The study participants were 172 nursing students of a university in Chungnam province. Data were collected by a self-administered questionnaire from December 1 to 20, 2015. Collected data were analyzed using the IBM SPSS 20.0 program with descriptive statistics, Pearson's correlation coefficient, t-test, one-way ANOVA and Scheffe test. The level of the emotional intelligence, college adjustment, and nursing professionalism were not high, and the emotional intelligence of nursing students had positive correlation with college adjustment(r=.448, p<.001)and nursing professionalism(r=.376, p<.001). These results suggest that nursing interventions to improve the emotional intelligence of nursing students should be developed and applied for improvement of college adjustment and nursing professionalism.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.796-807
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• 2014

This study examined effects of gender role conflicts, academic stress coping ability, and social support on adaptations to college life among male nursing students. Data were collected through self reported structured questionnaire form 225 male nursing students using convenient sampling methods from April 1 to June 4, 2014. Stepwise regression showed that academic stress coping ability had the greatest effect on adaptations to college life(${\beta}=0.33$, p<.001), followed by major satisfaction, social support, gender role conflicts and club activity. These variables together explained 33% of the adaptations to college life in male nursing students(F=23.50, p<.001). Therefore, programs for resolving gender role conflicts and reinforcing academic stress coping ability should be developed. And social support network which consist of professors and the senior-junior nursing students will help to improve adaptability to college life in male nursing students.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.280-291
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• 2015

This study was done to identify the influence of ego-resilience, emotional intelligence and stress coping strategies on college adjustment in nursing students. The subjects consisted of 158 freshmen & sophomores attending three nursing colleges. The data were collected from October 27 to November 7, 2014, using self-report questionnaires. The data were analyzed using t-test, ANOVA, Pearson correlation and multiple regression with SPSS/WIN 21.0 program. A positive correlation was found for college adjustment with ego-resilience, emotional intelligence, stress coping strategies. In addition emotional intelligence, ego-resilience, school record, satisfaction with nursing major, personal relations, gender accounted for 53.9% of variance in college adjustment. The strongest predictor of college adjustment was emotional intelligence. The findings suggest that development of emotional intelligence and ego-resilience in nursing students is important to college adjustment. It is necessary to develop systematic management of the program to integrate the educational curriculum and extra-curricular activities.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.271-280
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• 2019

The purpose of this study was to examine how resilience, social support, perception of death and quality of death affect the bereavement adaptation. Data collection was collected from 2 April to 30 May 2018 by distributing self-reporting questionnaires to 236 people using the eyeball presentation method to those who experienced family history in B city and K area Data were analyzed with descriptive statistics and, t-test, ANOVA, and Pearson's correlations that used SPSS WIN 22.0 program and the analysis of control effect was made by using Hierarchical Multiple Regression Analysis. The result of degree of adaptation of the subject was 3.5, family resilience was 3.8 and 3.9 in the lower part. Social support was not significant. But family resilience, belief system, death perception and quality of death influenced bereavement. Based on the results of this study, it is necessary to bulid a social support network for bereavement families, to prepare for death, and to develop and program a systematic program for well-being to become a beautiful and dignified death.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.9A
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• pp.1525-1534
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• 2001

국내 통신사업자들이 xDSL 등 초고속 인터넷 액세스 서비스를 왜곡된 요금구조로 경쟁적으로 보급함에 따라 급속히 확산되고 있으나, 엄밀히 원가를 감안한다면 여전히 AO/DI는 인터넷 트래픽 폭증으로 인한 전기통신망의 과부하를 통신사업자가 경제적이며 효과적으로 대처할 수 있는 현실적인 대안이라 할 수 있다. 본 논문은 AO/DI의 동적 채널 할당 및 해지에 있어서 VIA가 권고한 정책보다 효율적으로 대역폭을 할당, 해지할 수 있는 알고리즘을 제안한다. 관찰 시점까지의 누적된 트래픽의 양과 변화를 감안하여 평균 트래픽과 분산을 추정함으로써 트래픽의 변화에 적응하여 채널 할당, 해지 시점을 결정할 수 있으며 트래픽 특성에 따라 매개 변수의 조정을 통하여 D 채널, B 채널의 이용률을 제어할 수 있고 평균 대기시간 등의 성능을 최적화할 수 있음을 보인다. 또한, 이를 기초로 응용 프로토콜을 감지하여 응용이 갖는 고유의 트래픽 특성과 요구사항에 적합한 채널 할당/해지 방안도 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.244-247
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• 2015

본 논문에서는 모바일 환경의 상황 적응형 효율적인 광고운영 시스템 설계에 대하여 제안한다. 제안한 시스템은 광고공급자가 제작한 광고콘텐츠를 저장하고, 광고공급자와 광고소비자의 상황정보와 피드백 정보를 분석하여 맞춤형 광고 콘텐츠를 추천하여 제공한다. 본 논문에서 제안한 시스템은 광고콘텐츠와 광고 소비자의 선호도 및 성향에 따른 스마트한 광고 콘텐츠를 추천 및 제공하기 때문에, 스마트 미디어 시대를 맞이한 광고시장에 새로운 서비스 모델을 개발하는데 기여할 것으로 기대한다.