• Journal of Electrical Engineering and Technology
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• 제12권5호
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• pp.2031-2042
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• 2017

In this paper, a novel traffic flow control method based-on ramp metering and speed regulation using an adaptive sliding mode control (ASMC) method along with a deadzoned parameter adaptation law is proposed at a stochastic macroscopic level traffic environment, where the influence of the density and speed disturbances is accounted for in the traffic dynamic equations. The goal of this paper is to design a local traffic flow controller using both ramp metering and speed regulation based on ASMC, in order to achieve the desired density and speed for the maintenance of the maximum mainline throughput against disturbances in practice. The proposed method is advantageous in that it can improve the traffic flow performance compared to the traditional methods using only ramp metering, even in the presence of ramp storage limitation and disturbances. Moreover, a prior knowledge of disturbance magnitude is not required in the process of designing the controller unlike the conventional sliding mode controller. A stability analysis is presented to show that the traffic system under the proposed traffic flow control method is guaranteed to be uniformly bounded and its ultimate bound can be adjusted to be sufficiently small in terms of deadzone. The validity of the proposed method is demonstrated under different traffic situations (i.e., different initial traffic status), in the sense that the proposed control method is capable of stabilizing traffic flow better than the previously well-known Asservissement Lineaire d'Entree Autoroutiere (ALINEA) strategy and also feedback linearization control (FLC) method.

• 한국멀티미디어학회논문지
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• 제11권11호
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• pp.1480-1490
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• 2008

무손실 오디오 부호화기에 있어서 선형예측기 및 이에 적합한 엔트로피 부호화기의 설계가 가장 중요한 부분이다. 본 논문에서는 공분산 방법에 콜레스키 분해를 이용하여 선형예측기의 계수를 계산하였고, 그 결과를 다항 예측기와 비교하여 예측 에러가 최소화되는 선형예측기를 선택하도록 하였다. 엔트로피 부호화기는 골롬-라이스 부호를 사용하였고, 골롬-라이스 부호화기의 매개변수를 계산하기 위해 블록기반 매개변수 예측 방법과 LOCO-I, RLGR의 순차 적응 방법을 적용하였다. 실험 결과 블록기반 매개변수 예측 방법과 제안 방식의 예측기를 이용하면 자기상관 방법과 레빈슨-더빈을 사용하는 FLAC 무손실 부호화기보다 $2.2879%{\sim}0.3413%$ 압축률이 향상되는 결과를 나타내었고, 제안 방식의 예측기와 LOCO-I 순차 적응 방법을 이용한 경우는 $2.2381%{\sim}0.0214%$ 압축률이 향상되는 결과를 나타내었다. 그러나 제안 방식의 예측기와 RLGR 순차 적응 방법을 이용한 경우는 특정 신호에서만 압축률이 향상되었다.

• 간호행정학회지
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• 제22권5호
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• pp.496-506
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• 2016

Purpose: This study was conducted to examine the adaptation experience of male nurses working in general wards. Methods: Experiential data was collected from 16 general ward nurses through in-depth interviews. Participants were selected from male nurses working in the general wards with over one year of clinical experience at a tertiary university hospital. The main question was "Can you describe your adaptation experience in the general ward as a nurse?" All interviews were recorded and transcribed, then analyzed using Colaizzi's method. Results: Four categories were derived from the analysis: 'difficulties from task adaptation by characteristics', 'limited nursing situation and circumstance as a male nurse', 'efforts to adapt at general nursing unit', and 'self-worth, and worry about something as a male nurse'. Conclusion: Male nurses had a difficulty adapting to work in wards due to lack of multi-tasking skills, as well as some social prejudice or negative views on male nurses. Establishing reasonable guidelines for male nurses in practice, promoting their responsibilities to patients, developing mentoring programs, and reassessing the policy of assigning male nurses to general wards are recommended to help in better adaptation.

• 한국융합학회논문지
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• 제6권3호
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• pp.119-125
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• 2015

본 연구의 목적은 가족의 기능적 결손이라는 위험상황에서 위험요인, 보호요인, 심리적응 간의 관계를 검증하고, 심리적응 수준이 높은 청소년을 보호해주는 보호요인을 파악하고자 한다. 이를 위해 한국국청소년정책연구원(2008)에서 조사한 한국청소년패널조사 중2 패널 5차년도 자료를 가지고 기술통계 분석과 로지스틱 회귀 분석을 실시하였다. 연구결과 청소년의 보호요인인 자아존중감과 학교친구애착에 따라 기능적 결손을 경험한 청소년의 심리적응 수준이 다르게 나타났다. 따라서 사회복지실천 현장에서 청소년의 위험요인에 초점을 맞추기보다는 위험요인을 완화시키는 과정이나 보호요인에 초점을 맞춤으로써 위험요인에 노출된 청소년을 바라보는 시각을 전환시킬 수 있으며 이들에 대한 개입도 달라질 것으로 판단된다.

• 한국임상보건과학회지
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• 제8권2호
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• pp.1417-1425
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• 2020

Purpose: The purpose of this study was to check the stress, stress and coping ability of nursing college students and to identify factors that influence college life adjustment. Method: This study was a descriptive research study to confirm the correlation between stress, stress response, coping ability, and college life adaptation of nursing college students, and to analyze the factors that influence college life adjustment. The data collection period was from August 17 to 23, 2020, for one week, the researcher directly explains the purpose and purpose of the study to 221 nursing college students nationwide, and online surveys to those who have agreed to participate in the study. The collected data were analyzed using SPSS Win 20.0 program. Results: Adaptation to college was negatively correlated with stress (r=-.285, p<.001), stress response (r=-.258, p<.001), and coping ability (r=.512, p<.001) had a positive correlation. The most significant factor influencing the study subjects' adaptation to college life was coping ability (β=.473, p<.001), followed by stress (β=-.185, p=.002) in the order of The explanatory power of the factors affecting the subject's adaptation to college life was 28.9%. Conclusion: As a result of this study, it means that nursing students' adaptation to college life has less stress and stress response, and higher coping ability increases college life adaptation. The factor that influenced the adjustment to college life was the most significant factor, followed by stress. In order for nursing students to adjust to college life smoothly, it is thought that coping measures to reduce stress and stress responses and overcome them are necessary.

• 여성건강간호학회지
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• 제26권4호
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• pp.346-357
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• 2020

Purpose: This descriptive phenomenological study aimed to explore the lived experience and meaning of pregnant women's adaptation. Methods: Ten pregnant women from an ongoing Pregnant Couples' Cohort Study agreed to participate in this study. The data were collected through telephone in-depth interviews regarding what they experienced and felt about pregnancy adaptation. The qualitative data were analyzed using Giorgi's method of descriptive phenomenology. Results: Five core situation components were extracted from the raw data, along with 12 themes and 33 focal meanings. The five core situations were 1) first recognizing the pregnancy, 2) pregnancy-related changes, (3) the upcoming birth, 4) the postpartum period, and 5) parenting. The 12 themes were as follows: "anxiety, pressure, and embarrassment due to pregnancy," "efforts to adapt to physical changes," "efforts to adapt to the psychological difficulties of pregnancy," "efforts to adapt to the financial burden and role changes caused by pregnancy," "connecting with the fetus," "adapting to a new marital relationship centering on the baby," "the frustration of childbirth," "fear of childbirth," "postpartum care, need help with lactation planning," "parenting beyond what I imagined," "dad's willingness to participate in parenting," and "career disconnect and consideration of workplace needs." Conclusion: We identified that pregnant women experience adaptation in physical, psychological, relational, and social aspects. The thematic clusters identified can be used to develop nursing interventions to promote women's adaptation to pregnancy.

• 반도체디스플레이기술학회지
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• 제23권1호
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• pp.12-18
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• 2024

The accelerated pace of climate crisis due to continuous industrialization and greenhouse gas emissions necessitates sustainable solutions that simultaneously address mitigation and adaptation to climate change. Naturebased Solutions (NbS) have gained prominence as viable approaches, with Green Infrastructure being a representative NbS. Green Infrastructure involves securing green spaces within urban areas, providing diverse climate adaptation functions such as removal of various air pollutants, carbon sequestration, and isolation. The proliferation of Green Infrastructure is influenced by the quantification of improvement effects related to various projects. To support decision-making by assessing the climate vulnerability of Green Infrastructure, the U.S. Department of Agriculture (USDA) has developed i-Tree Tools. This study proposes a comprehensive evaluation approach for climate change adaptation types by quantifying the climate adaptation performance of urban Green Infrastructure. Using i-Tree Canopy, the analysis focuses on five urban green spaces covering more than 30 hectares, considering the tree ratio relative to the total area. The evaluation encompasses aspects of thermal environment, aquatic environment, and atmospheric environment to assess the overall eco-friendliness in terms of climate change adaptation. The results indicate that an increase in the tree ratio correlates with improved eco-friendliness in terms of thermal, aquatic, and atmospheric environments. In particular, it is necessary to prioritize consideration of the water environment sector in order to realize climate change adaptive green infrastructure, such as increasing green space in urban areas, as it has been confirmed that four out of five target sites are specialized in improving the water environment.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.732-734
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• 2004

In this paper, it is suggested and implemented that a new structure of illumination control system using the adaptation control method is to control a number of illuminators. IDs is given to each illuminator controller, the systems are connected in serial, and then the main system controls the on and off of the power supply, intensity of illumination, and a failure check.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2005년도 추계학술대회 및 정기총회
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• pp.237-240
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• 2005

This paper describer a design expert system which determines the design values of shadow mask using Case-Based Reasoning. In Case-Based Reasoning, it is important to both retrieve similar cases and adapt the cases to meet the design specifications exactly. Especially, the difficulty in automating the adaptation process will prevent the designers from using the design expert systems efficiently and easily. This paper explains knowledge-based design support systems for shadow mask through neural network-based case adaptation. Specifically, we developed 1) representing design knowledge and 2) adaptive case-based reasoning method using RBFN (Radial Basis Function Network).

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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• pp.18-21
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• 1995

In this paper we describe a new method for multimodal function optimization using genetic algorithms(GAs). We propose adaptation rules for GA parameters such as population size, crossover probability and mutation probability. In the self organizing genetic algorithm(SOGA), SOGA parameters change according to the adaptation rules. Thus, we do not have to set the parameters manually. We discuss about SOGA and those of other approaches for adapting operator probabilities in GAs. The validity of the proposed algorithm will be verified in a simulation example of system identification.