• Title/Summary/Keyword: power adaptation

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Effect of Maternal-Fetal Attachment and Social Support on the Maternal Role Adaptation of Employed Mothers in Convergence age (융복합 시대 취업모의 모성역할적응에 모아애착 및 사회적 지지가 미치는 영향)

  • Kim, Jee-Ean;Kim, Miok;Yi, Su-Jeong
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.379-388
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    • 2020
  • The purpose of this study was to provide information necessary to strengthen maternal role adaptation of employed mothers by identifying factors affecting maternal role adaptation of employed mothers with young children. The subjects of this study were convenience extracts from 137 employed mothers with infants under 24 months of residence in H city, Gyeonggi-do. Data were processed using descriptive statistics, t-test, ANOVA, correlation analysis, and stepwise regression analysis. As a result of the study, maternal role adaptation was positively correlated with mother attachment(r=.488, p<.001) and social support(r=.718, p<.001). Social support(β=.616), baby status at birth(β=.123), current breastfeeding status(β=.127) and maternal attachment degree(β=.141) affect the maternal role adaptation of employed mothers. The explanatory power of regression analysis was 55.5%(F=43.487, p<.001). As a result of the study, social support was found to be the most important factor influencing maternal role adaptation of employed mothers. Various intervention strategies for promoting social support in families, workplaces and communities are required for maternal role adaptation to employed mothers.

Factors Affecting the Clinical Practice Adaptation of the First Year of Clinical Practice (임상실습 1년차의 임상실습적응에 미치는 영향 요인)

  • Je, Nam-Joo;Hwa, Jeong-seok;Park, Meera
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.11
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    • pp.314-323
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    • 2019
  • This study examined the factors affecting clinical practice adaptation to provide basic data for the improvement of clinical practice adaptation for the first year of clinical practice. The subjects were 153 nursing students and medical students in G-do. Data were collected from April 1 to April 30, 2019, and analyzed using a t-test, ANOVA, Pearson correlation coefficient, and multiple regression using IBM SPSS WIN/21.0. The mean of college adjustment, character, interpersonal competence, communicative competence, and clinical practice adaptation was 3.37 points, 3.82, 3.61, 3.56, and 3.54, respectively. Clinical practice adaptation was related to college adjustment, character, interpersonal competence, and communicative competence (p<.001). The most influential factor in clinical practice was interpersonal competence (β=.502, p<.001), followed by department adaptation (β=-.215, p<.001) and college adjustment (β=.174, p=.010), respectively. The explanatory power was 41.1% (F=34.11, p<.001). Therefore, a way to improve interpersonal competence is needed to advance clinical practice adaptation. In the character building program for adjustment to college life, systematic education is needed, including the opportunity to think about and understand oneself, continuous meeting to understand and accept others. In addition, repeated communication training to improve interpersonal competence is needed.

Effect of Perceived Stress and Self-efficacy, Interpersonal Relationship on College Life Adaptation in College students (일 전문대학생의 지각된 스트레스, 자기효능감, 대인관계능력이 대학생활적응에 미치는 영향)

  • Byun, Eun Kyung;Kim, Ye Jin
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.521-528
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    • 2022
  • The purpose of this study was to investigate the effect of perceived stress, self-efficacy, interpersonal relationship of college life adaptation in college students. Data were collected from 2,956 college students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of suicide ideation in nursing students was 3.33±5.28. There were significant differences in college life adaptation with department(F=9.932, p<.001), number of friend(F=5.681, p<.001), close professor (t=-3.739, p<.001), There was negative correlation between college life adaptation and perceived stress(r=-.543, p<.001), positive correlation between college life adaptation and self-efficacy(r=.667, p<.001), interpersonal relationship(r=.679, p<.001). The factors affecting college life adaptation of the study subjects were perceived stress(β=-.191, p<.001), self-efficacy(β=.280, p<.001), interpersonal relationship(β=.394, p<.001), with an explanatory power of 56.7%. Through the result of this study, it is necessary to development education and program that to improve college life adaptation in college students.

Adaptation of Space Vector Modulation to Single-Phase High Power PWM Converters (단상 PWM 컨버터에 적용한 공간 벡터 PWM)

  • Lee, Hee-Myun;Lee, Dong-Myung
    • Proceedings of the KIPE Conference
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    • 2011.07a
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    • pp.442-443
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    • 2011
  • In this paper, a voltage control method based on DQ transformation and Space Vector Pulse Width Modulation (SVPWM) for a single phase three-level converter is proposed. This control method is designed to use DC values instead of using instantaneous values of current which are usually used in single-phase application, so that it results in a fast and robust voltage control response. Simulation results demonstrate the validity of the control strategies.

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Improvement of the characteristics of feedforward linear power amplifier (휘드훠워드 선형 전력 증폭기의 특성 개선)

  • Park, Yil;Lee, Sang-Seol
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.34D no.11
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    • pp.1-8
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    • 1997
  • In this paper, we propose a new method for the improvement of linearizing and adaptive convergence charateristics of the feedforward linear power amplifier. In this circuit, errors at the signal cancellation stage can be compensated at the error cancellation stage and the overall linearizaton and adaptation characteristics of the linear amplifier are improved. The broadband characteristics and linearizing capability are improved without increasing the complexity of circuits and the signal processing structure.

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On the Signal Power Normalization Approach to the Escalator Adaptive filter Algorithms

  • Kim Nam-Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.8C
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    • pp.801-805
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    • 2006
  • A normalization approach to coefficient adaptation in the escalator(ESC) filter structure that conventionally employs least mean square(LMS) algorithm is introduced. Using Taylor's expansion of the local error signal, a normalized form of the ESC-LMS algorithm is derived. Compared with the computational complexity of the conventional ESC-LMS algorithm employs input power estimation for time-varying convergence coefficient using a single-pole low-pass filter, the computational complexity of the proposed method can be reduced by 50% without performance degradation.

Teleoperation R&D activities in korean nuclear waste program

  • Bum, T.J.;Jung, W.T.;Lee, J.S.
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.795-798
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    • 1989
  • This paper presents some results of teleoperation R&D activities for radioactive work. Heavy power manipulator feature is integrated with vision system implementation of advanced type and tool adaptation to hand gripper. Some assodiated te datth activities of interests to the teleoperation and future directions are also presented.

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Neuro-Fuzzy Algorithm for Nuclear Reactor Power Control : Part I

  • Chio, Jung-In;Hah, Yung-Joon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.5 no.3
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    • pp.52-63
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    • 1995
  • A neuro-fuzzy algorithm is presented for nuclear reactor power control in a pressurized water reactor. Automatic reacotr power control is complicated by the use of control rods because of highly nonlinear dynamics in the axial power shape. Thus, manual shaped controls are usually employed even for the limited capability during the power maneuvers. In an attempt to achieve automatic shape control, a neuro-fuzzy approach is considered because fuzzy algorithms are good at various aspects of operator's knowledge representation while neural networks are efficinet structures capable of learning from experience and adaptation to a changing nuclear core state. In the proposed neuro-fuzzy control scheme, the rule base is formulated based ona multi-input multi-output system and the dynamic back-propagation is used for learning. The neuro-fuzzy powere control algorithm has been tested using simulation fesponses of a Korean standard pressurized water reactor. The results illustrate that the proposed control algorithm would be a parctical strategy for automatic nuclear reactor power control.

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A design of vertical axis wind power generating system combined with Darrieus-Savonius for adaptation of variable wind speed (다변풍속 적응형 Darrieus-Sauonius 초합 수직푹 풍력발전 시스템의 설계)

  • 서영택;오철수
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.45 no.2
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    • pp.185-192
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    • 1996
  • This paper presents a design of vertical axis Darrieus wind turbine combine with Savonius for wind-power generating system to be adapted for variable wind speed. The wind turbine consists of two troposkien- and four Savonius-blades. Darrieus turbine is designed with diameter 9.4[m], chord length 380[mm], tip speed ratio 5. Savonius turbine is designed with diameter 1.8[m], height 2[m], tip speed ratio 0.95. The design of turbine is laid for the main data of rated wind speed 10[m/s], turbine speed 101.4[rpm]. The generating power is estimated to maximum power 20[kW], and this is converted to commercial power line by means of three phase synchronous generator-inverter system. Generating system is designed for operation on VSVF(variable speed variable frequency) condition and constant voltage system.

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MRAS Speed Estimator Based on Type-1 and Type-2 Fuzzy Logic Controller for the Speed Sensorless DTFC-SVPWM of an Induction Motor Drive

  • Ramesh, Tejavathu;Panda, Anup Kumar;Kumar, S. Shiva
    • Journal of Power Electronics
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    • v.15 no.3
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    • pp.730-740
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    • 2015
  • This paper presents model reference adaptive system speed estimators based on Type-1 and Type-2 fuzzy logic controllers for the speed sensorless direct torque and flux control of an induction motor drive (IMD) using space vector pulse width modulation. A Type-1 fuzzy logic controller (T1FLC) based adaptation mechanism scheme is initially presented to achieve high performance sensorless drive in both transient as well as in steady-state conditions. However, the Type-1 fuzzy sets are certain and cannot work effectively when a higher degree of uncertainties occurs in the system, which can be caused by sudden changes in speed or different load disturbances and, process noise. Therefore, a new Type-2 FLC (T2FLC) - based adaptation mechanism scheme is proposed to better handle the higher degree of uncertainties, improve the performance, and is also robust to different load torque and sudden changes in speed conditions. The detailed performance of different adaptation mechanism schemes are performed in a MATLAB/Simulink environment with a speed sensor and sensorless modes of operation when an IMD is operates under different operating conditions, such as no-load, load, and sudden changes in speed. To validate the different control approaches, the system is also implemented on a real-time system, and adequate results are reported for its validation.