• Journal of the Korea Computer Industry Society
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• v.2 no.7
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• pp.967-974
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• 2001

This paper aims at deriving an equivalent finite dimensional discrete-time system for $H{\infty}$ type problem for sampled-data control systems. A widely used approach is based on the lifting technique, but it needs somewhat complicate computation. Instead, this paper derives an equivalent finite-dimensional discrete-time system directly from a description of the sampled-data system which is achieved via a closed-loop expression of the worst-case intersample disturbance.

• Asian Oncology Nursing
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• v.12 no.2
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• pp.117-124
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• 2012

Purpose: The purpose of this study was to assess pain, sleep disturbance, fatigue, and the quality of life and to identify the impact of pain, sleep disturbance and fatigue on the quality of life in patients with pancreatic cancer undergoing chemotherapy. Methods: Data were collected from June to July, 2010. Participants were recruited from Y university hospital in Seoul. Research instruments included numeric rating scale for pain, Functional Assessment Chronic Illness Therapy-Functional Well-Being (FACIT-FWB): General Factor 5 (GF5) for sleep disturbance, Functional Assessment of Cancer Therapy-General (FACT-G) for quality of life, and FACT-Fatigue for fatigue. Results: The quality of life for cancer patients had a significant relationship with pain, sleep disturbance, and fatigue. The significant factors influencing quality of life were pain, sleep disturbance, and fatigue that explained 52.6% of the variance. Conclusion: Patients with pancreatic cancer undergoing chemotherapy experienced pain, fatigue, and sleep disturbance which led to a negative effect on quality of life. The results suggest that intervention program to improve quality of life could reduce pain, fatigue, and sleep disturbance of pancreatic cancer patients undergoing chemotherapy.

• Women's Health Nursing
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• v.20 no.3
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• pp.195-203
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• 2014

Purpose: The objective of this study was to investigate the relationship between fatigue, sleep disturbance, and gestational stress in women during late stage of pregnancy. Methods: This study was conducted with 113 healthy pregnant women at gestational age greater than 27 weeks who were registered at community health centers and received prenatal care. A structured questionnaire regarding fatigue, sleep disturbance, and gestational stress was used. The data was analyzed using a t-test, an ANOVA, and Pearson correlation coefficients. Results: The subjects with unplanned pregnancies and irregular exercise patterns showed a higher level of fatigue than those with planned pregnancies and regular exercise patterns. Pregnant women with caffeine intake manifested higher levels of gestational stress and sleep disturbance than those without. The levels of sleep disturbance and gestational stress increased as the fatigue levels increased. The fatigue levels increased with increased levels of sleep disturbance. Conclusion: Planned pregnancy, regular exercise patterns, and caffeine intake were related with fatigue, sleep disturbance, and gestational stress in women during late stages of pregnancy. Fatigue, sleep disturbance, and gestational stress had close associations to each other. In the future, such results should guide development of nursing intervention programs for women in late stages of pregnancy.

• Korean Journal of Remote Sensing
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• v.25 no.1
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• pp.85-94
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• 2009

This paper presents the capability to use QuickBird imagery for effects of forest disturbance in Okgye burned area. Particular attention of this paper deals with the NBR-derived mapping burn severity on QuickBird imagery to locate reliable rehabilitation(namely, secondary succession) over postfire surface. Comparisons of the mapping forest disturbance derived from QuickBird NBR data and the mapping burn severity derived from Landsat ${\Delta}NBR$ data show substantial agreement (KHAT value =0.7886). The method calculated from the correlation between QuickBird wetness and Landsat ETM+ band7 may have application to forest harvest disturbance.

• Publications of The Korean Astronomical Society
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• v.15 no.spc2
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• pp.1-13
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• 2000

Through the coupling between the near-earth space environment and the polar ionosphere via geomagnetic field lines, the variations occurred in the magnetosphere are transferred to the polar region. According to recent studies, however, the polar ionosphere reacts not only passively to such variations, but also plays active roles in modifying the near-earth space environment. So the study of the polar ionosphere in terms of geomagnetic disturbance becomes one of the major elements in space weather research. Although it is an indirect method, ground magnetic disturbance data can be used in estimating the ionospheric current distribution. By employing a realistic ionospheric conductivity model, it is further possible to obtain the distributions of electric potential, field-aligned current, Joule heating rate and energy injection rate associated with precipitating auroral particles and their energy spectra in a global scale with a high time resolution. Considering that the ground magnetic disturbances are recorded simultaneously over the entire polar region wherever magnetic station is located, we are able to separate temporal disturbances from spatial ones. On the other hand, satellite measurements are indispensible in the space weather research, since they provide us with in situ measurements. Unfortunately it is not easy to separate temporal variations from spatial ones specifically measured by a single satellite. To demonstrate the usefulness of ground magnetic disturbance data in space weather research, various ionospheric quantities are calculated through the KRM method, one of the magneto gram inversion methods. In particular, we attempt to show how these quantities depend on the ionospheric conductivity model employed.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.7
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• pp.547-555
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• 2002

This paper proposes a stabilizing controller for the multirate sampled-data systems, which have a periodic output measurement scheme, in case of the open-loop unstable plant. A sufficient condition for maintaining observability in the multirate sampled-data systems is derived and a design strategy for filtered disturbance rejection is proposed. We also propose a design method for the plant output estimator. It is shown that the proposed pre-stabilizing controllers can stabilize the plant through the simulations. The proposed controller has IMC structure, and can be decomposed into the pre-stabilizing controller, the plant output estimator, the filtered disturbance estimator and the inverse of the fast pre-stabilized plant model. We assume that the plant is open-loop unstable and the disturbance consists of a sum of finite number of sinusoids with different frequencies. Some examples are presented for illustrations.

• Journal of Korean Clinical Nursing Research
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• v.19 no.2
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• pp.285-297
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• 2013

Purpose: This study was conducted to investigate the differences in sleep disturbance, stress, self-efficacy and depression by fatigue level and to identify the factors influencing fatigue in hemodialysis patients. Methods: This study used a cross-sectional design and the subjects were 195 patients undergoing hemodialysis in a local unit. Data were collected using a structured questionnaire and medical records from June to August 2012. The data were analyzed using descriptive statistics, independent t-test, one way ANOVA, $Scheff{\grave{e}}$ test, and Pearson's correlation coefficients. Also a multiple regression analysis was used to assess the independent association between fatigue status and indices of sleep disturbance, stress, self-efficacy and depression. Results: A total of 99 (50.8%) subjects experienced a high level of fatigue and 96 (49.2%) experienced a low level of fatigue. There were significant differences in the levels of sleep disturbance, stress, self-efficacy and depression between the two groups. Fatigue was significantly correlated to sleep disturbance, stress, self-efficacy and depression. The most important factor related to fatigue was stress, followed by sleep disturbance. These factors explained about 37% of fatigue of the respondents. Conclusion: The results of this study showed that sleep disturbance and stress were significant predictors of fatigue in hemodialysis patients. Possible interventions for minimizing fatigue in patients undergoing long-term hemodialysis should be aimed to manage the known contributing factors.

• Journal of Power System Engineering
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• v.4 no.3
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• pp.72-80
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• 2000

In order to design a stable robust controller, nominal model, and the upper bound about the uncertainty which is the error of the model are needed. The problem to estimate the nominal model of controlled system and the upper bound of uncertainty at the same time is called robust identification. When the nominal model of controlled system and the upper bound of uncertainty in relation to robust identification are given, the evaluation of the validity of the model and the upper bound makes it possible to distinguish whether there is a model which explains observation data including disturbance among the model set. This paper suggests a method to identity the uncertainty which removes disturbance and expounds observation data by giving a probable postulation and plural data set to disturbance. It also examines the suggested method through a numerical computation simulation and validates its effectiveness.

• Journal of East-West Nursing Research
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• v.11 no.1
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• pp.42-50
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• 2005

Purpose: The purpose this research was to provide with basic data in the control of the fatiguer found in the patients with fibromyalgia by analysing the factors that predict that. Method: At three university medical center, appointed 245 out-patients diagnosed of fibromyalgia according to the conditions by American College of Rheumatology (1990). The research instruments used in this study were graphic rating scale(Anxiety, sleep disturbance, pain, joint stiffness and depression), physical activity, the number of tender points, life satisfaction and Self-efficacy scale. In data analysis, SPSS 12.0 program was utilized and data were analyzed using descriptive statistics, Pearson's correlation coefficient and multiple regression. Result: The factors that predict the fatigue of patients with fibromyalgia were sleep disturbance, life satisfaction, pain, joint stiffness, illness duration, and anxiety which explained 50.1% of the fatigue. Conclusion: It has been confirmed that the regression equation model of this research may serve as a fatigue prediction factors in patients with fibromyalgia.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.488-488
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• 2000

This paper proposes a stabilizing controller for multirate sampled-data systems which have a periodic output The proposed controller has IMC structure, and can be decomposed into a ye-stabilizing controller, an output estimator, a filtered disturbance estimator and the inverse of the fast ye-stabilized plant model. We assume that the plant is open-loop unstable and the disturbance consists of a sum of finite number of sinusoids with different frequencies. A sufficient condition for maintaining observability in the multirate sampled-data system is derived and a design strategy for filtered disturbance rejection is proposed. In addition, we propose a design method (or the plant output estimator. The simulation results show that the proposed stabilizing controllers can stabilize the plant