• Title/Summary/Keyword: Time-scale analysis

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Self-Actualization of College Students in Distance Education Analyzed from Nursing Counseling (정신간호상담에서 나타난 방송통신 대학생의 자아실현 분석)

  • 이소우;박명자
    • Journal of Korean Academy of Nursing
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    • v.17 no.1
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    • pp.33-43
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    • 1987
  • This study was to explore the level of self-actualization of the students in Korea Air and Correspondence University. The study subjects consisted of 507 students who visited the counseling center for taking advices to several psychosocial problems due to distance education through nursing counseling. The self actualization of the subjects evaluated by the self-actualization Inventory standardized by Kim and Lee in Korea. It consisted of 130 two-choice comparative value and behavior judgements. The items also consisted of two basic scales: one is inner directed scale (107 items) and the other is time competence (23 items) which included eight subscales, each of which measures a conceptually important element of self-actualization. Analysis of finding was as follows: 1) The self-actualization mean score of the total subjects was characterized by normal value within normal range of scale. The highest subscale score was NC scale: the lowest scale was EX scale. 2) The mean score of time competence scale of female student was higher than male student's time competence scale. 3) There was no significant differences in self aclualization among 4 groups in age. 4) There was also no significant differences in self-actualization between the group taken one time nursing counseling and the group taken two more times nursing counseling. 5) The problems of Job, learning, personality and further study, significantly had effects on the score of self-actualization level.

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A spectrum based evaluation algorithm for micro scale weather analysis module with application to time series cluster analysis (스펙트럼분석 기반의 미기상해석모듈 평가알고리즘 제안 및 시계열 군집분석에의 응용)

  • Kim, Hea-Jung;Kwak, Hwa-Ryun;Kim, Yu-Na;Choi, Young-Jean
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.1
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    • pp.41-53
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    • 2015
  • In meteorological field, many researchers have tried to develop micro scale weather analysis modules for providing real-time weather information service in the metropolitan area. This effort enables us to cope with various economic and social harms coming from serious change in the micro meteorology of a metropolitan area due to rapid urbanization such as quantitative expansions in its urban activity, growth of population, and building concentration. The accuracy of the micro scale weather analysis modules (MSWAM) directly related to usefulness and quality of the real-time weather information service in the metropolitan area. This paper design a evaluation system along with verification tools that sufficiently accommodate spatio-temporal characteristics of the outputs of the MSWAM. For this we proposes a test for the equality of mean vectors of the output series of the MSWAM and corresponding observed time series by using a spectral analysis technique. As a byproduct, a time series cluster analysis method, using a function of the test statistic as the distance measure, is developed. A real data application is given to demonstrate the utility of the method.

A Large-scale Structural Mixing Model applied to Blowout of Turbulent Nonpremixed Jet Flames in a Cross air-flow

  • Lee, Kee-Man;Shin, Hyun-Dong
    • 한국연소학회:학술대회논문집
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    • 1997.06a
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    • pp.163-173
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    • 1997
  • This article presents an application of a large-scale structural mixing model (Broadwell et al. 1984) to the blowout of turbulent reacting jets discharging perpendicularly into an unconfined cross air-flow. In an analysis of a common stability curve, a plausible explanation can be made that the phenomenon of blowout is related only to the mixing time scale of the two flows. The most notable observation is that the blowout distance is traced at fixed positions at all times according to the velocity ratio R. Measurements of the lower blowout limits in the liftable flame agree qualitatively with the blowout parameter ${\varepsilon}$, proposed by Broadwell et al. Good agreement between the results calculated by a modified blowout parameter ${\varepsilon}^'$ and experimental results confirms the important effect of a large-scale structure in specifying the stabilization feature of blowouts.

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Analysis on Economies of Scale in Offshore Fishery Using a Translog Cost Function (초월대수비용함수를 이용한 근해어업의 규모의 경제성 분석)

  • Shin, Yongmin;Sim, Seonghyun
    • Ocean and Polar Research
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    • v.39 no.1
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    • pp.61-71
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    • 2017
  • This study estimates the cost function through offshore fishery cost data and analyzed the economies of scale of Korea's offshore fishery. For the estimation of the cost function, translog cost function was used, and the analysis implemented the panel analysis of the panel data. Also, annual economies of scale of the offshore fishery and economies of scale of 14 offshore fisheries in 2015 were analyzed using translog cost function coefficient estimation. The analysis result of economies of scale of Korea's offshore fishery showed that with the exception of 2003, economies of scale exist in all periods of time. However, as it almost reaches the minimum efficient scale, it was revealed that further scale expansion will bring inefficiency. Thus, according to the analysis result, Korea's offshore fishery requires a scale reduction policy rather than scale expansion policy, and this seems to coincide with the current government's fishery reconstruction policy and its practice such as the fishing vessel buyback program. The analysis result of economies of scale of each offshore fishery in 2015 showed that economies of scale of each offshore fishery exists with the exception of five trawl fisheries such as large pair-trawl and large otter trawl and large purse seines. This strongly suggests that the five fisheries and Large Purse Seines with non performing economies of scale need urgent scale reduction and should be the first target for the government's fishery reconstruction policy.

The Study for Software Future Forecasting Failure Time Using ARIMA AR(1) (ARIMA AR(1) 모형을 이용한 소프트웨어 미래 고장 시간 예측에 관한 연구)

  • Kim, Hee-Cheul;Shin, Hyun-Cheul
    • Convergence Security Journal
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    • v.8 no.2
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    • pp.35-40
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    • 2008
  • Software failure time presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. In this paper, we discuss forecasting failure time case of failure time censoring. The used software failure time data for forecasting failure time is random number of Weibull distribution(shaper parameter 1, scale parameter 0.5), Using this data, we are proposed to ARIMA(AR(1)) and simulation method for forecasting failure time. The practical ARIMA method is presented.

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A Study on Development of the Perceived Adequacy of Resorces Scale (자원적정지각 척도 개발에 관한 연구)

  • 조영희
    • Journal of Families and Better Life
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    • v.9 no.2
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    • pp.241-251
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    • 1991
  • The Purpose of this study was the development of scale to measure the Perceived Adequacy of Resources(PAR). A 38-item instrument was analysed with responses form 300 wives dwelling in Seoul. PAR was categorized housing, health, time money, interpersonal, knowledge/skills, community resources, Data were analysed by the method of Pearson's Correlation, Factor Analysis and Multiple Regression. Items were loaded eight resource categories such as time housing, money , health, knowledge, social support, community, psychological relationship. Internal consistency of the scale was high(Cronbach's α=.85) The result proposed PAR constructed 28 items.

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Performance Analysis, Real Time Simulation and Control of Medium-Scale Commercial Aircraft Turbofan Engine

  • Kong, Chang-Duk;Jayoung Ki;Chung, Suk-Chou
    • Journal of Mechanical Science and Technology
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    • v.15 no.6
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    • pp.776-787
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    • 2001
  • The turbofan engine performance analysis for a medium scale commercial aircraft was carried out and the LQR control scheme for performance optimization was studied. By using scaled component maps from well-known CF6 engine characteristics, the steady-state performance analysis result was compared with BR715-56 engine performance data. The transient performance analysis was performed with four fuel schedules. The linear simulation was done at the maximum take-off condition. The real time linear simulation was performed by interpolation of the system matrices, which used the least square method as the function of LPC rotational speed. By using linear system matrices of design point, the LQR controller which used control variables for the fuel flow and the LPC bleed air was designed.

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A Large-scale Structural Mixing Model applied to Blowout of Turbulent Nonpremixed Jet Flames in a Cross Jet Flow (횡분류(流)(橫噴流)에서 난류 비예흔합 화염의 화염날림에 대한 거대 와(渦)구조 혼합 모텔 적용)

  • Lee, Kee-Man;Park, Jeong
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.26 no.1
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    • pp.133-140
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    • 2002
  • This article presents an application of a large-scale structural mixing model(Broadwell et at. 1984) to the blowout of turbulent reacting cross flow jets. Experimental observations, therefore, aim to identify the existence of large-scale vortical structure exerting an important effect upon the flame stabilization. In the analysis of common stability curve, it is seen that the phenomenon of blowout are only related to the mixing time scale of the two flows. The most notable observation is that the blowout distance is traced at a fixed positions according to the velocity ratio at all times. Measurements of the lower blowout limits in the liftable flame are qualitatively in agreement with the blowout parameter $\xi$, proposed by Broadwell et al. Good agrement between the results calculated by a modified blowout parameter $\xi$'and the present experimental results confirms the important effect of large-scale structure in the stabilization feature of blowout.

Statistical Analysis of a Small Scale Time-Course Microarray Experiment (소규모 경시적 마이크로어레이 실험의 통계적 분석)

  • Lee, Keun-Young;Yang, Sang-Hwa;Kim, Byung-Soo
    • The Korean Journal of Applied Statistics
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    • v.21 no.1
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    • pp.65-80
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    • 2008
  • Small scale time-course microarray experiments are those which have a small number of time points. They comprise about 80 percent of all time-course microarray experiments conducted up to 2005. Several statistical methods for the small scale time-course microarray experiments have been proposed. In this paper we applied three methods, namely, QR method, maSigPro method and STEM, to a real time-course microarray experiment which had six time points. We compared the performance of these three methods based on a simulation study and concluded that STEM outperformed, in general, in terms of power when the FDR was set to be 5%.

ATM Traffic Analysis: Burst Scale Probability Function

  • Kemelmacher, E.Rozenshine
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.876-879
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    • 2002
  • The paper presents the analysis and results of traffic measurements in the 155 Mbit/s real working ATM backbone network. The traffic is described as an ordered sequence of real-time cells. In this paper we analyze two timescales in which some form of a stochastic process is taking place: cell scale and burst scale. We present another way to describe the cell flow in ATM networks by definition the function, designed to be the probability of the burst of length ∫in n sequential slots.

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