• Title/Summary/Keyword: least-scale

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Development of a Korean Coping Strategy Scale and Examination of Urban Low Income Housewives' Coping Strategy (도시 저소득층 주부의 스트레스에 대한 대처전략척도 개발과 대처행동 조사)

  • 정문자
    • Journal of the Korean Home Economics Association
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    • v.36 no.12
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    • pp.129-143
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    • 1998
  • The purpose of this study was to develop a Korean Coping Strategy Scale and to examine coping characteristics of Korean housewives form urban low-income families using this Scale. Two hundred and forty mothers were either interviewed or filled out this Coping Strategy Scale and Demograpic Information Questionnaire. The Coping Strategy Scale consisted of 14 items under 4 dimensions of problem-solving, support-seeking, emotion-regulation/explosion, and abandonment. Item analysis and construct validation were found acceptable. The alpha coefficient of the Scale was 73. The results showed that the mothers used problem-solving most as a coping strategy, followed by supportseeking and emotion-regulation/explosion. Abandonment coping strategy was used least frequently. The demographic variables of mother's and their husbands' age, duration of marriage, income and expenditure per moth were significantly related to mothers' coping strategies.

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Performance Improvement of Packet Loss Concealment Algorithm in G.711 Using Adaptive Signal Scale Estimation (적응적 신호 크기 예측을 이용한 G.711 패킷 손실 은닉 알고리즘의 성능향상)

  • Kim, Tae-Ha;Lee, In-Sung
    • The Journal of the Acoustical Society of Korea
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    • v.34 no.5
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    • pp.403-409
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    • 2015
  • In this paper, we propose Packet Loss Concealment (PLC) method using adaptive signal scale estimation for performance improvement of G.711 PLC. The conventional method controls a gain using 20 % attenuation factor when continuous loss occurs. However, this method lead to deterioration because that don't consider the change of signal. So, we propose gain control by adaptive signal scale estimation through before and after frame information using Least Mean Square (LMS) predictor. Performance evaluation of proposed algorithm is presented through Perceptual Evaluation of Speech Quality (PESQ) evaulation.

Concurrent Validity of the Functional Gait Assessment, Berg Balance Scale, and Timed Up and Go Test in Patients With Stroke (뇌졸중 환자에 대한 기능적 보행평가, 버그 균형척도, 일어나 걸어가기 검사의 동시 타당도)

  • Won, Jong-Im;Kim, Ki-Song
    • Physical Therapy Korea
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    • v.18 no.2
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    • pp.43-51
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    • 2011
  • Balance is a complex motor skill that depends on interactions between multiple sensorimotor processes and environmental and functional contexts. Many rehabilitation specialists believe that balance assessment under multitask conditions may be a more sensitive indicator of balance problems and falls than balance assessment in a single-task context. Functional Gait Assessment has many tasks that allow for testing under multitask conditions. The purpose of this study was to determine the concurrent validity between the Functional Gait Assessment (FGA), Berg Balance Scale (BBS), and Timed "Up & Go" Test (TUG) in patients with stroke. One hundred and five participants with at least 3 months post stroke and able to walk at least 6 m with or without a mono cane, participated in this study. Concurrent validity between the FGA, BBS, and TUG was assessed using Spearman rank order correlation. The FGA correlated with the BBS (r=.80, p<.01) and TUG (r=-.77, p<.01). The good and moderate correlation between the FGA, BBS, and TUG establishes the concurrent validity of the FGA in patients with stroke. These measures provide clinicians with valuable information about patients' functional balance capabilities.

Adjuvant Sertraline Treatment for Chronic Schizophrenia : A Randomized, Double Blind, Placebo-Controlled Study (만성 정신분열증환자에 대한 Sertraline병합치료 효과)

  • Lee, Min-Soo;Kim, Yong-Ku;Lee, Sang-Kyu;Suh, Kwang-Yoon
    • Korean Journal of Biological Psychiatry
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    • v.4 no.1
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    • pp.127-131
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    • 1997
  • Objective : To evaluate the clinical efficacy of adjuvant sertraline treatment in chronic schizophrenic patients, we carried out a double-blind, placebo controlled study. Method : Thirty six inpatients who fulfilled DSM-III-R criteria for chronic schizophrenia were randomly assigned to sertraline and placebo groups in a double-blinded fashion. A history of at least 2 years of illness and at least six months of hospitalization were prerequisities for inclusion in the study. Patients were received sertraline 50mg or placebo for 8 weeks in addition to their routine haloperidol regimen. Positive and Negative Syndrome Scale (PANSS), Clinical Global Impression(CGI), Simpson-Angus Scale(S-A) were evaluated at 5 points ; baseline, 2, 4, 6, and 8 weeks of treatment. Results : The groups were controlled for age, gender, and length of illness. There were no significant differences in three PANSS factros(positive, negative, general), CGI, and S-A scale scores at any between sertaline and placebo treatment. Conclusion : This placebo controlled study showed no significant effects of sertraline on negative and positive symptoms in chronic schizophrenic patients.

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The Structural Equation Model with Ordinal Data (순서형 자료로 측정된 구조방정식모형 분석)

  • 윤상운;박정선;이태섭
    • Journal of Korean Society for Quality Management
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    • v.30 no.3
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    • pp.38-52
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    • 2002
  • This paper is concerned with the analysis of structural equation model(SEM) with the ordinal data such as Likert scale. The SEM is misused when the arbitrary scores allocated to the Likert scale are treated as quantitative data. The underlying distribution approaches have been studied to solve this problem, and the partial least squares(PLS) Is also tried. In this paper the quantification methods for the Likert scale are proposed to analyze the SEM. We assume that the Likert scale is an observation of the interval of the continuous underlying distribution, and the respondents have their own patterns in the response of some questions. Normal and beta distributions as the response patterns are considered to quantify the Likert scale. To compare the efficiency of the proposed method the bootstrap simulations are tried.

An Accuracy Estimation of AEP Based on Geographic Characteristics and Atmospheric Variations in Northern East Region of Jeju Island (제주 북동부 지역의 지형과 대기변수에 따른 AEP계산의 정확성에 대한 연구)

  • Ko, Jung-Woo;Lee, Byung-Gul
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.3
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    • pp.295-303
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    • 2012
  • Clarify wind energy productivity depends on three factors: the wind probability density function(PDF), the turbine's power curve, and the air density. The wind PDF gives the probability that a variable will take on the wind speed value. Wind shear refers to the change in wind speed with height above ground. The wind speed tends to increase with the height above ground. also, Wind PDF refers to the change with height above ground. Wind analysts typically use the Weibull distribution to characterize the breadth of the distribution of wind speeds. The Weibull distribution has the two-parameter: the scale factor c and the shape factor k. We can use a linear least squares algorithm(or Ln-least method) and moment method to fit a Weibull distribution to measured wind speed data which data was located same site and different height. In this study, find that the scale factor is related to the average wind speed than the shape factor. and also different types of terrain are characterized by different the scale factor slop with height above ground. The gross turbine power output (before accounting for losses) was caculated the power curve whose corresponding air density is closest to the air density. and air desity was choose two way. one is the pressure of the International Standard Atmosphere up to an elevation, the other is the measured air pressure and temperature to calculate the air density. and then each power output was compared.

Analysis of Wildlife Moving Route with Landscape Characteristics (경관의 특성에 따른 동물의 이동경로에 관한 연구)

  • Lee, Dong-Kun;Park, Chan;Song, Won-Kyong
    • Journal of Environmental Impact Assessment
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    • v.17 no.2
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    • pp.133-141
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    • 2008
  • The loss, alteration, and fragmentation of habitat have led to a reduction of biodiversity. The growing awareness of the negative effects of habitat fragmentation on natural systems has resulted in conservation strategy that is concerned with not only population and habitat level but also ecosystem and landscape level. Especially, ecological network to link core areas or major habitat patches is one of the most important issues. Recently, landscape connectivity is increasingly used in decision making for fragmented landscape management in order to conserve the biodiversity in the regional scale. The objective of this study was to find potential forest as a ecological corridor in Go-yang city, Gyung-gi province using cost-distance modelling method that can measure connectivity based on animal movement. 'Least cost-distance' modelling based on functional connectivity can be useful to establish ecological network and biodiversity conservation plan. This method calculates the distance modified with the cost to move between habitat patches based on detailed geographical information on the landscape as well as behavioural aspects of the animal movement. The least cost-distance models are based on two biologically assumptions: (1) dispersers have complete knowledge of their surroundings, and (2) they do select the least cost route from this information. As a result of this study, we can find wildlife moving route for biodiversity conservation. The result is very useful for long-term aspect of biodiversity conservation plan in regional scale, because this is reflection of geographical information and behavioural aspects of the animal movement.

Rivers in Global Water Cycles

  • Oki, Taikan;Musiake, Katumi
    • Journal of Korea Water Resources Association
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    • v.33 no.S1
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    • pp.11-19
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    • 2000
  • The role of river in the global water cycles and the modelling the horizontal water transport by rivers in the global scale are discussed. Due to the consolidation of the various hydrological information of the planet, now it is possible to monitor and simulate the quantity of the water carried by rivers. Land surface models that were developed originally for giving the boundary condition of the atmospheric and/or climatic models can be fairly used for river runoff simulations at least monthly scale, and it is promissing the approach will be a powerful tool to investigate the future water resources management.

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Measurement of Surface Color and Fermentation Degree in Tea Products Using NIRS (근적외선 분광광도계를 이용한 차제품의 표면 색상 및 발효정도 측정)

  • Chun, Jong-Un
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.54 no.1
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    • pp.55-60
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    • 2009
  • This study was conducted to measure tea surface colors using the visible bands ($400{\sim}700$ nm) with near-infrared spectroscopy (NIRS). The surface colors of 117 tea products were measured with a colorimeter. The $a^*/b^*$ (CIE color scale) or a/b (Hunter color scale) ratios in different tea products accounted for about 99.7% of the variation in fermentation degree (FD), indicating that the $a^*/b^*$ (a/b) ratio is a very useful trait for assessing fermentation degree. Also tea powders were scanned in the visible bands used with NIRS. Calibration equations for surface colors and fermentation degree were developed using the regression method of modified partial least-squares (MPLS) with internal cross validation. The equations had low SECV (standard errors of cross-validation), and high $R^2$ (coefficient of determination in calibration) values with $0.779{\sim}0.999$, indicating that the whole bands ($400{\sim}2500\;nm$) with NIRS could be used to rapidly measure traits related to surface color, fermentation degree and other chemical components in tea products with high precision and ease at a time.

HDR image display combines weighted least square filtering with color appearance model

  • Piao, Meixian;Lee, Kyungjun;Jeong, Jechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.06a
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    • pp.260-263
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    • 2016
  • Recently high dynamic range imaging technique is hot issue in computer graphic area. We present a progressive tone mapping algorithm, which is based on weighted least squares optimization framework. Our approach combines weighted leastsquaresfiltering with iCAM06, for showing more perceptual high dynamic range images in conventional display, while avoiding visual halo artifacts. We decompose high dynamic range image into base layer and detail layer. The base layer has large scale variation, it is obtained by using weighted least squares filtering, and then the base layer incorporates iCAM06 model. Then, adaptive compression on the base layer according to human visual system. Only the base layer reduces contrast, and preserving detail. The resultshows more perceptual color appearance and preserve fine detail, while avoiding common artifacts.

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