• Title/Summary/Keyword: Local Central Variance

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Adaptive Median Filter by Local Variance and Local Central Variance (로컬 분산과 로컬 중간값 분산을 이용한 적응형 메디안 필터)

  • 조우연;최두일
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.6
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    • pp.285-294
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    • 2004
  • Median Filters in the Signal Processing have been most widely used and have demonstrated the most strongest effects. This paper proposes the Adaptive Median Filters by using noise detection. The basic algorithm of the proposed filters is to determine whether noise or not by the each noise judgement standards, and then take the Median Filter if it satisfies the conditions as a result of judgement and returns to the original image(No Filters) if not. This paper presented Noise Detection by Local Variance and Local Central Variance for noise judgement, compared and analyzed the features and performance of existing [5]∼[10] Filters. Filter improved on the result of executing the existing filters at the same condition and showed the effects over that when it was judged with naked eyes. Accordingly, the Adaptive Median Filters by Local Variance and Local Central Variance was proven to have reinforced edge preservation ability and have the strong features for removing the Impulse Noise of the Median Filter.

Adaptive Median Filter by Local Central Variance (로컬 중간값 분산을 이용한 적응형 메디안 필터)

  • Cho Woo-Yeon;Choi Doo-Il
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.2
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    • pp.104-115
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    • 2005
  • Median filters in the signal processing have been most widely used and have demonstrated the strongest effects. This paper proposes the adaptive median filters with noise detection. The proposed basic algorithm of the filters is to judge whether or not the noises exist on the ground of The Noise Judgment Standards. Just in case the existence of the noises is verified by the algorithm, it takes the median filter. In order to judge the existence of the noises by the algorithm, this paper introduced the noise detection method by local central variance. As a result of comparing and analyzing the features and performance of the proposed filters and the existing [5]-[10] filters on the same conditions, it was verified that the former proved to be better than the latter, Observed even by naked eyes, it was similar, too. Accordingly, it's proved that the adaptive median filters by local central variance are useful in removing the impulse noise of the median filter and reinforce the edge preservation ability.

Smoothing Output Power Variations of Isolated Utility Connected Multiple PV Systems by Coordinated Control

  • Datta, Manoj;Senjyu, Tomonobu;Yona, Atsushi;Sekine, Hideomi;Funabashi, Toshihisa
    • Journal of Power Electronics
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    • v.9 no.2
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    • pp.320-333
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    • 2009
  • A Photovoltaic (PV) system's power output varies with the change of climate. Frequency deviations, tie line voltage swings are caused by the varying PV power when large PV power from several PV systems is fed in the utility. In this paper, to overcome these problems, a simple coordinated control method for smoothing the variations of combined PV power from multiple PV systems is proposed. Here, output power command is formed in two steps: central and local. Fuzzy control is used to produce the central smoothing output power command considering insolation, variance of insolation and absolute average of frequency deviation. In local step, a simple coordination is kept between the central power command and the local power commands by producing a common tuning factor. Power converters are used to achieve the same output power as local command power employing PI control law for each of the PV generation systems. The proposed method is compared with the method where conventional Maximum Power Point Tracking (MPPT) control is used for each of the PV systems. Simulation results show that the proposed method is effective for smoothing the output power variations and feasible to reduce the frequency deviations of the power utility.

Evaluation and Identification of Promising Bivoltine Hybrids of Silk-worm, Bombyx mori L., for Tropics

  • Rao, P.Sudhakara;Singh, Ravindra;Kalpana, G.V.;Naik, V.Nishitha;Basavaraja, H.K.;Swamy, G.N.Rama;Datta, R.K.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.3 no.1
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    • pp.31-35
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    • 2001
  • Ten newly evolved bivoltine hybrids of silkworm (Bombyx mori L) were evaluated with control hybrid KA${\pm}$NB4D2 during three seasons of a year for their seasonal performance. Analysis of variance and other statistical methods were employed and the performance was observed in respect of 10 quantitative traits. The results showed significant genotype${\pm}$environment interaction with respect to four quantitative characters viz. fecundity, yield/10,000 larvae, filament length and raw silk (%). Environmental effects were significant for nine characters out of ten characters evaluated. A 105${\pm}$J2 and B${\pm}$NB4D2 were considered as highly adaptable hybrids to local conditions with high mean for maximum characters studied and found suitable to rear in all seasons.

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The Effect of R&D Investment on Local Economies Using Dynamic Panel Estimator in Korea (동태적 Panel 분석을 통한 R&D투자의 지역효과 분석)

  • Yang, Ji-Chung
    • International Area Studies Review
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    • v.18 no.3
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    • pp.175-201
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    • 2014
  • This paper analyses the effect of R&D investment on local economies. R&D investment contributes to the regional local economy by increasing employment and production activity of the investees. The investees may end up with increased productivity, sales and employment. At the regional R&D level, the central government R&D fund and firm self R&D budget will be the source of R&D investment. Further positive effects are inter-related with local industries. This study carried out an empirical analysis on the effect of R&D investment on local economies using Korean panel data after comparing international literatures. The dynamic panel estimator is used to estimate an autoregressive model with lagged dependent variable. Using the Da Silva method, mixed variance-component moving-average error process is estimated and selected. R&D investment is very important factor to improve the productivity of a region and the size of the effect is dependent on the time periods within the Korean economic history.

P-${\Delta}$ Effects on the Reliability of Offshore Platforms

  • Leon, David-De;Dante Campos
    • Computational Structural Engineering : An International Journal
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    • v.3 no.1
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    • pp.31-37
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    • 2003
  • A typical marine platform in the Bay of Campeche is studied from the standpoint of structural reliability, and several characteristics of its deck such as slenderness and diameter/thickness ratios of the legs and actual degree of correlation between some variables are taken into account. The global and local buckling capacities of the deck legs are compared and the correlation coefficient between the critical axial load and the critical moment is assessed in order to validate its influence on the structural reliability. In addition, the influence of the vertical load, and its uncertainty, on the variance of the decks capacity, and latter on, on the platform's failure probability is assessed. The results presented may be used in future studies to further extend and upgrade the first version of the Reference Norm (PEMEX, 2000) and, in the longer term, to improve the current practice in the Design and Requalification of Offshore Marine Platforms in the Bay of Campeche.

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A Study on Characteristics of Determining Factor of Rental Price of Apartment by Sub-regions in Seoul (서울시 아파트 전세가격 결정요인의 권역별 특성에 관한 연구)

  • Lee, Seok-Ju;Lee, Joo-Hyung
    • KIEAE Journal
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    • v.11 no.4
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    • pp.19-27
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    • 2011
  • This study aims to find the determining factors for apartment rental prices by using Stepwise Multiple Regression Analysis. In the process, differences among the groups and multicollinearity and correlation between the variables are examined using analysis of variance(ANOVA), correlation analysis and factor analysis. The comprehensive analysis of reliability of the variable and comprehensivization ensure objectivity. For this analysis, the characteristics of the determining factors for apartment rental prices by sub-regions in Seoul are as follows : First, the housing supply rate appears center of the central and the southwest region is influenced by the cultural and ecological environment, convenience, the size of the complex and reputation of the developer. Second, the northeast region is generally influenced by the regional economy, housing size, the density of the complex, well-known construction companies and relevant variables of individual housing and the density of the complex, physical and social environment, reputation of the developer, local economy and housing size. Lastly, the southeast region appears to be influenced by the local economy, the density of the complex, housing size and the educational environment.

Structural Equation Modeling for Public Hospital Quality of Care, Image, Role Performance, Satisfaction, Intent to (Re)visit, and Intent to Recommend Hospital as Perceived by Community Residents (지역주민이 인지하는 공공병원 의료의 질, 이미지, 역할수행, 만족도, (재)이용 의향, 타인추천 의향 구조모형)

  • Hwang, Eun Jeong;Sim, In Ok
    • Journal of Korean Academy of Nursing
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    • v.46 no.1
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    • pp.118-127
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    • 2016
  • Purpose: The study purposes were to construct and test structural equation modeling on the causal relationship of community residents' perceived quality of care, image, and role performance with satisfaction, intention to (re)visit and intention to recommend hospital. Methods: A cross-sectional survey was conducted with 3,900 community residents from 39 district public hospitals. The questionnaire was designed to collected information on personal characteristics and community awareness of public hospitals. Community awareness consisted of 6 factors and 18 items. The data were collected utilizing call-interview by a survey company. Research data were collected via questionnaires and analyzed using SPSS version 20.0 and AMOS version 20.0. Results: Model fit indices for the hypothetical model were suitable for the recommended level: ${\chi}^2=796.40$ (df=79, p<.001), GFI=.93, AGFI=.90, RMSR=.08, NFI=.94. Quality of care, image, and role performance explained 68.1% of variance in community awareness. Total effect of quality of care process factors on satisfaction (path coefficients=3.67), intention to (re)visit (path coefficients=2.67) and intention to recommend hospital (coefficients=2.45) were higher than other factors. Conclusion: Findings show that public hospitals have to make an effort to improve community image through the provision of quality care, and excellent role performance. Support for these activities is available from both Central and Local Governments.

Effects of different wind deflectors on wind loads for extra-large cooling towers

  • Ke, S.T.;Zhu, P.;Ge, Y.J.
    • Wind and Structures
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    • v.28 no.5
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    • pp.299-313
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    • 2019
  • In order to examine the effects of different wind deflectors on the wind load distribution characteristics of extra-large cooling towers, a comparative study of the distribution characteristics of wind pressures on the surface of three large cooling towers with typical wind deflectors and one tower without wind deflector was conducted using wind tunnel tests. These characteristics include aerodynamic parameters such as mean wind pressures, fluctuating wind pressures, peak factors, correlation coefficients, extreme wind pressures, drag coefficients and vorticity distribution. Then distribution regularities of different wind deflectors on global and local wind pressure of extra-large cooling towers was extracted, and finally the fitting formula of extreme wind pressure of the cooling towers with different wind deflectors was provided. The results showed that the large eddy simulation (LES) method used in this article could be used to accurately simulate wind loads of such extra-large cooling towers. The three typical wind deflectors could effectively reduce the average wind pressure of the negative pressure extreme regions in the central part of the tower, and were also effective in reducing the root of the variance of the fluctuating wind pressure in the upper-middle part of the windward side of the tower, with the curved air deflector showing particularly. All the different wind deflectors effectively reduced the wind pressure extremes of the middle and lower regions of the windward side of the tower and of the negative pressure extremes region, with the best effect occurring in the curved wind deflector. After the wind deflectors were installed the drag coefficient values of each layer of the middle and lower parts of the tower were significantly higher than that without wind deflector, but the effect on the drag coefficients of layers above the throat was weak. The peak factors for the windward side, the side and leeward side of the extra-large cooling towers with different wind deflectors were set as 3.29, 3.41 and 3.50, respectively.

Analysis of Factors Influencing the Utilization Rate of Public Health Centers in Korea (한국의 보건소 이용률에 영향을 미치는 요인 분석)

  • Park, Eun-A;Choi, Sung-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.203-215
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    • 2019
  • This study was conducted to identify the utilization of public health centers, as well as the individual characteristics and regional characteristics that affect their utilization based on data from the 2016 Community Health Survey, National Statistical Portal, and National Institute of Environmental Research. Independent samples t-tests, variance analysis, and multiple logistic regression analysis were used for analysis. Hierarchical multiple regression was used to analyze individual and regional characteristics. The results of hierarchical multiple regressions revealed that aged regions, women, older age individuals, respondents with lower education level and income level, walking practitioners, nutrition label readers, individuals experiencing depression, those who have received health checkups, those who are not covered by essential care, those who have spouses, and basic livelihood beneficiaries have increased use of public health centers. However, the use of public health centers decreased in stressors, and regions in which the population per 1,000, number of health care workers, health and welfare budget, fiscal independence, and unemployment rate were above the national average. As above, the central government and local governments need to analyze not only individual characteristics such as health behavior and psychological factors, but also regional characteristics, when establishing local health care policy.