• Title/Summary/Keyword: Two-point correlation

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Effect of the incoherent earthquake motion on responses of seismically isolated nuclear power plant structure

  • Ahmed, Kaiser;Kim, Dookie;Lee, Sang H.
    • Earthquakes and Structures
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    • v.14 no.1
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    • pp.33-44
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    • 2018
  • Base-isolated nuclear power plant (BI-NPP) structures are founded on expanded basemat as a flexible floating nuclear island, are still lacking the recommendation of the consideration of incoherent motion effect. The effect of incoherent earthquake motion on the seismic response of BI-NPP structure has been investigated herein. The incoherency of the ground motions is applied by using an isotropic frequency-dependent spatial correlation function to perform the conditional simulation of the reference design spectrum compatible ground motion in time domain. Time history analysis of two structural models with 486 and 5 equivalent lead plug rubber bearing (LRB) base-isolators have been done under uniform excitation and multiple point excitation. two different cases have been considered: 1) Incoherent motion generated for soft soil and 2) Incoherent motion generated for hard rock soil. The results show that the incoherent motions reduce acceleration and the lateral displacement responses and the reduction is noticeable at soft soil site and higher frequencies.

The study of the relationship between the similarity of cognitive map and the mental workload (인지지도 유사도와 정신적 작업부하와의 관계에 대한 연구)

  • Yu, Seung-Dong;Park, Peom
    • Journal of the Ergonomics Society of Korea
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    • v.21 no.3
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    • pp.47-58
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    • 2002
  • The similarity of shape of shape of interface between human cognitive map and real product is the important factor to determine the human performance. Nevertheless, the degree of similarity between these has not been defined quantitatively in recent studies. Therefore, in this study, the cognitive map and the mental workload were measured by SMM(Sketch Map Method) and RNASA-TLX(Revision of NASA-Task Load Index). And the numerical expression of the accuracy point was suggested for the quantitative calculation of relative positional similarity between cognitive map and real product. In the experiment, nine subjects were participated and two kinds of vehicles were used. Mental workload was mental workload was measured immediately after the road test. The result of analysis on the relationship between accuracy and mental workload shows that the negative correlation exists on each vehicle, and the lower score of mental workloads id measured on the vehicle that has the higher score of accuracy between two vehicles.

A NEW LANDSAT IMAGE CO-REGISTRATION AND OUTLIER REMOVAL TECHNIQUES

  • Kim, Jong-Hong;Heo, Joon;Sohn, Hong-Gyoo
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.594-597
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    • 2006
  • Image co-registration is the process of overlaying two images of the same scene. One of which is a reference image, while the other (sensed image) is geometrically transformed to the one. Numerous methods were developed for the automated image co-registration and it is known as a time-consuming and/or computation-intensive procedure. In order to improve efficiency and effectiveness of the co-registration of satellite imagery, this paper proposes a pre-qualified area matching, which is composed of feature extraction with Laplacian filter and area matching algorithm using correlation coefficient. Moreover, to improve the accuracy of co-registration, the outliers in the initial matching point should be removed. For this, two outlier detection techniques of studentized residual and modified RANSAC algorithm are used in this study. Three pairs of Landsat images were used for performance test, and the results were compared and evaluated in terms of robustness and efficiency.

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Analysis on Luminous Environment and Subjective Image of Two Different Commercial Streets at Night - Focused on View Point of Pedestrian - (야간상업가로의 조명물리량 및 이미지 분석 - 보행자 시점을 기준으로 -)

  • Shin, Ju Young;Kim, Jeong Tai
    • KIEAE Journal
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    • v.7 no.4
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    • pp.31-38
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    • 2007
  • Streetscape plays on important role in urban cities. Characteristics of streets is basically defined by the building facade, signs, plants and paving during the daytime. However at night, street receives a new appearance due to the shop light from the buildings, exterior lightings, signboards and street light, and it creates most of the image of the streets. This study aims to analyze the luminous environment and its subjective image of two different pedestrian's commercial streets. Insa-dong street and Myungdong street were chosen for the study. Horizontal illuminance and luminance on building surface, advertisement billboards and pedestrian road were measured. Thirty students were asked to rate the five scaled questionnaire on their subjective images of the streets. Statistical analysis including profile, correlation and T-test are conducted and some findings are discussed

Assessment of PIV to Measure the Flow Field Over a Fixed Dune Bed (언덕이 있는 하상유동 계측을 통한 PTV기법의 수력학적 적용연구)

  • Hyun B.-S.;Balachandar R.;Patel V. C.
    • Proceedings of the KSME Conference
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    • 2002.08a
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    • pp.217-220
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    • 2002
  • The assessment of PIV to measure the mean velocity and turbulence was carried out over a train of fixed two-dimensional dunes. The agreement between the PIV and LDV is good enough even in regions of flow reversals and high shear. Though limited in the wall normal direction field-of-view, PIV provides instantaneous flow fields, which reveal the complex nature of flow over dunes, as well as more sophisticated analyses such as two-point space correlation and quadrant analysis with a reasonable accuracy.

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Effects of Self Concept on Clinical Competency in Hospital Nurses (병원 간호사의 자아개념이 실무능력에 미치는 영향)

  • Han, Su Jeong
    • Korean Journal of Adult Nursing
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    • v.19 no.2
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    • pp.274-282
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    • 2007
  • Purpose: This study was designed to identify the self concept and clinical competency of nurses in hospitals and to examine the relationship between two concepts. Methods: A questionnaire was used for data collection which was done from July 1 to July 30 in 2005. The respondents were 267 staff nurses in a university hospital and general hospitals in two cities. The instruments were Son's(2002) self concept scale and Lee's(2002) clinical competency scale. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression using SPSS-WIN. Results: The results of this study were summarized as follows: First, the total mean score of self concept was 2.56, and clinical competency was 2.59 on a 4 point scale. Second, the self concept and clinical competency were significantly correlated. Third, the results of multiple regression showed that self concept explained 45.2% of clinical competency. Conclusion: Self concept has a strong influence on clinical competency. Therefore, individualized nursing management strategies and education programs must be developed in order to increase a nurses self concept.

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Comparative measurements of Criteria Pollutants Using DOAS and Conventional In-situ Monitoring Technique at Sung Nam city of Korea

  • Kim, Ki-Hyun;Jin, Byong-Bok
    • Journal of Korean Society for Atmospheric Environment
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    • v.17 no.E4
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    • pp.169-181
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    • 2001
  • To test the compatibility of differential optical absorption spectroscopy (DOAS) and conventional in-situ monitoring technique we conducted a comparative analysis of the two systems using hourly measurement data sets of three criteria pollutants including No$_{2}$O$_{3}$, and SO$_{2}$ collected in months between April and June of 2001 at Sung Man city, Kyung Gi Province, Korea. The results of our comparative analysis were useful to evaluate the various aspects of DOAS performance, of particular the level of agreement with the counterpart method through computation of percent differences and correlation analysis. Interpretation of the mixing ratio data for those chemical species was however confined in terms of explaining the differences affected by the changes in environmental conditions because measurements of important meteorological parameters were limited during most of the study period. Nevertheless, the overall results of this study strongly demonstrated that the mixing ratio of major pollutants measured by the two different systems maintain strong compatibility from various respects.

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A New Landsat Image Co-Registration and Outlier Removal Techniques

  • Kim, Jong-Hong;Heo, Joon;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.22 no.5
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    • pp.439-443
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    • 2006
  • Image co-registration is the process of overlaying two images of the same scene. One of which is a reference image, while the other (sensed image) is geometrically transformed to the one. Numerous methods were developed for the automated image co-registration and it is known as a timeconsuming and/or computation-intensive procedure. In order to improve efficiency and effectiveness of the co-registration of satellite imagery, this paper proposes a pre-qualified area matching, which is composed of feature extraction with Laplacian filter and area matching algorithm using correlation coefficient. Moreover, to improve the accuracy of co-registration, the outliers in the initial matching point should be removed. For this, two outlier detection techniques of studentized residual and modified RANSAC algorithm are used in this study. Three pairs of Landsat images were used for performance test, and the results were compared and evaluated in terms of robustness and efficiency.

Combined Correlation Methods for Multipopulation Metamodel (다분포 대형 시뮬레이션 모형에 대한 결합상관방법)

  • 권치명
    • Journal of the Korea Society for Simulation
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    • v.1 no.1
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    • pp.1-16
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    • 1992
  • This research develops two variance reduction methods for estimating the parameters of the experimental simulation model having multiple design points based on an approach focusing on reduction of the variances of the mean responses across multiple design points. The first method extends a combined approach of antithetic variates and control variates for a single design point to the multipopulation context with independent streams across the design points. The second method extends the same strategy in conjunction with the Schruben-Margolin method for improving the first method. We illustrate an example for implementing the second method. We expect these two approaches may improve the estimation of the parameters of interest compared with the control variates method.

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Big Data Astronomy: Large-scale Graph Analyses of Five Different Multiverses

  • Hong, Sungryong
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.2
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    • pp.36.3-37
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    • 2018
  • By utilizing large-scale graph analytic tools in the modern Big Data platform, Apache Spark, we investigate the topological structures of five different multiverses produced by cosmological n-body simulations with various cosmological initial conditions: (1) one standard universe, (2) two different dark energy states, and (3) two different dark matter densities. For the Big Data calculations, we use a custom build of stand-alone Spark cluster at KIAS and Dataproc Compute Engine in Google Cloud Platform with the sample sizes ranging from 7 millions to 200 millions. Among many graph statistics, we find that three simple graph measurements, denoted by (1) $n_\k$, (2) $\tau_\Delta$, and (3) $n_{S\ge5}$, can efficiently discern different topology in discrete point distributions. We denote this set of three graph diagnostics by kT5+. These kT5+ statistics provide a quick look of various orders of n-points correlation functions in a computationally cheap way: (1) $n = 2$ by $n_k$, (2) $n = 3$ by $\tau_\Delta$, and (3) $n \ge 5$ by $n_{S\ge5}$.

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