• Title/Summary/Keyword: Higher-order statistics

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A Study on the Effects of Flow on Customer Purchase Intention in Internet Shopping Malls (인터넷쇼핑몰에서 Flow가 소비자 구매의도에 미치는 영향에 관한 연구)

  • 안운석;박종원
    • Journal of Korean Society for Quality Management
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    • v.32 no.2
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    • pp.24-36
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    • 2004
  • In order for electronic commerce to be successful, it must have a theoretical framework that considers the characteristics of the internet user who are consumers in the cyber space and impacts their purchase intentions. We were able to obtain participations of 316 people, and derived statistics by means of SPSS/PC version 10.0 and Amos 4.0 statistics package. We found that, the higher the degree of skill and the sense of challenge, the level of involvement and perceived service quality increased. And the degree of skill has a negative influence on awareness of perceived risk than the sense of challenge. Perceived service quality, perceived risk and involvement has a influence on purchase intentions.

Translation method: a historical review and its application to simulation of non-Gaussian stationary processes

  • Choi, Hang;Kanda, Jun
    • Wind and Structures
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    • v.6 no.5
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    • pp.357-386
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    • 2003
  • A number of methods based on various ideas have been proposed for simulating the non-Gaussian stationary process. However, these methods have some limitations. This paper reviewed several simulation methods based on the translation method using logarithmic and polynomial functions, which have emerged in the history of statistics and in the field of civil engineering. The applicability of each method is discussed from the viewpoint of the reproducibility of higher order statistics of the object function in the simulated sample functions, and examined using pressure signals measured from wind tunnel experiments for various shapes of buildings. The parameter estimation methods, i.e. the method of moments and quantile plot, are also reviewed, and the useful aspects of each method are discussed. Additionally, a simple worksheet for parameter estimation is derived based on the method of moment for practical application, and the accuracy is discussed comparing with a set of previously proposed formulae.

Iris recognition System using Higher Order Local Autocorrelation Features and Back-propagation (고차 국소 자동 상관계수 특징과 신경망을 이용한 홍채 인식 시스템)

  • Jeong, Yu-Jeong;Jung, Chai-Yeoung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.579-582
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    • 2003
  • 생체인식을 통한 개인 식별은 새로이 등장한 개념이 아니라 오래 전부터 사용되어왔으나 기존의 화상처리 방법으로는 불필요한 정보까지 포함하여 특징을 추출하여 많은 시간이 소용된다는 문제점이 있었다. 본 논문에서 적용한 고차 국소 자동 상관계수 특징 알고리즘을 이용하여 홍채병변 인식의 수렴속도를 빠르게 하는 신경망을 사용하였으며, 고차 국소 자동 상관계수 특징 알고리즘은 평균 32.5회때 수렴 평균 31.5회때 수렴하였고, 일반 BP 알고리즘은 평균 720.3회때 수렴함과 병변 추출면에서 훨씬 우수함을 보였다.

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Graph Database Solution for Higher Order Spatial Statistics in the Era of Big Data

  • Sabiu, Cristiano G.;Kim, Juhan
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.79.1-79.1
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    • 2019
  • We present an algorithm for the fast computation of the general N-point spatial correlation functions of any discrete point set embedded within an Euclidean space of ${\mathbb{R}}n$. Utilizing the concepts of kd-trees and graph databases, we describe how to count all possible N-tuples in binned configurations within a given length scale, e.g. all pairs of points or all triplets of points with side lengths < rmax. Through benchmarking we show the computational advantage of our new graph-based algorithm over more traditional methods. We show that all 3-point configurations up to and beyond the Baryon Acoustic Oscillation scale (~200 Mpc in physical units) can be performed on current Sloan Digital Sky Survey (SDSS) data in reasonable time. Finally we present the first measurements of the 4-point correlation function of ~0.5 million SDSS galaxies over the redshift range 0.43< z <0.7. We present the publicly available code GRAMSCI (GRAph Made Statistics for Cosmological Information; bitbucket.org/csabiu/gramsci), under a GNU General Public License.

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Bioequivalence trial with two generic drugs in 2 × 3 crossover design with missing data

  • Park, Sang-Gue;Kim, Seunghyo;Choi, Ikjoon
    • Communications for Statistical Applications and Methods
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    • v.27 no.6
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    • pp.641-647
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    • 2020
  • The 2 × 3 crossover design, a modified version of the 3 × 3 crossover design, is considered to compare the bioavailability of two generic candidates with a reference drug. The 2 × 3 crossover design is more economically favorable due to decrease in the number of sequences, rather than conducting a 3×3 crossover trial or two separate 2 × 2 crossover trials. However, when using a higher-order crossover trial, the risk of drop-outs and withdrawals of subjects increases, so the suitable statistical inferences for missing data is needed. The bioequivalence model of a of 2×3 crossover trial with missing data is defined and the statistical procedures of assessing bioequivalence is proposed. An illustrated example of the 2 × 3 trial with missing data is also presented with discussion.

A Study on Factors Effecting the Hair Care of Female University Students (여대생의 모발건강관리행위에 영향을 미치는 요인에 관한 연구)

  • Cho, Sung-Sun;Moon, In-Ok
    • The Journal of Korean Society for School & Community Health Education
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    • v.3
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    • pp.1-13
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    • 2002
  • Female university students generally have a lower intake of nutrition compared to other age groups due to their adverse interests in their appearance. Drinking, smoking, too much weight control, accumulation of psychological and physical stress are causes of inadequate diet. The result is deterioration of hair health. Establishment of good diet and hair care is the foundation of a healthy hair in adulthood. For this reason, there is a great need for a healthy hair care. The data from a questionnaire survey was analyzed with 800 female undergraduate students responding. Seventeen universities were included in the study, 8 of which were from Seoul, 6 from other large cities and 3 from smaller towns. The objective of this study is to investigate the correlations of these factors and to provide preliminary data for developing an effective hair care education program. Results include the following: 1. Knowledge score of hair care based on general characteristics were higher for students in larger cites compare to small cites or regions. Also, students in higher academic year, more allowance, interest in their apparence and family income showed higher knowledge in this field. These factors had meaningful effect on the statistics of this study. 2. Attitude score towards hair care based on general characteristics were higher for students in larger cites compare to small cites or regions. Also, students in higher academic year, more allowance, interest in their apparence and family income showed higher knowledge in this field. These factors had meaningful effect on the statistics of this study. 3. Behavior score towards hair care was higher for students with greater family income, allowance, interest in appearance. These factors had meaningful effect on the statistics of this study. 4. The correlation study between knowledge, attitude and behavior showed that higher the knowledge and attitude, better the behavior. 5. The analysis of factors effecting hair care behavior showed that interest in health, acknowledgement of current hair condition, total family income were a viable factor in predicting hair care behavior. The predictability of regression model is 38.9 %($R^2$) Therefore, in order to maximize the hair care behavior, consistent and systematic study should be earned out to develope an effective education program to improve health interest.

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Design of Case-based Intelligent Wheelchair Monitoring System

  • Kim, Tae Yeun;Seo, Dae Woong;Bae, Sang Hyun
    • Journal of Integrative Natural Science
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    • v.10 no.3
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    • pp.162-170
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    • 2017
  • In this paper, it is aim to implement a wheelchair monitoring system that provides users with customized medical services easily in everyday life, together with mobility guarantee, which is the most basic requirement of the elderly and disabled persons with physical disabilities. The case-based intelligent wheelchair monitoring system proposed in this study is based on a case-based k-NN algorithm, which implements a system for constructing and inferring examples of various biometric and environmental information of wheelchair users as a knowledge database and a monitoring interface for wheelchair users. In order to confirm the usefulness of the case-based k-NN algorithm, the SVM algorithm showed an average accuracy of 84.2% and the average accuracy of the proposed case-based k-NN algorithm was 86.2% And showed higher performance in terms of accuracy. The system implemented in this paper has the advantage of measuring biometric information and data communication regardless of time and place and it can provide customized service of wheelchair user through user friendly interface.

Effects of Socio-demographic Factors on the Decreasing Trend in the Sex Ratio at Birth in Korea, 1997-2017

  • Bae, Jisuk
    • Journal of Preventive Medicine and Public Health
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    • v.53 no.5
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    • pp.371-380
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    • 2020
  • Objectives: This study investigated the effects of socio-demographic factors on the decreasing trend in the sex ratio at birth from 1997 to 2017 in Korea. Methods: Data from 10 349 602 live births registered with Statistics Korea from 1997 to 2017 were analyzed. The secondary sex ratio (SSR), defined as the ratio of male to female live births, during the study period (1997-1999 [phase I], 2000-2002 [phase II], 2003-2005 [phase III], 2006-2008 [phase IV], 2009-2011 [phase V], 2012-2014 [phase VI], and 2015-2017 [phase VII]) was calculated according to selected socio-demographic factors, such as parental age, education, occupation, and birth order. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals for a male birth after adjusting for potential confounders. Results: The SSR gradually decreased from 1.10 (in 1998-2000 and 2002) to 1.05 (in 2013-2016). While a decreasing trend in the SSR was not noted among first births, male-biased sex ratios were prominent among third and higher-order births, for which the highest SSR was 1.46 in 1998. Higher birth order was significantly associated with an excess of male births in phases I-VI (≥third vs. first, OR range, 1.03 to 1.35). Advanced maternal age was significantly associated with an excess of female births in phases II, III, and V (≥40 vs. 20-24 years, OR range, 0.92 to 0.95). Conclusions: This study demonstrated that advanced maternal age and reduction of the artificially-biased SSR among third and higher-order births may partially explain the decreasing trend in the SSR from 1997 to 2017 in Korea.

A Study on the Oral Halth Care of Children with Disabilites Recognition (장애아동 보호자의 구강건강관리 인식)

  • Bae, Hyun-Sook
    • Journal of dental hygiene science
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    • v.7 no.2
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    • pp.81-87
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    • 2007
  • This study, taking the children with a disorder as the subject, has an object of making an comparative analysis on the dental status according to a degree of recognition on dental hygiene and to the actional factors of home dental hygiene to search for its improving measure. As its analytical method, with the use of SPSS, I used a cross analysis and percentage to take statistics on them. 1.The higher educational level a child with a mental order has, the higher frequency of brushing teeth he(she) has. And then the higher monthly income resulted in the higher frequency of brushing teeth. 2. In a teeth inspection according to the times of snack-eating of a child with a mental disorder, there was a statistics that according to whether the child's mother has a job or not, the times of snack-eating is different. 3.In analyzing the importance of the education of dental hygiene according to the parents' social characteristics, he answered to participate in an educational program for dental hygiene.

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Nonlinear Modeling of Super-RENS System Using a Neural Networks (신경망을 이용한 Super-RENS 시스템의 비선형 모델링)

  • Seo, Man-Jung;Im, Sung-Bin;Lee, Jae-Jin
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.3
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    • pp.53-60
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    • 2008
  • Recently, various recording technologies are studied for optical data storage. After standardization of BD (Blue-ray Disc) and HD-DVD (High-Definition Digital Versatile Disc), the industry is looking for a suitable technology for next generation optical data storage. Super-RENS (Super-resolution near field structure) technique, which is capable of compatibility with other systems, is one of next optical data storage. In this paper, we analyze the nonlinearity of Super-RENS read-out signal through the bicoherence test, which uses HOS (Higher-Order Statistics) and apply neural networks for nonlinear modeling. The model structure considered in this paper is the NARX (Nonlinear AutoRegressive eXogenous) model. The experiment results indicate that the read-out signals have nonlinear characteristics. In addition, it verified the possibility that neural networks can be utilized for nonlinear modeling of Super-RENS systems.