• Title/Summary/Keyword: 샘플 통계

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A study on factors that affect service quality of SNS based commerce (SNS에 기반을 둔 전자상거래의 서비스 품질에 영향을 미치는 요인에 대한 연구)

  • Choi, Jung-Woon;Lee, Ook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.125-138
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    • 2020
  • Currently, the e-commerce market in Korea is growing rapidly, particularly in online commerce, and transactions through SNS are constantly increasing. This study assessed the quality of service based on SNS by modifying and combining SNS-based applications and services. Two hundred and sixteen surveys from an online survey conducted using a cumulative sampling technique were analyzed. The confidence, empathy, responsiveness, reliability, perceived usefulness, and customer satisfaction were independent variables. The perceived usefulness, customer satisfaction, and net profit were considered dependent variables. The results of 11 hypotheses were derived through SPSS 25. The results show that the perceived usefulness and customer satisfaction are affected by assurance, empathy, responsiveness, and reliability. In addition, SNS - based commerces show a significant relationship between perceived usefulness, customer satisfaction, and net benefits. The significant results are expected to help in future related research.

A Study on User's Value Consciousness toward Products and Patterns of Design Evaluation (제품에 대한 사용자의 가치의식에 따른 디자인 평가의 유형에 관한 연구)

  • Shong, Chang-Ho;Choi, Myoung-Sik
    • Archives of design research
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    • v.19 no.5 s.67
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    • pp.255-268
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    • 2006
  • This study raised a question about 'how user's psychological value consciousness influences design evaluation and evaluated 14 product samples. Three main categories were chosen to be analyzed; product evaluation by step, value consciousness toward products, and creation of shape image and design evaluation. In order to obtain results, four research hypotheses were established a and case study was conducted as part of 'conclusive research' for verification. 120 university students in their 20s majoring in product design were chosen as testees in a bid to increase the accuracy of data. With data collected, the whole flow was analyzed by simple tabulation and further analysis was carried out in three evaluation items. An analysis method was mainly quantitative, focusing on multivariate analysis like factor analysis, cluster analysis, etc. The empirical analysis of this study was verified at P<.05 significance level and SPSSWIN 12.0 program was used for statistic process. As a result, four conclusions were gained regarding 'user's value consciousness toward products and pattern of design evaluation'.

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The State and Trend of Digital Signage Research in Korea (한국 디지털 사이니지 연구의 어제와 오늘: 연구 추세와 미래 연구 제안)

  • Yoo, Seung-Chul;Min, Jeewon;Hwang, Hye-Hyung
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.745-757
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    • 2016
  • The objective of this study is to understand and give an overview regarding research trends in digital signage in Korea, which has recently received significant attention from the media market. For the past 10 years, from 2006 to 2016, 69 studies related to digital signage were found. Following the coding guidelines, the present study conducted a content analysis on the published peer-reviewed journals in Korea including their published year, each journal's number of compilations, journal ratings, number of researchers and their major, field of research, research medium, research method, research samples, and the applied statistical analysis. Through the analyzed results, we found out that there are numerous studies on digital signage in various fields of study, including media content. A number of case studies and experimental studies were made. However, theoretical research on digital signage was still found to be insufficient. Lastly, a wider variety of theories are suggested to be applied in future study along with conducting joint research with cooperation between industry partners and academics in order to further advance the research on digital signage.

Measurement of Backscattering Coefficients of Rice Canopy using a Polarimetric Scatterometer System (Polarimetric Scatterometer 시스템을 이용한 벼 군락의 후방산란계수 측정)

  • Hong, Suk-Young;Hong, Jin-Young;Kim, Yi-Hyun;Oh, Yi-Sok
    • Proceedings of the KSRS Conference
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    • 2007.03a
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    • pp.153-157
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    • 2007
  • 본 논문은 지표면 현상의 관측에 날씨의 영향을 거의 받지 않는 마이크로파 L-밴드(1.95 GHz)와 C-밴드(5.3 GHz) scatterometer 시스템을 이용하여 농업과학기술원 내의 논에서 자라는 추청벼를 대상으로 2006년 5월 29일부터 10월 9일까지 생육에 따른 군락의 후방산란계수를 관측한 데이터와 작물의 생육과의 관계를 살펴보고 또한,측정 시스템의 개요,측정 시스템의 보정 방법들을 기술하고자 한다. Scatterometer 시스템의 송 수신기로 HP 8753D 벡터 네트워크 분석기를 사용하며,타워 위에 안테나를 설치하여 3.4 m의 높이에서 측정하도록 하였다. L-밴 드와 C-밴드 scatterometer는 VV-, VH-, HV-, HH-편파를 측정하여 fully polarimetric한 데이터를 얻도록 설계된 레이더시스템으로 입사각을 $30^{\circ}{\sim}60^{\circ}$에서 $10^{\circ}$간격으로 각각 30개의 독립적인 샘플을 측정하여 통계적으로 후방산란계수를 얻었다. 타워에서 발생하는 전파 잡음과 안테나 패턴의 부엽에 의한 지면에서의 수직반사(coherent 성분) 전파를 제거하기 위해 네트워크 분석기의 time gating 기능을 사용하며,55 cm 크기의 trihedral 전파반사기를 보정용 반사기로 사용하고, STCT(single target calibration technique) 방법을 이용하여 시스템을 보정하였다. 측정 결과를 분석하여 주파수, 입사각도, 편파의 변화에 대한 벼의 후방산란 특성과 벼의 생육상태과의 관계를 살펴보았다. L-밴드와 C-밴드 모두 벼의 생육과 밀접한 결과를 나타내었으나,입사각이 작을 때는 C-밴드와의 상관이 높게 나타났고 입사각이 커질수록 L-밴드와의 상관이 높게 나타났다. 편파는 L-밴드 와 C-밴드 모두 hh 편파가,입사각은 50도에서 가장 생육의 변이를 잘 설명하는 것으로 나타났다. 생육 데이터 모두를 이용한 경우보다는 유수형성기 또는 출수기 등 벼 생육의 질적인 변화를 보이는 시기에 따라 나누어 분석하는 것이 변화추이를 더 잘 설명하는 것으로 나타났다.

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Position Estimation of MBK system for non-Gaussian Underwater Sensor Networks (비가우시안 노이즈가 존재하는 수중 환경에서 MBK 시스템의 위치 추정)

  • Lee, Dae-Hee;Yang, Yeon-Mo;Huh, Kyung Moo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.1
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    • pp.232-238
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    • 2013
  • This paper study the position estimation of MBK system according to the non-linear filter for non-Gaussian noise in underwater sensor networks. In the filter to estimate location, recently, the extended Kalman filter (EKF) and particle filter are getting attention. EKF is widely used due to the best algorithm in the Gaussian noise environment, but has many restrictions on the usage in non-Gaussian noise environment such as in underwater. In this paper, we propose the improved One-Dimension Particle Filter (ODPF) using the distribution re-interpretation techniques based on the maximum likelihood. Through the simulation, we compared and analyzed the proposed particle filter with the EKF in non-Gaussian underwater sensor networks. In the case of both the sufficient statistical sample and the sufficient calculation capacity, we confirm that the ODPF's result shows more accurate localization than EKF's result.

A Study on Bodyblade Training of Convergency Relation of Trunk Muscles Activity and Pain in Patients with Low Back Pain (요통환자의 체간근 활성도 및 통증과 Bodyblade 훈련의 융합관계에 관한 연구)

  • Park, Chi-Bok;Jung, Enu-Ho;Lee, Ho-Shik
    • Journal of the Korea Convergence Society
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    • v.8 no.11
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    • pp.123-131
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    • 2017
  • The purpose of this study was to investigate the effect of bodyblade training on pain and trunk muscle activity in patients with chronic low back pain. A sample of 30 subjects were recruited for this study. Bodyblade training group(n=10) was performed bodyblade training three times a week for six weeks, lumbar stabilization training group(n=10) was performed lumbar stabilization training three times a week for six weeks, and control group(n=10) wasn't performed any other training. For evaluation of trunk muscle activity, surface EMG was used and for evaluation of pain, VAS was measured. The results were as follows: trunk muscle activity, there was significant difference according to the measurement, pain, there was significant difference according to the measurement. From the results, bodyblade training is expected to be an effective intervention for patients with chronic back pain.

On the Annual Change of Surface Wind at Seocheon, Korea (서천지방의 지상풍 연변화에 관하여)

  • 문승의;김백조
    • Journal of Environmental Science International
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    • v.7 no.3
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    • pp.375-382
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    • 1998
  • The characteristics of the basic statistics and steadiness of wind and the monthly normality test of surface wind distribution are investigated by using the observed wind data compiled from 10m meteorological observation tower at Seocheon district, where is located In the western coastal region of Korea. during the period from Feb. 7, 1996 to Feb. 7 1997 The northerly is appeared to be even in August and Sepember due to the influences of loccal circulation such as land and sea breeze. The correlation coefacients between two wind components are seemed to be positive during the in the period of from June to September and negative from October to April, respectively The constancy of wand Is high In shifts to lower values Increasing sampling time. It is found from monthly normality test based on the skewness and the excess of kurtosis coefficients that the distribution of zonal wind component is normal In spring and meridional one Is normal in late summer and early autumn.

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A Geostatistical Study Using Qualitative Information for Tunnel Rock Binary Classificationll- II. Applcation (이분적 터널 암반 분류를 위한 정성적 자료의 지구통계학적 연구 II. 응용)

  • 유광호
    • Geotechnical Engineering
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    • v.10 no.1
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    • pp.19-26
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    • 1994
  • In this paper, the application of the rock classification method based on indicator kriging and the cost of errors, which can incorporate qualitative data, was presented. In particular, the binary classification of rock masses was considered. To this end, a simplified RMR system was used. Since most of subjectivity in this analysis occur during the estimation of loss functions, a sensitivity analysis of loss functions was performed. Through this research, it was found out that an expected cost of errors could successfully be used as an indication for how well a sampling plan was designed. In certain conditions, qualitative data can be more economical than quantitative data in terms of expected costs of errors and sampling costs. Therefore, an additional sampling should be carefully determined depending upon the surrounding geologic conditions and its sampling cost. The application method shown in this paper can be useful for more systematic rock classifications.

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Project Failure Main Factors Analysis using Text Mining in Audit Evaluation (감리결과에 텍스트마이닝 기법을 적용한 프로젝트 실패 주요요인 분석)

  • Jang, Kyoungae;Jang, Seong Yong;Kim, Woo-Je
    • Journal of KIISE
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    • v.42 no.4
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    • pp.468-474
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    • 2015
  • Corporations should make efforts to recognize the importance of projects, identify their failure factors, prevent risks in advance, and raise the success rates, because the corporations need to make quick responses to rapid external changes. There are some previous studies on success and failure factors of projects, however, most of them have limitations in terms of objectivity and quantitative analysis based on data gathering through surveys, statistical sampling and analysis. This study analyzes the failure factors of projects based on data mining to find problems with projects in an audit report, which is an objective project evaluation report. To do this, we identified the texts in the paragraph of suggestions about improvement. We made use of the superior classification algorithms in this study, which were NaiveBayes, SMO and J48. They were evaluated in terms of data of Recall and Precision after performing 10-fold-cross validation. In the identified texts, the failure factors of projects were analyzed so that they could be utilized in project implementation.

A Study on Bayesian Approach of Software Stochastic Reliability Superposition Model using General Order Statistics (일반 순서 통계량을 이용한 소프트웨어 신뢰확률 중첩모형에 관한 베이지안 접근에 관한 연구)

  • Lee, Byeong-Su;Kim, Hui-Cheol;Baek, Su-Gi;Jeong, Gwan-Hui;Yun, Ju-Yong
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.8
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    • pp.2060-2071
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    • 1999
  • The complicate software failure system is defined to the superposition of the points of failure from several component point process. Because the likelihood function is difficulty in computing, we consider Gibbs sampler using iteration sampling based method. For each observed failure epoch, we applied to latent variables that indicates with component of the superposition mode. For model selection, we explored the posterior Bayesian criterion and the sum of relative errors for the comparison simple pattern with superposition model. A numerical example with NHPP simulated data set applies the thinning method proposed by Lewis and Shedler[25] is given, we consider Goel-Okumoto model and Weibull model with GOS, inference of parameter is studied. Using the posterior Bayesian criterion and the sum of relative errors, as we would expect, the superposition model is best on model under diffuse priors.

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