• Journal of the Korean Data and Information Science Society
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• 제25권1호
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• pp.11-18
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• 2014

연구의 목적은 인터넷 설문조사에서 자료의 정확성을 데이터베이스의 자료와 설문조사 자료의 비교를 통해 검정하는 것이다. 설문조사는 2012년 8월 한국과학기술정보연구원의 NDSL 원문이용자를 대상으로 실시하였으며, 검증에 이용된 변수는 나이, 소속기관의 인구통계적 변수와 이용빈도, 이용기간의 행동 변수이다 1차 검정결과 불일치 비율은 나이가 7.5%, 소속기관 15%, 이용빈도 92%, 이용기간 55%로 높게 나타났다. 상세검정을 통해 나이에 대한 불일치 비율을 비관적으로 3%, 낙관적으로 1%로, 소속기관에 대한 불일치 비율을 비관적으로 4.5%, 낙관적으로 2%로 추정할 수 있었다. 불일치비율을 1/4 이하로 대폭 축소시켰다. 이용빈도와 이용기간은 측정오차와 응답자의 기억력 문제, 인터넷 이용행태 등으로 불일치 비율이 높게 나타났다. 이러한 현상은 전통적 설문조사에도 간접적으로 적용될 수 있을 것이다. 본 연구의 결과는 인터넷 설문조사가 믿을만한 자료라는 점을 시사하고 있으며, 보다 정확한 검증을 위해 많은 후속 연구가 필요하다.

• 디지털융복합연구
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• 제8권3호
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• pp.129-141
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• 2010

인터넷 서베이는 off-line 설문조사에 비하여 여러 가지 장점이 있으나, 그럼에도 불구하고 샘플링 오차, 인터넷 환경이 가져오는 설문상황에 따른 신뢰성 등의 중요한 고려사항이 발생한다. 특히 이러한 인터넷 환경이 야기하는 외부변수들을 통제하지 못하는 한, 인터넷을 통한 여러 사회연구는 그 적용가능성에 큰 허점을 나타낸다. 이같은 인터넷 설문조사의 단점을 보완하기 위해 본 논문은 리서처에게 다양한 옵션을 가능하게 하고, 사용자 환경을 컨트롤하는 시스템을 설계 구축하였으며, 특히 데이터 품질향상을 위한 대안적인 노력을 하였다. 본 연구의 결과 인터넷 설문조사는 그 응답품질이 매우 향상될 것으로 기대된다.

• 지구물리와물리탐사
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• 제27권1호
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• pp.69-83
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• 2024

사용후핵연료 심층처분 부지조사는 그 중요성과 특수성을 고려할 때, 터널, 교량 등과 같은 일반적인 지반조사와는 달리 높은 수준의 품질관리가 요구된다. 본 논문에서는 단계별 부지조사에 적용할 물리탐사 기법을 선정하고, 탐사방법별 물리탐사 수행지침서를 작성한 사례를 소개하고자 한다. 물리탐사 수행지침서는 탐사계획, 자료획득, 자료처리 및 해석의 수행 절차와 고려사항 및 품질관리에 대한 내용이 포함되어 있으며, 이 중 항공전자탐사와 탄성파 반사법탐사 내용을 간략히 정리하였다.

• Journal of the Korean Data and Information Science Society
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• 제16권3호
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• pp.557-566
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• 2005

Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper we used k-means clustering of several clustering techniques. The k-means Clustering Is classified as a partitional clustering method. We analyze 2002 Gyeongnam social indicator survey data using k-means clustering techniques for environmental information. We can use these outputs given by k-means clustering for environmental preservation and environmental improvement.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2005년도 춘계학술대회
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• pp.185-192
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• 2005

There are many data mining techniques such as association rule, decision tree, neural network analysis, clustering, genetic algorithm, bayesian network, memory-based reasoning, etc. We analyze 2003 Gyeongnam social indicator survey data using k-means clustering technique for environmental information. Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper, we used k-means clustering of several clustering techniques. The k-means clustering is classified as a partitional clustering method. We can apply k-means clustering outputs to environmental preservation and environmental improvement.

• Journal of the Korean Data and Information Science Society
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• 제28권2호
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• pp.443-449
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• 2017

Estimation of population proportion like the distribution rate of LED TV and the prevalence of a disease are often estimated based on survey sample data. Population proportion is generally considered as a special form of population mean. In complex sampling like stratified multistage sampling with unequal probability sampling, the denominator of mean may be random variable and it is estimated like ratio estimator. In this research, we examined the estimation of distribution rate based on stratified multistage sampling, and determined some numerical outcomes using stratified random sample data with about 25% of missing observations. In the data used for this research, the survey weight was determined by deterministic way. So, the weights are not random variable, and the population distribution rate and its variance estimator can be estimated like population mean estimation. When the weights are not random variable, if one estimates the variance of proportion estimator using ratio method, then the variances may be inflated. Therefore, in estimating variance for population proportion, we need to examine the structure of data and survey design before making any decision for estimation methods.

• Journal of Preventive Medicine and Public Health
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• 제31권4호
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• pp.875-884
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• 1998

Missing observations are common in medical research and health survey research. Several statistical methods to handle the missing data problem have been proposed. The EM algorithm (Expectation-Maximization algorithm) is one of the ways of efficiently handling the missing data problem based on sufficient statistics. In this paper, we developed statistical models and methods for survey data with multivariate missing observations. Especially, we adopted the EM algorithm to handle the multivariate missing observations. We assume that the multivariate observations follow a multivariate normal distribution, where the mean vector and the covariance matrix are primarily of interest. We applied the proposed statistical method to analyze data from a health survey. The data set we used came from a physician survey on Resource-Based Relative Value Scale(RBRVS). In addition to the EM algorithm, we applied the complete case analysis, which uses only completely observed cases, and the available case analysis, which utilizes all available information. The residual and normal probability plots were evaluated to access the assumption of normality. We found that the residual sum of squares from the EM algorithm was smaller than those of the complete-case and the available-case analyses.

• 한국항행학회논문지
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• 제18권6호
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• pp.555-561
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• 2014

위성항법시스템의 활용이 증가함에 따라 다양한 자료처리 서비스가 개발되고 있다. 특히 인터넷을 이용한 자료처리 서비스는 사용자가 손쉽게 정확도 높은 자료처리 결과를 얻을 수 있도록 도와준다. 온라인 자료처리 시스템은 전 세계의 여러 연구기관과 국가에서 개발되어 운영되고 있지만 국내 활용이 제한적이다. 이 연구에서는 일반적인 GNSS 후처리 뿐만 아니라, 지적 측량에도 활용 가능한 온라인 자료처리 시스템을 개발하였다. 이 연구에서 개발한 시스템은 국토지리정보원 SUWN을 기준으로 좌표를 산출하며, GIPSY-OASIS의 정밀자료처리(PPP) 기법을 사용한다. 현재시스템은 사용자가 프로그램을 통해 좌표를 산출하고자 하는 관측자료를 FTP를 통해 공간정보연구원의 데이터처리 서버로 업로드하면, 서버에서 자동으로 좌표를 계산하여 유저에게 이메일로 자료처리 결과를 전송한다. 결과검증을 위해 국토지리정보원 상시관측소 고시좌표와 비교한 결과 동서방향으로 약 1.4 cm, 남북방향 -1.0 cm, 수직방향 0.5 cm의 차이를 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5179-5202
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• 2018

Transmission Control Protocol (TCP) is the most widely used protocol in the cloud data centers today. However, cloud data centers using TCP experience many issues as TCP was designed based on the assumption that it would primarily be used in Wide Area Networks (WANs). One of the major issues with TCP in the cloud data centers is the Incast issue. This issue arises because of the many-to-one communication pattern that commonly exists in the modern cloud data centers. In many-to-one communication pattern, multiple senders simultaneously send data to a single receiver. This causes packet loss at the switch buffer which results in TCP throughput collapse that leads to high Flow Completion Time (FCT). Recently, Software-Defined Networking (SDN) has been used by many researchers to mitigate the Incast issue. In this paper, a detailed survey of various SDN based solutions to the Incast issue is carried out. In this survey, various SDN based solutions are classified into four categories i.e. TCP Receive Window based solutions, Tuning TCP Parameters based solutions, Quick Recovery based solutions and Application Layer based solutions. All the solutions are critically evaluated in terms of their principles, advantages, and shortcomings. Another important feature of this survey is to compare various SDN based solutions with respect to different performance metrics e.g. maximum number of concurrent senders supported, calculation of delay at the controller etc. These performance metrics are important for deployment of any SDN based solution in modern cloud data centers. In addition, future research directions are also discussed in this survey that can be explored to design and develop better SDN based solutions to the Incast issue.

• 로봇학회논문지
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• 제4권1호
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• pp.10-16
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• 2009

This paper is concerned with Korean students' attitudes towards robots, presenting two survey studies. The first study was concerned with a group of college students, taking the perspective of international comparison. Data were collected by administering an online survey, where 106 volunteer students had participated. In the survey, the Negative Attitude towards Robot Scale(NARS) was adopted to compare the Korean students' scores with those of multi-national groups (U.S.A, Germany, Netherland, Japan, Mexico, and China) who responded to the same scale in Bartneck et al.'s research. The analysis of the data reveals that Korean students tend to be more concerned about social impacts that robots might bring to future society and are very conscious about the uncertain influences of robots on human life. The second study investigated factors that may affect K-12 students' attitudes towards robots, with survey data garnered from 298 elementary, middle, and high school students. The data were analyzed by the method of multiple regression analysis to test the hypothesis that a student's gender, age, the extent of interest in robots, and the extent of experiences with robots may influence his or her attitude towards robots. The hypothesis was partially supported in that variables of a student's gender, age, and the extent of interest in robots were statistically significant with regard to the attitude variable. Given the results, this paper suggests three points of discussions to better understand Korean students' attitudes towards robots: social and cultural context, individual differences, and theory of mind.