• Title/Summary/Keyword: representative sample

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Subjectivity Study on Broadcasting of Civil Defense Exercise in Nation : Focused on Fire-fighting Officers (국가 민방위 훈련 방송에 대한 주관성 연구 : 소방공무원을 중심으로)

  • Lee, Jei-Young;Kim, Jee-Hee
    • Journal of Convergence for Information Technology
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    • v.9 no.12
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    • pp.216-226
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    • 2019
  • The purpose of this study was to provide basic data for developing strategic programs based on broadcasting of civil defense exercise in nation focused on fire-fighting officers. 33 Q-population (concourse) was selected based on the media related literature review described above, and interviews targeting the general public. As the next step representative statements were chosen randomly and reduced in number to a final 25 statement samples for the purposes of this study. The methodology of a Q-study does not infer the characteristics of the population sample from the sample, selecting of the P-sample is likewise not governed probabilistic sampling methods. Finally, in this research, 41 people were selected as the P-sample.

Robust Parameter Estimation using Fuzzy RANSAC (퍼지 RANSAC을 이용한 강건한 인수 예측)

  • Lee Joong-Jae;Jang Hyo-Jong;Kim Gye-Young;Choi Hyung-il
    • Journal of KIISE:Software and Applications
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    • v.33 no.2
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    • pp.252-266
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    • 2006
  • Many problems in computer vision are mainly based on mathematical models. Their optimal solutions can be found by estimating the parameters of each model. However, provided an input data set is involved outliers which are relative]V larger than normal noises, they lead to incorrect results. RANSAC is a representative robust algorithm which is used to resolve the problem. One major problem with RANSAC is that it needs priori knowledge(i.e. a percentage of outliers) of the distribution of data. To solve this problem, we propose a FRANSAC algorithm which improves the rejection rate of outliers and the accuracy of solutions. This is peformed by categorizing all data into good sample set, bad sample set and vague sample set using a fuzzy classification at each iteration and sampling in only good sample set. In the experimental results, we show that the performance of the proposed algorithm when it is applied to the linear regression and the calculation of a homography.

Multi-Dimensional Index of Quality of Life: The Pakistan Case

  • Gilani, Bilal Ijaz;Salman, Rohail
    • Asian Journal for Public Opinion Research
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    • v.2 no.1
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    • pp.32-51
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    • 2014
  • Quality of Life in Pakistan is an understudied and rather unexplored domain. With various definitions and challenges to explaining quality of life, a public opinion poll and scientific surveys have been conducted in order to find out more about the quality of life in Pakistan. Using a nationally representative sample, this paper seeks to identify quality of life measures, find results, and analyze them to see what they mean, specifically in the context of Pakistan.

K-means Clustering using Grid-based Representatives

  • Park, Hee-Chang;Lee, Sun-Myung
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.4
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    • pp.759-768
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    • 2005
  • K-means clustering has been widely used in many applications, such that pattern analysis, data analysis, market research and so on. It can identify dense and sparse regions among data attributes or object attributes. But k-means algorithm requires many hours to get k clusters, because it is more primitive and explorative. In this paper we propose a new method of k-means clustering using the grid-based representative value(arithmetic and trimmed mean) for sample. It is more fast than any traditional clustering method and maintains its accuracy.

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Permeability Characteristics of Sedimented Clayey Soils (점토퇴적지반의 투수특성 연구)

  • Kim Dae-Kyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.6 no.1
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    • pp.72-77
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    • 2005
  • The oedometer test and the constant rate of consolidtion test were performed using the sedimented clayey soil sample. The characteristics of permeability of the clayey soil such as anisotropy, permeability change index, relation with void ratio, and influencing factors, were investigated from the lab. test results. Analyzing the permeability characteristics, the representative permeability coefficient was proposed.

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Combustion Characteristics of Car Components Using Cone-Calorimeter (콘 칼로리미터를 이용한 자동차 구성 요소별 연소 특성 분석)

  • Park, Eun-Young;Park, Duck-Shin
    • Journal of Korean Society for Atmospheric Environment
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    • v.25 no.3
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    • pp.237-247
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    • 2009
  • The combustion characteristics of car components have been investigated, The combustion parameters like heat release rate, smoke production, yield of carbon dioxide and carbon monoxide and mass loss rate were analyzed by cone-calorimeter for representative samples (seat, carpet, headrest, rubber mat, dash board and electric wire) collected from a used car. The results from sample combustion showed that cover and sponge in seat more quickly ignited and flamed than other parts. The heat released from the combustion of dash board sample was 144.29$kw/m^2$ and the smoke produced by the wire combustion was 6896.4 $m^2/m^2$. The yields of carbon dioxide and carbon monoxide were in the ranges of 1.09${\sim}$2.76 kg/kg and 0.0262${\sim}$0.1008 kg/kg, respectively.

Concentration/Purification Technologies: Multi-Functionalities of Nanostructures in Biosensing Fields

  • Son, Sang Jun;Min, Junhong
    • Proceedings of the Korean Vacuum Society Conference
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    • 2013.02a
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    • pp.87-87
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    • 2013
  • Sample concentration and purification processes are essential in the bio-analytical and pharmaceutical fields because most bio samples or media are extremely sophisticated. To concentrate and purify specific substances, passive membrane type filters have been utilized, which is driven by size or charge differences between target and others. The traditional and representative method to identify nucleic acid sequences in the complex biosample is gel electrophoresis, which has been worked by size and net charge of molecules. The adsorption phenomena have been also utilized to concentrate and purify biomolecules. This adsorption of biomolecule can be controlled under specific salts and surfaces as well as surface area. To utilize the differences of physical properties of molecules or bio-targets such as virus, bacteria, and cells, the nanotechnologies can be introduced in target concentration, purification, and isolation processes. In here, I'd like to briefly survey typical examples of nanobiotechnologies which are introduced in sample treatment. Also I specifically demonstrate two different simple techniques to concentrate and detect bacteria from the samples using multifunctional silica nanotube (SNT).

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A Study on Feature Information Parsing System of Video Image for Multimedia Service (멀티미디어 서비스를 위한 동영상 이미지의 특징정보 분석 시스템에 관한 연구)

  • 이창수;지정규
    • Journal of Information Technology Applications and Management
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    • v.9 no.3
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    • pp.1-12
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    • 2002
  • Due to the fast development in computer and communication technologies, a video is now being more widely used than ever in many areas. The current information analyzing systems are originally built to process text-based data. Thus, it has little bits problems when it needs to correctly represent the ambiguity of a video, when it has to process a large amount of comments, or when it lacks the objectivity that the jobs require. We would like to purpose an algorithm that is capable of analyze a large amount of video efficiently. In a video, divided areas use a region growing and region merging techniques. To sample the color, we translate the color from RGB to HSI and use the information that matches with the representative colors. To sample the shape information, we use improved moment invariants(IMI) so that we can solve many problems of histogram intersection caused by current IMI and Jain. Sampled information on characteristics of the streaming media will be used to find similar frames.

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Revisiting the virial factor with the updated $M_{BH}-{\sigma}_*$ relation

  • Park, Dae-Seong;Woo, Jong-Hak
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.1
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    • pp.35.1-35.1
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    • 2012
  • Determining the virial factor of the broad-line region (BLR) gas is crucial in calibrating AGN black hole mass estimators, since the measured line-of-sight velocity needs to be converted into the representative velocity of the BLR gas. The unknown virial factor has been empirically calibrated based on the $M_{BH}-{\sigma}_*$ relation of non-AGN galaxies, but the claimed values are different by a factor of 2 in recent studies. We investigate the origin of the difference by measuring the $M_{BH}-{\sigma}_*$ relation using the most updated nearby galaxy sample, and explore the dependence of the virial factor on the various fitting methods. We find that the discrepancy is mostly caused by the sample bias while the difference stemming from various regression methods is marginal. Based on the best-determined virial factor, we present the updated $M_{BH}-{\sigma}_*$ relation of local active galaxies.

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A Sampling Design for Health Index Survey

  • Ryu, Jea-Bok;Lee, Kay-O;Kim, Young-Won
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.565-576
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    • 2002
  • We propose a new sampling design for the 2001 Health Index Survey at Seoul. In this stratified two-stage sampling design, the ED(enumeration district) of 2000 Population and Housing Census is used as primary sampling unit and the Gu is used as stratification variable in order to obtain the sub-domain estimate for 25 Gu's as well as population estimate for Seoul. The sample ED's are systematically selected after the Ed's are ordered by location and property to obtain a representative sample. And also, the imputation methods for item nonresponses are suggested.