• Title/Summary/Keyword: sample unit

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An Architectural Proposal of Nursing Home by Remodeling a Closed School (폐교의 리모델링을 통한 유료노인전문요양시설 건축제안)

  • Moon Chang-Ho;An Jong-Lak
    • Journal of the Korean housing association
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    • v.16 no.5
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    • pp.83-90
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    • 2005
  • This study aimed to examine the possibility of remodeled nursing home utilizing a closed school in Kunsan, where the number of closed schools increases and the ratio of elderly population grows. Major contents of research were understanding architectural characteristics of closed school and elderly housing in the sample area, and a suggestion of remodeling a closed school into nursing home. Conclusions can be summarized as follows; understanding the high ratio of elderly population and increases of closed schools in sample area, verification of overall possibility in remodeling a closed school into elderly facility, confirmation of availability in changing regular class room to residential rooms, and some proposals of principal points in floor planning - homelike atmosphere by small scaled residential units(10 persons), spatial hierarchy for residents' mental comfort, sliding door for accessibility, kitchen and dining space in residential unit for the residents' participation in houseworks.

An Initial Placement Strategy for Optimal Placement of Phasor Measurement Units in Power Systems (페이저 측정기 치적배치를 위한 초기 배치 전략)

  • Cho, Ki-Seon;Shin, Joong-Rin;Park, Jong-Bae;Chae, Myung-Suk
    • Proceedings of the KIEE Conference
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    • 2002.07a
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    • pp.342-344
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    • 2002
  • This paper presents a new strategy to find starting points for placing optimally Phasor Measurement Units(PMUs). The performance of the starting point, initial placement set of PMUs, affect critically the computational burden and/or time, because the Optimal PMU Placement (OPP) problem is formulated the combinatorial optimization. By analyzing the properties of OPP solutions on IEEE sample systems in detail, a new strategy for initial PMU placement, in this paper, is proposed. To verify the performance of the suggested strategy, the comparison with the existing strategy and the new one, on IEEE sample systems. is performed. By using the new strategy, the numbers of search spaces to solve the OPP problem is drastically decreased.

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Imputation Using Factor Score Regression

  • Lee, Sang-Eun;Hwang, Hee-Jin;Shin, Key-Il
    • Communications for Statistical Applications and Methods
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    • v.16 no.2
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    • pp.317-323
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    • 2009
  • Recently not even government polices but small town decisions are based on the survey data/information, so the most of government agencies/organizations demand various sample surveys in each fields for more detail information. However in conducting the sample survey, nonresponse problem rises very often and it becomes a major issue on judging the accuracy of survey. For that matters, one solution ran be using the administration data. However unfortunately most of administration data are restricted to the common users. The other solution can be the imputation. Therefore several method, of imputation are studied in various fields. In this study, in stead of the simple regression imputation method which is commonly used, factor score regression method is applied specially to the incomplete data which have the unit and item misting values in survey data. Here for simulation study, Consumer Expenditure Surveys in Korea are used.

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.

The CO Gas Sensing Properties of ZnO-WO$_3$Composite Ceramics (ZnO-WO$_3$복합체의 일산화탄소 가스 감응특성)

  • 김태원;정승우;최우성;박춘배
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1997.11a
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    • pp.401-404
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    • 1997
  • We prepared 0~20mo1% WO$_3$added ZnO composite ceramics in order to promote a CO gas sensitivity. Using SE,. we observed the microstructure of sample. The resistances of sample were measured by High Voltage Measure/source Unit in the temperature range of +5V~-5V. The measured 1000ppm CO sensitivities of pure ZnO were about 1~4.3, and the measured 1000ppm CO sensitivities of ZnO-WO$_3$composite ceramics were about 1~8.2. Therefore, the 1000ppm CO sensitivities of ZnO-WO$_3$composite ceramics were about 2 times larger than that of pure ZnO.

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Analysis of preferred fabric character as a seat cover (시트 커버 직물로 선호하는 직물 특징 분석)

  • 김한경;박세진;이현영;이영봉
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1999.11a
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    • pp.153-156
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    • 1999
  • 본 연구는 시트 커버지로 선호하는 직물의 특성을 파악하고자 하였다. 직물디자인의 평가 요소 중 pattern에 초점을 맞추었으며 부수적으로 색상에 대한 선호도 평가를 수행하였다. 직물 pattern 디자인은 PP(Primitive pattern)와 RPU(Repeated pattern unit)의 세부항목에 대한 평가를 통해 전체 직물패턴에 대한 평가가 가능하다. Pattern 특징 평가를 위한 1차 설문에서 소재와 색상의 요인들의 영향을 최소화하기 위해 sample 직물을 gray-scale image로 제시하여 세부항목을 평가하였다. 1차 설문결과로써 pattern 특성을 대표하는 4개의 직물샘플을 선정하였다. 2차 설문에서 4개의 대표 sample을 열차용 시트에 rendering 하여 선호도 평가를 수행하였으며, 색상 선호도 평가는 5가지 색상 군집에 대한 선호를 평가하였다. 선호도 평가 결과 시트 커버지로 선호하는 직물의 특징은 PP의 특징에 상관없이 RPU의 돌출성이 적은 pattern이었다 또한 색상은 초록색과 파랑색을 선호하는 것을 알 수 있었다. 추후 이러한 결과를 통한 시트 커버 직물의 디자인 및 선택이 이루어져야 할 것이다.

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The Analysis of Free Amino Acids in Tobacco (잎담배 중 유리 아미노산 분석)

  • Lee, Jeong-Min;Min, Hey-Jung;Jang, Gi-Chul;Hwang, Keon-Joong
    • Journal of the Korean Society of Tobacco Science
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    • v.32 no.2
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    • pp.70-76
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    • 2010
  • A simple and sensitive automatic amino acid analyzer method for the determination of free amino acids in tobacco was described. Sample preparation consisted of a single step of extraction with 0.1 mol HCl at ambient temperature in 60 min by sonication, followed by filtration of an aliquot. Automated amino acid analyzer was used to construct a post-column ninhydrin reaction unit to monitor amino acids separated by liquid chromatography using a series of eluting buffers. By optimization of sample preparation, separation of 19 amino acids was achieved. Limits of quantitation was 0.01 mg/g, coefficients of variation ranged from 0.5 % to 8.9 % and recoveries range from 85 % to 106 %. The method was applied to the analysis of amino acids contents of tobacco leaves in different varieties.

Effects of incorrect detrending on the coherency between non-stationary time series processes

  • Lee, Jin
    • Communications for Statistical Applications and Methods
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    • v.26 no.1
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    • pp.27-34
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    • 2019
  • We study the effect of detrending on the coherency between two time series processes. Many economic and financial time series variables include nonstationary components; however, we analyze the two most popular cases of stochastic and deterministic trends. We analyze the asymptotic behavior of coherency under incorrect detrending, which includes the cases of first-differencing the deterministic trend process and, conversely, the time trend removal of the unit root process. A simulation study is performed to investigate the finite sample performance of the sample coherency due to incorrect detrending. Our work is expected to draw attention to the possible distortion of coherency when the series are incorrectly detrended. Further, our results can extend to various specification of trends in aggregate time series variables.

Extraction and classification of tempo stimuli from electroencephalography recordings using convolutional recurrent attention model

  • Lee, Gi Yong;Kim, Min-Soo;Kim, Hyoung-Gook
    • ETRI Journal
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    • v.43 no.6
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    • pp.1081-1092
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    • 2021
  • Electroencephalography (EEG) recordings taken during the perception of music tempo contain information that estimates the tempo of a music piece. If information about this tempo stimulus in EEG recordings can be extracted and classified, it can be effectively used to construct a music-based brain-computer interface. This study proposes a novel convolutional recurrent attention model (CRAM) to extract and classify features corresponding to tempo stimuli from EEG recordings of listeners who listened with concentration to the tempo of musics. The proposed CRAM is composed of six modules, namely, network inputs, two-dimensional convolutional bidirectional gated recurrent unit-based sample encoder, sample-level intuitive attention, segment encoder, segment-level intuitive attention, and softmax layer, to effectively model spatiotemporal features and improve the classification accuracy of tempo stimuli. To evaluate the proposed method's performance, we conducted experiments on two benchmark datasets. The proposed method achieves promising results, outperforming recent methods.

Development of Prediction Model of Subcontract's Bidding-Ratio for Private Apartment Projects (민간 공동주택 하도급 낙찰률 예측모델 개발)

  • Jang, Ki-Suk;Koo, Kyo-Jin
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.11a
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    • pp.250-251
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    • 2021
  • A subcontract work order is the basis of the construction process and consists of the root and trunk of the construction industry. The construction process through a subcontract work order is an important element of project success, and it is the basic unit of creating profit in the construction industry. Therefore, correct analysis and forecasting of subcontract work orders allow correct estimation of construction cost and profit which is the foundation of corporate decision making. This study has started to provide predictions of subcontractor's bidding-ratio for decision-making. Since the actual project data has been used in this study, the contribution level of the model is highly expected in actual field. The statistical confidential level of adjusted decision coefficient is concluded low because of limited sample numbers. However, its accuracy and confidence level can be increased through increasing sample numbers, considering more variables, and studying of reducing error.

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