• Title/Summary/Keyword: Data Characteristic

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Generalized characteristic polynomials of semi-zigzag product of a graph and circulant graphs

  • Lee, Jae-Un;Kim, Dong-Seok
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1289-1295
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    • 2008
  • We find the generalized characteristic polynomial of graphs G($F_{1},F_{2},{\cdots},F_{v}$) the semi-zigzag product of G and ${\{F_{i}\}^{v}_{i=1}$ obtained from G by replacing vertices by circulant graphs of vertices and joining $F_{i}$'s along the edges of G. These graphs contain discrete tori and are key examples in the study of network model.

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Statistical Representation Methods of Ground Data (지반조사 데이터의 통계처리기법)

  • Lee, Kyu-Hwan;Yoon, Gil-Lim
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.10a
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    • pp.85-110
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    • 2008
  • Ground investigation data to be used as a basis for geotechnical analysis and foundation design are usually troubled with large uncertainty, due to natural variability and limited number of data. Statistical methods can be a rational tool for handling such uncertain ground data, in particular with a view to the selection of characteristic values for estimating ground design parameters used in design. The characteristic values of soil properties for use in geotechnical design have oftenly based on not only a subjective judgment but also engineer's past acumulated experience. This paper discussed some statistical methods which can handle such intrinsic ground uncertainty data with a case design in a rational manner.

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A Study on the Characteristic of Resettlement Decision in Urban Redevelopment Project District (도시정비사업지구의 거주자 재입주 선택 특성에 관한 연구)

  • Son, Yeong-Wung;Kim, Seung-Woon;Lee, Joo-Hyung
    • KIEAE Journal
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    • v.12 no.1
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    • pp.11-19
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    • 2012
  • The subject of this study is capital area including Seoul and Incheon, and metropolitan area including Daejeon and Busan among urban redevelopment project district that are currently promoting urban redevelopment project. Data for analysis is implemented collected through visiting each households in project district. Resettlement decision characteristics are analyzed with considering householder's characteristic, house member's characteristic, residential space's characteristic, and area characteristic of families residing in urban redevelopment project area. Through researching characteristics and preferences of residents in project area by urban redevelopment business, improvement were found and implications were provided. Consequently, there are many factors to consider resettlement when deciding household's resettlement when deciding on household's resettlement after the redevelopment project depending on household's characteristics. So, political methods are needed to accomplish urban redevelopment project by resident's position through characteristic and preference survey of resident on project district. Therefore, the study can be utilized as basic data that considers characteristic of each households and region when establishing house policy in order to correspond to housing market that satisfies future consumer's demand.

The Study on the Wafer Surface and Pad Characteristic for Optimal Condition in Wafer Final Polishing (최적조건 선정을 위한 Pad 특성과 Wafer Final Polishing의 가공표면에 관한 연구)

  • Won, Jong-Koo;Lee, Eun-Sang;Lee, Sang-Gyun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.1
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    • pp.26-32
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    • 2012
  • Polishing is one of the important methods in manufacturing of Si wafers and in thinning of completed device wafers. This study will report the characteristic of wafer according to processing time, machining speed and pressure which have major influence on the abrasion of Si wafer polishing. It is possible to evaluation of wafer abrasion by load cell and infrared temperature sensor. The characteristic of wafer surface according to processing condition is selected to use a result data that measure a pressure, machining speed, and the processing time. This result is appeared by the characteristic of wafer surface in machining condition. Through that, the study cans evaluation a wafer characteristic in variable machining condition. It is important to obtain optimal condition. Thus the optimum condition selection of ultra precision Si wafer polishing using load cell and infrared temperature sensor. To evaluate each machining factor, use a data through each sensor. That evaluation of abrasion according to variety condition is selected to use a result data that measure a pressure, machining speed, and the processing time. And optimum condition is selected by this result.

A Study on the Identification of Target Compounds From the GC/MS Data (GC/MS분석자료의 목표물질 인식에 관한 연구)

  • 민홍기;홍승홍
    • Journal of Biomedical Engineering Research
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    • v.10 no.3
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    • pp.223-228
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    • 1989
  • In this paper, the computerized interpretation of the analytical chemical data, especially GC/MS data, was performed for the purpose of prescreening of the target compounds. First, the data from the analytical instrument was analyzed to get the information about the retention time of the ISTD and the time inteval between the records. Second, the identification of the characteristic ion peaks was performed by calculating the ratio of the heights and the relative slope sensitivity of the characteristic mass abundance.

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Study on the development using refrigerant characteristic curve simulation for refrigeration cycle training (냉동 사이클 교육을 위한 냉매의 특성곡선을 이용한 시뮬레이션 개발에 관한 연구)

  • Kim, Nam-Ho;Lee, Kyung-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.626-629
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    • 2012
  • In this paper, Actual refrigeration system and the data were analyzed in order to provide basic design data of Refrigeration system using the characteristic curve of the refrigerant. On the basis of the characteristic curve of the refrigerant developed simulation program and data of refrigeration system equipment data consisting of compressor, condenser, Receiver content, expansion valve, evaporator, liquid separator, leading to changes in temperature and Moliere were analyzed.

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Analysis on wind condition characteristics for an offshore structure design (해상풍력 구조물 설계를 위한 풍황 특성분석)

  • Seo, Hyun-Soo;Kyong, Nam-Ho;Vaas, Franz;Kim, Hyun-Goo
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.10a
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    • pp.262-267
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    • 2008
  • The long-term wind data are reconstructed from the short-term meteorological data to design the 4 MW offshore wind park which will be constructed at Woljeong-ri, Jeju island, Korea. Using two MCP (Measure-Correlate-Predict) models, the relative deviation of wind speed and direction from two neighboring reference weather stations can be regressed at each azimuth sector. The validation of the present method is checked about linear and matrix MCP models for the sets of measured data, and the characteristic wind turbulence is estimated from the ninety-percent percentile of standard deviation in the probability distribution. Using the Gumbel's model, the extreme wind speed of fifty-year return period is predicted by the reconstructed long-term data. The predicted results of this analysis concerning turbulence intensity and extreme wind speed are used for the calculation of fatigue life and extreme load in the design procedure of wind turbine structures at offshore wind farms.

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Reversible Data Hiding Based on Block Median Preservation and image local characteristic

  • Qu, Xiao-Chao;Kim, Hyoung-Joong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.986-989
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    • 2011
  • Reversible data hiding is a technique that can embed information into cover media (image, video, voice signal) and can recover the original cover media after extracting the embedded information. In this papa, we propose a new reversible data hiding methods that based on block median preservation and the image local characteristic. By using the median value of a block, a high payload can be got and by considering the image local characteristic, a lot of distortion can be avoided and a high PSNR can be got. In the experiment, our methods can generate better result than the previous reversible data hiding methods.

Characteristic Changes of the Changma Season in the 2000s

  • Lee, Jun-Youb;Yoon, Ill-Hee
    • Journal of the Korean earth science society
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    • v.33 no.5
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    • pp.422-433
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    • 2012
  • The purpose of this study is to investigate the characteristic changes of the Changma season in the 2000s. To accomplish this goal, we have used daily rainfall data collected over nearly 40 years (1971 to 2010). The average summer precipitation data including the Changma season were collected from 16 weather stations that are placed across the three major regions (i.e. central region, southern region, and Jeju region) as Korea Meteorological Administration divided. These precipitation data were analyzed to find out characteristic changes of the Changma season. Results of the precipitation data comparison among the major regions that, monthly average precipitation in the central region was the highest in July; its precipitation tended to increase from May to September. In the southern region, the precipitation amount was lowest in June and tended to increase in May, September, and August. In the Jeju region, the precipitation has been the highest in June and July for the past 30 years, whereas September has been highest month in the last 10 years. The precipitation amount in the Jeju region decreased both in June and July, whereas it tended to grow in May, August and September. A correlation coefficient formula by Karl Pearson has been used to find out correlations between the Changma season and the precipitation of the major regions in 2000s and normal years. It was found that the correlation coefficient has decreased from 0.723 to 0.524 in the 2000s (2001 to 2010) compared to normal years (1971 to 2000).

Statistical Lifetime Analysis for Large Electric Power Equipments using Failure Data (고장데이터를 이용한 대용량 전력설비 통계적 수명분석)

  • Kim, Jeong-Tae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.11
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    • pp.1605-1611
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    • 2017
  • In this study, the characteristic lifetime of power facilities such as power transformers and GIS were investigated as the basis of power facility asset management. It is difficult to obtain the operation and failure data of the facilities in Korea. Therefore, the number of failures of the electric power facilities was calculated from the operation data and hazard rate shown in the overseas literatures, and the statistical analysis was performed using the Weibull distribution function. As a result of extracting and analyzing the data of the UK National Grid for power transformers, the characteristic lifetime (scale parameter) of 116.45 years was considered to be a very appropriate value for power transformer management and can be used as a comparative data of the analysis of the domestic transformers. As for the GIS, based on the Bays and Bay-Years data and the hazard rate according to the operation years of the 123kV GIS in Germany, it is found out that the characteristic lifetime of GIS is not so meaningful. It is necessary to decide a maintenance strategy and lifetime expectancy considering the characteristics of the design, materials and manufacturing process of GIS.