• Title/Summary/Keyword: Evaluated Data

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Evaluation of High Order Statistical Parameter for Electrochemical Noise Analysis

  • Kim, Jong Jip
    • Corrosion Science and Technology
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    • v.7 no.5
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    • pp.296-299
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    • 2008
  • High order statistical parameters were evaluated using the electrochemical noise data collected during corrosion of type 430 stainless steel coupled to a inert, platinum electrode in 3.5% NaCl solution. High order statistical parameters are shown to predict uniform corrosion properly. However, Localization index, skewness of current, kurtosis and skewness of potential are capable of predicting pitting corrosion only when the transients are large with long life time. Of the high order statistical parameters evaluated, kurtosis of current is found to be the most sensitive parameter for detecting uniform and pitting corrosion.

A Rapid Quantitative Assay of Intact Ambroxol Tablets by FT-NIR Spectroscopy

  • Kim, Do-Hyung;Ah, Woo-Young;Kim, Hyo-Jin
    • Proceedings of the PSK Conference
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    • 2003.10b
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    • pp.213.2-213.2
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    • 2003
  • A simple analytical procedure using FT-NIR for the rapid determination of individual ingredients was evaluated. Direct measurements were made by reflection using a reflectance accessory, by transmittance using tablet accessory and turn table. FT-NIR spectral data were transformed to the first derivative. Partial Least Square Regression(PLSR) was applied to quantify near-infrared (NIR) spectra of 2 ingredients. These calibration models were cross-validated (leave-one-out approach). The prediction ability of the models was evaluated on ambroxol tablets and compared with the real values in manufacturing procedure. (omitted)

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The Evaluation Study of Service Quality of Tobacco Cessation Information on the Internet Web Sites in Korea (건강정보의 품질평가 연구 : 인터넷 금연 정보 사이트 서비스 품질 평가를 중심으로)

  • Yoo Hye Ra;Jang Yeon Soo;Ban Geum Ok
    • Journal of Korean Public Health Nursing
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    • v.17 no.2
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    • pp.278-286
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    • 2003
  • In this study quality of tobacco cessation information provided through Internet web sites was evaluated in terms of retrievability, easy of use, user-supportiveness, feedback, and continuity. This study limited to those internet web sites developed and delivered by Korean public health service organizations or their related institutions or associations. This study analyzed 8 internet web sites and evaluation criteria developed by Chung, Yong Chul (2002) and Yoo, Sarah (2001) were used. Study results indicated that retrievability was evaluated low except search-speed of data: the easy of use was evaluated moderately: user-supportiveness was evaluated moderately: feedback, and continuity of those sites were evaluated low. The quality of tobacco cession information of those sites are needed to be improved. The development of guidelines for standardized health information on Internet web sites is necessary, too.

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Performance Analysis of Sensor Network Real-Time Traffic for Factory Automation in Intranet Environment (인트라넷 환경에서의 공장자동화를 위한 센서 망 실시간 트래픽 성능 평가)

  • Song, Myoung-Gyu;Choo, Young-Yeol
    • Journal of Korea Multimedia Society
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    • v.11 no.7
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    • pp.1007-1015
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    • 2008
  • In order to provide real-time data from sensors and instruments at manufacturing processes on web, we proposed a communication service model based on XML(eXtensible Markup Language). HTML(Hyper Text Markup Language) is inadequate for describing real-time data from manufacturing plants while it is suitable for display of non-real-time multimedia data on web. For applying XML-based web service of process data in Intranet environment, real-time performance of communication services was evaluated to provide the system design criteria. XML schema for the data presentation was proposed and its communication performance was evaluated by simulation in terms of transmission delay due to increased message length and processing delay for transformation of raw data into defined format. For transformation of raw data into XML format, we proposed two structures: one is the scheme where transformation is done at an SCC(Supervisory Control Computer) after receiving real-time data from instruments. the other is the scheme where transformation is carried out at instruments before the data are transmitted to the SCC. Performances of two structures were evaluated on a testbed under various conditions such as six packet sizes and offered loads of 20%, 50% and 80%, respectively. Test results show that proposed schemes are applicable to the systems in Ethernet 100BaseT network if total message traffic is less than 7 Mbps.

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A Study on the Method of the Landscape Evaluation by GIS; Focusing on the scene of Cheju Island (GIS를 활용한 경관평가방법에 관한 연구 - 제주도를 중심으로-)

  • 서주환;김상범
    • Journal of the Korean Institute of Landscape Architecture
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    • v.26 no.2
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    • pp.62-72
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    • 1998
  • The purpose of this study is to suggest objective basic data for environmental resource planning through the evaluation of the visual quality by GIS. For this, Landscape information system have been made up of topographical and superficial information and landscape values of Cheju Island have been evaluated by using Grass 4.1, degree of visual preferences have been measured mainly by questionnaires and finally these data have been analyzed by using the correlation. Result of this study can be summarized as fellows, in the landscape value, remarkable views play a role as the dominant landscape information. Also, LCPs including various, successive view or a lot of visibility amount have high Landscape value. Therefore, it is important to management landscape which can preserve values of landscape elements through the creation of visibility area. In the visual preference, remarkable scenes play a part as a dominant factor. Also, LCPs including a wide field of vision or successive view have high visual preference. Therefore, it is proved that the visual preference is related to a field of vision and remarkable scenes. Finally, these data have been analyzed by using the regression, in order to verify the method. The result is that a R\sup 2\ is 0.715. It means that correlation is significant at the 0.01 level. In conclusion, the results of this study reveal that visual preference has been evaluated by aesthetic variables and landscape values have been evaluated by GIS. And visual preference and landscape values are closely correlated. In other words, it is possible to evaluate the aesthetic value by physical variable. The method of evaluationi is used in Cheju Island, and it will be possible to apply this method to other places. And this method can be applied to other places by special quality and landscape informatioin system, made up of landscape elements. Also, it will be possible to keep up management and applicatioin that is evaluated by GIS and computer program. Recently, there is a tendency tat visual and aesthetic approach, based on planners' experiences and intuitioin is gradually changed to the scientific approach, based on a objective data. Therefore, it is important that the measuring system is based on objective data which are concerned with a special quality of landscape. It is also significant that the environmental planning is based on a spatial image of physical environment and major landscape elements.

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The Analyzing Risk Factor of Big Data : Big Data Processing Perspective (빅데이터 처리 프로세스에 따른 빅데이터 위험요인 분석)

  • Lee, Ji-Eun;Kim, Chang-Jae;Lee, Nam-Yong
    • Journal of Information Technology Services
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    • v.13 no.2
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    • pp.185-194
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    • 2014
  • Recently, as value for practical use of big data is evaluated, companies and organizations that create benefit and profit are gradually increasing with application of big data. But specifical and theoretical study about possible risk factors as introduction of big data is not being conducted. Accordingly, the study extracts the possible risk factors as introduction of big data based on literature reviews and classifies according to big data processing, data collection, data storage, data analysis, analysis data visualization and application. Also, the risk factors have order of priority according to the degree of risk from the survey of experts. This study will make a chance that can avoid risks by bid data processing and preparation for risks in order of dangerous grades of risk.

Design and evaluation of a fuzzy cooperative caching scheme for MANETs

  • Bae, Ihn-Han
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.3
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    • pp.605-619
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    • 2010
  • Caching of frequently accessed data in multi-hop ad hoc environment is a technique that can improve data access performance and availability. Cooperative caching, which allows sharing and coordination of cached data among several clients, can further en-hance the potential of caching techniques. In this paper, we propose a fuzzy cooperative caching scheme in mobile ad hoc networks. The cache management of the proposed caching scheme not only uses adaptively CacheData or CachePath based on data sim-ilarity and data utility, but also uses the replacement manager based on data pro t. Also, the proposed caching scheme uses a prefetch manager. When the TTL of the cached data expires, the prefetch manager evaluates the popularity index of the data. If the popularity index is larger than a threshold, the data is prefetched. Otherwise, its space is released. The performance of the proposed scheme is evaluated analytically and is compared to that of other cooperative caching schemes.

Brief Paper: An Analysis of Curricula for Data Science Undergraduate Programs

  • Cho, Soosun
    • Journal of Multimedia Information System
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    • v.9 no.2
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    • pp.171-176
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    • 2022
  • Today, it is imperative to educate students on how to best prepare themselves for the new data driven era of the future. Undergraduate education plays an important role in providing students with more Data Science opportunities and expanding the supply of Data Science talent. This paper surveys and analyzes the curricula of Data Science-related bachelor's degree programs in the United States. The 'required' and 'elective' courses in a curriculum for obtaining a B.S. degree were evaluated by course weight to indicate its necessity. As a result, it was possible to find out which courses were important in Data Science programs and which areas were emphasized for B.S. degrees in Data Science. We found that courses belong to the Data Science area, such as data management, data visualization, and data modeling, were more required for Data Science B.S. degrees in the United States.

Improving the Performance of Risk-adjusted Mortality Modeling for Colorectal Cancer Surgery by Combining Claims Data and Clinical Data

  • Jang, Won Mo;Park, Jae-Hyun;Park, Jong-Hyock;Oh, Jae Hwan;Kim, Yoon
    • Journal of Preventive Medicine and Public Health
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    • v.46 no.2
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    • pp.74-81
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    • 2013
  • Objectives: The objective of this study was to evaluate the performance of risk-adjusted mortality models for colorectal cancer surgery. Methods: We investigated patients (n=652) who had undergone colorectal cancer surgery (colectomy, colectomy of the rectum and sigmoid colon, total colectomy, total proctectomy) at five teaching hospitals during 2008. Mortality was defined as 30-day or in-hospital surgical mortality. Risk-adjusted mortality models were constructed using claims data (basic model) with the addition of TNM staging (TNM model), physiological data (physiological model), surgical data (surgical model), or all clinical data (composite model). Multiple logistic regression analysis was performed to develop the risk-adjustment models. To compare the performance of the models, both c-statistics using Hanley-McNeil pair-wise testing and the ratio of the observed to the expected mortality within quartiles of mortality risk were evaluated to assess the abilities of discrimination and calibration. Results: The physiological model (c=0.92), surgical model (c=0.92), and composite model (c=0.93) displayed a similar improvement in discrimination, whereas the TNM model (c=0.87) displayed little improvement over the basic model (c=0.86). The discriminatory power of the models did not differ by the Hanley-McNeil test (p>0.05). Within each quartile of mortality, the composite and surgical models displayed an expected mortality ratio close to 1. Conclusions: The addition of clinical data to claims data efficiently enhances the performance of the risk-adjusted postoperative mortality models in colorectal cancer surgery. We recommended that the performance of models should be evaluated through both discrimination and calibration.

Machined Surface Inspection Based on Surface Fairing on the Machine Tool (곡면평활화를 고려한 공작기계상에서의 가공곡면 검사)

  • Lee, Se-Bok;Kim, Gyeong-Don;Jeong, Seong-Jong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.24 no.4 s.175
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    • pp.937-945
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    • 2000
  • The assessment of machined surface is difficult because the freeform surface must be evaluated by surface fairness as well as dimensional accuracy. In this study, the machined freeform surface is modeled by interpolating the data measured on the machine tool into the mathematical continuous surface, and then the surface model is improved with the parameterization to minimize surface fairness. The accuracy reliability of the measured data is confirmed through compensation of volumetric errors of the machine tool and of probing errors. Non-uniform B-spline surface interpolation method is adopted to guarantee the continuity of surface model. Surface fairness is evaluated with the consideration of normal curvature on the interpolated surface. The validity and usefulness of the proposed method is examined through computer simulation and experiment on the machine tool.