• Title/Summary/Keyword: standard contents development model

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Development of Business and Performance Record Standard Template for Rail Infrastructure BIM Performance Management (철도인프라 BIM 성과관리를 위한 업무 및 성과기록 표준 템플릿 개발)

  • Shin, Min-Ho;Kim, Hwan-Yong;Choi, Young-Woo;Han, Sang-Cheon
    • Journal of KIBIM
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    • v.10 no.4
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    • pp.50-59
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    • 2020
  • Recently, the government has actively promoted the introduction of BIM at the national level to improve the efficiency and productivity of the construction industry, and private interest in the application of BIM has also increased. However, despite the large amount of references and information, not much research has been done in quantitative ways to accurately measure the performance of BIM projects. The purpose of this study is to review performance measurement cases using ROI, investment effect analysis, and queue model analysis using domestic and overseas BIM guideline research and to present standard templates that can quantitatively measure BIM performance records according to domestic conditions based on this. Performance measurement trends and cases according to the application of BIM were analyzed, and nine quantification elements were derived from this, and based on this, a performance measurement data collection template at the BIM life cycle stage was prepared. Detailed items and contents were prepared for the nine quantification elements, and the final template consisted of a total of 43 questions, divided into the entire stage (15), the beginning (8), the middle (8), and the latter (12) areas. It is expected that by using the standard template of railway BIM performance records developed in this study, the BIM design stage will be diagnosed and the deficiencies will be supplemented, which will be the basic data for measuring actual quantitative performance in all life cycle performance of future BIM projects.

Bibliographic metadata development for the efficient information resource sharing (효율적 정보자원 공유를 위한 서지 메타데이터 XML DTD 개발)

  • Lee, Hye-Jin;Song, In-Seok
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.427-433
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    • 2004
  • Most information providers are offering integrated retrieval service based on the bibliographic metadata and schema corresponding to each type of document which are developed in a distributed and independent way. However, it is difficult to maintain the relational consistency of those single heterogeneous databases even though they obey the metadata standard like MARC or MODS. It is the main reason that those standards are restricted to present the general property of document regardless of its type and not to applied to define the relationship of document types. Therefore, It is necessary to define a comprehensive meta model to associate the related databases in a systematic way so that the semantically common part of them can be easily shared and reused without any additional effort like conversion or mapping. In this paper, we first outline the document types for designing meta model by the empirical analysis of various data schema of main information providers. We propose then data element definition, metadata model and modularized XML DTD which support the efficient and consistent management of multiple ducument types.

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Development of Policies and Business Models of Utilizing Idle Farmlands (유휴농지 활용을 위한 정책사업 모델개발)

  • Kim, Kyoung-Chan;Park, Chang-Won;Cho, Seok-Ho;Jeon, Young-Mi;Koo, Seung-Mo
    • Journal of Korean Society of Rural Planning
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    • v.20 no.1
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    • pp.91-104
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    • 2014
  • Self-sufficiency rate of food in South Korea is almost at the lowest level among OECD countries, and the decrease tend of farmland is expected to be continued. In this situation, Korea experienced a rapid change in the international price of grain due to changes in amount of grain production and food weaponization. It also started to reinforce the appropriateness of maintenance of farmland above certain standard. As one of policy means for this situation, this study selected "the use of idle farmland" as a subject, and started to consider the way to suggest the policy projects using idle farmland. The result of this study is summarized as follows. Firstly, this study defined the meaning of idle farmland, and set up the scope of idle farmland needed to this study. Secondly, this study analyzed the domestic major policy projects with prevention function of idle farmland as well as the policy projects related to idle farmland. It also investigated "recycling measures of idle farmland" that is recently promoted in Japan, and deducted the direction for developing a new model. Lastly, It suggested 9 policy project models that are finally able to use idle farmland. Suggested models are designed to access from various directions. This study suggested contents, entity, target and characteristics of projects in order to set up proper directions in promoting policy projects using idle farmland.

Moisture Content Prediction Model Development for Major Domestic Wood Species Using Near Infrared Spectroscopy (근적외선 분광분석법을 이용한 국산 주요 수종의 섬유포화점 이하 함수율 예측 모델 개발)

  • Yang, Sang-Yun;Han, Yeonjung;Park, Jun-Ho;Chung, Hyunwoo;Eom, Chang-Deuk;Yeo, Hwanmyeong
    • Journal of the Korean Wood Science and Technology
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    • v.43 no.3
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    • pp.311-319
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    • 2015
  • Near infrared (NIR) reflectance spectroscopy was employed to develop moisture content prediction model of pitch pine (Pinus rigida), red pine (Pinus densiflora), Korean pine (Pinus koraiensis), yellow poplar (Liriodendron tulipifera) wood below fiber saturation point. NIR reflectance spectra of specimens ranging from 1000 nm to 2400 nm were acquired after humidifying specimens to reach several equilibrium moisture contents. To determine the optimal moisture contents prediction model, 5 mathematical preprocessing methods (moving average (smoothing point: 3), baseline, standard normal variate (SNV), mean normalization, Savitzky-Golay $2^{nd}$ derivatives (polynomial order: 3, smoothing point: 11)) were applied to reflectance spectra of each specimen as 8 combinations. After finishing mathematical preprocessings, partial least squares (PLS) regression analysis was performed to each modified spectra. Consequently, the mathematical preprocessing methods deriving optimal moisture content prediction were 1) moving average/SNV for pitch pine and red pine, 2) moving average/SNV/Savitzky-golay $2^{nd}$ derivatives for Korean pine and yellow poplar. Every model contained three principal components.

Prediction of Soluble Solid and Firmness in Apple by Visible/Near-Infrared Spectroscopy (가시광선/근적외선 분광분석법을 이용한 사과의 당도 및 경도 측정)

  • 최창현;이강진;박보순
    • Journal of Biosystems Engineering
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    • v.22 no.2
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    • pp.256-265
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    • 1997
  • The objectives of this study were to examine the ability to predict soluble solid and firmness in intact apples based on the visible/near-infrared spectroscopic technique. Two cultivars of apples, Delicious and Gala, were handled, tested and analyzed separately. Reflectance spectra, Magness-Tayor (MT) firmness, and soluble solids in apples were measured sequentially. Maximum and minimum diameters, height, and weight of apples were recorded before the MT firmness tests. A spectrophotometer was used to collect reflectance spectra of intact apples over a wavelength range of 400 to 2, 498 nm. The W firmness tests were conducted using a standard 11.1mm (7/16 in.) MT probe mounted in an Instron universal testing machine. A digital refractormeter was used to measure soluble solid contents in the apples. Apple samples were divided into a calibration set and a prediction set. The calibration set was used during model development, and the prediction set was used to predict soluble solids and firmness from unknown spectra. The method of partial least square (PLS) analysis was used. An unique set of PLS loading vectors (factors) was developed for soluble solid content and firmness. The PLS model showed good correlations between predicted and measured soluble solids of intact apples in 860~1078 nm of the wavelengths. However, the PLS analysis was not good enough to predict the apple firmness.

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Region Classification and Image Based on Region-Based Prediction (RBP) Model

  • Cassio-M.Yorozuya;Yu-Liu;Masayuki-Nakajima
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1998.06b
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    • pp.165-170
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    • 1998
  • This paper presents a new prediction method RBP region-based prediction model where the context used for prediction contains regions instead of individual pixels. There is a meaningful property that RBP can partition a cartoon image into two distinctive types of regions, one containing full-color backgrounds and the other containing boundaries, edges and home-chromatic areas. With the development of computer techniques, synthetic images created with CG (computer graphics) becomes attactive. Like the demand on data compression, it is imperative to efficiently compress synthetic images such as cartoon animation generated with CG for storage of finite capacity and transmission of narrow bandwidth. This paper a lossy compression method to full-color regions and a lossless compression method to homo-chromatic and boundaries regions. Two criteria for partitioning are described, constant criterion and variable criterion. The latter criterion, in form of a linear function, gives the different threshold for classification in terms of contents of the image of interest. We carry out experiments by applying our method to a sequence of cartoon animation. We carry out experiments by applying our method to a sequence of cartoon animation. Compared with the available image compression standard MPEG-1, our method gives the superior results in both compression ratio and complexity.

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A Study on the Standardization Strategy for e-Learning Quality Assurance (e-Learning QA 표준화 전략에 관한 연구)

  • Han, Tae-In;Kim, Kwang-Myung
    • Journal of Digital Convergence
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    • v.3 no.2
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    • pp.143-157
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    • 2005
  • Many papers point out that the e-Learning is one of the most important industries, and the effect on other industries can be more powerful than any other business. Therefore, we think about social, cultural, industrial and technological effect of the e-Learning in order to enlarge industry scale as well as educational performances. In many cases of developed countries, various kinds of study have been performed for the e-Learning quality assurance because quality of the e-learning should operate on effective and efficient learning and continuous market development of education industries. The e-Learning quality assurance has import function not only for learning contents reusability like a SCORM and metadata but also for learning system, solution and service operation, so activities for the quality assurance should consider of cultural and tactical approach when it is applied in the e-learning business. In this paper, we present the concept, domain and purpose of the e-Learning quality assurance. Furthermore, this paper proposes the process and methodology in order to make the quality assurance standard model which is consist of 6 phase such as Environment Research, Needs Analysis, Framework, Metrics, Development and Implementation, Evaluation and Feedback through the analysis and comparison of pre-studied worldwide quality control, management and assurance documents.

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The Seoul Neuropsychological Screening Battery (SNSB) for Comprehensive Neuropsychological Assessment

  • Hui Jin Ryu;Dong Won Yang
    • Dementia and Neurocognitive Disorders
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    • v.22 no.1
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    • pp.1-15
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    • 2023
  • The Seoul Neuropsychological Screening Battery (SNSB) is known as a representative comprehensive neuropsychological evaluation tool in Korea since its first standardization in 2003. It was the main neuropsychological evaluation tool in the Clinical Research Center for Dementia of South Korea, a large-scale multi-center cohort study in Korea that was started in 2005. Since then, it has been widely used by dementia clinicians, and further solidified its status as a representative dementia evaluation tool in Korea. Many research results related to the SNSB have been used as a basis for the diagnosis and evaluation of patients in various clinical settings, especially, in many areas of cognitive assessment, including dementia evaluation. The SNSB version that was updated in 2012 provides psychometrically improved norms and indicators through a model-based standardization procedure based on a theoretical probability distribution in the norm's development. By providing a score for each cognitive domain, it is easier to compare cognitive abilities between domains and to identify changes in cognitive domain functions over time. Through the development of the SNSB-Core, a short form composed of core tests, which also give a composite score was provided. The SNSB is a useful test battery that provides key information on the evaluation of early cognitive decline, analysis of cognitive decline patterns, judging the severity of dementia, and differential diagnosis of dementia. This review will provide a broad understanding of the SNSB by describing the test composition, contents of individual subtests, characteristics of standardization, analysis of the changed standard score, and related studies.

Development of Rapid Prediction Model of C3G Content in Black Pigmented Rice (흑자색미의 C3G 색소함량 신속 예측모델 개발)

  • Ryu Su-Noh;Yang Jong-Jin;Park Sun-Zik
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.50 no.spc1
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    • pp.1-3
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    • 2005
  • It has been reported that Cyanidin 3-Glu-coside (C3G) of the black pigmented rice was as the high anti-oxidency and analyzed by high performance liquid chromatography (HPLC). However, the analysis of C3G by HPLC is needed long pre-treated steps, so development of methods with simple pre-treated steps is needed in order to breed vices with high C3G contents. The analysis of components using near infrared reflectance (NIR) was well known as non pre-treated and nondestructive. C3G contents of Bengjinjubyeo$\times$Suwon425 $F_{10}$ 385 lines were used in order to develop C3G content prediction model in pigmented rice using FT-NIR. The results of C3G content of FT-NIR compared with HPLC were showed that the equation was f(x)=0.9427x+34.0430, $R^2$, standard error of calibration was 0.943, 0.116 and those of validation was 0.928, 0.122, respectively. This prediction model will be able to be used for analyzing C3G contents in black pigmented rice.

Design and development of SCORM based e-Learning contents about Mathematics for the KERIS' Cyber Home Education System (KERIS의 사이버가정학습 시스템에 적합한 SCORM기반 수학과 e-Learning 컨텐츠 설계 및 개발)

  • Lee Hye-Gyung;Kim Hyang-Sook
    • Communications of Mathematical Education
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    • v.20 no.3 s.27
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    • pp.425-441
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    • 2006
  • Entering upon 21th, the internet which bring the digital era, are changing the paradigm of education and cultivating creative and challenging person, which is the core of competitive power in knowledge-information society, is more emphasized than ever. To meet the needs of the present times, it has been concentrating its effort to improve learning-environment using e-Learning in the field of teaching. E-schoolbooks that were introduced recently by way of showing an example are representative case of this intention. Though many e-learning contents are being developed, the more speedily a society grow, the shorter the life of contents are. Moreover, the contents developed are impossible to use directly for tele-education system, so standard types adjusted for various kind of system are showing up. Among them the leading standard type is SCORM(Sharable Content Object Reference Medel) made in ADL(Advanced Distributed Learning) Corporation. The KERIS' Cyber Home Education System adopted this and is using it. So, in this study, we set the goal at designing and developing an e-learning contents and an experiment-focused mathematics that suit the KERIS' Cyber Home Education System on the basis of SCORM.

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