• Title/Summary/Keyword: 개체모형

Search Result 281, Processing Time 0.025 seconds

Suggestions for the Composition of KCR4 Revision (한국목록규칙 4판 개정판의 구성 방안 연구)

  • Doh, Tae-Hyeon
    • Journal of Korean Library and Information Science Society
    • /
    • v.46 no.4
    • /
    • pp.207-226
    • /
    • 2015
  • FRBR and FRAD model, ICP, RDA, NCR Revision are analyzed for the composition of KCR4 Revision. Based on the results, follows are suggested. 1) Entities are divided into work, expression, manifestation, item, person, family, corporate body, concept, object, event, place. 2) Entire cataloging rules are grouped into 'attributes' and 'relationships', and then 'attributes' is divided into attributes describing and access points constructing. 3) Attributes describing is divided into attributes describing of works, expressions, manifestations, items, persons, families, corporate bodies, and arranged as the sequence. 4) Access points constructing is divided into access points constructing of works, expressions, persons, families, corporate bodies, and arranged as the sequence. 5) 'Relationships' is divided into other relationships between group 1 entities, and relationships between persons, families and corporate bodies.

A Space-Based Approach to Organizing Local Records Using CIDOC CRM: A Case of the Port of Busan (CIDOC-CRM을 이용한 지역기록의 공간 기반 구조화 - 부산항을 사례로 -)

  • Hyun, Moonsoo
    • Journal of Korean Society of Archives and Records Management
    • /
    • v.15 no.2
    • /
    • pp.83-101
    • /
    • 2015
  • This study aims to examine the capability of organizing local records. Based on literature reviews, this study identified that space can be a useful context of records. Accordingly, it designed a records model on additional space entity. It attempted to organize five sample records based on the space of the port of Busan (Busanhang) using CIDOC CRM (6.0). In conclusion, it presented that a space entity provides relations across other entities. As such, it is possible to propose a defining space entity when designing records model that can support the understanding of records' contexts.

Evaluation and Comparison of Effects of Air and Tomato Leaf Temperatures on the Population Dynamics of Greenhouse Whitefly (Trialeurodes vaporariorum) in Cherry Tomato Grown in Greenhouses (시설내 대기 온도와 방울토마토 잎 온도가 온실가루이(Trialeurodes vaporariorum)개체군 발달에 미치는 영향 비교)

  • Park, Jung-Joon;Park, Kuen-Woo;Shin, Key-Il;Cho, Ki-Jong
    • Horticultural Science & Technology
    • /
    • v.29 no.5
    • /
    • pp.420-432
    • /
    • 2011
  • Population dynamics of greenhouse whitefly, Trialeurodes vaporariorum (Westwood), were modeled and simulated to compare the temperature effects of air and tomato leaf inside greenhouse using DYMEX model simulator (pre-programed module based simulation program developed by CSIRO, Australia). The DYMEX model simulator consisted of temperature dependent development and oviposition modules. The normalized cumulative frequency distributions of the developmental period for immature and oviposition frequency rate and survival rate for adult of greenhouse whitefly were fitted to two-parameter Weibull function. Leaf temperature on reversed side of cherry tomato leafs (Lycopersicon esculentum cv. Koko) was monitored according to three tomato plant positions (top, > 1.6 m above the ground level; middle, 0.9 - 1.2 m; bottom, 0.3 - 0.5 m) using an infrared temperature gun. Air temperature was monitored at same three positions using a Hobo self-contained temperature logger. The leaf temperatures from three plant positions were described as a function of the air temperatures with 3-parameter exponential and sigmoidal models. Data sets of observed air temperature and predicted leaf temperatures were prepared, and incorporated into the DYMEX simulator to compare the effects of air and leaf temperature on population dynamics of greenhouse whitefly. The number of greenhouse whitefly immatures was counted by visual inspection in three tomato plant positions to verify the performance of DYMEX simulation in cherry tomato greenhouse where air and leaf temperatures were monitored. The egg stage of greenhouse whitefly was not counted due to its small size. A significant positive correlation between the observed and the predicted numbers of immature and adults were found when the leaf temperatures were incorporated into DYMEX simulation, but no significant correlation was observed with the air temperatures. This study demonstrated that the population dynamics of greenhouse whitefly was affected greatly by the leaf temperatures, rather than air temperatures, and thus the leaf surface temperature should be considered for management of greenhouse whitefly in cherry tomato grown in greenhouses.

A Study on Considerations for Acceptance of LRM Through Analysis of RDA 2020 to Reflect LRM (RDA 2020의 LRM 수용 방식 분석을 통한 LRM 적용시 고려사항에 관한 연구)

  • Mihwa Lee
    • Journal of Korean Library and Information Science Society
    • /
    • v.54 no.2
    • /
    • pp.1-22
    • /
    • 2023
  • In this study, we propose a plan to reflect LRM in various library-related standards or systems through analyzing the reflection of LRM in RDA. To this end, LRM and RDA 2020 were analyzed in terms of entities, relationships, attributes, and encoding schemes. First of all, for the mapping of entities, relationships, and attributes, all properties and relationships were extracted for each entity of RDA, LRM elements corresponding to each property and relationship were found and mapped, and encoding schemes were additionally compared. As a result, the things to consider in the standards and systems to which LRM is to be applied are: first, entities development considering the LRM hierarchy; second, new relation or shortcut path relation development; third, attributes expansion according to the entities considering the LRM hierarchical structure, and fourth, the development of various encoding scheme. Through this study, it will be possible to find an application plan using the application of RDA as a model in standards or systems to accept LRM.

Design of Class and Causality Model for Diagnosis System of an Emergency Generator in Nuclear Plant (원전 비상 발전기의 고장진단시스템을 위한 클래스 및 인과관계 모형 설계)

  • Ha, Chang-Seung;Part, Jong-Il
    • Journal of the Korea Society of Computer and Information
    • /
    • v.11 no.3
    • /
    • pp.125-132
    • /
    • 2006
  • The construction of an emergency generator's diagnosis system for the preparation of emergency in nuclear plant is vital. To construct a knowledge base of the diagnosis system, the classes and a causality model should be designed. In order to design those elements, at first. object of the diagnosis system should be defined. After the investigation of normal and abnormal states. the external knowledge such as entities and activities is extracted, that the operational principle of the system. For the conversion of the extracted external knowledge to the internal one, the entities are defined as classes and the activities converted into the causality. Through the recursive configuration of the causality and proper examination, the diagnosis knowledge applicable to the knowledge base is completed. In this paper, it is possible to construct a knowledge base with high portability since the independence of design model is considered through the decision table.

  • PDF

A Generalized Marginal Logit Model for Repeated Polytomous Response Data (반복측정의 다가 반응자료에 대한 일반화된 주변 로짓모형)

  • Choi, Jae-Sung
    • The Korean Journal of Applied Statistics
    • /
    • v.21 no.4
    • /
    • pp.621-630
    • /
    • 2008
  • This paper discusses how to construct a generalized marginal logit model for analyzing repeated polytomous response data when some factors are applied to larger experimental units as treatments and time to a smaller experimental unit as a repeated measures factor. So, two different experimental sizes are considered. Weighted least squares(WLS) methods are used for estimating fixed effects in the suggested model.

A generalized logit model with mixed effects for categorical data (다가자료에 대한 혼합효과모형)

  • 최재성
    • The Korean Journal of Applied Statistics
    • /
    • v.15 no.1
    • /
    • pp.129-137
    • /
    • 2002
  • This paper suggests a generalized logit model with mixed effects for analysing frequency data in multi-contingency table. In this model nominal response variable is assumed to be polychotomous. When some factors are fixed but considered as ordinal and others are random, this paper shows how to use baseline-category logits to incoporate the mixed-effects of those factors into the model. A numerical algorithm was used to estimate model parameters by using marginal log-likelihood.

A generalized logit model with mixed effects for categorical data (다가자료에 대한 혼합효과모형)

  • Choi, Jae-Sung
    • 한국데이터정보과학회:학술대회논문집
    • /
    • 2001.10a
    • /
    • pp.25-33
    • /
    • 2001
  • This paper suggests a generalized logit model with mixed effects for analysing frequency data in multi-contingency table. In this model nominal response variable is assumed to be polychotomous. When some factors are fixed but condisered as ordinal and others are random, this paper shows how to use baseline-category logits to incoporate the mixed-effects of those factors into the model. A numerical algorithm was used to estimate model parameters by using marginal log-likelihood.

  • PDF

A Study on IFLA Functional Requirements for Bibliographic Records Model (IFLA의 서지레코드 기능요건(FRBR) 모형 고찰)

  • Lee, Sung-Sook
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.37 no.2
    • /
    • pp.319-342
    • /
    • 2003
  • Catalog serves a dual purposes. One is finding function(or identifying function) that is identified and located specific items and the other is collocating function which is displayed specific author's all works and all related editions. This study is re-examined the functions of catalog. For catalog's effective serving this study is provided and overviewed the FRBR(Functional Requirements for Bibliographic Record) models as reference conceptual model for functions of catalog.

Variable Selection for Multi-Purpose Multivariate Data Analysis (다목적 다변량 자료분석을 위한 변수선택)

  • Huh, Myung-Hoe;Lim, Yong-Bin;Lee, Yong-Goo
    • The Korean Journal of Applied Statistics
    • /
    • v.21 no.1
    • /
    • pp.141-149
    • /
    • 2008
  • Recently we frequently analyze multivariate data with quite large number of variables. In such data sets, virtually duplicated variables may exist simultaneously even though they are conceptually distinguishable. Duplicate variables may cause problems such as the distortion of principal axes in principal component analysis and factor analysis and the distortion of the distances between observations, i.e. the input for cluster analysis. Also in supervised learning or regression analysis, duplicated explanatory variables often cause the instability of fitted models. Since real data analyses are aimed often at multiple purposes, it is necessary to reduce the number of variables to a parsimonious level. The aim of this paper is to propose a practical algorithm for selection of a subset of variables from a given set of p input variables, by the criterion of minimum trace of partial variances of unselected variables unexplained by selected variables. The usefulness of proposed method is demonstrated in visualizing the relationship between selected and unselected variables, in building a predictive model with very large number of independent variables, and in reducing the number of variables and purging/merging categories in categorical data.