• 제목/요약/키워드: knowledge modelling

검색결과 134건 처리시간 0.025초

NUCLEAR ENERGY MATERIALS PREDICTION: APPLICATION OF THE MULTI-SCALE MODELLING PARADIGM

  • Samaras, Maria;Victoria, Maximo;Hoffelner, Wolfgang
    • Nuclear Engineering and Technology
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    • 제41권1호
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    • pp.1-10
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    • 2009
  • The safe and reliable performance of fusion and fission plants depends on the choice of suitable materials and an assessment of long-term materials degradation. These materials are degraded by their exposure to extreme conditions; it is necessary, therefore, to address the issue of long-term damage evolution of materials under service exposure in advanced plants. The empirical approach to the study of structural materials and fuels is reaching its limit when used to define and extrapolate new materials, new environments, or new operating conditions due to a lack of knowledge of the basic principles and mechanisms present. Materials designed for future Gen IV systems require significant innovation for the new environments that the materials will be exposed to. Thus, it is a challenge to understand the materials more precisely and to go far beyond the current empirical design methodology. Breakthrough technology is being achieved with the incorporation in design codes of a fundamental understanding of the properties of materials. This paper discusses the multi-scale, multi-code computations and multi-dimensional modelling undertaken to understand the mechanical properties of these materials. Such an approach is envisaged to probe beyond currently possible approaches to become a predictive tool in estimating the mechanical properties and lifetimes of materials.

Exploring market uncertainty in early ship design

  • Zwaginga, Jesper;Stroo, Ko;Kana, Austin
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제13권1호
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    • pp.352-366
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    • 2021
  • To decrease Europe's harmful emissions, the European Union aims to substantially increase its offshore wind energy capacity. To further develop offshore wind energy, investment in ever-larger construction vessels is necessary. However, this market is characterised by seemingly unpredictable growth of market demand, turbine capacity and distance from shore. Currently it is difficult to deal with such market uncertainty within the ship design process. This research aims to develop a method that is able to deal with market uncertainty in early ship design by increasing knowledge when design freedom is still high. The method uses uncertainty modelling prior to the requirement definition stage by performing global research into the market, and during the concept design stage by iteratively co-evolving the vessel design and business case in parallel. The method consists of three parts; simulating an expected market from data, modelling multiple vessel designs, and an uncertainty model that evaluates the performance of the vessels in the market. The case study into offshore wind foundation installation vessels showed that the method can provide valuable insight into the effect of ship parameters like main dimensions, crane size and ship speed on the performance in an uncertain market. These results were used to create a value robust design, which is capable of handling uncertainty without changes to the vessel. The developed method thus provides a way to deal with market uncertainty in the early ship design process.

데이터 기술: 지식창조를 위한 새로운 융합과학기술 (Data Technology: New Interdisciplinary Science & Technology)

  • 박성현
    • 품질경영학회지
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    • 제38권3호
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    • pp.294-312
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    • 2010
  • Data Technology (DT) is a new technology which deals with data collection, data analysis, information generation from data, knowledge generation from modelling and future prediction. DT is a newly emerged interdisciplinary science & technology in this 21st century knowledge society. Even though the main body of DT is applied statistics, it also contains management information system (MIS), quality management, process system analysis and so on. Therefore, it is an interdisciplinary science and technology of statistics, management science, industrial engineering, computer science and social science. In this paper, first of all, the definition of DT is given, and then the effects and the basic properties of DT, the differences between IT and DT, the 6 step process for DT application, and a DT example are provided. Finally, the relationship among DT, e-Statistics and Data Mining is explained, and the direction of DT development is proposed.

Modelling of headed stud in steel-precast composite beams

  • El-Lobody, Ehab;Lam, Dennis
    • Steel and Composite Structures
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    • 제2권5호
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    • pp.355-378
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    • 2002
  • Use of composite steel construction with precast hollow core slabs is now popular in the UK, but the present knowledge in shear capacity of the headed shear studs for this type of composite construction is very limited. Currently, all the information is based on the results obtained from experimental push-off tests. A finite element model to simulate the behaviour of headed stud shear connection in composite beam with precast hollow core slabs is described. The model is based on finite element method and takes into account the linear and non-linear behaviour of all the materials. The model has been validated against the test results, for which the accuracy of the model used is demonstrated. Parametric studies showing the effect of the change in transverse gap size, transverse reinforcement diameter and in-situ concrete strength on the shear connection capacity are presented.

데이터 모델링 기법을 이용한 EPCIS 시스템의 모델링에 관한 연구 (A Study on EPCIS System Modeling by Data Modeling Method)

  • 이종석
    • 대한안전경영과학회지
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    • 제14권2호
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    • pp.177-183
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    • 2012
  • Obtaining and applying information is considered as a critical task in the modern informationized society. Finding the one's necessary information and processing it into a detailed knowledge are becoming more priortized in the enormous amount of information. Data modelling is the process that does not only reflect the demands of the user but the one that also facilitates the user's comprehension of the model itself. Ultimately, data modelling fully supports the processes that are requisite for the implementation of a data base and minimizes the alternations of the model during the development of applications.

일차함수 활용문제의 해결을 위한 강의식, 모델링, 과제기반 표현변환 학습의 교수학적 효과 분석 (An Analysis of Teaching and Learning Methods Focusing on the Representation-Shift of the Functional Context)

  • 이종희;김부미
    • 대한수학교육학회지:수학교육학연구
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    • 제14권1호
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    • pp.39-69
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    • 2004
  • 본 연구에서는 학생들이 일차함수의 활용단원을 학습할 때 여러 현상을 해석하고 다양한 수학적 표현을 사용하여 모델로 만들어 문제해결과정에 이를 적용할 수 있도록, 학생들의 표현에 대한 이전 경험과 현상을 해석하기 위한 표현 방법을 효과적으로 연결하는 학습-지도 방법을 분석하였다. 본 연구는 일차함수를 학습한 8학년 학생들을 대상으로 일차함수 단원을 예측과제, 번역과제, 해석과제, 척도과제로 세분화하여 각각에 대한 학생들의 오류를 분석한 다음, 일차함수의 활용 단원을 교과서 위주의 강의식 표현변환 학습, 모델링 관점에서의 표현변환 학습과 과제기반 표현변환 학습을 실시하였다. 연구 결과, 강의식 학습 방법보다는 모델링 관점과 과제기반 학습이 표현변환의 유연한 연결성 및 일차함수에 대한 각 과제별 오류교정과 질적 함수에 대한 해석 능력에서 효과적이었다. 모델링 관점과 과제기반 학습의 경우는 모두 표현변환의 유연한 연결을 교수하는데 효과적이었으나, 질적 함수의 해석 능력에서는 모델링 관점의 학습이 보다 효과적이었다.

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Modelling and Factor Analysis of Pricing Determinants in the State-Regulated Competitive Market: The Case of Ukrainian Flour Market

  • Dragan, Olena;Berher, Alina;Plets, Ivan;Biloshkurska, Nataliia;Lysenko, Nataliia;Bovkun, Olha
    • International Journal of Computer Science & Network Security
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    • 제21권7호
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    • pp.211-220
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    • 2021
  • The aim of the study is to implement a factor analysis of the determinants of pricing in a state-regulated competitive market using economic and mathematical modelling methods and to develop ways to improve the pricing environment of the market under study. The purpose of the work defines the main objectives: (i) to investigate the features of the competitive model of the Ukrainian flour market; (ii) to analyse the current price conjuncture of the flour market and the dynamics of the main determinants of pricing; (iii)to develop ways of improving the price situation on the flour market on the basis of the factor analysis on the results of economic and mathematical modelling. In order to ensure the reliability and validity of the research results, the following methods were applied: the logical-dialectical method of scientific knowledge in the study of the main theoretical aspects of flour market functioning, the method of logical generalisation and synthesis, comparison, factor analysis, correlation and regression analysis, the graphical method, etc. It has been shown that pricing in a state-regulated competitive market has its own characteristics. For example, in the flour market the price of goods cannot be influenced by producers (sellers) by any methods, therefore determinants of pricing by indirect influence have been taken into account. The five-factor power model of wheat flour price has been constructed. It was substantiated that the price of wheat flour in Ukraine is mostly influenced by consumer price index (0.92 %). The received complex model of wheat flour price may be used also for medium-term forecasting and working out the ways of price formation optimization in the flour market.

Big Data and Knowledge Generation in Tertiary Education in the Philippines

  • Fadul, Jose A.
    • Journal of Contemporary Eastern Asia
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    • 제13권1호
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    • pp.5-18
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    • 2014
  • This exploratory study investigates the use of a computational knowledge engine (WolframAlpha) and social networking sites (Gmail, Yahoo and Facebook) by 200 students at De La Salle-College of Saint Benilde, their "friends" and their "friends of friends" during the 2009 through 2013 school years, and how this appears to have added value in knowledge generation. The primary aim is to identify what enhances productiveness in knowledge generation in Philippine Tertiary Education. The phenomenological approach is used, therefore there are no specific research questions or hypotheses proposed in this paper. Considering that knowledge generation is a complex phenomenon, a stochastic modelling approach is also used for the investigation that was developed specifically to study un-deterministic complex systems. A list of salient features for knowledge generation is presented as a result. In addition to these features, various problem types are identified from literature. These are then integrated to provide a proposed framework of inclusive (friendly) and innovative social networks, for knowledge generation in Philippine tertiary education. Such a framework is necessarily multidisciplinary and useful for problem-solving in a globalized and pluralist reality. The implementation of this framework is illustrated in the three parts of the study: Part 1: Online lessons, discussions, and examinations in General Psychology, Introduction to Sociology, and Life and Works of Jose Rizal, for the author's students in De La Salle-College of Saint Benilde; Part 2: Facebook Report analytics of students and teachers, their friends and their friends of friends via WolframAlpha; and Part 3: Social Network Analysis of the people and groups influencing the courses' scope-and-sequence in the new General Education Curriculum for Tertiary Schools and Institutions in the Philippines.

추상화계층에 기반한 작업영역분석의 모델링 개념 및 적용 원칙 (Work Domain Analysis Based on Abstraction Hierarchy: Modelling Concept and Principles for Its Application)

  • 함동한
    • 대한안전경영과학회지
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    • 제15권3호
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    • pp.133-141
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    • 2013
  • As a work analysis technique, Work Domain Analysis (WDA) aims to identify the design knowledge structure of a work domain that human operators interact with through human-system interfaces. Abstraction hierarchy (AH) is a multi-level, hierarchical knowledge representation framework for modeling the functional structure of any kinds of systems. Thus, WDA based on AH aims to identify the functional knowledge structure of a work domain. AH has been used in a range of work domains and problems to model their functional knowledge structure and has proven its generality and usefulness. However, many of researchers and system designers have reported that it is never easy to understand the concepts underlying AH and use it effectively for WDA. This would be because WDA is a form of work analysis that is different from other types of work analysis techniques such as task analysis and AH has several unique characteristics that are differentiated from other types of function analysis techniques used in systems engineering. With this issue in mind, this paper introduces the concepts of WDA based on AH and offers a comprehensive list of references. Next, this paper proposes a set of principles for effectively applying AH for work domain analysis, which are developed based on the author's experiences, consultation with experts, and literature reviews.

박판제품의 블랭킹 및 피어싱과 굽힘 가공을 위한 순차이송용 공정 및 금형 설계와 가공자동화 시스템 (A Progressive Automated-Process Planning and Die Design and Working System for Blanking or Piercing and Bending of Sheet Metal Product)

  • 최재찬;김철
    • 소성∙가공
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    • 제7권3호
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    • pp.246-259
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    • 1998
  • This paper describes a research work of developing a computer-aided design and manufacturing of irregular shaped sheet metal product for blanking or piercing and bending operations. An approach to the system is based on the knowledge-based rules. Knowledge for the system is formulated from plasticity theories experimental results and the empirical knowledge of field experts, This system has been written in AutoLISp on the AutoCAD and in customer tool kit on the SmartCAM with a personal computer and is composed of nine modules which are input and shape treatment, flat pattern-layout, pro-processor module. Based on the knowledge-based rules, the system is designed by considering several factors, such as material and thickness of product complexities of blank geometry and punch profile sheet metal to give flat pattern and automatically account for the adjustment of bending allowances to match tooling requirements by checking dimensions and generating NC data automatically according to drawings of die-layout module. Results carried out in each module will provide efficiencies to the designer and the manufacturer of blanking or piercing and bending die in this field.

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