• Title/Summary/Keyword: systems-theory

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Comparative studies of density functionals in modelling hydrogen bonding energetics of acrylamide dimers

  • Lin, Yi-De;Wang, Yi-Siang;Chao, Sheng D.
    • Coupled systems mechanics
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    • v.6 no.3
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    • pp.369-376
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    • 2017
  • Intermolecular interaction energies and conformer geometries of the hydrogen bonded acrylamide dimers have been studied by using the second-order Møller-Plesset (MP2) perturbation theory and the density functional theory (DFT) with 17 density functionals. Dunning's correlation consistent basis sets (up to aug-cc-pVTZ) have been used to study the basis set effects. The DFT calculated interaction energies are compared to the reference energy data calculated by the MP2 method and the coupled cluster method at the complete basis set (CCSD(T)/CBS) limit in order to determine the relative performance of the studied density functionals. Overall, dispersion-energy-corrected density functionals outperform uncorrected ones. The ${\omega}B97XD$ density functional is particularly effective in terms of both accuracy and computational cost in estimating the reference energy values using small basis sets and is highly recommended for similar calculations for larger systems.

A Study on Data Clustering Method Using Local Probability (국부 확률을 이용한 데이터 분류에 관한 연구)

  • Son, Chang-Ho;Choi, Won-Ho;Lee, Jae-Kook
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.1
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    • pp.46-51
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    • 2007
  • In this paper, we propose a new data clustering method using local probability and hypothesis theory. To cluster the test data set we analyze the local area of the test data set using local probability distribution and decide the candidate class of the data set using mean standard deviation and variance etc. To decide each class of the test data, statistical hypothesis theory is applied to the decided candidate class of the test data set. For evaluating, the proposed classification method is compared to the conventional fuzzy c-mean method, k-means algorithm and Discriminator analysis algorithm. The simulation results show more accuracy than results of fuzzy c-mean method, k-means algorithm and Discriminator analysis algorithm.

Implementation of Uniform Deformation Theory in semi-active control of structures using fuzzy controller

  • Mohammadi, Reza Karami;Haghighipour, Fariba
    • Smart Structures and Systems
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    • v.19 no.4
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    • pp.351-360
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    • 2017
  • Protection of structures against natural hazards such as earthquakes has always been a major concern. Semi-active control combines the reliability of passive control and versatility and adaptability of active control. So it has recently become a preferred control method. This paper proposes an algorithm based on Uniform Deformation Theory to mitigate vulnerable buildings using magneto-rheological (MR) damper. Due to the successful performance of fuzzy logic in control of systems and its simplicity and intrinsically robustness, it is used here to regulate MR dampers. The particle swarm optimization (PSO) algorithm is also used as an adaptive method to develop a fuzzy control algorithm that is able to create uniform inter-story drifts. Results show that the proposed algorithm exhibited a desirable performance in reducing both linear and nonlinear seismic responses of structures. Performance of the presented method is indicated in compare with passive-on and passive-off control algorithms.

Dynamic Web Page Personalization Using Intimacy Theory (친밀도 이론을 이용한 웹 페이지의 동적 개인화)

  • Kim, Jin-Hwa;Byun, Hyun-Soo
    • Asia pacific journal of information systems
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    • v.14 no.4
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    • pp.147-162
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    • 2004
  • A major difference between on-line services and off-line services is in the quality of the service they provide. On-line services lack of dynamic interface between customers and service providers. Traditional studies on personalizing web services do not consider the intimacy level of customers to web services. This study suggests a web personalizing method to satisfy customers in on-line using intimacy theory, cluster analysis, and data mining. The goal of this study is to support customers in web with more intimate service. It also offers improved services to customers by personalizing web services dynamically.

A Qualitative Study on the Process of Knowledge Creation at the Infusion Stage in IT Implementation (정보기술구현 내부확산단계에서 지식창조과정에 관한 질적 연구)

  • Baek Sang-Yong;Park Kyong-Soo
    • The Journal of Information Systems
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    • v.15 no.2
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    • pp.125-152
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    • 2006
  • The purpose of this study is to explore the process of knowledge creation at the infusion stage in IT adoption. Because of the lack of the prior research on the infusion and the process of individual knowledge creation we employed Grounded Theory Method which is a qualitative method for building a theory inductively. Collecting and analyzing data from 13 knowledge workers including medical doctors, project managers, and bankers, a process model is developed through the serial process of open, axial and selective coding. We conceptualized the knlowledge creation at the infusion stage as a social process where knowledge is expressed through private and public justifications. This study also found that organizational politics, top management supports, and organization strategy are important factors facilitating the knowledge creation process.

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혁신확산이론 기반의 CRM 품질요인과 성과에 관한 연구

  • Jin, Chan-Yong;Kim, Do-Goan
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2008.10b
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    • pp.194-198
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    • 2008
  • Under the rapid change of business circumstance to E-business, CRM is one of the major strategic choices to reinforce the relationship with customers. In this point, this study attempts to understand the relationships among the quality of CRM and the variables of post adoption on the innovation diffusion theory. With integration of information system success model and innovation diffusion theory, it developed a research model and several hypotheses focusing on CRM performance of post-adoption. To testify the hypotheses, it conducted a survey on insurance industry and performed a statistical analysis for the research model with structure equation model. The results show that the factors of CRM quality (system, service, and information) have significant relationships with level of CRM usage and satisfaction. And the relationships between satisfaction and CRM performance and between CRM performance and intension of CRM extension are found as statistically significant.

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Fuzzy Theory based Electronic Commerce Navigation Agent that can Process Natural Language (자연어 처리가 가능한 퍼지 이론 기반 전자상거래 검색 에이전트)

  • 김명순;정환묵
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.3
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    • pp.246-251
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    • 2001
  • In this paper, we proposed the intelligent navigation agent model for successive electronic commerce system management. Fuzzy theory is very useful method where keywords have vague conditions and system must process that conditions. So, using fuzzy theory, we proposed the model that can process the vague keywords effectively. Through the this, we verified that we can get the more appropriate navigation result than any other crisp retrieval keywords condition.

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Parametric Study on Bellows of Piping System Using Fuzzy Theory

  • Lee Yang-Chang;Lee Joon-Seong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.6 no.1
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    • pp.58-63
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    • 2006
  • This paper describes a novel automated analysis system for bellows of piping system. An automatic finite element (FE) mesh generation technique, which is based on the fuzzy theory and computational geometry technique, is incorporated into the system, together with one of commercial FE analysis codes and one of commercial solid modelers. In this system, a geometric model, i.e. an analysis model, is first defined using a commercial solid modelers for 3-D shell structures. Node is generated if its distance from existing node points is similar to the node spacing function at the point. The node spacing function is well controlled by the fuzzy knowledge processing. The Delaunay triangulation technique is introduced as a basic tool for element generation. The triangular elements are converted to quadrilateral elements. Practical performances of the present system are demonstrated through several analysis for bellows of piping system.

A Study on the Property of Post-Structuralism in Fashion illustration by Delouse (패션 일러스트레이션에 나타나는 들뢰즈의 포스트구조주의적 특성 연구)

  • 권정숙
    • Journal of the Korean Society of Costume
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    • v.54 no.5
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    • pp.83-93
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    • 2004
  • The purpose of this study is to examine the relationship between thought systems of post-structuralism by Deleuze and digital culture which is the core topic of social and cultural discussion. And this study also aims to grasp the diversity and movable thinking shown in fashion illustration from the aesthetic thought systems of post-structuralism theory by Deleuze. Furthermore, this study intends to ascertain the concrete representation characteristics and its significance of fashion illustration by analyzing works on the basis of the above-mentioned theory. What are discussed in this paper can be summarized as follows First, this study examined the post-structuralism which supplies the theoretic basis for figuring out the principles of diversity and movable thinking. Second, this study examined the relationship between the open structure and movable individuality of Deleuze who is a representative scholar of post- structuralism. Third, this study analyzed the representative characteristics and aesthetic value to which the principles of post-structuralism, derived from the aesthetic theory of Deleuze, was applied.

Uncertain Programming Model for Chinese Postman Problem with Uncertain Weights

  • Zhang, Bo;Peng, Jin
    • Industrial Engineering and Management Systems
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    • v.11 no.1
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    • pp.18-25
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    • 2012
  • IChinese postman problem is one of the classical combinatorial optimization problems with many applications. However, in application, some uncertain factors are frequently encountered. This paper employs uncertain programming to deal with Chinese postman problem with uncertain weight Within the framework of uncertainty theory, the concepts of expected shortest route, ${\alpha}$-shortest route, and distribution shortest route are proposed. After that, expected shortest model, and ${\alpha}$-shortest model are constructed. Taking advantage of properties of uncertainty theory, these models can be transf-ormed into their corresponding deterministic forms, which can be solved by classical algorithm..