• Title/Summary/Keyword: network theory

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Automated Structural Design System Using Fuzzy Theory and Neural Network

  • Lee, Joon-Seong
    • International Journal of Precision Engineering and Manufacturing
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    • v.3 no.1
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    • pp.43-48
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    • 2002
  • This paper describes an automated computer-aided engineering (CAE) system for three-dimensional structures. An automatic finite element mesh-generation technique, which is based on fuzzy knowledge processing and computational geometry techniques, is incorporated into the system, together with a commercial FE analysis code, and a commercial solid modeler. The system allows a geometry model of interest to be automatically converted to different FE models, depending on the physical phenomena of the structures to be analyzed, i.e., electrostatic analysis, stress analysis, modal analysis, and so on. Also, with the aid of multilayer neural networks, the present system allows us to obtain automatically a design window in which a number of satisfactory design solutions exist in a multi-dimensional design parameter space. The developed CAE system is successfully applied to evaluate an electrostatic micromachines.

Model of Least Square Support Vector Machine (LSSVM) for Prediction of Fracture Parameters of Concrete

  • Kulkrni, Kallyan S.;Kim, Doo-Kie;Sekar, S.K.;Samui, Pijush
    • International Journal of Concrete Structures and Materials
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    • v.5 no.1
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    • pp.29-33
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    • 2011
  • This article employs Least Square Support Vector Machine (LSSVM) for determination of fracture parameters of concrete: critical stress intensity factor ($K_{Ic}^s$) and the critical crack tip opening displacement ($CTOD_c$). LSSVM that is firmly based on the theory of statistical learning theory uses regression technique. The results are compared with a widely used Artificial Neural Network (ANN) Models of LSSVM have been developed for prediction of $K_{Ic}^s$ and $CTOD_c$, and then a sensitivity analysis has been performed to investigate the importance of the input parameters. Equations have been also developed for determination of $K_{Ic}^s$ and $CTOD_c$. The developed LSSVM also gives error bar. The results show that the developed model of LSSVM is very predictable in order to determine fracture parameters of concrete.

A SURVEY OF STATE ESTIMATION AND APPLICATION FOR ALLOCATION LSP CAPACITY ON MPLS NETWORK

  • Tri Do-Minh;San Nguyen-Ngoc;Jeong You-Hyeon
    • 한국정보통신설비학회:학술대회논문집
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    • 2006.08a
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    • pp.145-150
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    • 2006
  • For most of the measuring methods of traditional control theory, measuring equipments are located at the output of the system to measure quantities transformed from non-electrical form into electrical one. This method helps us to define the value of parameters to be measured, but it has limitation because it can only assess the efficiency of a movement process. That means we can not understand the inner kinetics which is the essence of the system. In the modern control theory, states of system are considered as the feedback to the control process, which helps us to assess the elements in the inside of the system. In this paper, we survey methods for estimating states being not exposed to the correct measurements. Using this method, we also suggest an application for giving an estimate of the traffic on the LSPs to adapt the network configuration for changing traffic conditions.

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Text Categorization for Authorship based on the Features of Lingual Conceptual Expression

  • Zhang, Quan;Zhang, Yun-liang;Yuan, Yi
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.515-521
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    • 2007
  • The text categorization is an important field for the automatic text information processing. Moreover, the authorship identification of a text can be treated as a special text categorization. This paper adopts the conceptual primitives' expression based on the Hierarchical Network of Concepts (HNC) theory, which can describe the words meaning in hierarchical symbols, in order to avoid the sparse data shortcoming that is aroused by the natural language surface features in text categorization. The KNN algorithm is used as computing classification element. Then, the experiment has been done on the Chinese text authorship identification. The experiment result gives out that the processing mode that is put forward in this paper achieves high correct rate, so it is feasible for the text authorship identification.

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Studying Structural Evaluation of Web Link Structure and Performance in Destination Marketing Organizations (웹링크 구조와 웹사이트 성과간의 구조적 평가에 관한 연구: 컨벤션비지터뷰로(CVB)를 대상으로)

  • Joun, Hyo-Jae;Cho, Nam-Jae
    • Journal of Digital Convergence
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    • v.5 no.2
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    • pp.91-98
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    • 2007
  • Destination marketing organizations (DMO) have been building up the cyber city in the WWW. Website for DMO is a core channel to promote regional attractions. This research suggests the issue of criteria for evaluating DMO's performance in the Internet. The method of evaluation focuses on the structure in perspective of linkage based on small world theory and direct network. Convention & Visitors & Bureau (CVB) in tourism and travel industry playa role to promote and held the international meeting and exhibitions. CVB's websites evaluated according to web link structure and performance.

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An Evaluation of the Collaborative Urban Environment Improvement Initiative in South Korea: A Case Study of Demolishing Walls Initiative in Daegu City (한국의 공동체 도시환경 개선사업 평가: 대구광역시 담장허물기사업을 사례로)

  • Kim Soobong
    • Journal of Environmental Science International
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    • v.13 no.10
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    • pp.863-870
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    • 2004
  • The main objectives of this research are to analyse and evaluate the demolishing walls initiative in Daegu city as the collaborative urban environment improvement initiative in South Korea using the actor network theory concept. Local authorities are unable to effectively and efficiently improve urban environment because of their limited statutory and financial powers. This inability crucially led to the formation of the demolishing walls initiative in Daegu city with building a coalition of the local people, interest groups and public and non-governmental organisations in the operational processes in order to improve the physical and social urban environments. Furthermore, co-ordination between local authorities and landscape architecture specialists not only to change the way in which they tackle urban environmental problems but also to make the local people aware of their potential ability in positively improving the urban environment.

Direct Adaptive Control Based on Neural Networks Using An Adaptive Backpropagation Algorithm (적응 역전파 학습 알고리즘을 이용한 신경회로망 제어기 설계)

  • Choi, Kyoung-Mi;Choi, Yoon-Ho;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1730-1731
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    • 2007
  • In this paper, we present a direct adaptive control method using neural networks for the control of nonlinear systems. The weights of neural networks are trained by an adaptive backpropagation algorithm based on Lyapunov stability theory. We develop the parameter update-laws using the neural network input and the error between the desired output and the output of nonlinear plant to update the weights of a neural network in the sense that Lyapunove stability theory. Beside the output tracking error is asymptotically converged to zero.

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Analysis of the Closed-Loop Supply Chain Focusing on Power Batteries in China

  • Chen, Jinhui;Jin, Chan-Yong
    • Journal of information and communication convergence engineering
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    • v.19 no.2
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    • pp.84-92
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    • 2021
  • The research on waste power batteries in China in the past ten years reveals that the power battery recycling industry is enormous but marred with several challenges. A study of China's current power battery closed-loop supply chain revealed some issues in the power battery recycling industry, such as imperfect supply chain, small recycling scale, asymmetric information, and imperfect profit distribution mechanism. This paper uses the theory of corporate social responsibility and consumer choice to propose a closed-loop network of power batteries based on block chain technology and analyzes the existing closed-loop supply chain of power batteries. Consequently, this study provides a new idea for developing the power battery closed-loop supply chain by proposing the closed-loop network of power batteries based on blockchain technology.

Information and Methodological Technologies of the Marketing Activity Management System in Higher Education Institutions

  • Fursykova, Tetiana;Boychuk, Inna;Baluk, Nadiia;Karpii, Olena;Korotka, Viktoriia
    • International Journal of Computer Science & Network Security
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    • v.21 no.12spc
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    • pp.383-390
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    • 2021
  • The main purpose of the study is to determine the features of the functioning of the university as a part of the state structure in the context of marketing management n the context of storing information technologies. Students were obtained due to the following theoretical methods: systems of analysis and synthesis, induction and deduction, comparison, classification, generalization and systematization, idealization and abstraction. It is advisable to study the essence and nature of educational services, as well as the role of education in economic development, relying on the methodology of institutional theory, the theory of stakeholders, which makes it possible to assess the contribution of education to the harmonization of public and individual interests, the formation of appropriate structures and subjects of development, ensuring the building of intellectual potential and quality of life. The specificity of the functioning of the university as a part of the state structure in terms of managing marketing activities was characterized.

COMPUTATION OF SOMBOR INDICES OF OTIS(BISWAPPED) NETWORKS

  • Basavanagoud, B.;Veerapur, Goutam
    • Journal of the Chungcheong Mathematical Society
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    • v.35 no.3
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    • pp.205-225
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    • 2022
  • In this paper, we derive analytical closed results for the first (a, b)-KA index, the Sombor index, the modified Sombor index, the first reduced (a, b)-KA index, the reduced Sombor index, the reduced modified Sombor index, the second reduced (a, b)-KA index and the mean Sombor index mSOα for the OTIS biswapped networks by considering basis graphs as path, wheel graph, complete bipartite graph and r-regular graphs. Network theory plays a significant role in electronic and electrical engineering, such as signal processing, networking, communication theory, and so on. A topological index (TI) is a real number associated with graph networks that correlates chemical networks with a variety of physical and chemical properties as well as chemical reactivity. The Optical Transpose Interconnection System (OTIS) network has recently received increased interest due to its potential uses in parallel and distributed systems.