• Title/Summary/Keyword: complex representation

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An object-oriented approach to the cell activity representation for an intelligent manufacturing system (IMS)

  • Choi, Kyunghyun;Cho, Kyu-Kab
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.39-42
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    • 1995
  • A new methodology for representing the interaction between machines and the interlock signals required in FMCs has been developed. Object-Oriented Philosophies (OOPs) lend themselves to the development of such a scheme. A methodology developed here regards the tasks to be performed by the cell or any of its constituent machines for being primal. Sensory signals indicating the changes of state pf machines are used to trigger or initiate tasks. A task may be simple and require a relatively short time to execute, or may be complex and lengthy. This methodology may be depicated by a set of diagrams called Task Initiation Diagram (TID) and their accompanying rules.

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A Study on a Real-Coded Genetic Algorithm (실수코딩 유전알고리즘에 관한 연구)

  • Jin, Gang-Gyoo;Joo, Sang-Rae
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.4
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    • pp.268-275
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    • 2000
  • The increasing technological demands of today call for complex systems, which in turn involve a series of optimization problems with some equality or inequality constraints. In this paper, we presents a real-coded genetic algorithm(RCGA) as an optimization tool which is implemented by three genetic operators based on real coding representation. Through a lot of simulation works, the optimum settings of its control parameters are obtained on the basis of global off-line robustness for use in off-line applications. Two optimization problems are Presented to illustrate the usefulness of the RCGA. In case of a constrained problem, a penalty strategy is incorporated to transform the constrained problem into an unconstrained problem by penalizing infeasible solutions.

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Global Economic Governance Reform and the Role of Asia: Opportunities Offered by the G20

  • Cho, Yoon Je
    • East Asian Economic Review
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    • v.16 no.1
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    • pp.3-23
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    • 2012
  • The recent global financial crisis has highlighted the importance of international monetary and financial system reform. The current system is deemed to be no longer adequate to meet the needs of a complex, integrated world economy. With regards to the reform of the international monetary system, there have been various proposals both in demand and supply sides. These include proposals to build a stronger global financial safety net, to diversify the supply of international reserve currency and so on. These proposals face trade-offs between desirability and political feasibility. Given this situation, a practical transition would be to strengthen policy coordination among the major economies and to reform the International Monetary Fund. The success on both fronts depends heavily on global economic governance reform and the role of the G20. Increased status and representation of Asian countries in the G20 give both privileges and responsibilities to Asians. To meet these responsibilities, Asians should put forth greater efforts to develop their intellectual leadership in global economic issues through creating new forum and institutions.

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Non-Gaussian approach for equivalent static wind loads from wind tunnel measurements

  • Kassir, Wafaa;Soize, Christian;Heck, Jean-Vivien;De Oliveira, Fabrice
    • Wind and Structures
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    • v.25 no.6
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    • pp.589-608
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    • 2017
  • A novel probabilistic approach is presented for estimating the equivalent static wind loads that produce a static response of the structure, which is "equivalent" in a probabilistic sense, to the extreme dynamic responses due to the unsteady pressure random field induced by the wind. This approach has especially been developed for complex structures (such as stadium roofs) for which the unsteady pressure field is measured in a boundary layer wind tunnel with a turbulent incident flow. The proposed method deals with the non-Gaussian nature of the unsteady pressure random field and presents a model that yields a good representation of both the quasi-static part and the dynamical part of the structural responses. The proposed approach is experimentally validated with a relatively simple application and is then applied to a stadium roof structure for which experimental measurements of unsteady pressures have been performed in boundary layer wind tunnel.

Siamese Network for Learning Robust Feature of Hippocampi

  • Ahmed, Samsuddin;Jung, Ho Yub
    • Smart Media Journal
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    • v.9 no.3
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    • pp.9-17
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    • 2020
  • Hippocampus is a complex brain structure embedded deep into the temporal lobe. Studies have shown that this structure gets affected by neurological and psychiatric disorders and it is a significant landmark for diagnosing neurodegenerative diseases. Hippocampus features play very significant roles in region-of-interest based analysis for disease diagnosis and prognosis. In this study, we have attempted to learn the embeddings of this important biomarker. As conventional metric learning methods for feature embedding is known to lacking in capturing semantic similarity among the data under study, we have trained deep Siamese convolutional neural network for learning metric of the hippocampus. We have exploited Gwangju Alzheimer's and Related Dementia cohort data set in our study. The input to the network was pairs of three-view patches (TVPs) of size 32 × 32 × 3. The positive samples were taken from the vicinity of a specified landmark for the hippocampus and negative samples were taken from random locations of the brain excluding hippocampi regions. We have achieved 98.72% accuracy in verifying hippocampus TVPs.

Design of Hew Neural network Classifier based on novel neurons with new boundary description (새로운 경계 묘사 뉴런을 가지는 신경회로망 분류기 설계)

  • 고국원;김종형;조형석
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.19-19
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    • 2000
  • This paper introduces a new scheme for neural network classifier which can describe the shape of patterns in clustered group by using a self-organizing teeming algorithm. The prototype based neural network classifier can not describe the shape of group and it has low classification performance when the data groups are complex. To improve above-mentioned problem, new neural scheme is introduced. This proposed neural network algorithm can be regarded as the extension of self-organizing feature map which can describe The experimental results shows that the proposed algorithm can describe the shape of pattern successfully.

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A development of an ontology model and an ontology based design system for the excavator design (굴삭기 설계 영역에 대한 온톨로지 모델 및 온톨로지 기반 설계 시스템 개발)

  • Bae I.J.;Lee S.H.;Jeon C.M.;Chang J.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.613-614
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    • 2006
  • Design data, information, and knowledge have complex associations with each other. Systems related with the management of the data, information, and knowledge are various, and the representations are numerous. Therefore it is difficult to construct a knowledge based design system with a full association knowledge for supporting the design tasks. In this research, OWL based ontology model for an excavator design is developed for the representation of the relationships. Also an ontology model is used to develop the knowledge based excavator design system.

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Counter weight design for a W/V type reciprocating air compressor (W형 및 V형 왕복동 공기압축기의 평형추 설계)

  • 김영철;성세제;김영주;최상규
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.05a
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    • pp.227-233
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    • 2002
  • For the purpose of high outlet pressure, compactness and low vibration and noise, modem reciprocating air compressors are tend to have a multi-stage W-type or V-type cylinder arrangement. An effective counter weight calculation method is presented for reducing the inertia forces of the compressor. This calculation method is using the complex representation and verified its validity. A design program for the counter weight of W-type or V-type air compressor was presented to the manufacturer, A designed counter weight was attached to the W-type or V-type air compressor. Vibration test results gave us improved performance.

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Transition and Parsing State and Incrementality in Dynamic Syntax

  • Kobayashi, Masahiro;Yoshimoto, Kei
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.249-258
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    • 2007
  • This paper presents an implementation of a gramar of Dynamic Syntax for Japanese. Dynamic Syntax is a grammar formalism which enables a parser to process a sentence in an incremental fashion, establishing the semantic representation. Currently the application of lexical rules and transition rules in Dynamic Syntax is carried out arbitrarily and this leads to inefficient parsing. This paper provides an algorithm of rule application and partitioned parsing state for efficient parsing with special reference to processing Japanese, which is one of head-final languages. At the present stage the parser is still small but can parse scrambled sentences, relative clause constructions, and embedded clauses. The parser is written in Prolog and this paper shows that the parser can process null arguments in a complex sentence in Japanese.

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Integrated CAD/CAE System for Planing Hull Form Design (활주형 선박의 선형설계를 위한 통합 CAD/CAE 시스템)

  • 김태윤;김동준
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.39 no.4
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    • pp.298-304
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    • 2003
  • In this paper a free-form hull design program and performance prediction program for planing boat is introduced. This program enables the designer to do complex geometric hull shape design on a personal computer and accurately to predict power requirements for a given loading and velocity. For a free form design, Bezier curve model is adopted as a basic representation tool of curves and surfaces, and this program has versatile functions to do fairing jobs with a convenient graphical user interface. After creating a hull form the geometric data is provided in a manner compatible with a variety of analysis tools including 'Motion Analysis(by Zarnick)' for prediction of motion characteristics in regular waves, 'Running Attitude (by Savitsky)' for prediction of the running attitude and required power.