• Title/Summary/Keyword: System functions

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Unknown Inputs Observer Design Via Block Pulse Functions

  • Ahn, Pius
    • Transactions on Control, Automation and Systems Engineering
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    • v.4 no.3
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    • pp.205-211
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    • 2002
  • Unknown inputs observer(UIO) which is achieved by the coordinate transformation method has the differential of system outputs in the observer and the equation for unknown inputs estimation. Generally, the differential of system outputs in the observer can be eliminated by defining a new variable. But it brings about the partition of the observer into two subsystems and need of an additional differential of system outputs still remained to estimate the unknown inputs. Therefore, the block pulse function expansions and its differential operation which is a newly derived in this paper are presented to alleviate such problems from an algebraic form.

Self Diagnosing Property of Carbon and Glass Hybrid Fiber Materials for Concrete Strengthening (자기진단 재료로서의 콘크리트 보강용 탄소유리복합섬유로드의 적용성 검토)

  • Park, Seok-Kyun;Lee, Byung-Jae
    • Proceedings of the Korea Concrete Institute Conference
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    • 2004.05a
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    • pp.428-431
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    • 2004
  • Smart structural system is defined as structural system with a certain-level of autonomy relying on the embedded functions of sensors, actuators and processors, that can automatically adjust structural characteristics, in response to the change in external disturbance and environments, toward structural safety and serviceability as well as the extension of structural service life. In this study, carbon and glass hybrid fiber materials were investigated fundamentally for the applicability of self diagnosis in smart concrete structural system as embedded functions of sensors.

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STABILITY ANALYSIS FOR PREDATOR-PREY SYSTEMS

  • Shim, Seong-A
    • The Pure and Applied Mathematics
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    • v.17 no.3
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    • pp.211-229
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    • 2010
  • Various types of predator-prey systems are studied in terms of the stabilities of their steady-states. Necessary conditions for the existences of non-negative constant steady-states for those systems are obtained. The linearized stabilities of the non-negative constant steady-states for the predator-prey system with monotone response functions are analyzed. The predator-prey system with non-monotone response functions are also investigated for the linearized stabilities of the positive constant steady-states.

An Intelligent Measuring and inspection System On the Machine Tools (온더머신 지능형 측정 및 검사시스템)

  • 김경돈
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1996.10a
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    • pp.101-106
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    • 1996
  • Interactive Measuring part Program Generating Tools (IMPPGT) realized on the FANUC 15MA using touch trigger probes and interactive macro functions os the CNC were developed for an intelligent measuring and inspection systems on the machine tools. Menu driven measuring and inspection functions of the IMPPGT were studied and implemented on the CNC through the macro executer and ROM writer. In order to automate measurement and inspection procedures in machine shops measuring G Code system was also proposed. Using the developed measuring G Code system on the machine tool untended measurement and inspection operation was able to be realized in FMS lines.

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An Adaptive Neuro-Fuzzy System Using Fuzzy Min-Max Networks (퍼지 Min-Max 네트워크를 이용한 적응 뉴로-퍼지 시스템)

  • 곽근창;김성수;김주식;유정웅
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.367-367
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    • 2000
  • In this paper, an Adaptive neuro-fuzzy Inference system(ANFIS) using fuzzy min-max network(FMMN) is proposed. Fuzzy min-max network classifier that utilizes fuzzy sets as pattern classes is described. Each fuzzy set is an aggregation of fuzzy set hyperboxes. Here, the proposed method transforms the hyperboxes into gaussian membership functions, where the transformed membership functions are inserted for generating fuzzy rules of ANFIS. Finally, we applied the proposed method to the classification problem of iris data and obtained a better performance than previous works.

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Development of Operating Rules for Automated Guided Vehicle Systems in Heterarchical Manufacturing System (자치제어구조 생산시스템에서 무인운반차량 시스템의 운영정책 개발)

  • Hwang, Hark;Kim, Sang-Hwi
    • Journal of Korean Institute of Industrial Engineers
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    • v.23 no.2
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    • pp.343-357
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    • 1997
  • This paper proposes a new AGV dispatching algorithm which is suitable for heterarchical manufacturing control structure. It is developed on the basis of bidding concept utilizing the information of work-in-process in incoming and outgoing buffers of workstation, and travel time of AGV. Since the bidding functions are functions of two parameters, sensitivity test is performed to find their appropriate values. The performance of the algorithm is compared with those of well-known existing rules in terms of system throughput through simulation on a hypothetical job shop type manufacturing system.

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Monocular 3D Vision Unit for Correct Depth Perception by Accommodation

  • Hosomi, Takashi;Sakamoto, Kunio;Nomura, Shusaku;Hirotomi, Tetsuya;Shiwaku, Kuninori;Hirakawa, Masahito
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1334-1337
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    • 2009
  • The human vision system has visual functions for viewing 3D images with a correct depth. These functions are called accommodation, vergence and binocular stereopsis. Most 3D display system utilizes binocular stereopsis. The authors have developed a monocular 3D vision system with accommodation mechanism, which is useful function for perceiving depth.

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Development of a Suspension Design System based on Simulations (시뮬레이션 기반 현가장치 설계 시스템 개발)

  • Han Hyung Suk;Moon Young-cheol;Moon Seok-jun;Kim Byung-hun
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.793-798
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    • 2005
  • The performance functions of a suspension must provide often place conflicting demands upon rail bogie design since design parameters which may be altered to improve performance in one area may simultaneously reduce performance in another area. To determine compromised design parameters, it is need to carry out a number of simulations and trade-off studies. The suspension design system based on computer simulations is presented. The system is composed of analysis solvers and GUI which have functions such as modeling, analysis and sensitivity analysis.

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A Function Network Analyzer for Efficient Analysis of Automotive Operating System

  • Yu, Lu Zheng;Choi, Yunja
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.972-975
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    • 2013
  • This work developed a code analysis & extraction tool named Function Network Analyzer (FNA) to reduce the cost of software safety analysis. FNA analyzes functions and variables which a given function depends on, and extracts subset of code that can be compiled of automotive operating system, final resulting a well-ordered code sequence that can be compiled for model checking technique. And the experimental result illustrates that FNA can get 100% accurate rate and over 96% reduction rate by testing API functions from trampoline system.