• Title/Summary/Keyword: Construct Ability

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Suction Detection in Left Ventricular Assist System: Data Fusion Approach

  • Park, Seongjin
    • International Journal of Control, Automation, and Systems
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    • v.1 no.3
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    • pp.368-375
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    • 2003
  • Data fusion approach is investigated to avoid suction in the left ventricular assist system (LVAS) using a nonpulsatile pump. LVAS requires careful control of pump speed to support the heart while preventing suction in the left ventricle and providing proper cardiac output at adequate perfusion pressure to the body. Since the implanted sensors are usually unreliable for long-term use, a sensorless approach is adopted to detect suction. The pump model is developed to provide the load coefficient as a necessary signal to the data fusion system without the implanted sensors. The load coefficient of the pump mimics the pulsatility property of the actual pump flow and provides more comparable information than the pump flow after suction occurs. Four signals are generated from the load coefficient as inputs to the data fusion system for suction detection and a neural fuzzy method is implemented to construct the data fusion system. The data fusion approach has a good ability to classify suction status and it can also be used to design a controller for LVAS.

A Study on the Multidisciplinary Design Education in Design Academy Eindhoven (네덜란드 디자인 아카데미 아인트호벤의 통합적 디자인 교육에 관한 연구)

  • Kang, Hyun-Dae;Kwak, Chul-An
    • Journal of the Korea Furniture Society
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    • v.23 no.1
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    • pp.47-56
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    • 2012
  • This study particularly looked at educational philosophy and content of Design Academy Eindhoven in Holland which provides multidisciplinary design education. For it might be important data for examining the educational substance and directivity in design that help construct education system in design for a new era among the varying design paradigm. The biggest feature of DAE education system designed for students to optimize their ability with systematic education of 8 contexts with 4 approaches through innovative specialty system. Besides, their interaction helps students major in what is individual specialty. Most of all, the study on the contents of DAE's multidisciplinary education is expected to be significant data for our design education that lacks integrative perspective in the respect that students might be able to develop their identity as an individual designer in changing society beyond the mere technical and formative level of design.

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A 6-degree-of-freedom force-reflecting hand controller using fivebar parallel mechanism (+5각 관절 병렬 구조를 이용한 6자유도 힘 반사형 원격 조종기)

  • 진병대;우기영;권동수
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1545-1548
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    • 1997
  • A Force-refecting hand controller can provide the kinesthetic information obtained from a slave manipulator to the operator of a teleoperation system. This thesis presents the desgn and the analysis of a 6-degree-of-freedom force-reflecting hand controller using fivebar parallel mechanism. The goal of this thesis is to construct a superior hand controller that can provide large workspace and good force-reflecting ability. The forward kinematics of the fivebar paprallel mechanism has been calculated in real-time using three pin-joint sensors in addition to six actuator position sensors. A force decomposition approach is used to comput the Jacobin. To analyze the characteristics of the fivebar parallel mechanism, it has been compared with the other three parallel mechanisms in terms with workspace and manipulability measure. The force-reflecting hand controller using the fivebar parallel mechanism has been constructed and tested to verify the feasibility of the design concept.

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An Intelligent Tracking Method for a Maneuvering Target

  • Lee, Bum-Jik;Joo, Young-Hoon;Park, Jin-Bae
    • International Journal of Control, Automation, and Systems
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    • v.1 no.1
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    • pp.93-100
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    • 2003
  • Accuracy in maneuvering target tracking using multiple models relies upon the suit-ability of each target motion model to be used. To construct multiple models, the interacting multiple model (IMM) algorithm and the adaptive IMM (AIMM) algorithm require predefined sub-models and predetermined acceleration intervals, respectively, in consideration of the properties of maneuvers. To solve these problems, this paper proposes the GA-based IMM method as an intelligent tracking method for a maneuvering target. In the proposed method, the acceleration input is regarded as an additive process noise, a sub-model is represented as a fuzzy system to compute the time-varying variance of the overall process noise, and, to optimize the employed fuzzy system, the genetic algorithm (GA) is utilized. The simulation results show that the proposed method has a better tracking performance than the AIMM algorithm.

A SIMPLE ALFORITHM FOR MAINTAINING ACJACENCY AND REMESHENG PROECSS IN DELAUNAY-VORONOII TRIANGULATION (들로네이-보로노이 삼각요소생성기법에 있어서 인접성유지와 요소재생성과정을 위한 단순알고리즘 연구)

  • 송영준
    • Computational Structural Engineering
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    • v.6 no.3
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    • pp.99-112
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    • 1993
  • One of the characteristics of Delaunay-Voronoii methods of mesh generation is local remeshing ability in comparison with other methods, which is very useful in adaptive finite element applications. Main part of the process is to construct remeshing element group out of the whole elements and to remesh it. Adjacent element array, accompanied with an additional algorithm of several lines, is introduced to make the process simple so that implementation of the concept is possible at the level of general PC users.

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Superconducting high gradient magnetic separation for magnetic substance at sludge powder of hot rolled coolant

  • Kwon, Jun-Mo;Ha, Dong-Woo;Kim, Tae-Hyung;Cho, Mun-Dak;Choi, Woo-Hyuk
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2009.06a
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    • pp.353-353
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    • 2009
  • It is an important task to construct a recycling society with a low damage on the environment in our century. Magnetic separation is expected to be applied for the industrial waste treatment as an important supporting technology. In the magnetic separation of dry condition, the cohesive force between particles is strong compared with that in the wet condition's magnetic separation. The use of high magnetic field by the superconducting magnet enhances the powder's magnetic substance capture ability of the magnetic separation. In this study, the POSCO's coolant sludge of hot rolled steel was used for the superconducting magnetic separation of dry condition. Cryo-cooled NB-Ti superconducting magnet with 100 mm room temperature bore and 600 mm of height was used for magnetic separator.

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Wavelet-Based Fuzzy System Modeling Using VEGA (VEGA를 이용한 웨이브릿 기반 퍼지 시스템 모델링)

  • 이승준;주영훈;박진배
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.11a
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    • pp.149-152
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    • 2000
  • This paper addresses the wavelet fuzzy modeling using Virus-Evolutionary Genetic Algorithm (VEGA). We build a fuzzy system model which is equivalent to the wavelet transform after identifying the coefficients of wavelet transform. We can obtain an accurate system model with a small number of coefficients due to the energy compaction property of the wavelet transform. It thus means that we can construct a fuzzy system model with a small number of rules. In order to identify the wide-ranged coefficients of the wavelet transform, VEGA is adopted, which has prominent ability to avoid premature local convergence that is suitable to complex optimization problems. We demonstrate the superiority of our proposed fuzzy system modeling method over the previous results by modeling nonlinear function.

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The Validity and Reliability of the Daegu Diagnostic Aphasia Examination (대구 실어증 진단검사 개발 및 표준화 연구 -신뢰도와 타당도-)

  • Kim, Ji-Chae;Ahn, Jong-Bok;Lee, Ok-Bun;Hwang, Young-Jin;Jeong, Ok-Ran
    • Speech Sciences
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    • v.12 no.3
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    • pp.7-17
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    • 2005
  • This study aimed at investigating the validity and reliability of the Daegu Diagnostic Aphasia Examination (DDAE). The DDAE has been developed to assess aphasics' receptive and expressive language ability. One hundred and forty eight aphasics (96 males and 52 females) diagnosed as aphasics participated in this study. Reliability coefficients showed that the DDAE was highly consistent and accurate (Cronbach's a = .76$\sim$.82). For its' content-validity, a 5-point scale was administered. Four speech and language pathologists served as evaluator. The receptive language mean score was 4.29, the expressive language mean score was 4.09, and the right-hemisphere function mean score was 4.00. For construct validity, the correlation total scores were calculated. The results showed a significant correlation.

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Development of the arm mounted display VR system using spherical screen (구형 스크린을 이용한 준몰입형 VR 시스템 개발)

  • Suh, Myung-Won;Park, Dae-Yu;Cho, Ki-Yong
    • Proceedings of the KSME Conference
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    • 2001.06c
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    • pp.207-212
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    • 2001
  • The virtual reality technology has been developed as the computer and computer graphic technology are progressed. However it has still the limits of the use because of it costs a great for system construction. A virtual reality technology is the best application example to reduce time and cost of development in engineering. Actually, VR(Virtual reality) technology has given engineers the ability to design, test and evaluate engineering systems in a virtual environment. The objective of this paper is to construct the arm mounted display VR system by using 3 channel spherical screen and to show its capabilities of an engineering system development. This paper describes the development of arm mounted display VR system with 3 channel spherical screen system and the generation of 3 channel graphic modules. The arm mounted display VR system provides a highly economical efficiency because of it uses a popular computer system as a graphic server.

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Development of Model of Shear Strength Estimative for Steel Fiber Reinforced Concrete Using Neural Network (신경망 기법을 이용한 강섬유 혼입 콘크리트의 전단강도 추정 모형 개발)

  • Kwak, Kae-Hwan;Hwang, Hae-Sung;Kim, Woo-Jong;Jang, Hwa-Sup;Kang, Shin-Muk
    • Journal of The Korean Society of Agricultural Engineers
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    • v.49 no.2
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    • pp.27-36
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    • 2007
  • This study, the present study wishes to develop a model that estimates shear strength characteristics of steel fiber reinforced concrete using artifical neural network models. Neural network models, developed as mathematical models, are being widely used not only in its original purpose of pattern recognition, but also in application fields by the function's nonlinear loaming and interpolar ability Neural network has a repetitive rotation algorithm that can cyclically and repeatedly estimate system conditions and parameter ideal values, and it can be used in the modeling of the nonlinear system by nonlinear characteristic functions that construct the system.