• Title/Summary/Keyword: Physical constraints

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A Study on Causality Among Leisure Identity Salience, Leisure Constraints Negotiation, and Intentions for Participating Leisure Activity (여가제약 수준에 따른 여가정체성 현출성, 여가제약 협상전략 및 여가활동 참가의도 간의 인과관계 검증)

  • Oh, Sae-Sook;Shin, Kyu-Lee;Yeon, Boon‐Hong
    • 한국체육학회지인문사회과학편
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    • v.51 no.2
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    • pp.305-314
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    • 2012
  • This study estimated the causal relationship among leisure identity salience (LIS), leisure constraints negotiation (LCN), and intentions to participate in leisure activity (IPLA). For this, we estimated structural equation models controlled by leisure constraints, and we used data collected from 296 college students residing in Seoul and Kyoung-gi providence. The following was obtained. First, for both groups with high and low levels of leisure constraints, LIS positively caused LCN, and this became more evident for the group with high level of leisure constraint. Second, for the group with low level of leisure constraints, LIS positively and directly caused IPLA, whereas this causal relationship could not observed from the group with high level of leisure constraints. Nevertheless, it indirectly and positively caused IPLA though LCN for the same group. This implies that the mediative role of LCN became more important as the level of leisure constraints became more restrictive. Further, we separately showed that the role of LIS was important in the process of LCN.

Virtual Go to School (VG2S): University Support Course System with Physical Time and Space Restrictions in a Distance Learning Environment

  • Fujita, Koji
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.137-142
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    • 2021
  • Distance learning universities provide online course content. The main methods of providing class contents are on-demand and live-streaming. This means that students are not restricted by time or space. The advantage is that students can take the course anytime and anywhere. Therefore, unlike commuting students, there is no commuting time to the campus, and there is no natural process required to take classes. However, despite this convenient situation, the attendance rate and graduation rate of distance learning universities tend to be lower than that of commuting universities. Although the course environment is not the only factor, students cannot obtain a bachelor's degree unless they fulfill the graduation requirements. In both commuter and distance learning universities, taking classes is an important factor in earning credits. There are fewer time and space constraints for distance learning students than for commuting students. It is also easy for distance learning students to take classes at their own timing. There should be more ease of learning than for students who commute to school with restrictions. However, it is easier to take a course at a commuter university that conducts face-to-face classes. I thought that the reason for this was that commuting to school was a part of the process of taking classes for commuting students. Commuting to school was thought to increase the willingness and motivation to take classes. Therefore, I thought that the inconvenient constraints might encourage students to take the course. In this research, I focused on the act of commuting to school by students. These situations are also applied to the distance learning environment. The students have physical time constraints. To achieve this goal, I will implement a course restriction method that aims to promote the willingness and attitude of students. Therefore, in this paper, I have implemented a virtual school system called "virtual go to school (VG2S)" that reflects the actual route to school.

Study on Design of Embedded Control Network System using Cyber Physical System Concept (가상물리시스템 개념을 이용한 임베디드 제어 네트워크 시스템 설계에 관한 연구)

  • Park, Jee-Hun;Lee, Suk;Lee, Kyung-Chang
    • IEMEK Journal of Embedded Systems and Applications
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    • v.7 no.5
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    • pp.227-239
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    • 2012
  • Recent advances in electronics have enabled various conventional products to incorporate with numerous powerful microcontroller. Generally, an embedded system is a computer system designed for specific control functions within a larger system, often with real-time computing constraints. The growing performance and reliability of hardware components and the possibilities brought by various design method enabled implementing complex functions that improve the comport of the system's occupant as well as their safety. A cyber physical system (CPS) is a system featuring a tight combination of, and coordination between, the system's computational and physical elements. The concept of cyber physical system, including physical elements, cyber elements, and shared networks, has been introduced due to two general reasons: design flexibility and reliability. This paper presents a cyber physical system where system components are connected to a shared network, and control functions are divided into small tasks that are distributed over a number of embedded controllers with limited computing capacity. In order to demonstrate the effectiveness of cyber physical system, an unmanned forklift with autonomous obstacle avoidance ability is implemented and its performance is experimentally evaluated.

DARK ENERGY REFLECTIONS IN THE REDSHIFT-SPACE QUADRUPOLE

  • NISHIOKA HIROAKI;YAMAMOTO KAZUHIRO;BASSETT BRUCE A.
    • Journal of The Korean Astronomical Society
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    • v.38 no.2
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    • pp.175-178
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    • 2005
  • We show that next-generation galaxy surveys such as KAOS (the Kilo-Aperture Optical Spectro-graph)will constrain dark energy even if the baryon oscillations are missing from the monopole power spectrum and the bias is scale- and time-dependent KAOS will accurately measure the quadrupole power spectrum which gives the leading anisotropies in the power spectrum in redshift space due to peculiar velocities, the finger of God effect, as well as the Alcock-Paczynski effect. The combination of monopole and quadrupole power spectra powerfully breaks the degeneracy between the bias parameters and dark energy and, in the complete absence of baryon oscillations ($\Omega$b = 0), leads to a roughly $500\%$ improvement in constraints on dark energy compared with the monopole spectrum alone. As a result, for KAOS the worst case with no oscillations has dark energy errors only mildly degraded relative to the ideal case, providing insurance on the robustness of KAOS constraints on dark energy. We show that nonlinear effects are crucial in correctly evaluating the quadrupole and significantly improving the constraints on dark energy when we allow for multi-parameter scale-dependent bias.

A generalized adaptive incremental approach for solving inequality problems of convex nature

  • Hassan, M.M.;Mahmoud, F.F.
    • Structural Engineering and Mechanics
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    • v.18 no.4
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    • pp.461-474
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    • 2004
  • A proposed incremental model for the solution of a general class of convex programming problems is introduced. The model is an extension of that developed by Mahmoud et al. (1993) which is limited to linear constraints having nonzero free coefficients. In the present model, this limitation is relaxed, and allowed to be zero. The model is extended to accommodate those constraints of zero free coefficients. The proposed model is applied to solve the elasto-static contact problems as a class of variation inequality problems of convex nature. A set of different physical nature verification examples is solved and discussed in this paper.

Finite Element Model Updating of Framed Structures Using Constrained Optimization (구속조건을 가진 최적화기법을 이용한 골조구조물의 유한요소모델 개선기법)

  • Yu, Eun-Jong;Kim, Ho-Geun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.11a
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    • pp.446-451
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    • 2007
  • An Improved finite element model updating method to address the numerical difficulty associated with ill-conditioning and rank-deficiency. These difficulties frequently occur in model updating problems, when the identification of a larger number of physical parameters is attempted than that warranted by the information content of the experimental data. Based on the standard Bounded Variables Least-squares (BVLS) method, which incorporates the usual upper/lower-bound constraints, the proposed method is equipped with new constraints based on the correlation coefficients between the sensitivity vectors of updating parameters. The effectiveness of the proposed method is investigated through the numerical simulation of a simple framed structure by comparing the results of the proposed method with those obtained via pure BVLS and the regularization method. The comparison indicated that the proposed method and the regularization method yield approximate solutions with similar accuracy.

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Preliminary Study of Micro Cold Gas Thruster (마이크로 콜드 가스 추력기의 선행 연구)

  • Seonghwan Moon;Hwayoung Oh;Hwanil Huh
    • Journal of the Korean Society of Propulsion Engineers
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    • v.8 no.2
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    • pp.54-61
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    • 2004
  • Miniaturization of subsystems including propulsion systems is recent trends in spacecraft technology. Small space vehicle propulsion is not only a technological challenge of a scaling system down, but also a combination of fundamental flow/combustion constraints. In this paper, physical constraints of micronozzle for cold gas micro-thruster are reviewed and discussed. Method to measure small thrust are also described.

Control of balancing weight for IWR biped robot by genetic algorithm (유전 알고리즘을 이용한 IWR 이족 보행 로보트의 균형추 제어)

  • 심경흠;이보희;김진걸
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1185-1188
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    • 1996
  • In this paper we present a genetic approach for trajectory control algorithm of balancing weight for IWR biped walking robot. The biped walking robot, IWR that was made by Automatic Control Lab. of Inha University has a trunk which stabilizes its walking by generating compensation moment. Trunk is composed of a revolute and a prismatic joint which roles balancing weight. The motion of balancing weight is determined by the gait of legs and represented by two linear second order ordinary differential equations. The solution of this equation must satisfy some constraints simultaneously to have a physical meaning. Genetic algorithm search for this feasible motion of balancing weight under some constraints. Simulation results show that feasible motion of balancing weight can be obtained by genetic algorithm.

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Placement Optimization of Power Components in Static Power Converters under Spatial and Thermal Constraints

  • Larouci, Cherif;Ejjabraoui, Kamal;Lefranc, Pierre;Marchand, Claude
    • Journal of Power Electronics
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    • v.12 no.2
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    • pp.368-376
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    • 2012
  • This paper deals with an optimization approach of 3D space placement of power components under volume and thermal constraints. It consists in optimizing semiconductors positions on a heat sink by respecting the components junction temperatures and minimizing the heat sink size. The aim is to remove risks on the 3D converter components placement and ensure their effective integration before carrying out the first physical prototype. This approach is based on coupling an optimization environment with a thermal finite element simulation tool. A pre-sizing step using analytical models is performed to set the optimization computations coupled to numerical simulation.

Improving Performance and Routability Estimation in Deep-submicron Placement

  • Cho, June-Dong;Cho, Jin-Youn
    • Journal of Electrical Engineering and information Science
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    • v.3 no.3
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    • pp.292-299
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    • 1998
  • Placement of multiple dies on an MCM or high-performance VLSI substrate is a non-trivial task in which multiple criteria need to be considered simultaneously to obtain a true multi-objective optimization. Unfortunately, the exact physical attributes of a design are not known in the placement step until entire design process is carried out. When the performance issues are considered, crosstalk noise constraints in the form of net separation and via constraint become important. In this paper, for better performance and wirability estimation during placement for MCMs, several performance constraints are taken into account simultaneously. A graph-based wirability estimation along with the Genetic placement optimization technique is proposed to minimize crosstalk, crossing, wirelength and the number of layers. Our work is significant since it is the first attempt at bringing the crosstalk and other performance issues into the placement domain.

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