• Title/Summary/Keyword: Sense of Dynamic

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A Development of Device for Measurement of Vertical Ground Reaction Force(II) (수직 반작용력 측정 장치 개발(II))

  • Park, Jin
    • Korean Journal of Applied Biomechanics
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    • v.13 no.3
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    • pp.341-354
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    • 2003
  • The purpose of this study was to develop the uniaxial force plate system which is measured by the vertical force. The VGRF(vertical ground reaction force) 1.0 was composed of 2 bath digital scales, 2 indicaters, and analyzing software. This system was newly renovated to VGRF 2,0 which are 2 industrial digital scales, 2 adjustable indicators, and enforced analyzing software. Changes of the new system were as follows. First, the height of the plate was 75% lower than before. Second, sensing ability of the load cell was changed from 90 - 0.05kg to 300 - 0.1kg. Third, the speed of data processing was changed from 17 per second to 60 per second. Fourth, analyzing software was enforced to develop and calculate the data. For the test of the system, two different types(bare foot, high-heeled shoes) gait was adopted. highly skilled female walker(23yrs, height 165cm, body mass 46.8kg) participated for the experimental study. During the dynamic performance(gait analysis), the data of each load cell were very similar to the previous studies. Specifically, bare foot walking had less vertical force than high-heeled shoes. Consequently, VGRF 2.0 can sense the general dynamic movements as well as static load conditions.

Counterbalance applied to the Dynamics of Daniel Libeskind's Architecture - Focused on Libeskind Museums - (다니엘 리베스킨트 건축의 역동성에 적용된 상대적 균형감 - 뮤지엄 건축을 중심으로 -)

  • Lee, Da-Kyoung;Cho, Ja-Yeon
    • Korean Institute of Interior Design Journal
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    • v.24 no.1
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    • pp.64-71
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    • 2015
  • This study aims to disclose the dynamics of Daniel Libeskind Museums by the principles of counterbalance. Balance as a dynamic concept is the settlement of instability and tension and to draw overall sense of balance by controlling new perception elements that may cope with the unbalance elements. This is based on balancing compensation and can be explained as a counterbalance. Daniel Libeskind, a representative architect of deconstructivism, creates dynamic space by using oblique lines on the plane. The study was carried out under the assumption that this space would be designed under the certain principles rather than the result of momentary feelings and the analysis was conducted by the counterpoint of music and counterbalance. As a result, Daniel Libeskind balances in a way of forming the mutual right angle by using oblique lines which cancel out the unbalance in plane composition or making the same angle based on vertical / horizontal axis. Counterbalance has been achieved in the section and elevation as well as plane and complex and diverse oblique lines were worked under the constant principle not accidental results. The axes of Daniel Libeskind's architecture have been known to follow contextualism with symbolism and historicity but it was found that a design technique considering counterbalance was used in the overall control.

Customer Order Scheduling Problems with a Fixed Machine-Job Assignment

  • Yang, Jae-Hwan;Rho, Yoo-Mi
    • Management Science and Financial Engineering
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    • v.11 no.2
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    • pp.19-43
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    • 2005
  • This paper considers a variation of the customer order scheduling problem, and the variation is the case where the machine-job assignment is fixed. We examine the parallel machine environment, and the objective is to minimize the sum of the completion times of the batches. While a machine can process only one job at a time, different machines can simultaneously process different jobs in a batch. The recognition version of this problem is known to be NP-complete in the strong sense even if there exist only two parallel machines. When there are an arbitrary number of parallel machines, we establish three lower bounds and develop a dynamic programming (DP) algorithm which runs in exponential time on the number of batches. We present two simple but intuitive heuristics, SB and GR, and find some special cases where SB and GR generate an optimal schedule. We also find worst case upper bounds on the relative error. For the case of the two parallel machines, we show that GR generates an optimal schedule when processing times of all batches are equal. Finally, the heuristics and the lower bounds are empirically evaluated.

Visual Sensing of Fires Using Color and Dynamic Features (컬러와 동적 특징을 이용한 화재의 시각적 감지)

  • Do, Yong-Tae
    • Journal of Sensor Science and Technology
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    • v.21 no.3
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    • pp.211-216
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    • 2012
  • Fires are the most common disaster and early fire detection is of great importance to minimize the consequent damage. Simple sensors including smoke detectors are widely used for the purpose but they are able to sense fires only at close proximity. Recently, due to the rapid advances of relevant technologies, vision-based fire sensing has attracted growing attention. In this paper, a novel visual sensing technique to automatically detect fire is presented. The proposed technique consists of multiple steps of image processing: pixel-level, block-level, and frame level. At the first step, fire flame pixel candidates are selected based on their color values in YIQ space from the image of a camera which is installed as a vision sensor at a fire scene. At the second step, the dynamic parts of flames are extracted by comparing two consecutive images. These parts are then represented in regularly divided image blocks to reduce pixel-level detection error and simplify following processing. Finally, the temporal change of the detected blocks is analyzed to confirm the spread of fire. The proposed technique was tested using real fire images and it worked quite reliably.

Model updating with constrained unscented Kalman filter for hybrid testing

  • Wu, Bin;Wang, Tao
    • Smart Structures and Systems
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    • v.14 no.6
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    • pp.1105-1129
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    • 2014
  • The unscented Kalman filter (UKF) has been developed for nonlinear model parametric identification, and it assumes that the model parameters are symmetrically distributed about their mean values without any constrains. However, the parameters in many applications are confined within certain ranges to make sense physically. In this paper, a constrained unscented Kalman filter (CUKF) algorithm is proposed to improve accuracy of numerical substructure modeling in hybrid testing. During hybrid testing, the numerical models of numerical substructures which are assumed identical to the physical substructures are updated online with the CUKF approach based on the measurement data from physical substructures. The CUKF method adopts sigma points (i.e., sample points) projecting strategy, with which the positions and weights of sigma points violating constraints are modified. The effectiveness of the proposed hybrid testing method is verified by pure numerical simulation and real-time as well as slower hybrid tests with nonlinear specimens. The results show that the new method has better accuracy compared to conventional hybrid testing with fixed numerical model and hybrid testing based on model updating with UKF.

A study on the Development of the Portable Device for Safety Diagnosis and Dynamic Characteristics Analysis of Elevator using Fuzzy Algorithm (Fuzzy 알고리즘을 이용한 엘리베이터 안전진단 및 동특성 분석 포터블 장비 개발)

  • 김태형;김훈모
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.199-202
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    • 2001
  • An elevator system, which is essential equipment for vertical movement of an object, as a property of building, has been driven by various expenditures and purposes. Since developing electrical control technology, control system are highly developed. The elevator system has expanded widely, but a data accuracy acquisition technique and safety predict technique for securing system safety is still at a basic level. So, objective verification for elevator confidence condition requires an absolute accuracy measurement technique. Therefore, this study is executed in order to acquire a method of depending on sense of a manager with simple numeric measurement data, and to construct a logical, analytical foresight system for more efficient elevator management system. As an artificial intelligence for diagnosis, the fuzzy inference algorithm is used for foreseeing the system in this thesis, because the fuzzy algorithm is the most useful method for resolving subjective ideas and a vague judgment of humans. The fuzzy inference algorithm is developed for each sensor signal(i.e. vibration, velocity, current).

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A Study on Applications of Housing Interior Design Elements according to the Sensibility Type (감성유형에 따른 주거 실내디자인요소 적용방안)

  • Park, Ji-Min;Park, En-Sun
    • Journal of the Korean housing association
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    • v.25 no.3
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    • pp.165-179
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    • 2014
  • The purpose of this study was to draw application elements of housing interior design according to user-oriented sensibility types. The sensibility evaluation experiments were conducted to target the general user 118 people using the sensibility evaluation tool for housing interior space. The results of the analysis were as: To produce the 'cozy' space, the colors and materials giving soft and natural feeling should be used. For the 'practical' space, type of ceiling and window that give the visually open feeling, the user-oriented furniture arrangement that allows using the space efficiently. For the 'cheerful' space, the simple and natural effects should be produced by using closed space that stable. For the 'traditional' space, the natural fishing material having rough texture should be used. For the 'unique' space, the space contained the dynamic feeling by the diagonal or vertical line and the graphic expression in the wall. For the 'congenial' emotional space, basic is the symmetric, stable and simple space. On the other hand, for the material, small size, natural texture or typical and soft materials should be used. For the 'sensuous' space, the dynamic and vertical sense of space should be expressed by the type of ceiling. The most important elements for the space of 'gorgeous' sensibility, is the color.

Dynamic data-base Typhoon Track Prediction (DYTRAP) (동적 데이터베이스 기반 태풍 진로 예측)

  • Lee, Yunje;Kwon, H. Joe;Joo, Dong-Chan
    • Atmosphere
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    • v.21 no.2
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    • pp.209-220
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    • 2011
  • A new consensus algorithm for the prediction of tropical cyclone track has been developed. Conventional consensus is a simple average of a few fixed models that showed the good performance in track prediction for the past few years. Meanwhile, the consensus in this study is a weighted average of a few models that may change for every individual forecast time. The models are selected as follows. The first step is to find the analogous past tropical cyclone tracks to the current track. The next step is to evaluate the model performances for those past tracks. Finally, we take the weighted average of the selected models. More weight is given to the higher performance model. This new algorithm has been named as DYTRAP (DYnamic data-base Typhoon tRAck Prediction) in the sense that the data base is used to find the analogous past tracks and the effective models for every individual track prediction case. DYTRAP has been applied to all 2009 tropical cyclone track prediction. The results outperforms those of all models as well as all the official forecasts of the typhoon centers. In order to prove the real usefulness of DYTRAP, it is necessary to apply the DYTRAP system to the real time prediction because the forecast in typhoon centers usually uses 6-hour or 12-hour-old model guidances.

Dynamic Gait embody using angular acceleration for a Walking Robot (각가속도를 이용한 이족 로봇의 동적 걸음새 구현)

  • Park, Jae-Mun;Park, Seung-Yub;Ko, Bong-Jin
    • Journal of Advanced Navigation Technology
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    • v.11 no.2
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    • pp.209-216
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    • 2007
  • In this paper, we embodied posture-stabilization and dynamic gait in a walking robot. 10 RC servo motors are used to operate joints. And the joints have enough moving ranges suitable in any walking pattern. Each joint trajectory is generated by cubic spline interpolation method and the stability of the trajectory is verified by using Zero Moment Point from the robot modeling. To avoid complex structure and expression, Zero Moment Point of the biped robot used angular acceleration is suggested. To measure the stability of the biped robot, Tilt sensor and gyro sensor are used. Finally, Personal Computer is used computer monitoring and data processing. Most of computation, such as 10 RC servo motor control, joint trajectory generating, ZMP compensation, sense measuring, etc, was used Digital Signal Processor.

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Automatic Dynamic Range Improvement Method using Histogram Modification and K-means Clustering (히스토그램 변형 및 K-means 분류 기반 동적 범위 개선 기법)

  • Cha, Su-Ram;Kim, Jeong-Tae;Kim, Min-Seok
    • Journal of Broadcast Engineering
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    • v.16 no.6
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    • pp.1047-1057
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    • 2011
  • In this paper, we propose a novel tone mapping method that implements histogram modification framework on two local regions that are classified using K-means clustering algorithm. In addition, we propose automatic parameter tuning method for histogram modification. The proposed method enhances local details better than the global histogram method. Moreover, the proposed method is fully automatic in the sense that it does not require intervention from human to tune parameters that are involved for computing tone mapping functions. In simulations and experimental studies, the proposed method showed better performance than existing histogram modification method.