• 제목/요약/키워드: support motions

검색결과 144건 처리시간 0.027초

가상현실 대화용 가상걸음 장치의 지능제어 (Intelligent Control of a Virtual Walking Machine for Virtual Reality Interface)

  • 윤정원;박장우;류제하
    • 제어로봇시스템학회논문지
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    • 제12권9호
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    • pp.926-934
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    • 2006
  • This paper proposes intelligent control of a virtual walking machine that can generate infinite floor for various surfaces and can provide proprioceptive feedback of walking to a user. This machine allows users to participate in a life-like walking experience in virtual environments with various terrains. The controller of the machine is implemented hierarchically, at low-level for robust actuator control, at mid-level fur platform control to compensate the external forces by foot contact, and at high-level control for generating walking trajectory. The high level controller is suggested to generate continuous walking on an infinite floor for various terrains. For the high level control, each independent platform follows a man foot during the swing phase, while the other platform moves back during single stance phase. During double limb support, two platforms manipulate neutral positions to compensate the offset errors generated by velocity changes. This control can, therefore, satisfy natural walking conditions in any direction. Transition phase between the swing and the stance phases is detected by using simple switch sensor system, while human foot motions are sensed by careful calibration with a magnetic motion tracker attached to the shoe. Experimental results of walking simulations at level ground, slope, and stairs, show that with the proposed machine, a general person can walk naturally on various terrains with safety and without any considerable disturbances. This interface can be applied to various areas such as VR navigations, rehabilitation, and gait analysis.

배관의 형상 및 내부유체 유동이 배관계의 진동특성에 미치는 영향 (Effects of Curved Pipe Geometry and Inside Fluid Flow on the Vibrational Characteristics of Pipe Systems)

  • 최명진
    • 한국가스학회지
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    • 제20권6호
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    • pp.58-64
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    • 2016
  • 본 연구에서는 굴곡진 배관에서 내부 유체의 유동속도의 변화에 따른 진동특성을 고찰 하였다. 해밀톤의 원리에 근거하여 운동방정식을 유도하고 굽어진 배관계의 유한요소 방정식을 구성한 후, 진동수 방정식을 풀이하여 고유 진동수를 구하였다. 곡관부에 가해지는 초기 인장력을 무시하였을 경우에는 내부 유체의 유동속도가 증가함에 따라 파이프의 고유진동수의 값은 감소하였다. 초기 인장력을 고려할 경우에는 내부 유동속도의 변화에 상관없이 파이프의 고유진동수가 변하지 않았다. 배관의 자유진동 평가 시, 정확한 고유진동수를 구하기 위해서는 시스템 운동방정식을 구성할 때, 초기인장력을 반드시 고려하여야한다. 공진을 회피하기 위해서는 파이프의 강성 및 지지점의 위치를 변화시킴으로써 시스템의 기계적 성질을 조절해야 한다. 고유진동수는 가진 진동수 범위로부터 이격시켜야 한다. 엘보우의 각도는 제1차 고유진동수에 영향을 미치지 않음이 고찰되었으나, 3차 모드나 그 이상의 고주파 모드에서는 영향을 미쳤다.

피로 검출을 위한 능동적 얼굴 추적 (Active Facial Tracking for Fatigue Detection)

  • 김태우;강용석
    • 한국정보전자통신기술학회논문지
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    • 제2권3호
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    • pp.53-60
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    • 2009
  • 본 논문에서는 얼굴 특징을 추출하는 새로운 능동적 방식을 제안하고자 한다. 운전자의 피로 상태를 검출하기 위한 얼굴 표정 인식을 위해 얼굴 특징을 추적하고자 하였다. 그러나 대다수의 얼굴 특징 추적 방법은 다양한 조명 조건과 얼굴 움직임, 회전등으로 얼굴의 특징점이 검출하지 못하는 경우가 발생한다. 본 논문에서는 얼굴 특징을 추출하는 새로운 능동적 방식을 제안하고자 한다. 제안된 방법은 우선, 능동적 적외선 감지기를 사용하여 다양한 조명 조건하에서 동공을 검출하고, 검출된 동공은 얼굴 움직임을 예측하는데 사용되어진다. 얼굴 움직임에 따라 특징이 국부적으로 부드럽게 변화한다고 할 때, 칼만 필터로 얼굴 특징을 추적할 수 있다. 제한된 동공 위치와 칼만 필터를 동시에 사용함으로 각각의 특징 지점을 정확하게 예상할 수 있었고, Gabor 공간에서 예측 지점에 인접한 지점을 특징으로 추적할 수 있다. 패턴은 검출된 특징에서 공간적 연관성에서 추출한 특징들로 구성된다. 실험을 통하여 다양한 조명과 얼굴 방향, 표정 하에서 제안된 능동적 방법의 얼굴 추적의 실효성을 입증하였다.

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피로 검출을 위한 능동적 얼굴 추적 (Active Facial Tracking for Fatigue Detection)

  • 박호식;정연숙;손동주;나상동;배철수
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2004년도 춘계종합학술대회
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    • pp.603-607
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    • 2004
  • 본 논문에서는 얼굴 특징을 추출하는 새로운 능동적 방식을 제안하고자 한다. 운전자의 피로 상태를 검출하기 위한 얼굴 표정 인식을 위해 얼굴 특징을 추적하고자 하였다. 그러나 대다수의 얼굴 특징 추적 방법은 다양한 조명 조건과 얼굴 움직임, 회전등으로 얼굴의 특징점이 검출하지 못하는 경우가 발생한다. 그러므로 본 논문에서는 얼굴 특징을 추출하는 새로운 능동적 방식을 제안하고자 한다. 제안된 방법은 우선, 능동적 적외선 감지기를 사용하여 다양한 조명 조건 하에서 동공을 검출하고, 검출된 동공은 얼굴 움직임을 예측하는데 사용되어진다. 얼굴 움직임에 따라 특징이 국부적으로 부드럽게 변화한다고 할 때, 칼만 필터로 얼굴 특징을 추적할 수 있다. 제한된 동공 위치와 칼만 필터를 동시에 사용함으로 각각의 특징 지점을 정확하게 예상 할 수 있었고, Gabor 공간에서 예측 지점에 인접한 지점을 특징으로 추적할 수 있다. 패턴은 검출된 특징에서 공간적 연관성에서 추출한 특징들로 구성된다. 실험을 통하여 다양한 조명과 얼굴 방향, 표정 하에서 제안된 능동적 방법의 얼굴 추적의 실효성을 입증하였다.

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MD simulation of structural change of polyethylene induced by high energy ion bombardment

  • Kim, Chan-Soo;Ahmed, Sk. Faruque;Moon, Myoung-Woon;Lee, Kwang-Ryeol
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2009년도 제38회 동계학술대회 초록집
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    • pp.358-358
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    • 2010
  • Ion beam bombardment at low energy forms nanosize patterns such as ripples, dots or wrinkles on the surface of polymers in ambient temperature and pressure. It has been known that the ion beam can alter the polymer surface that induces skins stiffer or the density higher by higher compressive stress or strain energies associated with chain scissions and crosslinks of the polymer. Atomic scale structure evolution in polymers is essential to understand a stress generation mechanism during the ion beam bombardment, which governs the nanoscale surface structure evolution. In this work, Molecular Dynamics (MD) simulations are employed to characterize the phenomenon occurred in bombardment between the ion beam and polymers that forms nanosize patterns. We investigate the structure evolution of Low Density Polyethylene (LDPE) at 300 K as the polymer is bombarded with Argon ions having various kinetic energies ranging from 100 eV to 1 KeV with 50 eV intervals having the fluence of $1.45\;{\times}\;1014 #/cm2$. These simulations use the Reactive Force Field (ReaxFF), which can mimic chemical covalent bonds and includes van der Waals potentials for describing the intermolecular interactions. The results show the details of the structural evolution of LDPE by the low energy Ar ion bombardment. Analyses through kinetic and potential energy, number of crosslinks and chain scissions, level of local densification and motions of atoms support that the residual strain energies on the surface is strongly associated with the number of crosslinks or scissored chains. Also, we could find an optimal Ar ion beam energy to make crosslinks well.

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중소형 건물에 적합한 에너지사용량 모니터링 및 분석 사례 연구 (A Study on Energy Use Monitoring and Analysis Case for Small and Medium-Sized Buildings)

  • 이혜진;김명진;김진호;이동호
    • 한국산업융합학회 논문집
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    • 제22권5호
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    • pp.499-509
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    • 2019
  • This paper discusses energy use monitoring and analysis as part of a study on a low-cost energy supply management system that links an existing database with weather information with no real-time monitor for energy demand of buildings using renewable energy, generator and energy storage systems. This study is targeted at small and medium-sized buildings and aims to monitor energy use with a small number of sensors at low cost by applying an energy management system (EMS). The present study can help overcome the limitations of high-cost EMS applied to large commercial and public buildings. We developed current, indoor temperature and human motion sensors and installed them in an office of a company in a sample building. Through these sensors, we analyzed energy use patterns and the effects of weather information and human motion on the energy use. Furthermore, we analyzed the correlations between the total KEPCO energy use of the sample building and weather by comparing these two data. The results showed that the office energy use of a company was more affected by human motions than by weather information. The comparison between the total energy use of the Building and weather information found that external temperature had an effect on the energy use.

Stochastic vibration suppression analysis of an optimal bounded controlled sandwich beam with MR visco-elastomer core

  • Ying, Z.G.;Ni, Y.Q.;Duan, Y.F.
    • Smart Structures and Systems
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    • 제19권1호
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    • pp.21-31
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    • 2017
  • To control the stochastic vibration of a vibration-sensitive instrument supported on a beam, the beam is designed as a sandwich structure with magneto-rheological visco-elastomer (MRVE) core. The MRVE has dynamic properties such as stiffness and damping adjustable by applied magnetic fields. To achieve better vibration control effectiveness, the optimal bounded parametric control for the MRVE sandwich beam with supported mass under stochastic and deterministic support motion excitations is proposed, and the stochastic and shock vibration suppression capability of the optimally controlled beam with multi-mode coupling is studied. The dynamic behavior of MRVE core is described by the visco-elastic Kelvin-Voigt model with a controllable parameter dependent on applied magnetic fields, and the parameter is considered as an active bounded control. The partial differential equations for horizontal and vertical coupling motions of the sandwich beam are obtained and converted into the multi-mode coupling vibration equations with the bounded nonlinear parametric control according to the Galerkin method. The vibration equations and corresponding performance index construct the optimal bounded parametric control problem. Then the dynamical programming equation for the control problem is derived based on the dynamical programming principle. The optimal bounded parametric control law is obtained by solving the programming equation with the bounded control constraint. The controlled vibration responses of the MRVE sandwich beam under stochastic and shock excitations are obtained by substituting the optimal bounded control into the vibration equations and solving them. The further remarkable vibration suppression capability of the optimal bounded control compared with the passive control and the influence of the control parameters on the stochastic vibration suppression effectiveness are illustrated with numerical results. The proposed optimal bounded parametric control strategy is applicable to smart visco-elastic composite structures under deterministic and stochastic excitations for improving vibration control effectiveness.

딥러닝의 얼굴 정서 식별 기술 활용-대학생의 심리 건강을 중심으로 (Exploration of deep learning facial motions recognition technology in college students' mental health)

  • 리파;조경덕
    • 한국정보통신학회논문지
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    • 제26권3호
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    • pp.333-340
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    • 2022
  • 코로나19는 모두로 하여금 초조하고 불안하게 만들고, 사람들간에는 거리두기가 필요하다. 코로나19로 인해 심리적으로 초조하고 불안 해 지고 거리두기가 필요해졌다. 대학교에서는 학기 초에 정신건강에 대한 단체 평가와 검사가 이루어진다. 본 연구에서는 다층감지기 신경망 모델을 채택하고 훈련시켜 딥러닝을 진행했다. 훈련이 끝난 후, 실제 사진과 동영상을 입력하고, 안면탐지를 진행하고, 표본에 있는 사람의 얼굴 위치를 알아낸 후, 그 감정을 다시 분류하고, 그 표본의 예측한 감정 결과를 그림으로 보여주었다. 결과는 다음과 같다. 테스트 시험에서는 93.2%의 정확도를 얻었고, 실제 사용에서는 95.57%의 정확도를 얻었다. 그중 분노의 식별율은 95%, 혐오의 식별율은 97%, 행복의 식별율은 96%, 공포의 식별율은 96%, 슬픔의 식별율은 97%, 놀라움의 식별율은 95%, 중립의 식별율은 93%이었다. 본 연구의 고효율적 정서 식별 기술은 학생들의 부정적 정서를 포착하는 객관적 데이터를 제공 할 수 있다. 딥러닝의 감정식별 시스템은 심리건강을 향상하기 위한 데이터들을 제공할 수 있다.

Moment-rotational analysis of soil during mining induced ground movements by hybrid machine learning assisted quantification models of ELM-SVM

  • Dai, Bibo;Xu, Zhijun;Zeng, Jie;Zandi, Yousef;Rahimi, Abouzar;Pourkhorshidi, Sara;Khadimallah, Mohamed Amine;Zhao, Xingdong;El-Arab, Islam Ezz
    • Steel and Composite Structures
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    • 제41권6호
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    • pp.831-850
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    • 2021
  • Surface subsidence caused by mining subsidence has an impact on neighboring structures and utilities. In other words, subsurface voids created by mining or tunneling activities induce soil movement, exposing buildings to physical and/or functional destruction. Soil-structure is evaluated employing probability distribution laws to account for their uncertainty and complexity to estimate structural vulnerability. In this study, to investigate the displacement field and surface settlement profile caused by mining subsidence, on the basis of a Winklersoil model, analytical equations for the moment-rotation response ofsoil during mining induced ground movements are developed. To define the full static moment-rotation response, an equation for the uplift-yield state is constructed and integrated with equations for the uplift- and yield-only conditions. The constructed model's findings reveal that the inverse of the factor of safety (x) has a considerable influence on the moment-rotation curve. The maximal moment-rotation response of the footing is defined by X = 0:6. Despite the use of Winkler model, the computed moment-rotation response results derived from the literature were analyzed through the ELM-SVM hybrid of Extreme Learning Machine (ELM) and Support Vector Machine (SVM). Also, Monte Carlo simulations are used to apply continuous random parameters to assess the transmission of ground motions to structures. Following the findings of RMSE and R2, the results show that the choice of probabilistic laws of input parameters has a substantial impact on the outcome of analysis performed.

도시개발 영역 고정밀 공간지반모델의 지진 시 액상화 재해 및 지반 취약성 평가 활용 (Application into Assessment of Liquefaction Hazard and Geotechnical Vulnerability During Earthquake with High-Precision Spatial-Ground Model for a City Development Area)

  • 김한샘;선창국;하익수
    • 한국지진공학회논문집
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    • 제27권5호
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    • pp.221-230
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    • 2023
  • This study proposes a methodology for assessing seismic liquefaction hazard by implementing high-resolution three-dimensional (3D) ground models with high-density/high-precision site investigation data acquired in an area of interest, which would be linked to geotechnical numerical analysis tools. It is possible to estimate the vulnerability of earthquake-induced geotechnical phenomena (ground motion amplification, liquefaction, landslide, etc.) and their triggering complex disasters across an area for urban development with several stages of high-density datasets. In this study, the spatial-ground models for city development were built with a 3D high-precision grid of 5 m × 5 m × 1 m by applying geostatistic methods. Finally, after comparing each prediction error, the geotechnical model from the Gaussian sequential simulation is selected to assess earthquake-induced geotechnical hazards. In particular, with seven independent input earthquake motions, liquefaction analysis with finite element analyses and hazard mappings with LPI and LSN are performed reliably based on the spatial geotechnical models in the study area. Furthermore, various phenomena and parameters, including settlement in the city planning area, are assessed in terms of geotechnical vulnerability also based on the high-resolution spatial-ground modeling. This case study on the high-precision 3D ground model-based zonations in the area of interest verifies the usefulness in assessing spatially earthquake-induced hazards and geotechnical vulnerability and their decision-making support.