• Title/Summary/Keyword: joint detection

Search Result 411, Processing Time 0.03 seconds

Evaluation of the Stiffness of Hi-Form Joint Using Damage Detection Method (손상평가 기법을 이용한 Hi-Form 접합부의 강성평가)

  • Chang, Kug-Kwan;Chun, Young-Soo;Kang, Woo-Joo
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.13 no.2 s.54
    • /
    • pp.137-144
    • /
    • 2009
  • This paper provides the results from evaluating the stiffness of Hi-Form joint by an experiment and the system identification method using the dynamic modal data, and the reasonable modeling method of Hi-Form joint which is proposed for improved stair construction recently. Based on the crack pattern and load-displacement relationship and the damage distribution, it can be judged that Hi-Form joint can't fully transfer the forces between the elements linked, and we propose that the joint is modeled as a element which have a stiffness with 50% decrease.

An Image Processing Algorithm for a Visual Weld Defects Detection on Weld Joint in Steel Structure (강구조물 용접이음부 외부결함의 자동검출 알고리즘)

  • Seo, Won Chan;Lee, Dong Uk
    • Journal of Korean Society of Steel Construction
    • /
    • v.11 no.1 s.38
    • /
    • pp.1-11
    • /
    • 1999
  • The aim of this study is to construct a machine vision monitoring system for an automatic visual inspection of weld joint in steel structure. An image processing algorithm for a visual weld defects detection on weld bead is developed using the intensity image. An optic system for getting four intensity images was set as a fixed camera position and four different illumination directions. The input images were thresholded and segmented after a suitable preprocessing and the features of each region were defined and calculated. The features were used in the detection and the classification of the visual weld defects. It is confirmed that the developed algorithm can detect weld defects that could not be detected by previously developed techniques. The recognized results were evaluated and compared to expert inspectors' results.

  • PDF

Robust Fault-Tolerant Control for a Robot System Anticipating Joint Failures in the Presence of Uncertainties (불확실성의 존재에서 관절 고장을 가지는 로봇 시스템에 대한 강인한 내고장 제어)

  • 신진호
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.9 no.10
    • /
    • pp.755-767
    • /
    • 2003
  • This paper proposes a robust fault-tolerant control framework for robot manipulators to maintain the required performance and achieve task completion in the presence of both partial joint failures and complete joint failures and uncertainties. In the case of a complete joint failure or free-swinging joint failure causing the complete loss of torque on a joint, a fully-actuated robot manipulator can be viewed as an underactuated robot manipulator. To detect and identify a complete actuator failure, an on-line fault detection operation is also presented. The proposed fault-tolerant control system contains a robust adaptive controller overcoming partial joint failures based on robust adaptive control methodology, an on-line fault detector detecting and identifying complete joint failures, and a robust adaptive controller overcoming partial and complete joint failures, and so eventually it can face and overcome joint failures and uncertainties. Numerical simulations are conducted to validate the proposed robust fault-tolerant control scheme.

A Joint ML and ZF/MMSE Detection Algorithm in Uplink for BS Cooperative System (셀간 협력 통신을 위한 상향링크 환경에서의 ML 및 ZF/MMSE를 결합한 검출 기술)

  • Kim, Jurm-Su;Kim, Jeong-Gon;Kim, Seok-Woo
    • Journal of Advanced Navigation Technology
    • /
    • v.15 no.3
    • /
    • pp.392-404
    • /
    • 2011
  • In this paper, we address the issue of joint detection schemes for uplink cellular system when base station cooperation is possible for multi-user detection in multi-cell scenario. The ZF, ML, MMSE and SIC detection are analyzed and evaluated as a conventional scheme. ML attains the optimal performance but the complexity increases exponentially, ZF/MMSE have simple structure but have poor detection performance and SIC has better performance but it has large complexity and potential of the error propagation. However, they need the increased decoder complexity as the number of iteration is increased. We propose a new joint ML and ZF/MMSE detection scheme, which combines the partial ML decoding and ZF/MMSE detection, in order to decrease the decoder complexity. Simulation results show that the proposed scheme attains same or a little bit better BER performance and expect reduced decoder complexity, specially in the case of large number of Base Station are cooperated each other.

Joint Probability Density Functions for Direct-Detection Optical Receivers

  • Lee, Jae Seung
    • Journal of the Optical Society of Korea
    • /
    • v.18 no.2
    • /
    • pp.124-128
    • /
    • 2014
  • We derive joint probability density functions (JPDFs) for two adjacent data from direct-detection optical receivers in dense wavelength-division multiplexing systems. We show that the decision using two data per bit can increase the receiver sensitivity compared with the conventional decision. Our JPDFs can be used for software-defined optical receivers enhancing the receiver sensitivities for intensity-modulated channels.

Direct-Detection, Analysis of the point-detector arrays used in optical communication (직접검파, 광통신에 이용되는 Point-detector Array의 해석)

  • 성평식;김영권
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.12 no.5
    • /
    • pp.428-438
    • /
    • 1987
  • This paper describesl the point-detector arrays system to processes the field of signal and noise of the turbulent atmosphere or variance and covariance circuit. By using the aboves, the maximum output of direct-detection shows a little differences between experimental datas. As a whole the experimental data datas are agreed with the joint Gaussian theoretical curves.

  • PDF

Auto-Detection Algorithm of Gait's Joints According to Gait's Type (보행자 타입에 따른 보행자의 관절 점 자동 추출 알고리즘)

  • Kwak, Nae-Joung;Song, Teuk-Seob
    • Journal of Korea Multimedia Society
    • /
    • v.21 no.3
    • /
    • pp.333-341
    • /
    • 2018
  • In this paper, we propose an algorithm to automatically detect gait's joints. The proposed method classifies gait's types into front gait and flank gait so as to automatically detect gait's joints. And then according to classified types, the proposed applies joint extracting algorithm to input images. Firstly, we split input images into foreground image using difference images of Hue and gray-scale image of input and background one and extract gait's object. The proposed method classifies gaits into front gait and flank gait using ratio of Face's width to torso's width. Then classified gait's type, joints are detected 10 at front gait and detected 7~8 at flank gait. The proposed method is applied to the camera's input and the result shows that the proposed method automatically extracts joints.

Detection of Breathing Rates in Through-wall UWB Radar Utilizing JTFA

  • Liang, Xiaolin;Jiang, Yongling
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.13 no.11
    • /
    • pp.5527-5545
    • /
    • 2019
  • Through-wall ultra-wide band (UWB) radar has been considered as one of the preferred and non-contact technologies for the targets detection owing to the better time resolution and stronger penetration. The high time resolution is a result of a larger of bandwidth of the employed UWB pulses from the radar system, which is a useful tool to separate multiple targets in complex environment. The article emphasised on human subject localization and detection. Human subject usually can be detected via extracting the weak respiratory signals of human subjects remotely. Meanwhile, the range between the detection object and radar is also acquired from the 2D range-frequency matrix. However, it is a challenging task to extract human respiratory signals owing to the low signal to clutter ratio. To improve the feasibility of human respiratory signals detection, a new method is developed via analysing the standard deviation based kurtosis of the collected pulses, which are modulated by human respiratory movements in slow time. The range between radar and the detection target is estimated using joint time-frequency analysis (JTFA) of the analysed characteristics, which provides a novel preliminary signature for life detection. The breathing rates are obtained using the proposed accumulation method in time and frequency domain, respectively. The proposed method is validated and proved numerically and experimentally.

Measurement of Joint Roughness in Large-Scale Rock Fracture Using LIDAR (LIDAR를 이용한 대규모 암반 절리면의 거칠기 측정)

  • Kim, Chee-Hwan;Kemeny, John
    • Tunnel and Underground Space
    • /
    • v.19 no.1
    • /
    • pp.52-63
    • /
    • 2009
  • This is a study on large-scale rock joint roughness measurements using LIDAR (light detection and ranging) and the Split-FX point cloud processing software. The large-scale rock Joint Roughness Coefficient (JRC) is calculated using the maximum amplitude of joint asperities over the profile length on large-scale Joint surfaces of rock. As the profile length increases, JRC decreases due to scale-effects of rock specimens and is non-stationary. Also JRC shows anisotropy depending on the profile direction. The profile direction is measured relative to either dip or strike of the large-scale joint.

Seismic Fragility of Steel Piping System Based on Pipe Size, Coupling Type, and Wall Thickness

  • Ju, Bu Seog;Gupta, Abhinav;Ryu, Yonghee
    • International journal of steel structures
    • /
    • v.18 no.4
    • /
    • pp.1200-1209
    • /
    • 2018
  • In this study, a probabilistic framework of the damage assessment of pipelines subjected to extreme hazard scenario was developed to mitigate the risk and enhance design reliability. Nonlinear 3D finite element models of T-joint systems were developed based on experimental tests with respect to leakage detection of black iron piping systems, and a damage assessment analysis of the vulnerability of their components according to nominal pipe size, coupling type, and wall thickness under seismic wave propagations was performed. The analysis results showed the 2-inch schedule 40 threaded T-joint system to be more fragile than the others with respect to the nominal pipe sizes. As for the coupling types, the data indicated that the probability of failure of the threaded T-joint coupling was significantly higher than that of the grooved type. Finally, the seismic capacity of the schedule 40 wall thickness was weaker than that of schedule 10 in the 4-inch grooved coupling, due to the difference in the prohibition of energy dissipation. Therefore, this assessment can contribute to the damage detection and financial losses due to failure of the joint piping system in a liquid pipeline, prior to the decision-making.