• Title/Summary/Keyword: engineering technique

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A Vision Based Pallet Measurement Method by Estimating 3D Direction of A Line Parallel to The Ground (지면 평행 직선의 3차원 방향 추정에 의한 비전 기반 파렛트 측정 방법)

  • Kim, Minhwan;Byun, Sungmin
    • Journal of Korea Multimedia Society
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    • v.23 no.10
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    • pp.1229-1235
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    • 2020
  • A line parallel to the ground is frequently shown in our daily life, which enables us to guess its direction. Especially, such a guess tends to become clear when a vanishing line of the ground is shown together. In this paper, a vision based pallet measurement method is suggested, which uses a technique for estimating three-dimensional direction of a line parallel to the ground. The technique computes actually a vector heading to intersection of a given imaged line parallel to the ground and the ground vanishing line determined previously on calibrating a measurement camera. Through an experiment of measuring a real commercial pallet with various orientation and distance, we found that the technique could measure the orientation of the pallet correctly and accurately. The technique worked well even though an edge line available on the front plane of a pallet was almost parallel to the ground vanishing line.

Optimum Technique for WATM Error Control in Indoor Environment (실내환경에서의 WATM 최적화 기법 연구)

  • Kang, Young-Heung;Shin, Song-Sup
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.5
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    • pp.1027-1035
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    • 2000
  • In this paper, we have proposed the optimum technique for wireless ATM (WATM) error control in indoor environment. As the optimum technique, the conventional concatenated FEC only is regarded as the efficient error control method for time-critical ATM traffic in AWGN, and the pilot symbol-added fading compensation with the concatenated FEC is required to optimize the WATM performance in fading environment. Also, the truncated Type- H hybrid ARQ technique will be developed for quality-critical ATM traffic in order to improve its throughput. Therefore, this paper presents the optimization of WATM performance in indoor environment by means of evaluating above techniques using theoretical analysis and simulation.

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Predicting BVI Loadings and Wake Structure of the HARTII Rotor Using Adaptive Unstructured Meshes

  • Yu, Dong-Ok;Jung, Mun-Seung;Kwon, Oh-Joon;Yu, Yung-H.
    • International Journal of Aeronautical and Space Sciences
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    • v.10 no.2
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    • pp.95-105
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    • 2009
  • The flow fields around the HARTII rotor were numerically investigated using a viscous flow solver on adaptive unstructured meshes. An overset mesh and a deforming mesh technique were used to handle the blade motion including blade deflection, which was obtain from the HARTII experimental data. A solution-adaptive mesh refinement technique was also used to capture the rotor wake effectively. Comparison of the sectional normal force and pitching moment at 87% radial station between the two cases, with and without the blade deflection, showed that the blade loading is significantly affected by blade torsion. It was found that as the mesh was refined, the strength of tip vortex is better preserved, and the magnitude of high frequency blade loading, caused by blade-vortex interaction (BVI), is further magnified. It was also found that a proper time step size, which corresponds to the cell size, should be used to predict unsteady solutions accurately. In general, the numerical results in terms of the unsteady blade loading and the rotor wake show good agreement with the experimental data.

Relevance-Weighted $(2D)^2$LDA Image Projection Technique for Face Recognition

  • Sanayha, Waiyawut;Rangsanseri, Yuttapong
    • ETRI Journal
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    • v.31 no.4
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    • pp.438-447
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    • 2009
  • In this paper, a novel image projection technique for face recognition application is proposed which is based on linear discriminant analysis (LDA) combined with the relevance-weighted (RW) method. The projection is performed through 2-directional and 2-dimensional LDA, or $(2D)^2$LDA, which simultaneously works in row and column directions to solve the small sample size problem. Moreover, a weighted discriminant hyperplane is used in the between-class scatter matrix, and an RW method is used in the within-class scatter matrix to weigh the information to resolve confusable data in these classes. This technique is called the relevance-weighted $(2D)^2$LDA, or RW$(2D)^2$LDA, which is used for a more accurate discriminant decision than that produced by the conventional LDA or 2DLDA. The proposed technique has been successfully tested on four face databases. Experimental results indicate that the proposed RW$(2D)^2$LDA algorithm is more computationally efficient than the conventional algorithms because it has fewer features and faster times. It can also improve performance and has a maximum recognition rate of over 97%.

An integrated particle swarm optimizer for optimization of truss structures with discrete variables

  • Mortazavi, Ali;Togan, Vedat;Nuhoglu, Ayhan
    • Structural Engineering and Mechanics
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    • v.61 no.3
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    • pp.359-370
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    • 2017
  • This study presents a particle swarm optimization algorithm integrated with weighted particle concept and improved fly-back technique. The rationale behind this integration is to utilize the affirmative properties of these new terms to improve the search capability of the standard particle swarm optimizer. Improved fly-back technique introduced in this study can be a proper alternative for widely used penalty functions to handle existing constraints. This technique emphasizes the role of the weighted particle on escaping from trapping into local optimum(s) by utilizing a recursive procedure. On the other hand, it guaranties the feasibility of the final solution by rejecting infeasible solutions throughout the optimization process. Additionally, in contrast with penalty method, the improved fly-back technique does not contain any adjustable terms, thus it does not inflict any extra ad hoc parameters to the main optimizer algorithm. The improved fly-back approach, as independent unit, can easily be integrated with other optimizers to handle the constraints. Consequently, to evaluate the performance of the proposed method on solving the truss weight minimization problems with discrete variables, several benchmark examples taken from the technical literature are examined using the presented method. The results obtained are comparatively reported through proper graphs and tables. Based on the results acquired in this study, it can be stated that the proposed method (integrated particle swarm optimizer, iPSO) is competitive with other metaheuristic algorithms in solving this class of truss optimization problems.

An Experimental Study on the Prediction Control Technique for a Magnetic Bearing (자기베어링 예측 제어 기법의 실험적 연구)

  • Kim, Chae Sil;Jung, Hoon Hyung;Shin, Min Jae
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.2
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    • pp.99-104
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    • 2014
  • Active vibration control methods are required in the high speed rotor systems supported by magnetic bearings. A prediction control technique is one of the control methods. Gain and phase angle are primarily chosen with analyzing the responses for a certain rotor speed. The feasibility of this technique has been reported for only analytical simulations. Therefore this paper constructs the test rig supported by ball bearings with a magnetic bearing type actuator and develops a prediction control system by using LabVIEW and Compact RIO. Finally as rotating speeds are modulated, the gains and phase angles for the speeds are determined with vibration control of the test rig. This leads that the prediction control technique may be applied to the rotor system with the magnetic bearing.

A Novel Soft Computing Technique for the Shortcoming of the Polynomial Neural Network

  • Kim, Dongwon;Huh, Sung-Hoe;Seo, Sam-Jun;Park, Gwi-Tae
    • International Journal of Control, Automation, and Systems
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    • v.2 no.2
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    • pp.189-200
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    • 2004
  • In this paper, we introduce a new soft computing technique that dwells on the ideas of combining fuzzy rules in a fuzzy system with polynomial neural networks (PNN). The PNN is a flexible neural architecture whose structure is developed through the modeling process. Unfortunately, the PNN has a fatal drawback in that it cannot be constructed for nonlinear systems with only a small amount of input variables. To overcome this limitation in the conventional PNN, we employed one of three principal soft computing components such as a fuzzy system. As such, a space of input variables is partitioned into several subspaces by the fuzzy system and these subspaces are utilized as new input variables to the PNN architecture. The proposed soft computing technique is achieved by merging the fuzzy system and the PNN into one unified framework. As a result, we can find a workable synergistic environment and the main characteristics of the two modeling techniques are harmonized. Thus, the proposed method alleviates the problems of PNN while providing superb performance. Identification results of the three-input nonlinear static function and nonlinear system with two inputs will be demonstrated to demonstrate the performance of the proposed approach.

Reliability Evaluation of a Motor Core Applied Ultrasound Infrared Thermography Technique (초음파 적외선열화상 기법을 적용한 모터 코어의 신뢰성 평가)

  • Jung, Yoon-Soo;Roh, Chi-Sung;Lee, Gyung-Il;Kim, Jae-Yeol
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.15 no.4
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    • pp.60-66
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    • 2016
  • This study used an ultrasound infrared thermography technique to detect issues in the motor core of typical power equipment. The current defect inspection method of the motor core is often incomplete (due to the limits of visual inspection) and thus the reliability of the motor core is reduced. Therefore, in this study, experiments were carried out to increase the reliability of the test by using an ultrasonic infrared thermal non-destructive inspection method to image the motor core. The ambient temperature of the experimental system was maintained at $25^{\circ}C$. Experiments were carried out to examine a damaged motor core and a defect-free motor core. Experimental results confirm the technique clearly detected defects in the motor core, thereby confirming the possibility of using this technique in the field.

Silent Magnetic Resonance Imaging Using Rotating and Projection Reconstruction (회전 경사자계와 사상 재구성을 이용한 무소음 자기 공명 영상법)

  • Chung, S.T.;Park, S.H.;Cho, Z.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.555-558
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    • 1997
  • A new approach to silent MR imaging using a rotating DC gradient has been explored and experimentally studied. As is known, acoustic or sound noise has been one of the major problems in handling patients, mainly due to the fast gradient pulsings in interaction with the main magnetic field. The sound noise is also proportionally louder as the magnetic field strength becomes larger. In this article, we have described a new imaging technique using a mechanically rotating DC gradient coil as an approach toward silent MR imaging, i.e., a mechanically rotated DC gradient effectively replaces both the phase encoding as well as the readout gradient pulsings and data obtained in this manner provides a set of project ion data which later can be used or the projection reconstructionorwithsomeinterpolation techniques one can also perform conventional 2-D FFT (Fast Fourier Transform) image reconstruction. We found, with this new technique, that the sound noise intensity compared with the conventional imaging technique, such as spin echo sequence, is reduced down to -20.7 dB or about 117.5 times. The experimental pulse sequence and its principle are described and images obtained by the new silent MR imaging technique are reported.

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A study on supersonic jet using Schlieren technique and numerical simulation in low-pressure condition (Schlieren 기법과 수치해석을 이용한 저압 상황의 초음속 제트 유동 연구)

  • Ji, Yun Young;Jang, Dong Kyu;Sohn, Dong Kee;Ko, Han Seo
    • Journal of the Korean Society of Visualization
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    • v.18 no.2
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    • pp.51-58
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    • 2020
  • Research on shock structures of supersonic jet through visualization experiments in low-pressure environment have not been actively conducted. Therefore, in this study, shock waves and supersonic jets were analyzed and compared by numerical analysis and Schlieren technique at low-pressure. Schlieren technique is commonly used to visualize the shock waves generated by density gradient as interferometric methods. Pressure ratio of entrance and ambient was set around 4 to observe moderate under-expanded jet. For validation of experimental and numerical results, the shock structure and frequency were compared. In the case of ST and C nozzle, the results were shown that the difference of shock cell distance was within 10%. The Mach number gradually decreased due to energy reduction, and the error rate was within 7%. D nozzle was not fitted to be observing the shock structure. Because the interface between rarefaction fan and supersonic jet was ambiguous and oscillating phemenoma occurred at end of jet, the supersonic jet in low ambient pressure was observed and analyzed.