• Title/Summary/Keyword: Rotation stage

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Combined Rotation and Advancement Flap Reconstruction for a Defect of the Upper Lip: 2 Cases

  • Lee, Jun-Sang;Oh, Suk-Joon;Jung, Sung-Won;Koh, Sung-Hoon
    • Archives of Plastic Surgery
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    • v.39 no.3
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    • pp.244-248
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    • 2012
  • Many types of upper lip reconstruction have been introduced to treat defects after a tumor excision or trauma. The authors treated two cases of upper lip defects. A 35-year-old woman presented with a squamous cell carcinoma of the left upper lip that had invaded the corner of the mouth. After resecting the tumor, the defect was $3.7{\times}3.5cm$ in size. A 52-year-old woman presented with a dog bite of the right upper lip. The defect measured $4.0{\times}2.2cm$ in size. The two cases were reconstructed by combined rotation and advancement of a cheek flap. This technique produced a good functional outcome that allowed for oral competence and created an opening of adequate size. A combination of rotation and an advancement flap can be used to treat upper lip defects in a single-stage procedure. This approach produces a good functional and cosmetic outcome.

A Study on the Novel Optical/Digital Invariant Recognition for Recognizing Patterns with Straight Lines (직선패턴 인식을 위한 새로운 광/디지틀 불변 인식에 관한 연구)

  • Huh, Hyun;Jung, Dong-Gyu;Kang, Dong-Seung;Pan, Jae-Kyung;,
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.11
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    • pp.116-123
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    • 1994
  • A novel opto-digital pattern recognition method which has shift, rotation, and scale invariant properties is proposed for recognizing two dimensional images having straight lines. The algorithm is composed of three stages. In the first stage the line features of the image are extracted. The second stage imposes the shift, rotation, and scale invariant properties on the extracted features through normalizing procedure. The required normalizing equations are analytically explained. In the last stage, the artificial feedforward neural network is trained with the extracted features. In order to evaluated the proposed algorithm, nine different edge enhnaced binary images composed of straight lines are tested. Thus the proposed algorithm can recognize the patterns event though they are shifted, rotated, and scaled.

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Morphometric Characterisation of Root-Knot Nematode Populations from Three Regions in Ghana

  • Nyaku, Seloame Tatu;Lutuf, Hanif;Cornelius, Eric
    • The Plant Pathology Journal
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    • v.34 no.6
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    • pp.544-554
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    • 2018
  • Tomato (Solanum lycopersicum) production in Ghana is limited by the root-knot nematode (Meloidogyne incognita, and yield losses over 70% have been experienced in farmer fields. Major management strategies of the root-knot nematode (RKN), such as rotation and nematicide application, and crop rotation are either little efficient and harmful to environments, with high control cost, respectively. Therefore, this study aims to examine morphometric variations of RKN populations in Ghana, using principal component analysis (PCA), of which the information can be utilized for the development of tomato cultivars resistant to RKN. Ninety (90) second-stage juveniles (J2) and 16 adult males of M. incognita were morphometrically characterized. Six and five morphometric variables were measured for adult males and second-stage juveniles (J2) respectively. Morphological measurements showed differences among the adult males and second-stage juveniles (J2). A plot of PC1 and PC2 for M. incognita male populations showed clustering into three main groups. Populations from Asuosu and Afrancho (Group I) were more closely related compared to populations from Tuobodom and Vea (Group II). There was however a single nematode from Afrancho (AF4) that fell into Group III. Biplots for male populations indicate, body length, DEGO, greatest body width, and gubernaculum length serving as variables distinguishing Group 1 and Group 2 populations. These same groupings from the PCA were reflected in the dendogram generated using Agglomerative Hierarchical Clustering (AHC). This study provides the first report on morphometric characterisation of M. incognita male and juvenile populations in Ghana showing significant morphological variation.

A Dual-Stage Servo System for an NFR Disk Drive using Iterative Learning Control (반복 학습 제어를 이용한 NFR 디스크 드라이브의 2단 서보 시스템)

  • 문정호;도태용
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.4
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    • pp.277-283
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    • 2003
  • Recently, near-field recording (NFR) disk drive schemes have been proposed with a view to increasing recording densities of hard disk drives. Compared with hard disk drives. NFR disk drives have narrower track pitches and are exposed to more severe periodic disturbances resulting from eccentric rotation of the disk. It is difficult to meet servo system design specifications for NFR disk drives with conventional VCM actuators in that the servo system for an NFR disk drive generally requires a feater gain and higher bandwidth. To tackle the problem various dual-stage actuator systems composed of a microactuator mounted on top of a conventional VCM actuator have been proposed. This article deals with the problem of designing a tracking servo system far an NFR disk drive adopting a dual-stage actuator. We summarize design constraints pertaining to the dual-stage servo system and present a new servo scheme using iterative teaming control. We design feedback compensators and an iterative teaming controller for a target plant and verify the validity of the proposed control scheme through a computer simulation.

Experiment of the Precision micro-positioning stage (초정밀 마이크로 위치결정 스테이지의 제작 및 평가)

  • Han, C. S.;Paek, S.;No, M. K.;Lee, C. H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.244-247
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    • 2002
  • The performance of the precision micro-positioning 4-dof stage is presented. The compact design utilizes the monolithic mechanism to achieve the translation in the Z axis and rotation in the $\theta$ z, $\theta$ x and $\theta$ y axes with high stiffness and high damping. Hysteresis, nonlinearity, and drift of the piezoelectric effects are improved by incorporating the sensors in a feedback control. Experiments demonstrate that the micro-positioning stage is capable of 2nm resolution over the travel range of 25$\mu\textrm$ m in the Z axis, 0.0l7 $\mu\textrm$ rad resolution over the 170$\mu\textrm$ rad in the $\theta$ z and 0.011 $\mu\textrm$ rad resolution over the $\mu\textrm$ rad in the $\theta$ x and $\theta$ y axes. The cross-axis interferences among the axes are at a noise range. This stage is available for positioning error compensation of the XY stage with large stroke.

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Sequential movement of the caisson on soft clays in the construction of the port (연약 지반 지역의 항만 시공 단계에 따른 케이슨 변위 거동)

  • Choo, Yoon-Sik;Jung, Young-Hoon;Hwang, Se-Hwan;Chung, Choong-Ki
    • Proceedings of the Korean Geotechical Society Conference
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    • 2009.03a
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    • pp.199-209
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    • 2009
  • The movement of the caisson used to construct a wharf front can affect functional performance of the port. Sequential movement of caissons at each stage of the construction is essential in the overall design as well as the stability of the port. It is common that back-analysis using the previous measurement is performed to predict the caisson movement, while there is no intensive study on sequential movement of the caissons according to the construction stage. In the study, we analyzed the pattern of the movement of caissons as a port is constructed. To simulate the construction of the port, the finite element method (FEM) is employed. The computed result shows that the caisson moves differently at each construction stage. When the caisson is being installed, the displacement of the caisson takes place mainly in vertical direction. In next stage of filling rocks behind the caisson, the top of the caisson move toward shore, while the bottom moves toward sea, thus rotating the caisson. The maximum rotation of the caisson takes place in the stage of filling rocks behind the caisson.

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A PSRI Feature Extraction and Automatic Target Recognition Using a Cooperative Network and an MLP. (Cooperative network와 MLP를 이용한 PSRI 특징추출 및 자동표적인식)

  • 전준형;김진호;최흥문
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.6
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    • pp.198-207
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    • 1996
  • A PSRI (position, scale, and rotation invariant ) feature extraction and automatic target recognition system using a cooperative network and an MLP is proposed. We can extract position invarient features by obtaining the target center using the projection and the moment in preprocessing stage. The scale and rotation invariant features are extracted from the contour projection of the number of edge pixels on each of the concentric circles, which is input to the cooperative network. By extracting the representative PSRI features form the features and their differentiations using max-net and min-net, we can rdduce the number of input neurons of the MLP, and make the resulted automatic target recognition system less sensitive to input variances. Experiments are conduted on various complex images which are shifted, rotated, or scaled, and the results show that the proposed system is very efficient for PSRI feature extractions and automatic target recognitions.

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Electron-Microscopic Studies on the Spermiogenesis and Spermatozoa of the Allied Rock Wallaby(Petrogale assimilus) (캥거루우(Allied Rock Wallaby, Petrogale assimilus)의 정자완성(精子完成)과 정자(精子)에 관한 전자현미경적(電子顯微鏡的) 연구(硏究))

  • Kim, J.W.;Harding, H.R.;Shorey, C.D.
    • Applied Microscopy
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    • v.17 no.1
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    • pp.1-15
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    • 1987
  • Testes from the allied rock wallaby(Petrogale assimilus) have been examined by the electron microscopy in thin sections in order to examine spermiogenesis and structure of spermatozoa. The spermiogenesis can be divided into nine stages: early Golgi, late Golgi, collapsing, nuclear protrusion, condensation and flattening, nuclear shaping, rotation, nuclear ring contraction, and maturation. The acrosome has been abruptly formed following the collapse of expanded acrosomal vesicle without the cap stage described in the eutheria. The flatly condensed nucleus rotates obliquely to the axis of the axial filament complex and the folded acrosome covers the anterior third of the dorsal nuclear surface forming a wide subacrosormal space as the nuclear ring has contracted. The Sertoli cell reaction and spur are prominent during the nuclear protrusion and rotation stages. A mature spermatozoon has S-shape head which has an extended part reaching to the vicinity of the middle piece.

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Classification Characteristics of High Efficient Turbo Classifier (고성능 터보분급기의 분급 특성)

  • Song, Dong-Keun;Hong, Won-Seok;Han, Bang-Woo;Kim, Hak-Joon;Huh, Byong-Soo;Kim, Yong-Jin
    • Proceedings of the KSME Conference
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    • 2008.11b
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    • pp.2423-2428
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    • 2008
  • A turbo classifier having a rotating rotor of two stage classification region has been developed to have a cut size of 1 micro meter. Particle number concentrations were counted using Aerosol Particle Sizer (APS, TSI co., USA) at inlet and outlet of the classifier. Partial classification efficiency was obtained at various rotation speeds, total flow rates, and feed rates of powders, and classification characteristic depending on design parameters was discussed. Classification performance was enhanced as rotation speed of rotor increased and total flow rate decreased.

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CAD-Based 3-D Object Recognition Using Hough Transform (Hough 변환을 이용한 캐드 기반 삼차원 물체 인식)

  • Ja Seong Ku;Sang Uk Lee
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.9
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    • pp.1171-1180
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    • 1995
  • In this paper, we present a 3-D object recognition system in which the 3-D Hough transform domain is employed to represent the 3-D objects. In object modeling step, the features for recognition are extracted from the CAD models of objects to be recognized. Since the approach is based on the CAD models, the accuracy and flexibility are greatly improved. In matching stage, the sensed image is compared with the stored model, which is assumed to yield a distortion (location and orientation) in the 3-D Hough transform domain. The high dimensional (6-D) parameter space, which defines the distortion, is decomposed into the low dimensional space for an efficient recognition. At first we decompose the distortion parameter into the rotation parameter and the translation parameter, and the rotation parameter is further decomposed into the viewing direction and the rotational angle. Since we use the 3-D Hough transform domain of the input images directly, the sensitivity to the noise and the high computational complexity could be significantly alleviated. The results show that the proposed 3-D object recognition system provides a satisfactory performance on the real range images.

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