نتایج جستجو برای: defect detection
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background: congenital heart disease (chd) is the most common congenital anomaly in newborns. this study was performed to determine the live birth incidence of chd by ethnicity and sex in gorgan, northern iran. methods: in this longitudinal, hospital-based study, 18162 live births in dezyani hospital in gorgan, north of iran, were screened for chd, from 2007 through 2009. clinical examination, ...
In order to assure appearance quality of an industrial product, sensory inspection by human vision (visual inspection) is implemented in many manufacturing industries. This study focuses on the fact that the frequency of occurrence of defective products varies each time in production processes, and also considers the relationship between the mixing rate of the defective product and defect detec...
evaluation of pulse oximetry in the early detection of cyanotic congenital heart disease in newborns
background: delayed or missed diagnosis of critical and cyanotic congenital heart disease (chd) in asymptomatic newborns may result in significant morbidity and mortality. the aim of this study was to determine the accuracy of pulse oximetry screening performed on the first day of life for the early detection of critical and cyanotic chd in apparently normal newborns. methods: this cross-secti...
Defect detection has been considered an efficient way to increase the yield rate of panels in thin film transistor liquid crystal display (TFT-LCD) manufacturing. In this study we focus on the array process since it is the first and key process in TFT-LCD manufacturing. Various defects occur in the array process, and some of them could cause great damage to the LCD panels. Thus, how to design a...
background: closure of patent ductus arteriosus (pda), ventricular septal defect (vsd) and atrial septal defect (asd) can be done surgically or by device. this study was designed to compare the total cost of surgical or device closures of pda, asd or vsd for iranian patients. methods: this is a cross-sectional study, conducted from january 1, 2005 until january 1, 2006 in two large heart center...
This paper presents an adaptive image segmentation method based on a new Regional Growing Pulse Coupled Neural Network (PCNN) model for detecting fabric defects. In this method, the pixels of analyzed image are mapped on the neurons in a pulse coupled neural network. Improved PCNN model and regional growing theory are combined in the light of the requirements for fabric defect detection. And th...
Warped Wigner-Hough Transform for Defect Reflection Enhancement in Ultrasonic Guided Wave Monitoring
To improve the defect detectability of Lamb wave inspection systems, the application of nonlinear signal processing was investigated. The approach is based on a Warped Frequency Transform WFT to compensate the dispersive behavior of ultrasonic guided waves, followed by a Wigner-Ville time-frequency analysis and the Hough Transform to further improve localization accuracy. As a result, an automa...
this is a case presentation of a 26-year-old woman with a moderate-sized atrial septal secundum defect (17mm) who underwent catheterism, during which an amplatzer septal occluder number 26 was inserted successfully. on the second postoperative day, she deteriorated and a clinical examination showed a typical tamponade. after a percutaneous aspiration of the pericardial cavity and transient impr...
This paper presents a Gabor filtering approach for automatic inspection of defects in colored texture surfaces. It can simultaneously measure both chromatic and textural anomalies in an image. Two chromatic features derived from the color space are used to form a complex number for color pixel representation. The proposed method is based on the energy response from the convolution of a Gabor fi...
Sofiware defect detectors input structural metrics of code and output a prediction of how faulty a code module might be. Previous studies have shown that such metrics many be confused by the high correlation between metrics. To resolve this, feature subset selection (FSS) techniques such as principal components analysis can be used to reduce the dimensionality of metric sets in hopes of creatin...
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