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Dissertationen zum Thema „Defects classification“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Bengali, Umme Salma Yusuf. "Pixel classification of iris transillumination defects." Thesis, University of Iowa, 2012. https://ir.uiowa.edu/etd/3260.

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2

Mar, Nang Seng Siri. "Vision-based classification of solder joint defects." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/37273/1/Nang_Mar_Thesis.pdf.

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Inspection of solder joints has been a critical process in the electronic manufacturing industry to reduce manufacturing cost, improve yield, and ensure product quality and reliability. The solder joint inspection problem is more challenging than many other visual inspections because of the variability in the appearance of solder joints. Although many research works and various techniques have been developed to classify defect in solder joints, these methods have complex systems of illumination for image acquisition and complicated classification algorithms. An important stage of the analysis

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3

Wang, Hui. "Software Defects Classification Prediction Based On Mining Software Repository." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-216554.

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An important goal during the cycle of software development is to find and fix existing defects as early as possible. This has much to do with software defects prediction and management. Nowadays,many big software development companies have their own development repository, which typically includes a version control system and a bug tracking system. This has no doubt proved useful for software defects prediction. Since the 1990s researchers have been mining software repository to get a deeper understanding of the data. As a result they have come up with some software defects prediction models

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4

Wilson, Duncan John. "Classification of defects using uncertainty in industrial web inspection." Thesis, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286894.

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5

Balakrishnan, Harinarayanan. "FDICS : a vision-based system for identification and classification of fabric defects." Thesis, Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/8465.

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6

Allanqawi, Khaled Kh S. Kh. "A framework for the classification and detection of design defects and software quality assurance." Thesis, Kingston University, 2015. http://eprints.kingston.ac.uk/34534/.

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In current software development lifecyeles of heterogeneous environments, the pitfalls businesses have to face are that software defect tracking, measurements and quality assurance do not start early enough in the development process. In fact the cost of fixing a defect in a production environment is much higher than in the initial phases of the Software Development Life Cycle (SDLC) which is particularly true for Service Oriented Architecture (SOA). Thus the aim of this study is to develop a new framework for defect tracking and detection and quality estimation for early stages particularly f

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7

Bond, Brian Jr. "Characterization of Wood Features Using Color, Shape, and Density Parameters." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30629.

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Automated defect detection methods allow the forest products industry to better utilize its resources by improving yield, reducing labor costs, and allowing minimum lumber grades to be utilized more intelligently. While many methods have been proposed on what sensors and processing methods should be used to detect and classify wood features, there exists a lack of understanding of what parameters are best used to differentiate wood features. The goal of this research is to demonstrate that by having an in depth knowledge of how wood features are represented by color, shape, and density param

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Niewalda, Tobias. "Deep Learning Based Classification of Rail Defects Using On-board Monitoring in the Stockholm Underground." Thesis, KTH, Spårfordon, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273576.

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The purpose of this work is to ﬁnd out if an artiﬁcial neural network can be useful purpose of this work is to ﬁnd out if an artiﬁcial neural network can be useful in order to detect rail squats with the existing Quiet Track Measurement System (QTMS). Squats are surface-initiated rail defects which arise due to rolling contact fatigue. The monitoring system, installed on seven trains running on the green line in the Stockholm underground, aims to improve the maintenance process. The early detection and surveillance of defects helps to extend the service life of the tracks and reduce operating

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Nouri, Arash. "Correlation-Based Detection and Classification of Rail Wheel Defects using Air-coupled Ultrasonic Acoustic Emissions." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/78139.

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Defected wheel are one the major reasons endangered state of railroad vehicles safety statue, due to vehicle derailment and worsen the quality of freight and passenger transportation. Therefore, timely defect detection for monitoring and detecting the state of defects is highly critical. This thesis presents a passive non-contact acoustic structural health monitoring approach using ultrasonic acoustic emissions (UAE) to detect certain defects on different structures, as well as, classifying the type of the defect on them. The acoustic emission signals used in this study are in the ultrasonic r

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Partyka-Jankowska, Ewa, Bogdan Sepiol, Fritz Gröstlinger, et al. "Dynamic of defects in an iron monolayer on W (110)." Diffusion fundamentals 11 (2009) 51, S. 1-2, 2009. https://ul.qucosa.de/id/qucosa%3A12963.

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11

Rust, Stephanus Marthinus. "Classification of timber from Pinus radiata trees exposed to forest fires." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/98097.

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Thesis (MSc)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: This study aimed to classify wood from trees that were exposed to forest fires with regards to their end use. Exposure to high temperatures over time is known to degrade wood in various ways. This degradation could limit the end use by altering mechanical, chemical and physical properties, leading to difficulty in processing or failing to meet required specifications for various grades. In this study wood from Pinus radiata trees that were exposed to forest fires of different levels of heat intensity was analysed with regards t

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Ghaffarian, Niasar Mohamad. "Partial Discharge Signatures of Defects in Insulation Systems Consisting of Oil and Oil-impregnated Paper." Licentiate thesis, KTH, Elektroteknisk teori och konstruktion, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105785.

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Partial discharge measurement is a common method for monitoring and diagnostics of power transformers, and can detect insulation malfunctions before they lead to failure. Different parameters extracted from the measured PD activity can be correlated to the PD source, and as a result it is possible to identify the PD source by analyzing the PD activity. In this thesis, possible defects that could cause harmful PDs in transformers were investigated. These defects include corona in oil, a void in pressboard, a metal object at floating potential, surface discharge in oil, a free bubble in oil and

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Schmidt, Florian, Stefan Müller, Wenckstern Holger von, Gabriele Benndorf, Rainer Pickenhain, and Marius Grundmann. "Impact of strain on electronic defects in (Mg,Zn)O thin films." American Institute of Physics, 2014. https://ul.qucosa.de/id/qucosa%3A31192.

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We have investigated the impact of strain on the incorporation and the properties of extended and point defects in (Mg,Zn)O thin films by means of photoluminescence, X-ray diffraction, deep-level transient spectroscopy (DLTS), and deep-level optical spectroscopy. The recombination line Y2, previously detected in ZnO thin films grown on an Al-doped ZnO buffer layer and attributed to tensile strain, was exclusively found in (Mg,Zn)O samples being under tensile strain and is absent in relaxed or compressively strained thin films. Furthermore a structural defect E3′ can be detected via DLTS measur

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Florio, Claudia, R. Aveta, G. Calvanese, and B. Naviglio. "Advanced diagnostics and innovative solutions for leather defects - 78: the problem of yellowing." Verein für Gerberei-Chemie und -Technik e. V, 2019. https://slub.qucosa.de/id/qucosa%3A34231.

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Content: Providing peculiar enhanced features to leather items is a factor of primary importance for the marketing of high-end articles; although the tanning production is oriented to satisfy a wide market range, it is mainly in the 'high end' and 'premium luxury' categories that the quality properties of the material are more expressed, indeed, and where the main current challenges have been focalized, in terms of technological innovation, sustainability and product quality. The light-coloured leathers belongs to the category of materials designed especially for the luxury market. For this ty

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Bastin, Dirk. "Reassignment of oxygen-related defects in CdTe and CdSe." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-172319.

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This thesis reassigns the OTe-VCd complex in CdTe and the OSe-VCd complex in CdSe to a sulfur-dioxygen complex SO2*, and the OCd defect in CdSe to a VCdH2 complex using Fourier transformed infrared absorption spectroscopy. The publications of the previous complexes were investigated by theoreticians who performed first-principle calculations of theses complexes. The theoreticians ruled out the assignments and proposed alternative defects, instead. The discrepancy between the experimentally obtained and theoretically proposed defects was the motivation of this work. Two local vibrational mode

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Rashetnikava, Alena, Alexander Germanov, Irina Valikova, and Andrei Nazarov. "Molecular dynamics simulation of atomic structure in the vicinity of point defects in FCC and BCC metals." Diffusion fundamentals 11 (2009) 52, S. 1-2, 2009. https://ul.qucosa.de/id/qucosa%3A14014.

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17

Rönnqvist, Johannes, and Johannes Sjölund. "A Deep Learning Approach to Detection and Classification of Small Defects on Painted Surfaces : A Study Made on Volvo GTO, Umeå." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160194.

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In this thesis we conclude that convolutional neural networks, together with phase-measuring deflectometry techniques, can be used to create models which can detect and classify defects on painted surfaces very well, even compared to experienced humans. Further, we show which preprocessing measures enhances the performance of the models. We see that standardisation does increase the classification accuracy of the models. We demonstrate that cleaning the data through relabelling and removing faulty images improves classification accuracy and especially the models' ability to distinguish between

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Reitemeier, Bernd, Michael Unger, Gert Richter, Barbara Ender, Ursula Range, and Jutta Markwardt. "Clinical Test of Masticatory Efficacy in Patients with Maxillary/Mandibular Defects Due to Tumors." Karger, 2012. https://tud.qucosa.de/id/qucosa%3A27602.

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Background: The goal of the study was to evaluate the masticatory efficacy in patients who had been provided with resection prostheses after tumor removal in the maxillary/ mandibular region. These patients complained of impairment of masticatory function. Patients and Methods: 3 groups of patients were compared under clinical-experimental conditions. A uniform chewing material was masticated by the participants under standardized conditions. A sieving procedure was used to evaluate the masticatory efficacy. Analysis of the particle sizes and particle masses obtained was performed with the aid

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Kutsche, Kerstin, Walter Werner, Oliver Bartsch, der Wense Axel von, Peter Meinecke, and Andreas Gal. "Microphthalmia with linear skin defects syndrome (MLS): a male with a mosaic paracentric inversion of Xp." Karger, 2002. https://tud.qucosa.de/id/qucosa%3A27747.

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The microphthalmia with linear skin defects syndrome (MLS) is an X-linked dominant disorder with male lethality. In the majority of the patients reported, the MLS syndrome is caused by segmental monosomy of the Xp22.3 region. To date, five male patients with MLS and 46,XX karyotype (“XX males”) have been described. Here we report on the first male case with MLS and an XY complement. The patient showed agenesis of the corpus callosum, histiocytoid cardiomyopathy, and lactic acidosis but no microphthalmia, and carried a mosaic subtle inversion of the short arm of the X chromosome in 15% of his p

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20

Bernhardt, Anne, Birgit Paul, and Michael Gelinsky. "Biphasic Scaffolds from Marine Collagens for Regeneration of Osteochondral Defects." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234963.

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Background: Collagens of marine origin are applied increasingly as alternatives to mammalian collagens in tissue engineering. The aim of the present study was to develop a biphasic scaffold from exclusively marine collagens supporting both osteogenic and chondrogenic differentiation and to find a suitable setup for in vitro chondrogenic and osteogenic differentiation of human mesenchymal stroma cells (hMSC). Methods: Biphasic scaffolds from biomimetically mineralized salmon collagen and fibrillized jellyfish collagen were fabricated by joint freeze-drying and crosslinking. Different experimen

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Delconte, Florian. "Détection et classification automatique des singularités sur l’écorce des arbres." Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0280.

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Déterminer la qualité du bois est un enjeu important pour la gestion forestière et l'industrie du bois. La présence de défauts dans le bois impacte les propriétés du bois. C'est un critère important pour estimer sa qualité. Ces déformations sont dues à des processus biologiques et à la croissance de l'arbre. L'écorce témoigne de ce processus, et des singularités dans l'écorce de l'arbre peuvent donner des indices sur la déformation du bois sous-jacent. Établir le lien entre les déformations de l'écorce et leurs impacts dans le bois permet d'améliorer les décisions dans la chaîne d'approvisionn

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22

Somerson, Jeremy. "Mesenchymal Stem Cell Constructs for Repair of Focal Cartilage Defects in an Ovine Model." Doctoral thesis, Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-214417.

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Focal cartilage defects (FCD) of the knee joint remain a difficult area of treatment for orthopaedic surgeons, as they often progress to generalized osteoarthritis (OA). Osteochondral autograft transfer (OAT) to the damaged cartilage area has shown promise, but this has been associated with pain and bleeding at the site of graft harvest. The use of mesenchymal stem cells (MSCs) in a matrix to regenerate articular cartilage has been proposed. This work describes a prospective case-control series comparing OAT with a novel, MSC-seeded scaffold graft in the stifle joints of healthy merino sheep.

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Bowes, David Hutchinson. "Factors affecting the performance of trainable models for software defect prediction." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/10978.

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Context. Reports suggest that defects in code cost the US in excess of $50billion per year to put right. Defect Prediction is an important part of Software Engineering. It allows developers to prioritise the code that needs to be inspected when trying to reduce the number of defects in code. A small change in the number of defects found will have a significant impact on the cost of producing software. Aims. The aim of this dissertation is to investigate the factors which a ect the performance of defect prediction models. Identifying the causes of variation in the way that variables are compute

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Markwardt, Jutta, Günther Pfeifer, Uwe Eckelt, and Bernd Reitemeier. "Analysis of Complications after Reconstruction of Bone Defects Involving Complete Mandibular Resection Using Finite Element Modelling." Karger, 2007. https://tud.qucosa.de/id/qucosa%3A27607.

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Background: In a retrospective study, risk factors for complications after the bridging of mandibular defects using reconstruction plates were reviewed. Especially the loosening of the plate-screw-mandible complex should be analyzed with a finite element model in order to reduce plate complications in future. Patients and Methods: We examined 60 patients who underwent a treatment with reconstruction plates after tumor resection during a period of 10 years. The problem of screw loosening was additionally reviewed by means of a finite element study, and a model for the loosening process was deve

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Di, Pietro Riccardo, Tim Erdmann, Naixiang Wang, et al. "The impact of molecular weight, air exposure and molecular doping on the charge transport properties and electronic defects in dithienyldiketopyrrolopyrrole- thieno[3,2-b]thiophene copolymers." Royal Society of Chemistry, 2016. https://tud.qucosa.de/id/qucosa%3A36273.

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We performed an in-depth study of high molecular weight poly[3,6-(dithiophene-2-yl)-2,5-di(2-octyldodecyl)-pyrrolo[3,4-c]pyrrole-1,4-dione-alt-thieno[3,2-b]thiophene] P(DPP2OD-TT) synthesized through the Stille coupling polycondensation in order to understand the correlation between molecular weight, processing conditions and charge transport. We observed a rapid increase in its aggregation in solution with increasing molecular weight which strongly limits the solubility and processability for weight average molecular weights beyond 200 kg mol⁻¹. This results in severe limitation in the charge

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Kaden, Thomas. "Temperatur- und injektionsabhängige Photospannungsmessungen zur Defektcharakterisierung in kristallinem Silizium." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2014. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-150612.

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Mit wellenlängenabhängigen Messungen der Oberflächenphotospannung (Surface Photovoltage, SPV) lässt sich die Diffusionslänge von Ladungsträgern im Volumen von Siliziumproben messen. Das Ziel der Arbeit war es, mit Hilfe temperatur- und injektionsabhängiger Messungen der Diffusionslänge die Natur rekombinationsaktiver Defekte in kristallinem Silizium zu untersuchen. Im Rahmen der Arbeit wurde eine zu diesem Zwecke geeignete Messanlage sowie die nötigen Mess- und Auswerteprozeduren entwickelt. Die Möglichkeiten und Grenzen der aufgebauten Anlage wurden durch Messungen an gezielt mit Eisen, Kupfe

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Wilhelm, Maximilian Felix, Uwe Füssel, Thomas Richter, Matthias Riemer, and Martin Foerster. "Analysis of the shear-out failure mode for CFRP connections joined by forming." Sage, 2015. https://tud.qucosa.de/id/qucosa%3A35782.

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In this paper, we look at the shear-out failure of carbon fiber reinforced plastics connections in the automotive industry. Contrary to the aircraft industry, the boundary conditions of automotive applications favor this failure mode strongly. Moreover, the use of other joining technologies than that used in the aircraft industry, such as joining by forming, leads to new challenges. The different influences, typical for joining by forming, on ultimate shear-out strength were first investigated separately and then transferred and validated on connections related to praxis by an analytical model

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Müller, Rainer, Andreas Höhlein, Annette Wolf, et al. "Evaluation of Selected Speech Parameters after Prosthesis Supply in Patients with Maxillary or Mandibular Defects." Karger, 2013. https://tud.qucosa.de/id/qucosa%3A71635.

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Background: Ablative surgery of oropharyngeal tumors frequently leads to defects in the speech organs, resulting in impairment of speech up to the point of unintelligibility. The aim of the present study was the assessment of selected parameters of speech with and without resection prostheses. Patients and Methods: The speech sounds of 22 patients suffering from maxillary and mandibular defects were recorded using a digital audio tape (DAT) recorder with and without resection prostheses. Evaluation of the resonance and the production of the sounds /s/, /sch/, and /ch/ was performed by 2 experi

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Zobelli, Alberto. "Electron beam generation and structure of defects in carbon and boron nitride nanotubes." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2007. http://nbn-resolving.de/urn:nbn:de:swb:14-1197988167199-13274.

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The nature and role of defects is of primary importance to understand the physical properties of C and BN single walled nanotubes. Transmission electron microscopy (TEM) is a well known powerful tool to study the structure of defects in materials. However, in the case of SWNTs, the electron irradiation of the TEM may knock out atoms. This effect may alter the native structure of the tube, and has also been proposed as a potential tool for nanoengineering of nanotubular structures. Here we develop a theoretical description of the irradiation mechanism. First, the anisotropy of the emission ener

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Benda, Jan. "Klasifikace vad." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442537.

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The thesis deals with a concept and creation of classifiers of defects found on continuous production lines. The first part presents an overview of methods used for image classification and a analysis of defects. The main part of the thesis consist of a description of created classifier interface and graphical user interface for classifier. The last part sums up reliability of each implemented classifer.

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Buchwald, Rajko. "Optoelektrische Magnetfelduntersuchungen an Solarsilizium." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2010. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-39445.

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Es werden die Ergebnisse der Untersuchungen von Stromverteilungen an Solarzellen und Solarmaterial durch magnetische, elektrische und optische Messmethoden gezeigt. Die neue magnetfeldtopographische Messmethode CAIC wird hierbei erläutert und deren Stromverteilungen mit Ergebnissen der IR-Durchlichtmikroskopie, der LBIC- und der LIT-Methode verglichen und ausgewertet. Auf Basis der durchgeführten Untersuchungen und der Annahme des Vorhandenseins einer Korngrenzendekoration werden die Stromverlaufsmodelle einer elektrisch aktiven Korngrenze für eine Probe mit pn-Übergang sowie für eine Probe oh

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Wong, Boon Kwei. "Automatic surface defect recognition and classification." Thesis, University of Sunderland, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283762.

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Johnson, Jay Tillay. "Defect and thickness inspection system for cast thin films using machine vision and full-field transmission densitometry." Thesis, Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/37234.

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Quick mass production of homogeneous thin film material is required in paper, plastic, fabric, and thin film industries. Due to the high feed rates and small thicknesses, machine vision and other nondestructive evaluation techniques are used to ensure consistent, defect-free material by continuously assessing post-production quality. One of the fastest growing inspection areas is for 0.5-500 micrometer thick thin films, which are used for semiconductor wafers, amorphous photovoltaics, optical films, plastics, and organic and inorganic membranes. As a demonstration application, a prototype ro

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Ngendangenzwa, Blaise. "Defect detection and classification on painted specular surfaces." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-146063.

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The Volvo Trucks cab plant in Umea is one of the northern Sweden’s largestengineering industries. The plant manufactures only cabs for trucks and is one of the most modern production plants in the world. Despite a highly automated and computerized system among many processes, the paint quality inspection process is still mainly performed manually. A real-time automated and intelligent quality inspection for painted cabs is highly desired to decrease the costs and at the same time to increase both the production efficiency and the product quality. This project is one step forward to the automat

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Janošík, Zdeněk. "Klasifikace detekovaných vad." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221300.

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In this master thesis is described how to design and implement classifier of defects detected during the final stage of production nonwovens. The beginning of the thesis is devoted to the analysis of options for image processing and classification. Followed by the part, where is described process of image segmentation and extraction of feature vector. Description of classifier implementation and table of achieved results of classification on real images of detected defects.

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Rønsted, Nina. "Towards a natural classification of Plantago : chemical and molecular systematics /." Cph. : Royal Danish School of Pharmacy, Department of Medicinal Chemistry, 2002. http://www.dfh.dk/phd/defences/Nina%20Ronsted.html.

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Yang, Xuezhi, and 楊學志. "Discriminative fabric defect detection and classification using adaptive wavelet." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29913408.

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Wu, Ching-Ming, and 吳璟旻. "A neural-network approach for wafer defects pattern classification." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/44586708557044604231.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>93<br>Nowadays, the procedures of semiconductor manufacturing have become more and more sophisticated. Though highly automated facilities are used to process the complex manufacturing steps in the near particle free environment, the yield loss is still unavoidable. Manufacturers must develop a method that enables them to improve yield. Recognizing the existence of a systematic defect provides a clue to identifying the equipment or process abnormality responsible for the defect. However, the process of defect classification is time-consuming, monotonous and costly

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WU, CHEN-HAO, and 巫承昊. "The Recognition and Classification of Defects of Lace Fabrics." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/75011375293469599467.

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碩士<br>國立臺北科技大學<br>有機高分子研究所<br>90<br>The inspection of fabric defects is the most important process for ensuring the quality of final products. Traditionally, manual inspections are not only time wasted but also labour intensive. To solve these problems, lots of researches apply updated computer visual technologies to the “Automatic Inspection of Fabric Defects System”. However, most of those researches focus on the inspection of woven fabrics or nonwoven fabrics. The researches and applications for the inspections of lace fabrics, jacquard fabrics, print fabrics or others are rare. Therefo

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Huang, Hsu-Yi, and 黃旭儀. "Automatic Classification of Color Filter Defects by Data Mining." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/03004494570636724713.

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碩士<br>中原大學<br>資訊工程研究所<br>101<br>Nowadays, life cycles of electronic products, such as televisions, tablet computers, and smart phones, have become shorter and shorter, due to the renewed and fast developed information technologies. Therefore, it is important to control the productivity and quality of these products. The industry of TFT LCD plays an important role in the supply chain of these IT products. Therefore, it is a challenge to keep high productivity and high quality of TFT LCD for the flat display industry. In the quality control process, the last checking of color filter (CF) of TFT

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陳毅均. "Recognition and Classification of Fabric Defects by Fuzzy-Neural Systems." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/07126465283023212303.

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碩士<br>國立臺灣科技大學<br>纖維及高分子工程研究所<br>87<br>Due to rapid development and increasingly rigorous quality requirement in the textile industry, the automation is definitely prerequisite. However, human operators usually inspect fabric defects, which is subjective, tedious, and time—consuming. The inspection results are greatly influenced by the mental and physical condition of an inspector. In this study, fabric defects are detected and classified using fuzzy neural network based on their features. The conjunction of fuzzy logic and neural network algorithms can enhance the fabric defect recognition s

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Chen, Chia Fa, and 陳加發. "Using Neural Networks for Surface Defects Classification - A Pilot Study." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/50909392206083002781.

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碩士<br>中原大學<br>工業工程研究所<br>82<br>The machine vision system apply in the production line is the solution for the dificulty of the automatic production process. The merchandize of the machine vision system is used statistics paptern recognition as classifier method. For statistics and structure ayalysis method need a complex analysis for each pattern of data. So, in this study, we will use neural network to classify the defects of the oil-lid. In this study, image substraction, image m

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Wu, Tsung-Lin, and 吳昌林. "A Computer Vision System for Detection and Classification of Defects." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/66308090046378263068.

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Chen, Ching, and 陳靚. "Applying Image Recognition on Solar Cell Defects Inspection and Classification." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/q628wv.

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碩士<br>正修科技大學<br>資訊管理研究所<br>107<br>The natural energy is so important so that the solar power industry and light-electricity conversion devices are developed fast during these days. For all products in this field, solar cell is the most important device which generates electricity by drawing sunlight and sometimes store the electricity to a normal battery. The faults on the surface of solar cell leads to the light-electric conversion efficiency decreased of the solar cell and to eventually shorten the battery life. Traditional manual detection in manufacturing solar cell consumes labor and manp

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Wang, Yu-min, and 王裕民. "PCB Golden Finger Defects Classification Research Under Small Sample Size Situation." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/10196244075714032045.

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碩士<br>元智大學<br>工業工程研究所<br>87<br>PCB Golden Finger Defects Classification Research Under Small-Sample Size Situation Student:Yu-Min Wang Advisor:Dr.B.C.Jiang Department of Industrial Engineering YUAN-ZE University ABSTRACT Generally, using machine vision to inspect surface defects of manufacturing parts in industry, the classification of the defects can provide important information on how to improve quality in manufacturing processes. However, current available classification schemes are not able to handle

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Wang, Chien-Chih, and 王建智. "A Study of Defects Classification Based on Automatic Visual Inspection System." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/28916858456650309403.

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博士<br>元智大學<br>工業工程研究所<br>89<br>This research is based an automatic visual system to develop a new classification model and to apply it to the printed circuit board (PCB) defects classification. The feature selection and classifier design are key factors for the classification. To address these two aspects, this research proposed a new algorithm and procedure, and using the solder joints for a PCB from a monitor manufacturer in Taiwan and a set of OCR data to verify these methods. Two new algorithms for feature selection were studied： (I) Single Feature Selection：The feat

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Hsu, Yu-Nan, and 許友南. "Machine Vision Based Inspection and Classification for PCB Solder Joints Defects." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/66648719378723402615.

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碩士<br>元智大學<br>工業工程研究所<br>88<br>To inspect the quality of solder joints defects needs some special illumination arrangement, such as LED、structural light, or some special instrument, such as X-ray、ultrasonic images. Because these equipments are expensive and can’t inspect solder joints defects effectively, the application for these illumination techniques is limited. The focus of this study is to provide a solder joints inspection framework based on machine vision. After capturing images which need inspection by a CCD camera, it utilizes the image of copper region on the PCB bare boa

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Chuang, Fuji, and 莊富傑. "The Detection and Classification of Lead Frame Defects Using Neural Networks." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/44883327211863894990.

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碩士<br>中華大學<br>機械與航太工程研究所<br>87<br>As the pitch getting finer and the lead number getting higher, the inspection of IC lead frame using bare eyes becomes more difficult. To lessen the workload of human inspectors, an effective method for the detection and classification of defects is presented. First, the proposed method uses image-processing techniques such as image enhancement, image segmentation, edge detection, morphological operation, and labeling to locate defects. Next, feature extraction techniques are applied to measure such features as perimeter, moments, area, eccentricity, compactne

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Fernandes, Pedro Miguel Pinto da Cunha. "Detection of production defects using Machine Learning based Image Classification Algorithms." Master's thesis, 2020. https://hdl.handle.net/10216/129867.

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Fernandes, Pedro Miguel Pinto da Cunha. "Detection of production defects using Machine Learning based Image Classification Algorithms." Dissertação, 2020. https://hdl.handle.net/10216/129867.

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