Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651

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Subject: search.filters.subject.Defect Detection

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Now showing 1 - 6 of 6
  • Conference Object
    Citation - Scopus: 1
    How Engineers Understand Entity Relationship Diagrams (Erd): Insights From Eye Tracker Data
    (IADIS, 2012) Tokdemir, G.; Tokdemir, Gül; Cagiltay, N.E.; Kilic, O.; Bilgisayar Mühendisliği
    Entity Relationship Diagram (ERD) is one of the main tools used in software design process. This representation enables software engineers to understand system data requirements at a more comprehensive level. Designing and understanding of ERD and hence system data requirements is a critical issue for the success of software projects. In this study we are introducing an experiment environment which would be used to understand the behaviors of software engineers during designing and understanding these representations. This experimental setting is planned to be used to measure the software engineers' performance during ERD defect detection process. We believe such an environment can be used to develop some reviewing guidelines for the software engineers to improve their reviewing process in ERD which in turn will provide some tools for the educators to improve design and review skills of future software engineers. The results of this study would also provide recommendations for the researchers in similar experiments. © 2012 IADIS.
  • Article
    Citation - Scopus: 2
    Damage Detection in Aircraft Engine Borescope Inspection Using Deep Learning
    (Springer Science and Business Media Deutschland GmbH, 2025) Uzun, I.; Tolun, M.R.; Sari, F.; Alpaslan, F.N.
    Aircraft engine inspection is a key pillar of aviation safety as it helps to maintain adequate performance standards to ensure engine airworthiness. In addition, it is also vital for asset value retention. Borescope inspection is currently the most widely used visual inspection method for aircraft engines. However, borescope inspection is a time-consuming, subjective, and complex process that heavily depends on the experience and attention level of the inspector. Moreover, the cost savings of airlines and the maintenance, repair, and overhaul (MRO) centers expose pressure and workload on inspectors. These factors make an automated system to support damage detection during borescope inspection necessary in order to mitigate potential risks. In this paper, we propose a deep learning-based automated damage detection framework that employs aircraft engine borescope inspection images. Faster R-CNN-based deep learning model with Inception v2 feature extractor is utilized for the present architecture. Due to the limited number of images, data augmentation and other overfitting methods are also employed. The framework supports crack, burn, nick, and dent damage types across all modules of turbofan engines. It is trained and validated with moderate to complex borescope images obtained from the field. The framework achieves 92.64% accuracy for crack, 92.05% for nick or dent, and 81.14% for burn damage classes, with an overall 88.61% average accuracy. © The Author(s) 2025.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 1
    Millimeter-Wave Sar Imaging for Sub-Millimeter Defect Detection With Non-Destructive Testing
    (Mdpi, 2025) Yalcinkaya, Bengisu; Aydin, Elif; Kara, Ali
    This paper introduces a high-resolution 77-81 GHz mmWave Synthetic Aperture Radar (SAR) imaging methodology integrating low-cost hardware with modified radar signal characteristics specifically for NDT applications. The system is optimized to detect minimal defects in materials, including low-reflectivity ones. In contrast to the existing studies, by optimizing key system parameters, including frequency slope, sampling interval, and scanning aperture, high-resolution SAR images are achieved with reduced computational complexity and storage requirements. The experiments demonstrate the effectiveness of the system in detecting optically undetectable minimal surface defects down to 0.4 mm, such as bonded adhesive lines on low-reflectivity materials with 2500 measurement points and sub-millimeter features on metallic targets at a distance of 30 cm. The results show that the proposed system achieves comparable or superior image quality to existing high-cost setups while requiring fewer data points and simpler signal processing. Low-cost, low-complexity, and easy-to-build mmWave SAR imaging is constructed for high-resolution SAR imagery of targets with a focus on detecting defects in low-reflectivity materials. This approach has significant potential for practical NDT applications with a unique emphasis on scalability, cost-effectiveness, and enhanced performance on low-reflectivity materials for industries such as manufacturing, civil engineering, and 3D printing.
  • Conference Object
    Multimodal Interaction Flow Representation for Ubiquitous Environments - Mif: a Case Study in Surgical Navigation Interface Design
    (Springer Verlag, 2015) Altun, G.; Cagiltay, N.E.; Maras, H.H.; Borcek, A.O.; Tokdemir, G.
    With the advent of technology, new interaction modalities became available which augmented the system interaction. Even though there are vast amount of applications for the ubiquitous devices like mobile agents, smart glasses and wearable technologies, many of them are hardly preferred by users. The success of those systems is highly dependent on the quality of the interaction design. Moreover, domain specific applications developed for these ubiquitous devices involve detailed domain knowledge which normally IT professionals do not have, which may involve a substantial lack of quality in the services provided. Hence, effective and high quality domain specific applications developed for these ubiquitous devices require significant collaboration of domain experts and IT professionals during the development process. Accordingly, tools to provide common communication medium between domain experts and IT professionals would provide necessary medium for communication. In this study, a new modelling tool for interaction design of ubiquitous devices like mobile agents, wearable devices is proposed which includes different interaction modalities. In order to better understand the effectiveness of this newly proposed design tool, an experimental study is conducted with 11 undergraduate students (novices) and 15 graduate students (experienced) of Computer Engineering Department for evaluating defect detection performance for the defects seeded into the interface design of a neuronavigation device. Results show that the defects were realized as more difficult for the novices and their performance was lower compared to experienced ones. Considering the defect types, wrong information and wrong button type of defects were recognized as more difficult. The results of this study aimed to provide insights for the system designers to better represent the interaction design details and to improve the communication level of IT professionals and the domain experts. © Springer International Publishing Switzerland 2015.
  • Conference Object
    Understanding Bpmn Through Defect Detection Process
    (SciTePress, 2017) Metin, D.; Tokdemir, G.
    BPMN (Business Process Modelling Notation) diagrams enhance the perception of the business analysts to better understand and analyse the processes of the organizational setting and provide a common communication medium both for business analysts and IT professionals. The changes in the business systems require business analysts to understand the processes and improve them and IT professionals to comprehend and implement these processes as a software system. The main aim of this study is to analyse which type of defects can be detected in a given BPMN diagrams easily by novice users. We believe the results of this study will provide a guide for the educators in teaching, for business analysts and IT professionals in understanding and improving business processes.
  • Article
    Citation - WoS: 22
    Citation - Scopus: 37
    Performing and Analyzing Non-Formal Inspections of Entity Relationship Diagram (Erd)
    (Elsevier Science inc, 2013) Tokdemir, Gul; Kilic, Ozkan; Topalli, Damla; Cagiltay, Nergiz Ercil
    Designing and understanding of diagrammatic representations is a critical issue for the success of software projects because diagrams in this field provide a collection of related information with various perceptual signs and they help software engineers to understand operational systems at different levels of information system development process. Entity relationship diagram (ERD) is one of the main diagrammatic representations of a conceptual data model that reflects users' data requirements in a database system. In today's business environment, the business model is in a constant change which creates highly dynamic data requirements which also requires additional processes like modifications of ERD. However, in the literature there are not many measures to better understand the behaviors of software engineers during designing and understanding these representations. Hence, the main motivation of this study is to develop measures to better understand performance of software engineers during their understanding process of ERD. Accordingly, this study proposes two measures for ERD defect detection process. The defect detection difficulty level (DF) measures how difficult a defect to be detected according to the other defects for a group of software engineers. Defect detection performance (PP) measure is also proposed to understand the performance of a software engineer during the defect detection process. The results of this study are validated through the eye tracker data collected during the defect detection process of participants. Additionally, a relationship between the defect detection performance (PP) of a software engineer and his/her search patterns within an ERD is analyzed. Second experiment with five participants is also conducted to show the correlation between the proposed metric results and eye tracker data. The results of experiment-2 also found to be similar for DF and PP values. The results of this study are expected to provide insights to the researchers, software companies, and to the educators to improve ERD reasoning process. Through these measures several design guidelines can be developed for better graphical representations and modeling of the information which would improve quality of these diagrams. Moreover, some reviewing instructions can be developed for the software engineers to improve their reviewing process in ERD. These guidelines in turn will provide some tools for the educators to improve design and review skills of future software engineers. (c) 2013 Elsevier Inc. All rights reserved.