Scopus İndeksli Yayınlar Koleksiyonu

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

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Access Right: Open AccessSubject: search.filters.subject.Defect Detection

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  • 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.