Bilişim Sistemleri Mühendisliği / Information Systems Engineering: Recent submissions

  • Surface inspection system for industrial components based on shape from shading minimization approach 
    Kotan, Muhammed; Öz, Cemil (SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 2017)
    An inspection system using estimated three-dimensional (3-D) surface characteristics information to detect and classify the faults to increase the quality control on the frequently used industrial components is proposed. ...
  • Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron 
    Çarklı Yavuz, Burcu; Yurtay, Nilüfer; Özkan, Özhan (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)
    The recent studies indicate that the protein secondary structure provides very important advantages in determining the function of a protein, treating numerous diseases and drug design. Determining the secondary structure ...
  • Supplier selection: an expert system approach 
    Taşkın, Harun; Cedimoğlu, İsmail Hakkı; Topal, Bayram (TAYLOR & FRANCIS LTD, 2007)
    In this work, an expert system has been designed for selecting suppliers in the supply chain management area. A supply chain management system has been designed and an expert system tool has been developed for supplier ...
  • An application of fuzzy clustering to manufacturing cell design 
    Torkul, Orhan; Cedimoğlu, İsmail Hakkı (IOS PRESS, 2006)
    There are several methods and techniques for manufacturing cell design. Many clustering techniques have focused on operations that have been made on part-machine matrix. Some methods have used array-based techniques while ...
  • An industrial visual inspection system that uses inductive learning 
    Torkul, Orhan; Cedimoğlu, İsmail Hakkı (KLUWER ACADEMIC PUBL, 2004)
    This paper presents an industrial visual inspection system that uses inductive learning. The system employs RULES-3 inductive learning algorithm to extract the necessary set of rules and template matching technique to ...
  • A fuzzy approach method for supplier selection 
    Çelebi, Numan; Taşkın, Harun; Bayrak, Murat Yaşar (TAYLOR & FRANCIS LTD, 2007)
    Supplier categorisation, selection and performance evaluation are decisions of strategic importance to companies. Global competition, mass customisation, high customer expectations, and harsh economic conditions are forcing ...
  • A Novel Agent-Supported Academic Online Examination System 
    Taşcı, Tuğrul; Parlak, Zekeriya; Kibar, Alpaslan; Taşbaşı, Nevzat; Cebeci, Halil İbrahim (129, SEC 1, HEPING E RD, EDUCATION BUILDING, RM 611, TAIPEI, 10644, TAIWAN, 2014)
    Proper execution of exams aimed at assessment & evaluation is of critical importance in Learning Management Systems (LMS). Problems arising from human-centered errors or technical difficulties may lead to questioning of ...
  • Are We There Yet? A Progress Report from Three Turkish University Pioneers in Distance Education and E-Learning 
    Torkul, Orhan; Cedimoğlu, İsmail Hakkı (ATHABASCA UNIV PRESS, 2009)
    The international literature provides little in-depth analysis of distance education and e-learning activities, achievements, and challenges in Turkish higher education other than the country's mega-university, Anadolu. ...
  • An integrated fuzzy-grey based approach to group decision making problem for a wagon company 
    Çelebi, Numan; Selvi, İhsan Hakan (IOS PRESS, 2014)
    Supplier Evaluation and Selection (SES) is one of the most crucial issues for many companies because of its strategic importance. Over the years a number of approaches have been presented to SES problems. SES problems are ...
  • An expert system based material selection approach to manufacturing 
    İpek, Mümtaz; Selvi, İhsan Hakan; Fındık, Fehim; Torkul, Orhan; Cedimoğlu, İsmail Hakkı (ELSEVIER SCI LTD, 2013)
    Selection of proper materials for a diverse mechanism is one of the hardest tasks in the design and product improvements in various industrial applications. Materials play a vital and important function during the entire ...
  • Segmented character recognition using curvature-based global image feature 
    Belaynesh Chekol; Numan Celebi; Taşcı, Tuğrul (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2019)
    Character recognition in natural scene images is a fundamental prerequisite for many text-based image analysis tasks. Generally, local image features are employed widely to recognize characters segmented from natural scene ...