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Review Do Users Sacrifice Security for Speed and Ease-Of on Smartphones? a Case Study on Attitude(IGI Global, 2020) Pusatli,T.; Koyuncu,M.; Nakip,M.Storing credentials on smartphones to perform online activities increases ease-of-use (EoU) and speed. However, such practices increase security risks, especially if users use a number of applications or store data on their smartphones. Risks become more complicated by keeping smartphones online. This work aims to find potential relationships between security perceptions of smartphone users and their ease-of-use and speed preferences. Two user attitudes are defined as “not considering risk” and “risk exaggeration.” User ease-of-use and speed preferences are limited with the factors related to storing credentials on a smartphone and always keeping the device online. A survey of 154 participants was conducted through convenience sampling. Through regression analyses, logarithmic causality relations are found between EoU and speed and attitudes of not considering risk or risk exaggeration; so the participants preferred to take advantage of EoU and speed despite the fact that they were aware of the risks. Copyright © 2020, IGI Global.Conference Object Citation - Scopus: 26A Suite of Cognitive Complexity Metrics(2012) Misra,S.; Koyuncu,M.; Crasso,M.; Mateos,C.; Zunino,A.In this paper, we propose a suite of cognitive metrics for evaluating complexity of object-oriented (OO) codes. The proposed metric suite evaluates several important features of OO languages. Specifically, the proposed metrics are to measure method complexity, message complexity (coupling), attributes complexity and class complexity. We propose also a code complexity by considering the complexity due to inheritance for the whole system. All these proposed metrics (except attribute complexity) use the cognitive aspect of the code in terms of cognitive weight. All the metrics have critically examined through theoretical and empirical validation processes. © 2012 Springer-Verlag.Conference Object Citation - Scopus: 3Flexible Content Extraction and Querying for Videos(2011) Demir,U.; Koyuncu,M.; Yazici,A.; Yilmaz,T.; Sert,M.In this study, a multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed. The proposed system is realized by following a component-oriented approach. It supports different flexible query capabilities for the requirements of video users, which is the main focus of this paper. The query performance of the system (including automatic semantic content extraction) is tested and analyzed in terms of speed and accuracy. © 2011 Springer-Verlag.Conference Object A Component-Based Object Detection Method Extended With a Fuzzy Inference Engine(Institute of Electrical and Electronics Engineers Inc., 2015) Koyuncu,M.; Cetinkaya,B.In this paper, we propose a component-based object detection method extended with the fuzzy inference technique. The proposed method detects constituent components of a complex object instead of a whole object in images. For component detection, multiple multi-class support vector machines (SVM) are used in parallel. Each SVM classifies the candidate component using a different low-level image feature. The obtained results are fused to reach a decision about the component. Then, a fuzzy object extractor determines the whole object considering the detected components and their geometric configurations. The fuzzy object extractor is a fuzzy inference engine which tests various combinations of detected components and their fuzzified directions and distances. The initial tests yield promising results and encourage further studies to extend proposed method. © 2015 IEEE.Conference Object Citation - Scopus: 5Fuzzy querying in intelligent information systems(2009) Koyuncu,M.Many new database applications require intelligent information management to satisfy different users' query demands. One way to convert conventional database systems to intelligent information systems is to enhance them with a rule-based system. On the other hand, fuzziness becomes unavoidable for some applications and therefore both the database and rule- based systems should handle fuzziness existing in data and queries. This study explains how a fuzzy rule-based system integrated to a fuzzy spatial, temporal or multimedia database improves the query capabilities of the database system intelligently. Fuzzy query types that can be supported by the rule-based system to improve querying power are discussed. © 2009 Springer-Verlag Berlin Heidelberg.
