Accepted Papers

  • Fuzzy Topological Spaces via Ideals and Grills
    S. E. Abbas and Ismail Ibedou, Jazan University, Saudi Arabia

    In this paper, we study fuzzy ideal topological spaces and fuzzy grill topological spaces. Fuzzy ideals and fuzzy grills are investigated, and it is shown that studying fuzzy topological properties in view of fuzzy ideals is equivalent to studying the same properties in view of fuzzy grills.

  • Driver Distraction and Drowsiness Detection System
    Ali Massah Kiani and Amir Hassan Monadjemi, Hossein Mahvash Mohammadi, University of Isfahan, Iran

    Driver fatigue is blamed for many fatal car accidents all around the word. Many methods have been proposed for driver drowsiness detection and warning. Most driver-monitoring systems have attempted to detect either driver drowsiness or distraction, while both factors should be considered for an effective accident prevention. Therefore, we propose a new driver monitoring method considering both factors. In this study infrared and colour imaging was used to capture the front view image of the driver. Firstly, if the driver is looking ahead, drowsiness detection is performed, otherwise, distraction detection is performed. Secondly, we propose a new eye-detection algorithm that combines adaptive boosting, adaptive template matching, and a new yawn detection that combines adaptive boosting and our ellipse detection method. Both driver drowsiness and distraction were detected with accuracy rate 96%

  • Circular Local Search for Solving Unconstrained Optimization Problems
    M.A. El-Shorbagy, Menoufiya University, Egypt

    In this paper, a heuristics algorithm for solving unconstrained optimization problems (UOPs) in two dimensions is proposed. This algorithm is called as: circular local search (CLS); where it is an efficient local search. The algorithm starts with an arbitrarily chosen point in the search space. Secondly, a radius of CLS is defined around the current search point; where any point in this region is feasible. Finally, by an angle with a decay step length, CLS can move from current search point to obtain a new base point. The radius and the angle of CLS are modified during the search. CLS is tested on several benchmark problems taken from the literature. According to numerical results the proposed method show that its robustness and effectiveness.