In this paper, a novel nature inspired algorithm for continuous optimization of numerical functions has been proposed. The algorithm is inspired from the circular wave created from a water drop when it falls to a still water. Algorithm itself has been developed with the purpose of distributed working thus kept as embarrassingly parallel as possible. Proposed algorithm is tested with eight different benchmark functions and up to thirty dimensions. The experimental results are promising and encouraging for further research studies.
IntroductionIn this study, a survey was prepared for urologists that asked about their primary choice of treatment for urolithiasis in daily practice and their answers were evaluated.MethodsThe survey was prepared on the Google Docs website and it was sent to 1,016 urologists via email with 752 confirmed deliveries. In addition to the demographic questions about each participant’s age, gender, and institution, the survey presented case scenarios focusing on their preferred treatment modalities for distal ureteric, proximal ureteric, and renal calculi. The participating urologists were divided into two groups according to the frequency that they treat urolithiasis patients.ResultsOf the 752 surveys delivered, 211 urologists (28.05%) responded and 204 answered all questions. According to the results, there were no significant differences between the treatment approaches and the other localizations, but there was a statistically significant difference for treatment approaches to lower pole stones between two groups. In response to the question of which stone treatment method was used less frequently, 124 (60.7%) participants answered that they used shock wave lithotripsy less in the last 10 years.ConclusionThe present study has shown that while the management of renal and ureteric calculi by Turkish urologists is highly varied, the overall treatment patterns are in accordance with the European Association of Urology guidelines. However, similar to the global trend extracorporeal shock wave lithotripsy is less preferred by Turkish urologists.
In this paper, a novel nature inspired algorithm for continuous optimization of numerical functions has been proposed. The algorithm is inspired from the circular wave created from a water drop when it falls to a still water. Algorithm itself has been developed with the purpose of distributed working thus kept as embarrassingly parallel as possible. Proposed algorithm is tested with eight different benchmark functions and up to thirty dimensions. The experimental results are promising and encouraging for further research studies.
Eye detection algorithms are being used in many fields such as camera applications for entertainment and commercial purposes, gaze detection applications, computer-human interaction applications, and eye recognition applications for security, etc. Successful and fast eye detection is an essential step for all these applications in order to achieve good results. There are many eye detection methods in the literature, and most of them rely on the Viola-Jones method to detect the face before localizing eyes. In this paper, a straightforward approach to detect eyes from images which contain a frontal face is proposed. The approach can be used for real-time eye detection using cheap web cameras or other cameras. First, face landmarks are detected from the image, and by utilizing these landmarks; the eye region is determined. The eye radius is estimated by utilizing eye corners. Then, reduced input images are tested with a tailored matching algorithm which does not need image reduction to determine where the eye is.
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