2 results
Search Results
Now showing 1 - 2 of 2
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: 64Performance Analysis of Ad-Hoc Networks Under Black Hole Attacks(Institute of Electrical and Electronics Engineers Inc., 2007) Dokurer,S.; Erten,Y.M.; Acar,C.E.A wireless ad-hoc network is a temporary network set up by wireless nodes usually moving randomly and communicating without a network infrastructure. Due to security vulnerabilities of the routing protocols, however, wireless ad-hoc networks may be unprotected against attacks by the malicious nodes. In this study we investigated the effects of Black Hole attacks on the network performance. We simulated black hole attacks in Network Simulator 2 (ns-2) and measured the packet loss in the network with and without a black hole. We also proposed a simple solution against black hole attacks. Our solution improved the network performance in the presence of a black hole by about 19%. © 2007 IEEE.
