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56 results for “successfully implemented”
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Research ArticleOpen accessIn the abstractReal Time Object Tracking and Protection: Hybrid Logistics Architecture in Ubiquitous Environments (HLAiUE)Abdul Jawwad Patel, Abeer Alsadoon, P.W.C. Prasad, A. ElchouemiRealtime object security and vehicle tracking have not been successfully implemented in commercial vehicles due to limitations in processing large amount of data and hardware capabilities. This paper aimed to improve the object security, processing power and data storage in a distributed environment. The proposed system (HLAiUE) consists of a three-layer architecture, first layer is used to collect data, second … …American Journal of Applied Sciences, Vol. 15, Issue 8 · 17 Oct 2018 · 7,520 accessesView PDFCite
Review ArticleOpen accessIn the abstractUnmanned HelicoptersRelly Victoria Petrescu, Raffaella Aversa, Bilal Akash et al.Airbus, the European aerospace giant is working on the transport solutions that will be used in the cities of the future. In their research laboratories, technicians are working on the creation of a network of flying and 100% autonomous vehicles. An innovation that could well contribute to preparing the transport of cities of the future. One of the most famous … …Journal of Aircraft and Spacecraft Technology, Vol. 1, Issue 4 · 7 Nov 2017 · 9,186 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Routing Optimization Based on Cross-Layer Design for Wireless Multimedia Sensor Networks (WMSNs)Emansa Hasri Putra, Risanuri Hidayat, Widyawan, Wayan MustikaMultimedia applications are routed from source nodes via neighboring nodes to a sink in Wireless Multimedia Sensor Networks (WMSNs). However, the existing routing protocols in the WMSNs do not fulfill the quality of service (QoS) constraint yet for multimedia transmission. The WMSNs have specific characteristics such as multi-hop way, limited node capability and varying bandwidth, which can affect the quality … …Journal of Computer Science, Vol. 13, Issue 10 · 31 Oct 2017 · 7,396 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelation Based Approach with a Sliding Window Model to Detect and Mitigate Ddos AttacksD. Ayyamuthukumar, S. KarthikDDoS attacks have become very popular since the turn of this millennium and has stayed in the headlines due to ever increasing and sometimes devastating attacks on popular web servers. In this study, we deal with DDoS attacks by proposing a correlation based approach with a sliding window model to detect and mitigate DDoS attack. The proposed scheme identifies malicious … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,745 accessesView PDFCite
Research ArticleOpen accessIn the abstractOSCILLATORY SYNTHETIC BIOLOGICAL SYSTEM CONSTRUCTION USING INTERACTIVE EVOLUTIONARY COMPUTATIONSQuang Huy Dinh, Nasimul Noman, Hitoshi IbaIn this study, we propose an Interactive Evolutionary Computation system to design gene networks for synthetic biology, of which the objective is to construct new organisms through the artificial synthesis of gene networks. Wet laboratories typically design gene networks through trial and error methods, which makes the construction of complex networks difficult. As a solution, automation can significantly improve the … …Journal of Computer Science, Vol. 10, Issue 12 · 14 Jan 2015 · 8,476 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HYBRID FIREFLY ALGORITHM WITH FUZZY-C MEAN ALGORITHM FOR MRI BRAIN SEGMENTATIONMutasem K. AlsmadiImage processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 10 Sep 2014 · 8,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractSTUDY OF DYNAMIC MECHANICAL PROPERTIES OF FUSED DEPOSITION MODELLING PROCESSED ULTEM MATERIALAdhiyamaan Arivazhagan, Ammar Saleem, S. H. Masood et al.Fused Deposition Modelling (FDM), a renowned Rapid Prototyping (RP) process, has been successfully implemented in several industries to fabricate concept models and prototypes for rapid manufacturing. This study furnishes terse notes about the material damping properties of FDM made ULTEM samples considering the effect of FDM process parameters. Dynamic Mechanical Analysis (DMA) is carried out using DMA 2980 equipment to … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 3 · 19 Aug 2014 · 8,642 accessesView PDFCite
Research ArticleOpen accessIn the abstractINTRUSION DETECTION SYSTEM IN SECURE SHELL TRAFFIC IN CLOUD ENVIRONMENTMehdi Barati, Azizol Abdullah, NurIzura Udzir et al.Due to growth of Cloud computing usage, the need to apply encrypted protocols to provide confidentiality and integrity of data increases dramatically. Attacker can take advantage of these protocols to hide the intrusion and evade detection. Many traditional attack detection techniques have been proposed to provide security in the networks but none of them can be implemented properly in encrypted … …Journal of Computer Science, Vol. 10, Issue 10 · 26 Jun 2014 · 7,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETECTION OF FLOOD ATTACKS IN DTN USING RATE LIMITER TECHNIQUEC. Balamurugan, M. Viswanathan, T. Abhishek Kumar, G. S. RajFlood attacks means a network becomes so weighed down with packets, caused by the attackers. It prevents packets being sent/received between the nodes in the network. There are many methods adopted to prevent flood attacks in other networks, but none has been installed successfully for DTN’s. Disruption tolerant network is a network, developed in such a manner that intermittent communication … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 6,980 accessesView PDFCite
Research ArticleOpen accessIn the abstractHALF OF THRESHOLD ALGORITHM: AN ENHANCED LINEAR ADAPTIVE SKIPPING TRAINING ALGORITHM OR MULTILAYER FEEDFORWARD NEURAL NETWORKSManjula Devi Ramasamy, Kuppuswami Subbaraya GounderMultilayer Feed Forward Neural Network (MFNN) has been successfully administered architectures for solving a wide range of supervised pattern recognition tasks. The most problematic task of MFNN is training phase which consumes very long training time on very huge training datasets. An enhanced linear adaptive skipping training algorithm for MFNN called Half of Threshold (HOT) is proposed in this research … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 22 Nov 2013 · 7,016 accessesView PDFCite