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64 results for “Active Network”
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Research ArticleOpen accessPhrase in the titleThe use of Random Forest Classification and K-means Clustering Algorithm for Detecting Time Stamped Signatures in the Active NetworksKamalanaban Ethala, R. Shesadri, N. G. RenganathanIn day to day information security infrastructure, intrusion detection is indispensible. Signature based intrusion detection system mechanisms are often available in detecting many types of attacks. But this mechanism alone is not sufficient in many cases. Another intrusion detection method viz K-means is employed for clustering and classifying the unlabelled data. IDS is a special embedded device or relied software … …Journal of Computer Science, Vol. 9, Issue 7 · 18 Jun 2013 · 7,496 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAccurate Wavelet Neural Network for Efficient Controlling of an Active Magnetic Bearing SystemYoussef Harkouss, Souhad Mcheik, Roger AchkarProblem statement: The synthesis of a command by the neural network has an excellent advantage over the classical one such as PID. This study presented a fast and accurate Wavelet Neural Network (WNN) approach for efficient controlling of an Active Magnetic Bearing (AMB) system. Approach: The proposed approach combined neural network with the wavelet theory. Wavelet theory may be exploited … …Journal of Computer Science, Vol. 6, Issue 12 · 9 Nov 2010 · 15,569 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePro-Active Prevention of Clone Node Attacks in Wireless Sensor NetworksK. M. Anandkumar, C. JayakumarProblem statement: Wireless mobile sensor networks are deploying large, self-organized and adaptable sets of sensors for many applications such as military, environmental, health care, remote monitoring and other applications. Unfortunately, the simplicity and low-cost of these sensors make eases cloning of compromised nodes by attackers in the network. Due to the unattended nature of wireless sensor networks, an adversary can … …Journal of Computer Science, Vol. 8, Issue 10 · 28 Aug 2012 · 7,072 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGradient Descent Learning for Utility Current Compensation using Active Regenerative PWM FilterR. Balamurugan, G. GurusamyProblem statement: Harmonic analysis is a primary matter of power quality assessment. Its main intention is to check the utility whether it is delivering the loads without any deviations in voltages and currents. The problem is due to proliferation of Electronic converters and power electronics which gave birth to numerous new applications, offering unmatched comfort to the customers. Approach: Harmonics … …Journal of Computer Science, Vol. 7, Issue 12 · 14 Oct 2011 · 6,545 accessesView PDFCite
Research ArticleOpen accessIn the keywordsVarying Overhead Ad Hoc on Demand Vector Routing in Highly Mobile Ad Hoc NetworkV. Balaji, V. DuraisamyProblem statement: An inherent feature of mobile ad hoc networks is the frequent change of network topology leading to stability and reliability problems of the network. Highly dynamic and dense network have to maintain acceptable level of service to data packets and limit the network control overheads. This capability is closely related as how quickly the network protocol control overhead … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,997 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIncorporating Multiple Sources into AMTree ProtocolAli M. Al-Sharafi, Mohamed Othman, Md. N. Sulaiman, Shamala SubramaniamAMTree protocol is an active network based protocol that makes sending packets to receivers-after source migration-an efficient process. AMTree protocol was designed and tested for one mobile source sending to the multicast group. In this research we introduce a method that allows more than one mobile source to send to the multicast session. The results show that end-to-end latencies are … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,870 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArtificial Neural System for Packet FilteringM. I. Buhari, M. H. Habaebi, B. M. AliIn this study, we analyzed the use of neural network for packet filtering. The neural network system was designed in eight ways with input to the neural network in the form of either access rules or optimized access rules or binary form of access rules or representing wildcards as 0 and 255, or combination of them. These trained neural networks … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,992 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCongestion Free Routing in Adhoc NetworksT. Senthil Kumaran, V. SankaranarayananProblem statement: A Mobile Ad-Hoc Network (MANET) is a temporary network; the mobile devices in an ad-hoc network are communicating through wireless links without any pre-existing infrastructure. The one major problem of this network is network congestion, it may take place at any intermediate nodes when data packets are traveling from source to destination. The major problems of congestion or … …Journal of Computer Science, Vol. 8, Issue 6 · 4 Apr 2012 · 7,236 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Distributed Coverage and Target Tracking Algorithm for Wireless Sensor NetworksM. Senthamilselvi, N. DevarajanProblem statement: Due to communication, processing and energy constraints, tracking in sensor networks creates different challenges. Since existing algorithms utilized the information from all the sensors for tracking, it results in higher expenditure of energy and reduced lifetime for the network. Approach: We propose to develop a distributed coverage and target tracking algorithm for wireless sensor networks. Tracking issue is … …Journal of Computer Science, Vol. 8, Issue 3 · 6 Jan 2012 · 6,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDFCite