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108 results for “Random Network”
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Research ArticleOpen accessIn the abstractProtection for an Immediate Split Structure of Tree-Based EPON Architecture-Ideal Condition AnalysisMohammad Syuhaimi Ab-Rahman, Siti Asma Che Aziz, Kasmiran JumariProblem statement: Ethernet Passive Optical Network (EPON) was proposed to overcome the bandwidth bottleneck at the Access Networks due to its simplicity, cost effective and wide spread deployment. A failure in access networks can cause serious problems, because access network transmit aggregated high speed traffic from hundreds of subscribers. Protection and restoration mechanisms have been applied in backbone networks, but … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 8,280 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Comparison of Active Queue Management TechniquesT. B. Reddy, A. AhammedCongestion is an important issue which researchers focus on in the Transmission Control Protocol (TCP) network environment. To keep the stability of the whole network, congestion control algorithms have been extensively studied. Queue management method employed by the routers is one of the important issues in the congestion control study. Active Queue Management (AQM) has been proposed as a router-based … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,201 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Pulsewidth Analysis in the Presence of PMD and PDL in Optical Fibers Using Neural Network AlgorithmA. Sivasubramanian, V. C. RavichandranIn long haul networks, the random birefringence induced in the optical fiber leads to a considerable Polarization Mode Dispersion (PMD). Polarization Dependent Loss (PDL) mainly occurs in optical components and depends on the state of polarization of optical signals. The presence of PMD and PDL causes pulsewidth narrowing and the pulsewidth reduction depends on states of polarization at which the … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,055 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Advance Approach to Evaluate the Performance of the TCP NetworksIbrahiem M.M. El Emary, Farouq Al TaweelIn this study, we present a new approach for estimating the performance of the TCP network depending on a mathematical formula which converts the conceptual performance parameter to a valuable one. With respect to TCP network performance, we consider the Random Early Detection (RED) and RED-Based algorithms where both RED and RED-Based follow the Active Queue Management (AQM) approach in … …American Journal of Applied Sciences, Vol. 2, Issue 9 · 30 Sep 2005 · 6,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractEFFECTIVE BLACK HOLE ATTACKS IN MANETSRaja Azlina Raja Mahmood, Zurina Mohd Hanapi, Sazlinah Hasan, AsadIqbal KhanBlack hole or packet drop attack is a denial of service attack on routing protocols in which malicious nodes fabricate routing information, attract packets routed through them and then deliberately drop these packets. Most of the black hole attack simulations are performed by constantly fabricating routing information and thus consistently attracting packets to them, which can be easily detected by … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of Improved Directed Diffusion Protocol for Sensor Networks under Different Mobility ModelsK. E. Kannammal, T. PurusothamanProblem statement: In sensor networks, some routing protocols performance differs under different mobility models. In ns2, there are two kinds of directed diffusion protocols, rate based gradient mechanism (diffusion/rate) and probability based gradient mechanism (diffusion/prob). In this research, we proposed a method to improve the performance of Directed diffusion/prob protocol by adding a new interest message propagation mechanism and analyzed … …Journal of Computer Science, Vol. 8, Issue 5 · 25 Feb 2012 · 6,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractOR-Bridging Fault Identification and Diagnosis for Exclusive-OR Sum of Products Reed-Muller Canonical CircuitsV. Geetha, N. Devarajan, P. N. NeelakantanProblem statement: The faults in digital circuit can be classified broadly as single stuck-atfaults, multiple stuck-ay-faults, stuck-open faults, stuck-on faults, path delay faults, transient faults. Extensive research had been carried out in the field of testing of digital circuits to limit the number of input vectors. The cardinality of the test vectors proposed by many authors was quite high for … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study of Mobility Models for Wireless Sensor NetworksAnas Abu TalebWireless sensor networks consist of hundreds or thousands of small, lightweight and low-powered sensor nodes that are deployed in the area of interest to collect information in an unattended manner. Since sensor nodes have limited battery, many research papers proposed techniques to enhance the performance and lifetime of wireless sensor networks. Using energy rich mobile sink to collect data from … …Journal of Computer Science, Vol. 14, Issue 10 · 10 Oct 2018 · 8,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Smote and CSSF Techniques for Diabetes Classification Using Imbalanced DataBashar Hamad Aubaidan, Rabiah Abdul Kadir, Mohamad Taha IjabDiabetes, a prevalent chronic metabolic disorder, poses a significant burden on healthcare systems worldwide. Accurate and timely diagnosis is crucial for effective management and complication prevention. Machine learning presents a promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases. To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), a … …Journal of Computer Science, Vol. 20, Issue 9 · 22 Jul 2024 · 5,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractPhonocardiogram Classification Based on Machine Learning with Multiple Sound FeaturesKhalid M.O. Nahar, Obaida M. Al-Hazaimeh, Ashraf Abu-Ein, Nasr GharaibehIn this study the heartbeat sound signals were tackled by classifying them into heart disease categories such as normal, artifact, murmur and extrahals in an attempt for early detection of heart defects. Phonocardiogram (i.e., PCG) is used to obtain the digital recording dataset of the heart sounds using an electronic stethoscope or mobile device. Multiple features are extracted from the … …Journal of Computer Science, Vol. 16, Issue 11 · 26 Nov 2020 · 8,263 accessesView PDFCite