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35 results for “active networks”
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Research ArticleOpen accessIn the abstractBioaccumulation of Cr(III) ions by Blue Green-alga Spirulina sp. Part II. Mathematical ModelingKatarzyna Chojnacka, Piotr M. WojciechowskiIn the present paper bioaccumulation of Cr(III) ions by blue-green algae Spirulina sp. is discussed. We found that the process consisted of two stages: passive in which Cr(III) ions are bound to the surface of cells, identical with biosorption and active, metabolism-dependent, in which Cr(III) ions are transported into the cellular interior. The passive stage occurs in both living and … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 4 · 31 Dec 2007 · 8,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of a High-Performance IP Switching ArchitectureHattab Guesmi, Belgacem Bouallegue, Ridha Djemal, Rached TourkiIn this study we present the architecture for use in high-performance switching networks with support quality of service (QoS) guarantees. Quality of services guarantees in terms of delay, through-put and loss rate can be provided by using mechanism's support like scheduling and buffer management at switching architecture in packet switching networks. Our architecture is based on a new data structure … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,811 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 · 6,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial 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 abstractSolving Multi-Objective Master Production Scheduling Model of Kalak Refinery System Using Hybrid Evolutionary Imperialist Competitive AlgorithmShereen Saleem Sadiq, Adnan Mohsin Abdulazeez, Habibollah HaronThe improvement of operational planning in the field of oil refinery management is becoming increasingly essential and valid. The influential primary factor, among others, is the ever-changing economic climate. The industry must continually assess the potential impacts of variations in the final product demand, price fluctuations, crude oil compositions and even seek out immediate opportunities within the market. The Master … …Journal of Computer Science, Vol. 16, Issue 2 · 12 Feb 2020 · 7,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Dynamics of Channel Pattern Changing Trends at Arial Khan River (1977-2018), BangladeshRathindra Nath Biswas, Md. Juel Mia, M. Nazrul IslamArial Khan River is right bank distributary of Ganges-Padma River systems flowing southwest region of Bangladesh. It is morphologically very dynamic meandering river: where the delta-building process is more active than other distributaries of Ganges-Brahmaputra-Meghna (GBM) River basin. This study analyzes, morphological variables- channel length, valley length, channel area and channel patterns of Arial Khan River. A major portion of … …Current Research in Geoscience, Vol. 8, Issue 1 · 16 Nov 2018 · 9,800 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Informetric Analysis of Studies on Influenza Vaccines and VaccinationVadim Nikolaevich Gureyev, Nikolay Alekseevich Mazov, Tatyana Nikolaevna Ilyicheva, Sergei Ivanovich BazhanInfluenza is one of highly contagious acute virus diseases that primarily affects respiratory ways. Annual seasonal epidemics afflict approximately 15% population worldwide and lead to 250,000–500,000 deaths each year. That is why studies on influenza vaccines and vaccination that prevent spreading of the virus remain highly important. This paper presents the results of informetric analysis of publications on influenza vaccine … …OnLine Journal of Biological Sciences, Vol. 17, Issue 4 · 13 Dec 2017 · 7,274 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Analysis and Overview of Modern Digital WatermarkingY. Arockia Raj, P. AlliProblem statement: The major growth of information technology is based on the growth of computer networks. The computer network diminished the entire global in a nutshell, via the internet and the intranet capabilities. Approach: In the recent year, communicating information within authenticated groups in the text, image and video formats are highly unavoidable one. And in the same manner, there … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 5 Nov 2011 · 7,718 accessesView PDFCite
Research ArticleOpen accessIn the abstractPower System Oscillations Damping Using Unified Power Flow Controller-Based StabilizerLokman H. Hassan, M. Moghavvemi, Haider A.F. MohamedProblem statement: The Phillips-Heffron model of a power system with UPFC published by AJAS, demonstrates the effect of the UPFC in improving power system oscillation stability. Unfortunately, some of the equations have not been correctly derived and so working with this model in its existing form is misleading. Approach: In this study, the model is revisited and the equations are … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,936 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite