An Advance Approach to Evaluate the Performance of the TCP Networks

Emary, Ibrahiem M. M. El; Taweel, Farouq Al

doi:10.3844/ajassp.2005.1375.1379

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…AGRED algorithm consists of two separate algorithms same as RED algorithm (El Emary and Taweel, 2005). The first algorithm is for calculating the Average Queue Length (AQL) and it determines the degree of burstiness that will be allowed in the gateway queue.…”

Section: Agredmentioning

confidence: 99%

An Event Driven Simulation for Adaptive Gentle Random Early Detection (Agred) Algorithm

Seifaddini¹,

Abdullah²,

Subramaniam³

2014

Journal of Computer Science

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Simulations are used to find optimum answers for problems in wide areas. Active queue management algorithms such as RED, GRED, typically use simulators like ns2 which is an open source simulator or OPNET, OMNET which are commercial simulators. However, beside the benefits of using simulators like having defined modules, parameters. There are problems such as complexity, large integrated components and licensing cost. To have an ideal balance in mentioned benefits and problems and to further complement the repository of simulators, this study presents the description of a general-purpose programming language based discrete event simulation for active queue management. This research has focused at developing a discrete event simulator to implement one of active queue management algorithms which is called AGRED. The results showed that the developed simulator has successfully produced the same results with an average deviation of 1.5% as previous simulator in AGRED.

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Section: Agredmentioning

confidence: 99%

An Event Driven Simulation for Adaptive Gentle Random Early Detection (Agred) Algorithm

Seifaddini¹,

Abdullah²,

Subramaniam³

2014

Journal of Computer Science

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Implementation and Evaluation of Evolutionary Connectionist Approaches to Automated Text Summarization

Prasad¹,

Kulkarni²

2010

Journal of Computer Science

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Problem statement:Text summarization takes care of choosing the most significant portions of text and generates coherent summaries that express the main intent of the given document. This study aims to compare the performances of the three text summarization systems developed by the authors with some of the existing Summarization systems available. These three approaches to text summarization are based on semantic nets, fuzzy logic and evolutionary programming respectively. All the three represent approaches to achieve connectionism. Approach: First approach performs Part of Speech (POS) tagging, semantic and pragmatic analysis and cohesion. The second system under discussion was a new extraction based automated system for text summarization using a decision module that employs fuzzy concepts. Third system under consideration was based on a combination of evolutionary, fuzzy and connectionist techniques. Results: Semantic net approach performs better than the MS Word summarizer as far as the semantics of the original text was concerned. To compare our summaries with those of the well known MS Word, Intellexer and Copernic summarizers, we use DUC's human generated summaries as the bench-mark. The results were very encouraging. The second approach based on fuzzy logic results in an efficient system since fuzzy logic mimics decision making of humans. Third system showed promising results as far as precision and F-measure are concerned than all the other approaches. Conclusion: Our first approach used WordNet, a lexical database for English. Unlike other dictionaries, WordNet does not include information about etymology, pronunciation and the forms of irregular verbs and contains only limited information about usage. To overcome this limitation, we developed a new text summarizer based on fuzzy logic. As Text summarization application requires learning ability based on activation, we utilize ANN attribute through a connectionist model to achieve the best results.

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An Advance Approach to Evaluate the Performance of the TCP Networks

Cited by 2 publications

References 3 publications

An Event Driven Simulation for Adaptive Gentle Random Early Detection (Agred) Algorithm

An Event Driven Simulation for Adaptive Gentle Random Early Detection (Agred) Algorithm

Implementation and Evaluation of Evolutionary Connectionist Approaches to Automated Text Summarization

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