16 articles for “traffic prediction”

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Research ArticleOpen accessIn the abstractEnvironmental Modeling for Traffic Noise in Urban AreaFrancis Cirianni, Giovanni LeonardiTraffic noise can be classified among the worst factors in terms of damage to people’s health and well-being. The trend of noise pollution modeling variable from the smart result of classic regressive models in the performance of many assessment models based on mathematical expressions, genetic algorithms and neural networks (of GRNN type, General Regression Neural Network). A methodological approach for … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 18 Jun 2012 · 7,438 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImage Compression using Space Adaptive Lifting SchemeRamu Satyabama, AnnaduraiProblem statement: Digital images play an important role both in daily life applications as well as in areas of research and technology. Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. Approach: Wavelet transform has demonstrated excellent image compression performance. New algorithms based on Lifting style implementation … …Journal of Computer Science, Vol. 7, Issue 11 · 29 Aug 2011 · 7,143 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEfficient Detection and Mitigation of Rushing Attacks in VANETs Using RAID: A Novel Intrusion Detection SystemVamshi Krishna Kapu, Ganesh Reddy KarriThe vehicle manufacturing hub has evolved over the last decade with the emergence of self-driving vehicles and human-driven vehicles that use the concept of Artificial Intelligence (AI). Vehicular Ad Hoc Network (VANET) is a subset of Mobile Ad Hoc Network (MANET) that allows vehicles to communicate with one another and the Road Side Unit (RSU). VANET has been a game … …Journal of Computer Science, Vol. 19, Issue 9 · 26 Aug 2023 · 5,746 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordPredicting Packet Transmission Data over IP Networks Using Adaptive Neuro-Fuzzy Inference SystemsSamira Chabaa, Abdelouhab ZeroualProblem statement: The statistical modeling for predicting network traffic has now become a major tool used for network and is of significant interest in many domains: Adaptive application, congestion and admission control, wireless, network management and network anomalies. To comprehend the properties of IP-network traffic and system conditions, many kinds of reports based on measured network traffic data have been … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,533 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordBitrate Scalability for Multi-Pulse Based Code Excited Linear Prediction Speech CoderSuphattharachai Chomphan, Chutarat ChompunthProblem statement: The bitrate scalability is an important functionality that is defined in the Moving Picture Expert Group (MPEG-4) requirements. Since the traffic in a communication network varies with time, the capability of varying the bitrate of a speech coder is needed. Approach: This study proposes an approach to vary the bitrate by using a bitrate scalable tool which is … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 14 Jan 2012 · 7,035 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordPrediction of Permanent Deformation of Pavement's Unbounded Layers Based on Cyclic Triaxial TestsB. ŽlenderThis research presents an analytical model for determining permanent deformation of pavement's sub-grade and unbound granular base and sub-base material due to cyclic traffic loading. The model is given for interpreting results of repeated load triaxial tests. It considers long term elastoplastic behavior and resilient behavior of sub-grade and unbound granular material. Permanent deformations are expressed as a function of … …American Journal of Applied Sciences, Vol. 5, Issue 1 · 31 Jan 2008 · 7,123 accessesView PDF Cite