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58 results for “traffic rate”
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Research ArticleOpen accessEvery word in the titleImproved Performance of Traffic Dependent Outage Rate Cellular SystemHussein M.A. Basi, M. B.R. MurthyThe designers of a mobile cellular system must evaluate the possible configurations of the system components and their characteristics in order to develop a system with greater efficiency. The useful parameters to estimate performances of the system are voice quality, frequency spectrum efficiency and grade of service (GOS). In this study, a scheme proposed to reduce the lost calls and … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,815 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExploring Optimal Topology and Routing Algorithm for 3D Network on ChipN. Viswanathan, K. Paramasivam, K. SomasundaramProblem statement: Network on Chip (NoC) is an appropriate candidate to implement interconnections in SoCs. Increase in number of IP blocks in 2D NoC will lead to increase in chip area, global interconnect, length of the communication channel, number of hops transversed by a packet, latency and difficulty in clock distribution. 3D NoC is evolved to overcome the drawbacks of … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 12 Jan 2012 · 7,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrating Stochastic Properties into Traffic Flow Modeling: A Stimulus-Response ApproachKonate N’Golo, Mark Kimathi, Emile DanhoHighway traffic congestion, characterized by its inherent instability, has been extensively studied using deterministic models, providing valuable insights. However, these models often overlook the stochastic nature of driver behavior, a key factor that significantly impacts traffic flow. Recognizing this, a car-following model with discretionary lane changes to analyze their effect on traffic dynamics was introduced. While the mathematical results were … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 19 Dec 2024 · 7,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenerating IoT Specific Anomaly Datasets Using Cooja Simulator (Contiki-OS) and Performance Evaluation of Deep Learning Model Coupled with Aquila OptimizerVandana Choudhary, Sarvesh Tanwar, Tanupriya ChoudhuryIn recent times, the massive expansion of the Internet of Things (IoT) has transformed various facets of everyday life and industries. The compelling cause behind the widespread adoption of IoT is the increasing availability of affordable, compact, and energy-efficient computing devices. While these devices offer significant benefits, they also raise substantial security and privacy challenges. Consequently, safeguarding IoT networks and … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 6,853 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Ensemble Framework for DDoS Attack Recognition and Mitigation in Cloud SDN EnvironmentS. Annie Christila, R. SivakumarMuch research has been done in the recent past on the absolute shift of Internet infrastructure in order to make it more significantly programmable, configurable and make it more conveniently feasible. Software Defined Networking (SDN) forms the basis for this absolute shift in Internet infrastructure. When you look at the benefits of an SDN-based cloud environment they are monumental. Namely, … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractRF-CNNS: Thin Deep Learning Networks For Accelerating Traffic Signs RecognitionBtissam Bousarhane, Driss BouzidiRoad scene analysis is a wide domain of research that aims to ameliorate the environmental perception in intelligent transportation systems, including autonomous vehicles and advanced driver-assistance systems. It also plays a crucial role in road safety improvement, by contributing to the reduction of traffic accidents' rate. Ensuring an efficient recognition of traffic signs contributes enormously to making cars safer, which … …Journal of Computer Science, Vol. 19, Issue 10 · 18 Sep 2023 · 5,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractCross-Layer Design for Combining Adaptive Modulation and Coding with DMMPP Queuing for Wireless NetworksManikandan Arunachalam, Naresh Kumar Babu, Anandan Perumal et al.Resource management and Quality of Service (QoS) are seen as key concerns for many applications in 5G networks since they support millions of linked devices. When sharing information over error-prone wireless networks, these resource management strategies are necessary to fulfill multimedia applications with a minimum throughput guarantee, low error probability, and high tolerated delay. One of the most complex traffic … …Journal of Computer Science, Vol. 19, Issue 6 · 31 May 2023 · 5,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI Drive Assist: Enhancing Road Safety through Advanced Road Sign Detection and Driver AlertsLazeen Manasia, Mufaddal Bharmal, Harshita Singhvi et al.Road accidents claim approximately 1.35 million lives annually, as highlighted by the World Health Organization, making them a leading cause of death worldwide. With this sobering statistic in mind, addressing road safety concerns through advanced AI technologies becomes increasingly imperative. This research paper highlights practical implications for both road safety enhancement and the advancement of artificial intelligence technology within the … …Journal of Computer Science, Vol. 20, Issue 8 · 1 Jun 2024 · 7,973 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point DetectionMouhammd AlkasassbehIn recent years, computer networks have become more and more advanced in terms of size, applications, complexity and level of heterogeneity. Moreover, availability and performance are important issues for end users. New types of cyber-attacks that can affect and damage network performance and availability are constantly emerging and some threats, such as Distributed Denial of Service (DDoS) attacks, can be … …Journal of Computer Science, Vol. 14, Issue 2 · 3 Jan 2018 · 8,410 accessesView PDFCite