نتایج جستجو برای: congestion detection

تعداد نتایج: 587977  

Journal: :International Journal of Computer Communication and Informatics 2021

A new approach is proposed to analyze the live crowd and provide an alert at time of congestion, over-crowding sudden gathering pedestrians in a particular region. This paper proposes completely software-oriented using MATLAB where it uses object detection tracking Faster R- CNN (Region Based Convolutional Neural Network) algorithm inception model Google used as which pre-trained. method gives ...

2006
Hyun Joo Kim Jung C. Na Jong S. Jang

Recent attack targets on a public network as well as an enterprise/edge network or system because the damage of the public network-attack is far stronger than an enterprise network or systems-attack and the speed of its propagation is far faster. Theses attacks typically cause not only traffic congestion but also network failure exhausting network bandwidth, router processing capacity using the...

Journal: :IEEE Trans. Multimedia 2001
Haitao Zheng Jill M. Boyce

Packet video will become a significant portion of emerging and future wireless/Internet traffic. However, network congestion and wireless channel error yields tremendous packet loss and degraded video quality. In this paper, we propose a new complete user datagram protocol (CUDP), which utilizes channel error information obtained from the physical and link layers to assist error recovery at the...

Journal: :IAES International Journal of Artificial Intelligence 2022

<span lang="EN-US">Microblogging is a form of communication between users to socialize by describing the state events in real-time. Twitter platform for microblogging. Indonesia one countries with largest users, people can share information about traffic jams. This research aims detect jams extracting tweets vectors and then inserting them into Convolution neural network (CNN) model getti...

Journal: :Transportation Research Part C-emerging Technologies 2021

Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of service transportation network. With increasing access to larger datasets higher resolution, relevance deep learning for such tasks is increasing. Several comprehensive survey papers in recent years have summarised applications domain. However, system dynamics network vary greatly between non-conges...

2007
Haris Volos

The paper presents an active queue management technique of preventing congestion in packet-switch networks called Random Early Detection (RED) gateways. RED is based on the observation that congestion can most accurately be understood at the gateway, since it can distinguish high propagation delay from high delay brought on by increasing queue lengths. Therefore, they suggest that congestion de...

Journal: :The International Conference on Electrical Engineering 2016

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