Neural Network Tools for Alarm Generation in the Telephone Network Traffic Management
نویسندگان
چکیده
Real-time network traffic management is becoming more and more crucial in Telecommunications. In this paper, we propose a modular system based on neural networks, designed to help the operator for performing diagnosis at different levels of the network. In particular, we focus on local alarm generation at the secondary transit centres of a telephone network. We finally consider some future extensions to this system for producing intelligent alarms and performing a global diagnosis.
منابع مشابه
Traffic Signal Prediction Using Elman Neural Network and Particle Swarm Optimization
Prediction of traffic is very crucial for its management. Because of human involvement in the generation of this phenomenon, traffic signal is normally accompanied by noise and high levels of non-stationarity. Therefore, traffic signal prediction as one of the important subjects of study has attracted researchers’ interests. In this study, a combinatorial approach is proposed for traffic signal...
متن کاملUsing Artificial Neural Network to Destroy the Process of Traffic Accident Victims in Yazd Province
Background: Road accidents are among the most important causes of death and severe personal and financial injuries. Also, its profound social, cultural, and economic effects threaten human societies. This study aimed to estimate the trend of traffic accident victims in Yazd Province, Iran, to predict the number of traffic accident victims in this province. Materials and Methods: Based on traff...
متن کاملNeural Network Based Protection of Software Defined Network Controller against Distributed Denial of Service Attacks
Software Defined Network (SDN) is a new architecture for network management and its main concept is centralizing network management in the network control level that has an overview of the network and determines the forwarding rules for switches and routers (the data level). Although this centralized control is the main advantage of SDN, it is also a single point of failure. If this main contro...
متن کاملAn Advanced Hybrid Honeypot for Providing Effective Resistance in Automatic Network Generation
Increasing usage of Internet and computer networks by individuals and organizations and also attackers’ usage of new methods and tools in an attempt to endanger network security, have led to the emergence of a wide range of threats to networks. A honeypot is one of the basic techniques employed for network security improvement. It is basically designed to be attacked so as to get the attackers’...
متن کاملPrediction of Driver’s Accelerating Behavior in the Stop and Go Maneuvers Using Genetic Algorithm-Artificial Neural Network Hybrid Intelligence
Research on vehicle longitudinal control with a stop and go system is presently one of the most important topics in the field of intelligent transportation systems. The purpose of stop and go systems is to assist drivers for repeatedly accelerate and stop their vehicles in traffic jams. This system can improve the driving comfort, safety and reduce the danger of collisions and fuel consumption....
متن کامل