Fluid-flow modelling of internet traffic in GSM/GPRS networks

Irnich, Tim; Stuckmann, Peter

doi:10.1016/s0140-3664(03)00048-3

Cited by 12 publications

(4 citation statements)

References 3 publications

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“…General Packet Radio Service has many advantages, such as wide scope of inputting, speedy transmission, quick inputting, calculating the cost according to the flu and free switch [6] . Therefore, the wireless transmission mode based on GPRS is designed to transmit the state monitoring data to the dissolved gases in the transformer oil for the developed transformer fault diagnosis system.…”

Section: The Fault Diagnosis System Design For Transformermentioning

confidence: 99%

Development of fault diagnosis system for transformer based on multi-class support vector machines

Cao

Suxiang

et al. 2007

SPIE Proceedings

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The support vector machine (SVM) is an algorithm based on structure risk minimizing principle and having high generalization ability. It is strong to solve the problem with small sample, nonlinear and high dimension. The fundamental theory of DGA (Dissolved Gas Analysis, DGA) and fault characteristic of transformer is firstly researched in this paper, and then the disadvantages of traditional method of transformer fault diagnosis are analyzed, finally, a new fault diagnosis method using multi-class support vector machines (M-SVMs) based on DGA theory for transformer is put forward. Then the fault diagnosis model based on M-SVMs for transformer is established. At the same time, the fault diagnosis system based on M-SVMs for transformer is developed. The system can realize the acquisition of the dissolving gas in the transformer oil and data timely and low cost transmission by GPRS (General Packet Radio Service, GPRS). And it can identify out the transformer running state according to the acquisition data. The test results show that the method proposed has an excellent performance on correct ratio. And it can overcome the disadvantage of the traditional three-ratio method which lacks of fault coding and no fault types in the existent coding. Combining the wireless communication technology with the monitoring technology, the designed and developed system can greatly improve the real-time and continuity for the transformer' condition monitoring and fault diagnosis.

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Section: The Fault Diagnosis System Design For Transformermentioning

confidence: 99%

Development of fault diagnosis system for transformer based on multi-class support vector machines

Cao

Suxiang

et al. 2007

SPIE Proceedings

View full text Add to dashboard Cite

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“…These models can be regrouped into many classes depending on the mathematical tools used. The most common models used are autoregressive models [1], [2], [3], Transform-Expand-Sample (TES) models [4], [5], [6], discrete Markovian models [7], [8], [9] which include also Markovian fluid models [10], [11], [12]. Models use also self-similar techniques [13], [14], scene-detection models [15], [16], [17], etc.…”

Section: Introductionmentioning

confidence: 99%

“…In [23], for instance, the impact of scene durations on loss rates in buffers is studied. In [11], a fluid model is used to give performance information of Internet traffic over GPRS networks. In [24], a simulation-based link sizing technique is given and applied for multimedia IP networks.…”

Section: Introductionmentioning

confidence: 99%

GoP-based fluid Markovian modelling of video traffic

Abbessi

Nabli

2010

The Second International Conference on Communications and Networking

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The constant evolution of video standards and technologies and the important growth of the amount of video data in networks leads to a need to build new models for video sources. In this paper, we specify a Markovian fluid model based on GoPs (Group of Pictures) that creates a video source descriptor. This descriptor can be used to compute the loss rate observed when transmitting the video via the network. We show also how to build an artificial video traffic having the same statistical characteristics of the original source.

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“…Besides, the water quality information is difficult to reflect water situation on time, unable to discover the water pollution case suddenly happen, which can not fulfill requirements of high level information management. Based on current fast growing high-tech, electronic technology, communication technology and computer technology [1,2] ; they provide strong support for the water resource management modernization. This paper has taken it into account the demand of realizing water quality efficiently monitoring in the wider and more complex regions [3,4,5] .…”

Section: Introductionmentioning

confidence: 99%

Wireless Monitoring and Assessment System of Water Quality Based on GPRS

Cao

Suxiang

et al. 2007

2007 8th International Conference on Electronic Measurement and Instruments

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Based on the knowledge about today's systems of water quality auto-monitoring and manag at home and abroad, a wireless monitoring system of water quality based on GPRS has been designed in this paper. the model for water quality state recognition is established by BP neutral network based on water monitoring data. The software for wireless monitoring and assessment system of water quality is developed by using C++ Builder language and Matlab. The database is developed by using Microsoft SQL Server 2000.The experimental results show that the developed system which combines the wireless communication technology with the monitoring technology can greatly improve the real-time and continuity for the water quality state monitoring.

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Fluid-flow modelling of internet traffic in GSM/GPRS networks

Cited by 12 publications

References 3 publications

Development of fault diagnosis system for transformer based on multi-class support vector machines

Development of fault diagnosis system for transformer based on multi-class support vector machines

GoP-based fluid Markovian modelling of video traffic

Wireless Monitoring and Assessment System of Water Quality Based on GPRS

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