Estimation and forecasting of machine health condition using ARMA/GARCH model
HT Pham, BS Yang - Mechanical systems and signal processing, 2010 - Elsevier
This paper proposes the hybrid model of autoregressive moving average (ARMA) and
generalized autoregressive conditional heteroscedasticity (GARCH) to estimate and forecast …
generalized autoregressive conditional heteroscedasticity (GARCH) to estimate and forecast …
Internet activity analysis through proxy log
K Bommepally, TK Glisa, JJ Prakash… - 2010 National …, 2010 - ieeexplore.ieee.org
The availability of the Internet at the click of a mouse brings with it a host of new problems.
Although the World Wide Web was first started by physicists at CERN to enable collation and …
Although the World Wide Web was first started by physicists at CERN to enable collation and …
Detection of SYN flooding attacks using generalized autoregressive conditional heteroskedasticity (GARCH) modeling technique
N Ranjan, HA Murthy… - 2010 National Conference …, 2010 - ieeexplore.ieee.org
This paper explores a fast and effective method to detect TCP SYN flooding attack. The
Generalized autoregressive conditional heteroskedastic (GARCH) model which is the most …
Generalized autoregressive conditional heteroskedastic (GARCH) model which is the most …
Imaging quality based state switch algorithm for outdoor moving robot system
H Liu, H Zhu, F Xu, H Lu - The 2010 IEEE International …, 2010 - ieeexplore.ieee.org
Vision based computation of the moving CCD camera in an outdoor environment is one of
the most difficult tasks in the computer vision (CV) research field. Currently, to implement …
the most difficult tasks in the computer vision (CV) research field. Currently, to implement …
Using AR (I) MA-GARCH models for improving the IP routing table update
W Tavernier, D Papadimitriou, D Colle… - … Congress on Ultra …, 2010 - ieeexplore.ieee.org
When an IP router updates its routing table, eg, upon failure detection, network traffic is lost
as long as the routing entries affected by the failure are not updated. In this paper, we model …
as long as the routing entries affected by the failure are not updated. In this paper, we model …
Autonomic provisioning in non-linear network traffic
A Tucholski, E Kowalczyk… - 2010 Proceedings of 19th …, 2010 - ieeexplore.ieee.org
The real data of the network traffic were analyzed to find out characteristic parameters for
autonomic provisioning. An observed strong non-linearity (bursts) leads to heteroskedastic …
autonomic provisioning. An observed strong non-linearity (bursts) leads to heteroskedastic …
Multi-scale processing for network traffic with long-range dependence based on fractional differencing
L Xuewen, S Lei - 2010 2nd International Conference on Future …, 2010 - ieeexplore.ieee.org
Network study finds simultaneous presentation of long-range dependence and short-range
dependence in Network traffic., which makes the performance of the traditional model used …
dependence in Network traffic., which makes the performance of the traditional model used …