Backup utilities for the Windows environment are designed to work with the NTFS file format, but they typically provide only partial compatibility with Alternate Data Streams (ADSs). In particular, computer forensics tools are typically capable of discovering ADSs in the file system under investigation, but not necessarily in the backups of such file systems. We examined a number of commonly us...

An on-line backup function for X-NAS, a clustered NAS system designed for entry-level NAS, has been developed. The on-line backup function can replicate file objects on XNAS to a remote NAS in real-time. It makes use of the virtualized global file system of X-NAS, and sends NFS write operations to both X-NAS and the remote backup NAS at the same time. The performance of the on-line backup funct...

For some real-time applications, it is necessary to provide a fast switch over to the backup connection whenever the primary connection fails. With the increase in reliability of network links, it is more cost effective if the backup resources are shared among a number of connections. However, the sharing of backup resources must be controlled to ensure the users of high availability of the bac...

In the paper,wavelet-based adaptive support vector machine is applied to stock exchange index prediction,and Morlet wavelet function can be used as kernel function of adaptive support vector regression model. In the study, the proposed wavelet-based adaptive support vector regression models trained by the training sample sets with 2 ̃6 -dimensional input vector respectively are used to show the ...

A procedure, called α-procedure, for the efficient automatic classification of multivariate data is described. It is based on a geometric representation of two learning classes in a proper multi-dimensional rectifying feature space and the stepwise construction of a separating hyperplane in that space. The dimension of the space, i.e. the number of features that is necessary for a successful cl...

In this paper, we describe an approach to estimate optic flow from an image sequence based on Support Vector Regression (SVR) machines with an adaptive e-margin. This approach uses affine and constant models for velocity vectors. Synthetic and real image sequences are used in order to compare results of the SVR approach against other well-known optic flow estimation methods. Experimental result...

The relevance vector machine (RVM) is a Bayesian framework for learning sparse regression models and classifiers. Despite of its popularity and practical success, no thorough analysis of its functionality exists. In this paper we consider the RVM in the case of regression models and present two kinds of analysis results: we derive a full characterization of the behavior of the RVM analytically ...

Support vector regression (SVR) has been popular in the past decade, but it provides only an estimated target value instead of predictive probability intervals. Many work have addressed this issue but sometimes the SVR formula must be modified. This paper presents a rather simple and direct approach to construct such intervals. We assume that the conditional distribution of the target value dep...