Software based Memory acquisition on modern systems typically requires the insertion of a kernel module into the running kernel. On Linux, kernel modules must be compiled against the exact version of kernel headers and the exact kernel configuration used to build the currently executing kernel. This makes Linux memory acquisition significantly more complex in practice, than on other platforms d...

background and objectives: tree nuts and their oils contain bioactive materials which have vital roles in improving human’s health. degradation and decreasing the quality of the nuts especially in almond which have high fat is related to the oxidation. the quality of stored almond depends mainly on the kernel moisture and fat , storage temperature, relative humidity, oxygen level, type of packa...

on the basis of a reproducing kernel space, an iterative algorithm for solving the inverse problem for heat equation with a nonlocal boundary condition is presented. the analytical solution in the reproducing kernel space is shown in a series form and the approximate solution vn is constructed by truncating the series to n terms. the convergence of vn to the analytical solution is also proved. ...

Atom is a powerful platform for the implementation of prooling, debugging and simulation tools. Kernel support in ATOM makes it possible to implement similar tools for the Digital UNIX kernel. We describe four non-trivial Atom kernel tools which demonstrate the support provided in Atom for kernel work as well as the range of application of Atom kernel tools. We go on to discuss some techniques ...

The choice of kernel is essential in kernel-based leaning methods. One way to choose a suitable kernel is cross-validation, but there is an alternative solution, that is, learning the kernel from data. In this project, two papers about learning the kernel matrix and kernel function from data are surveyed and compared. The method of learning the kernel matrix is implemented, and empirical result...

Kernel rootkits pose a significant threat to computer systems as they run at the highest privilege level and have unrestricted access to the resources of their victims. Many current efforts in kernel rootkit defense focus on the detection of kernel rootkits – after a rootkit attack has taken place, while the smaller number of efforts in kernel rootkit prevention exhibit limitations in their cap...

The importance of the support vector machine and its applicability to a wide range of problems is well known. The strength of the support vector machine lies in its kernel. In our recent paper, we have shown how the Laplacian kernel overcomes some of the drawbacks of the Gaussian kernel. However this was not a total remedy for the shortcomings of the Gaussian kernel. In this paper, we design a ...

The importance of the support vector machine and its applicability to a wide range of problems is well known. The strength of the support vector machine lies in its kernel. In our recent paper, we have shown how the Laplacian kernel overcomes some of the drawbacks of the Gaussian kernel. However this was not a total remedy for the shortcomings of the Gaussian kernel. In this paper, we design a ...

The Persian walnut (Juglans regia L.) is one of the most valuable resources in Iran because of its multi benefits. The present study was conducted in Meshkin-Shahr in Ardabil province to investigate the important quantitative and qualitative characteristics of 31 walnut genotypes. Classification of genotypes was analyzed using the cluster method. The results showed that among selected walnut ge...

This paper parallelizes the spatial pyramid match kernel (SPK) implementation. SPK is one of the most usable kernel methods, along with support vector machine classifier, with high accuracy in object recognition. MATLAB parallel computing toolbox has been used to parallelize SPK. In this implementation, MATLAB Message Passing Interface (MPI) functions and features included in the toolbox help u...