We have designed and implemented a virtual machine monitor that virtualizes a sharedmemory multi-processor machine on a commodity cluster. This functionality greatly simplifies utilization of commodity clusters. For example, it enables parallel applications for sharedmemory multi-processor systems to run on clusters without any change of the applications. Moreover, commodity operating systems t...

Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking etc. Existing approaches have focused on binary detection i.e. either the URL is malicious or benign. Very few literature is found which focused on the detection of malicious URLs and their attack types. Hence, it becomes necessary to know the attack type and adopt an effective countermeasure. This pa...

In industries machine maintenance is used in order to avoid untimely machine fails as well as to improve production effectiveness. This research regards a permutation flow shop scheduling problem with aging and learning effects considering maintenance process. In this study, it is assumed that each machine may be subject to at most one maintenance activity during the planning horizon. The objec...

the aim of this paper is to extend a hybrid protection plan for power transformer (pt) based on mra-ksir-ssvm. this paper offers a new scheme for protection of power transformers to distinguish internal faults from inrush currents. some significant characteristics of differential currents in the real pt operating circumstances are extracted. in this paper, multi resolution analysis (mra) is use...

Neural network-based machine learning is capable of approximating functions in very high dimension with unprecedented efficiency and accuracy. This has opened up many exciting new possibilities, one which to use algorithms assist multi-scale modeling. In this review, we three examples illustrate the process involved using modeling: ab initio molecular dynamics, meso-scale models, such as Landau...