Run off resulted from rainfall is the main way of receiving water in most parts of the World. Therefore, prediction of runoff volume resulted from rainfall is getting more and more important in control, harvesting and management of surface water. In this research a number of machine learning and data mining methods including support vector machines, regression trees (CART algorithm), model tree...

Honing is a process for finishing surfaces to obtain smooth surface. This process is used for final polish of inner parts such as engines cylinders. Optimizing this process has always been a big challenge for mass production of cylinder blocks of internal combustion engines. Honing process has some variable parameters, thus to get their optimum rates the automobile cylinders were tested. In thi...

machine de nitions \in the middle" correspond exactly. That is, the concrete-level machine for the upper diagram must match exactly the abstractlevel machine for the lower diagram. Also, MapDown 1 must always yield a state that sati es the GOOD-STATE predicate for machine M2. If these conditions are satis ed, we will have established that the high level machine M1 is correctly implemented on th...

Like macroscopic machines, molecular-sized machines are limited by their material components, their design, and their use of power. One of these limits is the maximum number of states that a machine can choose from. The logarithm to the base 2 of the number of states is defined to be the number of bits of information that the machine could "gain" during its operation. The maximum possible infor...

In the context of virtual machines live migration, two strategies called “pre-copy” and “post-copy” have already been presented; but each of these strategies works well only in some circumstances. In this paper, we have a brief presentation of QAVNS and then introduce a new approach which is based on the concept of "informational object", assigning QAVNS-scheme-revision number, and observing th...

The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...

Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...

To resolve the problem that virtual machine deployment reservation scheme waste a lot of resources and single-objective deployment algorithm is not comprehensive, a virtual machine resource allocation algorithm based on virtual machines group multi-objective genetic algorithm is proposed. The algorithm is divided into group coding and resources coding. Resources coding integrated coding accordi...