A bearingless induction machine has combined characteristics of induction motor and magnetic bearings. Therefore, the advantages are small size and low-cost. In the magnetic suspension of the bearingless motors, suspension forces are generated based on the feedback signals of displacement sensors detecting the movement of the rotor shaft. The suspension forces are generated taking an advantage ...

The classification of Internet traffic has come to the forefront in recent times as organization of network traffic is necessitated by the increasing use of the internet and limited bandwidth. Also,

a bearingless induction machine has combined characteristics of induction motor and magnetic bearings. therefore, the advantages are small size and low-cost. in the magnetic suspension of the bearingless motors, suspension forces are generated based on the feedback signals of displacement sensors detecting the movement of the rotor shaft. the suspension forces are generated taking an advantage ...

abstract background and purpose:vector-borne diseases such as malaria and leishmaniasis are still a public health problem in iran. one of the effective ways to prevent of these diseases is to improve the vector control program. we carried out this study for assessment managers of school knowledge, attitude and practice regarding vector control programs. materials and methods:a cross-sectional s...

This paper describes an intelligent, active, real-time, risk adaptable access control (RAdAC) system designed to extend the benefits of the National Security Agency's Security-Enhanced Linux (NSA's SELinux) by using SELinux not only as a secure base, but also as a source of input features to a Support Vector Machine (SVM) that will classify events/attacks in several categories. By enhancing SEL...

in the last two decade the use of aerial laser scanner (als) or lidar (light detection and ranging) sensor in geomatics engineering and surveying application has augmented significantly . the main reason of the mentioned phenomenon is the reliability and accuracy of the data obtained by lidar sensors. the output of lidar is unclassified 3d point cloud. classification of the lidar point clouds i...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

classification ensemble, which uses the weighed polling of outputs, is the art of combining a set of basic classifiers for generating high-performance, robust and more stable results. this study aims to improve the results of identifying the persian handwritten letters using error correcting output coding (ecoc) ensemble method. furthermore, the feature selection is used to reduce the costs of ...