An approach to build a multi-class classifier is proposed in this paper. This approach consists of a derivation to show under which loss function an optimal classifier can be obtained. It also consists of a method of selection of principal components for multi-class classification through univariate logistic regressions. And it consists of a derivation of certain derivatives to rank the feature...

For the first time, nuclear properties are experimentally examined on the water cooled pebble bed blanket by using DT neutrons with two partial mockups; multi-layered mockup with water and pebble bed mockup. Prediction uncertainties are clarified on tritium production rate (TPR) through the experimental analyses. From the multi-layered mockup experiment, it is found that integrated tritium prod...

In this paper, we attempt to solve the problem of min-cost multicast routing for multi-layered multimedia distribution. More specifically, for (i) a given network topology (ii) the destinations of a multicast group and (iii) the bandwidth requirement of each destination, we attempt to find a feasible routing solution to minimize the cost of a multicast tree for multi-layered multimedia distribu...

This paper presents the results of Persian handwritten word recognition based on Mixture of Experts technique. In the basic form of ME the problem space is automatically divided into several subspaces for the experts, and the outputs of experts are combined by a gating network. In our proposed model, we used Mixture of Experts Multi Layered Perceptrons with Momentum term, in the classification ...

Automated image processing aids in classification of biological images. Many natural structures such as neurons may be multifractal and therefore not analyzable using current methods. The multifractal spectrum proposed here may mitigate this, Here we report the outcome of applying three methods that elucidate the variation within 16 rat retinal ganglion cells using the local connected fractal d...

In this paper, rotor bar Aluminum Loss of Squirrel Induction Motor running in steady state with full load is investigated. Multi-layered analytical model of rotor bar is employed to analyze the Aluminum loss generated by harmonic current. This model divides the rotor bar into a series of sub-layers with resistance remained constant in each sub-layer considering the skin effect. The bar loss in ...

The vein structure in the sclera, the white and opaque outer protective covering of the eye, is anecdotally stable over time and unique to each person. As a result, it is well suited for use as a biometric for human identification. Sclera recognition poses several challenges: the vein structure moves and deforms with the movement of the eye and its surrounding tissues; images of sclera patterns...

This study aims to investigate the effects of violations of the sphericity assumption on Type I error rates for different methodical approaches of repeated measures analysis using a simulation approach. In contrast to previous simulation studies on this topic, up to nine measurement occasions were considered. Therefore, two populations representing the conditions of a violation vs. a non-violat...

This paper proposes a novel multi-layered gesture recognition method with Kinect. We explore the essential linguistic characters of gestures: the components concurrent character and the sequential organization character, in a multi-layered framework, which extracts features from both the segmented semantic units and the whole gesture sequence and then sequentially classifies the motion, locatio...