We introduce a new method to investigate stability of work-conserving policies in multiclass queueing networks. The method decomposes feasible trajectories and uses linear programming to test stability. We show that this linear program is a necessary and suucient condition for the stability of all work-conserving policies for multiclass uid queueing networks with two stations. Furthermore, we n...

It is now known that the usual traac condition (the nominal load being less than one at each station) is not suucient for stability for a multiclass open queueing network. Although there has been some progress in establishing the stability conditions for a multiclass network, there is no uniied approach to this problem. In this paper, we prove that a queueing network is positive Harris recurren...

Multiclass problems with binary SVM classifiers are commonly treated as a decomposition in several binary sub-problems. An open question is how to properly tune all these sub-problems (SVM hyperparameters) in order to have the lowest error rate for a SVM multiclass scheme based on decomposition. In this paper, we propose a new approach to optimize the generalization capacity of such SVM multicl...

In this paper, we present and evaluate a novel method for feature selection for Multiclass Support Vector Machines (MSVM). It consists in determining the relevant features using an upper bound of generalization error proper to the multiclass case called the multiclass radius margin bound. A score derived from this bound will rank the variables in order of relevance, then, forward method will be...

In this paper, we present the mathematical foundations of a probabilistic neural network for gene selection and classification of high-dimensional microarray data. We present a catalogue of features that a classification system for microarray data should incorporate. We then use this catalogue and compare the theoretical properties of probabilistic neural networks with support vector machines w...

With the increase in the number of adults undergoing orthodontic treatment, there has been a corresponding increase in demand for more esthetic orthodontic appliances. These new appliances combine both acceptable esthetics and adequate technical performance. This article presents the currently available appliances and discusses the potential problems associated with each. Recent advances have a...

All common household devices are infrared compatible and have separate remote to control them. With the advancement of the society and smart home, the demand of home appliances are increasing resulting in the increase in remote controls for them. This paper proposes an approach to completely remove the remote and use our android mobile with infrared port facility to control the home appliances....

In present days there are wide varieties of household electric appliances along with different power consumption habits of consumers, making identifying electric appliances without presetting difficulty. This paper introduces smart appliance management system to recognize electric appliances in home networks, which uses sensing devices that measure current to calculate the power consumption of ...

Smart meters report power usage at 15 minute intervals and, compared to monthly power bills, provide the users with a much finer resolution time series of energy usage. However, apart from identifying times of peak energy usage, these smart meters provide little actionable data for the user in terms of reducing their power costs. Our research involves the development of an intelligent metering ...

In this paper, we make a proposal to build a classifier with fuzzy outputs with multiclass Support Vector Machines (SVMs). This allows us to widen the applicability of this kind of powerful and soundly founded classifiers. We consider the pairwise multiclass version and investigate different alternatives for the aggregation process. A number of experiments have been carried out to establish the...