In order to obtain ideal moving target detection results, a kind of moving target detection algorithm of improved mixture Gaussian model is proposed in this paper on the basis of analyzing the deficiency of traditional Mixture Gaussian model. Firstly, in this algorithm, the update rate is increased to better adapt to the change of environment and the idea of pixel connected region is introduced...

Abstract This work addresses optimal control problems governed by a linear time-dependent partial differential equation (PDE) as well integer constraints on the control. Moreover, observations are assumed in objective function. The resulting problem poses several numerical challenges due to mixture of combinatorial aspects, induced variables, and large scale algebra issues, arising from PDE dis...

The method of mathematical modelling that takes into account various physical systems, such as tele-communications, High voltage transmission, and chemical reactors, ultimately produced a variety solutions for bigger order complex models with higher order. Order reduction is essential systems (HOS) reducing complexity designing controllers. In to improve upon several existing model approaches, ...

<div align="left"><span>Through the hype in digital marketing and continuous increase volume velocity of opinions about an organization’s brands, churn prediction now requires advanced analytics opinion mining for effective customer behavioral management beyond keywords sentiment analysis (SA). Earlier, by analyzing customers’ using SA models, extracted positive-negative polarity is...

Today competitive environment has enforced practitioners and researchers to pay great attention to issues enhancing both production and marketing competitiveness. To do so, it has been obligatory for the firms to consider production side activities while customer requirements are on the other side of competition. In this regard, hybrid make-to-stock (MTS)/make-to-order (MTO) production systems ...

this paper proposes an optimized control policy over type one diabetes. type one diabetes is taken into consideration as a nonlinear model (augmented minimal model), which is implemented in matlab-simulink. this model is developed in consideration of the patient's conditions. there are some uncertainties in the regarded model due to factors such as blood glucose concentration, daily meals ...

Parsimonious Markov models, a generalization of variable order Markov models, have been recently introduced for modeling biological sequences. Up to now, they have been learned by Bayesian approaches. However, there is not always sufficient prior knowledge available and a fully uninformative prior is difficult to define. In order to avoid cumbersome cross validation procedures for obtaining the...

Problem statement: The common assumption in non-randomized Phase II clinical trials is a homogeneous population with homogeneous response. This assumption is at odds with many trials today; a heterogeneous response due to the existence of subgroups. Approach: In order to examine the effects of heterogeneity on the trial outcome, a systematic platform is developed to quantify the range and class...

This paper considers a bi-objective mathematical model for locations of landfills, transfer stations and material recovery facilities (MRFs) in order to serve the entire regions and simultaneously identify the capacities of landfills. This is a mixed-integer programming (MIP) model, whose objectives are to minimize the total cost and pollution simultaneously. To validate the model, a numerical ...