Active objects offer a paradigm which simplifies writing distributed applications. Since each active object has a single thread of control, data races are prevented. However, this programming model has its limitations: it is deadlockprone, and it is not efficient on multicore machines. To overcome these limitations, we present an extension of the active object model, called multi-active objects...

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A multi-scale shape description tool based on active contour models has been developed, allowing to regularize and describe shape changes across scales. The internal energy of this spline-based model depends on analytic shape forces, and the external energy incorporates geometric image features like the image gradient and isophote curvature. Results of applying this technique to artiicial image...

Multi-instance multi-label learning (MIML) has achieved success in various applications, especially those involving complicated learning objects. Along with the enhancing of expressive power, the cost of annotating a MIML example also increases significantly. In this paper, we propose a novel active learning approach to reduce the labeling cost of MIML. The approach actively query the most valu...

a sensor, based on multi-wall carbon nanotubes modified glassy carbon electrode (mwcnt/gce), was developed for determination of fenitrothion. determining the surface area of mwcnt/gce showed that this surface is three times more active than that of a glassy carbon electrode. the experimental parameters, such as the amount of mwcnts, ph of the fenitrothion solution, preconcentration potential an...

this paper presents a multi-criteria vehicle routing problem with soft time windows (vrpstw) to mini-mize fleet cost, routes cost, and violation of soft time windows penalty. in this case, the fleet is heterogene-ous. the vrpstw consists of a number of constraints in which vehicles are allowed to serve customers out of the desirable time window by a penalty. it is assumed that this relaxation a...