The bottleneck (BN) of a production line is a machine that impedes the system’s performance in the strongest manner. It has been shown in the previous work that the so-called downtime bottlenecks (DT-BNs) are of main industrial importance. In this paper, a method for DT-BN identification is developed in the framework of serial production lines with unreliable (Markovian) machines and finite buf...

Edge detection could be an elementary and important tool in image/video processing notably within the areas of segmentation, feature extraction and tracking. The bottleneck of limited processor speed affects the image processing algorithms in software implementation. This has been overcome with the advancements in VLSI technology. The proposed work presents implementation of edge detection algo...

In this paper we present a novel approach to unsupervised clustering in building an efficient anomaly based network intrusion detection model. The method is based on a recently introduced sequential information bottleneck (sIB) principle. KDDCup 1999 intrusion detection benchmark dataset is used for the experimentation of our proposed technique. The experimental results demonstrate that the pro...

Concept bottleneck models (CBMs) are interpretable neural networks that first predict labels for human-interpretable concepts relevant to the prediction task, and then final label based on concept predictions. We extend CBMs interactive settings where model can query a human collaborator some concepts. develop an interaction policy that, at time, chooses which request so as maximally improve pr...

In this paper we investigate the stationary profiles of a nonlinear Fokker-Planck equation with small diffusion and in- outflow boundary conditions. We consider corridors bottleneck whose width has global nondegenerate minimum in interior. limit are obtained constructively by using methods from geometric singular perturbation theory (GSPT). identify three main types corresponding to: (i) high d...