In this work, a Multi-Level Artificial Bee Colony (called MLABC) for optimizing numerical test functions is presented. In MLABC, two species are used. The first species employs n colonies where each of them optimizes the complete solution vector. The cooperation between these colonies is carried out by exchanging information through a leader co lony, which contain s a set of elite bees. The sec...

We assume that internal shocks of gamma-ray bursts (GRBs) consist of multiple sub-jets with a collimation half-angle of about several times gamma-1i, where gammai is the Lorentz factor of each sub-jet. If by chance a sub-jet is first emitted off-axis from the line of sight, the observed peak energy can be in the X-ray region. Next, if by chance a subsequent sub-jet is emitted along the line of ...

In this paper, a novel approach is presented to compute large Dynamic Optimal Power Flow (DOPF) problems in a distributed computing architecture, referred to as a Smart Grid Communication Middleware (SGCM) system. The time horizon is split into shorter time intervals using the SGCM system to solve one iteration of the Primal Dual Interior Point Method (PDIPM) for each sub-problem in parallel. T...

In this article, a two-description distributed video coding (2D-DVC) is proposed to address the robust video transmission of low-power capturers. The odd/even frame-splitting partitions a video into two sub-sequences to produce two descriptions. Each description consists of two parts, where part 1 is a zero-motion based H.264-coded bitstream of a sub-sequence and part 2 is a Wyner-Ziv (WZ)-code...

This paper presents a computationally efficient approach for temporal action detection in untrimmed videos that outperforms state-of-the-art methods by a large margin. We exploit the temporal structure of actions by modeling an action as a sequence of sub-actions. A novel and fully automatic sub-action discovery algorithm is proposed, where the number of sub-actions for each action as well as t...

We consider the problem of estimating blocking probabilities in a multicast loss system via simulation, applying the static Monte Carlo method with importance sampling. An approach is introduced where the original estimation problem is first decomposed into independent simpler sub-problems, each roughly corresponding to estimating the blocking probability contribution from a single link. Then w...

This paper presents fingerprint indexing based on graph information of minutiae, fingerprint classification and verification based on hierarchical agglomerative clustering technique. The proposed fingerprint indexing is invariant under translation and rotation. Its performance is evaluated in terms of several real-life datasets. The fingerprint database is clustered into five classes based on t...

In this paper, we propose a multi-branch neural network architecture named Coupled Modular Neural Network (CMNN). A CMNN is consisting of ? closely coupled sub-networks, where termed as the branching factor in paper. We call whole super-graph and each sub-network sub-graph. Each sub-graph stand-alone shares common block with other sub-graphs. To effectively leverage simple but easy-to-implement...