Herding defines a deterministic dynamical system at the edge of chaos. It generates a sequence of model states and parameters by alternating parameter perturbations with state maximizations, where the sequence of states can be interpreted as “samples” from an associated MRF model. Herding differs from maximum likelihood estimation in that the sequence of parameters does not converge to a fixed ...

  Objective(s): The present study was designed to investigate the antibacterial function and pharmacological effect of elephant garlic (Allium ampeloprasum var. ampeloprasum) on U2OS human osteosarcoma cells.   Materials and Methods: Seven kinds of bacteria were reconstituted, inoculated and tested in this research to evaluate elephant garlic antibacterial activity. By the means ...

Due to the unpredictable nature of renewable sources such as sun and wind, integration a grid is complicated. However, hybrid energy system (HRES) can solve this problem. Constructing reliable HRES in remote areas essential. Therefore, paper proposes new methodology incorporating crow search algorithm (CSA) for optimizing scale an installed area. The constructed comprises photovoltaic (PV) pane...

Hierarchical crowdsourcing networks (HCNs) provide a useful mechanism for social mobilization. However, spontaneous evolution of the complex resource allocation dynamics can lead to undesirable herding behaviours in which a small group of reputable workers are overloaded while leaving other workers idle. Existing herding control mechanisms designed for typical crowdsourcing systems are not effe...

We show that the algorithm by Batra et al. (2012) to extract diverse M -solutions from a Conditional Random Field (called divMbest) takes exactly the form of a Herding procedure (Welling, 2009b), i.e. a deterministic dynamical system that produces a sequence of solutions that respect a set of observed moment constraints. This generalization enables us to invoke properties of Herding that show t...

A large number of sensors are deployed for performing various tasks in the smart cities. The connected with each other through Internet that leads to emergence Things (IoT). As time passes, is exponentially increasing. Not only this, enhancement has also laid base automation. However, increased make IoT networks more complex and scaled. Due increasing size complexity, scale-free nature found hi...

This paper is concerned with robotic herding of a swarm of birds by another adversarial agent, referred to as the pursuer. The objective of herding is to prevent the birds from entering a specified volume of space, such as the air space around an airport. The n-Wavefront algorithm was introduced by the authors in a prior paper to enable herding of a swarm of birds using a robotic unmanned aeria...

global optimization methods play an important role to solve many real-world problems. flower pollination algorithm (fp) is a new nature-inspired algorithm, based on the characteristics of flowering plants. in this paper, a new hybrid optimization method called hybrid flower pollination algorithm (fppso) is proposed. the method combines the standard flower pollination algorithm (fp) with the par...