Abstract- Kernel trick and projection to tangent spaces are two choices for linearizing the data points lying on Riemannian manifolds. These approaches are used to provide the prerequisites for applying standard machine learning methods on Riemannian manifolds. Classical kernels implicitly project data to high dimensional feature space without considering the intrinsic geometry of data points. ...

Impact of Acceleration Coefficient Strategies with Random Neighborhood Topology in Particle Swarm Optimization Mrs. Snehal Mohan Kamalapur, Dr. Varsha Hemant Patil Research Scholar, Research Guide DYPIET, Vice Principal, MCERC, Pune , Nashik India Abstract: Particle Swarm Optimization is optimization technique having few parameters to tune. Inertia Weight with velocity clamping has great impact...

in this paper, a new cascaded multilevel inverter by capability of increasing the number of output voltage levels with reduced number of power switches is proposed. the proposed topology consists of series connection of a number of proposed basic multilevel units. in order to generate all voltage levels at the output, five different algorithms are proposed to determine the magnitude of dc volta...

This study has been inspired by the paper "An efficient 3D topology optimization code written in MATLAB” written by Liu and Tovar (2014) demonstrating that SIMP-based three-dimensional (3D) topology optimization of continuum structures can be implemented in 169 lines of MATLAB code. Based on the above paper, we show here that, by simple and easy-to-understand modificati...

Evolutionary Algorithms (EAs) are well-known nature-inspired optimization methods. Diversity is an essenial aspect of each EA. It describes the variability of organisms in population. The lack of diversity is common problem – diversity should be preserved in order to evade local extremes (premature convergence). Niching algorithms are modifications of classical EAs. Niching is based on dividing...

Evolutionary algorithms are a practical means of optimising the topology of graphs. This paper explores the use of phenotype diversity measures as objectives in a graph grammar-based model of multi-objective graph evolution. Since the initial population in this model is exclusively constituted by empty productions, an active promotion of diversity is needed to establish the necessary building b...

In this paper, the stability analysis and control design of heterogeneous traffic flow is considered. It is assumed that the traffic flow consists of infinite number of cooperative non-identical vehicular platoons. Two different networks are investigated in stability analysis of heterogeneous traffic flow: 1) inter-platoon network which deals with the communication topology of lead vehicles and...

Route diversity improves the security of Wireless Sensor Networks (WSNs) against adversaries attempting to obtain sensitive sensor data. By limiting the fraction of data relayed over each link and/or routed through each relay node, route diversity can be achieved, thus, extracting useful information from the network is rendered more challenging for adversaries. Sensor nodes operate with limited...

Multilevel inverters have been developed due to limitations of the conventional two-level voltage source inverters (VSIs). Most of the topologies of multilevel inverters that have been presented in the literature are based on the sharing of the rated voltage between the switches so that the switches with lower voltage ratings can be used. In these topologies, the current rating of all of the sw...

Generation of four polymorphs of 2D-nCOF crystals that are formed through stacking of a hydrogen-bonded, hexagonally-networked framework is revealed for the first time. The structural diversity is caused not from the topology or the stacking manner of the framework but from subtle structural factors such as rotational conformation and location of conformational frustration within the framework.