Nematic - Isotropic Transition in Porous Media - a Monte Carlo Study

We propose a lattice model to simulate the influence of porous medium on the Nematic - Isotropic transition of liquid crystal confined to the pores. The effects of pore size and pore connectivity are modelled through a disorder parameter. Monte Carlo calculations based on the model leads to results that compare well with experiments.Comment: 11 pages; 4 figure

Nonlinearity Induced Critical Coupling

We study a critically coupled system (Opt. Lett., \textbf{32}, 1483 (2007)) with a Kerr-nonlinear spacer layer. Nonlinearity is shown to inhibit null-scattering in a critically coupled system at low powers. However, a system detuned from critical coupling can exhibit near-complete suppression of scattering by means of nonlinearity-induced changes in refractive index. Our studies reveal clearly an important aspect of critical coupling as a delicate balance in both the amplitude and the phase relations, while a nonlinear resonance in dispersive bistability concerns only the phase

Ricci Solution in Kenmotsu Manifolds

In this paper we give a characterisation of Ricci solitons in Ricci recurrent and φ-recurrent Kenmotsu manifolds based on the 1-for

Mining Contestant From Large Unformed Datasets

We imagine the request. However, there is no doubt that the end-user star level message does not appear on many audit webpage’s. Therefore, the way to remedy indirect criticisms and investigations in interesting systems is a key issue in web expert systems and computer-assisted training. According to the clients' inclination, we add rounds of tenderness to two favorite things, so their recipe is in shape, and they will focus on a steady level. Emotional scanning is an important and ultimately important drive to lower a user's true personal tastes. In order to gain one's own reputation, kindness in auditing is very important. In general, if the nature of the element takes into account the behavioral concept, the design may be in the midst of a more advanced ability for a wide range of criteria. Within our application, we take advantage of the concept of organized theft to explain the arrangement. We got out of the fun-loving columns. Then, we have romantic ideas, which I advanced to tell the businessman. However, interesting web content does not provide classified intelligence all the time, and everyone's technology doesn't advance in unnecessary customer breaks. Expert to discover two strange and suggestive grandparents. By analyzing buyer ratings, they can place individual experts at the forefront of the victim's happiness for an appropriate pair of people. We mainly want ads with ingredients name and some character / goods / service features. LDA is actually a Gaussian group that is applied to assess, to cover topics and differences. We organize a number of experiments to determine opera in our degree according to buyer's bias. We combine presentation in our system with all live data for Yelp dataset

Swarm Intelligence for Digital Circuits Implementation on Field Programmable Gate Arrays Platforms

Field programmable gate arrays (FPGAs) are becoming increasingly important implementation platforms for digital circuits. One of the necessary requirements to effectively utilize the FPGA\u27s resources is an efficient placement and routing mechanism. This paper presents an optimization technique based on swarm intelligence for FPGA placement and routing. Mentor graphics technology mapping netlist file is used to generate initial FPGA placements and routings which are then optimized by particle swarm optimization (PSO). Results for the implementation of a binary coded decimal bidirectional counter and an arithmetic logic unit on a Xilinx FPGA show that PSO is a potential technique for solving the placement and routing problem

Comparison of Particle Swarm Optimization and Backpropagation as Training Algorithms for Neural Networks

Particle swarm optimization (PSO) motivated by the social behavior of organisms, is a step up to existing evolutionary algorithms for optimization of continuous nonlinear functions. Backpropagation (BP) is generally used for neural network training. Choosing a proper algorithm for training a neural network is very important. In this paper, a comparative study is made on the computational requirements of the PSO and BP as training algorithms for neural networks. Results are presented for a feedforward neural network learning a nonlinear function and these results show that the feedforward neural network weights converge faster with the PSO than with the BP algorithm

FPGA Placement and Routing Using Particle Swarm Optimization

Field programmable gate arrays (FPGAs) are becoming increasingly important implementation platforms for digital circuits. One of the necessary requirements to effectively utilize the FPGA\u27s fixed resources is an efficient placement and routing mechanism. This paper presents particle swarm optimization (PSO) for FPGA placement and routing. Preliminary results for the implementation of an arithmetic logic unit on a Xilinx FPGA show that PSO is a potential technique for solving the placement and routing problem

D-Homothetically Deformed Kenmotsu Metric as a Ricci Soliton

In this paper we study the nature of Ricci solitons in D-homo-thetically deformed Kenmotsu manifolds. We prove that η -Einstein Kenmotsu metric as a Ricci soliton remains η -Einstein under D-homothetic deformation and the scalar curvature remains constant