Showing papers in "Journal of Computational and Theoretical Nanoscience in 2015"

Thermal Interface Conductance Between Aluminum and Silicon by Molecular Dynamics Simulations

Abstract: The thermal interface conductance between Al and Si was simulated by a non-equilibrium molecular dynamics method. In the simulations, the coupling between electrons and phonons in Al are considered by using a stochastic force. The results show the size dependence of the interface thermal conductance and the effect of electron-phonon coupling on the interface thermal conductance. To understand the mechanism of interface resistance, the vibration power spectra are calculated. We find that the atomic level disorder near the interface is an important aspect of interfacial phonon transport, which leads to a modification of the phonon states near the interface. There, the vibrational spectrum near the interface greatly differs from the bulk. This change in the vibrational spectrum affects the results predicted by AMM and DMM theories and indicates new physics is involved with phonon transport across interfaces.

Nanometer bandwidth soliton generation and experimental transmission within nonlinear fiber optics using an add-drop filter system

Abstract: An optical add-drop filter system is used to generate ultra-short nanometer (nm) bandwidth soliton pulses to be transmitted along the nano communication nonlinear fiber optics. In order to reduce the loss during the transmission, ultra-short soliton pulses are recommended. The theoretical part of this study uses the Z-transform method to present the characteristic transmission of the optical add-drop filter system. The nonlinear refractive index of the fiber optic transmission link is 2.6×10-20 m2/W. The Wavelength Division Multiplexing (WDM) can be performed to enhance the capacity of the system. This occurs when the bigger size of the ring resonator is used. Here, soliton pulses with bandwidths of 2.1 and 0.42 nm are generated and transmitted over the fiber optic length, where signals with a bandwidth of 55 and 200 ps are successfully detected at the end of the transmission link.

Association Rule Mining Based on Bat Algorithm

Abstract: In this paper, we propose a bat-based algorithm (BA) for association rule mining (ARM Bat). Our algorithm aims to maximize the fitness function to generate the best rules in the defined dataset starting from a specific minimum support and minimum confidence. The efficiency of our proposed algorithm is tested on several generic datasets with different number of transactions and items. The results are compared to FPgrowth algorithm results on the same datasets. ARM bat algorithm perform better than the FPgrowth algorithm in term of computation speed and memory usage,