Search

With the continuous development of the global economy, energy consumption continues to grow, which leads to the increasing scarcity of traditional fossil fuels and exacerbates environmental pollution and global warming. According to the heavy fossil fuel dependency of Fiji energy systems, the Fiji government has advised industries to use more renewable energy facilities. MATLAB software is applied for economic assessment and optimization. The case study is about a water factory in Fiji. The break-even point and power generation of various power sources in different scenarios for hybrid renewable power generation systems are investigated. The simulation results indicate that the suggested systems have a break-even point from 4.47 to 4.57 years. The suggested systems achieve a cost of energy (COE) value of $0.253-0.27. [ABSTRACT FROM AUTHOR]

After observing the ensemble success in supervised learning (such as classification), it was extended into unsupervised learning. Therefore, cluster ensemble, which merges multiple basic data partitions or clusters (called as ensemble pool) into an ordinarily better clustering solution usually named as consensus partition, emerged. Any cluster ensemble method tries to optimize a particular criterion during extracting the consensus partition out of the ensemble pool. But traditional cluster ensembles consider all the pool members with the equal importance in making the consensus partition; that is to say that each basic partition or cluster participates in the cluster ensemble algorithm equivalently. Indeed, they ignore to consider any ensemble member according to its importance. But it is obvious that some clusters with more quality deserve more emphasis and some clusters with less quality deserve less emphasis during generating consensus partition. This paper proposes (a) a metric to evaluate quality of any arbitrary cluster, (b) a mechanism to project the computed quality of a cluster into a meaningful weight value, and (c) an approach to apply the weight values of the basic clusters in the cluster ensemble process. Experimental results conducted on a number of real‐world standard datasets indicate that the proposed method outperforms the state of the art methods. [ABSTRACT FROM AUTHOR]

Diffusion-based molecular communication (DBMC) has emerged as a promising communication option, particularly for biomedical and healthcare applications. Although, numerous studies have been conducted to evaluate and analyse DBMC system, investigation on DBMC through multilayer channels has had less attention. In this paper, a closed-form expression is derived for the mean molecular concentration over an n-layer channel. An averaged diffusion coefficient for thin, dissimilar and multilayer propagation channels is determined through the addition of a diffusion resistance for each medium analogously to the sum of series resistors in circuit theory. The channel characteristics such as impulse response, time delay and attenuation are analytically obtained using amplitude detection technique. The effects of layer thickness and the distance between a transmitter nanomachine and a receiver nanomachine on the channel time delay and channel attenuation under the pulse modulation scheme are evaluated and discussed. The results show that increasing the diffusion coefficient leads to time delay decrements; however, the channel attenuation remains unchanged. Moreover, lengthening the transmission distance increases the time delay and decreases the channel attenuation. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]