DLWUC: Distance and Load Weight Updated Clustering-Based Clock Distribution for SOC Architecture

High-clock skew variations and degradation of driving ability of buffers lead to an additional power dissipation in Clock Distribution Network (CDN) that increases the dimensionality of buffers and coordination among flip-flops. The manual threshold level to predict the Region of Interest (ROI) is not applicable in clustering process due to the complexities of excessive wire length and critical delay. This paper proposes the Distance and Load Weight Updated Clustering (DLWUC) to determine the suitable position of logical components. Initially, the DLWUC utilizes the Hybrid Weighted Distance (HWD) to estimate the distance and construct the distance matrix. The weight value extracted from the sorted distance matrix facilitates the projection of buffers. The updated weight value serves as the base for clustering with labeled outputs. The placement of buffer at the suitable place from load weight updated clustering provides the necessary trade-off between clock provision and load balance. The DLWUC discussed in this paper reduces the size of buffers, skew, power and latency compared to the existing topologies

Untangling hotel industry’s inefficiency: An SFA approach applied to a renowned Portuguese hotel chain

The present paper explores the technical efficiency of four hotels from Teixeira Duarte Group - a renowned Portuguese hotel chain. An efficiency ranking is established from these four hotel units located in Portugal using Stochastic Frontier Analysis. This methodology allows to discriminate between measurement error and systematic inefficiencies in the estimation process enabling to investigate the main inefficiency causes. Several suggestions concerning efficiency improvement are undertaken for each hotel studied.info:eu-repo/semantics/publishedVersio

Modeling and Simulation in Engineering

The Special Issue Modeling and Simulation in Engineering, belonging to the section Engineering Mathematics of the Journal Mathematics, publishes original research papers dealing with advanced simulation and modeling techniques. The present book, “Modeling and Simulation in Engineering I, 2022”, contains 14 papers accepted after peer review by recognized specialists in the field. The papers address different topics occurring in engineering, such as ferrofluid transport in magnetic fields, non-fractal signal analysis, fractional derivatives, applications of swarm algorithms and evolutionary algorithms (genetic algorithms), inverse methods for inverse problems, numerical analysis of heat and mass transfer, numerical solutions for fractional differential equations, Kriging modelling, theory of the modelling methodology, and artificial neural networks for fault diagnosis in electric circuits. It is hoped that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modelling and simulation in mathematical physics and in engineering