in this work the general aspect and the behavior of a simplified theoretical model for studying mass isolated systems are investigated. the model is in the form of a dual mass model in a single storey arrangement. to find damping ratio and natural frequency of the system, non-classical eigen analysis has been performed on the model. later, time integration analyses subjected to different earthq...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

this work is a primary achievement in studying the co2 and n2–oil systems. to predict gas-liquid relative permeability curves, a shan-chen type multicomponent multiphase lattice boltzmann model for two-phase flow through 2d porous media is developed. periodic and bounce back boundary conditions are applied to the model with the guo scheme for the external body force (i.e., the pressure gradient...

the first motive for the determination and evaluation of an energy productionsystem is the need to change. such system is dynamic in nature and is influenced bymany factors such as age and physiological status of individual sheep or goat, quantityand quality of available feed and environment including the management systems.traditional pastoral resource assessments do not always account for the...

we compare two approaches for a markovian model in flexible manufacturing systems (fmss) using monte carlo simulation. the model which is a development of fazlollahtabar and saidi-mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (agv) namely, the reliability of machines and the reliability of agvs in a multiple agv jobsho...