performance optimization of a single-effect lithium bromide water absorption refrigerationsystem is the subject of this paper. first, the thermodynamic model of the system wasderived based on thefirst and second law analysis of an absorption refrigeration cycle with libr-water as the working fluid pair.then, the effects of different design parameters such as the generator inlet hot water temper...

In this paper a sliding mode controller (SMC) is designed for a permanent magnet direct current (PMDC) motor to enhance the motor performance in the presence of unwanted uncertainties. Both the electrical and mechanical signals are used as the inputs to the SMC. The complete motor control system is simulated on a personal computer with different design parameters and desirable system performanc...

This paper includes the significant on-site experience of the authors related to problems faced in amine systems with fresh amine and their possible solutions in phases#2&3 of South Pars gas                complex. The amine system was designed as a closed circuit system with the primary objective of removing H2S, CO2, and other acidic components from gaseous hydrocarbon streams. Amine plant op...

abstract background: obesity represents one of the most important nutritional problems worldwide.obesity in childhood can cause variety of health issues such as orthopedic, neurological, pulmonary and gastroenterological disorders in the future, although no side effects were reported from malignant obesity during childhood. in this paper, we presented a computer-aided diagnosis system to predic...

this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...

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...