Partricular features of overpassing local optima and providing near-optimal soultion in practical time has led researchers to apply metaheuristics in several engineering problems. Optimal design of diagrids as one of the most efficient structural systems in tall buildings has been concerned here. Jaya algorithm as a recent paramter-less optimization method is employed to solve the problem using...

Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...

Increasing efficiency and decreasing cost are the main purposes in the design of the power generation systems. In this study two hybrid systems: solid oxide fuel cell (SOFC)-gas turbine (GT) and SOFC-GT-steam turbine (ST); are considered. Increasing the SOFC input temperature causes thermodynamics improvement in the hybrid system operation. For this purpose, using two set of SOFC reactants heat...

in this article a graph theoretical approach is employed to study some specifications of dynamic systems with time delay in the inputs and states, such as structural controllability and observability. first, the zero and non-zero parameters of a proposed system have been determined, next the general structure of the system is presented by a graph which is constructed by non-zero parameters. the...

Actually, the Hybrid Systems (HS) approach is very used to solve problems where different knowledge representations are involve in one system. This integration has the advantage to compensate the weakness of one or another system complementing their strengths. The Neuro-Symbolic Hybrid Systems (NSHS) arise of the HS as an approach that offer the possibility to implement robust systems where the...

-A hybrid model of a probabilistic and non-probabilistic reliability theory is developed to predict the structural reliability when the probabilistic characteristics parameters of structural properties are imprecisely known. In this study, these parameters are described by appropriate ellipsoid. Interval of the structural reliability will be sought, i.e. estimating the worst possible reliabilit...

Fault diagnosis is a challenging task in the control of Hybrid Systems. In this work we introduce the notion of diagnosability of Hybrid Systems in the framework of Hybrid Input Output Automata (HIOA). We present a methodology for detection of faults imposing the conditions for a Hybrid System to be diagnosable. This approach is applicable to a wide rage of systems since Hybrid Systems involve ...

Many Gram-negative pathogens employ a specific secretion pathway, termed type III secretion, to deliver virulence effector proteins directly to the membranes and cytosol of host eukaryotic cells. Subsequent functions of many effector proteins delivered in this manner result in subversion of host-signalling pathways to facilitate bacterial entry, survival and dissemination to neighbouring cells ...

Success of any training system is based on satisfaction of the user and factors affecting this satisfaction. This article studies satisfaction of a hybrid training system (which is a combination of e-learning and traditional training systems) for Probability and Statistics for Engineers at Shahid Behashti University in Iran. Using the related literature, this article derives a model for factors...