In this paper, the digital controller design for compensating the dc-dc buck converter output voltage has been analyzed in the digital domain. The main idea of this paper is patterning the samples of high order ideal controller and using integral square error in determining digital PID coefficients. This approach provides higher precision of digital controller design and eliminates the need for...

Given the concerns of parents, students, and the educational system as a whole, in regards to the selection of field of study by the high school students, factors affecting these selections become of interest to all those involved. Based on the socio-educational foundation of the study, a group of 25 experts in education and field selection in Ilam Province was interviewed. Findings consist of ...

An important step in plant breeding programs is identification of parents that are geneticallydistant from each other, to find crossing combinations with better prospects of hybrid vigor. Thepotential of identifying genetically distant parents depends on genetic diversity of population. 58 linesof rice from diverse origins have been employed to study genetic variation in order to identify themo...

  We relax some assumptions of the traditional scheduling problem and suggest an adapted meta-heuristic algorithm to optimize efficient utilization of resources and quick response to demands simultaneously. We intend to bridge the existing gap between theory and real industrial scheduling assumptions (e.g., hot metal rolling industry, chemical and pharmaceutical industries). We adapt and evalua...

This paper introduces a Travel Demand Management (TDM) model in order to decrease the transportation externalities by affecting on passengers’travel choices. Thus, a bi-objective bi-modal optimization model for road pricing is developed aiming to enhance environmental and social sustainability by considering to minimize the air pollution and maximize the social welfare as its objectives. This m...

Model-driven engineering (MDE) has proven to be a useful approach to cope with todays ever growing complexity in the development of software systems, yet it is not widely applied in industry. As suggested by multiple studies, tool support is a major factor for this lack of adoption. Existing tools for MDE, in particular model transformation approaches, are often developed by small teams and can...

Over the last decade or so, artificial neural networks (ANNs) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. However, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. For this reason, this study aims at de...