developing reliable yet flexible software is a hard problem. although modeling methods enjoy a lot of advantages, the exclusive use of just one of them, in many cases, may not guarantee the development of reliable and flexible software. formal modeling methods ensure reliability because they use a rigorous approach to software development. however, lack of knowledge and high cost practically fo...

in this study with the inspirations from both neuroscience and computer science, a combinatorial framework for object recognition was proposed having benefited from the advantages of both biologically-inspired hmax_s architecture model for feature extraction and extreme learning machine (elm) as a classifier. hmax model is a feed-forward hierarchical structure resembling the ventral pathway in ...

One of the modern paradigms to develop a system is object oriented analysis and design. In this paradigm, there are several objects and each object plays some specific roles. There is a sequence of activities to develop an analysis model. In the first step, we work in developing an initial use case model. Then in the second step, they identify a number of concepts and build a glossary of partic...

reservoir dams are among the main storage systems employed in agriculture for the several past decades. proper operation of these reservoirs is important for irrigation espe-cially in such arid and semi-arid areas like iran, and particularly during dry years. a computational framework for reservoir simulation and flood routing is hereby presented. a key aspect of the reservoir simulation is the...

in this paper, an interactive model for individual normal behaviour of drivers is presented in which the mutual effect of vehicles has been incorporated. temporal features obtained from vehicles tracking and their motion history is utilized for generating a model of normal behaviour. because of non-stationarity of behaviour, hidden markov model has been used for interactive model. this model ha...