For many years the human auditory system has been an inspiration for developers of automatic speech recognition systems because of its ability to interpret speech accurately in a wide variety of difficult acoustical environments. This paper discusses the application of physiologically-motivated approaches to signal processing that facilitate robust automatic speech recognition in environments w...

introduction: in this study the automatic separation of oral and salivary gland activity and spontaneous secretion by means of factor analysis for quantitative salivary gland scintigraphy is introduced. methods: after intravenous administration of 99mtc sodium pertechnetate, dynamic scintigraphy was performed. 20 minutes after tracer application 2 ml of lemon juice was delivered to stimulate t...

Learning via collaboration has gained much success over past few decades given their learning benefits. Group composition has been seen as a relevant design element that contributes to the potential effectiveness of collaborative learning. To support practitioners in this context this paper addresses the problem of automatic group formation implementing policies related to wellknown collaborati...

In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed...

Organizations have become increasingly dependent on computing systems to achieve their business goals. The performance of these systems in terms of response times and cost has a major impact on their effectiveness. To achieve openness and scalability, these systems have begun to rely on distributed environment technologies such as the Open Software Foundation’s Distributed Computing Environment...