This paper presents a real-time method for Spoken Language Identification based on the entropy of the posterior probabilities of language specific phoneme recognisers. Entropy based discriminant functions computed on short speech segments are used to compare the model fit to a specific set of observations and language identification is performed as a model selection task. The experiments, perfo...

A completely automatic identification system is described which uses the latest results of the frequency domain identification approach to provide an easy-to-use and reliable tool to the inexperienced users. The proposed system accepts periodic measurement data and performs the whole identification procedure automatically from the data-preprocessing step to model and parameter selection. The va...

The introduction of cloud computing techniques revolutionized the current of information processing and storing. Cloud computing as a competitive edge provides easy and automated access to the vast ocean of resources through standard network mechanisms to businesses and organizations. Due to the vast diversity of service providers and their respective variety of available services with differen...

A completely automatic identification system is described which uses the latest results of the frequency domain identification approach to provide an easy-to-use and reliable tool to the inexperienced users. The proposed system accepts periodic measurement data and performs the whole identification procedure automatically from the data-preprocessing step to model and parameter selection. The va...

introduction pressure ulcers are tissue damages resulting from blood flow restriction, which occurs when the tissue is exposed to high pressure for a long period of time. these painful sores are common in patients and elderly, who spend extended periods of time in bed or wheelchair. in this study, a continuous pressure and temperature monitoring system was developed for pressure ulcer preventio...

over the years, the feasibility of using electrocardiogram (ecg) signal for human identification issue has been investigated, andsome methods have been suggested. in this research, a new effective intelligent feature selection method from ecg signals hasbeen proposed. this method is developed in such a way that it is able to select important features that are necessary for identificationusing a...

Proportionate type adaptive filtering (PtAF) algorithms have been successfully applied for sparse system identification. The major drawback of the traditional PtAF based on the mean square error (MSE) criterion is poor robustness in the presence of abrupt changes because the MSE is valid and rational under Gaussian assumption. However, this assumption is not satisfied in most real-world applica...