Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...

The wireless power terminals are deployed in harsh public places and lack strict control, facing security problems. Thus, they faced with problems such as illegal counterfeit terminal access, unlawful control of connected terminals, etc. intrusion detection system based on machine learning artificial intelligence significantly improve the side’s abnormal capacity. In this article, we aim at ide...

Light emitters in the vicinity of a hyperbolic metamaterial (HMM) show range quantum optical phenomena from spontaneous decay-rate enhancement to strong coupling. In this study, we integrate monolayer molybdenum disulfide (${\mathrm{Mo}\mathrm{S}}_{2}$) emitter near-field region HMM. The ${\mathrm{Mo}\mathrm{S}}_{2}$ has $A$ and $B$ excitons, which emit red visible spectrum. We find that excito...

In this paper, a new Hidden Markov Model (HMM)-based face recognition system is proposed. As a novel point despite of five-state HMM used in pervious researches, we used 7-state HMM to cover more details. Indeed we add two new face regions, eyebrows and chin, to the model. As another novel point, we used a small number of quantized Singular Values Decomposition (SVD) coefficients as feature...

Passive acoustic monitoring (PAM) is generally usedto extract signals produced by cetaceans. However, the large data volume from PAM process better analyzed using an automated technique such as hidden Markovmodels (HMM). In this paper, HMM used a detection and classification due to its robustness low time complexity. Nonetheless, certain parameters, choice of features be extracted signal, frame...

Oil and gas pipeline leakages lead to not only enormous economic loss but also environmental disasters. How detect the damages including cracks has attracted much research attention. One of promising leakage detection method is use zirconate titanate (PZT) transducers negative pressure wave when occurs. PZT can generate guided stress waves for crack also. However, or may be easily detected with...