the geometric distribution of states duration is one of the main performance limiting assumptions of hidden markov modeling of speech signals. stochastic segment models, generally, and segmental hmm, specifically, overcome this deficiency partly at the cost of more complexity in both training and recognition phases. in this paper, a new duration modeling approach is presented. the main idea of ...

We present a scheme and a data structure that decomposes the space into adaptive-sized cells to improve the visualization of soft objects. Soft objects are visualized through the evaluation of field functions at every point of the space. According to the proposed scheme, the affecting soft objects for a point in the space is searched through the data structure called an interval tree based on t...

This paper presents the application of pitch/tone information to improve Parametric Trajectory Modeling (PTM). To simulate the trajectory of pitch in a segment in PTM recognizer, we in fact get its corresponding tone information. From another point of view, tone is a segmental feature and PTM has the excellent framework to incorporate it. So we here introduce the “soft” and “hard” integration m...

OBJECTIVE Virtual surgery provides important assistance in preoperative planning of brain surgeries. A virtual surgery system essentially consists of visualization and modeling of the medical data and deformation simulation of human organs (mainly soft tissues). We used the hybrid level set theory, threshold segmentation, and morphological methods to segment the human head MRI volumetric data i...

The inherent compliance of soft mobile robots makes them a safe option for interaction with humans and fragile environments. To expand their possibilities around our daily life, it is desirable to have enhanced traversal ability structure movement. meet this requirement, we propose new type robot that moves while selecting rotational, wave, climbing locomotion. proposed robot, named DECSO, form...

Soft tissue modeling for the creation of a haptic simulator for training medical skills has been the focus of many attempts up to now. In soft tissue modeling the most important parameter considered is its being real-time, as well as its accuracy and sensitivity. In this paper, ANFIS approach is used to present a nonlinear model for soft tissue. The required data for training the neuro-fuzzy mo...

The effects of soft-segment molecular weight and organic modifier on properties of organic-modified MMT-PU nanocomposites " , J. App. Abstract: The effects of soft-segment molecular weight and organic modification of montmorillonite (MMT) on thermal and mechanical properties of segmented polyurethane (PU) elastomers were investigated. The PU/MMT nanocomposites were prepared by in situ polymeriz...

Nitric oxide (NO)-releasing polyurethanes capable of releasing up to 0.20 μmol NO cm(-2) were synthesized by incorporating active S-nitrosothiol functionalities into hard and soft segment domains using thiol group protection and post-polymerization modifications, respectively. The nitrosothiol position within the hard and soft segment domains of the polyurethanes impacted both the total NO rele...