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To detect and resolve distributed deadlocks in the generalized model, a few algorithms have been proposed. Most of them are distributed algorithms which are based on the diffusing computation technique where propagation of probes and backward propagation of replies are required. On the contrary, centralized algorithms send the dependency information(More)
OBJECTIVE To study the concentration of adhesion-related cytokines, transforming growth factor (TGF) β(1), platelet-derived growth factor (PDGF) BB, b-fibroblast growth factor (bFGF) in intrauterine fluid and their roles in the intrauterine-adhesion reformation. METHODS From August 2009 to February 2010, 18 patients with moderate or severe intrauterine(More)
A bare hand gesture recognition system using only a single color camera without any marker is presented in this paper. The system is mainly composed of image pre-processing, skin segmentation, feature extraction and gesture classification. The image pre-processing module transforms the raw image into the desirable feature vector which mainly includes(More)
A dual transformation system to transform neutral speech to emotional speech is proposed in this paper. Since spectral and prosodic features are key factors that influence the emotional effects of speech, Gaussian Mixture Model (GMM) method and the prosody rules algorithm are applied to transform the spectral and prosodic features respectively. In this(More)
Restriction of normal speech from Chinese whispered speech based on radial basis function neural network (RBF NN) is proposed in this paper. Firstly, capture the nonlinear mapping of spectral envelope between whispered and normal speech by RBF NN; secondly, modify the spectral envelope of the whispered speech by adopting the trained neural network; finally,(More)
Fatigue is a natural phenomenon which is a kind of self-regulation and protection for human body. Detection fatigue states have positive significance for all occupations now. This paper presents a feature-based parameters and the probabilistic neural network (PNN) speech recognition model to detect fatigue. Through training at different times of voice(More)
A cross-corpus classification of emotional speech on two datasets, Emo-DB in German and DES in Danish is investigated in this paper. 2-D classifications on arousal-appraisal space leads to significant improvement than in one-step classifications. Emotions are better recognized in arousal dimension than in appraisal dimension. The best classification rate in(More)