Yakun Hu

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In this paper, we address the speech-based gender identification problem. Mel-Frequency Cepstral Coefficients (MFCC) of voice samples are typically used as the features for gender identification. However, MFCC-based classification incurs high complexity. This paper proposes a novel pitch-based gender identification system with a two-stage classifier to(More)
In this paper, we address the problem of large population speaker identification under noisy conditions. Major techniques for speaker identification is based on Mel-Frequency Cepstral Coefficients (MFCC), Gaussian Mixture Model (GMM) and Universal Background Model (UBM) which we call MFCC+GMM and MFCC+GMM+UBM. The approaches are known to perform very well(More)
Context-Aware Recommender System (CARS) aims to not only recommend services similar to those already rated with the highest score, but also provide opportunities for exploring the important role of temporal, spatial and social contexts for personalized web services recommendation. A key step for temporal-based CARS methods is to explore the time decay(More)
Genome-wide association studies (GWAS) on sporadic Parkinson’s disease (sPD) are mainly conducted in European and American populations at present, and the Han populations of Chinese mainland (HPCM) almost have not been studied yet. Here, we conducted a pooling GWAS combining a pathway analysis with 862,198 autosomal single nucleotide polymorphisms of(More)
Context-Aware Recommender System aims to recommend items not only similar to those already rated with the highest score, but also that could combine the contextual information with the recommendation process. Existing context-aware Web services recommendation methods directly use context as a "filter" to discard services that may conflict with the current(More)
In this paper, we propose a novel ubiquitous Web service recommendation approach to context-aware recommendation based on user location update (CASR-ULU). First, we model the influence of user location update based on user preference expansion. Second, we perform the context-aware similarity mining for updated location. Third, we predict the Quality of(More)
This paper studies security and anti-interference mechanisms in the scenario of multiple WPANs (wireless personal area network) accessing into a HAN (home area network). The WPAN ID authentication is defined to prevent personal devices of non-HAN members from accessing into the WPAN. Different WPANs can be distinguished by allocating different UDS(More)
2 To my beloved parents and dear husband 3 ACKNOWLEDGMENTS First of all, my special gratitude goes to my advisor, Professor Dapeng Oliver Wu, for his great inspiration and excellent guidance throughout this dissertation and my Ph.D. education at UFL. His enthusiasm and deep thoughts spark my interest in academic research. I am grateful to him for his(More)
Besides the great help in technical aspects, Dr. Wu also taught me the importance of communicating ideas with people and provided me chances of presenting works in academic conferences and interacting with the people from industry. The great vision of Dr. Fang in the field of queueing theory and the Smart Grid has contributed and inspired many of my(More)