The introduction of computing and communications technologies within cars raises a range of novel human-computer interaction (HCI) issues. In particular, it is critical to understand how user-interfaces within cars can best be designed to account for the severe physical, perceptual and cognitive constraints placed on users by the driving context. This chapter introduces the driving situation an...

Cloud Computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. Virtualization technology forms a key concept for new cloud computing architectures. The data centers are used to provide cloud services burdening a significant...

JE A N -F R A N C O IS P O D EV IN (GUIs) that give users direct control and perdictability. These properties provide the user a clear model of what commands and action are possible and what their affects will be; they allow users to have a sense of accomplishment and responsibility about their interactions with computer applications. Although these endeavors have been very successful, and the ...

Feature extraction is a key issue in the image processing and recognition. Especially, in the robot vision, intelligent methods such as human visual system are demanded. As a perceptually motivated image model, the three-component image model has been proposed, which decomposes components corresponding to degrees of the perceptual importance. We pay attention to its effective extraction ability...

The introduction of computing and communications technologies within cars raises a range of novel human-computer interaction (HCI) issues. In particular, it is critical to understand how user-interfaces within cars can best be designed to account for the severe physical, perceptual and cognitive constraints placed on users by the driving context. This article introduces the driving situation an...

Artificial intelligence has led a new round of scientific and technological revolution, robots have become representative product in this era. At present, the development industrial is faster than ever before, it driven continuous breakthroughs weak artificial related industries. Many tasks that used to be done by humans can now With gradual transformation gradually transforming from perceptual...

Abstract In this paper, we propose a supervised single-channel speech enhancement method that combines Kullback-Leibler (KL) divergence-based non-negative matrix factorization (NMF) and hidden Markov model (NMF-HMM). With the integration of HMM, temporal dynamics information signals can be taken into account. This includes training stage an stage. stage, sum Poisson distribution, leading to KL ...