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Tourette syndrome (TS) is characterized by multiple motor and phonic tics. Repetitive transcranial magnetic stimulation (rTMS) targeting the supplemental motor area (SMA) can reduce tic severity. Here, we investigated whether 1 Hz rTMS targeted to the SMA could improve symptoms in children with TS. Twenty-five children with TS (aged under 16 years) received(More)
An accurate and highly-efficient performance analysis approach is extremely important for the early-stage designs of network-on-chip. In this paper, the novel M/G/I/N queuing models for generic routers are proposed to analyze various packet blockings and then the performance analysis algorithm is presented to estimate some key metrics in terms of packet(More)
Virtual machine technology is rapidly emerging as an important component of future computer systems. Full virtualization with dynamic binary translation outperforms paravirtualization and hardware assisted virtualization in x86 CPU virtualization. Previous full virtualization techniques are implemented in software without any hardware assist. In this paper,(More)
—Network virtualization has been proposed as a powerful vehicle for running multiple customized networks on a shared infrastructure. Virtual network embedding is a critical step for network virtualization that deals with efficient mapping of virtual nodes and virtual links onto the substrate network resources. Previous work in virtual network embedding(More)
The market for cloud backup services in the personal computing environment is growing due to large volumes of valuable personal and corporate data being stored on desktops, laptops and smart phones. Source deduplication has become a mainstay of cloud backup that saves network bandwidth and reduces storage space. However, there are two challenges facing(More)
Although semantic-based composition approaches have brought some comprehensive advantages such as higher precisions and recalls, they are far from the real practice and hard to be applied in real-world applications due to the several challenging issues such as performance issues of time-consuming ontology reasoning, exponentially expanded searching time in(More)
Spatial applications will gain high complexity as the volume of spatial data increases rapidly. A suitable data processing and computing infrastructure for spatial applications needs to be established. Over the past decade, grid has become a powerful computing environment for data intensive and computing intensive applications. Integrating grid computing(More)
Within data grid environments, data replication is a general mechanism to improve performance and availability for distributed applications. However, it is a challenging problem to find the physical locations of multiple replicas of desired data efficiently in large-scale wide area data grid systems. In this paper, we proposed a new dynamic self-adaptive(More)