Thread migration is an effective technique for fault resilience and load balancing in high performance computing. However, flexible thread migration is not easy to achieve. In this paper, we present an approach to cre...
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This work presents HRaidTools, an on-line suite of tools for simulating Heterogeneous RAID systems, which includes tools such as a RAID-designer, an I/O synthetic workload generator, a friendly simulation launcher and...
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Graph theory has attracted great attention for the problem of image segmentation in recent years. In this paper we deduce the unified form of the normalized cut (Ncut) algorithm and the Isoperimetric algorithm, and th...
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Grid is the trend of the Internet next generation, which is a new network computing platform after the World Wide Web;It is the integration of the calculation of resources and environment its core is to eliminate Info...
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Digital campus is one important part to the digital earth and Internet of Things. Based on the analysis of the LBS performance, structure, function and the present research status of digital campus we propose a digita...
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Brain-computer interfaces based on steady-state visual evoked potential (SSVEP-BCIs) achieve a high performance due to their multiclass nature in paradigms where gazing is needed. Studies of binary SSVEP-BCIs have bee...
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Brain-computer interfaces based on steady-state visual evoked potential (SSVEP-BCIs) achieve a high performance due to their multiclass nature in paradigms where gazing is needed. Studies of binary SSVEP-BCIs have been presented without the need of gazing at the expense of low performance. This study presents a high performance binary SSVEP-BCI that allows an efficient communication without the need of gazing. The information transmission rate (ITR) obtained was 0.64±0.27 bits per seconds with peaks of 1.16 bits per second and an accuracy of 90±7%, which is an excellent performance for a binary SSVEP-BCI. To achieve this performance two main factors were involved: on the one hand, the use of both amplitude and phase of the SSVEP in the classification and, on the other, the use of the absence of gaze (“thousand-yard stare”) as a way of helping to ignore the stimulus.
E-health and e-monitoring have become an increasingly important area during recent years, being the recognition of motion, postures and physical exercises one of the main topics. In this kind of problem is common to w...
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E-health and e-monitoring have become an increasingly important area during recent years, being the recognition of motion, postures and physical exercises one of the main topics. In this kind of problem is common to work with a huge training data set in a multidimensional space, so feature selection is absolutely necessary. Most works are based on knowledge extraction using features which permit to make decisions about the activity realized, being feature selection the most critical stage. Conventional feature selection procedures based on wrapper methods or `branch and bound' are highly computationally expensive. In this work, we propose an alternative filter method using a feature-set ranking via a couple of two statistical criteria, which achieves remarkable accuracy rates in the classification process. We demonstrate the usefulness of our method on both laboratory and seminaturalistic activity ambient living datasets for real problems.
Matchmaking is the basis of service discovery and composition. Using ontology semantically express the capabilities of services, accurately match, discovery and composition service. Domain ontologies and Formal Concep...
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Stem cells represent a potential source of cells for regeneration, thanks to their ability to renew and differentiate into functional cells of different tissues. The studies and results related to stem cell differenti...
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Inertial sensors are widely used in telerehabilitation systems since they permit to monitor the patient’s movement and determine the position of their limbs. Limbs angle measurement is carried out through the integra...
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