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With the advancement of cloud computing, there has been a growing interest in exploiting demand-based cloud resources for parallel scientific applications. To satisfy different needs for computing resources, cloud providers provide many different types of virtual machines (VMs) with various numbers of computing cores and amounts of memory. The cost and execution time of a scientific application vary...
Medical devices like the Implantable Cardioverter Defibrillator (ICD) are life-critical systems. Malfunctions of the device can cause serious injury or death of the patient. In addition to rigorous testing and verification during the development process, new medical devices often go through clinical trials to evaluate their safety and performance on sample populations. Clinical trials are costly and...
Advanced devices for embedded and ambient applications represent one of the most compelling classes of electronic systems, but they also impose more severe constraints on system resources than ever before. Although platform non-idealities have always posed a fundamental limitation, the overheads of conventional margining are now reaching intolerable levels. We describe an alternate approach to hardware...
Low-power devices that can detect clinically relevant correlations in physiologically-complex patient signals can enable systems capable of closed-loop response (e.g., controlled actuation of therapeutic stimulators, continuous recording of disease states, etc.). In ultra-low-power platforms, however, hardware error sources are becoming increasingly limiting. In this paper, we present how data-driven...
Visual attention region determination simulates the behavior of the human visual system and determines visual attention regions in an image. In this study, a visual attention region determination approach using low-level features, including luminance, color, and region information, is proposed. First, the contrast map is attained by computing the contrast between each pixel and its ldquothresholdingrdquo...
Human perception tends to firstly pick attended regions which correspond to prominent objects in an image. Visual attention detection simulates the behavior of the human visual system (HVS) and detects the regions of interest (ROIs) in the image. In this study, a new visual attention model containing the texture and object models (parts) is proposed. As compared with existing texture models, the proposed...
In this study, a new image interpolation approach using the visual attention model is proposed. First, the high-quality saliency map of an image to be interpolated is generated in an effective manner. Then based on the saliency map, the bilinear interpolation method and a proposed interpolation method are employed for non-saliency blocks and saliency blocks, respectively, to obtain the final interpolation...
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