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Computed tomographic (CT) images are widely used in the diagnosis of stroke. In this paper, we present an automated method to detect and classify an abnormality into acute infarct, chronic infarct and hemorrhage at the slice level of non-contrast CT images. The proposed method consists of three main steps: image enhancement, detection of mid-line symmetry(More)
—This paper presents a new unified power-quality conditioning system (MC-UPQC), capable of simultaneous compensation for voltage and current in multibus/multifeeder systems. In this configuration, one shunt voltage-source converter (shunt VSC) and two or more series VSCs exist. The system can be applied to adjacent feeders to compensate for supply-voltage(More)
Invariance is an important aspect in image object recognition. Invariance of the output with respect to certain transformations of the input is a typical example of a priori knowledge. The concept of tangent vectors, which compactly represent the essence of these transformation invariances, and two classes of algorithms " tangent distance " and " tangent(More)
One of the challenges to scale down transistor size is leakage current through gate oxide. This leakage current results from quantum mechanical tunneling of electrons from the gate electrode through the oxide and in to the transistor channel. Instead of maintaining transistor functionality at smaller scales, a new technology called Quantum cellular automata(More)
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