Robust vibration control of critical flexible modes in flexible mechanical structures is crucial for synergistic integration of R&D and manufacturing of modern mechatronic systems. In this paper, an adaptive non-m...
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Optical flow is a vector which represents the motion of objects in images. In this paper, new methods for dense and quasi-dense optical flow estimation are proposed. The dense estimation method can be applied to optic...
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This paper presents methods for automatic generation of synthesizable models of Transducer, a highly flexible communication module for interfacing multicore system components. We describe the transducer architecture, ...
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We examine the effect of transmit antenna selection on the secondary user (SU) and primary user (PU) capacity in a multiple-input single-output cognitive radio system. We consider antenna selection with the aim of imp...
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A stub-loaded dual-mode ring resonator is proposed to design a millimeter-wave bandpass filter using 0.18-μm CMOS Technology. By increasing the length of the open-circuited stub at the inner corner of the ring resona...
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The current research leverages a nanotechnology enabled sensor platform for highly sensitive detection of pharmaceuticals contaminants in water samples using electrochemical impedance spectroscopy. The sensor surface ...
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As electroencephalography (EEG) signals contain sensitive personal health information, it is generally a legal requirement to prevent their unauthorized access. For example, the HIPAA in the US requires that access to...
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Robust control problems for nonlinear systems are usually formulated as L2-induced norm minimization problems and it is known that those problems are reduced to the solvability of Hamilton-Jacobi equations. However, i...
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3D volume segmentation aims at partitioning the voxels into 3D objects (sub-volumes) which represent meaningful physical entities. Multi-resolution analysis (MRA) allows for the preservation of an image according to c...
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3D volume segmentation aims at partitioning the voxels into 3D objects (sub-volumes) which represent meaningful physical entities. Multi-resolution analysis (MRA) allows for the preservation of an image according to certain levels of resolution or blurring. The quality of this approach makes it useful in image compression, de-noising, and classification or segmentation. This paper focuses on the implementation of a medical volume segmentation technique using different wavelet decompositions such as discrete wavelet transform (DWT) and discrete wavelet packet transform (WP). A comparison study has been carried out to evaluate both decompositions using different performance metrics such as Euclidean distance (ED) and dice similarity coefficients (DSC) which reveal that WP approaches can accurately detect the perform the details coefficients in both phantom and real data.
A fully automated unsupervised image segmentation method using Hidden Markov Models (HMMs) is proposed to segment medical volumes. The application of this system to medical volumes has been evaluated using NEMA IE bod...
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A fully automated unsupervised image segmentation method using Hidden Markov Models (HMMs) is proposed to segment medical volumes. The application of this system to medical volumes has been evaluated using NEMA IE body phantom and a comparison study has been carried out to evaluate HMM and other segmentation techniques which reveal that HMM delivers promising results in terms of accurate region of interest detection. Computational time is the main issue to tackle in HMMs, a solution has been proposed and evaluated with respect to the effects of the accelerators on the system accuracy.
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