Artificial Immune System (AIS) is a branch of computational intelligence that has gained increasing interest among researchers in the development of immune-based models and techniques to solve diverse complex computat...
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High-quality software needs to meet both functional and non-functional requirements. In some cases, software must accomplish specific performance requirements, but most of the time, only high-level performance require...
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ISBN:
(纸本)9789898425775
High-quality software needs to meet both functional and non-functional requirements. In some cases, software must accomplish specific performance requirements, but most of the time, only high-level performance requirements are available: it is up to the developer to decide what performance should be expected from each part of the system. In this context, the MARTE profile was proposed by the OMG to extend UML for model-driven development of real-time and embedded systems, focusing on assisting early performance analysis and scheduling. We propose using the MARTE profile to derive the performance requirements of each action in an UML activity diagram from the requirements of the containing activity and some local annotations. In this work, we show how the MARTE profile can be used for this purpose, define algorithms for computing the required throughput and time limit for each action and study their theoretical and empirical performance. The algorithms have been integrated into the Papyrus UML diagram editor and feed back their results into the original model. Running both algorithms on activities with 225 paths requires 10 seconds on average.
Curvelet transform is a new extension of wavelet transform which aims to deal with interesting phenomena occurring along curves. Curvelet transform is particularly a challenging task to classify human organs in CT sca...
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Curvelet transform is a new extension of wavelet transform which aims to deal with interesting phenomena occurring along curves. Curvelet transform is particularly a challenging task to classify human organs in CT scans using gray-level information. An efficient implementation of curvelet transform for medical image segmentation and denoising has been presented in this paper. A comparison study has been carried out in this paper between different transforms which reveals that curvelet transform exhibits optimal representation of the region of interest (ROI) with better accuracy and less noise.
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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