Daru Pan

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—Opportunistic networks are sparse multi-hop ad hoc networks in which nodes exploit any pair-wise contact opportunities to share and forward messages. The main challenge for this environment is that conventional routing schemes do not work properly. Among the existing Opportunistic Networks routing algorithms, the epidemic routing and probabilistic routing(More)
This paper is concerned with the problem of channel estimation for amplify-and-forward (AF) cooperative relay networks with orthogonal frequency division multiplexing (OFDM) modulation. The algorithm is based on both the least square (LS) and minimum mean square error (MMSE) technique with a superimposed training strategy. Specifically, both the source and(More)
As a preprocessing step of chest Computed Tomography (CT) images, lung segmentation is significant for the diagnosis of lung disease. The traditional watershed algorithm is sensitive to the noise and has the drawback of over-segmentation problem. This paper presents a novel image segmentation method to improve Watershed segmentation algorithm with the(More)
Variational functionals such as Mumford-Shah and Chan-Vese methods have a major impact on various areas of image processing. After over 10 years of investigation, they are still in widespread use today. These formulations optimize contours by evolution through gradient descent, which is known for its overdependence on initialization and the tendency to(More)