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In this paper, the problem of robust sliding mode control is studied for a class of discrete delayed nonlinear systems subject to randomly varying nonlinearities (RVNs) under uncertain occurrence probability. Here, the time-varying delay is bounded with known upper and lower bounds. The RVNs under uncertain occurrence probability are characterized by utilizing a Bernoulli distributed random variable,...
Image registration for stack-based HDR photography is challenging. If not properly accounted for, camera motion and scene changes result in artifacts in the composite image. Unfortunately, existing methods to address this problem are either accurate, but too slow for mobile devices, or fast, but prone to failing. We propose a method that fills this void: our approach is extremely fast—under 700ms...
In this paper, we design the robust H∞ sliding mode controller for a class of time-delay nonlinear systems subject to randomly occurring uncertainties, external disturbance as well as packet losses. The uncertainties addressed satisfy the norm bounded condition and the time-delay is time-varying with known bounds. The state data of the system are firstly constructed based on the known packet loss...
We address certain properties that arise in gigapixel-scale image stitching for snapshot images captured with a novel micro-camera array system, AWARE-2. This system features a greatly extended field of view and high optical resolution, offering unique sensing capabilities for a host of important applications. However, three simultaneously arising conditions pose a challenge to existing approaches...
Given a video sequence about the road scenarios, discovering the foreground objects and labeling them are crucial. This paper proposes to represent the foreground objects in videos by the bag of words model. The foreground object is treated as a positive document which is a set oi image patches, and the background region is a negative document. Initially the training image patches are sampled and...
Due to the steady evolution and increase in sophistication of peer to peer botnets, it is necessary to understand the structural potential in this type of intruder tool. We formally model the P2P botnets with the help of complex systems. We propose metrics to measure the structural potential of different types of P2P botnets. We also propose a simulative framework to investigate the robustness of...
Future network intruders are constantly changing, improving and extending the capabilities of their botnets. Peer to peer bots are now under widespread development and are quickly evolving into a much tougher species to kill. However, partly due to the lack of understanding of the structural potential of command and control mechanism a botnets can have, countering peer to peer botnets has been ineffective...
In order to more accurately evaluate a robust image watermarking scheme, formulas of calculating capacity and robustness of the scheme are proposed in this paper. Firstly, non-blind robust image watermarking scheme is discussed. Based on the scheme model built in spatial domain, the formulas of calculating capacity and robustnessare drawn in detail. Then the models and capacity and robustness formulas...
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