Grey multiple attribute fusion method is put forward in this paper and applied to condenser fault recognition in which grey relation analysis is combined with multiple attribute decision making. First the state parame...
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This paper studies the real-time adaptive and repetitive control problem using the Desired Compensation Learning Law (DCLL) that has the advantage of robustness under the presence of unknown parameters with low memory...
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We present an effective optimization framework to compute polycube mapping. Composed of a set of small cubes, a polycube well approximates the geometry of the free-form model yet possesses great regularity;therefore, ...
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A passive image steganalysis method is proposed to universally detect spatial-domain steganography schemes. It is shown to have better performance than universal steganalyzers known to be powerful in spatial domain, i...
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ISBN:
(纸本)9780980326741
A passive image steganalysis method is proposed to universally detect spatial-domain steganography schemes. It is shown to have better performance than universal steganalyzers known to be powerful in spatial domain, including the WFLogSv and the WAM methods. This level of accuracy is the result of improving the WFLogSv steganalyzer by considering a more comprehensive relationship between the singular values of each image block and the linear correlation of the rows and the columns. That is, instead of the closeness of the lower singular values to zero, the energy distribution of the singular values is investigated. An innovative measure is proposed for this investigation, which is inspired from arithmetic mean-geometric mean inequality. Experimental results confirm the supremacy of the proposed steganalysis scheme over its counterparts.
A passive universal image steganalysis method is proposed that is shown to be of higher detection accuracy than existing truly blind steganalysis methods including Farid's and the WAM. This is achieved by improvin...
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We introduce slow-light enhanced absorption switches in subwavelength metal-dielectric-metal plasmonic waveguides. Both decent modulation depth and moderate insertion loss can be achieved in such switches by small ind...
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In automatic sleep stage classification, as in any other signal processing task involving the easily contaminated EEG signals, denoising constitutes a crucial pre-processing step that must be addressed before carrying...
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In this paper, we present an approach, inspired by human behavior, in predicting the state of a high speed object based on the state of another object that causes such a high speed, e.g. predicting the state of a high...
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ISBN:
(纸本)9781457721366
In this paper, we present an approach, inspired by human behavior, in predicting the state of a high speed object based on the state of another object that causes such a high speed, e.g. predicting the state of a high speed puck which is hit by a lower speed paddle in the air hockey game. The proposed approach eliminates the need for high speed sensors, such as high speed cameras and grabbers, for capturing and processing high speed motions. This approach has been implemented and tested on an air hockey simulator and in real images taken by an off-the-shelf camera. The results show that the low speed of a paddle in the air hockey can be easily captured by an off-the-shelf camera and then the state of the puck, which is the speed and its pose, after being hit by the paddle can be calculated.
Abstract We consider a game played between a hider, who hides a static object in one of several possible positions in a bounded planar region, and a searcher, who wishes to reach the object by querying sensors placed ...
Abstract We consider a game played between a hider, who hides a static object in one of several possible positions in a bounded planar region, and a searcher, who wishes to reach the object by querying sensors placed in the plane. The searcher is a mobile agent, and whenever it physically visits a sensor, the sensor returns a random direction, corresponding to a half-plane in which the hidden object is located. We first present a novel search heuristic and characterize bounds on the expected distance covered before reaching the object. Next, we model this game as a large-dimensional zero-sum dynamic game and we apply a recently introduced randomized sampling technique that provides a probabilistic level of security to the hider. We observe that, when the randomized sampling approach is only allowed to select a very small number of samples, the cost of the heuristic is comparable to the security level provided by the randomized procedure. However, as we allow the number of samples to increase, the randomized procedure provides a higher probabilistic security level.
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