There is a growing use of RGB-D sensors in vision-based robot perception. A reliable 3D object recognition requires the integration of image-driven and model-based analysis. Only then the low-level image-like represen...
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This paper describes an efficient tuning procedure of the Generalized Predictive control (GPC) algorithm. It consists of two stages: at first the sampling period is chosen and next the prediction and control horizons ...
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In this paper, we investigate the problem of detecting correlations among datasets containing malicious data concerned with various types of network attacks and related events of the infections taken from a numerous s...
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In this paper, we investigate the problem of detecting correlations among datasets containing malicious data concerned with various types of network attacks and related events of the infections taken from a numerous sources and organizations. We propose a graph based technique to depict relationships between malicious data based on values of attributes related both to attackers and victims, and referred to different layers of the OSI model. The presented model can be used to fast, automatic identification of malware campaigns. The case study described in the paper demonstrates the performance of our method.
The proposed mechanism of output constraint handling uses a method of output prediction generation, which originates from Model Predictive control (MPC) algorithms and is based on Hammerstein models. Therefore the mec...
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Two methods of prediction improvement in Model Predictive control (MPC) algorithms utilizing fuzzy Hammerstein models are proposed in the paper. The first one consists in iterative adjustment of the prediction, the se...
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This paper addresses the design of iterative learning control laws (ILC) for both trial-to-trial error convergence and along-the-trial performance. It is shown how these control laws can be designed using the theory o...
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This paper addresses the design of iterative learning control laws (ILC) for both trial-to-trial error convergence and along-the-trial performance. It is shown how these control laws can be designed using the theory of discrete linear repetitive processes in combination with a guaranteed cost control approach. The parameterization of the controllers is performed by the solution of linear matrix inequalities (LMIs). The paper is concluded with experimental results for the position control of a Permanent Magnet Synchronous Motor (PMSM).
The paper considers nonlinear 2D continuous-time systems described by a statespace model of the Roesser form and nonlinear differential repetitive process. The property of exponential dissipativity is introduced and t...
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This paper presents a database of iris images collected from disease affected eyes and an analysis related to the influence of ocular diseases on iris recognition reliability. For that purpose we have collected a data...
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This paper presents a database of iris images collected from disease affected eyes and an analysis related to the influence of ocular diseases on iris recognition reliability. For that purpose we have collected a database of iris images acquired for 91 different eyes during routine ophthalmology visits. This collection gathers samples for healthy eyes as well as those with various eye pathologies, including cataract, acute glaucoma, posterior and anterior synechiae, retinal detachment, rubeosis iridis, corneal vascularization, corneal grafting, iris damage and atrophy and corneal ulcers, haze or opacities. To our best knowledge this is the first database of such kind that will be made publicly available. In the analysis the data were divided into five groups of samples presenting similar anticipated impact on iris recognition: 1) healthy (no impact), 2) unaffected, clear iris (although the illness was detected), 3) geometrically distorted irides, 4) distorted iris tissue and 5) obstructed iris tissue. Three different iris recognition methods (MIRLIN, VeriEye and OSIRIS) were then used to find differences in average genuine and impostor comparison scores calculated for healthy eyes and those impacted by a disease. Specifically, we obtained significantly worse genuine comparison scores for all iris matchers and all disease-affected eyes when compared to a group of healthy eyes, what have a high potential of impacting false non-match rate.
The aim of this work is to determine how vulnerable different iris coding methods are in relation to biometric template aging phenomenon. This is considered to be particularly important when the time lapse between gal...
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The aim of this work is to determine how vulnerable different iris coding methods are in relation to biometric template aging phenomenon. This is considered to be particularly important when the time lapse between gallery and probe samples extends significantly, to more than a few years. Our experiments employ iris aging analysis conducted using three different iris recognition algorithms and a database of 583 samples from 58 irises collected up to nine years apart. To determine the degradation rates of similarity scores with extending time lapse and also in relation to multiple image quality and geometrical factors of sample images, a linear regression analysis was performed. 29 regression models have been tested with both the time parameter and geometrical factors being statistically significant in every model. Quality measures that showed statistically significant influence on the predicted variable were, depending on the method, image sharpness and local contrast or their mutual relations. To our best knowledge, this is the first paper describing aging analysis using multiple regression models with data covering such a wide time period. Results presented suggest that template aging effect occurs in iris biometrics to a statistically significant extent. Image quality and geometrical factors may contribute to the degradation of similarity score. However, the estimate of time parameter showed statistical significance and similar value in each of the tested models. This reveals that the aging phenomenon may as well be unrelated to quality and geometrical measures of the image.
The subject of this paper is a two-wheeled balancing robot with the center of mass above its wheels. Two control strategies for this robot are analyzed. The first one combines a kinematic model of the robot and a PI c...
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ISBN:
(纸本)9781479987023
The subject of this paper is a two-wheeled balancing robot with the center of mass above its wheels. Two control strategies for this robot are analyzed. The first one combines a kinematic model of the robot and a PI controller. The second one is a cascade of two PIDs. These strategies are compared experimentally.
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