25 research outputs found

    Neural Network Algorithm for Intercepting Targets Moving Along Known Trajectories by a Dubins' Car

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    The task of intercepting a target moving along a rectilinear or circular trajectory by a Dubins' car is formulated as a time-optimal control problem with an arbitrary direction of the car's velocity at the interception moment. To solve this problem and to synthesize interception trajectories, neural network methods of unsupervised learning based on the Deep Deterministic Policy Gradient algorithm are used. The analysis of the obtained control laws and interception trajectories in comparison with the analytical solutions of the interception problem is performed. The mathematical modeling for the parameters of the target movement that the neural network had not seen before during training is carried out. Model experiments are conducted to test the stability of the neural solution. The effectiveness of using neural network methods for the synthesis of interception trajectories for given classes of target movements is shown

    Adaptive total variation deringing method for image interpolation

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    ABSTRACT This paper presents a new adaptive post-processing algorithm for ringing artifact reduction after image interpolation (upsampling). The algorithm is based on the concept of total variation (TV) for ringing control. It uses known TV of the blocks of the low-resolution image. Conditional gradient, subgradient and projection subgradient methods for this algorithm are considered and analyzed. A test set of 181300 overlapping 11x11 blocks of real images was used for local algorithm optimization and analysis. Local conditional gradient method shows the best objective and subjective results

    Fast Super-Resolution from video data using optical flow estimation

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    Abstract Regularization-based and a fast non-iterative methods using optical flow estimation are suggested for video data super-resolution with correction of nonuniform illumination

    An Efficient Approach of Infrastructure Processing Visualization Within Cloud Computing Platform

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    AbstractThis paper presents a tool for visualization of the executed processes upon the infrastructure of the cloud computing platform CLAVIRE. Such class of tools is extremely important for the cloud platform developers and the end users, because it gives extensional opportunities for platform processes analyzing by providing interactive mechanisms to supervise over distributed infrastructure networks. The core principles are based on visualization of computational resources’ detailed interactions within geographically distributed platform. Our goal was to make a visualization provision tool for more effective understanding, monitoring and managing infrastructure with easy-to-use interface especially for the users who do not have enough technical background to efficiently organize their interoperability with the infrastructure level of the platform CLAVIRE. To manage with this issue, we developed a client-based application that includes a special algorithm based on force-directed graph layout, which is able to represent all aforementioned information on clear and understandable level

    MORPHOTYPIC COMPOSITION AND DIFENOCONAZOLE SENSITIVITY OF APPLE SCAB PATHOGEN POPULATIONS THAT DIFFER IN THE HISTORY OF FUNGICIDE APPLICATION

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    Scab is one of the most harmful diseases of the world's main fruit crop, the apple tree. Purpose. To evaluate the fungicide influence on the population structure of Venturia inaequalis, by its sensitivity to difenoconazole and morphotypic composition. Materials and methods. The study was conducted on 88 monospore isolates isolated from two populations of V. inaequalis. The baseline population, which was not treated with fungicides, was selected from natural populations of Malus orientalis. A population of commercial apple orchards was treated with difenoconazole. The sensitivity of isolates was evaluated under laboratory conditions by mycelial growth at different fungicide concentrations and expressed as effective 50% concentration (EC50). Morphotypes were distinguished by comparing photo-images of isolates with morphotype images in a database. Results. The populations differed in their sensitivity to difenoconazole at a high level of significance (p≤0.003), with median EC50 values of 0.5 and 2.5 mg a.i./l. The resistance factor of the orchard population had a value of 22. Morphological analysis of the isolates also showed an uneven distribution of morphotypes in the populations. Of the 15 morphotypes isolated, 73 % were unique to a particular population. A medium positive correlation between the traits "morphotype" and "fungicide sensitivity" was found. Conclusion. For the first time, a change in the population structure of Venturia inaequalis under the influence of a fungicide was shown not only for a trait under selection pressure (sensitivity), but also for an evolutionarily neutral trait, morphotypic composition

    Abstract Image Interpolation by Super-Resolution

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    Term “super-resolution ” is typically used for a high-resolution image produced from several low-resolution noisy observations. In this paper, we consider the problem of high-quality interpolation of a single noise-free image. Several aspects of the corresponding super-resolution algorithm are investigated: choice of regularization term, dependence of the result on initial approximation, convergence speed, and heuristics to facilitate convergence and improve the visual quality of the resulting image

    Abstract Post-processing by Total Variation Quasi-solution Method for Image Interpolation

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    Image restoration is one of classical inverse problems in image processing and computer vision, which consists of the recovering information about the original image from incomplete or degraded data. In this paper, we consider the problem of reduction of ringing that appears after image resampling. We introduce a novel method for image restoration, based on a quasi-solution method for a compact set of functions with bounded total variation. It is an alternative approach to using a total variation functional as a stabilizer in Tikhonov regularization, and it does not oversmooth or displace edges
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