During computer numerical control (CNC) machining, interference and collisions can occur due to discrepancies between simulations and actual operating conditions, which can result in time loss and increased costs. The...
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In this paper, we consider the problem of sampling signals that are nonband-limited but have finite number of degrees of freedom per unit of time and call this number the rate of innovation. Streams of Diracs and piec...
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In this paper, we consider the problem of sampling signals that are nonband-limited but have finite number of degrees of freedom per unit of time and call this number the rate of innovation. Streams of Diracs and piecewise polynomials are the examples of such signals, and thus are known as signals with finite rate of innovation (FRI). We know that the classical ("band-limited sinc") sampling theory does not enable perfect reconstruction of such signals from their samples since they are not band-limited. However, the recent results on FRI sampling suggest that it is possible to sample and perfectly reconstruct such nonband-limited signals using a rich class of kernels. In this paper, we extend those results in higher dimensions using compactly supported kernels that reproduce polynomials (satisfy Strang-Fix conditions). In fact,the polynomial reproduction property of the kernel makes it possible to obtain the continuous moments of the signal from its samples. Using these moments and the annihilating filter method (Prony's method), the innovative part of the signal, and therefore, the signal itself is perfectly reconstructed. In particular, we present local (directional-derivatives-based) and global (complex-moments-based, Radon-transform-based) sampling schemes for classes of FRI signals such as sets of Diracs, bilevel, and planar polygons, quadrature domains (e.g., circles, ellipses, and cardioids), 2-D polynomials with polygonal boundaries, and n-dimensional Diracs and convex polytopes. This work has been explored in a promising way in super-resolution algorithms and distributed compression, and might find its applications in photogrammetry, computer graphics, and machine vision.
The objective is the design of a software capable of carrying out an analysis of a musical score, not in keeping with the precepts of an a priori musical theory, but on the contrary as autonomously and neutrally as po...
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This article proposes a new architecture of a technical vision system for unmanned aerial vehicles (UAVs) based on the integration of several smartphones running the Android operating system. Smartphones are used as s...
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Moving from one location to another is one of the biggest issues that visually impaired individuals have. For these folks, walking canes that are readily accessible solely act as obstacle sensors. Long overdue is the ...
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Knowing the strain response of materials in strength tests is one of the main issues in construction and engineering fields. In these tests, information about displacements and strains is usually carried out using phy...
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ISBN:
(纸本)9783642213267
Knowing the strain response of materials in strength tests is one of the main issues in construction and engineering fields. In these tests, information about displacements and strains is usually carried out using physical devices attached to the material. In this paper, the suitability of computervision techniques to analyse strength tests without interfering with the assay is discussed and a new technique is proposed. This technique measures displacements and deformations from a video sequence of the assay. With this purpose a Block-Matching Optical Flow algorithm is integrated with a calibration process to extract the vectorfield from the displacement in the material. To evaluate the proposed technique, a synthetic image set and a real sequence from a strength tests were analysed.
This volume constitutes the refereed proceedings of the Second internationalconference on Computational Intelligence, Security and Internet of Things, ICCISIoT 2019, held in Agartala, India, in Decembe...
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ISBN:
(数字)9789811536663
ISBN:
(纸本)9789811536656
This volume constitutes the refereed proceedings of the Second internationalconference on Computational Intelligence, Security and Internet of Things, ICCISIoT 2019, held in Agartala, India, in December 2019.;The 31 full papers and 6 short papers were carefully reviewed and selected from 153 submissions. The papers are organised according to the following topics: Computational Intelligence, Security, Internet of Things. Papers from the extended track are also presented in the volume.
This article is basically targeted for the advanced university and college undergraduate and graduate students of physics and chemistry education, computational physics and chemistry, and computer science. Here, we em...
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ISBN:
(纸本)9781605589183
This article is basically targeted for the advanced university and college undergraduate and graduate students of physics and chemistry education, computational physics and chemistry, and computer science. Here, we employed Microsoft Excel software system to perform computer simulations for modeling Bohr's theory of hydrogen atom in college and university classroom setting. We developed necessary computer algorithm to compute discrete values of orbit radius, energy levels and ionization potential of Bohr's hydrogen atom.
Stereo vision is a computationally expensive process that limits accurate real time performance. However, this is usually due to large resolutions in high end cameras. When low cost web cameras are exchanged for high ...
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作者：
Novak, VilemUniv Ostrava
Inst Res & Applicat Fuzzy Modeling 30 Dubna 22 Ostrava 70103 1 Czech Republic
In the paper, we will briefly present basics of formal theory of the meaning of evaluative linguistic expressions, linguistic descriptions, and perception-based logical deduction. Furthermore, we will present various ...
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ISBN:
(纸本)9789814324694
In the paper, we will briefly present basics of formal theory of the meaning of evaluative linguistic expressions, linguistic descriptions, and perception-based logical deduction. Furthermore, we will present various kinds of applications based on this theory, namely control of complex processes, managerial decision making, analysis, forecasting and evaluation of time series, and mining linguistic associations.
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