Efficient CAD-based triangulation of unordered 3D data

Abstract. The paper proposes a new method for efficient triangulation of large, unordered sets of 3D points using a CAD model comprising NURBS entities. It is primarily aimed at engineering applications involving analysis and visualisation of measured data, such as inspection, where a model of the object in question is available. Registration of the data to the model is the necessary first step, enabling the triangulation to be efficiently performed in 2D, on the projections of the measured points onto the model entities. The derived connectivity is then applied to the original 3D data. Improvement of the generated 3D mesh is often necessary, involving mesh smoothing, constraint-based elimination of redundant triangles and merging of mesh patches. Examples involving random measurements on aerospace and automotive free-form components are presented. Received: 30 August 1999 / Accepted: 10 January 2000     

Improvement of visual perceptual capabilities by feedback structures for robotic system FRIEND

The main aim behind the design of rehabilitation robotic systems is to support disabled people in daily life situations as well as in the working environment. This requires the autonomous execution of different tasks. In order to achieve the ability of the robotic system to operate autonomously, the sensor system for the scene observation providing the necessary inputs for the manipulator control is essential. In this paper, the main emphasis is on the development and integration of the closed-loop controls at the visual sensory input level in order to increase the robustness of the vision-based system control. Moreover, the integration of additional sensors in order to support the vision system and to increase the reliability of the whole robotic system is discussed.     

A design of waveguide collimating lenses in the presence ofanisotropic aberrations

Anisotropic aberration correction is discussed on the basis of the extraordinary-ray ray-tracing method. Two closed analytical forms of anisotropic-aberration-free profiles are derived. The two profiles are referred to as pseudoelliptic and pseudohyperbolic, and a comparison is made between the two surfaces. The latter profiles are aberration-free in an isotropic medium. A design limit in the aperture angle is investigated. The relationship between the aperture and the energy reflection coefficient is investigated using the Fresnel formula. The pseudo-hyperbolic surface has a lower energy reflection coefficient in focusing and the pseudo-elliptic surface has a lower energy reflection coefficient in collimating     

Modified track membranes with antibacterial properties

Microbiological contamination of polymeric membranes in the process of their exploitation is an essential problem of membrane technology. It results in the increase of manufacturing costs, destruction of membranes, operating life reduction and secondary contamination of water by the metabolism products of microorganisms. For the purpose of reduction of membrane biofouling and biodegradation investigation of adsorption of the guanidine containing oligomers on the surface of PET track membranes was conducted and their influence on the selectivity and antibacterial properties of the membranes was investigated. It was established that modified membranes have substantially higher resistance to biofouling.     

A lateral magnetotransistor structure with a linear response to themagnetic field

An experimental study and analytical model of a novel magnetotransistor are presented. This device displays some very promising features. A linear response to the magnetic field is experimentally demonstrated and very high sensitivities are measured, on the order of 3000%/T. Previous comparable magnetotransistors have reported sensitivities on the order of 150%/T. A theoretical explanation of the very high sensitivity is proposed, involving carrier deflection as the dominant operating principle     

Bayesian Multi-Object Filtering With Amplitude Feature Likelihood for Unknown Object SNR

In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multiple-target state estimation by obtaining more accurate target and false-alarm likelihoods. Target amplitude feature is well known to improve data association in conventional tracking filters, such as probabilistic data association and multiple hypothesis tracking, and results in better tracking performance of low signal-to-noise ratio (SNR) targets. The advantage of using the target amplitude approach is that targets can be identified earlier through the enhanced discrimination between target and false alarms. One of the limitations of this approach is that it is usually assumed that the SNR of the target is known. We show that the reliable estimation of the SNR requires a significant number of measurements, and so we propose an alternative approach for situations where the SNR is unknown. We illustrate this approach in the context of multiple targets for different SNRs in the framework of finite set statistics (FISST). Furthermore, we illustrate how this can be incorporated into approximate multiple-object filters derived from FISST, including probability hypothesis density (PHD) and cardinalized PHD (CPHD) filters. We present simulation results for Gaussian mixture implementations of the filters that demonstrate a significant improvement in performance over just using location measurements.     

Mathematical model of gentamicin sulfate release from a bioactive textile material as a transdermal system under in vitro conditions

A mathematical model was developed to estimate the release of gentamicin sulfate from a bioactive textile material as a transdermal system for wound dressing. The gentamicin sulfate released from the antibiotic/chitosan hydrogel complexes was measured in vitro by the Franz diffusion cell technique. The diffusive transport of gentamicin sulfate through three connected compartments, that is, chitosan hydrogel, membrane, and solution, was considered by the formulation of a model based on Fick's second law. Initially, the total amount of gentamicin sulfate was placed within an already swollen chitosan hydrogel. The value of the diffusivity coefficient of the drug through the chitosan hydrogel was calculated for every initial amount of the active substance. For the initial concentration of gentamicin sulfate, which was lower than 2.81 × 10⁴ μg/mL, the diffusion coefficient was approximately constant. A higher amount of gentamicin sulfate in the hydrogel reduced its own transport as a consequence of an increase in the intensity of the interaction field between the molecules of gentamicin sulfate. The model provides the possibility of optimizing the process of drug release by ensuring a compromise between a higher value of the diffusivity coefficient and a desirable amount of gentamicin sulfate and a constant concentration within the solution over 48 h. © 2010 Wiley Periodicals, Inc. J Appl Polym Sci, 2010     

Evolution of the microstructure of disperse Zinc-oxide during tribophysical activation

The process of macro- and microstructural transformations of zinc-oxide powders, which were tribophysically activated by grinding in a vibro-mill was investigated using methods of transmission electron microscopy, infrared spectroscopy and X-ray. It is shown that tribophysical activation contributes to a gradual modification of the fine defect structure of zinc-oxide powders. In the starting stage agglomerates and bigger, longer particles are destroyed first of all. As a result of the formation of both volume and surface defects and changes of the character of interparticles interactions the plate-like polycrystal particles are created. They actually present sets of coherent scattering region.     

A comparison of two Crame/spl acute/r-Rao bounds for nonlinear filtering with P/sub d/<1

The paper presents a comparative study of two recently reported Crame/spl acute/r-Rao lower bounds (CRLBs) for nonlinear filtering, both applicable when the probability of detection is less than unity. The first bound is the information reduction factor CRLB; the second is the enumeration method CRLB. The enumeration method is accurate but computationally expensive. We prove in the paper that the information reduction factor bound is overoptimistic, being always less than the enumeration CRLB. The theory is illustrated by two target tracking applications: ballistic object tracking and bearings-only tracking. The simulations studies confirm the theory and reveal that the information reduction factor CRLB rapidly approaches the enumeration CRLB as the scan number increases.