The use of computer graphics in many areas allows a real object to be transformed into a three-dimensional computer model (3D) by developing tools to improve the visualization of two-dimensional (2D) and 3D data from series of data point. The tools involved the representation of 2D and 3D primitive entities and parameterization method using B-spline interpolation. However, there is no parameterization method which can handle all types of data points such as collinear data points and large distance of two consecutive data points. Therefore, this paper presents a new parameterization method that is able to solve those drawbacks by visualizing the 2D primitive entity of scanned data point of a real object and construct 3D computer model. The new method has improved a hybrid method by introducing exponential parameterization method in the beginning of the reconstruction process, followed by computing B-spline basis function to find maximum value of the function. The improvement includes solving a linear system of the B-spline basis function using numerical method. Improper selection of the parameterization method may lead to the singularity matrix of the system linear equations. The experimental result on different datasets show that the proposed method performs better in constructing the collinear and two consecutive data points compared to few parameterization methods.

/pdf/parameterization-method-on-b-spline-curve-52lnrguqe4.pdf

Parameterization Method on B-Spline Curve

This paper presents a new approach for object reconstruction by means of smooth NURBS curves and surfaces. Compared to the common object reconstruction algorithms that first, fit a curve or surface to a dataset and then, try to make it smooth in a post-processing fairing stage, this article proposes to apply the fitting and fairing procedures simultaneously to achieve desirable results. In the integrated fitting and fairing approach, the respective fitting and fairing objectives are met in a multi-objective optimization process. In the developed methodology, the structure of the reconstructed curves and surfaces (e.g. the arrangement of the knot vectors and location of control points) is optimized in such a way that the desired fairness will be locally achieved in every segment of the reconstructed object. The functionality of the developed method is investigated by some industrial case studies.

An integrated fitting and fairing approach for object reconstruction using smooth NURBS curves and surfaces

In industry, damaged parts are difficult to be replaced. Remanufacturing is a technique that gives a new life to a product. However, remanufacturing of a complex damaged part with various defects is not easy to develop and mostly a single process. In this paper, a hybrid method is proposed which integrates coordinate measuring machine (CMM) data collection, defective model regeneration, and decision making for process selection for the repair, such as materials addition with 3D printing or material removal with machining. The proposed method is demonstrated to repair a turbine blade virtual model to test its efficiency and reliability.

Algorithm for remanufacturing of damaged parts with hybrid 3D printing and machining process

In this study, we propose an alternative solution for Bezier curve fitting with Differential Evolution (DE) algorithm. DE algorithm is conducted by randomly generating the control points of the Bezier curve. These generated control points are used to calculate the Bezier curve point. The fitness function of DE algorithm is computed to search for the minimum error. From the experiments, we found that the results of our proposed method achieve the minimum error value significantly.

http://gmm.fsksm.utm.my/~mariyam/PUBLISHED_PAPERS_DRCTM/YEAR%20%202010/Priza_2010.pdf

Differential Evolution Optimization for Bezier Curve Fitting

Machine-tool settings driven high-order topology optimization to grinding tooth flank by considering loaded tooth contact pattern for spiral bevel gears

Surface reconstruction from sets of cross-sectional data is important in a variety of applications The problem of generating a ship hull surface from non-regular cross-sectional curves is addressed Generating non-uniform rational B-splines (NURBS) surfaces that represent cross-sectional curves is a challenge, since the number of control points is growing due to the non-avoidable process of having compatible cross-sectional curves A new NURBS parameterization method that yields a minimum number of control points, and is adequate in generating a smooth and fair NURBS surface for ship hulls is proposed This method allows for multiple knots and close domain knots The results of applying different parameterization methods on the forward perpendicular (FP) region of a ship hull (organized in eight sections) shows that the proposed method reduces the number of control points and generates a smooth and fair NURBS surface, without sacrificing the original object shape of the FP region

http://gmm.fsksm.utm.my/~mariyam/PUBLISHED_PAPERS_DRCTM/YEAR_2006/NURBS_2006.pdf

NURBS skinning surface for ship hull design based on new parameterization method

Mycosynthesis of nanoparticle (NP) production is a potential ecofriendly technology for large scale production. In the present study, copper oxide nanoparticles (CuONPs) have been synthesized from the live cell filtrate of the fungus Penicillium chrysogenum. The created CuONPs were characterized via several techniques, namely Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), transmission electron microscope (TEM), scanning electron microscope (SEM), and energy-dispersive X-ray spectroscopy (EDX). Furthermore, the biosynthesized CuONPs were performed against biofilm forming Klebsiella oxytoca ATCC 51,983, Escherichia coli ATCC 35,218, Staphylococcus aureus ATCC 25,923, and Bacillus cereus ATCC 11,778. The anti-bacterial activity result was shown with the zone of inhibition determined to be 14 ± 0.31 mm, 16 ± 0.53 mm, 11 ± 0.57 mm, and 10 ± 0.57 mm respectively. Klebsiella oxytoca and Escherichia coli were more susceptible to CuONPs with minimal inhibitory concentration (MIC) values 6.25 and 3.12 µg/mL, respectively, while for Staphylococcus aureus and Bacillus cereus, MIC value was 12.5 and 25 μg/mL, respectively. The minimum biofilm inhibition concentration (MBIC) result was more evident, that the CuONPs have excellent anti-biofilm activity at sub-MIC levels reducing biofilm formation by 49% and 59% against Klebsiella oxytoca and Escherichia coli, while the results indicated that the MBIC of CuONPs on Bacillus cereus and Staphylococcus aureus was higher than 200 μg/mL and 256 μg/mL, respectively, suggesting that these CuONPs could not inhibit mature formatted biofilm of Bacillus cereus and Staphylococcus aureus in vitro. Overall, all the results were clearly confirmed that the CuONPs have excellent anti-biofilm ability against Klebsiella oxytoca and Escherichia coli. The prepared CuONPs offer a smart approach for biomedical therapy of resistant microorganisms because of its promoted antimicrobial action, but only for specified purposes. 

/pdf/potential-antimicrobial-and-antibiofilm-properties-of-copper-6u3xv80p.pdf

Potential Antimicrobial and Antibiofilm Properties of Copper Oxide Nanoparticles: Time-Kill Kinetic Essay and Ultrastructure of Pathogenic Bacterial Cells

The problem of the parameterization of data points in NURBS curve/surface has been considered by amount of researchers. In this study, a new parameterization method considered as hybrid parameterization method is proposed. Like universal method, this method uses the property of "at each span index, there is exactly one maximum value of the rational B-spline basis function". By taking the maximum rational B-spline basis functions as initial values, the centripetal method is applied to generate the parameter values of hybrid parameterization. This approach inherits the advantages of universal and centripetal methods such as allowing having multiple knots value. The proposed method gives better object shaped relevant to the other methods. The results on two simple data sets for both curves and surfaces show that this method is capable of generating smooth and fair object shape.

A hybrid parameterization method for NURBS

The study was conducted in the wooden canopy of the Department of Horticulture and garden Engineering / College of Agriculture / University of Tikrit during the 2021 agricultural season, in order to study the effect of spraying with glutamic acid and Nano-zinc oxide on some vegetative growth characteristics and mineral content of Lavendula Angustifolia Mill plant. A factorial experiment was carried out with two factors, the first factor of glutamic acid with three levels (0, 100, and 200) mg. L1- The second factor is Nano zinc oxide at four levels (0, 0.50, 1, and 1.50 g). L1 - According to the design of the full randomized RCDB sectors (Randomized Complete Block Design) and three duplicates, the most important results are summarized as follows: Characteristics of vegetative growth: The transaction G2 was characterized by giving the highest differences in plant height, the number of leaves, and total chlorophyll content, which amounted to 32.475 cm and 876.12 leaves. Plant-1, 35.128 mg. gm 1-soft weight, respectively, compared to the lowest values for the above-mentioned traits for the comparison transaction.

Effect of glutamic acid spraying and nano zinc oxide in the growth and content qualities of Lavendula Angustifolia Mill

Wound Dressing Scaffold with High Anti-biofilm Performance Based on Ciprofloxacin-Loaded Chitosan-Hydrolyzed Starch Nanocomposite: In Vitro and In Vivo Study.

M. A. Ahmed

Papers

NURBS skinning surface for ship hull design based on new parameterization method

Potential Antimicrobial and Antibiofilm Properties of Copper Oxide Nanoparticles: Time-Kill Kinetic Essay and Ultrastructure of Pathogenic Bacterial Cells

A hybrid parameterization method for NURBS

Effect of glutamic acid spraying and nano zinc oxide in the growth and content qualities of Lavendula Angustifolia Mill

Wound Dressing Scaffold with High Anti-biofilm Performance Based on Ciprofloxacin-Loaded Chitosan-Hydrolyzed Starch Nanocomposite: In Vitro and In Vivo Study.