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Parabolic cylinder functions implemented in Matlab  [PDF]
E. Cojocaru
Physics , 2009,
Abstract: Routines for computation of Weber's parabolic cylinder functions and their derivatives are implemented in Matlab for both moderate and great values of the argument. Standard, real solutions are considered. Tables of values are included.
The Simulated Annealing Algorithm Implemented by the MATLAB  [PDF]
Lin Lin,Chen Fei
International Journal of Computer Science Issues , 2012,
Abstract: This paper expounds the basic principle of simulated annealing algorithm which was applied to solve the function optimization problem and the algorithm realization process by using MATLAB language. Through the improvement algorithm results show that the method is able to function for global optimization, effectively overcome the based on the derivative of the optimization algorithm easy to fall into local optimum problems. This method not only can deepen the understanding of the simulated annealing process, but also can achieve the purpose of design intelligent system.
Mathieu functions computational toolbox implemented in Matlab  [PDF]
E. Cojocaru
Physics , 2008,
Abstract: The Mathieu functions are used to solve analytically some problems in elliptical cylinder coordinates. A computational toolbox was implemented in Matlab. Since the notation and normalization for Mathieu functions vary in the literature, we have included sufficient material to make this presentation self contained. Thus, all formulas required to get the Mathieu functions are given explicitly. Following the outlines in this presentation, the Mathieu functions could be readily implemented in other computer programs and used in different domains. Tables of numerical values are provided.
Spectrophotometric Determination of the pKa, Isosbestic Point and Equation of Absorbance vs. pH for a Universal pH Indicator  [PDF]
L. E. Vidal Salgado, C. Vargas-Hernández
American Journal of Analytical Chemistry (AJAC) , 2014, DOI: 10.4236/ajac.2014.517135
Abstract: The pKa and the isosbestic point of the universal pH indicator Carlo Ebra 1-11 (catalog number 45712) were determined using UV-Vis spectrophotometry. Aqueous buffer solutions with pHs ranging from 3.83 to 10.85 were mixed. Four methods—two graphical and two mathematical— were used to estimate the acid dissociation constant (pKa) and isosbestic point using absorbance measurements. The equation for the dependence of the absorbance on pH at λ = 600 nm was obtained using calibration curves. The resulting average pKa of the four methods was 8.277 with a standard deviation of 0.1728. The results obtained using the mathematical methods were very similar, with a deviation of 0.0014; the average pKa determined using these methods was 8.263 ± 0.001. The literature contains no previous reports of the pKa of this indicator. The isosbestic point occurs at a wavelength of 494 nm, with an absorbance of 0.46.
Gene ARMADA: an integrated multi-analysis platform for microarray data implemented in MATLAB
Aristotelis Chatziioannou, Panagiotis Moulos, Fragiskos N Kolisis
BMC Bioinformatics , 2009, DOI: 10.1186/1471-2105-10-354
Abstract: We describe here Gene ARMADA (Automated Robust MicroArray Data Analysis), a MATLAB implemented platform with a Graphical User Interface. This suite integrates all steps of microarray data analysis including automated data import, noise correction and filtering, normalization, statistical selection of differentially expressed genes, clustering, classification and annotation. In its current version, Gene ARMADA fully supports 2 coloured cDNA and Affymetrix oligonucleotide arrays, plus custom arrays for which experimental details are given in tabular form (Excel spreadsheet, comma separated values, tab-delimited text formats). It also supports the analysis of already processed results through its versatile import editor. Besides being fully automated, Gene ARMADA incorporates numerous functionalities of the Statistics and Bioinformatics Toolboxes of MATLAB. In addition, it provides numerous visualization and exploration tools plus customizable export data formats for seamless integration by other analysis tools or MATLAB, for further processing. Gene ARMADA requires MATLAB 7.4 (R2007a) or higher and is also distributed as a stand-alone application with MATLAB Component Runtime.Gene ARMADA provides a highly adaptable, integrative, yet flexible tool which can be used for automated quality control, analysis, annotation and visualization of microarray data, constituting a starting point for further data interpretation and integration with numerous other tools.Functional genomics represent a hot topic in biological research nowadays, embracing the analysis of large datasets, through the quantitative measurement of the genomic expression of the organisms probed, under numerous conditions. Gene expression microarrays represent an established, high-throughput measurement technology. It is an indispensable tool for genome-wide inspection of changes in the total gene expression of an organism, which proved to be a major discovery tool in biological research. Important goals of g
An IR-based Pedestrian Detection System Implemented with Matlab-Equipped Laptop and Low-Cost Microcontroller
Erwin Thomas Gilmore,Chukwunweike Ugbome,Charles Kim
International Journal of Computer Science & Information Technology , 2011,
Abstract: Infrared (IR)-based human detection research has received much attention within theresearch community in recent years. Recently, for industrial applications, infrared (IR) sensors havebeen applied to human detection in vehicle safety, night-vision, and military applications. They directlydetect targets with warm temperatures in the image, providing a potentially simpler and quicker solutionto human detection, especially during nighttime. This paper report a project of developing a pedestriandetection system in urban environments implemented with a Matlab on a laptop platform interfaced witha low-end microcontroller. This system primarily focuses on digital, infrared imagery and pedestriancandidate selection and detection using available detection algorithms, and on simple, economicalimplementation which is possible through the direct interfacing between the algorithm in Matlab andlow-end external hardware for indication of the detection result.
Determination of the pKa of Benzophenones in Ethanol-Water  [PDF]
G. T. Castro,S. E. Blanco,O. S. Giordano
Molecules , 2000, DOI: 10.3390/50300426
Abstract: The pKa of monohydroxylated benzophenones was determined by UV spectroscopy. The values obtained are coherent with the resonant forms and hydrogen bond intramolecular of the analyzed compounds.
Flow-batch analyser for preparation of calibration standard mixtures in simultaneous multicomponent spectrometric analysis
Visani, Valeria;Barros, Sara R. R. C.;Dantas Filho, Heronides A.;Almeida, Luciano F.;Lima, Ricardo A. C.;Fragoso, Wallace D.;Saldanha, Teresa C. B.;Araújo, Mário C. U.;
Eclética Química , 2009, DOI: 10.1590/S0100-46702009000200005
Abstract: the application of multivariate calibration techniques to multicomponent analysis by uv-vis molecular absorption spectrometry is a powerful tool for simultaneous determination of several chemical species. however, when this methodology is accomplished manually, it is slow and laborious, consumes high amounts of reagents and samples, is susceptible to contaminations and presents a high operational cost. to overcome these drawbacks, a flow-batch analyser is proposed in this work. this analyser was developed for automatic preparation of standard calibration and test (or validation) mixtures. it was applied to the simultaneous determination of cu2+, mn2+ and zn2+ in polyvitaminic and polymineral pharmaceutical formulations, using 4-(2-piridilazo) resorcinol as reagent and a uv-vis spectrophotometer with a photodiode array detector. the results obtained with the proposed system are in good agreement with those obtained by flame atomic absorption spectrometry, which was employed as reference method. with the proposed analyser, the preparation of calibration and test mixtures can be accomplished about four hours, while the manual procedure requires at least two days. moreover, it consumes smaller amounts of reagents and samples than the manual procedure. after the preparation of calibration and test mixtures, 60 samples h-1 can be carried out with the proposed flow-batch analyser.
Determination of the pKa values of some biologically active and inactive hydroxyquinones
Ossowski, Tadeusz;Goulart, Marília O. F.;Abreu, Fabiane C. de;Sant?Ana, Ant?nio Euzébio G.;Miranda, Paulo Rogério B.;Costa, Cicero de Oliveira;Liwo, Adam;Falkowski, Piotr;Zarzeczanska, Dorota;
Journal of the Brazilian Chemical Society , 2008, DOI: 10.1590/S0103-50532008000100025
Abstract: the apparent dissociation constants (pka) of four 2-hydroxynaphthoquinones, differently substituted at c-3, were determined in water:ethanol (1:1, v/v) solutions by ph-metric and hybrid ph-metric/uv titration methods. isolapachol (pka < 6) was more acidic than lapachol (pka > 6). two pka values were determined for each of the methylamino-derivatives investigated, the first relating to the enol function and the second to the ammonium salt. it was determined that under physiological ph, these derivatives would be to a large extension, zwitterionic. the possible effects of the measured parameters on the biological activities of the studied compounds are discussed.
Single-Phase Velocity Determination Based in Video and Sub-Images Processing: An Optical Flow Method Implemented with Support of a Programmed MatLab Structured Script  [PDF]
Andreas Nascimento, Edson Da Costa Bortoni, José Luiz Gon?alves, Pedro Antunes Duarte, Mauro Hugo Mathias
Journal of Software Engineering and Applications (JSEA) , 2015, DOI: 10.4236/jsea.2015.86029
Abstract: Important in many different sectors of the industry, the determination of stream velocity has become more and more important due to measurements precision necessity, in order to determine the right production rates, determine the volumetric production of undesired fluid, establish automated controls based on these measurements avoiding over-flooding or over-production, guaranteeing accurate predictive maintenance, etc. Difficulties being faced have been the determination of the velocity of specific fluids embedded in some others, for example, determining the gas bubbles stream velocity flowing throughout liquid fluid phase. Although different and already applicable methods have been researched and already implemented within the industry, a non-intrusive automated way of providing those stream velocities has its importance, and may have a huge impact in projects budget. Knowing the importance of its determination, this developed script uses a methodology of breaking-down real-time videos media into frame images, analyzing by pixel correlations possible superposition matches for further gas bubbles stream velocity estimation. In raw sense, the script bases itself in functions and procedures already available in MatLab, which can be used for image processing and treatments, allowing the methodology to be implemented. Its accuracy after the running test was of around 97% (ninety-seven percent); the raw source code with comments had almost 3000 (three thousand) characters; and the hardware placed for running the code was an Intel Core Duo 2.13 [Ghz] and 2 [Gb] RAM memory capable workstation. Even showing good results, it could be stated that just the end point correlations were actually getting to the final solution. So that, making use of self-learning functions or neural network, one could surely enhance the capability of the application to be run in real-time without getting exhaust by iterative loops.
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