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$12 USD / hora
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Se unió el junio 6, 2015
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Francis R.

@GlobalScienceSol

5,0 (2 comentarios)
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$12 USD / hora
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Global Science Solutions

Who we are?: Global Science Solutions (GSS) is a microenterprise with highly qualified staff specialized on mathematics, chemistry, biology and computer science areas. We have high-tech laboratory equipment for materials characterization. Mission: Our main objective is to offer excelence solutions through a highly confiable and innovative service. Strenghts: - Highly Qualified Staff on Engineering, Pure and Natural Science and Biotechnology. - Innovative ideas - Scientific Research and Technology Development laboratory - Resolve theoretical and practical problems with highly complexity

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5,0
$100,00 AUD
dealing with GlobalScienceSol , was very easy , they are very Professional, im hiring them again on my next project
Matlab and Mathematica
Mathematics
Computer Support
V
Bandera de Moon M.
@vickymoonmei
hace 9 años

Experiencia

PhD. in Mathematics

Autonomous University of the State of Morelos
ene 2015 - dic 2018 (3 años, 11 meses)
We have expertise on several areas such as:Cryptography, Algebra, Algebraic number theory and Mathematical Analysis. We have developed different projects: 1- Block cipher, Havana University 2- Class number problem, Havana University - Euskal Herriko Unibertsitatea 3- Representation theory, Havana University

PhD. Computer Science

Autonomous University of the State of Morelos
ene 2013 - nov 2017 (4 años, 10 meses)
We have expertise on several areas such as: Data Mining, Statistics, Natural Language Processing, Fuzzy Logic, Ontologies and Data Base Design. We have developed different projects: 1- Automatic CASE designer for software development, ISPJAE 2- OntoPartS: Representing Mereotopological Relations in OWL Ontologies, ISPJAE - University of KwaZulu-Natal 3- Fuzzy Degrees for Lexical Database, ISPJAE - University of Castilla La Mancha

PhD. in Mathematics and Computer Science

Autonomous University of the State of Morelos
ene 2015 - oct 2017 (2 años, 9 meses)
I am a data scientist with +7 years of work experience in Statistics, Artificial Intelligence, and Machine Learning. I have a critical thinking, and I am always compromised to bring fast, smart and innovative solutions to complex problems. I am a passionate and lover of the scientific challenges, I have a PhD Degree in Computer Science and Mathematics, with an advanced formation in statistics and programming.

Educación

MC. in Mathematics

Cuba 2012 - 2014
(2 años)

MSc. Applied Informatic

Cuba 2007 - 2012
(5 años)

Bachelor in Mathematics

Cuba 2007 - 2011
(4 años)

Calificaciones

Best Applied Mathematics Work

University of Havana
2011

Award “Roberto Peña"

Cuban Society of Mathematics and Computer
2011

Relevant Award in the Area of Research

University of Havana
2011

Publicaciones

Usefulness of TRISS index as a predictor of alterations in CD3 + lymphocytes in injured patients

Journal of Military Medicine
Te current trends and projections regarding traumata demonstrate that they become a public health world crisis. to assess the usefulness of the "trauma injury severity score (TRISS) predictive index as predictor index of alterations in the subpopulations of CD3+ lymphocytes in injured patients. We conclude that cellular immunity alterations of the traumatized patients have a direct relation to the severity of injuries affecting the survival probability of patients.

TRISS Correlation with Opsonophagocytic index Changes in Injured Patients

Journal of Military Medicine
The injured patient under stress due to multiple causes (physical, emotional and surgical), has from very early stages, significant alterations in the immune response.To assess the "trauma injury severity score" (TRISS) predictive index haw indicating of phagocytic ability status of the neutrophiles poly-morphonuclear leucocytes. An analytical and prospective study was conducted in 55 injured patients admitted in the "Dr. Luis Díaz Soto" Central Military Hospital from 2005 to 2008.

Alterations in the Reactive C Protein in Injured Patients and its Correlation with the TRISS

Journal of Military Medicine
The trauma provokes immunity which if are not corrected, leads to complications and death. To assess the trauma injury severity score" predictive index (TRISS) as a predictor of status of the reactive C protein and as part of the immune response to trauma. An analytical and prospective study was conducted in 55 injured, admitted in the "Dr. Luis Díaz Soto" Central Military Hospital between 2005 and 2008.

One approach to the problem of detecting ellipses

Technical Report ICIMAF
We propose a novel approach to the problem of adjustment and conical detection from scattered data. Presents an alternative to determine the general shape of any kind of conical, new methods for the assignment of tangent in noise environments, an efficient method for calculating the distance to a conic section, and finally two new algorithms for detecting and adjustment of ellipses.

Application of the Ring Theory in the Segmentation of Digital Images

International Journal of Soft Computing, Mathematics and Control
In this paper, we propose a new index of similarity among images using Zn rings and the entropy function. This new index was applied as a new stopping criterion to the Mean Shift Iterative Algorithm with the goal to reach a better segmentation. An analysis on the performance of the algorithm with this new stopping criterion is carried out. The obtained results proved that the new index is a suitable tool to compare images.

New Similarity Index for images based on Entropy and Group Theory

IEEE Latin American Transaction
In this work, we propose a new similarity index for images, which takes in consideration the entropy function and group theory. This index considers an algebraic group of images, which is defined by an inner law that offers a novel approach for the subtraction of images. Through an equivalence relationship in the field of images, we proved the existence of the quotient group, on which a new similarity index was defined.

A new approach for ellipses detection in Images

Operation Research
We propose a new approach for ellipses detection in scattered data. The method is constructed on the assumption that it is possible to estimate the tangents to the ellipse in given points. From this information the coefficients of the quadratic form of the ellipses can be recovered. On this base two univariate cost functions are defined. The minimization of the proposed functions produces robust results in the presence of outliers, something difficult to obtain with least squares methods.

Edge Detection in Segmented Images Through Mean Shift Iterative Gradient Using Ring

International Journal of Soft Computing, Mathematics and Control
The comparable, proportional and symmetrical images are defined and the importance of Ring Theory is explained. The length of the mean shift vector is used in order to quantify the homogeneity of the neighborhoods. Edge detection is carried out by using the mean shift gradient based on symmetrical images. The difference among the values of gray levels are accentuated or these are decreased to enhance the interest region contours.

Behavior Study of Entropy in a Digital Image Through an MSHi.

International Journal of Soft Computing, Mathematics and Control
In this paper, we study the behavior of entropy in digital images through an iterative algorithm of mean shift filtering. The order of a digital image in gray levels is defined. The behavior of Shannon entropy is analyzed and then compared, taking into account the number of iterations of our algorithm, with the maximum entropy that could be achieved under the same order. The use of equivalence classes it induced, which allow us to interpret entropy as a hyper-surface in real m-dimensional space.

Consideraciones de diseño para una herramienta de análisis semántico

Universidad de Concepción. Facultad de Humanidades y Arte
En el presente artículo se realiza un análisis de las múltiples clasificaciones que existen para los algoritmos de desambiaguación del sentido de las palabras, además se expone el recurso léxico fundamental utilizado para la implementación de éstos. A continuación se muestra el funcionamiento del algoritmo propuesto por Lesk en 1986 y su version adaptada, aplicado sobre un diccionario electrónico, así como su adecuación para el uso de la base de datos léxica WordNet.

OntoPartS: a tool to select part-whole relations in OWL ontologies

Lecture Note Computer Science
Representing part-whole and mereotopological relations in an ontology is a well-known challenge. We have structured 23 types of part-whole relations and hidden the complexities of the underlying mereotopological theory behind a user-friendly tool: OntoPartS. It automates modelling guidelines using, mainly, the categories from DOLCE so as to take shortcuts in the selection process, and it includes examples and verbalizations to increase understandability.

Representing mereotopological relations in OWL ontologies with ONTOPARTS

Lecture Note Computer Science
Representing and reasoning over mereotopological relations in an ontology is a well-known challenge, because there are many relations to choose from and OWL has limited expressiveness in this regard. To address these issues, we structure those relations based on the KGEMT mereotopological theory. To achieve effortless selection of the appropriate relation, we hide the complexities of the underlying theory through automation of modelling guidelines in the new tool OntoPartS.

Stopping Criterion for the Mean Shift Iterative Algorithm

Lecture Note of Computer Science
Image segmentation is a critical step in computer vision tasks constituting an essential issue for pattern recognition and visual interpretation. In this paper, we propose a new stopping criterion for the mean shift iterative algorithm by using images defined in Zn ring, with the goal of reaching a better segmentation. We carried out also a study on the weak and strong of equivalence classes between two images. An analysis on the convergence with this new stopping criterion is carried out too.

Word Sense Disambiguation in Information Retrieval.

Scientific Research Publishing
The natural language processing has a set of phases that evolves from lexical text analysis to the pragmatic one in which the author’s intentions are shown. The ambiguity problem appears in all of these tasks. Previous works tries to do word sense disambiguation, the process of assign a sense to a word inside a specific context, creating algorithms under a supervised or unsupervised approach. We present an approximated approach that combines not supervised algorithms.

Random Generation of MDS matrices

Math.ru
In this paper a new algorithm is presented for the random generation of MDS matrices of the General Lineal Group GL4 (GF (2^8 )). The algorithm has as in- put parameters a random matrix M = {m i,j } 4×4 , where m i,j ∈ GF (2^8 ) for all i, j ∈ {1 . . . 4} and the primitive polynomials g 1 (x), g 2 (x) and g 3 (x) over GF (2^8 )[x]. The matrix M has as restrictions that for no i, i ≥ 2, m i,i = m i,i+1 = . . . m i,4 = 0, and m 1,2 , m 1,3 and m 1,4 = 0.

Words Polysemy Analysis: Implementation of the WSD Algorithm Based on Magnini Domains

Scientific & Academic Publishing
This paper presents an analysis of the lexical resources used in Word Sense Disambiguation (WSD) process by methods based on Magnini domains. At the same time, the characteristics of two algorithms that use Magnini domains are shown and we define the implementation of Word Domain Disambiguation (WDD) algorithm as defined in [1]. Later on, we proceed designing the experiments to test the algorithm and we arrived to different conclusions.

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