bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Implementation of an Electronic Identification Card
Authors: Flores-Escalante J. , Pérez-Dí­az J. , Gómez-Cárdenas R.
Published: November 2019

In this paper we present an “Electronic Identification Card” (EIC). This EIC is designed to provide a high degree of security for user authentication using biometrics, cryptography and steganography. The EIC encrypts the user's personal information as well as his fingerprint and then embed it in a photograph of the user's face. Two factors of authentication are used in the process: “something the user knows” and “something the user has”, in order to provide layers of security to shield the card. The EIC gives the flexibility to operate in database systems, storage media like chips for smart cards or digital passports. We also developed schemes to authenticate users through the EIC, like remote authentication by a Web interface and the authentication in a local machine.
A model to design effective Production Improvement Programs
Authors: Bautista T , López Ortega E M , Zubieta J , Macías S
Published: November 2019

The objective of this paper is to present a model to design effective Production Improvement Programs (PIP) in order to contribute in the solution of the problematic situations generally faced by the Mexican manufacturing micro, small and mediumsized enterprises (M‐SME). In this proposal, we imply that facilitating their development is a natural way to improve their performance, especially in terms of productive efficiency. The study picked up empirical evidence from the Processes Reengineering Workshop (PRW), one of the leading services of the National Committee of Productivity and Technological Innovation (NCPTI) which is considered a Mexican successful case. We show through a comparative analysis that it is possible to have better programs when they follow a continuous improvement process involving the owner of the firm and workforce participation. Furthermore, we suggest a series of methods for planning, structuring and improvement according to the imitative, tacit and qualitative M‐SME specific competence.
Electroencephalogram Signals Processing for the Diagnosis of Petit mal and Grand mal Epilepsies Using an Artificial Neural Network
Authors: Arab M R , Suratgar A A , Martínez Hernández V M , Rezaei Ashtiani A
Published: November 2019

In this study, a novel wavelet transform‐neural network method is presented. The presented method is used for the classification of grand mal (clonic stage) and petit mal (absence) epilepsies into healthy, ictal and interictal (EEGs). Preprocessing is included to remove an artifact occurred by blinking and a wandering baseline (electrodes movement) as well as an eyeball movement artifact using the Discrete Wavelet Transformation (DWT). Denoising EEG signals from the AC power supply frequency with a suitable notch filter is another job of preprocessing. The preprocessing enhanced speed and accuracy of the processing stage (wavelet transform and neural network). The EEGs signals are categorized into normal and petit mal and clonic epilepsy by an expert neurologist. The categorization is confirmed by the Fast Fourier Transform (FFT) analysis. The dataset includes waves such as sharp, spike and spike‐slow wave. Through the Countinous Wavelet Transform (CWT) of EEG records, transient features are accurately captured and separated and used as classifier input. We introduce a two‐stage classifier based on the Learning Vector Quantization (LVQ) neural network localized in both time and frequency contexts. The particular coefficients of the Continuous Wavelet Transform (CWT) are networks. The simulation results are very promising and the accuracy of the proposed method obtained is of about 80%.
An Architecture for Intrusion Detection Based on an Extension of the Method of Remaining Elements
Authors: Velarde-Alvarado P. , Vargas-Rosales C. , Torres-Roman D. , Martinez-Herrera A.
Published: November 2019

This paper introduces an Anomaly-based Intrusion Detection architecture based on behavioral traffic profiles created by using our enhanced version of the Method of Remaining Elements (MRE). This enhanced version includes: a redefinition of the exposure threshold through the entropy and cardinality of residual sequences, a dual characterization for two types of traffic slots, the introduction of the Anomaly Level Exposure (ALE) that gives a better quantification of anomalies for a given traffic slot and r-feature, an alternative support that extends its detection capabilities, and a new procedure to obtain the exposure threshold through an analysis of outliers on the training dataset. Regarding the original MRE, we incorporate the refinements outlined resulting in a reliable method, which gives an improved sensitivity to the detection of a broader range of attacks. The experiments were conducted on the MIT-DARPA dataset and also on an academic LAN by implementing real attacks. The results show that the proposed architecture is effective in early detection of intrusions, as well as some kind of attacks designed to bypass detection measures.
Digitally Controlled Integrated Electronic Ballast with Dimming and Power Factor Correction Features
Authors: Aguilar-Castillo C. , García-Beltrán C.D. , Morcillo-Herrera C.
Published: November 2019

This paper presents a digitally controlled integrated electronic ballast with dimming and power factor correction features. The control circuit is based on a low-cost PIC16C71 microcontroller where the different strategies for energysaving have been implemented. The ballast is operating in closed loop achieving tight lamp current regulation through a digital Proportional-Integral algorithm. The integrated power stage is based on a frequency-controlled single-switch boost rectifier plus a half-bridge series resonant parallel loaded inverter sharing one power switch. The single-switch boost rectifier works in discontinuous inductor current mode with automatic power factor correction. Detailed analysis of the power stages and experimental results using 42-watt electronic ballast are presented.
A new experimental ground vehicle with hybrid control and hybrid vision sensor
Authors: Rendón-Mancha J. M. , Sanahuja G. , Castillo P. , Lozano R.
Published: November 2019

This paper presents a new hybrid control algorithm based on saturation functions and its real-time application to a ground vehicle. The hybrid control is developed from a nonlinear continuous control law and the objective is to obtain the optimal sampling period to apply the controller in real experiences. The stability analysis was made in discrete time. The experimental platform is composed of a remote control toy car and a vision system. The vision system is built using a simple webcam and a diode laser. This system is fast, accurate, inexpensive and easy to implement. Simulations and experiments show the stability and robustness of the closed-loop system. The proposed control law performance is compared with a linear control algorithm.
A Blind Video Watermarking Scheme Robust To Frame Attacks Combined With MPEG2 Compression
Authors: Cruz-Ramos C. , Reyes-Reyes R. , Nakano-Miyatake M. , Perez-Meana H.
Published: November 2019

In this paper, we propose a robust digital video watermarking scheme with completely blind extraction process where the original video data, original watermark or any other information derivative of them are not required in order to retrieve the embedded watermark. The proposed algorithm embeds 2D binary visually recognizable patterns such as company trademarks and owner’s logotype, etc., in the DWT domain of the video frames for copyright protection.Before the embedding process, only two numerical keys are required to transform the watermark data into a noise-like pattern using the chaotic mixing method which helps to increase the security. The main advantages of the proposed scheme are its completely blind detection scheme, robustness against common video attacks, combined attacks andits low complexity implementation. The combined attacks consist of MPEG-2 compression and common video attacks such as noise contamination, collusion attacks, frame dropping and swapping. Extensive simulation results also show that the watermark imperceptibility and robustness outperform other previously reported methods. The extractedwatermark data from the watermarked video sequences is clear enough even after the watermarked video hadsuffered from several attacks.
Experimental Evaluation of Sugar Cane Bagasse Storage in Bales System
Authors: Lois-Correa J. , Flores-Vela A. , Ortega-Grimaldo D. , Berman-Delgado J.
Published: November 2019

An experimental evaluation was carried out on three bagasse storage piles with the following characteristics: wet baled raw bagasse, wet baled depithed bagasse and pre-dried baled depithed bagasse. In each of these formerly mentioned alternatives, the storage time influence was analyzed on temperature profile, humidity behavior, granulometry and morphology, with and without mechanical treatment, solubility in hot water, NaOH and alcoholbenzene extractives. In the same way, the behavior of brightness in mechanical pulps produced from stored bagasse was studied. Storage losses were calculated for each alternative on the basis of obtained results and it wasdemonstrated that pre-dried bagasse as compared with wet bagasse storage, yields lower losses and better conservation of its characteristics.
On the Weight Distribution of the Dual of some Cyclic Codes with Two
Authors: Vázquez-Fernández C.A. , Vega-Hernández G.
Published: November 2019

An important family of codes for error control in digital communications are the so-called cyclic codes; therefore, finding the weight distribution of a q-ary cyclic code C is not only a problem of theoretical interest, but also of practical importance. Typically, when the finite field q is a prime field, the problem is handled by expressing the Hamming weight of each codeword in C by means of certain combination of exponential sums. In this work, we will present a new method for computing the weight distribution of the dual of some cyclic codes with two non conjugated zeros. As we will see, such distribution is also given by means of the evaluation of certain exponential sums, however, such evaluation is only needed to be done over a subset. Moreover, this method has the advantage of flexibility, in the sense that it can also be applied to cyclic codes over finite fields of non prime order.
A Comparison of Dynamic Naive Bayesian Classifiers and Hidden
Authors: Avilés-Arriaga H.H. , Sucar-Succar L.E. , Mendoza-Durán C.E. , Pineda-Cortés L.A.
Published: November 2019

In this paper we present a study to assess the performance of dynamic naive Bayesian classifiers (DNBCs) versusstandard hidden Markov models (HMMs) for gesture recognition. DNBCs incorporate explicit conditional independence among gesture features given states into HMMs. We show that this factorization offers competitive classification rates and error dispersion, it requires fewer parameters and it improves training time considerably in the presence of several attributes. We propose a set of qualitative and natural set of posture and motion attributes to describe gestures. We show that these posture-motion features increase recognition rates significantly in comparison to motion features. Additionally, an adaptive skin detection approach to cope with multiple users and different lighting conditions is proposed. We performed one of the most extensive experimentation presented in the literature to date that considers gestures of a single user, multiple people and with variations on distance and rotation using a gesture database with 9441 examples of 9 different classes performed by 15 people. Results show the effectiveness of the overall approach and the reliability of DNBCs in gesture ecognition.
Nonlinear Companding Circuits With Thermal Compensation to Enhance Input Dynamic Range in Analog Optical Fiber Links
Authors: Rodríguez-Rodriguez J. , Velazquez-Hernández J.
Published: November 2019

Measuring systems based on a pair of optical fiber transmitter-receivers are used in medium-voltage testing laboratories wherein the environment of high electromagnetic interference (EMI) is a limitation for using conventional cabling. Nonlinear compensation techniques have been used to limit the voltage range at the input of optical fiber links. However, nonlinear compensation introduces gain and linearity errors caused by thermal drift. This paper presents a method of thermal compensation for the nonlinear circuit used to improve transient signal handling capabilities in measuring system while maintaining low errors in gain and linearity caused by thermal drift.
Dynamic Response of Femoral Cartilage in Knees With Unicompartmental Osteoarthritis
Authors: Vidal-Lesso A. , Ledesma-Orozco E. , Lesso-Arroyo R. , Rodríguez-Castro R.
Published: November 2019

The objective of the present work was to determine the dynamic indentation response, stiffness and relaxation curvesfor the shear and the bulk modulus of femoral knee cartilage with no visual damage in cases under unicompartmentalosteoarthritis.A cyclic displacement of 0.5 mm in axial direction was applied with a 3 mm plane-ended cylindrical indenter at specificpoints in the femoral knee cartilage specimens of seven patients with unicompartmental osteoarthritis (UOA). Theindentation force over time was recorded and next the maximum stiffness in all cycles was obtained and compared.Also, the relaxation curves for the shear and the bulk modulus of cartilage were obtained in this work.A decrease in the maximum indentation force was observed comparing between indentation cycles; it was of 6.75 ±0.71% from cycle 1 to cycle 2 and 4.70 ± 0.31% for cycle 2 to cycle 3. Stiffness values changed with a mean of 3.35 ±0.39% from cycle 1 to cycle 2 and 1.40 ± 0.71% from cycle 2 to cycle 3. Moreover, relaxation curves for the shearmodulus and the bulk modulus showed the nonlinear behavior of articular cartilage with UOA.Our results showed that cartilage specimens with no visual damage in UOA preserve a nonlinear viscoelastic behaviorand its stiffness increases through the loading cycles. Our work provides experimental values for generating a morerealistic cartilage behavior than those currently used in computer cartilage models for the study of UOA.
Transmission Electron Microscopy (TEM) Through Focused ION Beam (FIB) from Vitrified Chromium Wastes
Authors: Ballesteros-Elizondo S. , Parga-Torres J. R. , Rincón-López J. Ma. , Palacios-González E.
Published: November 2019

This study shows how the Focused Ion Beam (FIB) has been applied to vitrified materials obtained from chromiumwastes. Due to the issues arising during conventional Ar+ ion milling, it was necessary to thin these samples usingFIB. Difficulties came from the heterogeneous size between chromium spinels and the residual glass phase. The FIBwas applied to obtain thin foils from vitrified materials. These brittle and heterogeneous samples result in specimenswith many perforations and chipping when using conventional thinning below 100 nanometers. Alternatively, FIBallowed thinning in the range of 60 - 80 nanometers from specifically selected areas such as the areas containingspinel crystals Mg(Al,Cr)2O4 in order to facilitate the final Transmission Electron Microscopy (TEM) observations. Inthis paper, FIB is shown to be a very powerful microtool as a brittle samples preparation method as well as providingan alternative way for performing conventional ceramography and Ar+ ion milling. FIB is a much less destructivemethod with greater observed capacity in the quantity and analysis of microcrystalline phases.
Electrophoretic deposition of a bioactive Si, Ca-rich glass coating on 316L stainless steel for biomedical applications
Authors: Rodríguez H. H. , Maldonado-Reyes A. , Cortés-Hernández D. A.
Published: November 2019

This work consisted in the development and characterization of a vitroceramic coating on 316L stainless steel by means of electrophoretic deposition (EPD). This vitroceramic coating was obtained through a Si-, Ca-rich glass coating crystallization. The electrophoretic deposition tests were performed on 316L stainless steel mechanically polished substrates. The results suggest that the electrophoretic coatings adhered well to the metallic surfaces. The results demonstrate that the crystallized coatings are potentially bioactive, because a dense and homogeneous apatite layer, similar to a bone, makes up.
Acoustic Emission Technique, an Overview as a Characterization Tool in Materials Science
Authors: Ríos-Soberanis C. R.
Published: November 2019

In order to predict the mechanical behavior of a composite during its service life, it is important to evaluate itsmechanical response under different types of external stresses by studying the initiation and development of cracksand the effects induced by damage and degradation. The onset of damage is related to the structural integrity of thecomponent and its fatigue life. For this, among other reasons, non-destructive techniques such as acoustic emission(AE) have been widely used nowadays for composite materials characterization. This method has demonstratedexcellent results on detecting and identifying initiations sites, cracking propagation and fracture mechanisms ofpolymer matrix composite and ceramic materials. This paper focuses on commenting the importance of the acousticemission technique as a unique tool for characterizing mechanical parameters in response to external stresses anddegradation processes by reviewing previous investigations carried out by the author as participant. Acoustic emissionwas employed to monitor the micro-failure mechanisms in composites in relation to the stress level in real-time duringthe tests carried out. Some results obtained from different analysis are discussed to support the significance of usingAE, technique that will be increasingly employed in the composite materials field due to its several alternatives forunderstanding the mechanical behavior; therefore, the objective of this manuscript is to involve the benefits andadvantages of AE in the characterization of materials.
Ranking risks in ambient intelligence projects
Authors: López C. , Salmeron J.L.
Published: November 2019

At present, numerous ambient intelligent (AmI) applications are emerging which support current electronic and digital environments. Professionals develop each of them by means of projects. AmI application projects have certain features that make them different from other engineering projects. Moreover, a wide rage of risks are present in the whole project. Therefore, to increase these projects’ chances to be successful, it is necessary to manage their specific risks adequately. In order to support the work of those practitioners managing these threats, this research proposes a multicriteria decision-making methodology called Analytic Hierarchy Process. This technique will enable theprioritization of risks in AmI projects according to their level of threat.
Natural Pigment-Based Dye-Sensitized Solar Cells
Authors: Hernández-Martínez A.R. , Estevez M. , Vargas S. , Quintanilla F. , Rodríguez R.
Published: November 2019

ABSTRACTThe performance of dye-sensitized solar cells (DSSC) based on natural dyes extracted from five different sources isreported. These are inexpensive, have no nutritional use, and are easy to find in Mexico. The solar cells wereassembled using a thin film and a TiO2 mesoporous film on ITO-coated glass; these films were characterized byFTIR. The extracts were characterized using UV–Vis and typical I-V curves were obtained for the cells. The bestperformance was for Punica Granatum with a solar energy conversion efficiency of 1.86%, with a current density Jscof 3.341 mA/cm2 using an incident irradiation of 100 mW/cm2 at 25 ºC.
Optimal Workflow Scheduling in Critical Infrastructure Systems with Neural Networks
Authors: Vukmirović S. , Erdeljan A. , Imre L. , Čapko D.
Published: November 2019

Critical infrastructure systems (CISs), such as power  grids, transportation systems, communication networks and water systems are the backbone of a country’s national security and industrial prosperity. These CISs execute large numbers of workflows with very high resource requirements that can span through different systems and last for a long time. The proper functioning and synchronization of these workflows is essential since humanity’s well-being is connected to it. Because of this, the challenge of ensuring availability and reliability of these services in the face of a broad range of operating conditions is very complicated.  This paper proposes an architecture which dynamically executes a scheduling algorithm using feedback about the current status of CIS nodes. Different artificial neural networks (ANNs) were created in order to solve the scheduling problem. Their performances were compared and as the main result of this paper, an optimal ANN architecture for workflow scheduling in CISs is proposed. A case study is shown for a meter data management system with measurements from a power distribution management system in Serbia. Performance tests show that significant improvement of the overall execution time can be achieved by ANNs.
Applying Non-Steady-State Photo-Emf Technique to Detection of Higher Order Auto Correlation Functions of Ultrashort Optical Pulses
Authors: Moreno Zarate P. , S. Shcherbakov Alexandre , Mansurova Svetlana
Published: November 2019

Here we examine a new application of the adaptive detectors based on non-steady-state photo-electro-motive force effect for the detection of higher order  correlation functions, aiming the estimation of the parameters of ultra short optical pulses arranged in high-repetition trains. For this purpose three beam interferometer scheme with two signal beams modulated at different frequencies is proposed. Theoretical analysis of non-steady-state photo-EMF current generated by light distribution formed by superposition of three waves is performed and the possibility to detect simultaneously second and higher order correlation  function is demonstrated.  Potential advantages and disadvantages of such detection scheme for measuring the higher order auto-correlations functions are discussed.
Design of a Qubit and a Decoder in Quantum Computing Based on a Spin Field Effect
Authors: A. Suratgar A. , Rafiei S. , A. Taherpour A. , Babaei A.
Published: November 2019

In this paper we present a new method for designing a qubit and decoder in quantum computing based on the field effect in nuclear spin. In this method, the position of hydrogen has been studied in different external fields. The more we have different external field effects and electromagnetic radiation, the more we have different distribution ratios. Consequently, the quality of different distribution ratios has been applied to the suggested qubit and decoder model. We use the nuclear property of hydrogen in order to find a logical truth value. Computational results demonstrate the accuracy and efficiency that can be obtained with the use of these models.
Advanced Engineering Platform for Industrial Development
Authors: González-Palacios M. A.
Published: November 2019

Este artículo introduce una descripción completa de una plataforma de desarrollo que involucra bibliotecas que permiten la creación de paquetes de software dedicados no solo a aplicaciones industriales, sino también a aquellas aplicaciones donde el diseño, modelado y/o simulación en línea son requeridas. La flexibilidad de las clases principales simplifica la generación de módulos que constituyen una aplicación desarrollada con esta plataforma. Más aún, cualquier aplicación que empieza a desarrollarse desde las bases de esta plataforma de desarrollo contiene de forma predeterminada un conjunto de funciones que facilita al desarrollador, en primer lugar, construir un ambiente gráfico con capacidad de interactuar con el ratón, y en segundo, realizar tareas de control de maquinaria al comunicarse con dispositivos de entrara/salida; tal es el caso de tarjetas digital/analógicas o módulos conectados de forma remota. Además, cualquier aplicación completamente desarrollada, puede ser considerada como una plataforma para generar otra aplicación con mayor nivel de especialización. Varias aplicaciones construidas con esta plataforma son reportadas aquí como casos de estudio.
Perspective Application of Passive Optical Network with Optimized Bus Topology
Authors: Lafata P. , Vodrazka J.
Published: November 2019

Passive optical networks (PONs) represent a promising solution for modern access telecommunication networks. These networks are able to meet the increasing demands on transmission rate for demanding multimedia services, while they can offer typical shared transmission speed of 1.25 or 2.5 Gbps. The major role in deploying optical distribution networks ODNs plays the maximum attenuable loss, which is caused mainly by passive optical splitters. This paper proposes an innovative application of passive optical networks with optimized bus topology especially for local backbone data networks. Due to using only passive components, it is necessary to optimize certain parameters, especially an overall attenuation balance. Considering the possibility of such optimization, the passive optical network with optimized bus topology provides several interesting opportunities for specific applications. This paper will present selected aspects of passive optical networks and splitters with asymmetric splitting ratio. The essential part is focused on the practical demonstration of their use to optimize the passive optical network with bus topology, which acts as a local backbone network for structured cabling systems, and for local data networks in large buildings.
Image-Based Learning Approach Applied to Time Series Forecasting
Authors: Ramírez-Amáro K. , Chimal-Eguía J. C.
Published: November 2019

In this paper, a new learning approach based on time-series image information is presented. In order to implement this new learning technique, a novel time-series input data representation is also defined. This input data representation is based on information obtained by image axis division into boxes. The difference between this new input data representation and the classical is that this technique is not time-dependent. This new information is implemented in the new Image-Based Learning Approach (IBLA) and by means of a probabilistic mechanism this learning technique is applied to the interesting problem of time series forecasting. The experimental results indicate that by using the methodology proposed in this article, it is possible to obtain better results than with the classical techniques such as artificial neuronal networks and support vector machines.
Mejora de oro-Sección Algoritmo para el problema Reposición Multi-Punto
Authors: Hernández S. , Flores I. , Vázquez J.A.
Published: November 2019

Se muestra un método basado en sección dorada para resolver instancias del problema de reaprovisionamiento de productos múltiples. El algoritmo incluye un método iterativo para obtener un intervalo de búsqueda más pequeño. Se estudió el desempeño del algoritmo de manera experimental realizando las comparaciones con el algoritmo RAND, resolviendo instancias generadas aleatoriamente. Los resultados muestran que el algoritmo de sección dorada obtiene la solución óptima hasta en el 100% de las instancias resueltas, es estable frente al número de productos y el tiempo de ejecución es competitivo. El algoritmo es sencillo de implementar y muy útil para profesionistas dedicados a la planeación y control de inventarios.
A Survey Analysis Of The Resource Selection Models In Agile/Virtual Enterprises
Authors: Pires A. , Putnik G. , Ávila P.
Published: November 2019

In this work, a survey is made of the analysis of the resource selection process. We approach the process also from the point of view of conventional enterprises but with particular emphasis on the existent models in Agile/Virtual Enterprises in order to identify the main limitations and shortcomings of the process. This analysis was focused in the global process of the resource selection, namely in terms of the pre-selection and selection phases, requisites, mathematical models, tools and other relevant areas in the existent models. It is concluded that the resource pre-selection is an area that is not adequately explored in a systematic way. The value concept is not incorporated in the selection process. As a result, a reasoned analysis is not performed of the decision-making process for creating an Agile/Virtual Enterprise. These conclusions were made to envision a future approach that allows the incorporation of new areas that contribute to the improvement of the resource selection process.
A Simple Substrate Heater Device With Temperature Controller for Thin Film Preparation
Authors: Rendón G. , Poot P. , Oliva A.I. , Espinosa-Faller F.J.
Published: November 2019

A simple substrate heater and its temperature controller were designed and built in order to prepare thin films in a high vacuum deposition system. The substrate heater was elaborated with a glass-ceramic body and a molybdenum foil heater. The applied power and the temperature are regulated by a power controller board using a microcontroller programmed with a proportional-integrative-derivative algorithm. The heater/controller system was tested in a high vacuum deposition system and the results of its characterization at 100, 200, 300 and 400 °C are presented. A variation in temperature better than ± 0.5 °C was obtained for all the tested temperatures. An application of the substrate heater is demonstrated by evaporating gold thin films on heated glass substrates.
Verification of Surface Conductance Model of Textile Materials
Authors: Neruda M. , Vojtech L.
Published: November 2019

Surface conductance is one of the main parameters which describes basic characteristics of specific textile materials. These textile materials are used, for example, in environments with higher requirements on hardware electrostatic protection during their production process. Published measurement standardized methods are followed by modeling methods which do not reach satisfactory results. This paper is therefore focused on the modeling of surface conductance of textile materials. The results show that the structure of textile materials can be seen as serial-parallel connections of resistors. A derivation of this model is described.
New Sensor Cable for the Detection and Location of Leaks in Pipelines for Transportation of Hydrocarbons
Authors: Orduña-Reyes E. , Téllez-García R.
Published: November 2019

At present, hydrocarbon leaks, generated mainly by corrosion of pipelines, cause large economic losses for Mexico. These leaks constitute a problem of serious consequences in Mexico and in other countries in the world. This work describes the results of the tests conducted on a new sensor cable for the detection and location of leaks in pipelines for transportation of hydrocarbons. When a liquid or gas enters in contact with the wall of the sensor cable, it causes a short circuit in the wires; changing the measurement of the resistance may detect and locate the leak. The new sensor cable that is presented in this article has advantages over cables with similar characteristic made in other countries. The use of this sensor cable in pipelines of PEMEX will avoid economic losses, environmental damage and risks of possible explosions to the population. The experimental results demonstrate these advantages.
Modeling of Radial Flow on a Non-Contact End Effector for Robotic Handling of Non-Rigid Material
Authors: Toklu E. , Erzincanli F.
Published: November 2019

In this study a numerical model on radial flow and pressure distribution showing regions of negative values which tend to levitate products is developed. The end effector operates on the principle of generating a high-speed fluid flow between the end effector and product surface thereby creating a vacuum which levitates the product. The Navier- Stokes equations and the equation of continuity describing the flow between the nozzle and material are numerically solved by finite volume discretization method. The lifting forces and conditions are discussed by comparing numerical results with experimental findings.
Alternative Diffuse Lighting and Specular Reflection Approach Using YIQ Color Space for 3D Scene Visualization Using Programmable HLSL Shaders
Authors: Kotsarenko Y. , Ramos F.
Published: November 2019

In this work an alternative approach for diffuse lighting and specular reflections is presented that uses YIQ color spaceinstead of traditional RGB color space. The classical illumination algorithms that rely on RGB color space may lead tounrealistic results either due to the fact that they cannot make the original color brighter (inherent limitation imposedby using the RGB color space) or produce incorrect shades when viewed from certain angles because in thecalculation of the specular reflection the original texture color is not taken into account.The approach proposed in this work gets around the problem by applying illumination in YIQ color space using its“luma” component (Y). In this novel approach the diffuse lighting is capable of increasing the perceived brightness ofthe source texture and the resulting color is always dependant on the surface’s texture and produces reasonablyrealistic results when viewed from any possible angle. The algorithm and its HLSL shader code are described in thiswork along with the experiments that illustrate the problem and the solution. The performance benchmarks are alsoprovided, showing that the proposed approach is a viable and realistic solution for applications running in real-time.
A Methodology to Simulate Induction Motor Dynamic Performance in the ABC Reference Frame Considering Mixed Eccentricity Effects
Authors: Flores-Angeles R. , Olguín-Salinas D.
Published: November 2019

This paper presents a methodology to compute the inductances of the abc induction motor model considering mixedeccentricity. The winding function method (WFM) is employed to calculate the magnetizing inductances. Moreover,the air gap is approximated by an expression which can consider the case mentioned before as well as the healthycase (i.e., with uniform air gap). Due to the fact that the dynamic performance of the machine depends strongly on itsinductances, some basic dimensions of a real machine are used and a comparison between different free accelerationcharacteristics is given such as currents, electromagnetic torque and speed.
Fingerprint Recognition Using Local Features and Hu Moments
Authors: Aguilar-Torres G. , Sánchez-Pérez G. , Toscano-Medina K. , Pérez-Meana H.
Published: November 2019

Person identification systems based on fingerprint patterns called Automatic Fingerprint Identification Systems, AFIS,are some of the most widely used biometric methods since they provide a high degree of success. The accuracy ofAFIS is mainly due to some unique characteristics called minutiae, which are points where a curve track finishes,intersects with another curve track, or branches off. During past decades several efficient minutia-based fingerprintrecognition algorithms have been proposed which achieve false recognition rates close to 1%, however, theirrecognition rate may be still improved. To this end, this paper presents a fingerprint recognition method using acombination of the Fast Fourier Transform (FFT) with Gabor filters for image enhancement. Next, fingerprintrecognition is carried out using a novel recognition stage based on Local Features and Hu invariant moments forverification.
Eigenvalue Analysis of a Network Connected to a Wind Turbine Implemented with a Doubly-Fed Induction Generator (DFIG)
Authors: Jazaeri M. , Samadi A.A. , Najafi H.R. , Noroozi-Varcheshme N.
Published: November 2019

Recently, the growing integration of wind energy into power networks has had a significant impact on power systemstability. Amongst types of large capacity wind turbines (WTs), doubly-fed induction generator (DFIG) wind turbinesrepresent an important percentage. This paper attemps to study the impact of DFIG wind turbines on the powersystem stability and dynamics by modeling all components of a case study system (CSS). Modal analysis is usedfor the study of the dynamic stability of the CSS. The system dynamics are studied by examining the eigenvaluesof the matrix system of the case study and the impact of all parameters of the CSS are studied in normal,subsynchronous and super-synchronous modes. The results of the eigenvalue analysis are verified by usingdynamic simulation software. The results show that each of the electrical and mechanical parameters of the CSSaffect specific eigenvalues.
FSM State-Encoding for Area and Power Minimization Using Simulated Evolution Algorithm
Authors: M. Sait Sadiq , C. Oughali F. , M. Arafeh A.
Published: November 2019

In this paper we describe the engineering of a non-deterministic iterative heuristic [1] known as simulated evolution(SimE) to solve the well-known NP-hard state assignment problem (SAP). Each assignment of a code to a state isgiven a Goodness value derived from a matrix representation of the desired adjacency graph (DAG) proposed byAmaral et.al [2]. We use the (DAGa) proposed in previous studies to optimize the area, and propose a new DAGpand employ it to reduce the power dissipation. In the process of evolution, those states that have high Goodness havea smaller probability of getting perturbed, while those with lower Goodness can be easily reallocated. States areassigned to cells of a Karnaugh-map, in a way that those states that have to be close in terms of Hamming distanceare assigned adjacent cells. Ordered weighed average (OWA) operator proposed by Yager [3] is used to combine thetwo objectives. Results are compared with those published in previous studies, for circuits obtained from the MCNCbenchmark suite. It was found that the SimE heuristic produces better quality results in most cases, and/or in lessertime, when compared to both deterministic heuristics and non-deterministic iterative heuristics such as GeneticAlgorithm.
Computer-Based Acoustic Detector for Determining the Type and Concentration of a Solution
Authors: M. Younes Tariq
Published: November 2019

The problem of determining the type and concentration of a solution is an important issue in food, medicaland chemical industries. In this paper, a work effort has been made to explore the possibility of designinga computer-based acoustic detector to determine the type and concentration of a solution. Signalconditioning and processing was carried out by using labVIEW (G Language) VIs. Experimental resultsshow that the produced acoustic signal frequency can be used as an informative parameter related withthe type and concentration of a solution. Also, linear range of measurement is found of 10g/100ml.Furthermore, acceptable results for common industrial applications are drawn with a maximum percentageerror of 3% compared with the conventional approach. As a result, such detector can be integrated withcontrol system in order to perform some control actions.
Produção de conhecimento e cotidiano: desafios para a pesquisa na afirmação da vida
Authors: Amorim Ana Karenina de Melo Arraes , Pereira Maria Teresa Lisboa Nobre
Published: November 2019

Ao considerar o contexto biopolítico contemporâneo, o artigo procura discutir a produção de conhecimentos no cotidiano junto às vidas “precarizadas”, a partir de uma experiência de pesquisa-intervenção com pessoas em situação de rua e usuários da rede de atenção psicossocial. A pesquisa teve como objetivo conhecer o cotidiano dessas pessoas, sua relação com as redes de saúde e de assistência social, fomentando autonomia e participação política, através da relação arte-cidade. Com base na perspectiva da Análise Institucional, foram propostas ações e espaços coletivos envolvendo pensamento, expressão artística e formação política, através da realização de oficinas, debates e rodas de conversa. Os achados indicam que a intercessão entre política, arte e cidade no encontro com essas vidas colocam em questão as formas instituídas de viver e pesquisar, desafiando a produção de novas formas de conhecimentos efetivamente comprometidos com a afirmação de todas as vidas.
Reparar nas coisas: de repente algo acontece e somos outro
Authors: Preciosa Rosane
Published: November 2019

O presente texto pretende partilhar algumas reflexões sobre o ato de pensar e escrever presente nas práticas acadêmicas atuais, que, na maioria das vezes, resultam em textos que operam uma quantidade enorme de informação e de citações, e, no entanto, a voz daquele que pensa e escreve encontra-se ausente. É como se pensar-escrever seguisse um protocolo do bom uso de citações de autores recomendados sem que com elas a escritura se deixasse contagiar. O texto, no seu decorrer, vai afirmando exatamente o contrário disso: antes de mais nada, pensa-se implicado nas questões que se adensam no campo político e social e que nos perturbam de tal modo que é impossível não se interrogar sobre o que está nos acontecendo. O tom ensaístico adotado me pareceu oportuno pois se empenha muito mais em propor questões, sugerir caminhos e partilhá-los, do que evocar alguma certeza definitiva sobre o que narra. Além do mais, encoraja desvios no modo de produção da escritura, na medida em que acompanha o pensamento acontecendo. O que, decerto, não evita o risco de contradições e inacabamentos.
If You Build It They Will Come…and Stay: A Community-Based Family Medicine Program
Authors: Whittaker Mary-Kay , Murdoch Stu , Rozmovits Linda , Abrahams Caroline , Freeman Risa
Published: November 2019

Introduction: In response to a government request to address physician shortages in underserved communities, the University of Toronto (U of T) established the Family Medicine Residency Program (FMRP) at the Royal Victoria Regional Health Centre (RVH) in Barrie, Ontario, Canada. Prior to establishing the FMRP, approximately 21% of Barrie residents did not have a family physician. This study investigated residents’ training experiences, strengths and opportunities for improvement of a community FMRP, reasons why graduates choose to work in Barrie after graduation, and graduates’ practice setting and location.
Methods: RVH graduates from 2011-2016 (N=45) were invited to participate. Semistructured one-on-one interviews sought insight into graduates’ experience in the program. We collected online survey data to gather demographic information. We determined current practice location using a government-funded data set and the public registry of the provincial licensing body.
Results: Analysis of qualitative data provided insights into an overwhelmingly positive educational experience that contributed to graduates choosing to stay and work in Barrie. Participants noted the wide range of hands-on training opportunities as a strength of the program. They perceived that the program added value to the local community by increasing capacity to provide care to an underserved patient population. Tracking data demonstrated that two-thirds of graduates continued to work in the RVH region after graduation.
Conclusions: The successful establishment of a new university-affiliated FMRP in an underserved community provides a strong mechanism to recruit physicians. Training in this setting provided excellent educational experiences to residents, who felt prepared to enter independent practice upon completion of training.
Szerzői láthatóság a hazai neveléstudományi folyóiratok hálózatában
Authors: Molnár Pál , Pintér Henriett
Published: November 2019

A szakmai és a tudományos közösségek működésének egyik legfontosabb fóruma a szakfolyóirat, ahol eltérő aktivitással publikálunk szerzőként. Ez meghatározó a láthatóságunk, azaz nevünk, munkánk ismertsége és elismertsége szempontjából. Figyelemgazdaságban élünk, ahol a láthatóság és az abból fakadó figyelem fontos a szakmai sikerességünkben. Emellett tapasztalt és pályakezdő szakemberként egyaránt lényeges, hogy tudatában legyünk, kik és milyen módon vannak jelen, láthatók szakterületünk diskurzusaiban. Tanulmányunkban a vezető hazai neveléstudományi folyóiratokban 1991 és 2016 között publikáló szerzők láthatóságának feltárásával foglalkozunk tudománymetriai és hálózattudományi eszközökkel. Vizsgáljuk a produktivitás, a társszerzők és a társszerzői együttműködések eloszlását, valamint a társszerzői kapcsolatteremtési képességet (fittség). Elemzéseinkben rámutatunk arra, hogy ezek a tényezők eltérő mértékű láthatóságot biztosítanak, melyek között azonban korrelációs kapcsolat mutatható ki. Összességében megállapíthatjuk, hogy nem csupán a kiemelkedő publikációs teljesítmény biztosíthat figyelmet, a társszerzői együttműködéseknek is jelentős a szerepe. Ezek eloszlása azonban jelentős eltérést mutat a szerzői hálózatban.

---

The Visibility of Authors in Hungarian Educational Journal Networks

Scientific journals are important forums of scientific and professional communities. Visibility in journals is important because we work in an attention economy. It could lead us to success through attention. Knowing who and how is present in our professional knowledge networks could help us to understand our positions in our professional communities. There are various conceptions of visibility. We refer to productivity and network presence of authors in publication networks. According to earlier scientometric and network research, in authorship networks distribution of productivity and co-authorship collaboration is unequal. Some authors are highly visible in the publication network, but many of them are on the periphery. We can measure visibility in various ways; we chose scientometric and network measures published in earlier studies. Our goal was to measure the visibility of authors (n=4281) who published in leading Hungarian educational journals (n=4) between 1991 and 2016. We focused on and compared the publication productivity, the co-authorship collaborators and collaborations as well as the co-authorship fitness of authors. Our results supported the assumptions of the powerlaw distribution of the measured indicators. Besides this, our analysis showed that the positions - the rankings of authors - is different in most of the measures, still we found moderate to strong correlations between them.

Keywords: scientific visibility, productivity, co-authorship, network analysis, journals, education, co-authorship fitness