bluuebunny/crossref_metadata_2025 huggingface dataset:
Conocimientos sobre la enfermedad y autocuidado de pacientes con Diabetes Mellitus Tipo 2*
Authors: Ortega Oviedo Stella , Berrocal Narváez Neila , Argel Torres Katiusca , Pacheco Torres Kati
Published: November 2019

Objetivo. Determinar los conocimientos y condiciones de autocuidado de pacientes con Diabetes Mellitus tipo 2. Materiales y métodos. Estudio descriptivo, transversal, cuantitativo, la muestra estuvo conformada por 41 pacientes con Diabetes Mellitus tipo 2 de una IPS de Montería, Colombia. Resultados. Mayoría de participantes estuvieron entre 48 a 77 años; nivel educativo primario y bachillerato, 20% analfabeta; 88% reside en zona urbana y 73% son femeninos. Los pacientes manifestaron conocer los cuidados básicos, sin embargo, 46% desconocen en que consiste su enfermedad y las complicaciones de la misma. La medicación, ejercicio y alimentación son los temas educativos que con mayor frecuencia les brindan en los controles; con relación al automonitoreo sólo la reciben aquellos pacientes que se administran insulina; más de la mitad de los pacientes manifestaron haber presentado complicaciones agudas o crónicas como hipertensión arterial, hipoglicemia, retinopatía y neuropatía. Conclusiones: Se evidencio deficiente conocimiento sobre la enfermedad y su autocuidado en los participantes del estudio, por lo que se hace necesario desarrollar estrategias e intervenciones de apoyo educativo teniendo en cuenta las características sociodemográficas, necesidades e individualidades de los pacientes que permitan apropiarse de los conocimientos para alcanzar un adecuado autocuidado y metas terapéuticas.
Sentimientos de depresión en personas mayores beneficiarios de un programa de extensión solidaria “salud familiar” Córdoba Colombia
Authors: Puello Alcocer Elsy , Sánchez Caraballo Álvaro , Rada Sabino Andrea , Argumedo Seña Meiry
Published: November 2019

Objetivo. Determinar sentimientos de depresión en personas mayores, beneficiarios de un Programa de Extensión Solidaria de Salud Familiar. Materiales y métodos. Estudio descriptivo, transversal con enfoque cuantitativo, la población estuvo conformada por 111 personas mayores de 60 años de sectores vulnerables, pertenecientes al Programa de Extensión solidaria “Salud Familiar” de la Universidad de Córdoba en la ciudad de Montería, la información se recolectó en el período comprendido entre 2016- II a 2018-I mediante base de datos alimentada con la Escala Yesavage de la historia clínica familiar. Resultados. El 80% de los sujetos de estudio habita en estrato socioeconómico I, el otro restante en estrato 2; los sentimientos de depresión se evidenciaron en 27.9% de las personas mayores, donde leve correspondió a 21.6% y depresión establecida a 6.3%, teniendo más representatividad el sexo femenino con 18%, el estado civil que exteriorizó mayores porcentajes de depresión fue: casadas 9% y unión libre 7.2%. Conclusiones. La mayoría de los adultos mayores no manifestó sentimientos de depresión. Se encontraron como factores protectores tener amigos, pertenecer a grupos sociales, religiosos, buena funcionalidad familiar e indudablemente pertenecer al Programa de Extensión solidaria “Salud Familiar de la Universidad de Córdoba”. Es perceptible el incremento de la depresión en la presencia de factores de riesgo tales como problemas de pareja, maltrato, disfuncionalidad familiar y pocas oportunidades de esparcimiento. Se concluye que las actividades educativas, asistenciales y recreativo-terapéuticas, desarrolladas durante 2 años continuos lideradas por estudiantes y docentes de Enfermería pudieron influenciar positivamente para evitar o disminuir sentimientos de depresión en esta población vulnerable
User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial
Authors: Edney Sarah , Ryan Jillian C , Olds Tim , Monroe Courtney , Fraysse François , Vandelanotte Corneel , Plotnikoff Ronald , Curtis Rachel , Maher Carol
Published: November 2019

Background

The success of a mobile phone app in changing health behavior is thought to be contingent on engagement, commonly operationalized as frequency of use.

Objective

This subgroup analysis of the 2 intervention arms from a 3-group randomized controlled trial aimed to examine user engagement with a 100-day physical activity intervention delivered via an app. Rates of engagement, associations between user characteristics and engagement, and whether engagement was related to intervention efficacy were examined.

Methods

Engagement was captured in a real-time log of interactions by users randomized to either a gamified (n=141) or nongamified version of the same app (n=160). Physical activity was assessed via accelerometry and self-report at baseline and 3-month follow-up. Survival analysis was used to assess time to nonuse attrition. Mixed models examined associations between user characteristics and engagement (total app use). Characteristics of super users (top quartile of users) and regular users (lowest 3 quartiles) were compared using t tests and a chi-square analysis. Linear mixed models were used to assess whether being a super user was related to change in physical activity over time.

Results

Engagement was high. Attrition (30 days of nonuse) occurred in 32% and 39% of the gamified and basic groups, respectively, with no significant between-group differences in time to attrition (P=.17). Users with a body mass index (BMI) in the healthy range had higher total app use (mean 230.5, 95% CI 190.6-270.5; F2=8.67; P<.001), compared with users whose BMI was overweight or obese (mean 170.6, 95% CI 139.5-201.6; mean 132.9, 95% CI 104.8-161.0). Older users had higher total app use (mean 200.4, 95% CI 171.9-228.9; F1=6.385; P=.01) than younger users (mean 155.6, 95% CI 128.5-182.6). Super users were 4.6 years older (t297=3.6; P<.001) and less likely to have a BMI in the obese range (χ22=15.1; P<.001). At the 3-month follow-up, super users were completing 28.2 (95% CI 9.4-46.9) more minutes of objectively measured physical activity than regular users (F1,272=4.76; P=.03).

Conclusions

Total app use was high across the 100-day intervention period, and the inclusion of gamified features enhanced engagement. Participants who engaged the most saw significantly greater increases to their objectively measured physical activity over time, supporting the theory that intervention exposure is linked to efficacy. Further research is needed to determine whether these findings are replicated in other app-based interventions, including those experimentally evaluating engagement and those conducted in real-world settings.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12617000113358; https://www.anzctr.org.au/ACTRN12617000113358.aspx
A Prison Education Counternarrative: “Mock Citizenship” in a Women’s Prison
Authors: Shabazz Sultana , Sohn Brian , Harness Melissa , Aronson Brittany
Published: November 2019

In this article, we develop a perspective on the purposes and possibilities of education in prison through the stories of the first author, a prison educator and critical pedagogue. In the context of today’s prisons, we complicate universalist notions of citizenship by weaving theories of citizenship into the story of education. We share the daily concerns of a prison educator and explore the transformative possibilities that women convict students try on. We question how to shape educational practices in prison and contemplate the construction of a new “mock citizenship” informed by the realities of felony disenfranchisement. Our hope is to bring to the conversation something that has been lacking when discussions of incarceration occur: insight into the ways incarcerated students perform the role of citizen and how the purpose of prison education must extend beyond job readiness toward the creation of full citizens able to participate in the democratic process.
Language Choice in Note-taking for C-E Consecutive Interpreting—An Empirical Study on Trainee Interpreters in China’s Mainland and Taiwan
Authors: Zhan Cheng
Published: November 2019

Based on features of language in note-taking for C-E consecutive interpreting, this research studies and analyzes possible reasons behind the language choice of trainee interpreters in consecutive interpreting. The research combines quantitative and qualitative methods, and conducts a questionnaire survey, consecutive interpreting experiments and semi-structured interviews with 12 trainee interpreters in China’s Mainland and Taiwan. The research shows that notes in language forms account for the largest percentage of notes taken in consecutive interpreting, and that language choice in note-taking cannot be totally explained using the “source language vs. target language” or “A language vs. B language” dichotomy, but is also influenced by efficiency of handwriting and interpreters’ training profile.
Budget Profile and Fiscal Policy in Morocco
Authors: Tahri Firdawss , Karim Mohamed , Tanjali Othmane
Published: November 2019

This paper examines the structural changes that have marked the profile of public finance since 2012, and list the main internal challenges that Morocco is facing in managing public finances. The second part is devoted to presenting four approaches (the effective tax rate, the marginal tax rate, the elasticity, the regression and the analysis of co-integration) used by international institutions to forecast fiscal revenues. Then we estimate deficit government income and expenditure in 2020 and 2021, considering two scenarios; a baseline and an alternative scenario. The results of the alternative scenario shows the sustainability of policy decisions that; (i) raise resources for growth stimulating sectors; infrastructure sector, education and health, scientific research and governance, and (ii) reduce energy uses while ensuring the shift towards cleaner energy.
L2 Proficiency and L2 Developmental Stages: A Learner Corpus Analysis
Authors: Yamaguchi Yumiko
Published: November 2019

This paper presents part of the results of a learner corpus study of English oral and written production by a large number of Japanese native speakers. Each participant was asked to perform two tasks, namely spoken and written narratives, using a picture book titled “Frog, where are you?” (Mayer, 1969) containing 24 wordless pictures. For the analyses in the current study, the data from 80 learners, focusing on audio-recorded and transcribed spoken narratives, was used. The Japanese learners’ speech production was examined based on Processability Theory (PT; Pienemann, 1998, 2005; Bettoni & Di Biase, 2015) as well as on the Common European Framework of Reference for Languages (CEFR; Council of Europe, 2001). Results show that there is a correlation between second language (L2) proficiency levels and L2 developmental stages in a learner corpus of L2 spoken English. On the other hand, the dispersion is found to increase at higher stages as shown in previous studies (e.g., Granfeldt & Ågren, 2013; Hagenfeld, 2017).
Efficient agent-based negotiation by predicting opponent preferences using AHP
Authors: Kiruthika Usha , Somasundaram Thamarai Selvi
Published: November 2019

Negotiation is a process essential for a wide range of applications. The complex decision making involved in negotiation makes its automation difficult. The complexity is further increased as negotiators hide their individual preferences from each other to avoid exploitation by the opponent. Even though sharing of private preference information leads to better agreement for both sides, it is never done in the absence of trust. In this work, we learn opponent’s preference information from the offers given by the opponent using Analytic Hierarchy Process (AHP). We apply our approach to the negotiation of Quality-of-Service (QoS) parameters for the establishment of Service Level Agreements (SLA) between a provider and a consumer. Experiments show that using AHP, the negotiations are faster and the agreements are on or nearer to the pareto-optimal line.
A HARDWARE IMPLEMENTATION OF PUNGURED CONVOLUTIONAL CODES TO COMPLETE A VITERBI DECODER CORE
Authors: Garda E. , Guzmán M. , Torres D.
Published: November 2019

This paper presents a VLSI (Very Large Scale Integration) implementation of high punctured convolutional codes.We present a new circuit architecture that is capable of processing up to 10 convolutional codes rate (n-1)/n withthe constraint length-7 derived by the puncturing technique from the basic rate-1/2. The present circuit wasdesigned in order to complete an existing Viterbi decoder core, adding some extra functionality such as aconvolutional encoder, differential encoder/decoder, punctured convolutional encoder and symbol insertion todepuncture the received data. This extra functionality includes 10 different programmable coding rates without theneed to add additional logic in the system implementation, while other existing coders need it to attain highercoding rates. Therefore, a single chip solution is presented. The design was implemented in VHDL (Very High SpeedIntegrated Circuit Hardware Description Language) synthesized in Synopsys tool, and tested in a FPGA. Functionalverification was done, by means of simulation, to ensure that the circuit implements intended functionality. Suchsimulations were executed using Synopsys and a Sun Ultra Sparc 10 workstation. Different bit error probabilityperformance curves show an agreement between simulated and theoretical values.
A2× voltage generator analytical model
Authors: Vargas-Calderón E. , Sandoval-Ibarra F. , Montoya-Suárez E. , Corona-Murguí­a O.
Published: November 2019

Since portable systems and processing power applications demand efficient power consumption, this paper deals with the development of an analytical model based on the on-resistance effect of MOS switches to design a silicon-based char-pump voltage generator (VG). This model that is developed for adding design parameters under the designer’s control is a useful design tool to quickly estimate the VG’s performance in the time domain. Numerical results are compared with transistor-level simulation to validate not only the analytical model, but also to estimate the integration area of a silicon-based VG. It was found that an on-resistance ranging from zero to 50 Ω presents a relative error of 2%. Experimental results show the usefulness of the proposed design model.
A FPGA implementation of solder paste deposit on printed circuit boards error detector based in a bright and contrast algorithm
Authors: De Luca-Pennacchia A. , Sánchez-Martí­nez M. Á.
Published: November 2019

Solder paste deposit on printed circuit boards (PCB) is a critical stage. It is known that about 60% of functionality defects in this type of boards are due to poor solder paste printing. These defects can be diminished by means of automatic optical inspection of this printing. Actually, this process is implemented by image processing software with its inherent high computational time cost. In this paper we propose to implement a high parallel degree image comparison algorithm suitable to be implemented on FPGA, which could be incorporated to an automatic inspection system. The hardware implementation of the algorithm allows us to fulfill time requirements demanded by industry.
A Silicon Magnetic-Field Sensor: Low-Temperature Performance Evaluation
Authors: Garcí­a-Ramí­rez P.J. , Sandoval-Ibarra F. , Gutiérrez-Domí­nguez E.A.
Published: November 2019

A Si magnetic field-sensitive split-drain MOSFET has been used to study and analyze the effects of a magnetic field on the charge carrier conduction at liquid-nitrogen temperature. In magnetic field sensors (MFS), a key parameter is the Hall angle, which indicates the current line deviation due to the Lorentz force acting on the charge carriers. If temperature is lowered, the carrier mobility increases, therefore, an increase in carrier deflection is expected. To understand the internal deflection of carriers, and optimize the design of a magnetic field sensor, a semi-analytic model has been developed. Using such a model, a MFS has been fabricated and tested. The first experimental results are presented in this work.
Pattern Classification of Decomposed Wavelet Information using ART2 Networks for echoes Analysis
Authors: Solí­s M. , Bení­tez-Pérez H. , Rubio E. , Medina-Gómez L. , Moreno E. , Gonzalez G. , Leija L.
Published: November 2019

The Ultrasonic Pulse-Echo technique has been successfully used in a non-destructive testing of materials. To perform Ultrasonic Non-destructive Evaluation (NDE), an ultrasonic pulsed wave is transmitted into the materials using a transmitting/receiving transducer or arrays of transducers,that produces an image of ultrasonic reflectivity. The information inherent in ultrasonic signals or image are the echoes coming from flaws, grains, and boundaries of the tested material. The main goal of this evaluation is to determine the existence of defect, its size and its position; for that matter, an innovative methodology is proposed based on pattern recognition and wavelet analysis for flaws detection and localization. The pattern recognition technique used in this work is the neural network named ART2 (Adaptive Resonance Theory) trained by the information given by the time-scale information of the signals via the wavelet transform. A thorough analysis between the neural network training and the type wavelets used for the training has been developed, showing that the Symlet 6 wavelet is the optimum for our problem.
Ring CMOS NOT-based Oscillators: Analysis and Design
Authors: Sandoval-Ibarra F. , Hernández-Bernal E. S.
Published: November 2019

This paper presents design hints in CMOS ring oscillators based on NOT gates. The NOT gate is used as vehicle to introduce basics on signal propagation and also to present simple design models. Both simulation and experimental results are presented in order to show the usefulness of the design models. However, for high frequency oscillators several design strategies that are translated at layout level are also described not only to minimize undesirable effects, but also for testing the circuit under study (CUS).
Characterization of the powder obtained from wasted tires reduced by pyrolysis and thermal shock process
Authors: Mis-Fernandez R. , Azamar-Barrios J.A. , Rios-Soberanis C.R.
Published: November 2019

This paper reports on the physicochemical characterization of solid powder obtained directly from wasted tires through pyrolysis and thermal shock process. Two different processes to reduce wasted tires were performed in order to acquire the residuals in powder to be characterized and compared.During this research, three phases were observed when pyrolysis was applied to rubber: the first one a solid black phase formed by organic and inorganic compounds such as zinc oxide (ZnO) and zinc sulphur (ZnS); secondly a gaseous phase containing hydrocarbons i.e. aromatic compounds and, finally, a liquid phase formed by heavy and light oils. By using X-ray diffraction technique, the relationship between temperature and the presence of inorganic compounds was determined varying the temperature of pyrolysis. In addition to X-ray diffraction, infrared spectroscopy, thermal analysis and scanning electron microscopy were used to fully characterize the samples. Comparing the results observed in both processes, it was found that thermal shock process presents some advantages over the pyrolytic, i.e. energy consume and solid black phase production; however, by pyrolytic egradation a powder richer in carbon compounds is obtained.
Evaluation algorithm for a decomposed simplicial piecewise-linear formulation
Authors: Jiménez-Fernández V.M. , Agustí­n-Rodrí­guez J. , Marcelo-Julián P. , Agamennoni O.
Published: November 2019

In this work an algorithm for the evaluation of N-dimensional piecewise-linear (PWL) functions is presented. The type of PWL representation which is considered is the denominated simplicial representation that is defined in a N-dimensional domain partitioned by hyperplanes and divided into simplices. The algorithm performs a local function computation into the specific simplex where the evaluation point is found. The simplicial PWL (S-PWL) interpolating equations are collected into a matrix system which adopts the form of the decomposed PWL models. The algorithm works directly with this decomposed model and determines the value of the S-PWL function simply by its values on the vertices.
Alternative methods of calculation of the pseudo inverse of a non full-rank matrix
Authors: Murray-Lasso M. A.
Published: November 2019

The calculation of the pseudo inverse of a matrix is intimately related to the singular value decomposition which applies to any matrix be it singular or not and square or not. The matrices involved in the singular value decomposition of a matrix A are formed with the orthogonal eigen vectors of the symmetric matrices ATA and AAT associated with their nonzero eigenvalues which forms a diagonal matrix. If instead of using the eigenvectors, which are difficult to calculate, we use any set of vectors that span the same spaces, which are easier to obtain, we can get simpler expressions for calculating the pseudoinverse, although the diagonal matrix of eigenvalues is filled. All numerical work to obtain the pseudo inverse whose components are rational numbers when the original matrix is also rational reduces to elementary row operations. We can, thus, generalize the least-squares/ minimum-length normal equations for full-rank matrices and solve said problems and obtain the pseudo inverse in terms of A and AT. without solving any eigen problems or factoring matrices.
Automatic synthesis of 2D‐n‐scrolls chaotic systems by behavioral modeling
Authors: Muñoz-Pacheco J. M. , Tlelo-Cuautle E.
Published: November 2019

This paper introduces the guidelines to synthesize 2D chaotic systems by means of high‐level descriptions. The aim of this investigation is to synthesize 2D‐n‐scrolls chaotic systems based on saturated functions with multisegments. The new methodology of circuit synthesis is performed by three hierarchical levels. First, the 2D chaotic oscillator is numerically simulated at the electronic system level by applying state variables and piecewise‐linear approximation. Second, the excursion levels of the chaotic signals are scaled to control the breaking points and slopes of the saturated functions within practical values. Additionally, the frequency scaling of 2D‐n‐scrolls chaotic attractors is performed. Finally, current and voltage saturated functions are synthesized using Verilog‐A models for the operational amplifiers and in this manner a 2D chaotic system is synthesized using operational amplifiers to generate 2D‐n‐scrolls attractors. Numerical results are confirmed by H‐SPICE simulations to show the usefulness of the proposed synthesis approach.
Linear programming embedded particle swarm optimization for solving an extended model of dynamic virtual cellular manufacturing systems
Authors: Rezazadeh H. , Ghazanfari M. , Sadjadi S. J. , Aryanezhad Mir.B. , Makui A.
Published: November 2019

The concept of virtual cellular manufacturing system (VCMS) is finding acceptance among researchers as an extension to group technology. In fact, in order to realize benefits of cellular manufacturing system in the functional layout, the VCMS creates provisional groups of resources (machines, parts and workers) in the production planning and control system. This paper develops a mathematical model to design the VCMS under a dynamic environment with a more integrated approach where production planning, system reconfiguration and workforce requirements decisions are incorporated. The advantages of the proposed model are as follows: considering the operations sequence, alternative process plans for part types, machine timecapacity, worker time‐capacity, cross training, lot splitting, maximal cell size, balanced workload for cells and workers. An efficient linear programming embedded particle swarm optimization algorithm is used to solve the proposed model. The algorithm searches over the 0‐1 integer variables and for each 0‐1 integer solution visited; corresponding values of integer variables are determined by solving a linear programming sub‐problem using the simplex algorithm. Numerical examples show that the proposed method is efficient and effective in searching for near optimal solutions.
Simulation of a parallel mechanical elbow with 3 DOF
Authors: Mendoza-Vázquez J. R. , Tlelo-Cuautle E. , Vázquez-Gonzalez J.L. , Escudero-Uribe A. Z.
Published: November 2019

The kinematics simulation and modeling of a mechanical elbow of 3 degrees of freedom, is introduced by highlighting the main features of the mechanism related to the design criteria. The mechanical elbow is used as a transhumeral prosthetic part, and it has been built as a parallel topology consisting of electric linear actuators and universal joints. The parallel mechanism has 4 legs. 3 are electric linear actuators, and the fourth leg provides mechanical support for the whole structure and holds a DC Motor that performs the action of gripping objects. Furthermore, this paper shows the inverse kinematics for the elbow by geometric methods, and the MatLab‐simulation results show the workspace of the movement and the ability of the mechanical elbow to replicate the movements of a biological one.
Polygonal Approximation of Contour Shapes Using Corner Detectors
Authors: Sánchez-Cruz Hermilo , Bribiesca Ernesto
Published: November 2019

A great amount of corner detectors that appear in literature are based on using the Freeman chain code of eight directions, which is used to represent contour shapes. We propose a new method for corner detection based on a three-symbol chain code representation, which requires lower storage memory and an easy way to obtain shape corners. We compare it with five existing methods, which are well known in the literature, giving our method a better performance. Furthermore, in order to reconstruct the original shapes through polygonal approximations, we propose an error parameter to quantify the efficiency. This can be accomplished by considering the redundancy of points produced when looking for corners and when computing the difference between the original region and the approximated polygon.
A Novel Topological Multicast Routing Algorithm (ToMuRo)
Authors: Aquino Santos R , Villaseñor González L A , Rangel Licea V , González Potes A , García Ruiz M A , Edwards Block A
Published: November 2019

This paper presents a performance analysis of an enhanced version of the Topological Multicast Routing Algorithm (ToMuRo) on mobile wireless ad‐hoc networks, which includes undecided border nodes. Employing undecided border nodes to forward multicast packets represents a significant enhancement because it optimizes the path discovery process by selecting undecided nodes that can function as multicast relay nodes. Flooding Mechanism and On‐Demand Multicast Routing Protocol (ODMRP) are simulated and compared with both the basic and enhanced versions of the Topological Multicast Routing algorithm. The scenario evaluated considers one multicast transmitter and one, two, and three multicast receivers with various mobility patterns and transmission ranges. The behavior of 250 nodes is evaluated in terms of End to End Delay (EED), jitter, packet delivery ratio, and overhead. Results reveal that the enhanced version of ToMuRo performs better in terms of packet delivery ratio and jitter, while ODMRP performs better with respect to EED and Overhead.
Cross‐Layer optimization of the packet loss rate in mobile videoconferencing applications
Authors: Rivera Rodríguez R , Olivares Domínguez O E , SerranoSantoyo A
Published: November 2019

Videoconferencing transmission over wireless channels presents relevant challenges in mobile scenarios at vehicular speeds. Previous contributions are focused on the optimization of the transmission of multimedia and delay‐sensitive applications over the forward link. In this paper, a new Quality of Service (QoS) parameter adaptation scheme is proposed. This scheme applies the Cross‐Layer Design technique on the reverse link of an 1xEV‐DO Revision 0 channel. As the wireless channel parameters and the vehicle speed have significant influence in the network layer packet loss rate, it is proposed that the data rate generated by the application adapts itself to the throughput offered by the lower layers as a function of such packet loss rate. Simulations of the proposed model show a significant reduction in losses caused by wireless channel impairments and vehicle mobility, resulting in an improvement in the performance of the mobile videoconferencing session.
Application of nonlinear compensation to limit input dynamic range in analog optical fiber links
Authors: Rodriguez J. , Velazquez J. , Garduno R. , Montero J.
Published: November 2019

The dynamic range of a signal at the input of a measurement system during a short circuit test is increased several times by the nominal input voltage. Saturation of the measurement system may occur in a device under failure test. This paper introduces the application of a nonlinear compensation to limit the voltage range at the input of a voltage controlled oscillator which is used to produce the pulsed frequency modulation needed to transmit the analog signals over the optical fiber links. The proposed dynamic range compensation system is based on non-linear circuits to accommodate the input range of the voltage controlled oscillator. This approach increases the transient signal handling capabilities of the measuring system. This work demonstrates that the nonlinear compensated optical fiber approach yields a unique, electrically isolated, lightning-proof analog data transmission system for remote measuring systems in the highly aggressive EMI environment of high-power test laboratories.
Detection of mixed-culture growth in the total biomass data by wavelet transforms
Authors: Rosu H.C. , Murguía J.S. , Ibarra-Junquera V.
Published: November 2019

We have shown elsewhere that the presence of mixed-culture growth of microbial species in fermentation processes can be detected with high accuracy by employing the wavelet transform. This is achieved because the crosses in the different growth processes contributing to the total biomass signal appear as singularities that are very well evidenced through their singularity cones in the wavelet transform; however, we used very simple two-species cases.In this work, we extend the wavelet method to a more complicated illustrative fermentation case of three microbial species for which we employ several wavelets of different number of vanishing moments in order to eliminate possible numerical artifacts. Working in this way allows filtering in a more precise way the numerical values of the Hölder exponents; therefore, we were able to determine the characteristic Hölder exponents for the corresponding crossing singularities of the microbial growth processes and their stability logarithmic scale ranges up to the first decimal in the value of the characteristic exponents. Since calibrating the mixed microbial growth by means of their Hölder exponents could have potential industrial applications, the dependence of the Hölder exponents on the kinetic and physical parameters of the growth models remains as a future experimental task.
Impact of Delay Spread on IEEE 802.15.4a Networks with Energy Detection Receivers
Authors: Medina P. , Gallardo J. R. , Sánchez J. , Ramírez-Mireles F.
Published: November 2019

This work analyzes the impact of delay spread on IEEE 802.15.4a networks using energy detection (ED) receivers.Specifically, we review the typical values for delay spread in Ultra Wide Band (UWB) systems reported to date for indoor, outdoor and industrial environments, and study how the delay spread impacts the bit-error rate with and without Multiuser Interference (MUI).
Impacts of Genetic Algorithm Parameters on the Solution Performance for the Uniform Circular Antenna Array Pattern Synthesis Problem
Authors: Yaman F. , E. Ylmaz A.
Published: November 2019

In this paper, the uniform circular antenna array pattern synthesis problem is solved by means of the real coded genetic algorithm (GA). At the same time, the impacts of the mutation rate and the crossover position on the GAperformance are also investigated. For this purpose, a circular antenna array with uniformly spaced isotropic elements having identical excitation amplitudes is used as a model. Unlike the conventional GA (with fixed mutation rate and random crossover positions), typical GA implementations with variable mutation rate and restricted crossover position are considered for performance improvement. In conclusion, for the specific problem, decreasing mutation rate with negative derivative is observed to be outperforming the implementations with different mutation rate behaviors. Moreover, regarding the crossover technique, it is observed that imposing some restrictions on the crossover positions (rather than fully random position selection) yields better solutions.
Determining a Checkout Register Opening Policy to Maximize Profit In convenience Stores Chains
Authors: Ruelas-Gonzalez E. , Limon-Robles J. , Smith-Cornejo N.
Published: November 2019

A major concern for convenience store managers is lost sales due to balking. Convenience stores customers pay high margins expecting fast service. If waiting lines are too long for their tolerance level at their arrival, they balk and the sale is lost as a result. In order to reduce lost sales, the length of the waiting line is usually controlled by opening additional checkout registers when the number of customers standing in the line exceeds a specified number and maintaining them open until they are no longer needed . This paper presents an applied approach to model the probability that customers actually enter the store and define the optimal opening level (N-policy) of the second checkout register based on several factors including the particular waiting line length tolerance level of usual customers, the average hourly arrival rate of customers to the store and the average gain per customer transaction.Several performance measures are computed. The total expected cost function per unit time is proposed to determine the optimal operating N-policy at minimum cost. The model is applied in a real case of a convenience store chain.
Noise Effect Reduction on a MEMS Based AC Voltage Reference
Authors: Sadat Hashemipour Samane , Abolfazl Suratgar Amir , Hoseini Hamid
Published: November 2019

This paper presents a new method in order to reduce noise effect in an AC voltage reference source. The AC voltage reference source is implemented on MEMS technology. It uses capacitive MEMS technology. The reference is based on the characteristic AC current-voltage curve MEMS component. The multilayer neural network is used. The neural network (NN) uses the Levenberg-Marquardt (LM) method for training. The noise effect on an electronic circuit is investigated. The simulation results are very promising.
Symbolic Analysis of OTRAs-Based Circuits
Authors: Sánchez-López C. , Martínez-Romero E. , Tlelo-Cuautle3 E.
Published: November 2019

A new nullor-based model to describe the behavior of Operational Transresistance Amplifiers (OTRAs) is introduced.The new model is composed of four nullors and three grounded resistors. As a consequence, standard nodal analysis can be applied to compute fully-symbolic small-signal characteristics of OTRA-based analog circuits, and the nullorbased OTRAs model can be used in CAD tools. In this manner, the fully-symbolic transfer functions of several application circuits, such as filters and oscillators can easily be approximated.
Development of a Synchronous-Generator Experimental Bench for
Authors: Arjona M.A. , Gonzalez M. Cisneros , Hernandez C.
Published: November 2019

This paper presents the development of an experimental bench for performing time-domain tests on synchronousmachines at standstill. The test bench allows the collection of experimental data which can then be used in theparameter estimation of mathematical models of synchronous motors and generators. The system development isbased on the LabVIEW programming language. It effortlessly allows the calibration of voltage and current sensors, thed-q magnetic axis positioning of the synchronous generator, and the spectral analysis from the collected data. In addition, the testing environment includes non-sophisticated instrumentation elements and a power amplifier. Thisexperimental bench has a friendly user interface which guides the user throughout a defined methodology to allow theachievement of the different time domain tests on synchronous machines. A 7kVA, 220V, 60Hz synchronousgenerator was used to show the functionality and usefulness of the test bench in research and teaching electricalmachine theory
Numerical and Experimental Analysis in the Manipulation of the Mechanical Properties for Enhancing the Mechanical Resistance of a Material
Authors: Urriolagoitia-Sosa G. , Molina-Ballinas A. , Urriolagoitia-Calderón G. , Hernández-Gómez L. H. , Romero-Ángeles B. , Michtchenko A.
Published: November 2019

The evolution and development of mankind has been partly possible thanks to the transformation of diverse types ofmaterials and the manipulation of their mechanical properties. This work is focused on numerical and experimentalevaluations of the improvement of the mechanical resistance of one material (AISI 316L) through the application ofstrain hardening and a residual stress field induction. Additionally, the state of the stresses in the component isdetermined by the application of the Crack Compliance Method, a destructive method based on the FractureMechanics Theory. The relevance of the work lies on the implementation of a new methodology which can be used toimprove the mechanical resistance of the component by altering the state of the mechanical properties of thismaterial. This research also demonstrates that strain hardening and induction of a residual stress field must beperformed carefully or it could result in a component susceptible to failure. In this respect, bending tests are proposedto provide tensile and compressive stress profiles and to corroborate previous history loading on the material
Network Coding Based Security for Routing Attacks in WRN: Frechet Interference and Rayleigh Outage Evaluation
Authors: Villalpando-Hernández R. , Vargas-Rosales C. , Muñoz-Rodríguez D. , Rodríguez J. R.
Published: November 2019

We present a network coding security method capable of detecting several routing attacks in wireless reconfigurablenetworks. Routing security attacks include selective forwarding, black holes, and wormholes. The proposed methodperforms linear network coding over intermediate nodes composing a given route, not only to distribute content, butalso to provide data confidentiality by cooperation as a mechanism of detection. The method presents a robust,accurate and fast response under security attacks for varying network conditions, such as interference and outagedue to channel fading. It also provides a gain in network throughput by increasing the number of successfully receivedpackets without a significant increase of the bandwidth usage
Combining Artificial Intelligence and Advanced Techniques in Fault-Tolerant Control
Authors: Vargas-Martínez A. , Garza-Castañón L. E.
Published: November 2019

We present the integration of artificial intelligence, robust, nonlinear and model reference adaptive control (MRAC)methods for fault-tolerant control (FTC). We combine MRAC schemes with classical PID controllers, artificial neuralnetworks (ANNs), genetic algorithms (GAs), H∞  ∞  ∞ ). The third scheme is an MRAC controller with a sliding mode controller (SMC). The fourth scheme is an MRAC controller with an ANN. The fifth scheme is an MRAC controller with a PID controller optimized by a GA. Finally, thelast scheme is an MRAC classical control system. The objective of this research is to generate more powerful FTCmethods and compare the performance of above schemes under different fault conditions in sensors and actuators.An industrial heat exchanger process was the test bed for these approaches. Simulation results showed that the useof Pattern Search Optimization and ANNs improved the performance of the FTC scheme because it makes the controlsystem more robust against sensor and actuator faults.control(H controls and sliding mode controls. Six different schemas are proposed: the first one is an MRAC with an artificial neural network and a PID controller whose parameters weretuned by a GA using Pattern Search Optimization. The second scheme is an MRAC controller with an H
A Fast Simulation Method for Wave Transformation Processes In Coastal Zones
Authors: Herrera-Díaz I.E , Couder-Castañeda C. , Ramírez León H.
Published: November 2019

We develop a numerical model based on the mild-slope equation of water wave propagation over complexbathymetrys, taking into account the combined effects of refraction, diffraction and reflection due to protectionstructures. The numerical method was developed using a split proposed version of the mild-slope equation in ellipticalform and solved by an implicit method in a finite volume mesh, this technique easily allows the modeling of the wavetransformations caused by the protection structures in coastal waters, where industrial and other economic activitiestake place. Study cases controlled have been made and the results match very well with the reference solution. Thecapability and utility of the model for coastal areas are illustrated by its application to the breakwater of the LagunaVerde Nuclear Power Plant (LVNPP) and the protection structure of the Nautical Marine named “Los Ayala”.
Design of a Teleoperated Aquatic Vehicle for the Gauging of Water Bodies
Authors: Díaz-Gut C.E. , Garduño-Gaffare M.P. , Segovia-De los Ríos J.A. , Benítez-Read J.S.
Published: November 2019

The sampling and flow measurement of rivers is a very complex task, not only because of the amount of equipment tobe carried and the parameters to be measured, but also because of the health risk involved for people who have toperform this activity frequently. For this reason, a flow measurement system named as SA-1 (Gauging System SA-1)has been designed, and built and, proposed as an innovative alternative, which is a teleoperated watercraft. Thisarticle describes this system and its mathematical models.
Experimental Results of the Superluminescent Fiber Laser Sources for Fiber Optic Sensors
Authors: Pinzón-Escobar E. F. , Sandoval-Romero G. E.
Published: November 2019

We are presenting experimental work on an erbium-doped fiber operating in the superluminescent regime.Experimental results for different pump power levels and fiber length show that the theoretical and numerical modelcould render useful information for predicting the total output power as a function of fiber doped length and the inputpump power. These types of sources could have direct application in wavelength multiplexed arrangements of fibersensors, fiber gyroscopes or, in general, in any sensors in which a broad wavelength and stable light source isrequired.
A Wavelet Approach to Estimate The Quality of Ground Parts
Authors: Rubio E. , Jáuregui-Correa J.C.
Published: November 2019

The manufacturing process of metal parts is subjected to machining instabilities that can degrade the surface finishquality and the reliability of products. Some instabilities are of transient nature and traditional inspection systems areunable to adequately estimate the grade of affectation in the finished parts. Time-frequency analyses are techniquesthat overcome these limitations and have recently been incorporated in special industry inspection equipment toimprove the quality of the manufactured parts. Grinding is a process used to get high precision and very smoothsurface in flat or cylindrical parts because of the target applications such as the automotive industry where the higheststandards can be found. This paper reports a technique to estimate the quality of ground parts based on timefrequencytransforms that are used to enhance the defects. This makes it easier to implement the technique forsurface characterization in online pass/no-pass inspection machines. The fundamentals of the methodology arerevised and the technique is applied to the identification of vibration marks in cylindrical ground rods. Results showthat this approach identifies adequately imperfections of transient nature and it is able to estimate the extension andamplitude of the defects on the surface of the manufactured parts.
Determination of Phase Transition by Principal Component Analysis Applied to Raman Spectra of Polycristalline BATIO3 at Low and High Temperature
Authors: Mejía-Uriarte E.V. , Sato-Berrú R.Y. , Navarrete M. , Kolokoltsev O. , Saniger J. M.
Published: November 2019

Este trabajo describe el análisis de las componentes principales (PCA) aplicados a los espectros Raman del BaTiO3como función de la temperatura. Durante el experimento las muestras fueron calentadas continuamente y losespectros Raman fueron registrados cada 0.5 °C a una razón de 0.1 °C por minuto. Este procedimiento es aplicadopara muestras de polvo compacto de BaTiO3 para obtener su comportamiento térmico de -190 °C a 230 °C. Latécnica del PCA fue capaz de distinguir características espectrales para determinar la temperatura de la transición defase y la historia térmica completa, incluyendo las transiciones de fase estructural: romboédrica a ortorrómbica at -100 °C, ortorrómbica a tetragonal at -5°C y tetragonal a cúbica at 121 °C.
Implementation of Polyvynil-Alcohol Mixed With Nano-Particles as a Near Representation of Biological Tissue: Ultrasonic and Photo- Thermal Study
Authors: Quispe-Siccha R. M. , Reyes-Ramírez B. , García-Segundo C. , Hevia-Montiel N. , Arámbula-Cosío F. , Sato-Berrú R. , Flores-Flores J. O.
Published: November 2019

We present experimental results related to the manufacturing of phantoms based on polyvinyl-alcohol (PVA) mixedwith SiO2, graphite and Ag nanoparticles. These phantoms are dummy representations of the human tissue of thebreast gland. We focus our attention on the representation of the optical and the mechanical properties of the actualbiological healthy tissue and of that representing a hidden cancer tumor (lesion). The quality of the samples is testedby ultrasonic imaging and laser induced photothermal (PT) detection technique. From the former test, the mechanicalcontrast that one can achieve is apparent. Instead, the laser detection technique makes it possible to determine thatthe optical contrast is achievable. For the laser induced PT method we register the so-called photothermal amplitudes,rather known as photoacoustic (PA) signals. These are the ultimate expression of laser-induced bursts ofphotothermal processes, whose engine is the fraction of the optically absorbed energy that decays through nonradiativechannels. In our case we look for the conditions at which the PT phenomena are produced by a hiddendummy-tumor alone; meaning that the output signals are nearly free from substantial contributions from the bulk of thephantom. This is so as to mimic the actual mechanical and optical absorption performance of breast tissue with aninner cancer tumor. From the ultrasound images one can see how apparent the resemblance with the actual humantissue is.
Robust MPEG Watermarking in DWT Four Bands
Authors: E. Elbaşı
Published: November 2019

In this paper, we generalize an idea in a recent paper that embeds a binary pattern in the form of a binary image in the wavelet domain for images. Our generalization includes all four bands (LL, LH, HL and HH) in the DWT for MPEG video sequences. We tested the proposed algorithm against twelve attacks. Embedding the watermark in lower frequencies is robust to one group of attacks, and embedding the watermark in higher frequencies is robust to another group of attacks.