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This book constitutes the proceedings of the First International Conference on Computer and Communication Engineering, ICCCE 2018, held in Guayaquil, Ecuador, in October 2018.

The 12 full papers presented were carefully reviewed and selected from 68 submissions. The papers deal with topics such as networking protocols and performance; software engineering; information systems; and computational intelligence. They are organized in the following topical headings: communications; and computer and software engineering.





Platform Model for the Integration of Users with Distributed Energy Resources in Distribution Networks

This paper shows the design phases of a platform model for the integration of users with distributed energy resources (DER) in a distribution network. DER considered are the demand response (DR) and the distributed generation (DG). The paper shows how, through the integration platform, users can become providers of services and energy for the network. For the administration of the platform, there is an integrating agent that interacts with the users and the network operator. The UML (Unified Modeling Language) methodology was used for design.
Luis A. Arias, Edwin Rivas, Francisco Santamaria

Evaluation of Digital Terrestrial Television as a Tool for Supporting Dyslexia Therapies

The sole purpose of this study is to evaluate the outcome of the feasibility involved with the ergonomic and key point of view that incorporate the Digital Terrestrial Television (DTT) technologies as an add-on tool supporting therapies for children with Developmental or Evolutionary Dyslexia, taking this as a case study for children of TecnoMedic Rehabilitation Center of Medical Technology School of Universidad de Guayaquil. The DTT application was developed based on basic therapy composed of four levels of complexity on which were proposed by the speech therapists of the Medical Technology School of Universidad de Guayaquil. Three variables were determined for their analysis with respect to the reeducation of the perceptive-motor, language and reading. The data was obtained before, during and after the use of the software for which a satisfactory of compliance survey was also carried out for children and speech therapists. Considering that Ecuador adhered to the Brazilian DTT standard, the technological tools used were those proposed by the creators of such standard.
Eduardo Antonio Alvarado Unamuno, Christian Roberto Antón Cedeño, Jenny Elizabeth Arízaga Gamboa, Jorge Chicala Arroyave

Integrated Wireless Prototype with Monitoring Applications to Measure Water Quality in Shrimp Farms

In shrimp farming, ponds or pools are considered the habitat where shrimp grow and develop. In this ecosystem, shrimp are affected by biochemical, climate agents and deficient maintenance. Those situations cause diseases, death of the species and eventually monetary losses to the aquaculture industry. To face this problem, a monitoring system for shrimp pools is proposed. The system will be constructed with wireless technology and sensors to monitor the main physico-chemical parameters in the shrimp farming process. This proposal aims to contribute saving resources that are involved in the processes of shrimp farming as well as meeting the need to remotely obtain real time information, allowing to make critical decisions and ensuring optimal harvest with minimum losses.
Renato Conforme, Roberto Crespo, María Argüello-Vélez, Maria Fernanda Molina-Miranda, Ericka Yanez

Real Time Automatic Andon Alerts for Android Platforms Applied in Footwear Manufacturing

In recent years, there has been a substantial technological improvement in industrial control rooms that monitor manufacturing processes. Real-time systems for monitoring in traditional production are static since they are handled from an office. For this reason it is very important to develop a mobile application that allows capturing and visualizing information in different company areas in a dynamic way. The objective of this research is to develop an industrial software module based on the Andon System oriented to footwear industry that consists of an Android mobile application that consumes the information managed in the planning and production programming modules. The module has a website that monitors in real time the status of the industrial facility and the progress of scheduling based on lean manufacturing techniques for notification, emission and visualization of unscheduling stoppages presented during production. The experimental results show that the module is adaptable in the production processes, delivering timely notifications and projecting an efficiency of 95% in the production process after 38 successful experiments.
John Reyes, Luis Morales, Darwin Aldas, Renato Reyes, Renato Toasa

GPS Trajectory Compression Algorithm

This research is oriented toward the development of a trajectory compression algorithm for global positioning systems. In order to increase the compression ratio of the data, an algorithm is developed based on the algorithm of compression of GPS trajectories Top Down - Time Ratio. The algorithm is composed of a filter for noise reduction and makes use of semantic information to accept or discard relevant points of the trajectory. The experiments of the algorithm were carried out using three trajectory datasets: Mobile Century Data, Geolife Trajectories and T-Drive Data, increasing the compression ratio of the data, which leads to improvements in efficiency. With the results obtained, statistical tests were performed that allowed us to compare the results, compare it with other trajectory compression algorithms and validate the investigation.
Gary Reyes Zambrano

Computer and Software Engineering


Algebraic Model to Formalize the Sentences and Their Context for Texts Written in the Spanish Language

This paper introduces a model based on set theory and modern algebra that formalizes sentences and their context. The model aims at dividing sentences into cores which will be mapped into sets of an algebraic space; some of these cores have a type of context called strictly linguistic context. These sets along with an operation form Abelian groups. In addition, the model defines a function that can completely (or partially) restore the original sentence from such sets while guaranteeing its structure and meaning. This could be accomplished through queries that compare contexts and activate the task of restoring sentences. The use case scenario has been limited to the Spanish language. All these processes can be applied in many scenarios, but our focus lies in the dynamic creation of small theories.
Edgardo Samuel Barraza Verdesoto, Edwin Rivas Trujillo, Víctor Hugo Medina García

HOMSI, a Home-Office Model for the Software Industry in the Big Cities of Mexico

The Software Industry in Mexico (SIM) is accentuated in large cities. This industry requires thousands of employees who must go to the offices weekdays. However, mobility in large cities is increasingly complicated by two factors: the first is the distance from your residence to the office, that can be from 1 to 30 km away or more, on the other hand, the expenses caused by the transport. The means of transport can be from the worker himself or public transport as: metro, bus, “metrobus”, taxi, etc. In this work, a home-office model is proposed, which suggests that developers go once to the main office and the rest of the weekdays work from your home. The above, is not by default, because they must have the minimum conditions to work in his own house. However, when working in their own home there are benefits such as: saving time and money in the travel and on the other hand, the developer does not suffer stress caused by the daily travel. In the model, a central office is proposed for meetings and training. So that, each developer must have a space in her own home and adapted for a home office. The above, implies having an Uninterrupted Communication Medium (UCM) to be in contact between developers, as well as with the Couch (Co) and the Project Manager (PM). In the results, statistics of travel times and expenses, as well as the effects of traveling to work every day, are shown. We conclude that, the Home-Office Model can achieve more satisfied developers; less stressed can increases productivity in organizations that develop software.
José Sergio Ruíz Castilla, Jair Cervantes Canales, Dolores Arévalo Zenteno, José Hernández Santiago

Using a Machine Learning Logistic Regression Algorithm to Classify Nanomedicine Clinical Trials in a Known Repository

Today, the nanotechnology is the most critical technology that helps in many scientific advances, because this science allows us to work with molecular structures and their atoms, obtaining material that acts chemical and biologically different to those manifesting in bigger longitudes. Many sciences join nanotechnology to improve their researches, and one of them is medicine. In nanomedicine, many researchers are looking for a way to obtain information about these nanometric materials to enhance their studies that lead in many occasions to prove these methods or to create a new compound that helps modern medicine against dominant diseases. Years after years the world increase trials with these nanomaterials and in this work the authors are going to demonstrate this issue, using the clinical trials repository in one of the most famous trials web pages. Many scientists that work with these trials, wish to obtain only the ones those that need, but in these repositories, they have to search and read each one to make sure that the trial is about what they are researching. The authors implement an application for build a train model that involved a new method of pre-processing text to classify through logistic regression in these trials. For this classification, the authors downloaded an entire database (www.​clinicaltrials.​gov) and used nanoinformatic with an artificial intelligence machine learning supervised algorithm to classify them. The authors classified trials that are about nanomedicine and trials that not. And finally present the results of the number of clinical trials that are about nanomedicine.
Charles M. Pérez-Espinoza, Nuvia Beltran-Robayo, Teresa Samaniego-Cobos, Abel Alarcón-Salvatierra, Ana Rodriguez-Mendez, Paola Jaramillo-Barreiro

Reading Comprehension in University Texts: The Metrics of Lexical Complexity in Corpus Analysis in Spanish

The article focuses on the practical field of the development and implementation of a software application developed for the automatic processing of eight metrics to calculate the lexical complexity in a corpus that contains the transcriptions of university educational videos in Spanish called VYTEDU, prepared by teachers from the University of Guayaquil, Ecuador. The obtained result allowed to demonstrate the different indexes of lexical complexity that the texts have in terms of the comprehensibility of their content. One of the main characteristics of the texts lies in the difference in size and content. It should be noted that although some texts had greater content, the index of lexical complexity was lower than other texts whose content was smaller in size. The diffusion of the software supposes the use of it as a tool to continue researching in the field of Natural Language Processing. The application developed using free software tools facilitated the use of libraries in the field of Natural Language Processing contributing to the analysis of the complexity of text comprehension, making this research a second step to build an automatic simplification tool for text in Spanish in the higher academic field that is proposed as future work, since the first step was the construction of the VYTEDU corpus together with its publication.
Jenny Ortiz Zambrano, Eleanor Varela Tapia

Political-Electoral Marketing and Influencing Factors in Student Representatives’ Elections Under a Fuzzy Logic Approach

This study aimed to determine the causal factors, under uncertainty, related to the decisions taken by students in the University of Guayaquil as voters; at the time of electing a candidate as a student representative; similarly, how effective are electoral marketing strategies applied by parties and student groups for vote-catching. We proposed a methodology based on Fuzzy Logic techniques and cognitive maps to create causality models relying on expert criteria. Being these models useful for decision making, as well as analysis of hypothetical scenarios based on the underlying concept structures that have the most significant causal weight related to the effectiveness of electoral marketing strategies.
Lorenzo Cevallos-Torres, Miguel Botto-Tobar, Jessica Yepez-Holguín, Jenny Ortiz-Zambrano, Nelly Valencia-Martínez

Data Analysis Algorithms for Revenue Assurance

In companies there are dissimilar factors that influence the loss of income, such as errors in planning, in decision-making, inadequate control of projects and poor treatment of inaccuracy and uncertainty in the data. Some of these causes can be mitigated if anomalous data contained in the information systems of the organizations themselves are analyzed. Present research proposes several algorithms to support revenue assurance in project management organizations. As a novelty, this proposal combines outlier mining, proactive risk management and soft computing techniques. A variety of algorithms for detection of anomalous data in revenue assurance is implemented in a library based on free software. These algorithms apply methods based on data spatial analysis, K-means, Mahalanobis and Euclidean distances, partial clustering with automatic estimation of the clusters number, pattern recognition techniques, heuristics, among others. In the research, cross-validation tests, non-parametric tests and evaluation by a group of experts are carried out. For the application of the proposal in a real environment, databases of finished projects are used and the identification of situations generating anomalous data in project-oriented organizations is achieved. In addition, the proposal has been implemented in a computer tool dedicated to project management with which several companies and centers of development of information technologies have benefited, with more than 300 projects and 5000 users.
Gilberto F. Castro, Fausto R. Orozco, Giselle L. Núñez, Anié Bermudez-Peña, Alfonso A. Guijarro, Mirella C. Ortíz

PID and Fuzzy Logic Controllers for DC Motor Speed Control

Proportional, integral and derivative (PID) controllers are commonly applied in industrial environments because of their performance and simplicity application in linear systems. On the other hand, Fuzzy logic controllers (FLC) imitate the human knowledge applying a linguistic ideology instead of mathematical calculations. These features make FLC suitable for nonlinear systems by providing an affordable response in terms of speed control. This research proposes a comparative study between PID controller and FLC for separately excited DC motor. Both controllers are tested under different conditions such as overshoot percentage, rise time, torque load disturbance and multiple steps input. Furthermore, this study determines the benefits and drawbacks of each controller when they are evaluated to obtain an appropriated output for DC motor speed control.
Eduardo Flores-Morán, Wendy Yánez-Pazmiño, Luis Espin-Pazmiño, María Molina-Miranda, Carlos Guzmán-Real


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