This book is a compilation of chapters on scientific work in novel and innovative reference that compiles interdisciplinary perspectives about diverse issues related with Industry 4.0 and smart cities in different ways, i.e., intelligent optimisation, industrial applications in the real world, social applications and technology applications with a different perspective about existing solutions. Chapters review research in improving optimisation in smart manufacturing, logistics of products and services, optimisation of different elements in the time and location, social applications to enjoy our life of a better way and applications that increase daily life quality. This book covers applications of Industry 4.0; applications to improve the life of the citizens in a smart city; and finally, welfare of the working-age population and their expectations in their jobs correlated with the welfare-work relationship.
Table of Contents
DAILY LIFE IN A SMART CITY
Segmentation of mamogram mases for smart cities health systems
Paula Andrea Gutiérrez-Salgado, Jose Mejia, Leticia Ortega, Nelly Gordillo, Boris Mederos, and Alberto Ochoa-Zezzatti
Serious Game for Caloric Burning in Morbidly Obesed Children
Alberto Ochoa-Zezzatti, José Díaz-Román, Jose Mejía-Moñoz, and Erika Severeyn
Intelligent application for the selection of the best fresh product according to its presentation and threshold of colors associated with its freshness in a comparison of issues of a counter in a shop of healthy products in a Smart City.
Iván Rebollar-Xochicale, Fernando Maldonado-Azpeitia, and Alberto Ochoa-Zezzatti
Analyzing Mental Workload on Bus Drivers in the Metropolitan Area of Querétaro and its Comparative with another three Societies to Improve the Life in a Smart City
Aarón Zárate, Alberto Ochoa-Zezzatti, Fernando Maldonado, Juan Hernández, and José Mejia, Paulo Sampaio, Fabrizzio Azzuartegli, Fabbiano Tagliardetti
Multicriteria analysis of Mobile Clinical Dashboards for the monitoring of Type II diabetes in a Smart City
Mariana Vázquez-Avalos, Alberto Ochoa-Zezzatti, and Mayra Elizondo-Cortés
Electronic Colobliness diagnosis for the detection of color blindness and awareness in children using images with modified figures from the Ishihara test
Martín Montes, Alejandro Padilla, Julio Ponce, Juana Canul, Alberto Ochoa-Zezzatti, and Miguel Meza
An archetype of cognitive innovation as support for the development of cognitive solutions in Smart Cities.
Jorge Rodas-Osollo, Karla Olmos-Sánchez, Enrique Portillo-Pizaña, Patricia Sánchez-Solís, Rogelio Florencia, Gilberto Rivera-Zárate, and Boanerges Aleman-Meza
APPLICATIONS TO IMPROVE A SMART CITY
From Data Harvesting to Querying for Making Urban Territories Smart
Genoveva Vargas-Solar, Ana-Sagrario Castillo-Camporro, José Luis Zechinelli-Martini, and Javier A. Espinosa-Oviedo
Utilization of detection tools in a human avalanche occurred in a Rugby football stadium, using multi-agent systems
Tomás Limones, Carmen Reaiche, and Alberto Ochoa-Zezzatti
Humanitarian Logistics and the Problem of Floods in a Smart City
Aztlán Bastarrachea-Almodóvar, Quirino Estrada Barbosa, Elva Lilia Reynoso Jardón, and Javier Molina Salazar
Simulating Crowds at A College School in Juarez, Mexico: A Humanitarian Logistics Approach
Dora Ivette Rivero-Caraveo, Jaqueline Ortiz-Velez, and Irving Bruno López-Santos
Perspectives of state management in Smart Cities
Zhang Jieqionga, Jesús García-Manchaa, Simonee Suarontteb, and Dragner Safardattic
INDUSTRY 4.0, LOGISTICS 4.0 AND SMART MANUFACTURING
On the order picking policies in warehouses: algorithms and their behavior
Ricardo Arriola, Fernando Ramos, Gilberto Rivera, and Vicente García
Color, value, price and type Koi variant specie for the Aquaculture Industry and its continuous improvement using implicit technology and deep learning
Alberto Ochoa-Zezzati, Jose Mejia, Jose Diaz-Roman, Deeider Konnaugh, and Keegan Mallouch
Evaluation of a theoretical model for the measurement of technological competencies in the
Jared Olmos, Gilberto Rivera, Rogelio Florencia, and Claudia Gomez
Myoelectric systems in the era of Artificial Intelligence and Big Data
Bernabé Rodríguez-Tapia, Angel Israel Soto Marrufo, JM Colores-Vargas, and Alberto Ochoa-Zezzatti
Implementation of an Intelligent Model based on Big Data and Decision Making using Fuzzy Logic
Type-2 for the car assembly industry in an industrial estate in northern Mexico.
José Luis Peinado Portillo, Carlos Alberto Ochoa, Sara Paiva, and Darwing Young
Weibull Reliability Method for Several Fields Based Only on the Modeled Quadratic Form
Manuel R. Piña-Monarrez and Paulo Sampaio
Alberto Ochoa Ortiz-Zezzatti has been a member of the faculty at University of Ciudad Juárez, Mexico since 1995. He has conducted lectures on Artificial Intelligence in undergraduate and graduate programs, and has coordinated and participated in projects funded by the European Union and Brazil, addressing topics on Smart Cities. Currently, he is engaged in a project related to forest fires until 2027. He has mentored 67 PhD students, and since 2020 he has the profile Prodep for six years and the endorsement of National System of Scientists in Mexico level 2. He has been cited around a thousand times, and has received one of the highest RG scores at his university.
Genoveva Vargas-Solar (http://www.vargas-solar.com) is senior scientist at the French Council of Scientific Research (CNRS) in the Laboratory of Informatics on Images and Information Systems (LIRIS). She has been the deputy director the Franco-Mexican Laboratory of Informatics and Automatic Control (LAFMIA) an international research unit established at CINVESTAV since 2008. She is regular member of the Mexican Academia of Computing. In 2014 she obtained her Habilitation à Diriger des Recherches (HDR - tenure) from University of Grenoble, France and a PhD degree in Computer Science from the University Joseph Fourier, France (2000) and a PhD in Literature from Stendhal University, France (2005). In 1997 she obtained her first master’s degree in computer science at University Joseph Fourier and in 1998 she obtained her second master’s degree in Compared Literature at Stendhal University. She did her undergraduate studies on Computer Systems Engineering at Universidad de las Américas in Puebla, Mexico.
Her research interests in Computer Science lies in distributed and heterogeneous databases, reflexive systems and service-based database systems. She conducts fundamental and applied research activities for addressing challenges of different architectures ARM, raspberry, cluster, cloud, and HPC. She has coordinated several research projects in Europe and Latin America financed by governments and industrial partners. She actively promotes the scientific cooperation in Computer Science between Latin America and Europe particularly between France and Mexico.
Javier A. Espinosa Oviedo is a computer scientist specializing in the domains of databases and distributed systems. He currently works as postdoctoral researcher at the University of Lyon, France and is also an associate researcher of the French-Mexican Laboratory of Informatics and Automatic Control (UMI CNRS LAFMIA). Before this, he held research positions at the Delft University of Technology, the Barcelona Supercomputing Centre, and the Grenoble Informatics Laboratory. His current research interests are in big data, data-centric systems and cloud computing.
He obtained his PhD in Computer Science from the University of Grenoble in 2013, and his master and bachelor’s degree in Computer Science and Computer Systems Engineering, from UDLAP, in Mexico, in 2006 and 2008, respectively. He is fellow of the Mexican Academy of Computer Science (AMEXCOMP) and member of the Mexican National System of Researchers (SNI).