IEEE Guadalajara GDL CCD White Papers
Data Analytics for Smart Grid Efficiency in GDL Smart City Pilot
Gómez García, M. Mónica, Gómez-Barba Leopoldo
Abstract — One of the most interesting issues in a Smart City environment is the optimal use of electrical energy. Develop an implementation of a Smart Grid for a city is an exhaustive task: it is important to have smart meters to obtain and analyze measurements and to know what to do with that information. Monitoring by metric may be the best way to determine the correct decisions. Moving from sparse measurement to near real-time measurement results in a huge increase in the amount of data to be analyzed. This project proposes the initial steps to address this challenge through possible Big Data strategies, using as a case study the analysis of consumption on a University campus and considering the information and historical data according to the measurements taken by the service provider.
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Data Visualization for Georeferenced IoT Open Data Flows for a GDL Smart City Pilot
Emmanuel Aceves, Victor M. Larios, Member, IEEE
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The role of the Data Scientist within Smart Cities
De Obeso-Orendain, A., Lopez-Neri, E., Donneaud-Bechelani, C.
Abstract— The role of the data scientist has gained considerable importance in recent years. This paper explores images, conceptions and phenomena regarding data scientists from different perspectives, both theoretical and practical, guided by the premise that Smart Cities require a particular type of data expert. A survey was distributed among data scientists, and its results are presented to provide insight regarding the perception of data science in the community surrounding the Ciudad Creativa Digital (CCD). Data scientists may become a key factor in the successful operation of a Smart City, provided that they are able to reach and empower its most critical element: the citizen.
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Digital Interactive Kiosks Interfaces for the GDL Smart City Pilot Project
César R. Cortez and Victor M. Larios, IEEE Members
Abstract— Digital interactivity is one of the most important concepts connecting people to the information dimension in Smart Cities. Nevertheless, information kiosks developed in past years are not innovative in the way that they interact with citizens. Most of the kiosks are focused on the use of touch screens and pulsing buttons. Human-machine interaction as a discipline has evolved new technological possibilities, making it possible to redesign digital kiosks to make them more interactive. These new digital kiosks may be more inclusive for handicapped or elderly people living in a city, reducing the digital divide in the population. The objective of this work is to provide a model for interactive digital kiosks to be used in smart cities by coupling new technologies. This model will be tested at the Living Lab for Smart Cities Solutions hosted at the Smart Cities Innovation Center in CUCEA UDG. Once the prototype is tested, we will propose implementation of the digital kiosk in the GDL Smart City pilot project.
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Study and Deployment of Sensor Networks and the Internet of Things in the GDL Smart City
Gustavo A. Jiménez González, Víctor M. Larios Rosillo, Member, IEEE
Abstract—The objective of this work is to propose the design and deployment of sensor networks and the Internet of Things (IoT) in the Guadalajara Smart City. Initially, all project development was conducted at the Living Lab in the Smart Cities Innovation Center at the CUCEA University of Guadalajara (UDG). Once the first sensor networks are functional, the goal is to transfer the experience to the first Intelligent Building Complex, which will be created by the Guadalajara (GDL) downtown Ciudad Creativa Digital (CCD) project. Many modules with sensors will record information, creating open data sets, including: zone temperature, atmospheric pressure, luminosity, pollution components (such as carbon dioxide and nitrogen oxide), green area humidity and water consumption. Thus, the main contribution of this work is the development of sensor networks for the GDL smart city, as well as supporting the production of datasets to empower the data analytics and visualization of the IEEE Smart Cities working group in the GDL.
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Urban Operating Systems for Sensor Network Management in Smart Cities
M.I.E. Olga B. Mora and Dr. Victor M. Larios, IEEE Members
Abstract—To meet growing urbanization challenges, technology offers solutions for the optimization of processes and services in cities via the development of a Smart City. Sensor networks, data repositories, and data analytics are current processes that are used to manage Smart City infrastructure, where complexity, resilience and interoperability are key issues for emergent Urban Operative Systems. This concept can allow for dealing with complexity based on similar principles of computer operating systems. Hence, the work of this thesis is related to creating the foundations of an Urban OS for a Smart City. To validate this concept, we will use the Smart Cities Living Lab at CUCEA UDG. The aim is to implement a sensor network to track different variables of a 50-hectare surface representing a micro city to create city dataset prototypes to measure the Smart City status. To achieve this goal, an Urban Operating System is proposed to carry out the administration of the different types of interconnected devices, referencing the Internet of Things (IoT) in the field of Smart Cities.
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NoSQL method for the metric analysis of Smart Cities
Elsa Estrada-Guzman, Rocio Maciel, Leopoldo Gómez, IEEE Members
Abstract— The objectives of Smart Cities are to ensure the sustainability of the cities and to improve quality of life. The city’s performance indicators offer insight into the conditions and factors that influence the improvement of the well-being of the population of the city, and, consequently, these indicators support the metrics of Smart Cities. The source of information of the metrics can be found in the relevant Big Data, which requires extraction and processing for future analysis. Because the relational database models are not large enough to handle the extensive variety of formats and volume of the consultations, this paper demonstrates the design of a NoSQL schema with storage in the columns to facilitate the scalability and speed of searches.
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ODF best practices towards a GDL Smart City
Ramon O. Guardado-Medina, Victor M. Larios, Andere Salma H. Patarroyo. and Javier Larios, IEEE Members
Abstract— The aim of this paper is to present the status of the Open Data Framework (ODF) around the world, describe various trends and demonstrate why ODF is important to the infrastructure of smart cities and, in particular, how a GDL Smart City should define a proper model. In the first part, this work discusses smart cities and the definition of Open Data, showing the most common standards used to build an infrastructure for data analysis. In the following part, we present a general overview of the World Bank and the different open data initiatives worldwide (including Europe, Africa, Asia, Oceania, America, and Latin America), concluding with a comment about Mexico and, more specifically, the Guadalajara Smart City.
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Application of Business Analytics on Big Data Scenarios to obtain Actionable Insights in Systems or Services in Mega-Cities: Multiple use cases from the Living Lab at the Smart Cities Innovation Center at Guadalajara University
Manuel Avalos, Ignacio Silva, Victor M. Larios, IEEE
Abstract—Cities, organizations and intelligence agencies from a variety of industries and sectors face the same challenges regarding Big Data: the need to uncover actionable insights with limited resources and with critical speed. However, with the right intelligent solution, overwhelming data will not be a challenge. Instead, such data become a resource for smarter, more effective decision making. This research will focus on the application of business analytics to attain actionable insights from data deployed in a Hybrid Cloud and providing that "curated" data to the decision makers in cities, mega-cities, companies, and city service providers. This paper intends to be a best-practice guideline for cities interested in implementing Big Data use cases to solve some of their main problems.
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Smart Food: Toward an Integrated Supply Chain in a Smart City
Diana L. Romero-Borbón, Victor M. Larios and Luis F. Romero
Abstract – The populations of today’s cities have increased, causing an imbalance between the resources available, those generated in the field, and the resources necessary for the adequate functioning of a city. A Food Supply Chain (FSC) aims to minimize logistics and production costs by integrating and managing capital and information flows. Information and communications technology can be used to achieve this goal. In this paper, an efficient FSC model is presented that allows processes to more efficiently move crops closer to the urban nucleus, prompting the evolution of a smart city into a smart territory. In this study, the following phases are explored: analysis and selection of a product, development of a model, simulation with real data, analysis of results and comparison with the current situation to determine whether an improvement was achieved. In this project, we are working closely with the Smart Cities Innovation Center at the Universidad de Guadalajara and with its national and international collaborators, including the IEEE Smart Cities initiative, with the goal of sharing the experience and knowledge acquired through efforts to develop Guadalajara as a Smart City.
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