Persona: Cerrada Somolinos, Carlos
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Cerrada Somolinos
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Carlos
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Publicación Libro de Actas. VII Jornadas de Redes de Investigación en Innovación Docente de la UNED(UNED, 2014-12-01) López González, María de los Ángeles; Domingo Navas, María Rosario; Cerrada Somolinos, CarlosPublicación An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments(MDPI, 2017-10-20) Duque Domingo, Jaime; Valero Rodríguez, Enrique; Cerrada Somolinos, Carlos::virtual::3220::600; Cerrada Somolinos, José Antonio::virtual::3221::600; Cerrada Somolinos, Carlos; Cerrada Somolinos, José Antonio; Cerrada Somolinos, Carlos; Cerrada Somolinos, José Antonio; Cerrada Somolinos, Carlos; Cerrada Somolinos, José AntonioThis work presents an Indoor Positioning System to estimate the location of people navigating in complex indoor environments. The developed technique combines WiFi Positioning Systems and depth maps, delivering promising results in complex inhabited environments, consisting of various connected rooms, where people are freely moving. This is a non-intrusive system in which personal information about subjects is not needed and, although RGB-D cameras are installed in the sensing area, users are only required to carry their smart-phones. In this article, the methods developed to combine the above-mentioned technologies and the experiments performed to test the system are detailed. The obtained results show a significant improvement in terms of accuracy and performance with respect to previous WiFi-based solutions as well as an extension in the range of operation.Publicación Automatic method for building indoor boundary models from dense point clouds collected by laser scanners(MDPI, 2012-11-22) Valero Rodríguez, Enrique; Adán, Antonio; Cerrada Somolinos, CarlosIn this paper we present a method that automatically yields Boundary Representation Models (B-rep) for indoors after processing dense point clouds collected by laser scanners from key locations through an existing facility. Our objective is particularly focused on providing single models which contain the shape, location and relationship of primitive structural elements of inhabited scenarios such as walls, ceilings and floors. We propose a discretization of the space in order to accurately segment the 3D data and generate complete B-rep models of indoors in which faces, edges and vertices are coherently connected. The approach has been tested in real scenarios with data coming from laser scanners yielding promising results. We have deeply evaluated the results by analyzing how reliably these elements can be detected and how accurately they are modeled.Publicación Automatic Construction of 3D Basic-Semantic Models of Inhabited Interiors Using Laser Scanners and RFID Sensors(MDPI, 2012-05-03) Valero Rodríguez, Enrique; Adán, Antonio; Cerrada Somolinos, CarlosThis paper is focused on the automatic construction of 3D basic-semantic models of inhabited interiors using laser scanners with the help of RFID technologies. This is an innovative approach, in whose field scarce publications exist. The general strategy consists of carrying out a selective and sequential segmentation from the cloud of points by means of different algorithms which depend on the information that the RFID tags provide. The identification of basic elements of the scene, such as walls, floor, ceiling, windows, doors, tables, chairs and cabinets, and the positioning of their corresponding models can then be calculated. The fusion of both technologies thus allows a simplified 3D semantic indoor model to be obtained. This method has been tested in real scenes under difficult clutter and occlusion conditions, and has yielded promising results.Publicación A scalable approach to exact model and commonality counting for extended feature models.(Institute of Electrical and Electronics Engineers (IEEE), 2014-05-29) Fernández Amoros, David José; Heradio Gil, Rubén; Cerrada Somolinos, José Antonio; Cerrada Somolinos, CarlosA software product line is an engineering approach to efficient development of software product portfolios. Key to the success of the approach is to identify the common and variable features of the products and the interdependencies between them, which are usually modeled using feature models. Implicitly, such models also include valuable information that can be used by economic models to estimate the payoffs of a product line. Unfortunately, as product lines grow, analyzing large feature models manually becomes impracticable. This paper proposes an algorithm to compute the total number of products that a feature model represents and, for each feature, the number of products that implement it. The inference of both parameters is helpful to describe the standarization/parameterization balance of a product line, detect scope flaws, assess the product line incremental development, and improve the accuracy of economic models. The paper reports experimental evidence that our algorithm has better runtime performance than existing alternative approaches.Publicación Supporting commonality-based analysis of software product lines(Institution of Engineering and Technology (IET), 2011-03-24) Heradio Gil, Rubén; Fernández Amoros, David José; Cerrada Somolinos, José Antonio; Cerrada Somolinos, CarlosSoftware Product Line (SPL) engineering is a cost effective approach to developing families of similar products. Key to the success of this approach is to correctly scope the domain of the SPL, identifying the common and variable features of the products and the interdependencies between features. In this paper, we show how the commonality of a feature (i.e., the reuse ratio of the feature among the products) can be used to detect scope flaws in the early stages of development. SPL domains are usually modeled by means of feature diagrams following the FODA notation. We extend classical FODA trees with unrestricted cardinalities, and present an algorithm to compute the number of products modeled by a feature diagram and the commonality of the features. Finally, we compare the performance of our algorithm with two other approaches built on top of boolean logic SAT-solver technology such as cachet and relsat.Publicación A SCADA oriented middleware for RFID technology(Elsevier, 2012-09-01) Abad Cardiel, Ismael; Heradio Gil, Rubén; Cerrada Somolinos, Carlos; Cerrada Somolinos, José AntonioRadio Frequency IDentification (RFID) has emerged as the new technology paradigm for acquisition and information management. RFID can be used to improve significantly the efficiency of business processes by providing the capability of automatic identification and data capture. This technology introduces new challenges on data and process information management in current systems. RFID data are timedependent and dynamically changing. In addition, data carry implicit semantics. The homogeneous data processing of such implicit semantics allows us to propose RFID middleware as a WHO–WHEN–WHERE data problem. This paper presents DEPCAS, a new middleware for RFID information based on the SCADA architecture for control systems. An application of DEPCAS is the resolution of heterogeneous situations, which solves the WHAT or context–aware to apply the auto identification data received from RFID systems in business applications.Publicación Managing RFID sensors networks with a general purpose RFID middleware(MDPI, 2012-06-07) Valero Rodríguez, Enrique; Abad Cardiel, Ismael; Cerrada Somolinos, Carlos; Cerrada Somolinos, José Antonio; Heradio Gil, RubénRFID middleware is anticipated to one of the main research areas in the field of RFID applications in the near future. The Data EPC Acquisition System (DEPCAS) is an original proposal designed by our group to transfer and apply fundamental ideas from System and Data Acquisition (SCADA) systems into the areas of RFID acquisition, processing and distribution systems. In this paper we focus on how to organize and manage generic RFID sensors (edge readers, readers, PLCs, etc…) inside the DEPCAS middleware. We denote by RFID Sensors Networks Management (RSNM) this part of DEPCAS, which is built on top of two new concepts introduced and developed in this work: MARC (Minimum Access Reader Command) and RRTL (RFID Reader Topology Language). MARC is an abstraction layer used to hide heterogeneous devices inside a homogeneous acquisition network. RRTL is a language to define RFID Reader networks and to describe the relationship between them (concentrator, peer to peer, master/submaster).