<?xml version="1.0" encoding="UTF-8"?>
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  <title>DSpace Comunidad:</title>
  <link rel="alternate" href="http://hdl.handle.net/10045/2451" />
  <subtitle />
  <id>http://hdl.handle.net/10045/2451</id>
  <updated>2013-05-22T00:56:28Z</updated>
  <dc:date>2013-05-22T00:56:28Z</dc:date>
  <entry>
    <title>Representation of 2D objects with a topology preserving network</title>
    <link rel="alternate" href="http://hdl.handle.net/10045/27279" />
    <author>
      <name>Flórez Revuelta, Francisco</name>
    </author>
    <author>
      <name>García Chamizo, Juan Manuel</name>
    </author>
    <author>
      <name>García Rodríguez, José</name>
    </author>
    <author>
      <name>Hernández Sáez, Antonio</name>
    </author>
    <id>http://hdl.handle.net/10045/27279</id>
    <updated>2013-03-11T08:38:40Z</updated>
    <published>2002-04-01T00:00:00Z</published>
    <summary type="text">Título: Representation of 2D objects with a topology preserving network
Autor/es: Flórez Revuelta, Francisco; García Chamizo, Juan Manuel; García Rodríguez, José; Hernández Sáez, Antonio
Resumen: We propose the use of a self-organizing neural network, the Growing Neural Gas, to represent bidimensional objects, due to its quality of topology preservation. As a result of an adaptative process, the object is represented by a Topology Preserving Graph, that constitutes an induced Delaunay Triangulation of their shapes. Features that are extracted from this graph simplify the later operations of classification and recognition, avoiding the high complexity of comparisons between graphs. This model of object characterization allows refining the quality of the representation based on the time available to its calculation, so that it will be the basis for the design of high performance real-time vision architectures. This work opens a new research field, because it employs the topology of a self-organizing neural network as feature, not, as usual, as a classifier.
Descripción: Comunicación presentada en el 2nd International Workshop on Pattern Recognition in Information Systems, Alicante, April, 2002.</summary>
    <dc:date>2002-04-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Decomposition of human behavior using model of competencies: application to robotic control system</title>
    <link rel="alternate" href="http://hdl.handle.net/10045/24040" />
    <author>
      <name>Berná Martínez, José Vicente</name>
    </author>
    <author>
      <name>Maciá Pérez, Francisco</name>
    </author>
    <id>http://hdl.handle.net/10045/24040</id>
    <updated>2012-09-13T06:38:48Z</updated>
    <published>2012-08-01T00:00:00Z</published>
    <summary type="text">Título: Decomposition of human behavior using model of competencies: application to robotic control system
Autor/es: Berná Martínez, José Vicente; Maciá Pérez, Francisco
Resumen: For many years, humans and machines have shared the same physical space. To facilitate their interaction with humans, their social integration and for more rational behavior has been sought that the robots demonstrate human-like behavior. For this it is necessary to understand how human behavior is generated, discuss what tasks are performed and how relate to themselves, for subsequent implementation in robots. In this paper, we propose a model of competencies based on human neuroregulator system for analysis and decomposition of behavior into functional modules. Using this model allow separate and locate the tasks to be implemented in a robot that displays human-like behavior. As an example, we show the application of model to the autonomous movement behavior on unfamiliar environments and its implementation in various simulated and real robots with different physical configurations and physical devices of different nature. The main result of this work has been to build a model of competencies that is being used to build robotic systems capable of displaying behaviors similar to humans and consider the specific characteristics of robots.</summary>
    <dc:date>2012-08-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Overcoming resistance to change in business innovation processes</title>
    <link rel="alternate" href="http://hdl.handle.net/10045/24039" />
    <author>
      <name>Berná Martínez, José Vicente</name>
    </author>
    <author>
      <name>Maciá Pérez, Francisco</name>
    </author>
    <id>http://hdl.handle.net/10045/24039</id>
    <updated>2012-09-13T06:37:04Z</updated>
    <published>2012-07-01T00:00:00Z</published>
    <summary type="text">Título: Overcoming resistance to change in business innovation processes
Autor/es: Berná Martínez, José Vicente; Maciá Pérez, Francisco
Resumen: This paper summarizes the experience gained in dealing with resistance to change appeared in the companies when they develop innovative processes related to the adoption of new technologies, tools, equipment, infrastructure and methodologies. Technological innovation is rapidly absorbed by society on a personal level. But at the enterprise level, resistance to innovation can occur at any hierarchical level of the company and may appear with different intensity. Depending on the type of enterprise, the hierarchical level of the employee, the intensity of resistance and other factors, the measures taken are different. In this paper we summarize our experience in the cataloging of the resistance to innovation in terms of impact on workers and showing how technology education and business training can help overcome these resistance forces. This paper describes the experience acquired over 22 projects deployed in the period 2005 to 2011 and that has affected a total of 264 workers of different cultural, technological, business and hierarchical levels.</summary>
    <dc:date>2012-07-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Data normalization and integration in robotic systems using web services technologies</title>
    <link rel="alternate" href="http://hdl.handle.net/10045/24038" />
    <author>
      <name>Berná Martínez, José Vicente</name>
    </author>
    <author>
      <name>Maciá Pérez, Francisco</name>
    </author>
    <id>http://hdl.handle.net/10045/24038</id>
    <updated>2012-09-13T06:35:13Z</updated>
    <published>2012-01-01T00:00:00Z</published>
    <summary type="text">Título: Data normalization and integration in robotic systems using web services technologies
Autor/es: Berná Martínez, José Vicente; Maciá Pérez, Francisco
Resumen: The robotics is one of the most active areas. We also need to join a large number of disciplines to create robots. With these premises, one problem is the management of information from multiple heterogeneous sources. Each component, hardware or software, produces data with different nature: temporal frequencies, processing needs, size, type, etc. Nowadays, technologies and software engineering paradigms such as service-oriented architectures are applied to solve this problem in other areas. This paper proposes the use of these technologies to implement a robotic control system based on services. This type of system will allow integration and collaborative work of different elements that make up a robotic system.</summary>
    <dc:date>2012-01-01T00:00:00Z</dc:date>
  </entry>
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