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5 Papers

Methodology for Developing and Application Outsourcing in the Cloud Using SOA

Topics: Business Modeling and Business Process Management; Business-It Allignment; EA and Organizational Theory and System Development ; EA and Service Oriented Architecture (SOA); Methods, Processes and Patterns for EA Development

Authors: Ana Gonzalo Nuño and Concepción M. Gascueña

Affiliation: Polytechnic University of Madrid, Spain

Digital Object Identifier: 10.5220/0004903804190426

Proceedings of ICEIS 2014, ISBN: 978-989-758-029-1

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New technologies such as, the new Information and Communication Technology ICT, break new paths and redefines the way we understand business, the Cloud Computing is one of them. The on demand resource gathering and the per usage payment scheme are now commonplace, and allows companies to save on their ICT investments. Despite the importance of this issue, we still lack methodologies that help companies, to develop applications oriented for its exploitation in the Cloud. In this study we aim to fill this gap and propose a methodology for the development of ICT applications, which are directed towards a business model, and further outsourcing in the Cloud. In the former the Development of SOA applications, we take, as a baseline scenario, a business model from which to obtain a business process model. To this end, we use software engineering tools; and in the latter The Outsourcing we propose a guide that would facilitate uploading business models into the Cloud; to this end we describe a SOA governance model, which controls the SOA. Additionally we propose a Cloud government that integrates Service Level Agreements SLAs, plus SOA governance, and Cloud architecture. Finally we apply our methodology in an example illustrating our proposal. We believe that our proposal can be used as a guide/pattern for the development of business applications.

Stereo-based Pedestrian Detection in Crosswalks for Pedestrian Behavioural Modelling Assessment

Topics: Image Processing; Vision, Recognition and Reconstruction; Intelligent Transportation Technologies and Systems

Authors: D. F. Llorca 1 , I. Parra 2 , R. Quintero 1 , C. Fernández 1 , R. Izquierdo 1 and M. A. Sotelo 1

Affiliations: 1 University of Alcalá, Spain , 2 Polytechnic University of Madrid, Spain

Digital Object Identifier: 10.5220/0005055401020109

Proceedings of ICINCO 2014, ISBN: 978-989-758-040-6

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In this paper, a stereo- and infrastructure-based pedestrian detection system is presented to deal with infrastructure-based pedestrian safety measurements as well as to assess pedestrian behaviour modelling methods. Pedestrian detection is performed by region growing over temporal 3D density maps, which are obtained by means of stereo reconstruction and background modelling. 3D tracking allows to correlate the pedestrian position with the different pedestrian crossing regions (waiting and crossing areas). As an example of an infrastructure safety system, a blinking luminous traffic sign is switched on to warn the drivers about the presence of pedestrians in the waiting and the crossing regions. The detection system provides accurate results even for nighttime conditions: an overall detection rate of 97.43% with one false alarm per each 10 minutes. In addition, the proposed approach is validated for being used in pedestrian behaviour modelling, applying logistic regression to model the probability of a pedestrian to cross or wait. Some of the predictor variables are automatically obtained by using the pedestrian detection system. Other variables are still needed to be labelled using manual supervision. A sequential feature selection method showed that time-to-collision and pedestrian waiting time (both variables automatically collected) are the most significant parameters when predicting the pedestrian intent. An overall predictive accuracy of 93.10% is obtained, which clearly validates the proposed methodology.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Image Processing

Intelligent Transportation Technologies and Systems

Vision, Recognition and Reconstruction
Informatics in Control, Automation and Robotics

Robotics and Automation

Data Processing Modeling in Decision Support Systems

Topics: Group Decision Support Systems; Software Engineering; Data Warehouses and OLAP; Tools, Techniques and Methodologies for System Development; Modeling Formalisms, Languages, and Notations (e.g. UML, ER variants)

Authors: Concepción M. Gascueña and Rafael Guadalupe

Affiliation: Polytechnic of Madrid University, Spain

Digital Object Identifier: 10.5220/0003982601330138

Proceedings of ICEIS 2012, ISBN: 978-989-8565-10-5

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Due to the advancement of both, information technology in general, and databases in particular; data storage devices are becoming cheaper and data processing speed is increasing. As result of this, organizations tend to store large volumes of data holding great potential information. Decision Support Systems, DSS try to use the stored data to obtain valuable information for organizations. In this paper, we use both data models and use cases to represent the functionality of data processing in DSS following Software Engineering processes. We propose a methodology to develop DSS in the Analysis phase, respective of data processing modeling. We have used, as a starting point, a data model adapted to the semantics involved in multidimensional databases or data warehouses, DW. Also, we have taken an algorithm that provides us with all the possible ways to automatically cross check multidimensional model data. Using the aforementioned, we propose diagrams and descriptions of use cases, which can be considered as patterns representing the DSS functionality, in regard to DW data processing, DW on which DSS are based. We highlight the reusability and automation benefits that this can be achieved, and we think this study can serve as a guide in the development of DSS.
Collapse Button Related Ontology Subjects/Areas/Topics (8)
Artificial Intelligence and Decision Support Systems

Enterprise Information Systems

Software Engineering

Data Warehouses and OLAP

Group Decision Support Systems

Tools, Techniques and Methodologies for System Development
Databases and Information Systems Integration

Information Systems Analysis and Specification

Robust Control of Excavation Mobile Robot with Dynamic Triangulation Vision

Topic: Vehicle Control Applications

Authors: Alexander Gurko 1 , Wilmar Hernandez 2 , Oleg Sergiyenko 3 , Vera Tyrsa 1 , Juan Ivan Nieto Hipólito 4 , Daniel Hernandez Balbuena 4 and Paolo Mercorelli 5

Affiliations: 1 Kharkov National Automobile and Highway University, Ukraine , 2 Polytechnic University of Madrid, Spain , 3 Engineering Institute of Autonomous University of Baja California and Kharkov National Automobile and Highway University, Mexico , 4 Engineering Faculty of Autonomous University of Baja California, Mexico , 5 Leuphana University, Germany

Digital Object Identifier: 10.5220/0004044604810484

Proceedings of ICINCO 2012, ISBN: 978-989-8565-22-8

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The problem of control system synthesis for excavation works autonomous mobile robot on the basis of the game approach is considered. Vision function and spatial orientation of the robot is realized by the dynamic triangulation laser vision system. It is assumed that the real state of the object belongs to the certain set of potential states in the form of polyhedron. Simulation results and functional ability analysis for the proposed control system are concluded.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Informatics in Control, Automation and Robotics

Robotics and Automation

Vehicle Control Applications

ANALYTICAL APPROXIMATIONS FOR NONLINEAR DIFFUSION TIME IN MULTISCALE EDGE ENHANCEMENT

Topics: Enhancement and Restoration; Image Filtering

Authors: C. Platero , J. Sanguino , M. C. Tobar , J. M. Poncela and G. Asensio

Affiliation: Polytechnic University of Madrid, Spain

Digital Object Identifier: 10.5220/0001789200780081

Proceedings of VISAPP 2009/VISIGRAPP, ISBN: 978-989-8111-69-2

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The image simplification, noise elimination and edge enhancement steps are all fundamental to segmentation tasks. These processing techniques usually require the tuning of their control parameters; a procedure known to be incompatible with automatic segmentation. The aim of this paper is to adopt a procedure, based on nonlinear diffusion, that is capable of auto tuning by means of analytical expressions that relate diffusion times to the gradient module. The numerical method and experimental results are shown in 1D, 2D and 3D.
Collapse Button Related Ontology Subjects/Areas/Topics (4)
Computer Vision, Visualization and Computer Graphics

Image Filtering

Image Formation and Preprocessing
Enhancement and Restoration

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