By Jorge Villagrá, Jorge Godoy, Carlos González, Teresa de Pedro (auth.), Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia (eds.)
ISBN-10: 3642538614
ISBN-13: 9783642538612
ISBN-10: 3642538622
ISBN-13: 9783642538629
The two-volume set LNCS 8111 and LNCS 8112 represent the papers awarded on the 14th foreign convention on laptop Aided structures conception, EUROCAST 2013, held in February 2013 in Las Palmas de Gran Canaria, Spain. the whole of 131 papers provided have been rigorously reviewed and chosen for inclusion within the books. The contributions are equipped in topical sections on modelling organic platforms; platforms thought and purposes; clever info processing; thought and purposes of metaheuristic algorithms; model-based method layout, verification and simulation; strategy modeling simulation and method optimization; cellular and self sufficient transportation structures; machine imaginative and prescient, sensing, photo processing and clinical purposes; computer-based equipment and digital fact for medical and educational medication; electronic sign processing equipment and functions; mechatronic platforms, robotics and marine robots; cellular computing structures and applied sciences; structures applications.
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Additional info for Computer Aided Systems Theory - EUROCAST 2013: 14th International Conference, Las Palmas de Gran Canaria, Spain, February 10-15, 2013. Revised Selected Papers, Part II
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Es Abstract. , visual Wi-Fi maps which comprise hundreds of topological positions (nodes) linked in accordance with their co-visibility degree of Wi-Fi Access Points (APs). Both design and analysis of Wifigrams are guided by the most popular Social Network Analysis (SNA) techniques. Thus, the structure of a hierarchical topology-based Wi-Fi indoor localization system emerges naturally when looking carefully to the related Wifigram. It shows graphically the closeness among topological positions in terms of their pattern of AP co-visiblity, yielding several zones of interest which are automatically discovered through community mining techniques.
Different open source libraries were used with this hardware. A deeper description follows. 4 System Functionality Overall, the application will obtain a single structure through the Point Cloud Library (PCL). It contains information about the video and depth perceived. From this structure (1), the RGB information will be extracted to build a 640x480 picture. The cloud, obtained from the sensor (Fig. 1), is a point structure representing Euclidean xyz coordinates according to a reference system where the center of the cloud corresponds to “0” in each of the 3 axis, and the RGB color (1).
Then, the position inside each zone is computed using a so-called position classifier for each one of the zones. For the classification, three algorithms have been initially considered, K-NN (K-Nearest Neighbor) [8], FURIA (Fuzzy Unordered Rule Induction Algorithm) [7] and SVM (Support Vector Machine) [4]. K-NN is a variation of the traditional nearest neighbour algorithm for dealing with noise, where the most popular class of the k nearest examples is used for prediction. This prevents a single noisy sample from incorrectly classifying the new one.
Computer Aided Systems Theory - EUROCAST 2013: 14th International Conference, Las Palmas de Gran Canaria, Spain, February 10-15, 2013. Revised Selected Papers, Part II by Jorge Villagrá, Jorge Godoy, Carlos González, Teresa de Pedro (auth.), Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia (eds.)
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