4 resultados para Machines à vecteurs supports
em Dalarna University College Electronic Archive
Resumo:
Intelligent Transportation System (ITS) is a system that builds a safe, effective and integrated transportation environment based on advanced technologies. Road signs detection and recognition is an important part of ITS, which offer ways to collect the real time traffic data for processing at a central facility.This project is to implement a road sign recognition model based on AI and image analysis technologies, which applies a machine learning method, Support Vector Machines, to recognize road signs. We focus on recognizing seven categories of road sign shapes and five categories of speed limit signs. Two kinds of features, binary image and Zernike moments, are used for representing the data to the SVM for training and test. We compared and analyzed the performances of SVM recognition model using different features and different kernels. Moreover, the performances using different recognition models, SVM and Fuzzy ARTMAP, are observed.
Resumo:
Today, large public investments are being made with the aim of creating and developing cooperation between businesses in inter-organizational networks. Such initiatives are commonly denoted cluster initiatives and their underlying purpose are to spur innovation and regional growth. Much research has been conducted in this field, but relatively few studies have examined the process of cluster initiatives. By following the case of a regional cluster project within the tourism industry in the region of Dalarna, Sweden, the objective of this thesis is to deepen the understanding of the formation and development process of cluster initiatives. The investigation has been conducted by examining two main themes; the internal relationships within the cluster initiative and the relationships between the cluster initiative and its external stakeholders, such as funding agencies, regional government and local businesses. The analysis is based on a legitimacy perspective and indicates that the coordinating body of the cluster initiative, the hub, principally deals with a legitimation process. What occurs within the cluster initiative, between the members themselves and between the members and the hub, is legitimation. This also applies to external relationships, between the hub and its external stakeholders. A prerequisite for the realization of its mission is that the hub obtain and sustain legitimacy; legitimacy for itself, for the other members, for the idea, for the different activities and for the industry as such.