Model-based objects recognition in industrial environments for autonomous vehicles control

Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system

Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm

Possible solution of some essential zero problems in compositional data analysis

One of the tantalising remaining problems in compositional data analysis lies in how to deal with data sets in which there are components which are essential zeros. By an essential zero we mean a component which is truly zero, not something recorded as zero simply because the experimental design or the measuring instrument has not been sufficiently sensitive to detect a trace of the part. Such essential zeros occur in many compositional situations, such as household budget patterns, time budgets, palaeontological zonation studies, ecological abundance studies. Devices such as nonzero replacement and amalgamation are almost invariably ad hoc and unsuccessful in such situations. From consideration of such examples it seems sensible to build up a model in two stages, the first determining where the zeros will occur and the second how the unit available is distributed among the non-zero parts. In this paper we suggest two such models, an independent binomial conditional logistic normal model and a hierarchical dependent binomial conditional logistic normal model. The compositional data in such modelling consist of an incidence matrix and a conditional compositional matrix. Interesting statistical problems arise, such as the question of estimability of parameters, the nature of the computational process for the estimation of both the incidence and compositional parameters caused by the complexity of the subcompositional structure, the formation of meaningful hypotheses, and the devising of suitable testing methodology within a lattice of such essential zero-compositional hypotheses. The methodology is illustrated by application to both simulated and real compositional data

Intrinsic test of independence in contingency tables

A condition needed for testing nested hypotheses from a Bayesian viewpoint is that the prior for the alternative model concentrates mass around the small, or null, model. For testing independence in contingency tables, the intrinsic priors satisfy this requirement. Further, the degree of concentration of the priors is controlled by a discrete parameter m, the training sample size, which plays an important role in the resulting answer regardless of the sample size. In this paper we study robustness of the tests of independence in contingency tables with respect to the intrinsic priors with different degree of concentration around the null, and compare with other “robust” results by Good and Crook. Consistency of the intrinsic Bayesian tests is established. We also discuss conditioning issues and sampling schemes, and argue that conditioning should be on either one margin or the table total, but not on both margins. Examples using real are simulated data are given

Unusual voltage sag event detection in power systems

Three multivariate statistical tools (principal component analysis, factor analysis, analysis discriminant) have been tested to characterize and model the sags registered in distribution substations. Those models use several features to represent the magnitude, duration and unbalanced grade of sags. They have been obtained from voltage and current waveforms. The techniques are tested and compared using 69 registers of sags. The advantages and drawbacks of each technique are listed

Oxidation of silicon: further tests for the interfacial silicon emission model

The classical description of Si oxidation given by Deal and Grove has well-known limitations for thin oxides (below 200 Ã). Among the large number of alternative models published so far, the interfacial emission model has shown the greatest ability to fit the experimental oxidation curves. It relies on the assumption that during oxidation Si interstitials are emitted to the oxide to release strain and that the accumulation of these interstitials near the interface reduces the reaction rate there. The resulting set of differential equations makes it possible to model diverse oxidation experiments. In this paper, we have compared its predictions with two sets of experiments: (1) the pressure dependence for subatmospheric oxygen pressure and (2) the enhancement of the oxidation rate after annealing in inert atmosphere. The result is not satisfactory and raises serious doubts about the model’s correctness

Measurement Quality in Indicators of Compositions: a Compositional Multitrait-Multimethod Approach

Compositional data, also called multiplicative ipsative data, are common in survey research instruments in areas such as time use, budget expenditure and social networks. Compositional data are usually expressed as proportions of a total, whose sum can only be 1. Owing to their constrained nature, statistical analysis in general, and estimation of measurement quality with a confirmatory factor analysis model for multitrait-multimethod (MTMM) designs in particular are challenging tasks. Compositional data are highly non-normal, as they range within the 0-1 interval. One component can only increase if some other(s) decrease, which results in spurious negative correlations among components which cannot be accounted for by the MTMM model parameters. In this article we show how researchers can use the correlated uniqueness model for MTMM designs in order to evaluate measurement quality of compositional indicators. We suggest using the additive log ratio transformation of the data, discuss several approaches to deal with zero components and explain how the interpretation of MTMM designs di ers from the application to standard unconstrained data. We show an illustration of the method on data of social network composition expressed in percentages of partner, family, friends and other members in which we conclude that the faceto-face collection mode is generally superior to the telephone mode, although primacy e ects are higher in the face-to-face mode. Compositions of strong ties (such as partner) are measured with higher quality than those of weaker ties (such as other network members)

Hisendes locals i turisme: tres assaigs

Aquesta tesi utilitza l'anàlisi econòmica per a estudiar les hisendes locals, especialment els aspectes relacionats amb la provisió i finançament dels béns i serveis públics locals. Les hisendes locals, tant a Catalunya com a la resta d'Espanya, pateixen diversos problemes. Dos són especialment rellevants per a aquesta tesi. El primer és la reduïda dimensió dels municipis, l'altre la seva insuficient dotació financera. A la tesi es tracten aquestes dues qüestions en cinc capítols. Primer s'introdueix la problemàtica, exposant-ne els antecedents, la situació actual i la metodologia per al seu anàlisi. A continuació s'aborda la relació entre la grandària dels municipis i la seva capacitat per a proveir béns i serveis públics. De manera recurrent es produeixen debats sobre els problemes que pateixen els municipis petits. El problema més evident d'aquests municipis és el dèficit de serveis públics. Es sol argumentar que els municipis petits pateixen aquests dèficits en la provisió de serveis públics a causa de la manca d'un nombre crític d'habitants. Normalment es presenta la consolidació municipal com a solució a aquest problema. En aquest treball analitzem les diferents vessants de la qüestió dels dèficits de serveis municipals. Es continua analitzant com influeix sobre el sector privat la incapacitat per part dels municipis de prestar la quantitat i/o qualitat correcta de béns i serveis públics. Sembla clar que l'atractiu d'un hotel per als seus clients depèn tant dels serveis que ofereix com de l'entorn en què es troba. Com s'ha dit sovint "un hotel de quatre estrelles necessita un entorn de quatre estrelles". Aquests atributs que configuren l'entorn són complementaris a l'oferta privada dels serveis hotelers i són essencials a l'hora de definir les opcions de comercialització, ja que sembla raonable que diferències en les dotacions de serveis públics, capital natural i imatge de la localitat generaran diferències en els preus d'hotels que altrament són idèntics. A la següent etapa s'estudia la situació financera a la qual s'enfronten els municipis a l'hora de proveir els béns i serveis públics, especialment en el cas de les localitats amb forta implantació de l'activitat turística. L'objectiu d'aquest estudi és doble. Primer, realitzar una anàlisi i un diagnòstic del finançament als municipis turístics i, segon, discutir diferents vies de millora. En una primera part s'exposa el marc que cal tenir en compte a l'hora de considerar les qüestions de provisió de serveis públics i els consegüents aspectes pressupostaris. Després es presenta un model estilitzat de provisió de béns públics i d'estructura pressupostària que explicita, amb la intenció de portar a terme l'anàlisi economètrica, les interrelacions rellevants entre provisió de serveis públics, ingressos fiscals i despeses. Tot seguit es presenten les dades que han de servir per a una anàlisi empírica que té dues vessants. Primer, estudiar si realment els municipis amb un fort pes de l'activitat turística presenten diferències en l'àmbit pressupostari i, segon, concretar quantificar en què consisteixen i de què depenen les diferències. El sisè apartat tracta la complementarietat entre béns i serveis públics des d'un marc normatiu, posant de manifest els aspectes que ha de tenir en compte un municipi turístic en les qüestions de provisió i finançament dels béns públics i que fan que tingui un comportament diferent d'un municipi no turístic. El penúltim apartat del treball inclou la discussió i l'avaluació d'algunes propostes correctores dels problemes detectats a l'anàlisi estadística i economètrica. El treball conclou amb un resum de les principals conclusions. La tesi conclou amb una discussió dels resultats obtinguts.

Knowledge-based modelling and simulation of operational problems of microbiological origin in wastewater treatment plants

The activated sludge and anaerobic digestion processes have been modelled in widely accepted models. Nevertheless, these models still have limitations when describing operational problems of microbiological origin. The aim of this thesis is to develop a knowledge-based model to simulate risk of plant-wide operational problems of microbiological origin.For the risk model heuristic knowledge from experts and literature was implemented in a rule-based system. Using fuzzy logic, the system can infer a risk index for the main operational problems of microbiological origin (i.e. filamentous bulking, biological foaming, rising sludge and deflocculation). To show the results of the risk model, it was implemented in the Benchmark Simulation Models. This allowed to study the risk model's response in different scenarios and control strategies. The risk model has shown to be really useful providing a third criterion to evaluate control strategies apart from the economical and environmental criteria.