971 resultados para robot programming environment


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Abstract OBJECTIVE Analyzing the elements that compose the environment of pregnant women who have experienced intimate partner violence in the light of Levine's Nursing Theory. METHOD A qualitative, descriptive study conducted from September to January 2012, with nine pregnant women in a Municipal Health Center in Rio de Janeiro. The interviews were semi-structured and individual. The theoretical framework was based on Levine's Nursing Theory. RESULTS Thematic analysis evidenced the elements that composed the external environment, such as violence perpetrated by intimate partners before and during pregnancy, violence in childhood and adolescence, alcohol consumption and drug use by the partner, unemployment, low education and economic dependency, which affected health and posed risks to the pregnancy. CONCLUSION Violence perpetrated by an intimate partner was the main external factor that influenced the internal environment with repercussions on health. This theory represents a tool in nursing care which will aid in detecting cases and the fight against violence.

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In this paper the core functions of an artificial intelligence (AI) for controlling a debris collector robot are designed and implemented. Using the robot operating system (ROS) as the base of this work a multi-agent system is built with abilities for task planning.

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El Grup de Visió per Computador i Robòtica (VICOROB) del departament d'Electrònica, Informàtica i Automàtica de la Universitat de Girona investiga en el camp de la robòtica submarina. Al CIRS (Centre d’Investigació en Robòtica Submarina), laboratori que forma part del grup VICOROB, el robot submarí Ictineu és la principal eina utilitzada per a desenvolupar els projectes de recerca. Recentment, el CIRS ha adquirit un nou sistema de sensors d' orientació basat en una unitat inercial i un giroscopi de fibra òptica. Aquest projecte pretén realitzar un estudi d' aquests dispositius i integrar-los al robot Ictineu. D' altra banda, aprofitant les característiques d’aquests sensors giroscopics i les mesures d' un sonar ja integrat al robot, es vol desenvolupar un sistema de localització capaç de determinar la posició del robot en el pla horitzontal de la piscina en temps real

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Els objectius del projecte són: realitzar un intèrpret de comandes en VAL3 que rebi les ordres a través d’una connexió TCP/IP; realitzar una toolbox de Matlab per enviar diferents ordres mitjançant una connexió TCP/IP; adquirir i processar mitjançant Matlab imatges de la càmera en temps real i detectar la posició d’objectes artificials mitjançant la segmentació per color i dissenyar i realitzar una aplicació amb Matlab que reculli peces detectades amb la càmera. L’abast del projecte inclou: l’estudi del llenguatge de programació VAL3 i disseny de l’ intèrpret de comandes, l’estudi de les llibreries de Matlab per comunicació mitjançant TCP/IP, per l’adquisició d’imatges, pel processament d’imatges i per la programació en C; el disseny de la aplicació recol·lectora de peces i la implementació de: un intèrpret de comandes en VAL3, la toolbox pel control del robot STAUBLI en Matlab i la aplicació recol·lectora de peces mitjançant el processament d’imatges en temps real també en Matlab

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Aquest projecte pretén presentar de forma clara i detallada l’estructura i el funcionament del robot així com dels components que el conformen. Aquesta informació és de vital importància a l’hora de desenvolupar aplicacions per al robot. Un cop descrites les característiques del robot s’analitzaran les eines necessàries i/o disponibles per poder desenvolupar programari per cada nivell de la forma més senzilla i eficient possible. Posteriorment s’analitzaran els diferents nivells de programació i se’n contrastaran els avantatges i els inconvenients de cada un. Aquest anàlisi es començarà fent pel nivell més alt i anirà baixant amb la intenció de no entrar en nivells més baixos del necessari. Baixar un nivell en la programació suposa haver de crear aplicacions sempre compatibles amb els nivells superiors de forma que com més es baixa més augmenta la complexitat. A partir d’aquest anàlisi s’ha arribat a la conclusió que per tal d’aprofitar totes les prestacions del robot és precís arribar a programar en el nivell més baix del robot. Finalment l’objectiu és obtenir una sèrie de programes per cada nivell que permetin controlar el robot i fer-lo seguir senzilles trajectòries

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Models incorporating more realistic models of customer behavior, as customers choosing froman offer set, have recently become popular in assortment optimization and revenue management.The dynamic program for these models is intractable and approximated by a deterministiclinear program called the CDLP which has an exponential number of columns. However, whenthe segment consideration sets overlap, the CDLP is difficult to solve. Column generationhas been proposed but finding an entering column has been shown to be NP-hard. In thispaper we propose a new approach called SDCP to solving CDLP based on segments and theirconsideration sets. SDCP is a relaxation of CDLP and hence forms a looser upper bound onthe dynamic program but coincides with CDLP for the case of non-overlapping segments. Ifthe number of elements in a consideration set for a segment is not very large (SDCP) can beapplied to any discrete-choice model of consumer behavior. We tighten the SDCP bound by(i) simulations, called the randomized concave programming (RCP) method, and (ii) by addingcuts to a recent compact formulation of the problem for a latent multinomial-choice model ofdemand (SBLP+). This latter approach turns out to be very effective, essentially obtainingCDLP value, and excellent revenue performance in simulations, even for overlapping segments.By formulating the problem as a separation problem, we give insight into why CDLP is easyfor the MNL with non-overlapping considerations sets and why generalizations of MNL posedifficulties. We perform numerical simulations to determine the revenue performance of all themethods on reference data sets in the literature.

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Gray (1988) has put forward a hypothesis on how a national accountingenvironment might reflect the cultural dimensions identified by Hofstede (1980, 1983). A number of studies have tested Gray's hypothesis, including one by Pourjalali and Meek (1995) which identified a match between changes in cultural dimensions and the accounting environment in Iran following the revolution. In this paper we replicate this work in the context of Spain following the death of Franco in 1975 and the emergence of a democratic constitution in 1978. Specifically, we: 1) Consider Gray's hypothesis built on Hofstede's cultural dimensions and review some empirical tests of the hypotheses.2) Building on the work of Hofstede and Gray, we: put forward some hypotheses on how we would expect cultural dimensions to change in Spain with the transition to democracy.3) Review developments in accounting in Spain following the transition to democracy, in order to identify how well these fit with our hypotheses.

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The choice network revenue management model incorporates customer purchase behavioras a function of the offered products, and is the appropriate model for airline and hotel networkrevenue management, dynamic sales of bundles, and dynamic assortment optimization.The optimization problem is a stochastic dynamic program and is intractable. A certainty-equivalencerelaxation of the dynamic program, called the choice deterministic linear program(CDLP) is usually used to generate dyamic controls. Recently, a compact linear programmingformulation of this linear program was given for the multi-segment multinomial-logit (MNL)model of customer choice with non-overlapping consideration sets. Our objective is to obtaina tighter bound than this formulation while retaining the appealing properties of a compactlinear programming representation. To this end, it is natural to consider the affine relaxationof the dynamic program. We first show that the affine relaxation is NP-complete even for asingle-segment MNL model. Nevertheless, by analyzing the affine relaxation we derive a newcompact linear program that approximates the dynamic programming value function betterthan CDLP, provably between the CDLP value and the affine relaxation, and often comingclose to the latter in our numerical experiments. When the segment consideration sets overlap,we show that some strong equalities called product cuts developed for the CDLP remain validfor our new formulation. Finally we perform extensive numerical comparisons on the variousbounds to evaluate their performance.

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Abstract: The literature on the various links between organizations and their external environment is very extensive and fragmented. This thesis is comprised of three separate essays, each examining specific research questions related to these links. The first essay deals with the notion of industry life cycle and how the geographical concentration of an industry is linked to the particular life cycle stage in which the industry finds itself. The aim of this first essay is firstly to verify if the evolution of the Swiss hotel industry fits some of the stylized facts of the industry life cycle. The second aim is to verify if there is evidence of geographical clustering of the hotel industry, and by extension of tourism. The third aim is to verify a hypothesis that industry decline manifests itself mainly by company closures in decentralized locations. The importance for organizational survival and performance of adapting and reacting to environmental changes has long been ascertained. This adaptation requires managers, under conditions of uncertainty, to identify relevant changes in their external environment and to interpret the possible effects of those changes on their organization. Furthermore, it requires finding and adopting organizational responses in reaction to the environmental changes. The second essay explores how managers perceive their environment by reporting the results of two workshops held with managers from the European hotel industry. In the third essay we examine in more detail the role of uncertainty in the interpretation by executives of environmental changes. We integrate existing theories of interpretation and uncertainty into one framework, which we then test using national survey data from the hotel industry. In all three essays we are able to provide some evidence to support our main hypotheses, but.also make suggestions far further research into the topics examined.

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We offer a formulation that locates hubs on a network in a competitiveenvironment; that is, customer capture is sought, which happenswhenever the location of a new hub results in a reduction of thecurrent cost (time, distance) needed by the traffic that goes from thespecified origin to the specified destination.The formulation presented here reduces the number of variables andconstraints as compared to existing covering models. This model issuited for both air passenger and cargo transportation.In this model, each origin-destination flow can go through either oneor two hubs, and each demand point can be assigned to more than a hub,depending on the different destinations of its traffic. Links(``spokes'' have no capacity limit. Computational experience is provided.

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We present a new unifying framework for investigating throughput-WIP(Work-in-Process) optimal control problems in queueing systems,based on reformulating them as linear programming (LP) problems withspecial structure: We show that if a throughput-WIP performance pairin a stochastic system satisfies the Threshold Property we introducein this paper, then we can reformulate the problem of optimizing alinear objective of throughput-WIP performance as a (semi-infinite)LP problem over a polygon with special structure (a thresholdpolygon). The strong structural properties of such polygones explainthe optimality of threshold policies for optimizing linearperformance objectives: their vertices correspond to the performancepairs of threshold policies. We analyze in this framework theversatile input-output queueing intensity control model introduced byChen and Yao (1990), obtaining a variety of new results, including (a)an exact reformulation of the control problem as an LP problem over athreshold polygon; (b) an analytical characterization of the Min WIPfunction (giving the minimum WIP level required to attain a targetthroughput level); (c) an LP Value Decomposition Theorem that relatesthe objective value under an arbitrary policy with that of a giventhreshold policy (thus revealing the LP interpretation of Chen andYao's optimality conditions); (d) diminishing returns and invarianceproperties of throughput-WIP performance, which underlie thresholdoptimality; (e) a unified treatment of the time-discounted andtime-average cases.

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This paper introduces the approach of using Total Unduplicated Reach and Frequency analysis (TURF) to design a product line through a binary linear programming model. This improves the efficiency of the search for the solution to the problem compared to the algorithms that have been used to date. The results obtained through our exact algorithm are presented, and this method shows to be extremely efficient both in obtaining optimal solutions and in computing time for very large instances of the problem at hand. Furthermore, the proposed technique enables the model to be improved in order to overcome the main drawbacks presented by TURF analysis in practice.

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A presente dissertação teve como finalidade analisar os Problemas Ambientais em Cabo Verde, com destaque para as políticas e medidas implementadas no período que decorre de 1975 a 2010. Para tal, centrou-se no confronto de resultados de estudos que permitiram uma comparação entre os Concelhos da Praia e de São Salvador do Mundo, localizados no sul e no centro da ilha de Santiago, respectivamente. Como ponto de partida, fez-se uma caracterização climática/ambiental do país, salientando a sua fragilidade ambiental através de uma estreita ligação entre as suas características naturais e o estado de ambiente para delinear a evolução das medidas políticas e jurídicas tomadas no sentido de combater ou minimizar os problemas existentes. Todo o trabalho empírico foi realizado nos concelhos acima referidos, com base nos inquéritos efectuados junto dos moradores, escolas, técnicos e políticos que lidam com a problemática ambiental nesses Concelhos. Posteriormente, foi possível analisar profundamente as principais causas da degradação ambiental nos dois Concelhos como a pobreza, a escassez de água, o saneamento básico, o aumento da população, o êxodo rural e as construções clandestinas, estabelecendo uma correlação entre estas e o desenvolvimento económico-social e a qualidade de vida dos seus habitantes. Finalmente, expôs-se o trabalho realizado e o que se perspectiva fazer para sua mitigação, privilegiando a vertente pedagógica, destacando a importância do envolvimento de grupos comunitários para prossecução de acções diversificadas de sensibilização, de programação e da formação em paralelo com o reforço de fiscalização para melhor aplicação de normas existentes.

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The Rebuild Iowa Agriculture and Environment Task Force respectfully submits its report to the Rebuild Iowa Advisory Commission (RIAC) for consideration of the impacts of the tornadoes, storms, high winds, and flooding affecting Iowa’s agriculture sector and environment. The Task Force was required to address very complex and multi-faceted issues. Understanding that there were a broad range of immediate concerns, as well as critical issues that need to be addressed in the future, the Task Force structured its work in two sessions. To better address the issues and priorities of the Task Force, this report categorizes the issues as agriculture, conservation, environment, and livestock.

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We develop a mathematical programming approach for the classicalPSPACE - hard restless bandit problem in stochastic optimization.We introduce a hierarchy of n (where n is the number of bandits)increasingly stronger linear programming relaxations, the lastof which is exact and corresponds to the (exponential size)formulation of the problem as a Markov decision chain, while theother relaxations provide bounds and are efficiently computed. Wealso propose a priority-index heuristic scheduling policy fromthe solution to the first-order relaxation, where the indices aredefined in terms of optimal dual variables. In this way wepropose a policy and a suboptimality guarantee. We report resultsof computational experiments that suggest that the proposedheuristic policy is nearly optimal. Moreover, the second-orderrelaxation is found to provide strong bounds on the optimalvalue.