Estudo de estirpes probióticas como inoculantes de silagens para o controlo de micotoxinas

Dissertação de mestrado em Bioengenharia

Sistemas de controlo de gestão, empreendedorismo corporativo, estratégia e performance : contraste entre empresas familiares e não familiares

Mestrado em Contabilidade, Fiscalidade e Finanças Empresariais

A penectomia como técnica de controlo reprodutivo da espécie invasora Trachemys scripta em contexto zoológico

Dissertação de Mestrado Integrado em Medicina Veterinária

Contact processing within walking robots' design

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2011

Generic object classification for autonomous robots

Un dels principals problemes de la interacció dels robots autònoms és el coneixement de l'escena. El reconeixement és fonamental per a solucionar aquest problema i permetre als robots interactuar en un escenari no controlat. En aquest document presentem una aplicació pràctica de la captura d'objectes, de la normalització i de la classificació de senyals triangulars i circulars. El sistema s'introdueix en el robot Aibo de Sony per a millorar-ne la interacció. La metodologia presentada s'ha comprobat en simulacions i problemes de categorització reals, com ara la classificació de senyals de trànsit, amb resultats molt prometedors.

Modelo de un grupo de robots colaboradores cazadores

El nombre d'aplicacions dels microrobots en biomedicina creix a mesura que el seu desenvolupament avança. Entre elles hi ha les consistents a examinar cèl·lules amb microrobots cooperants. En aquest treball es presenta un prototip a escala d'aquest problema, convenientment simplificat: dos robots tracten d'agafar una pilota que representa la cèl·lula que s'examina. Com a resultat, s'ha obtingut un algorisme deliberatiu per a la resolució d'aquest problema amb robots homogenis.

Estudi de comportaments socials amb eixams de robots reconfigurables

Els eixams de robots distribuïts representen tot un món de possibilitats al camp de la microrobòtica, però existeixen pocs estudis que n'analitzin els comportaments socials i les interaccions entre robots autònoms distribuïts. Aquests comportaments han de permetre assolir de la manera més efectiva possible un bon resultat. Prenent com a base l'objectiu esmentat, aquest treball detalla diferents polítiques de cerca i de reconfiguració dels robots i estudia els seus comportaments per tal de determinar quins d'ells són més útils per solucionar un problema concret amb les plagues d'erugues i corcs als camps de cigroneres.

Sensores inalámbricos - monitorización y control remoto

Sistemas empotrados (embedded system).Monitorización y control de sensores inalámbricos.El sistema provee monitorización y control remoto vía internet y telefonía móvil además de acceso local y registros en base de datos.Dotado de un actuador físico para el control de elementos de potencia.

A distributed environment for virtual and/or real experiments for underwater robots

This paper presents the distributed environment for virtual and/or real experiments for underwater robots (DEVRE). This environment is composed of a set of processes running on a local area network composed of three sites: 1) the onboard AUV computer; 2) a surface computer used as human-machine interface (HMI); and 3) a computer used for simulating the vehicle dynamics and representing the virtual world. The HMI can be transparently linked to the real sensors and actuators dealing with a real mission. It can also be linked with virtual sensors and virtual actuators, dealing with a virtual mission. The aim of DEVRE is to assist engineers during the software development and testing in the lab prior to real experiments

Efectividad comparativa del seguimiento remoto a personas con marcapasos cardíacos frente al convencional: calidad de vida a los 6 meses.

BACKGROUND The use of remote follow-up (RF) of people with pacemakers (PM) is limited in comparison to the hospital modality (HS), being still poor the scientific evidence that shows their comparative effectiveness. The aim of this study was to compare the quality of life in individuals with different modalities of follow-up. METHODS Controlled, not randomized nor masked clinical trial, with data collection at pre and post-implantation of pacemakers during the 6 months follow-up. All patients over 18 years-old who were implanted a PM during the study period were selected (n = 83), and they were assigned to RF (n = 30) or HF (n = 53) groups according to their personal characteristics and patient's preferences. Baseline characteristics and number of visits to the hospital were analysed, the EuroQol-5D (EQ5D) questionnaire was administered to evaluate the health-related quality of life, and Duke Activity Status Index (DASI) to assess the functional capacity. RESULTS There were no significant differences between both groups in relation to the baseline analysis, EQ5D (RF:0.7299; HF:0.6769) and DASI (RF:21.41; HF:19.99). At 6 months the quality of life was improved in both groups (EQ5D RF:0.8613; HF:0.8175; p = 0,439) still without significant differences between them. DASI score was similar to baseline (20.51 vs 21.80). RF group performed less transmissions/visits per patient (1.57) than hospital group (1.96; relative reduction 31%; p = 0.015). CONCLUSIONS Remote follow-up of people with pacemakers might be considered as an equivalent option to the hospital follow-up in relation to the quality of life and it reduces the number of hospital visits.

The evolution of information suppression in communicating robots with conflicting interests.

Reliable information is a crucial factor influencing decision-making and, thus, fitness in all animals. A common source of information comes from inadvertent cues produced by the behavior of conspecifics. Here we use a system of experimental evolution with robots foraging in an arena containing a food source to study how communication strategies can evolve to regulate information provided by such cues. The robots could produce information by emitting blue light, which the other robots could perceive with their cameras. Over the first few generations, the robots quickly evolved to successfully locate the food, while emitting light randomly. This behavior resulted in a high intensity of light near food, which provided social information allowing other robots to more rapidly find the food. Because robots were competing for food, they were quickly selected to conceal this information. However, they never completely ceased to produce information. Detailed analyses revealed that this somewhat surprising result was due to the strength of selection on suppressing information declining concomitantly with the reduction in information content. Accordingly, a stable equilibrium with low information and considerable variation in communicative behaviors was attained by mutation selection. Because a similar coevolutionary process should be common in natural systems, this may explain why communicative strategies are so variable in many animal species.

Relatedness influences signal reliability in evolving robots.

Communication is an indispensable component of animal societies, yet many open questions remain regarding the factors affecting the evolution and reliability of signalling systems. A potentially important factor is the level of genetic relatedness between signallers and receivers. To quantitatively explore the role of relatedness in the evolution of reliable signals, we conducted artificial evolution over 500 generations in a system of foraging robots that can emit and perceive light signals. By devising a quantitative measure of signal reliability, and comparing independently evolving populations differing in within-group relatedness, we show a strong positive correlation between relatedness and reliability. Unrelated robots produced unreliable signals, whereas highly related robots produced signals that reliably indicated the location of the food source and thereby increased performance. Comparisons across populations also revealed that the frequency for signal production-which is often used as a proxy of signal reliability in empirical studies on animal communication-is a poor predictor of signal reliability and, accordingly, is not consistently correlated with group performance. This has important implications for our understanding of signal evolution and the empirical tools that are used to investigate communication.

Using robots to understand social behaviour.

A major challenge in studying social behaviour stems from the need to disentangle the behaviour of each individual from the resulting collective. One way to overcome this problem is to construct a model of the behaviour of an individual, and observe whether combining many such individuals leads to the predicted outcome. This can be achieved by using robots. In this review we discuss the strengths and weaknesses of such an approach for studies of social behaviour. We find that robots-whether studied in groups of simulated or physical robots, or used to infiltrate and manipulate groups of living organisms-have important advantages over conventional individual-based models and have contributed greatly to the study of social behaviour. In particular, robots have increased our understanding of self-organization and the evolution of cooperative behaviour and communication. However, the resulting findings have not had the desired impact on the biological community. We suggest reasons for why this may be the case, and how the benefits of using robots can be maximized in future research on social behaviour.