Desenvolvimento e caracterização acústica de painéis multicamadas unifibra, multifibras e mesclados, fabricados a partir de fibras vegetais

Em um tempo em que altos níveis de ruído fazem parte do cotidiano das pessoas, a necessidade de controlá-los não é somente evidente, mas providencial. Atualmente a poluição sonora, em nível mundial, só não é mais grave do que a poluição do ar e da água. No Brasil a situação não é diferente, pois se estima que mais de 15 milhões de pessoas apresentem algum grau de deficiência auditiva devido a este problema ambiental. Dispositivos acústicos como painéis, barreiras, etc., quando de alta eficiência, geralmente, são de custosa aquisição, tornando, em muitas das vezes, inviável sua utilização, principalmente, por empresas de pequeno porte e orçamento limitado. Assim, soluções alternativas, a começar por novos materiais, que sejam menos custosos e possuam desempenho satisfatório surgem como uma ótima opção caso propostas tradicionais sejam inviabilizadas devido ao custo. Algumas fibras vegetais, na forma de painéis, possuem características acústicas satisfatórias quando utilizadas para reduzir a reverberação em determinados ambientes fechados. Dessa forma, considerando as tendências ambientais globais, o uso de fibras vegetais é uma boa oportunidade para agregar valor às referidas fibras e assim contribuir com o desenvolvimento tecnológico do país, já que estes materiais são de fácil obtenção, existem em abundância, não são tóxicos e provêm de fontes renováveis. Este trabalho apresenta a metodologia de desenvolvimento de painéis fabricados a partir de fibras vegetais (açaí, coco, sisal e dendê), assim como a metodologia utilizada para sua caracterização acústica em câmara reverberante em escala reduzida, baseando-se na norma ISO 354/1999. Os dados de coeficiente de absorção dos painéis são obtidos através de um analisador de frequências utilizando-se o Método da Interrupção do Ruído. A comparação entre os resultados obtidos para os painéis artesanais e os materiais convencionais ensaiados permite concluir que o desempenho acústico demonstrado por alguns painéis de fibras vegetais são muito satisfatórios, uma vez que seus coeficientes de absorção sonora foram compatíveis, e em alguns casos superiores, àqueles apresentados pelos materiais convencionais em determinada faixa de freqüência. Finalmente, uma comparação numérico-experimental é realizada, a fim de avaliar a influência de painéis de fibras de sisal sobre as características acústicas de uma pequena sala.

Inovações tecnológicas e a complexidade do sistema econômico

O objetivo deste trabalho é analisar como o processo de inovações tecnológicas é tratado pela Teoria dos Sistemas Complexos. A abordagem neoclássica tradicional, ao partir de pressupostos bastante restritivos sobre os agentes e os mercados, não é capaz de fornecer explicações plausíveis aos vários problemas econômicos da vida real. Ao desconsiderar a dinâmica dos fenômenos econômicos, essa abordagem foi incapaz de incorporar os aspectos do processo de inovação e mudança tecnológica. A abordagem evolucionária, nesse sentido, ao considerar a racionalidade limitada, incerteza e heterogeneidade presente em ambientes que exibem inovação, foi capaz de fornecer um tratamento mais próximo da realidade. A inovação é, então, entendida como uma mudança descontínua que altera as condições estruturais gerando desenvolvimento, progresso e evolução no sistema. Já abordagem dos sistemas complexos, ao apresentar um arcabouço não reducionista e que se fundamenta sobre uma perspectiva evolucionária e sistêmica, concebe a economia como um sistema composto por agentes heterogêneos que interagem entre si. Apesar do ambiente de incerteza nas decisões tomadas, os agentes procuram se adaptar às informações recebidas do meio e se auto-organizarem gerando com isso novos padrões de auto-ordenamento e estruturas emergentes. A modelagem, nesse sentido, tem por principal objetivo descobrir as propriedades emergentes resultantes da interação entre os agentes no sistema. Por fim chega-se a conclusão de que as inovações tecnológicas apresentaram resultados mais satisfatórios e mais condizentes quando analisadas dentro dessa perspectiva agent-based.

Epigrafía digital: tecnología 3D de bajo coste para la digitalización de inscripciones y su acceso desde ordenadores y dispositivos móviles

[ES] Se analizan las posibilidades del Image based modeling (IBM), como técnica de escaneado 3D de bajo coste para la modelización de inscripciones romanas, a partir del trabajo realizado en el Museo Arqueológico Nacional de Madrid sobre una amplia tipología de soportes epigráficos (piedra, bronce, arcilla), con resultados óptimos para la catalogación, estudio y difusión de este tipo de documentación histórica. Los resultados obtenidos permiten obtener inscripciones romanas en 3D que se pueden incorporar a los proyectos de epigrafía digital en curso, permitiendo su acceso a través de ordenadores y dispositivos móviles, sin coste añadido para los investigadores.

Mobile TuCSoN: theoretical and technological requirements for TuCSoN's porting over Android mobile devices

Communication and coordination are two key-aspects in open distributed agent system, being both responsible for the system’s behaviour integrity. An infrastructure capable to handling these issues, like TuCSoN, should to be able to exploit modern technologies and tools provided by fast software engineering contexts. Thesis aims to demonstrate TuCSoN infrastructure’s abilities to cope new possibilities, hardware and software, offered by mobile technology. The scenarios are going to configure, are related to the distributed nature of multi-agent systems where an agent should be located and runned just on a mobile device. We deal new mobile technology frontiers concerned with smartphones using Android operating system by Google. Analysis and deployment of a distributed agent-based system so described go first to impact with quality and quantity considerations about available resources. Engineering issue at the base of our research is to use TuCSoN against to reduced memory and computing capability of a smartphone, without the loss of functionality, efficiency and integrity for the infrastructure. Thesis work is organized on two fronts simultaneously: the former is the rationalization process of the available hardware and software resources, the latter, totally orthogonal, is the adaptation and optimization process about TuCSoN architecture for an ad-hoc client side release.

Multi-level models and infrastructures for simulating biological system development

The hierarchical organisation of biological systems plays a crucial role in the pattern formation of gene expression resulting from the morphogenetic processes, where autonomous internal dynamics of cells, as well as cell-to-cell interactions through membranes, are responsible for the emergent peculiar structures of the individual phenotype. Being able to reproduce the systems dynamics at different levels of such a hierarchy might be very useful for studying such a complex phenomenon of self-organisation. The idea is to model the phenomenon in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartment events determines the emergent behaviour resulting in the formation of spatial patterns. According to these premises the thesis proposes a review of the different approaches already developed in modelling developmental biology problems, as well as the main models and infrastructures available in literature for modelling biological systems, analysing their capabilities in tackling multi-compartment / multi-level models. The thesis then introduces a practical framework, MS-BioNET, for modelling and simulating these scenarios exploiting the potential of multi-level dynamics. This is based on (i) a computational model featuring networks of compartments and an enhanced model of chemical reaction addressing molecule transfer, (ii) a logic-oriented language to flexibly specify complex simulation scenarios, and (iii) a simulation engine based on the many-species/many-channels optimised version of Gillespie’s direct method. The thesis finally proposes the adoption of the agent-based model as an approach capable of capture multi-level dynamics. To overcome the problem of parameter tuning in the model, the simulators are supplied with a module for parameter optimisation. The task is defined as an optimisation problem over the parameter space in which the objective function to be minimised is the distance between the output of the simulator and a target one. The problem is tackled with a metaheuristic algorithm. As an example of application of the MS-BioNET framework and of the agent-based model, a model of the first stages of Drosophila Melanogaster development is realised. The model goal is to generate the early spatial pattern of gap gene expression. The correctness of the models is shown comparing the simulation results with real data of gene expression with spatial and temporal resolution, acquired in free on-line sources.

BDI agents for Real Time Strategy games

While the use of distributed intelligence has been incrementally spreading in the design of a great number of intelligent systems, the field of Artificial Intelligence in Real Time Strategy games has remained mostly a centralized environment. Despite turn-based games have attained AIs of world-class level, the fast paced nature of RTS games has proven to be a significant obstacle to the quality of its AIs. Chapter 1 introduces RTS games describing their characteristics, mechanics and elements. Chapter 2 introduces Multi-Agent Systems and the use of the Beliefs-Desires-Intentions abstraction, analysing the possibilities given by self-computing properties. In Chapter 3 the current state of AI development in RTS games is analyzed highlighting the struggles of the gaming industry to produce valuable. The focus on improving multiplayer experience has impacted gravely on the quality of the AIs thus leaving them with serious flaws that impair their ability to challenge and entertain players. Chapter 4 explores different aspects of AI development for RTS, evaluating the potential strengths and weaknesses of an agent-based approach and analysing which aspects can benefit the most against centralized AIs. Chapter 5 describes a generic agent-based framework for RTS games where every game entity becomes an agent, each of which having its own knowledge and set of goals. Different aspects of the game, like economy, exploration and warfare are also analysed, and some agent-based solutions are outlined. The possible exploitation of self-computing properties to efficiently organize the agents activity is then inspected. Chapter 6 presents the design and implementation of an AI for an existing Open Source game in beta development stage: 0 a.d., an historical RTS game on ancient warfare which features a modern graphical engine and evolved mechanics. The entities in the conceptual framework are implemented in a new agent-based platform seamlessly nested inside the existing game engine, called ABot, widely described in Chapters 7, 8 and 9. Chapter 10 and 11 include the design and realization of a new agent based language useful for defining behavioural modules for the agents in ABot, paving the way for a wider spectrum of contributors. Chapter 12 concludes the work analysing the outcome of tests meant to evaluate strategies, realism and pure performance, finally drawing conclusions and future works in Chapter 13.

Enabling a direct path from end-user specifications to executable protocols in a biology laboratory environment

Biomedical analyses are becoming increasingly complex, with respect to both the type of the data to be produced and the procedures to be executed. This trend is expected to continue in the future. The development of information and protocol management systems that can sustain this challenge is therefore becoming an essential enabling factor for all actors in the field. The use of custom-built solutions that require the biology domain expert to acquire or procure software engineering expertise in the development of the laboratory infrastructure is not fully satisfactory because it incurs undesirable mutual knowledge dependencies between the two camps. We propose instead an infrastructure concept that enables the domain experts to express laboratory protocols using proper domain knowledge, free from the incidence and mediation of the software implementation artefacts. In the system that we propose this is made possible by basing the modelling language on an authoritative domain specific ontology and then using modern model-driven architecture technology to transform the user models in software artefacts ready for execution in a multi-agent based execution platform specialized for biomedical laboratories.

Individual and population level effects of partner notification for Chlamydia trachomatis

Partner notification (PN or contact tracing) is an important aspect of treating bacterial sexually transmitted infections (STIs), such as Chlamydia trachomatis. It facilitates the identification of new infected cases that can be treated through individual case management. PN also acts indirectly by limiting onward transmission in the general population. However, the impact of PN, both at the level of individuals and the population, remains unclear. Since it is difficult to study the effects of PN empirically, mathematical and computational models are useful tools for investigating its potential as a public health intervention. To this end, we developed an individual-based modeling framework called Rstisim. It allows the implementation of different models of STI transmission with various levels of complexity and the reconstruction of the complete dynamic sexual partnership network over any time period. A key feature of this framework is that we can trace an individual's partnership history in detail and investigate the outcome of different PN strategies for C. trachomatis. For individual case management, the results suggest that notifying three or more partners from the preceding 18 months yields substantial numbers of new cases. In contrast, the successful treatment of current partners is most important for preventing re-infection of index cases and reducing further transmission of C. trachomatis at the population level. The findings of this study demonstrate the difference between individual and population level outcomes of public health interventions for STIs.

The art to keep in touch: The ''good use'' of Lagrange multipliers

Physically-based modeling for computer animation allows to produce more realistic motions in less time without requiring the expertise of skilled animators. But, a computer animation is not only a numerical simulation based on classical mechanics since it follows a precise story-line. One common way to define aims in an animation is to add geometric constraints. There are several methods to manage these constraints within a physically-based framework. In this paper, we present an algorithm for constraints handling based on Lagrange multipliers. After few remarks on the equations of motion that we use, we present a first algorithm proposed by Platt. We show with a simple example that this method is not reliable. Our contribution consists in improving this algorithm to provide an efficient and robust method to handle simultaneous active constraints.

Agentenbasiertes Planungsmodell für die Grobplanung von Kommissioniersystemen

Rechnergestützte Modellansätze, die Logistiksysteme gestalten und generieren, sind eine hochkomplexe Aufgabenstellung. Die bisher in der Praxis existierenden Planungs- und Steuerungsmodelle für Intralogistiksysteme weisen für die aktuellen und zukünftigen Anforderungen wie der Komplexitätsbewältigung, Reaktionsschnelligkeit und Anpassungsfähigkeit Schwachstellen auf. – Ein innovativer Ansatz, diesen Ansprüchen gerecht zu werden, stellen Multiagentensysteme dar. Mit ihrem dezentralen und modularen Charakter sind sie für ein komplexes Problem mit einem geringen Grad an Strukturiertheit geeignet. Außerdem ermöglichen diese computergestützten intelligenten Systeme den Anwendern eine einfache und aufwandsarme Handhabung.

Simulations- und VR-basierte Steuerungsverifikation zellularer Intralogistiksysteme

Die hohe Komplexität zellularer intralogistischer Systeme und deren Steuerungsarchitektur legt die Verwendung moderner Simulations- und Visualisierungstechniken nahe, um schon im Vorfeld Aussagen über die Leistungsfähigkeit und Zukunftssicherheit eines geplanten Systems treffen zu können. In dieser Arbeit wird ein Konzept für ein Simulationssystem zur VR-basierten Steuerungsverifikation zellularer Intralogistiksysteme vorgestellt. Beschrieben wird die Erstellung eines Simulationsmodells für eine real existierende Anlage und es wird ein Überblick über die Bestandteile der Simulation, insbesondere die Anbindung der Steuerung des realen agentenbasierten Systems, gegeben.

Adaptive Materialbereitstellung in flexiblen Produktionssystemen auf Grundlage einer agentenbasierten Transportsteuerung

Zur Sicherstellung einer schnellen und flexiblen Anpassung an sich ändernde Anforderungen sind innerbetriebliche Materialbereitstellungskonzepte in immer stärkerem Maße zu flexibilisieren. Hierdurch kann die Erreichung logistischer Ziele in einem dynamischen Produktionsumfeld gesteigert werden. Der Beitrag stellt ein Konzept für eine adaptive Materialbereitstellung in flexiblen Produktionssystemen auf Grundlage einer agentenbasierten Transportplanung und -steuerung vor. Der Fokus liegt hierbei auf der Planung und Steuerung der auf Basis von Materialbedarfsmeldungen ausgelösten innerbetrieblichen Transporte. Neben Pendeltouren zur Versorgung des Produktionssystems findet auch das dynamische Pickup-and-Delivery-Problem Berücksichtigung. Das vorgestellte Konzept ist an den Anforderungen selbstorganisierender Produktionsprozesse ausgerichtet.

Integrated Segmentation of Brain Tumor Images for Radiotherapy and Neurosurgery

Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas to MR images of tumor patients. In order to establish correspondence between a healthy atlas and a pathologic patient image, tumor growth modeling in combination with registration algorithms is employed. In a first step, the tumor is grown in the atlas based on a new multi-scale, multi-physics model including growth simulation from the cellular level up to the biomechanical level, accounting for cell proliferation and tissue deformations. Large-scale deformations are handled with an Eulerian approach for finite element computations, which can operate directly on the image voxel mesh. Subsequently, dense correspondence between the modified atlas and patient image is established using nonrigid registration. The method offers opportunities in atlasbased segmentation of tumor-bearing brain images as well as for improved patient-specific simulation and prognosis of tumor progression.

Distortion-sensitive insight into the pretransitional behavior of 4- n -octyloxy-4′-cyanobiphenyl (8OCB)

Results of studies of the static and dynamic dielectric properties in rod-like 4-n-octyloxy-4'-cyanobiphenyl (8OCB) with isotropic (I)–nematic (N)–smectic A (SmA)–crystal (Cr) mesomorphism, combined with measurements of the low-frequency nonlinear dielectric effect and heat capacity are presented. The analysis is supported by the derivative-based and distortion-sensitive transformation of experimental data. Evidence for the I–N and N–SmA pretransitional anomalies, indicating the influence of tricritical behavior, is shown. It has also been found that neither the N phase nor the SmA phase are uniform and hallmarks of fluid–fluid crossovers can be detected. The dynamics, tested via the evolution of the primary relaxation time, is clearly non-Arrhenius and described via τ(T) = τc(T−TC)−phgr. In the immediate vicinity of the I–N transition a novel anomaly has been found: Δτ ∝ 1/(T − T*), where T* is the temperature of the virtual continuous transition and Δτ is the excess over the 'background behavior'. Experimental results are confronted with the comprehensive Landau–de Gennes theory based modeling.

A glimpse into the future composition of marine phytoplankton communities

It is expected that climate change will have significant impacts on ecosystems. Most model projections agree that the ocean will experience stronger stratification and less nutrient supply from deep waters. These changes will likely affect marine phytoplankton communities and will thus impact on the higher trophic levels of the oceanic food web. The potential consequences of future climate change on marine microbial communities can be investigated and predicted only with the help of mathematical models. Here we present the application of a model that describes aggregate properties of marine phytoplankton communities and captures the effects of a changing environment on their composition and adaptive capacity. Specifically, the model describes the phytoplankton community in terms of total biomass, mean cell size, and functional diversity. The model is applied to two contrasting regions of the Atlantic Ocean (tropical and temperate) and is tested under two emission scenarios: SRES A2 or “business as usual” and SRES B1 or “local utopia.” We find that all three macroecological properties will decline during the next century in both regions, although this effect will be more pronounced in the temperate region. Being consistent with previous model predictions, our results show that a simple trait-based modeling framework represents a valuable tool for investigating how phytoplankton communities may reorganize under a changing climate.