A software engineering approach to distributed systems for composite modeling

The goal of this thesis is to define and validate a software engineering approach for the development of a distributed system for the modeling of composite materials, based on the analysis of various existing software development methods. We reviewed the main features of: (1) software engineering methodologies; (2) distributed system characteristics and their effect on software development; (3) composite materials modeling activities and the requirements for the software development. Using the design science as a research methodology, the distributed system for creating models of composite materials is created and evaluated. Empirical experiments which we conducted showed good convergence of modeled and real processes. During the study, we paid attention to the matter of complexity and importance of distributed system and a deep understanding of modern software engineering methods and tools.

Applying software performance engineering methods to development of IT device management systems

Ohjelmiston suorituskyky on kokonaisvaltainen asia, johon kaikki ohjelmiston elinkaaren vaiheet vaikuttavat. Suorituskykyongelmat johtavat usein projektien viivästymisiin, kustannusten ylittymisiin sekä joissain tapauksissa projektin täydelliseen epäonnistumiseen. Software performance engineering (SPE) on ohjelmistolähtöinen lähestysmistapa, joka tarjoaa tekniikoita suorituskykyisen ohjelmiston kehittämiseen. Tämä diplomityö tutkii näitä tekniikoita ja valitsee niiden joukosta ne, jotka soveltuvat suorituskykyongelmien ratkaisemiseen kahden IT-laitehallintatuotteen kehityksessä. Työn lopputuloksena on päivitetty versio nykyisestä tuotekehitysprosessista, mikä huomioi sovellusten suorituskykyyn liittyvät haasteet tuotteiden elinkaaren eri vaiheissa.

Applicability of Emergence Engineering to Distributed Systems Scenarios

Genetic Programming can be effectively used to create emergent behavior for a group of autonomous agents. In the process we call Offline Emergence Engineering, the behavior is at first bred in a Genetic Programming environment and then deployed to the agents in the real environment. In this article we shortly describe our approach, introduce an extended behavioral rule syntax, and discuss the impact of the expressiveness of the behavioral description to the generation success, using two scenarios in comparison: the election problem and the distributed critical section problem. We evaluate the results, formulating criteria for the applicability of our approach.

Microscale thermal engineering of electronic systems

The electronics industry is encountering thermal challenges and opportunities with lengthscales comparable to or much less than one micrometer. Examples include nanoscale phonon hotspots in transistors and the increasing temperature rise in onchip interconnects. Millimeter-scale hotspots on microprocessors, resulting from varying rates of power consumption, are being addressed using two-phase microchannel heat sinks. Nanoscale thermal data storage technology has received much attention recently. This paper provides an overview of these topics with a focus on related research at Stanford University.

Anticipatory engineering: anticipation in sensory-motor systems of human

In visual tracking experiments, distributions of the relative phase be-tween target and tracer showed positive relative phase indicating that the tracer precedes the target position. We found a mode transition from the reactive to anticipatory mode. The proposed integrated model provides a framework to understand the antici-patory behaviour of human, focusing on the integration of visual and soma-tosensory information. The time delays in visual processing and somatosensory feedback are explicitly treated in the simultaneous differential equations. The anticipatory behaviour observed in the visual tracking experiments can be ex-plained by the feedforward term of target velocity, internal dynamics, and time delay in somatosensory feedback.

MODELLING OF HIGH-PRESSURE PHASE EQUILIBRIUM IN SYSTEMS OF INTEREST IN THE FOOD ENGINEERING FIELD USING THE PENG-ROBINSON EQUATION OF STATE WITH TWO DIFFERENT MIXING RULES

In this work, thermodynamic models for fitting the phase equilibrium of binary systems were applied, aiming to predict the high pressure phase equilibrium of multicomponent systems of interest in the food engineering field, comparing the results generated by the models with new experimental data and with those from the literature. Two mixing rules were used with the Peng-Robinson equation of state, one with the mixing rule of van der Waals and the other with the composition-dependent mixing rule of Mathias et al. The systems chosen are of fundamental importance in food industries, such as the binary systems CO(2)-limonene, CO(2)-citral and CO(2)-linalool, and the ternary systems CO(2)-Limonene-Citral and CO(2)-Limonene-Linalool, where high pressure phase equilibrium knowledge is important to extract and fractionate citrus fruit essential oils. For the CO(2)-limonene system, some experimental data were also measured in this work. The results showed the high capability of the model using the composition-dependent mixing rule to model the phase equilibrium behavior of these systems.

Meta-models, environment and layers: agent-oriented engineering of complex systems

Traditional software engineering approaches and metaphors fall short when applied to areas of growing relevance such as electronic commerce, enterprise resource planning, and mobile computing: such areas, in fact, generally call for open architectures that may evolve dynamically over time so as to accommodate new components and meet new requirements. This is probably one of the main reasons that the agent metaphor and the agent-oriented paradigm are gaining momentum in these areas. This thesis deals with the engineering of complex software systems in terms of the agent paradigm. This paradigm is based on the notions of agent and systems of interacting agents as fundamental abstractions for designing, developing and managing at runtime typically distributed software systems. However, today the engineer often works with technologies that do not support the abstractions used in the design of the systems. For this reason the research on methodologies becomes the basic point in the scientific activity. Currently most agent-oriented methodologies are supported by small teams of academic researchers, and as a result, most of them are in an early stage and still in the first context of mostly \academic" approaches for agent-oriented systems development. Moreover, such methodologies are not well documented and very often defined and presented only by focusing on specific aspects of the methodology. The role played by meta- models becomes fundamental for comparing and evaluating the methodologies. In fact a meta-model specifies the concepts, rules and relationships used to define methodologies. Although it is possible to describe a methodology without an explicit meta-model, formalising the underpinning ideas of the methodology in question is valuable when checking its consistency or planning extensions or modifications. A good meta-model must address all the different aspects of a methodology, i.e. the process to be followed, the work products to be generated and those responsible for making all this happen. In turn, specifying the work products that must be developed implies dening the basic modelling building blocks from which they are built. As a building block, the agent abstraction alone is not enough to fully model all the aspects related to multi-agent systems in a natural way. In particular, different perspectives exist on the role that environment plays within agent systems: however, it is clear at least that all non-agent elements of a multi-agent system are typically considered to be part of the multi-agent system environment. The key role of environment as a first-class abstraction in the engineering of multi-agent system is today generally acknowledged in the multi-agent system community, so environment should be explicitly accounted for in the engineering of multi-agent system, working as a new design dimension for agent-oriented methodologies. At least two main ingredients shape the environment: environment abstractions - entities of the environment encapsulating some functions -, and topology abstractions - entities of environment that represent the (either logical or physical) spatial structure. In addition, the engineering of non-trivial multi-agent systems requires principles and mechanisms for supporting the management of the system representation complexity. These principles lead to the adoption of a multi-layered description, which could be used by designers to provide different levels of abstraction over multi-agent systems. The research in these fields has lead to the formulation of a new version of the SODA methodology where environment abstractions and layering principles are exploited for en- gineering multi-agent systems.

Characterisation of human co-culture systems for applications in bone tissue engineering

For the successful integration of bone tissue engineering constructs into patients, an adequate supply with oxygen and nutrients is critical. Therefore, prevascularisation of bone tissue engineering constructs is desirable for bone formation, remodelling and regeneration. Co-culture systems, consisting of human endothelial cells and primary osteoblasts (pOB) as well as osteosarcoma cell lines, represent a promising method for studying the mechanisms involved in the vascularisation of constructs in bone tissue en- gineering and could provide new insights into the molecular and cellular mechanisms that control essential processes during angiogenesis. The present study demonstrated the im- portant components of co-culture systems with a focus on bone tissue replacement and the angiogenic effects of pOB and osteosarcoma cell lines on human endothelial cells. Furthermore, the studies emphasised an overall approach for analysis of signal molecules that are involved in the angiogenic activation of human endothelial cells by the regulation of VEGF-related pathways at the transcriptional and translational levels. The osteosarcoma cell lines Cal-72, MG-63 and SaOS-2, as well as pOB from several donors, differed in their angiogenesis-inducing potential in 2-D and 3-D co-culture systems. SaOS-2 cells appeared to have a high osteogenic differentiation level with no detectable angiogenesis-inducing potential in co-culture with human endothelial cells. The angiogenic potential of the osteoblast-like cells is mainly correlated with the upregulation of essential angiogenic growth factors, such as VEGF, bFGF and HGF and the downregulation of the angiogenesis inhibitor, endostatin. However, other factors involved in angiogenic regulation were found to differ between SaOS-2 cells, compared to Cal-72 and MG-63. The present study focuses on VEGF pathway-effecting genes as key players in the regulation of angiogenesis. The levels of VEGF and VEGF-effecting genes, such as TGF-α and TIMP-2 are down-regulated in SaOS-2 cells. In contrast, direct regulators of VEGF, such as IL6, IL8 and TNF are strongly upregulated, which indicates disruptions in growth factor regulating pathways in SaOS-2 cells. Potential pathways, which could be involved include MEK, PI3K, MAPK, STAT3, AKT or ERK. Additional treatment of co-cultures with single growth factors did not accelerate or improve the angiogenesis-inducing potential of SaOS-2 cells. Knowledge of the detailed molecular mechanisms involved in angiogenesis control will hopefully allow improved approaches to be developed for prevascularisation of bone tissue engineering constructs.

Engineering the synthesis of lantibiotics in e. Coli by combining the cynnamicin and nisin modification systems.

I lantibiotici sono molecole peptidiche prodotte da un gran numero di batteri Gram-positivi, posseggono attività antibatterica contro un ampio spettro di germi, e rappresentano una potenziale soluzione alla crescente problematica dei patogeni multi-resistenti. La loro attività consiste nel legame alla membrana del bersaglio, che viene quindi destabilizzata mediante l’induzione di pori che determinano la morte del patogeno. Tipicamente i lantibiotici sono formati da un “leader-peptide” e da un “core-peptide”. Il primo è necessario per il riconoscimento della molecola da parte di enzimi che effettuano modifiche post-traduzionali del secondo - che sarà la regione con attività battericida una volta scissa dal “leader-peptide”. Le modifiche post-traduzionali anticipate determinano il contenuto di amminoacidi lantionina (Lan) e metil-lantionina (MeLan), caratterizzati dalla presenza di ponti-tioetere che conferiscono maggior resistenza contro le proteasi, e permettono di aggirare la principale limitazione all’uso dei peptidi in ambito terapeutico. La nisina è il lantibiotico più studiato e caratterizzato, prodotto dal batterio L. lactis che è stato utilizzato per oltre venti anni nell’industria alimentare. La nisina è un peptide lungo 34 amminoacidi, che contiene anelli di lantionina e metil-lantionina, introdotti dall’azione degli enzimi nisB e nisC, mentre il taglio del “leader-peptide” è svolto dall’enzima nisP. Questo elaborato affronta l’ingegnerizzazione della sintesi e della modifica di lantibiotici nel batterio E.coli. In particolare si affronta l’implementazione dell’espressione eterologa in E.coli del lantibiotico cinnamicina, prodotto in natura dal batterio Streptomyces cinnamoneus. Questo particolare lantibiotico, lungo diciannove amminoacidi dopo il taglio del leader, subisce modifiche da parte dell’enzima CinM, responsabile dell’introduzione degli aminoacidi Lan e MeLan, dell’enzima CinX responsabile dell’idrossilazione dell’acido aspartico (Asp), e infine dell’enzima cinorf7 deputato all’introduzione del ponte di lisinoalanina (Lal). Una volta confermata l’attività della cinnamicina e di conseguenza quella dell’enzima CinM, si è deciso di tentare la modifica della nisina da parte di CinM. A tal proposito è stato necessario progettare un gene sintetico che codifica nisina con un leader chimerico, formato cioè dalla fusione del leader della cinnamicina e del leader della nisina. Il prodotto finale, dopo il taglio del leader da parte di nisP, è una nisina completamente modificata. Questo risultato ne permette però la modifica utilizzando un solo enzima invece di due, riducendo il carico metabolico sul batterio che la produce, e inoltre apre la strada all’utilizzo di CinM per la modifica di altri lantibiotici seguendo lo stesso approccio, nonché all’introduzione del ponte di lisinoalanina, in quanto l’enzima cinorf7 necessita della presenza di CinM per svolgere la sua funzione.