abstract: Control engineering offers a systematic and efficient approach to optimizing the effectiveness of individually tailored treatment and prevention policies, also known as adaptive or ``just-in-time'' behavioral interventions. These types of interventions represent promising strategies for addressing many significant public health concerns. This dissertation explores the development of decision algorithms for adaptive sequential behavioral interventions using dynamical systems modeling, control engineering principles and formal optimization methods. A novel gestational weight gain (GWG) intervention involving multiple intervention components and featuring a pre-defined, clinically relevant set of sequence rules serves as an excellent example of a sequential behavioral intervention; it is examined in detail in this research.   A comprehensive dynamical systems model for the GWG behavioral interventions is developed, which demonstrates how to integrate a mechanistic energy balance model with dynamical formulations of behavioral models, such as the Theory of Planned Behavior and self-regulation. Self-regulation is further improved with different advanced controller formulations. These model-based controller approaches enable the user to have significant flexibility in describing a participant's self-regulatory behavior through the tuning of controller adjustable parameters. The dynamic simulation model demonstrates proof of concept for how self-regulation and adaptive interventions influence GWG, how intra-individual and inter-individual variability play a critical role in determining intervention outcomes, and the evaluation of decision rules.   Furthermore, a novel intervention decision paradigm using Hybrid Model Predictive Control framework is developed to generate sequential decision policies in the closed-loop. Clinical considerations are systematically taken into account through a user-specified dosage sequence table corresponding to the sequence rules, constraints enforcing the adjustment of one input at a time, and a switching time strategy accounting for the difference in frequency between intervention decision points and sampling intervals. Simulation studies illustrate the potential usefulness of the intervention framework. The final part of the dissertation presents a model scheduling strategy relying on gain-scheduling to address nonlinearities in the model, and a cascade filter design for dual-rate control system is introduced to address scenarios with variable sampling rates. These extensions are important for addressing real-life scenarios in the GWG intervention. / Dissertation/Thesis / Doctoral Dissertation Chemical Engineering 2014

This thesis is focused on distributed systems modeling using Petri nets. Distributed systems are increasingly being implemented in applications and computing systems, where their task is to ensure sufficient performance and stability for a large number of its users. When modeling a distributed systems, stochastic behavior of Petri nets is important, which will provide more realistic simulations. Therefore, this thesis focuses mainly on timed Petri nets. The theoretical part of this thesis summarizes distributed systems, their properties, types and available architectures, as well as Petri nets, their representation, types and the principle of an operation. In the practical part, two models were implemented, namely a horizontally scaled web application divided into several services with a distributed database and a large grid computing system, more precisely the BOINC platform with the Folding@home project. Both models were implemented using the PetNetSim library of Python. The goal of this thesis is to perform simulations on the created models for different scenarios of their behavior.

This thesis describe approaches for autopilots for small unmanned aerial vehicles. Part of thesis is implementation of autopilot in Matlab/Simulink. The goal is to control computation model of the aircraft. Main part of thesis desribes high layer of control and navigation with focus on trajectory planning. Final algorithm is based on following the reference point between the aircraft and waypoint. Algorithm solves special positions of waypoints and error flag.

Many of the present problems that we are facing arise as unanticipated side-effects of our own actions. Moreover, the solutions implemented to solve important problems often create new problems. To avoid unintended consequences, understanding complex systems is essential in devising policy instruments and in improving environmental management. Thus, this thesis investigated systems modeling approaches to under- stand complex systems and monitor the environmental performance of management actions. The overall aim of the work was to investigate the usefulness of different systems modeling approaches in supporting environmental management. A driver- based, pressure-oriented approach was adopted to investigate systems modeling tools. Material/substance flow analysis, environmental footprinting, input-output analysis, process-based dynamic modeling, and systems dynamics modeling approaches were applied in different cases to investigate strengths and weaknesses of the tools in generating an understanding of complex systems. Three modeling and accounting approaches were also tested at different systems scales to support environmental mon- itoring. Static modeling approaches were identified as fundamental to map, account, and monitor physical resource metabolism in production and consumption systems, whereas dynamic modeling showed strengths in understanding complex systems. The results suggested that dynamic modeling approaches should be conducted on top of static analysis to understand the complexity of systems when devising and testing policy instruments. To achieve proactive monitoring, a pressure-based assessment was proposed instead of the mainstream impact/state-based approach. It was also concluded that the LCA community should shift the focus of its assessments to pressures instead of impacts. / Många nuvarande miljö- och utvecklingsproblem har uppstått som oförutsedda biverkningar av människans egna handlingar. De lösningar som prövats har i sin tur ofta skapat  nya problem. Det därför viktigt att förstå hur komplexa system fungerar och att utforma styrmedel och ledningssystem som minimerar risken för oönskade bieffekter. Den här avhandling har använt olika modelleringsmetoder för att öka förståelsen för komplexa system och bidra med kunskaper om hur miljöprestanda och förvaltningsåtgärder kan följas upp på ett mer effektivt sätt. Det övergripande syftet med arbetet var att undersöka användbarheten av olika modelleringsmetoder för att effektivisera den fysiska resurshanteringen i samhället. I arbetet har ett flödesbaserat och aktörsinriktat arbetssätt (pressure based and driver oriented approach) använts i modelleringen.  Material- och substansflödesanalys, miljöfotavtryck, input-output analys, processbaserad dynamisk modellering och systemdynamiska modelleringsmetoder studerades för att undersöka styrkor och svagheter hos de olika metoderna/verktygen.  Tre olika modellerings- och redovisningsmetoder för att stödja miljöövervakning testades också i olika systemskalor. Statiska modelleringsmetoder (räkenskaper) identifierades som grundläggande för att kartlägga, kontoföra och övervaka den fysiska resursmetabolismen i produktions- och konsumtionssystem, medan dynamisk modellering visade sin styrka i att skapa förståelse för komplexa system. Resultaten pekar på att dynamiska modelleringsmetoder bör användas som ett komplement till statiska analyser för att förstå komplexiteten i systemen när man utformar och testar styrmedel. För att uppnå proaktiv övervakning bör flödesbaserade räkenskaper utnyttjas i större utsträckning i stället för den vanliga tillstånds- och påverkansövervakningen (state/impact monitoring). En viktig slutsats är därför att LCA-samfundet bör flytta fokus i sina bedömningar från påverkan till flöden. / <p>QC 20160830</p>

Os sistemas de manufatura há muito vêm sendo objeto de interesse por profissionais e pesquisadores devido à busca de melhores técnicas visando o aumento da produtividade bem como pelo aumento da competitividade empresarial ao longo dos anos. Dentre seus componentes, o sistema de movimentação de materiais merece atenção especial pois, apesar de não aumentar o valor do produto, é responsável por manter o fluxo de materiais entre máquinas, células de manufatura, centros de custos ou mesmo entre empresas, que é imprescindível para qualquer sistema produtivo. Neste contexto, o presente trabalho propõe uma metodologia para a modelagem de sistemas flexíveis de movimentação de materiais e partes em ambiente fabril, focando-se em sistemas cuja movimentação possa ser realizada por VATs (Veículos Autônomos de Transporte). Considerando-se o sistema de movimentação de materiais como sendo um sistema a eventos discretos (SEDs), pode-se empregar técnicas derivadas das Redes de Petri como o PFS (Production Flow Schema) e o E-MFG (Enhanced Mark Flow Graph) na modelagem de tais sistemas. Para tanto, foram introduzidos conceitos de orientação a objetos ao E-MFG de forma a ampliar sua capacidade de modelagem, possibilitando a migração de um paradigma de modelagem orientada a processos para um de modelagem híbrida orientada a processos e a objetos. Como estudo de caso, apresenta-se a modelagem de uma simplificação do sistema de movimentação de materiais da Mercedes Benz do Brasil, situada em São Bernardo do Campo, São Paulo, para a qual se aplica a metodologia proposta. / Manufacturing systems have been object of interest of many professionals and researchers through the years due to the search of better methods for raising goods productivity and managerial competitiveness. Among its components, the material movement system deserves special attention because even not increasing the product value, it is responsible for keeping the flow of materials between machines, manufacturing cells, cost centers and also between companies, which is indispensable for any productive system. In this context, this work proposes a methodology for modeling flexible systems for materials and parts movement in the industrial environment, focusing on systems whose movement can be performed by AGVs (Autonomous Guided Vehicles). Considering the materials movement system as a Discrete Event System (DES), techniques derived from Petri Nets as PFS (Production Flow Schema) and E-MFG (Enhanced Mark Flow Graph) can be used for modeling those systems. To this purpose, concepts of object orientation are introduced to E-MFG in order to increase its modeling capacity, allowing the migration from the process oriented modeling paradigm to an hybrid object and process oriented modeling. A simplification of the materials movement system of the plant of "Mercedes Benz do Brasil", which is located in São Bernado do Campo, São Paulo, was used as a study case to illustrate the methodology presented.

Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2015-10-28T12:29:05Z No. of bitstreams: 1 Vivian Teresinha Pedó da Silva_.pdf: 3694100 bytes, checksum: ce6e15fc4bf10c3f2a81dfbdb083b1b7 (MD5) / Made available in DSpace on 2015-10-28T12:29:05Z (GMT). No. of bitstreams: 1 Vivian Teresinha Pedó da Silva_.pdf: 3694100 bytes, checksum: ce6e15fc4bf10c3f2a81dfbdb083b1b7 (MD5) Previous issue date: 2015-06-16 / UNISINOS - Universidade do Vale do Rio dos Sinos / A presente tese descreve e analisa os discursos que constituem os currículos de formação de professores, problematizando o campo da Educação Especial como locus de formação de professor para surdos. Para tanto, analisa sete currículos de cursos de formação de professores, desenvolvidos entre os anos de 1962 e 2009 na Universidade Federal de Santa Maria (RS). Utiliza como ferramenta teórico-metodológica o conceito de discurso, inspirada nos estudos foucaultianos em educação. A partir da pesquisa, foi possível constatar três grandes ênfases discursivas nos currículos de formação de professores analisados; são elas: do campo da saúde (início em 1962), da Pedagogia (início em 1973) e da Educação Especial (início em 1984). Em cada ênfase, é possível observar a recorrência de discursos sobre a deficiência e diferença/diversidade. Destaca-se, a partir de 2004, a forte presença dos discursos da diversidade e da inclusão. Conclui-se que os discursos da diversidade, articulados aos da Educação Especial, são condição de possibilidade para a existência da diferença/identidade surda nos cursos de Educação Especial em Santa Maria. Também se conclui que o currículo em vigor iniciado em 2004, comparativamente aos outros currículos, evidencia uma ampliação dos discursos pedagógicos, a diminuição dos discursos das deficiências e a ampliação dos discursos da surdez como diferença. A tese defendida é que os currículos, ao modificarem-se para serem atualizados, contemplam a diversidade e não a diferença surda. Pesquisadores e profissionais da indústria reconhecem a importância do desenvolvimento de sistemas cientes de contexto, visto que tais sistemas cada vez mais fazem parte da vida cotidiana das pessoas. Para projetar, comunicar decisões de projeto e representar os aspectos estruturais e comportamentais destes sistemas, os desenvolvedores comumente utilizam a Linguagem de Modelagem Unificada (UML), a qual é amplamente reconhecida como linguagem padrão de modelagem de software. Porém, dada a crescente diversidade de técnicas de modelagem e a incapacidade da UML em representar os conceitos de sistemas cientes de contexto, é particularmente desafiante para os desenvolvedores objetivamente projetar e comunicar decisões de projetos de tais sistemas. Consequentemente, os desenvolvedores geralmente não dispõem de ferramentas que facilitem a representação de contexto de uma forma adequada, ao passo que propõem notações para contornar o problema, agravando ainda mais o problema da heterogeneidade das técnicas de modelagem atuais. O problema central é que a UML é imprecisa para representar o conceito de contexto e rígida para incorporar novos conceitos. Outro problema é que as ferramentas acadêmicas e comerciais de modelagem atuais - incluindo IBM RSA, Astah, Borland Together - não dão suporte à representação e à validação de modelos de contexto. Este trabalho, portanto, propõe uma extensão da UML para modelagem de contexto, a qual visa não só permitir a representação e validação dos principais aspectos de contexto, como também potencializar uma melhor comunicação de decisões de projeto de sistemas cientes de contexto. Também é proposto um ambiente de modelagem específico de domínio para tornar possível a modelagem de sistemas cientes de contexto, o qual foi implementado como um plug­in da plataforma Eclipse utilizando os frameworks GMF, EMF e UML2tool. Este ambiente permite não só representar o conceito de contexto seguindo a abordagem proposta, bem como avaliar a corretude dos modelos criados. A extensão e a ferramenta proposta foram avaliadas através de um questionário abordando a modelagem proposta comparada com modelagens que utilizam a UML pura. Essa avaliação permitiu determinar os reais benefícios do trabalho desenvolvido e onde os resultados sugerem que a modularização das informações de contexto em um novo conceito chamado de UML2Context traz benefícios, quando comparada com a decomposição de tais informações com a UML Pura. Os resultados apontaram que a UML2Context aumentou a taxa de respostas corretas em 28,41%, reduziu o esforço de interpretação em 61,03% e melhorou a interpretação dos modelos de contexto em 35,98%, se mostrando eficaz para modelagem de sistemas ubíquos. / Researchers and industry professionals recognize the importance of developing context-aware systems, as these systems increasingly are part of everyday life of people. To design, communicate design decisions and represent the structural and behavioral aspects of these systems, developers commonly use the Unified Modeling Language (UML), which is widely recognized as the standard language of software modeling. However, given the increasing diversity of modeling techniques and UML's inability to represent the concepts of context-aware systems, is particularly challenging for developers to design and objectively communicate design decisions of such systems. Usually developers don’t have the tools to facilitate the representation of context in an appropriate manner, whereas propose notations to solve the problem, further aggravating the problem of heterogeneity of current modeling techniques. The main problem is that UML is inaccurate to represent the concept of context and rigid to incorporate new concepts. Another problem is that academic and commercial tools of current modeling - including IBM RSA, Astah, Borland Together - do not support the representation and validation of context models. This paper therefore proposes an extension of UML for modeling context, which aims not only to allow the representation and validation of the key aspects of context, but also enhance communication of project decision of context aware systems. It also proposes a domain specific modeling environment that enable the modeling of context-aware systems, which was implemented as an Eclipse platform plugin using the GMF frameworks, EMF and UML2tool. This environment will not only represent the concept of context following the proposed approach and to evaluate the correctness of the models. The extent and the proposed tool was evaluated through a questionnaire addressing the proposed model compared with modelings that using the standard UML. This avaliation allowed us to evaluate the real benefits of work and where the results suggest that the modularization of context information in a new concept called UML2Context brings benefits compared with the decomposition of such information with the pure UML. The results link that UML2Context increased the rate of correct answers in 28.41%, reduced the effort of interpretation in 61,03% and improved the interpretation of context models in 35.98%, proving effective for modeling ubiquitous systems.

Os sistemas de manufatura há muito vêm sendo objeto de interesse por profissionais e pesquisadores devido à busca de melhores técnicas visando o aumento da produtividade bem como pelo aumento da competitividade empresarial ao longo dos anos. Dentre seus componentes, o sistema de movimentação de materiais merece atenção especial pois, apesar de não aumentar o valor do produto, é responsável por manter o fluxo de materiais entre máquinas, células de manufatura, centros de custos ou mesmo entre empresas, que é imprescindível para qualquer sistema produtivo. Neste contexto, o presente trabalho propõe uma metodologia para a modelagem de sistemas flexíveis de movimentação de materiais e partes em ambiente fabril, focando-se em sistemas cuja movimentação possa ser realizada por VATs (Veículos Autônomos de Transporte). Considerando-se o sistema de movimentação de materiais como sendo um sistema a eventos discretos (SEDs), pode-se empregar técnicas derivadas das Redes de Petri como o PFS (Production Flow Schema) e o E-MFG (Enhanced Mark Flow Graph) na modelagem de tais sistemas. Para tanto, foram introduzidos conceitos de orientação a objetos ao E-MFG de forma a ampliar sua capacidade de modelagem, possibilitando a migração de um paradigma de modelagem orientada a processos para um de modelagem híbrida orientada a processos e a objetos. Como estudo de caso, apresenta-se a modelagem de uma simplificação do sistema de movimentação de materiais da Mercedes Benz do Brasil, situada em São Bernardo do Campo, São Paulo, para a qual se aplica a metodologia proposta. / Manufacturing systems have been object of interest of many professionals and researchers through the years due to the search of better methods for raising goods productivity and managerial competitiveness. Among its components, the material movement system deserves special attention because even not increasing the product value, it is responsible for keeping the flow of materials between machines, manufacturing cells, cost centers and also between companies, which is indispensable for any productive system. In this context, this work proposes a methodology for modeling flexible systems for materials and parts movement in the industrial environment, focusing on systems whose movement can be performed by AGVs (Autonomous Guided Vehicles). Considering the materials movement system as a Discrete Event System (DES), techniques derived from Petri Nets as PFS (Production Flow Schema) and E-MFG (Enhanced Mark Flow Graph) can be used for modeling those systems. To this purpose, concepts of object orientation are introduced to E-MFG in order to increase its modeling capacity, allowing the migration from the process oriented modeling paradigm to an hybrid object and process oriented modeling. A simplification of the materials movement system of the plant of "Mercedes Benz do Brasil", which is located in São Bernado do Campo, São Paulo, was used as a study case to illustrate the methodology presented.

Este trabalho tem por objetivo localizar faltas em sistemas de distribuição de energia elétrica utilizando apenas dados de tensão pós-falta. Não são utilizados dados de corrente pois sua medição não é um requisito mínimo dos medidores inteligentes. Os dados coletados são fornecidos a um sistema fuzzy multicamadas. A seleção dos dados de entrada para o treinamento do sistema inteligente é uma característica exclusiva deste trabalho, por ser continuação da metodologia desenvolvida durante o mestrado do autor desta tese. O cenário estudado é um alimentador de um sistema de distribuição real, com 1600 barras e 505 transformadores. Para efeito de comparação de resultados, a distância da falta é obtida de duas formas: pela composição das estimações das impedâncias de sequência zero e positiva e pela estimação direta da distância. Os resultados se mostram satisfatórios, com erros condizentes aos que são encontrados na literatura, sendo que a estimação direta da distância da falta mostrou resultados ligeiramente melhores. / This work aims to locate faults in electrical energy distribution systems using only post-fault voltage data. Current data is not used because their measurement is not a minimum requirement of smart meters. The collected data is applied to a multilayer fuzzy inference system. The way voltage data is selected to train the fuzzy system is an exclusive feature of this work, since it is a continuation of the methodology developed during the master\'s dissertation of this thesis author. The scenario studied is a feeder of an actual distribution system, with 1600 buses and 505 transformers. For the purpose of results comparison, the distance of the fault is obtained in two ways: by the composition of the zero and positive sequence impedances estimations and by the direct estimation of the distance. The results are satisfactory, with errors that are consistent with those found in the literature, while the direct estimation of the fault distance presented slightly better results.

Orientador: Takaaki Ohishi / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-10T05:34:59Z (GMT). No. of bitstreams: 1 Pereira_JoaquimJoseFantin_M.pdf: 1686812 bytes, checksum: 5ff18327a2f501a5035fbf6c56ae0eda (MD5) Previous issue date: 2007 / Resumo: A tomada de decisão, em qualquer setor e nos mais diversos níveis, é um processo cada vez mais complexo, principalmente em função do nível de incerteza em relação ao futuro. Neste contexto, a disponibilidade de previsões torna-se um fator importante para uma decisão mais eficaz. As ferramentas de reconhecimento de padrões, por sua vez, são importantes em muitas áreas, tais como nas determinações de comportamentos típicos e em sistemas de controle. Nessa conjuntura, a proposta deste trabalho consistiu em explorar a criação e o uso de uma linguagem de programação visual, denominada Linguagem VisualPREV, de modo a facilitar a concepção e a execução dos modelos de previsão e classificação. Nesta Linguagem, blocos visuais colocados num diagrama (interface visual computacional) representam conceitos envolvidos num processo de modelagem do problema. O modelo pode então ser configurado, executado e armazenado para acesso futuro. Embora essa escolha implique uma perda de vantagens exclusivas da programação em código tradicional, como a maior flexibilidade para programação genérica, por exemplo, a linguagem diminui sensivelmente o tempo de criação dos modelos específicos para tratamento de dados em previsão de séries temporais e reconhecimento de padrões. Em algumas aplicações com dados relevantes, a linguagem foi avaliada com critérios baseados em métricas de usabilidade e os resultados foram discutidos ao longo do trabalho / Abstract : Decision making, in any area and in many different levels, is a process with growing complexity, mainly if you consider the level of uncertainty related to the future. In this context, the possibility of forecasting plays a major role in an efficient decision. On the other hand, pattern recognition tools are important in many areas, like fitting typical behaviors and in control systems, as well. In this context, we propose a visual programming language, called VisualPREV Language, intended to make easier the conception and execution of forecasting and pattern recognition models. Within this language, visual blocks that can be put into a diagram (computational visual interface) represent concepts involved when modeling the processes. These models can be configured, executed and stored for future access. Although these approach implies losing exclusive advantages of traditional programming (like flexibility of generic programming, for example), VisualPREV decreases considerably the amount of time needed for creating specific models for forecasting and pattern recognition. In few applications with relevant data, the language was evaluated based on usability metrics, and the results were discussed throughout the text / Mestrado / Energia Eletrica / Mestre em Engenharia Elétrica

The area of business process management in general and and especially business process design has only recently discovered potential applications of social software to facilitate and support collaboration [Scheer and Klueckmann, 2009]. This development is also fueled by the practical insight that organizations have experienced top-down approaches in the design and implementation of business processes to be not effective. In fact, many process management initiatives failed due to a lack of acceptance of chosen methods and tools. As a consequence in many organizations so called [Klückmann and Scheer, 2009] "Guerilla approaches" have been followed where individual organizational units introduced their own business process management philosophy and as well techniques and tools that fit their specific needs. However, Klückmann and Scheer [2009] stress the fact that although distributed business process management initiatives should generally not be hindered, it is important to channel and integrate these initiatives towards a more consistent and efficient process management in the large. Business process modeling in this context serves several purposes in the process management cycle. One purpose is the analysis of business processes to uncover potential performance weaknesses and provide a basis for improvements. Another purpose is the unambiguous documentation of business processes as a resource for knowledge transfer, organizational learning and governance. An increasingly important purpose is the use of process models to support the design and engineering of respective enterprise information systems [Davies et al., 2006]. Hence, the complex and abstract nature of process models and the closedness of process modeling environments has prevented them to be broadly accepted and used by non-experts [Nolte et al., 2011] viz the process community in a wider sense. Consequently, process documentation and models in organizations frequently is outdated, incomplete and inconsistent. This model-reality divide in turn leads to even more reluctance towards the adoption of process modeling environments and use of process models. Bridging this model-reality divide by fostering open and fluent col- laboration through adequate features inspired by social software has gained growing attention by academia and industry [Mathiesen et al., 2012]. Although both industry and academia have addressed the need for collaboration support in process modeling only limited insight exists regarding the specific requirements for software-support in collaborative process modeling. This work refers to existing research (e.g. [Mendling et al., 2012; Riemer et al., 2011]) on requirements for software-support in collaborative process modeling and wiki-based process modeling (e.g. [Ghidini et al., 2010; Dengler and Vrandecic, 2011]). and pursues the following goals: (1) gain an understanding of the nature and requirements of collaborative process modeling in practice, (2) investigate how these requirements can be addressed through the design of a wiki-based collaborative process modeling environment, and (3) gain insight how a wiki-based collaborative process modeling environment supports process design activities in practice. To address these goals a design science approach has been followed. Through a systematic literature review and qualitative expert interviews a preliminary understanding of the problem domain and specification of requirements has been achieved. Through the extension and adaption of a well-proven collaboration platform (a wiki engine) for process modeling support several of the previously identified design issues have been addressed. In particular, issues regarding the flexible integration of a visual process modeling interface component into a collaboration environment and issues regarding concurrent scenarios in process modeling have been discussed in detail and realized partly on a technical level. Two major software components have been developed for the support of collaborative process modeling. First, a light-weight and easily integratable user-interface component for process model creation has been developed and integrated into the collaboration environment (a wiki engine). Second, the identification and handling of concurrent situations when multiple modelers access and modify a process model page has been implemented on an element level which allows for the interactive resolution and semi-automatic merging of conflicting revisions of a process model. Case-studies in an industrial and an academic setting provided valuable insights in the practice of collaborative process modeling and gave feedback on the applicability of a wiki-based approach. The first case-study of a process re-design in the recruiting department of an office supply manufacturing company in Hungary describes the insights gained during a long-term collaboration within a small group. Findings were especially valuable for further enhancements of the software and an understanding of practical requirements in iterative model creation and validation. The second case-study in the context of two bachelor and master courses in information system design has lead to insights regarding the requirements in highly dynamic collaboration scenarios in small groups and large groups but as well regarding the efficiency and effectiveness of wiki-based process modeling in collaborative learning processes. (author's abstract)