The Front End of Innovation (FEI) is the early phase of the Product Development Process, responsible for the concept generation and an important driver of innovation success. The FEI is characterized by roles\' dynamism, ambiguity, and uncertainty. Several authors divide the FEI into other sub-phases in order to organize its activities, roles, and understand the function of each role. Despite the growing research about the FEI in recent years, there is a need for further research on the theme to better understand the dynamics and help to reduce the uncertainty in the critical concept phase. The formal processes designed for the front end are insufficient, the rules and roles are not fully described, and it is necessary to balance the interactions between the activities in the FEI to get a better-structured New Product Development - NPD - later. The main FEI models developed at the literature have discussed some key roles such marketing, engineering, customers, but they do not discussed the role of design, which is critical in creative activities which, in turn, are the nature of the new product development process. The literature also has not discussed the external integration in the FEI, that is, how the Brand Owners integrate the partners, especially the suppliers and design agencies, in this critical and uncertain phase. To tackle this issue, this research aims to examine the FEI in a dynamic industry, examining the integration of roles in an iterative process. The objective of this research is to identify the roles that play in the Front End of Innovation and the mechanisms of integration, whether internal through cross-functional teams; or external through interfirms integration. The main question that guided this research is \"What roles are involved in each FEI activity and what are the mechanism that integrate these roles in the FEI?\". This is qualitative and exploratory research, based on multiple-cases-studies. For this study, the packaging industry was selected because of its value chain in the concept phase, which has a complex set of relationships among its parties, Brand Owner, Design Agencies and Packaging Producers. The consumers buy the product by the performance of the same and also by the packaging. Packaging is considered a second product at the point of sale and a vital buying decision factor. Brand Owners understand that they need to integrate suppliers into the FEI to assist them in identifying opportunities, ideation, and conceptualization. Five brand owners were interviewed, and the FEI has been divided into five activities: Opportunity Identifications and Analysis, Idea Generation, Idea Enrichment, Idea Selection, and Concept Development. / O Front End de Inovação (FEI) é a fase inicial do processo de desenvolvimento de produtos, responsável pela geração de conceitos e um importante motor de sucesso na inovação. O FEI caracteriza-se pelo dinamismo, a ambiguidade e a incerteza dos papéis. Vários autores dividem o FEI em outras subfases, a fim de organizar suas atividades, papéis e compreender a função de cada função. Apesar da crescente pesquisa sobre o FEI nos últimos anos, há necessidade de novas pesquisas sobre o assunto para entender melhor a dinâmica e ajudar a reduzir a incerteza na fase conceitual crítica. Os processos formais projetados para o front-end são insuficientes, os papéis e as regras e não são totalmente descritos e é necessário equilibrar as interações entre as atividades no FEI para obter um melhor estruturado Desenvolvimento de Novos Produtos - NPD - depois. Os principais modelos de FEI desenvolvidos na literatura discutem alguns papéis fundamentais como marketing, engenharia, consumidores, mas não discutem o papel do design, crítico nas atividades criativas, que, por sua vez, são a natureza do processo de desenvolvimento de novos produtos. A literatura também não tem discutido a integração externa no FEI, ou seja, como os clientes integram os parceiros, especialmente os fornecedores e agências de design, nesta fase crítica e incerta. Para abordar esta questão, esta pesquisa visa examinar o FEI em uma indústria dinâmica, examinando a integração de papéis em um processo iterativo. O objetivo desta pesquisa é identificar os papéis que desempenham no Front End de Inovação e os mecanismos de integração, sejam eles internos através de equipes multifuncionais; ou externos através da integração entre firmas. A principal questão que guiou esta pesquisa é \"Quais papéis estão envolvidas em cada atividade do FEI e quais são os mecanismos que integram estes papéis no FEI?\" Trata-se de uma pesquisa qualitativa e exploratória, baseada em estudos de casos múltiplos. Para este estudo, o setor de embalagens foi selecionado por sua cadeia de valor na fase conceitual, que possui um conjunto complexo de relacionamentos entre suas partes, as Indústrias de Bens de Consumo, as Agências de Design e os Produtores de Embalagens. Os consumidores compram o produto pela performance do mesmo e também pela embalagem. A embalagem é considerada um segundo produto no ponto de venda e um fator de decisão de compra vital. As Indústrias de Bens de Consumo entendem que precisam integrar fornecedores no FEI para ajudá-las a identificar oportunidades, ideação e conceituação. Foram entrevistados cinco Indústrias de Bens de Consumo e o FEI foi dividido em cinco atividades: Identificações e Análises de Oportunidades, Geração de Ideias, Enriquecimento de Ideias, Seleção de Ideias e Desenvolvimento de Conceitos.

Aprendizado em fluxo de dados é uma área de pesquisa importante e que vem crescendo nos últimos tempos. Em muitas aplicações reais os dados são gerados em uma sequência temporal potencialmente infinita. O processamento em fluxo possui como principal característica a necessidade por respostas que atendam restrições severas de tempo e memória. Por exemplo, um classificador aplicado a um fluxo de dados deve prover uma resposta a um determinado evento antes que o próximo evento ocorra. Caso isso não ocorra, alguns eventos do fluxo podem ficar sem classificação. Muitos fluxos geram eventos em uma taxa de chegada com grande variabilidade, ou seja, o intervalo de tempo de ocorrência entre dois eventos sucessivos pode variar muito. Para que um sistema de aprendizado obtenha sucesso na aquisição de conhecimento é preciso que ele apresente duas características principais: (i) ser capaz de prover uma classificação para um novo exemplo em tempo hábil e (ii) ser capaz de adaptar o modelo de classificação de maneira a tratar mudanças de conceito, uma vez que os dados podem não apresentar uma distribuição estacionária. Algoritmos de aprendizado de máquina em lote não possuem essas propriedades, pois assumem que as distribuições são estacionárias e não estão preparados para atender restrições de memória e processamento. Para atender essas necessidades, esses algoritmos devem ser adaptados ao contexto de fluxo de dados. Uma possível adaptação é tornar o algoritmo de classificação anytime. Algoritmos anytime são capazes de serem interrompidos e prover uma resposta (classificação) aproximada a qualquer instante. Outra adaptação é tornar o algoritmo incremental, de maneira que seu modelo possa ser atualizado para novos exemplos do fluxo de dados. Neste trabalho é realizada a investigação de dois métodos capazes de realizar o aprendizado em um fluxo de dados. O primeiro é baseado no algoritmo k-vizinhos mais próximo anytime estado-da-arte, onde foi proposto um novo método de desempate para ser utilizado neste algoritmo. Os experimentos mostraram uma melhora consistente no desempenho deste algoritmo em várias bases de dados de benchmark. O segundo método proposto possui as características dos algoritmos anytime e é capaz de tratar a mudança de conceito nos dados. Este método foi chamado de Algoritmo Anytime Incremental e possui duas versões, uma baseado no algoritmo Space Saving e outra em uma Janela Deslizante. Os experimentos mostraram que em cada fluxo cada versão deste método proposto possui suas vantagens e desvantagens. Mas no geral, comparado com outros métodos baselines, ambas as versões apresentaram melhor desempenho. / Data stream learning is a very important research field that has received much attention from the scientific community. In many real-world applications, data is generated as potentially infinite temporal sequences. The main characteristic of stream processing is to provide answers observing stringent restrictions of time and memory. For example, a data stream classifier must provide an answer for each event before the next one arrives. If this does not occur, some events from the data stream may be left unclassified. Many streams generate events with highly variable output rate, i.e. the time interval between two consecutive events may vary greatly. For a learning system to be successful, two properties must be satisfied: (i) it must be able to provide a classification for a new example in a short time and (ii) it must be able to adapt the classification model to treat concept change, since the data may not follow a stationary distribution. Batch machine learning algorithms do not satisfy those properties because they assume that the distribution is stationary and they are not prepared to operate with severe memory and processing constraints. To satisfy these requirements, these algorithms must be adapted to the data stream context. One possible adaptation is to turn the algorithm into an anytime classifier. Anytime algorithms may be interrupted and still provide an approximated answer (classification) at any time. Another adaptation is to turn the algorithm into an incremental classifier so that its model may be updated with new examples from the data stream. In this work, it is performed an evaluation of two approaches for data stream learning. The first one is based on a state-of-the-art k-nearest neighbor anytime classifier. A new tiebreak approach is proposed to be used with this algorithm. Experiments show consistently better results in the performance of this algorithm in many benchmark data sets. The second proposed approach is to adapt the anytime algorithm for concept change. This approach was called Incremental Anytime Algorithm, and it was designed with two versions. One version is based on the Space Saving algorithm and the other is based in a Sliding Window. Experiments show that both versions are significantly better than baseline approaches.

Para sistematizar os testes e contornar as restrições de tempo e custo associadas à atividade de teste, diversas técnicas, critérios e ferramentas têm sido desenvolvidas. Além disso, visando ao estabelecimento de uma estratégia de teste incremental, que apresente baixo custo de aplicação e alta eficácia em revelar a presença de erros, estudos teóricos e empíricos vêm sendo conduzidos pela comunidade de teste. O presente trabalho está inserido nesse contexto e tem como objetivo a realização de estudos empíricos para comparar a adequação entre os critérios baseados em erros - Análise de Mutantes (teste de unidade) e Mutação de Interface (teste de integração) - visando ao estabelecimento de estratégias de teste de baixo custo e eficazes, que englobem todo o ciclo de desenvolvimento de software. Nessa perspectiva, algumas estratégias incrementais de aplicação dos operadores de mutação de unidade e de integração são definidas, explorando o aspecto complementar dos critérios baseados em mutação, reduzindo com isso os custos da atividade de teste durante as fases do teste de unidade e de integração, sem comprometer sua qualidade. Ainda, um conjunto essencial de operadores de mutação para o critério Mutação de Interface é apresentado. / Techniques, criteria and tools have been developed and investigated making the testing activity more systematic and aiming at overcoming associated time and cost constraints. Pursuing the establishment of an incremental, low-cost and effective testing strategy, theoretical and empirical studies have been conducted by the testing community. The work proposed here is within this context and aims to conduct empirical studies for evaluating the adequacy between error based criteria - Mutation Analysis (unit testing) and Interface Mutation (integration testing). Therefore, this work intends to establish low-cost and effective testing strategies that would comprise all software development cycle. In this perspective, some incremental testing strategies for mutant operators application are defined exploring the complementary aspects of unit and integration error based criteria, reducing theirs costs without losses in testing quality. In this scope, an essential mutant operators set for Interface Mutation criterion is characterized.

Local opposition to town planning applications creates time delays for developers, town planners, and municipal authorities, while also increasing financial costs associated with development. For local communities, opposition means considerable time and financial investment to protect the place they live in from unwanted development. Place attachment, which develops as a result of experiences with or in a place, is one of the reasons why local communities oppose land development – this reaction towards proposed land changes is often considered NIMBYist. Although disciplines such as natural resource management already trained its focus on the influence of place attachment as a motivating factor in participatory planning intentions internationally, it is not clear whether there exists a relationship between place attachment and public participation in South African town planning processes. As such, the aim of this research is to explore the relationship between place attachment and public participation in a South African town planning process. This research focuses on the lived experience of place attachment of residents of the Bult area of the Tlokwe Local Municipality in the North West Province of South Africa, and the role that place attachment experiences played in their participation in a town planning process. The research design is qualitative, using archival data, located participant interviews, and supportive photographic data to explore the lived experiences of 18 participants from three case studies. The data was analysed thematically. The data indicated the link between actual or potential incremental changes through town planning actions in an urban environment and the impact these changes had on the well-being of the residents of that place. The effect of incremental urban changes, actual or potential, motivated participants to participate in the public participation process of rezoning applications in order to oppose the environmental changes. These potential and/or actual environmental changes also led to place protective actions outside the formal participation process. This research indicates that due consideration should be given to opposition to town planning applications, as it can in fact be driven by deeper emotional reasons that cannot be expressed in the legal and technical language associated with the town planning discipline. These reactions should not be considered in a negative light by developers, town planners, and municipal authorities, as they can provide insight on what types of land use changes can implemented successfully in a place. To this effect, a life cycle relationship between place attachment and public participation in a town planning process (as it happened in the three case studies) is proposed as a point of departure for future research. A suggestion is made to incorporate place attachment in urban planning practice. / PhD (Urban and Regional Planning), North-West University, Potchefstroom Campus, 2015

Local opposition to town planning applications creates time delays for developers, town planners, and municipal authorities, while also increasing financial costs associated with development. For local communities, opposition means considerable time and financial investment to protect the place they live in from unwanted development. Place attachment, which develops as a result of experiences with or in a place, is one of the reasons why local communities oppose land development – this reaction towards proposed land changes is often considered NIMBYist. Although disciplines such as natural resource management already trained its focus on the influence of place attachment as a motivating factor in participatory planning intentions internationally, it is not clear whether there exists a relationship between place attachment and public participation in South African town planning processes. As such, the aim of this research is to explore the relationship between place attachment and public participation in a South African town planning process. This research focuses on the lived experience of place attachment of residents of the Bult area of the Tlokwe Local Municipality in the North West Province of South Africa, and the role that place attachment experiences played in their participation in a town planning process. The research design is qualitative, using archival data, located participant interviews, and supportive photographic data to explore the lived experiences of 18 participants from three case studies. The data was analysed thematically. The data indicated the link between actual or potential incremental changes through town planning actions in an urban environment and the impact these changes had on the well-being of the residents of that place. The effect of incremental urban changes, actual or potential, motivated participants to participate in the public participation process of rezoning applications in order to oppose the environmental changes. These potential and/or actual environmental changes also led to place protective actions outside the formal participation process. This research indicates that due consideration should be given to opposition to town planning applications, as it can in fact be driven by deeper emotional reasons that cannot be expressed in the legal and technical language associated with the town planning discipline. These reactions should not be considered in a negative light by developers, town planners, and municipal authorities, as they can provide insight on what types of land use changes can implemented successfully in a place. To this effect, a life cycle relationship between place attachment and public participation in a town planning process (as it happened in the three case studies) is proposed as a point of departure for future research. A suggestion is made to incorporate place attachment in urban planning practice. / PhD (Urban and Regional Planning), North-West University, Potchefstroom Campus, 2015

到目前為止，針對出現在kakeru構文中的意義解釋上的差異，在現有的研究中並沒有做出明確的探討。本論文的目的，是利用LCS，有系統性地統一掌握該差異，並給予明確的說明。在過去的研究裡，說明了藉由動詞的aspect來確定kakeru構文的解釋是「動作開始前的用法」或是「動作發生途中的用法」。但該動詞分類的基準不明確，同時又侷限了對解釋的說明。即使試著做整體性的說明，卻還是會產生矛盾。因此，在本論文中，首次嘗試將LCS理論導入kakeru構文的研究，藉此來客觀整理每個動詞所擁有的成立點（語彙上的aspect），並將該成立點會對kakeru構文的解釋帶來何種影響，做出系統性的論述。　　　 本稿共分為六章。在諸論，說明本論文的目的和動機、方法、架構、以及研究範圍。在第一章，舉出過去的研究，並指出其問題點。在第二章，用LCS來探討Vendler四分類的動詞擁有什麼樣的成立點之後，將本論文的主張做出整理，並提出理論。從第三章以後，根據第二章所提出的理論，如在第三章的activity、第四章的achievement、及第五章的accomplishment，根據過去的研究，將各個動詞再做更細部的分類，並舉出用例，來證明其理論的有效性。最後在第六章做出結論。 從以上論述，可將kakeru構文的意義總結為「動詞（句）表示的動作未到達成立點」，由此根據文脈，導出「将動相」「将変相」的解釋並做出結論。

<p>In a broader sense the main research objective of this thesis (and ongoing research work) is distributed knowledge management for mobile dynamic systems. But the primary focus and presented work focuses on communication/interoperability of heterogeneous entities in an infrastructure less paradigm, a distributed resource manipulation infrastructure and distributed learning in the absence of global knowledge. The research objectives achieved discover the design aspects of heterogeneous distributed knowledge systems towards establishing a seamless integration. This thesis doesn’t cover all aspects in this work; rather focuses on interoperability and distributed learning.</p><p>Firstly a discussion on the issues in knowledge management for swarm of heterogeneous entities is presented. This is done in a broader and rather abstract fashion to provide an insight of motivation for interoperability and distributed learning towards knowledge management. Moreover this will also serve the reader to understand the ongoing work and research activities in much broader perspective.</p><p>Primary focus of this thesis is communication/interoperability of heterogeneous entities in an infrastructure less paradigm, a distributed resource manipulation infrastructure and distributed learning in the absence of global knowledge. In dynamic environments for mobile autonomous systems such as robot swarms or mobile software agents there is a need for autonomic publishing and discovery of resources and just-in-time integration for on-the-fly service consumption without any a priori knowledge. SOA (Service-Oriented Architecture) serves the purpose of resource reuse and sharing of services different entities. Web services (a SOA manifestation) achieves these objectives but its exploitation in dynamic environments, where the communication infrastructure is lacking, requires a considerable research. Generally Web services are exploited in stable client-server paradigms, which is a pressing assumption when dynamic distributed systems are considered. UDDI (Universal Description Discovery and Integration) is the main pediment in the exploitation of Web services in distributed control and dynamic natured systems. UDDI can be considered as a directory for publication and discovery of categorized Web services but assumes a centralized registry; even if distributed registries and associated mechanism are employed problems of collaborative communication in infrastructure less paradigms are ignored.</p><p>Towards interoperability main contribution this thesis is a mediator-based distributed Web services discovery and invocation middleware, which provides a collaborative and decentralized services discovery and management middleware for infrastructure-less mobile dynamic systems with heterogeneous communication capabilities. Heterogeneity of communication capabilities is abstracted in middleware by a conceptual classification of computing entities on the basis of their communication capabilities and communication issues are resolved via conceptual overlay formation for query propagation in system.</p><p>The proposed and developed middleware has not only been evaluated extensively using Player Stage simulator but also been applied in physical robot swarms. Experimental validations analyze the results in different communication modes i. active and ii. passive mode of communication with and without shared resource conflict resolution. I analyze discoverable Web services with respect to time, services available in complete view of cluster and the impact and resultant improvements in distributed Web services discovery by using caching and semantics.</p><p>Second part of this thesis focuses on distributed learning in the absence of global information. This thesis takes the argument of defeasibility (common-sense inference) as the basis of intelligence in human-beings, in which conclusions/inferences are drawn and refuted at the same time as more information becomes available. The ability of common-sense reasoning to adapt to dynamic environments and reasoning with uncertainty in the absence of global information seems to be best fit for distributed learning for dynamic systems.</p><p>This thesis, thus, overviews epistemic cognition in human beings, which motivates the need of a similar epistemic cognitive solution in fabricated systems and considers formal concept analysis as a case for incremental and distributed learning of formal concepts. Thesis also presents a representational schema for underlying logic formalism and formal concepts. An algorithm for incremental learning and its use-case for robotic navigation, in which robots incrementally learn formal concepts and perform common-sense reasoning for their intelligent navigation, is also presented. Moreover elaboration of the logic formalism employed and details of implementation of developed defeasible reasoning engine is given in the latter half of this thesis.</p><p>In summary, the research results and achievements described in this thesis focus on interoperability and distributed learning for heterogeneous distributed knowledge systems which contributes towards establishing a seamless integration in mobile dynamic systems.</p> / QC 20100614 / ROBOSWARM EU FP6

This thesis describes novel machine learning techniques specifically designed for use in real-time embedded systems. The techniques directly address three major requirements of such learning systems. Firstly, learning must be capable of being achieved incrementally, since many applications do not have a representative training set available at the outset. Secondly, to guarantee real-time performance, the techniques must be able to operate within a deterministic and limited time bound. Thirdly, the memory requirement must be limited and known a priori to ensure the limited memory available to hold data in embedded systems will not be exceeded. The work described here has three principal contributions. The frequency table is a data structure specifically designed to reduce the memory requirements of incremental learning in embedded systems. The frequency table facilitates a compact representation of received data that is sufficient for decision tree generation. The frequency table decision tree (FTDT) learning method provides classification performance similar to existing decision tree approaches, but extends these to incremental learning while substantially reducing memory usage for practical problems. The incremental decision path (IDP) method is able to efficiently induce, from the frequency table of observations, the path through a decision tree that is necessary for the classification of a single instance. The classification performance of IDP is equivalent to that of existing decision tree algorithms, but since IDP allows the maximum number of partial decision tree nodes to be determined prior to the generation of the path, both the memory requirement and the execution time are deterministic. In this work, the viability of the techniques is demonstrated through application to realtime mobile robot navigation.

In this work we present the first implementation of the incremental scheme for coupled cluster linear-response frequency-dependent dipole polarizabilities. The implementation is fully automated and makes use of the domain-specific basis set approach. The accuracy of the approach is determined on the basis of a test suite of 47 molecules and small clusters. The local approximation in the coupled cluster singles and doubles polarizability exhibits a mean error of 0.02% and a standard deviation of 0.32% when using a third-order incremental expansion. With the proposed approach, it is possible to compute polarizabilities with larger basis sets compared to the canonical implementation and thus it is possible to obtain higher total accuracy. The incremental scheme yields the smallest errors for weakly-bound and quasi-linear systems, while two- and three-dimensional (cage-like) structures exhibit somewhat larger errors as compared to the full test set. / Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.

The U.S. Army Corps of Engineers is a federal agency with a mission to develop water resource projects to benefit the nation. Some of its large scale projects have been built to benefit cities, but through unintended consequences have caused economic and environmental damages. For example, its control of Mississippi River flooding has protected the City of New Orleans, but contributed to land loss in coastal Louisiana, and by some accounts, made the population more susceptible to hurricane damage. The agency has now embarked on a mission to restore some of the damaged environmental areas. This dissertation evaluates whether policies and practices used by the agency to evaluate and select plans to implement is logically flawed and could produce suboptimal project selection. The primary issue is the practice of including only implementation costs in the analysis while excluding other positive and negative economic impacts. A case study is performed using the method to evaluate a traditional economic development project for which optimal project selection has already been determined using widely accepted benefit-cost practices. The results show that the Corps' environmental project evaluation method would cause rejection of the most efficient plan. The loss of welfare that would result from using this technique is measured by comparing the welfare gain of the optimal project to the welfare gain of the suboptimal projects which could be selected using the flawed methodology. In addition, the dissertation evaluates whether suboptimal results could be produced using two other current Corps policies: selecting projects based on production efficiency, and the exclusion of environmental benefits from the discounting process. For the first policy, a simple counter example shows how clearly inferior choices may come from including only supply considerations in investment choices. For the second policy, it is demonstrated mathematically that refraining from discounting benefits while discounting costs causes a bias towards selection of plans that take longer to build, are delayed in their implantation, or a combination of the two.