915 resultados para Knowledge base maintenance


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Microbial inhabitants of soils are important to ecosystem and planetary functions, yet there are large gaps in our knowledge of their diversity and ecology. The ‘Biomes of Australian Soil Environments’ (BASE) project has generated a database of microbial diversity with associated metadata across extensive environmental gradients at continental scale. As the characterisation of microbes rapidly expands, the BASE database provides an evolving platform for interrogating and integrating microbial diversity and function.

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This paper presents a new hyper-heuristic method using Case-Based Reasoning (CBR) for solving course timetabling problems. The term Hyper-heuristics has recently been employed to refer to 'heuristics that choose heuristics' rather than heuristics that operate directly on given problems. One of the overriding motivations of hyper-heuristic methods is the attempt to develop techniques that can operate with greater generality than is currently possible. The basic idea behind this is that we maintain a case base of information about the most successful heuristics for a range of previous timetabling problems to predict the best heuristic for the new problem in hand using the previous knowledge. Knowledge discovery techniques are used to carry out the training on the CBR system to improve the system performance on the prediction. Initial results presented in this paper are good and we conclude by discussing the con-siderable promise for future work in this area.

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The U.S. railroad companies spend billions of dollars every year on railroad track maintenance in order to ensure safety and operational efficiency of their railroad networks. Besides maintenance costs, other costs such as train accident costs, train and shipment delay costs and rolling stock maintenance costs are also closely related to track maintenance activities. Optimizing the track maintenance process on the extensive railroad networks is a very complex problem with major cost implications. Currently, the decision making process for track maintenance planning is largely manual and primarily relies on the knowledge and judgment of experts. There is considerable potential to improve the process by using operations research techniques to develop solutions to the optimization problems on track maintenance. In this dissertation study, we propose a range of mathematical models and solution algorithms for three network-level scheduling problems on track maintenance: track inspection scheduling problem (TISP), production team scheduling problem (PTSP) and job-to-project clustering problem (JTPCP). TISP involves a set of inspection teams which travel over the railroad network to identify track defects. It is a large-scale routing and scheduling problem where thousands of tasks are to be scheduled subject to many difficult side constraints such as periodicity constraints and discrete working time constraints. A vehicle routing problem formulation was proposed for TISP, and a customized heuristic algorithm was developed to solve the model. The algorithm iteratively applies a constructive heuristic and a local search algorithm in an incremental scheduling horizon framework. The proposed model and algorithm have been adopted by a Class I railroad in its decision making process. Real-world case studies show the proposed approach outperforms the manual approach in short-term scheduling and can be used to conduct long-term what-if analyses to yield managerial insights. PTSP schedules capital track maintenance projects, which are the largest track maintenance activities and account for the majority of railroad capital spending. A time-space network model was proposed to formulate PTSP. More than ten types of side constraints were considered in the model, including very complex constraints such as mutual exclusion constraints and consecution constraints. A multiple neighborhood search algorithm, including a decomposition and restriction search and a block-interchange search, was developed to solve the model. Various performance enhancement techniques, such as data reduction, augmented cost function and subproblem prioritization, were developed to improve the algorithm. The proposed approach has been adopted by a Class I railroad for two years. Our numerical results show the model solutions are able to satisfy all hard constraints and most soft constraints. Compared with the existing manual procedure, the proposed approach is able to bring significant cost savings and operational efficiency improvement. JTPCP is an intermediate problem between TISP and PTSP. It focuses on clustering thousands of capital track maintenance jobs (based on the defects identified in track inspection) into projects so that the projects can be scheduled in PTSP. A vehicle routing problem based model and a multiple-step heuristic algorithm were developed to solve this problem. Various side constraints such as mutual exclusion constraints and rounding constraints were considered. The proposed approach has been applied in practice and has shown good performance in both solution quality and efficiency.

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This study reports on research that examines the family language policy (FLP) and biliteracy practices of middle-class Chinese immigrant families in a metropolitan area in the southwest of the U.S. by exploring language practices pattern among family members, language and literacy environment at home, parents’ language management, parents’ language attitudes and ideologies, and biliteracy practices. In this study, I employed mixed methods, including survey and interviews, to investigate Chinese immigrant parents’ FLP, biliteracy practices, their life stories, and their experience of raising and nurturing children in an English-dominant society. Survey questionnaires were distributed to 55 Chinese immigrant parents and interviews were conducted with five families, including mothers and children. One finding from this study is that the language practices pattern at home shows the trend of language shift among the Chinese immigrants’ children. Children prefer speaking English with parents, siblings, and peers, and home literacy environment for children manifests an English-dominant trend. Chinese immigrant parents’ language attitudes and ideologies are largely influenced by English-only ideology. The priority for learning English surpasses the importance of Chinese learning, which is demonstrated by the English-dominant home literacy practices and an English-dominant language policy. Parents invest more in English literacy activities and materials for children, and very few parents implement Chinese-only policy for their children. A second finding from this study is that a multitude of factors from different sources shape and influence Chinese immigrants’ FLP and biliteracy practices. The factors consist of family-related factors, social factors, linguistic factors, and individual factors. A third finding from this study is that a wide variety of strategies are adopted by Chinese immigrant families, which have raised quite balanced bilingual children, to help children maintain Chinese heritage language (HL) and develop both English and Chinese literacy. The close examination and comparison of different families with English monolingual children, with children who have limited knowledge of HL, and with quite balanced bilingual children, this study discovers that immigrant parents, especially mothers, play a fundamental and irreplaceable role in their children’s HL maintenance and biliteracy development and it recommends to immigrant parents in how to implement the findings of this study to nurture their children to become bilingual and biliterate. Due to the limited number and restricted area and group of participant sampling, the results of this study may not be generalized to other groups in different contexts.

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Este documento describe brevemente el origen del Proyecto "Centro de Conocimiento sobre/de Grupos Étnicos Indígenas Centroamericanos" denominado "Proyecto GEIC". Expone su misión, sus objetivos y las actividades realizadas en la primera etapa en Costa Rica. Además, explica el proceso de creación de la Base de Datos CEGE y presenta algunas estadísticas elaboradas con la información contenida en la misma. 

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El objetivo del curso es brindar procedimientos que se utilizan para la creación y mantenimiento de bases de datos en bibliotecas y centros de documentación. Enfatizamos en los aspectos siguientes: estructura de la base de datos considerado: campos variables; longitud de cada campo; pertinencia de cada campo; mensajes de ayuda que debe incluir etiquetas; normalización de puntos de acceso y pertinencia de que los formatos de salida sean normalizados.

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This paper discusses the results and propositions of organizational knowledge management research conducted in the period 2001-2007. This longitudinal study had the unique goal of investigating and analyzing “Knowledge Management” (KM) processes effectively implemented in world class organizations. The main objective was to investigate and analyze the conceptions, motivations, practices, metrics and results of KM processes implemented in different industries. The first set of studies involved 20 world cases related in the literature and served as a basis for a theoretical framework entitled “KM Integrative Conceptual Mapping Proposition”. This theoretical proposal was then tested in a qualitative study in three large organizations in Brazil. The results of the qualitative study validated the mapping proposition and left questions for new research concerning the implementation of a knowledge-based organizational model strategy.

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In a highly dynamic society such as we live, have access to the virtual world is an increasingly common practice, is aiming to study, work or to search leisure through chat rooms, sites and games, being incorporated by the most varied groups that end up appropriating these new possibilities of interaction, shaping them in order to adapt them to their needs / wants. The specific purposes pursued through the use of tools available over the Internet can vary considerably when one takes into account specific user groups, which makes the topic quite relevant to problematization, especially when we take into account access through lan houses. This research seeks to study the networks of knowledge, sociability and leisure formed by young people who frequented the "Lan house do Paulo" in São Gonçalo do Amarante - RN based on the use of the online role-playing-game World of Warcraft, which makes possible the interaction of several users through an avatar resident in a virtual world, theoretically questioning the importance of this type of platform for the development and maintenance of social interactions among its users

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The concept of human capital is associated mainly with the Nobel Laureate Gary Becker and, in his usage, has a clear conceptual basis as investment in the costs of formal education. By contrast, this paper suggests that ‘intellectual capital’ is a re-branding of knowledge, skills and experience rather than re-conceptualisation of resource based learning. Becker also chose not to include informal knowledge, skills or experience within his concept of human capital, which remains limited by its constrained premises. This paper submits that both human capital and intellectual capital advocates fail to identify or measure the tacit knowledge and implicit learning which increasingly is recognised as a key to the competitive advantage of organisations. It first focuses on the conceptual basis of claims made for human capital and intellectual capital, outlines limits in their methodology, and contrasts these with insights from theories of tacit knowledge and implicit learning and the central role within them of informal or non-formal skill acquisition. It develops and illustrates instances of interfacing tacit and explicit knowledge before introducing a methodology for profiling the acquisition of knowledge, ability and skills. It does so by introducing the concepts of non-formal learningfrom- work (LfW) and informal learning-from-life (LfL), with evidence from a four country EU case study commissioned within the lifelong learning remit of the Lisbon Agenda.

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No desenvolvimento deste Trabalho de Investigação Aplicada, pretende-se responder à questão: Quais os requisitos necessários a implementar numa base de dados relacional de controlos de segurança da informação para Unidades, Estabelecimentos ou Órgãos militares do Exército Português? Deste modo, para se responder a esta questão central, houve necessidade de subdividir esta em quatro questões derivadas, sendo elas: 1. Quais as principais dimensões de segurança da informação ao nível organizacional? 2. Quais as principais categorias de segurança da informação ao nível organizacional? 3. Quais os principais controlos de segurança da informação a implementar numa organização militar? 4. Quais os requisitos funcionais necessários a implementar numa base de dados de controlos de segurança da informação a implementar numa organização militar? Para responder a estas questões de investigação, este trabalho assenta numa investigação aplicada, com o objetivo de desenvolver uma aplicação prática para os conhecimentos adquiridos, materializando-se assim numa base de dados. Ainda, quanto ao objetivo da investigação, este é descritivo, explicativo e exploratório, uma vez que, tem o objetivo de descrever as principais dimensões, categorias e controlos da segurança da informação, assim como o objetivo de explicar quais são os requisitos funcionais necessários a implementar numa base de dados de controlos de segurança da informação. Por último, tem ainda o objetivo de efetuar um estudo exploratório, comprovando a eficácia da base de dados. Esta investigação assenta no método indutivo, partindo de premissas particulares para chegar a conclusões gerais, isto é, a partir de análise de documentos e de inquéritos por entrevista, identificar-se-ão quais são os requisitos funcionais necessários a implementar, generalizando para todas as Unidades, Estabelecimentos ou Órgãos militares do Exército Português. No que corresponde ao método de procedimentos, usar-se-á o método comparativo, com vista a identificar qual é a norma internacional de gestão de segurança de informação mais indicada a registar na base de dados. Por último, como referido anteriormente, no que concerne às técnicas de investigação, será usado o inquérito por entrevista, identificando os requisitos necessários a implementar, e a análise de documentos, identificando as principais dimensões, categoriasou controlos necessários a implementar numa base de dados de controlos de segurança da informação. Posto isto, numa primeira fase da investigação, através da análise de documentos, percecionam-se as principais dimensões, categorias e controlos de segurança da informação necessários a aplicar nas Unidades, Estabelecimentos ou Órgãos militares do Exército Português, por forma a contribuir para o sucesso na gestão da segurança da informação militar. Ainda, através de entrevistas a especialistas da área de segurança da informação e dos Sistemas de Informação nas unidades militares, identificar-se-ão quais os requisitos funcionais necessários a implementar numa base de dados de controlos de segurança da informação a implementar numa organização militar. Por último, numa segunda fase, através do modelo de desenvolvimento de software em cascata revisto, pretende-se desenvolver uma base de dados relacional, em Microsoft Access, de controlos de segurança da Informação a fim de implementar em Unidades, Estabelecimentos ou Órgãos militares do Exército Português. Posteriormente, após o desenvolvimento da base de dados, pretende-se efetuar um estudo exploratório com vista a validar a mesma, de modo a comprovar se esta responde às necessidades para a qual foi desenvolvida.

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Tese (doutorado)—Universidade de Brasília, Centro de Desenvolvimento Sustentável, 2015.

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Aim: To present the qualitative findings from a study on the development of scheme(s) to give evidence of maintenance of professional competence for nurses and midwives. Background: Key issues in maintenance of professional competence include notions of self- assessment, verification of engagement and practice hours, provision of an evidential record, the role of the employer and articulation of possible consequences for non-adherence with the requirements. Schemes to demonstrate the maintenance of professional competence have application to nurses, midwives and regulatory bodies and healthcare employers worldwide. Design: A mixed methods approach was used. This included an online survey of nurses and midwives and focus groups with nurses and midwives and other key stakeholders. The qualitative data are reported in this study. Methods: Focus groups were conducted among a purposive sample of nurses, midwives and key stakeholders from January–May 2015. A total of 13 focus groups with 91 participants contributed to the study. Findings: Four major themes were identified: Definitions and Characteristics of Competence; Continuing Professional Development and Demonstrating Competence; Assessment of Competence; The Nursing and Midwifery Board of Ireland and employers as regulators and enablers of maintaining professional competence. Conclusion: Competence incorporates knowledge, skills, attitudes, professionalism, application of evidence and translating learning into practice. It is specific to the nurse's/midwife's role, organizational needs, patient's needs and the individual nurse's/midwife's learning needs. Competencies develop over time and change as nurses and midwives work in different practice areas. Thus, role-specific competence is linked to recent engagement in practice.

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Maintenance of transport infrastructure assets is widely advocated as the key in minimizing current and future costs of the transportation network. While effective maintenance decisions are often a result of engineering skills and practical knowledge, efficient decisions must also account for the net result over an asset's life-cycle. One essential aspect in the long term perspective of transport infrastructure maintenance is to proactively estimate maintenance needs. In dealing with immediate maintenance actions, support tools that can prioritize potential maintenance candidates are important to obtain an efficient maintenance strategy. This dissertation consists of five individual research papers presenting a microdata analysis approach to transport infrastructure maintenance. Microdata analysis is a multidisciplinary field in which large quantities of data is collected, analyzed, and interpreted to improve decision-making. Increased access to transport infrastructure data enables a deeper understanding of causal effects and a possibility to make predictions of future outcomes. The microdata analysis approach covers the complete process from data collection to actual decisions and is therefore well suited for the task of improving efficiency in transport infrastructure maintenance. Statistical modeling was the selected analysis method in this dissertation and provided solutions to the different problems presented in each of the five papers. In Paper I, a time-to-event model was used to estimate remaining road pavement lifetimes in Sweden. In Paper II, an extension of the model in Paper I assessed the impact of latent variables on road lifetimes; displaying the sections in a road network that are weaker due to e.g. subsoil conditions or undetected heavy traffic. The study in Paper III incorporated a probabilistic parametric distribution as a representation of road lifetimes into an equation for the marginal cost of road wear. Differentiated road wear marginal costs for heavy and light vehicles are an important information basis for decisions regarding vehicle miles traveled (VMT) taxation policies. In Paper IV, a distribution based clustering method was used to distinguish between road segments that are deteriorating and road segments that have a stationary road condition. Within railway networks, temporary speed restrictions are often imposed because of maintenance and must be addressed in order to keep punctuality. The study in Paper V evaluated the empirical effect on running time of speed restrictions on a Norwegian railway line using a generalized linear mixed model.

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Les applications Web en général ont connu d’importantes évolutions technologiques au cours des deux dernières décennies et avec elles les habitudes et les attentes de la génération de femmes et d’hommes dite numérique. Paradoxalement à ces bouleversements technologiques et comportementaux, les logiciels d’enseignement et d’apprentissage (LEA) n’ont pas tout à fait suivi la même courbe d’évolution technologique. En effet, leur modèle de conception est demeuré si statique que leur utilité pédagogique est remise en cause par les experts en pédagogie selon lesquels les LEA actuels ne tiennent pas suffisamment compte des aspects théoriques pédagogiques. Mais comment améliorer la prise en compte de ces aspects dans le processus de conception des LEA? Plusieurs approches permettent de concevoir des LEA robustes. Cependant, un intérêt particulier existe pour l’utilisation du concept patron dans ce processus de conception tant par les experts en pédagogie que par les experts en génie logiciel. En effet, ce concept permet de capitaliser l’expérience des experts et permet aussi de simplifier de belle manière le processus de conception et de ce fait son coût. Une comparaison des travaux utilisant des patrons pour concevoir des LEA a montré qu’il n’existe pas de cadre de synergie entre les différents acteurs de l’équipe de conception, les experts en pédagogie d’un côté et les experts en génie logiciel de l’autre. De plus, les cycles de vie proposés dans ces travaux ne sont pas complets, ni rigoureusement décrits afin de permettre de développer des LEA efficients. Enfin, les travaux comparés ne montrent pas comment faire coexister les exigences pédagogiques avec les exigences logicielles. Le concept patron peut-il aider à construire des LEA robustes satisfaisant aux exigences pédagogiques ? Comme solution, cette thèse propose une approche de conception basée sur des patrons pour concevoir des LEA adaptés aux technologies du Web. Plus spécifiquement, l’approche méthodique proposée montre quelles doivent être les étapes séquentielles à prévoir pour concevoir un LEA répondant aux exigences pédagogiques. De plus, un répertoire est présenté et contient 110 patrons recensés et organisés en paquetages. Ces patrons peuvent être facilement retrouvés à l’aide du guide de recherche décrit pour être utilisés dans le processus de conception. L’approche de conception a été validée avec deux exemples d’application, permettant de conclure d’une part que l’approche de conception des LEA est réaliste et d’autre part que les patrons sont bien valides et fonctionnels. L’approche de conception de LEA proposée est originale et se démarque de celles que l’on trouve dans la littérature car elle est entièrement basée sur le concept patron. L’approche permet également de prendre en compte les exigences pédagogiques. Elle est générique car indépendante de toute plateforme logicielle ou matérielle. Toutefois, le processus de traduction des exigences pédagogiques n’est pas encore très intuitif, ni très linéaire. D’autres travaux doivent être réalisés pour compléter les résultats obtenus afin de pouvoir traduire en artéfacts exploitables par les ingénieurs logiciels les exigences pédagogiques les plus complexes et les plus abstraites. Pour la suite de cette thèse, une instanciation des patrons proposés serait intéressante ainsi que la définition d’un métamodèle basé sur des patrons qui pourrait permettre la spécification d’un langage de modélisation typique des LEA. L’ajout de patrons permettant d’ajouter une couche sémantique au niveau des LEA pourrait être envisagée. Cette couche sémantique permettra non seulement d’adapter les scénarios pédagogiques, mais aussi d’automatiser le processus d’adaptation au besoin d’un apprenant en particulier. Il peut être aussi envisagé la transformation des patrons proposés en ontologies pouvant permettre de faciliter l’évaluation des connaissances de l’apprenant, de lui communiquer des informations structurées et utiles pour son apprentissage et correspondant à son besoin d’apprentissage.

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Stroke stands for one of the most frequent causes of death, without distinguishing age or genders. Despite representing an expressive mortality fig-ure, the disease also causes long-term disabilities with a huge recovery time, which goes in parallel with costs. However, stroke and health diseases may also be prevented considering illness evidence. Therefore, the present work will start with the development of a decision support system to assess stroke risk, centered on a formal framework based on Logic Programming for knowledge rep-resentation and reasoning, complemented with a Case Based Reasoning (CBR) approach to computing. Indeed, and in order to target practically the CBR cycle, a normalization and an optimization phases were introduced, and clustering methods were used, then reducing the search space and enhancing the cases re-trieval one. On the other hand, and aiming at an improvement of the CBR theo-retical basis, the predicates` attributes were normalized to the interval 0…1, and the extensions of the predicates that match the universe of discourse were re-written, and set not only in terms of an evaluation of its Quality-of-Information (QoI), but also in terms of an assessment of a Degree-of-Confidence (DoC), a measure of one`s confidence that they fit into a given interval, taking into account their domains, i.e., each predicate attribute will be given in terms of a pair (QoI, DoC), a simple and elegant way to represent data or knowledge of the type incomplete, self-contradictory, or even unknown.