<p dir="ltr">The absence or limited availability of operational statistics at general aviation airports restricts airport managers and operators from assessing comprehensive operational data. The traditional manual compilation of operational statistics is labor-intensive and lacks the depth and accuracy to depict a holistic picture of a general aviation airport’s operations. This research developed a reliable and efficient approach to address the problem by providing a comprehensive and versatile flight status identification framework. </p><p dir="ltr">Leveraging the BlueSky flight simulation module, the research can generate a synthetic flight database to emulate real-world general aviation aircraft’s flight scenarios. Two neural network architectures, namely, an RNN-GAN network and a refined Seq2Seq network, were explored to examine their capability to reconstruct flight trajectories. The Seq2Seq network, which demonstrated better performance, was further employed to estimate the simulated aircraft’s different metrics, such as internal mechanical metrics and flight phase. Additionally, this research undertook an array of diverse tailored evaluation techniques to assess the efficacy of flight status predictions and conducted comparative analyses between various configurations. </p><p dir="ltr">Furthermore, the research concluded by discussing the future development of the framework, emphasizing its potential for generalization across various flight data applications and scenarios. The enhanced methodology for collecting operational statistics and the analysis tool will enable airport managers and regulators to better receive a comprehensive view of the airport’s operations, facilitating airport planning and development.</p>

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Submitted by Jacquelin Teresa Camperos Reyes (jtcamperos@hotmail.com) on 2018-02-27T00:46:53Z No. of bitstreams: 1 [Dissertação] Jacquelin Teresa Camperos Reyes.pdf: 2175519 bytes, checksum: 3dd6306fa263e044ba509d410d39cea4 (MD5) / Approved for entry into archive by Satie Tagara (satie@marilia.unesp.br) on 2018-02-27T14:17:55Z (GMT) No. of bitstreams: 1 camperosreyes_jt_me_mar.pdf: 2175519 bytes, checksum: 3dd6306fa263e044ba509d410d39cea4 (MD5) / Made available in DSpace on 2018-02-27T14:17:55Z (GMT). No. of bitstreams: 1 camperosreyes_jt_me_mar.pdf: 2175519 bytes, checksum: 3dd6306fa263e044ba509d410d39cea4 (MD5) Previous issue date: 2018-01-29 / Outra / Gerar valor para a sociedade a partir da abundância de dados governamentais tornou-se imperativo nas estratégias de disponibilização de dados que estão sendo publicados por meio de conjuntos de dados ou datasets. Os datasets, dados tabulados com certa estrutura, constituem um exemplo de reunião de bases de dados que pretendem obter sucesso erguendo-se como catálogos centrais do ponto de vista dos cidadãos, ampliando a visibilidade sobre e das ações da gestão pública. Atingir a estruturação desses recursos informacionais, de forma que auxilie na sua revalorização, é um dos desafios da Ciência da Informação. A questão de investigação é: Como está sendo abordada a aderência ao uso de metadados nas instruções entregues aos publicadores de dados em governos? O objetivo é descrever a aderência ao uso de metadados nos datasets de governos de países, tomando como base o contexto e o marco conceitual apresentados nas instruções para publicadores de dados, encontradas nos sites de dados abertos oficiais dos países analisados. Acredita-se que estudos como este podem fornecer elementos que atuem como subsídios para as estratégias governamentais, atendendo dimensões sociais a partir dos profissionais da informação. Trata-se de pesquisa descritiva, de natureza qualitativa, focada na observação crítica dos documentos que abordam o tratamento descritivo dos datasets governamentais. Utilizam-se como procedimentos a análise bibliográfica e documental, e a definição de estudos de caso nos países Colômbia, Brasil, Espanha e Portugal, abordando o volume de dados e informações mediante a técnica de análise de conteúdo. Percebe-se o esforço realizado pelos detentores dos documentos disponibilizados nos quatro países analisados pela ampla abordagem de conteúdo temático relacionado com o uso experimental dos metadados, dando assim maior importância ao aspecto prático em relação ao teórico, sem desconsiderar a relevância das explanações teóricas. Acredita-se na importância da criação e implementação de perfis de aplicação entre comunidades de países, como o caso do DCAT-AP, criado e recomendado pela comunidade europeia de nações e sugerido pelos sites de dados dos países estudados. Admitem-se inquietações referentes aos processos de publicação de dados de governo e suas relações com outros tópicos de interesse socioeconômico, tais como possíveis vínculos com indicadores de desenvolvimento em países e regiões, sob o prisma de pesquisas originadas a partir da Ciência da Informação. / Generating value to society from the abundance of government data, has become imperative in the strategies of data availability that are being published through datasets. The datasets, tabulated data with a certain structure, are an example of a meeting of databases that aim to be successful setting up as central catalogs from the point of view of the citizens, increasing the visibility on and of the actions of the public management. Accomplishing the structuring of these informational resources, so that this helps in their revaluation, is one of the challenges of Information Science. The research question is: How is the adherence to the use of metadata in the instructions given to data publishers in South American governments being addressed? The objective is to describe the adherence to the use of metadata in the datasets of governments of South American countries, based on the context and conceptual framework presented in the instructions for data publishers, found on the official open data sites of the analyzed countries. It is believed that studies such as this one can provide elements that act as subsidies for government strategies, addressing social dimensions deriving out of the information professionals. It is a descriptive research, of qualitative nature, focused on the critical observation of the documents that approach the descriptive treatment of the governmental datasets. Bibliographic and documentary analyses are used as methodological procedures, and the definition of case studies in the countries Colombia, Brazil, Spain and Portugal, addressing the volume of data and information through the technique of content analysis. The effort made by the holders of the documents available in the four analyzed countries by the broad thematic content related to the experimental use of the metadata is noticed, thus giving greater importance to the practical aspect in relation to the theoretical, without disregarding the relevance of the theoretical explanations. It is believed that creating and implementing application profiles among communities of countries, such as the DCAT-AP, created and recommended by the European community of nations and suggested by the data sites of the analyzed countries, is important. Concerns referent to the publication processes of government data and their relations with other topics of socio-economic interest are admitted, such as possible linkages with indicators of development in countries and regions, under the prism of research originated from the Information Science.

The neural net computer simulations which will be presented here are based on the acceptance of a set of assumptions that for the last twenty years have been expressed in the fields of information processing, neurophysiology and cognitive sciences. First of all, neural networks and their dynamical behaviors in terms of attractors is the natural way adopted by the brain to encode information. Any information item to be stored in the neural net should be coded in some way or another in one of the dynamical attractors of the brain and retrieved by stimulating the net so as to trap its dynamics in the desired item's basin of attraction. The second view shared by neural net researchers is to base the learning of the synaptic matrix on a local Hebbian mechanism. The last assumption is the presence of chaos and the benefit gained by its presence. Chaos, although very simply produced, inherently possesses an infinite amount of cyclic regimes that can be exploited for coding information. Moreover, the network randomly wanders around these unstable regimes in a spontaneous way, thus rapidly proposing alternative responses to external stimuli and being able to easily switch from one of these potential attractors to another in response to any coming stimulus.<p><p>In this thesis, it is shown experimentally that the more information is to be stored in robust cyclic attractors, the more chaos appears as a regime in the back, erratically itinerating among brief appearances of these attractors. Chaos does not appear to be the cause but the consequence of the learning. However, it appears as an helpful consequence that widens the net's encoding capacity. To learn the information to be stored, an unsupervised Hebbian learning algorithm is introduced. By leaving the semantics of the attractors to be associated with the feeding data unprescribed, promising results have been obtained in term of storing capacity. / Doctorat en sciences appliquées / info:eu-repo/semantics/nonPublished

[...] Le sujet de cette thèse intervient dans le cadre du projet DEFI et vise à caractériser la notion d'Efficience Inventive en Conception afin d'élaborer des moyens de mesure de cette dernière. L’objectif étant à terme d’aboutir à l'adoption d’indicateurs aidant les entreprises à situer leurs capacités inventives en R&D. Par la suite, les entreprises ayant adopté ces indicateurs pourront, le cas échéant, entamer des actions d'évolution de leurs pratiques afin que la valeur de ces indicateurs évolue dans le sens recherché. Aux vues de la diversité des typologies d’entreprises et l’ampleur d’un tel sujet, notre recherche est focalisée sur les projets de conception de produits au sein des départements R&D de l’industrie automobile. Afin de mener cette recherche et définir les indicateurs de l’efficience inventive, nous avons étudié dans un premier temps les critères inhérents à la conception inventive. Selon nos travaux, la mesure de la performance inventive est corrélée à l’efficience inventive et doit considérer son efficacité par des caractéristiques ciblées, l’étude des connaissances impliquées et des ressources consommées. Notre mesure de l’efficience inventive est aussi basée sur l’analyse des flux des connaissances en jeu tout au long du processus d’innovation technologique, et particulièrement dans la phase de pré-développement. Elle analyse la relation entre ce qui est reçu et ce qui est appliqué ou consommé par rapport à l’inventivité. La mesure de l’inventivité est alors basée sur l’évaluation de l’idéalité, la nouveauté et l’utilité de ce qui sort du processus de conception de produit. L’ensemble des méthodes d’évaluation développées dans ce travail pour chaque critère d’inventivité, et l’efficience inventive, sont intégrés dans un système d’évaluation concret nommé IDPMS (Inventive Design Performance Measurement System) destiné à aider les directeurs des projets de la conception de produit et R&D à observer la performance inventive des équipes projet, et tenter d’améliorer les activités inventives. Donc, ce travail se catégorise dans le domain des sciences de l’ingénieur. Depuis plus de deux décennies, notre laboratoire (le LGéCo) travaille à la construction, d’abord théorique, puis déclinée en méthodes et outils, de nouvelles approches destinées à accompagner les mutations industrielles de l’ère de la qualité vers l’ère de l’innovation. A cet égard, cette thèse fournira un chaînon manquant : celui qui concerne l’évaluation, et la mesure de ce qui caractérise l’amont de l'innovation afin d’aider les entreprises à entrer, par rapport à ces dernières, en logique de performance. / [...] This thesis was defined in the DEFI project to characterize the notion of efficiency in Inventive Design, and develop the metrics of inventive-design. The objective of this proposal is to define inventive performance indicators to enhance the creative capacity in the automotive industry. The research is focused on the NPD projects of R&D department, which are known as the responsible of technological evolutions. In this respect, the main elements of design performance, and the main criteria of inventiveness are studied and merged together. The inventive performance of a R&D team is concerned with the efficiency of their activities to create inventive designs when they apply existing knowledge, and/or use creative resources. This analyzes the relationship between what is received and what is applied or consumed to achieve higher inventiveness degree. The measures of inventiveness are based on the evaluation of novelty, resourcefulness, and usefulness of what comes out from design activities. All the evaluation methods developed in this work are integrated into a concrete system as IDPMS (Inventive Design Performance Measurement System), and an initial version of the IDPMS application is developed, by which R&D and project managers can observe the inventive performance of their NPD projects. So this work is categorized in Engineering Science for specifying performance indicators of inventive design activities. In recent years, our laboratory (LGeCo) focused on developing theoretical methods, then appropriate tools to accompany the industrial changes from the era of quality to the era of innovation. In this regard, this thesis provides the missing link of this effort by evaluating the main characteristics of inventions in engineering level to help companies enter into a logic performance along their innovation projects.

<p>Course-based Undergraduate Research Experiences (CUREs) have been described in a range of educational contexts. Although various learning objectives, termed anticipated learning outcomes (ALOs) in this project, have been proposed, processes for identifying them may not be rigorous or well-documented, which can lead to inappropriate assessment and speculation about what students actually learn from CUREs. Additionally, evaluation of CUREs has primarily relied on student and instructor perception data rather than more reliable measures of learning.This dissertation investigated a novel biochemistry laboratory curriculum for a Course-based Undergraduate Research Experience (CURE) known as the Biochemistry Authentic Scientific Inquiry Lab (BASIL). Students participating in this CURE use a combination of computational and biochemical wet-lab techniques to elucidate the function of proteins of known structure but unknown function. The goal of the project was to evaluate the efficacy of the BASIL CURE curriculum for developing students’ research abilities across implementations. Towards achieving this goal, we addressed the following four research questions (RQs): <b>RQ1</b>) How can ALOs be rigorously identified for the BASIL CURE; <b>RQ2</b>) How can the identified ALOs be used to develop a matrix that characterizes the BASIL CURE; <b>RQ3</b>) What are students’ perceptions of their knowledge, confidence and competence regarding their abilities to perform the top-rated ALOs for this CURE; <b>RQ4</b>) What are appropriate assessments for student achievement of the identified ALOs and what is the nature of student learning, and related difficulties, developed by students during the BASIL CURE? To address these RQs, this project focused on the development and use of qualitative and quantitative methods guided by constructivism and situated cognition theoretical frameworks. Data was collected using a range of instruments including, content analysis, Qualtrics surveys, open-ended questions and interviews, in order to identify ALOs and to determine student learning for the BASIL CURE. Analysis of the qualitative data was through inductive coding guided by the concept-reasoning-mode (CRM) model and the assessment triangle, while analysis of quantitative data was done by using standard statistical techniques (e.g. conducting a parried t-test and effect size). The results led to the development of a novel method for identifying ALOs, namely a process for identifying course-based undergraduate research abilities (PICURA; RQ1; Irby, Pelaez, & Anderson 2018b). Application of PICURA to the BASIL CURE resulted in the identification and rating by instructors of a wide range of ALOs, termed course-based undergraduate research abilities (CURAs), which were formulated into a matrix (RQs 2; Irby, Pelaez, & Anderson, 2018a,). The matrix was, in turn, used to characterize the BASIL CURE and to inform the design of student assessments aimed at evaluating student development of the identified CURAs (RQs 4; Irby, Pelaez, & Anderson, 2018a). Preliminary findings from implementation of the open-ended assessments in a small case study of students, revealed a range of student competencies for selected top-rated CURAs as well as evidence for student difficulties (RQ4). In this way we were able to confirm that students are developing some of the ALOs as actual learning outcomes which we term VLOs or verified learning outcomes. In addition, a participant perception indicator (PPI) survey was used to gauge students’ perceptions of their gains in knowledge, experience, and confidence during the BASIL CURE and, therefore, to inform which CURAs should be specifically targeted for assessment in specific BASIL implementations (RQ3;). These results indicate that, across implementations of the CURE, students perceived significant gains with large effect sizes in their knowledge, experience, and confidence for items on the PPI survey (RQ3;). In our view, the results of this dissertation will make important contributions to the CURE literature, as well as to the biochemistry education and assessment literature in general. More specifically, it will significantly improve understanding of the nature of student learning from CUREs and how to identify ALOs and design assessments that reveal what students actually learn from such CUREs - an area where there has been a dearth of available knowledge in the past. The outcomes of this dissertation could also help instructors and administrators identify and align assessments with the actual features of a CURE (or courses in general), use the identified CURAs to ensure the material fits departmental or university needs, and evaluate the benefits of students participating in these innovative curricula. Future research will focus on expanding the development and validation of assessments so that practitioners can better evaluate the efficacy of their CUREs for developing the research competencies of their undergraduate students and continue to render improvements to their curricula.</p>