489 resultados para Neighborhoods
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Subspaces and manifolds are two powerful models for high dimensional signals. Subspaces model linear correlation and are a good fit to signals generated by physical systems, such as frontal images of human faces and multiple sources impinging at an antenna array. Manifolds model sources that are not linearly correlated, but where signals are determined by a small number of parameters. Examples are images of human faces under different poses or expressions, and handwritten digits with varying styles. However, there will always be some degree of model mismatch between the subspace or manifold model and the true statistics of the source. This dissertation exploits subspace and manifold models as prior information in various signal processing and machine learning tasks.
A near-low-rank Gaussian mixture model measures proximity to a union of linear or affine subspaces. This simple model can effectively capture the signal distribution when each class is near a subspace. This dissertation studies how the pairwise geometry between these subspaces affects classification performance. When model mismatch is vanishingly small, the probability of misclassification is determined by the product of the sines of the principal angles between subspaces. When the model mismatch is more significant, the probability of misclassification is determined by the sum of the squares of the sines of the principal angles. Reliability of classification is derived in terms of the distribution of signal energy across principal vectors. Larger principal angles lead to smaller classification error, motivating a linear transform that optimizes principal angles. This linear transformation, termed TRAIT, also preserves some specific features in each class, being complementary to a recently developed Low Rank Transform (LRT). Moreover, when the model mismatch is more significant, TRAIT shows superior performance compared to LRT.
The manifold model enforces a constraint on the freedom of data variation. Learning features that are robust to data variation is very important, especially when the size of the training set is small. A learning machine with large numbers of parameters, e.g., deep neural network, can well describe a very complicated data distribution. However, it is also more likely to be sensitive to small perturbations of the data, and to suffer from suffer from degraded performance when generalizing to unseen (test) data.
From the perspective of complexity of function classes, such a learning machine has a huge capacity (complexity), which tends to overfit. The manifold model provides us with a way of regularizing the learning machine, so as to reduce the generalization error, therefore mitigate overfiting. Two different overfiting-preventing approaches are proposed, one from the perspective of data variation, the other from capacity/complexity control. In the first approach, the learning machine is encouraged to make decisions that vary smoothly for data points in local neighborhoods on the manifold. In the second approach, a graph adjacency matrix is derived for the manifold, and the learned features are encouraged to be aligned with the principal components of this adjacency matrix. Experimental results on benchmark datasets are demonstrated, showing an obvious advantage of the proposed approaches when the training set is small.
Stochastic optimization makes it possible to track a slowly varying subspace underlying streaming data. By approximating local neighborhoods using affine subspaces, a slowly varying manifold can be efficiently tracked as well, even with corrupted and noisy data. The more the local neighborhoods, the better the approximation, but the higher the computational complexity. A multiscale approximation scheme is proposed, where the local approximating subspaces are organized in a tree structure. Splitting and merging of the tree nodes then allows efficient control of the number of neighbourhoods. Deviation (of each datum) from the learned model is estimated, yielding a series of statistics for anomaly detection. This framework extends the classical {\em changepoint detection} technique, which only works for one dimensional signals. Simulations and experiments highlight the robustness and efficacy of the proposed approach in detecting an abrupt change in an otherwise slowly varying low-dimensional manifold.
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Due to their informality, the favelas of Rio de Janeiro are in a precarious position. Though the informal neighborhoods have long served as sites of affordable housing for Rio’s poorest residents, changes within in the city related to public security, mega-events, real estate speculation, and urban revitalization jeopardize their permanence. As one possible solution, this study, conducted for the client Catalytic Communities, investigated collective titling in favelas modeled after quilombos, territories recognized and titled by Brazilian federal law as patrimonies of black cultural traditions.
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Protecting public health is the most legitimate use of zoning, and yet there is minimal progress in applying it to the obesity problem. Zoning could potentially be used to address both unhealthy and healthy food retailers, but lack of evidence regarding the impact of zoning and public opinion on zoning changes are barriers to implementing zoning restrictions on fast food on a larger scale. My dissertation addresses these gaps in our understanding of health zoning as a policy option for altering built, food environments.
Chapter 1 examines the relationship between food swamps and obesity and whether spatial mapping might be useful in identifying priority geographic areas for zoning interventions. I employ an instrumental variables (IV) strategy to correct for the endogeneity problems associated with food environments, namely that individuals may self-select into certain neighborhoods and may consider food availability in their decision process. I utilize highway exits as a source of exogenous variation .Using secondary data from the USDA Food Environment Atlas, ordinary least squares (OLS) and IV regression models were employed to analyze cross-sectional associations between local food environments and the prevalence of obesity. I find even after controlling for food desert effects, food swamps have a positive, statistically significant effect on adult obesity rates.
Chapter 2 applies theories of message framing and prospect theory to the emerging discussion around health zoning policies targeting food environments and to explore public opinion toward a list of potential zoning restrictions on fast-food restaurants (beyond moratoriums on new establishments). In order to explore causality, I employ an online survey experiment manipulating exposure to vignettes with different message frames about health zoning restrictions with two national samples of adult Americans age 18 and over (N1=2,768 and N2=3,236). The second sample oversamples Black Americans (N=1,000) and individuals with high school as their highest level of education. Respondents were randomly assigned to one of six conditions where they were primed with different message frames about the benefits of zoning restrictions on fast food retailers. Participants were then asked to indicate their support for six zoning policies on a Likert scale. Subjects also answered questions about their food store access, eating behaviors, health status and perceptions of food stores by type.
I find that a message frame about Nutrition and increasing Equity in the food system was particularly effective at increasing support for health zoning policies targeting fast food outlets across policy categories (Conditional, Youth-related, Performance and Incentive) and across racial groups. This finding is consistent with an influential environmental justice scholar’s description of “injustice frames” as effective in mobilizing supporters around environmental issues (Taylor 2000). I extend this rationale to food environment obesity prevention efforts and identify Nutrition combined with Equity frames as an arguably universal campaign strategy for bolstering public support of zoning restrictions on fast food retailers.
Bridging my findings from both Chapters 1 and 2, using food swamps as a spatial metaphor may work to identify priority areas for policy intervention, but only if there is an equitable distribution of resources and mobilization efforts to improve consumer food environments. If the structural forces which ration access to land-use planning persist (arguably including the media as gatekeepers to information and producers of message frames) disparities in obesity are likely to widen.
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The lived environment is the arena where our cognitive skills, preferences, and attitudes come together to determine our ability to interact with the world. The mechanisms through which lived environments can benefit cognitive health in older age are yet to be fully understood. The existing literature suggests that environments which are perceived as stimulating, usable and aesthetically appealing can improve or facilitate cognitive performance both in young and older age. Importantly, optimal stimulation for cognition seems to depend on experiencing sufficiently stimulating environments while not too challenging. Environmental complexity is an important contributor to determining whether an environment provides such an optimal stimulation. The present paper reviews a selection of studies which have explored complexity in relation to perceptual load, environmental preference and perceived usability to propose a framework which explores direct and indirect environmental influences on cognition, and to understand these influences in relation to aging processes. We identify ways to define complexity at different environmental scales, going from micro low-level perceptual features of scenes, to design qualities of proximal environments (e.g., streets, neighborhoods), to broad geographical areas (i.e., natural vs. urban environments). We propose that studying complexity at these different scales will provide new insight into the design of cognitive-friendly environments.
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Objectif : Examiner la relation entre l’accès aux ressources alimentaires et le degré de l’insécurité alimentaire du ménage parmi les nouveaux utilisateurs des organismes communautaires d’intervention en sécurité alimentaire de Montréal. Méthode : Étude observationnelle transversale. Elle consiste en une analyse secondaire de données (n=785) qui proviennent du premier temps de mesure de l’enquête sur les effets des interventions en sécurité alimentaire à Montréal menée entre 2011 et 2012. La variable dépendante a été l’insécurité alimentaire. Les variables indépendantes ont été le mode de transport utilisé pour transporter les aliments, l’emplacement de l’épicerie la plus fréquentée par le participant, la distance entre l’organisme communautaire fréquenté par le participant et son domicile, la proximité de l’épicerie la plus fréquentée, la satisfaction quant à l’acceptabilité et le caractère abordable des aliments dans l’épicerie la plus fréquentée, et les difficultés d’accès aux aliments. Des régressions logistiques furent effectuées afin d’évaluer la relation entre les variables indépendantes et le degré de l’insécurité alimentaire, en utilisant l’insécurité sévère comme catégorie de référence. Résultats : Nos données suggèrent que la sévérité de l’insécurité alimentaire est associée à la difficulté d’accès aux aliments à cause de la cherté des aliments (pour la sécurité alimentaire, OR=0.13; CI : 0.07-0.25 et pour l’insécurité alimentaire modérée, OR=0.42; CI : 0.28-0.63), au fait de faire l’épicerie à l’extérieur du quartier ou de faire rarement l’épicerie (pour l’insécurité alimentaire modérée, OR=0.50, CI : 0.30-0.84), au fait d’avoir accès au transport collectif (pour l’insécurité alimentaire modérée, OR=1.73; CI : 1.09-2.73), au fait de résider à une distance moyenne (soit entre 1000 et 2000 mètres) d’un organisme communautaire en sécurité alimentaire (pour l’insécurité alimentaire modérée, OR=1.83; CI : 1.14-2.92), et à la difficulté d’accès aux aliments à cause de contraintes de transport (pour la sécurité alimentaire, OR=0.18, CI : 0.06-0.52). Conclusion : L’accès aux ressources alimentaires est associé au degré de l’insécurité alimentaire des nouveaux ménages participant aux interventions en sécurité alimentaire à Montréal.
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Background and Objectives: Mobility limitations are a prevalent issue in older adult populations, and an important determinant of disability and mortality. Neighborhood conditions are key determinants of mobility and perception of safety may be one such determinant. Women have more mobility limitations than men, a phenomenon known as the gender mobility gap. The objective of this work was to validate a measure of perception of safety, examine the relationship between neighborhood perception of safety and mobility limitations in seniors, and explore if these effects vary by gender. Methods: This study was cross-sectional, using questionnaire data collected from community-dwelling older adults from four sites in Canada, Colombia, and Brazil. The exposure variable was the neighborhood aggregated Perception of Safety (PoS) scale, derived from the Physical and Social Disorder (PSD) scale by Sampson and Raudenbush. Its construct validity was verified using factor analyses and correlation with similar measures. The Mobility Assessment Tool – short form (MAT-sf), a video-based measure validated cross-culturally in the studied populations, was used to assess mobility limitations. Based on theoretical models, covariates were included in the analysis, both at the neighborhood level (SES, social capital, and built environment) and the individual level (age, gender, education, income, chronic illnesses, depression, cognitive function, BMI, and social participation). Multilevel modeling was used in order to account for neighborhood clustering. Gender specific analyses were carried out. SAS and M-plus were used in this study. Results: PoS was validated across all sites. It loaded in a single factor, after excluding two items, with a Cronbach α value of approximately 0.86. Mobility limitations were present in 22.08% of the sample, 16.32% among men and 27.41% among women. Neighborhood perception of safety was significantly associated with mobility limitations when controlling for all covariates, with an OR of 0.84 (CI 95%: 0.73-0.96), indicating lower odds of having mobility limitations as neighborhood perception of safety improves. Gender did not affect this relationship despite women being more likely to have mobility limitations and live in neighborhoods with poor perception of safety. Conclusion: Neighborhood perception of safety affected the prevalence of mobility limitations in older adults in the studied population.
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Las características urbanísticas de las expansiones urbanas postindustriales desarrolladas en las últimas décadas en numerosas ciudades españolas presentan diferencias notables con las de barrios centrales y pericentrales más compactos preexistentes. Con el fin de estudiar cómo son percibidas por los ciudadanos de Vitoria-Gasteiz dichas diferencias urbanísticas, se realizaron 250 encuestas a residentes en los barrios compactos de la ciudad sobre sus preferencias entre el paisaje urbano de su barrio y el de los barrios postindustriales. Se observó que la gran mayoría de los encuestados prefirieron su compacto barrio en aspectos de sociabilidad, accesibilidad a servicios y bienestar global. Los resultados obtenidos se contrastaron con los de un estudio previo en el que una encuesta similar fue realizada a residentes en un barrio postindustrial. Se discuten las implicaciones de los resultados para desarrollar una práctica urbanística más sostenible y que integre la percepción de los usuarios de la ciudad.
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En el presente artículo analizamos los desplazamientos de cultos indígenas hispanos desde distintas áreas de la Península Ibérica hacia los principales lugares de inmigración en Hispania: las áreas mineras y las ciudades. Proponemos que estos grupos de emigrantes rendían culto en su nueva residencia a las deidades que veneraban en sus regiones de procedencia como un medio de preservar su cohesión social y su identidad cultural. La dureza de la vida laboral en las áreas mineras reforzaba la necesidad de fortalecer los lazos culturales.
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[Excerpt] In March 2016, second-year students in the Baker Program in Real Estate embarked on a trip to Vancouver, British Columbia to meet with the people and companies that have played a role in shaping Vancouver into the celebrated international city it is today. Starting with a bold plan begun in the 1980s to connect the city to its waterfront, Vancouver has spent the following decades on a transformation spree that is the envy of urbanists the world over. Throughout a five-day itinerary, students visited the projects and neighborhoods that epitomize this transformation.
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Thesis (Master's)--University of Washington, 2016-06
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Cette thèse se penche sur la rationalité sécuritaire qui organise les villes de Douala et Yaoundé. En effet, l’insécurité urbaine devient une question très préoccupante, encore plus dans les villes des pays du Sud notamment les villes camerounaises où la recrudescence de la criminalité et de la violence ont donné lieu à des initiatives de sécurisation de la part de l’État et de la population. Sur le plan de la théorie, plusieurs approches nous permettent de nous projeter dans l’environnement sécuritaire des villes à l’étude. Nous considérons les villes de Douala et Yaoundé comme des lieux de production culturelle où se construisent à la faveur des migrations, à partir de diverses cultures et de comportements issus des villages d’origine, des formes d’identités hybrides et des territoires urbains diversifiés. Cela donne donc à réfléchir sur les modes de gouvernance locale, à l’échelle des quartiers, dans le but de comprendre les modalités d’encadrement de cette dynamique culturelle urbaine. Dans le même ordre d’idées, la gouvernance locale fait appel aux acteurs, dans leurs rôles et leurs logiques. Ces logiques s’observent dans leurs dimensions cognitives et leurs rapports avec l’espace. Les dimensions cognitives évoquent les perceptions, le vécu et les représentations subjectives qui sont associées à l’insécurité. Ainsi, le sentiment d’insécurité, la peur, la marginalisation, la violence et la criminalisation sont des phénomènes qui laissent entrevoir des populations défavorisées, victimes d’insécurité. C’est à côté de ces dernières que se manifestent les logiques d’acteurs associées à l’espace, qui ouvrent l’observation sur l’informalité et la ségrégation non seulement comme instruments de contrôle de l’espace urbain, mais également comme cadres de production d’espaces sécurisés. L’informalité et la ségrégation sont aussi favorables au développement des identités, à la construction d’utopies, ces visions mélioratives qui motivent et transforment les acteurs. Ce sont ces logiques d’acteurs dans leurs rapports avec l’espace qui justifient les initiatives de sécurisation. Finalement, c’est dans cette dynamique de transformation que les acteurs entrent en processus de subjectivation pour se produire comme sujets. Sur le plan méthodologique, cette thèse repose sur une ethnographie critique et comparative de la sécurité et sur l’approche de l’action sociale, qui invite à s’attarder aux interactions sociales, pour rendre compte de la rationalité sécuritaire. Étudier la sécurité requiert de s’attarder à l’échelle des quartiers, objets principaux de la sécurisation et espaces d’expression de l’informalité. Les quartiers sont encadrés par les chefferies urbaines, dont les systèmes de gestion constituent la gouvernance locale. Face à la question de la sécurité, cette gouvernance se prononce entre autres en fonction de son identité, de sa culture et de ses représentations. Elle côtoie les logiques étatiques dont les techniques et les stratégies d’organisation matérialisent les politiques de sécurité. Douala et Yaoundé présentent des approches populaires de sécurisation qui diffèrent sur le plan de l’organisation locale des quartiers et du tempérament populaire. Elles se rapprochent par les logiques d’acteurs et la motivation que ces derniers ont à se produire en sujets. La recherche a permis de constater qu’une forme de rationalité régit l’ensemble des dynamiques et des stratégies de production de la sécurité qui ont cours à Douala et Yaoundé. Cette rationalité passe par une pluralité de logiques de sécurité, elles-mêmes tributaires de nombreux phénomènes qui contribuent à la production de l’insécurité, mais aussi à celle de la sécurité. En effet, les migrations de la campagne vers la ville, l’informalité, la ségrégation et la présence de gangs locaux sont des réalités urbaines qui donnent une forme particulière à l’insécurité, mais invitent également à une réadaptation des techniques et des groupes d’acteurs impliqués dans la production de la sécurité. Il ressort que la rationalité sécuritaire, cette intelligence de gouvernement qui s’organise dans les dispositifs de l’offre publique de sécurité, suscite aussi dans les procédés des acteurs populaires, des techniques d’identification aux forces de l’ordre. Dans son processus, elle aboutit à la production de sujets sécurisés et de sécurité. En saisissant les productions humaines comme des activités innovantes, nous comprenons que la sécurisation procède par rapprochement entre les forces de l’ordre et les populations, par la mise en oeuvre de mécanismes mis en place pour répondre à la menace mais aussi par la « confiscation de la sécurité » pour les besoins d’une élite. Ensuite, elle représente une instance de subjectivation où l’innovation se matérialise et où les acteurs se réalisent, créent la sécurité et recréent la ville. Finalement, cette thèse révèle une pluralité de logiques de sécurité construites autour d’une même rationalité sécuritaire.
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Thesis (Master's)--University of Washington, 2016-06
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The celebration of the Cruz of May – based on a fact for which tradition and the Legendi di Sancti Vulgari Storiado (Jacopo da Varazze, circa 1264) were possibly more relevant than history itself and extended by the ecclesiastical authority as a means of increasing faith – was accepted by people and was transformed into a social feast and an expression for local or social identity, which lead to peculiar rivalries amongst neighborhoods or streets. They had the aim to hold the best Cruz, leaving aside the feasts initial religious character. If the cross was, until the death of Christ, an instrument of martyrdom holding negative connotations (death, infamy, barbarism, etc.), it eventually transformed into a symbol of Christianity, a sign of triumph and everything related to Christ, and subsequently into a source of celebration and social festivity.
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This paper studies modern houses built in the neighborhoods of Cabo Branco, Tambaú and Manaíra by the seafront in Joao Pessoa, built between 1960 and 1974. We start from the already widespread notion that Brazilian Modern Architecture was inspired by foreign ways, mainly European but also American here recast, adapted, often innovating repertoire and ideas received (Y. BRUAND, 2005; H. SEGAWA, 2002; C. E. COMAS, 2002; C. E. COMAS, 2002; M. M. ACAYABA e S. FICHER, 1982; M. B. C. ARANHA, 2008; F. C. L. LARA, 2001; R. V. ZEIN, 2005; L. E. AMORIM, 1999, C. V. STINCO, 2010). With this look, after a field study, we collected 61 specimens in the collection of the Central Archive of João Pessoa City Hall, in order to identify which reformulations, adaptations or innovations would exist in modern houses built along the coast in João Pessoa. As we try to analyze the houses by what the bibliography had suggested (G. C. ARGAN, 1992; L. CORBUSIER, 2002; C.E.D. e M. ADRIÀ, 2007; K. FRAMPTON, 1997; H. H. HITCHCOCK, 1976; L. BENEVOLO, 2004; R. DE FUSCO, 1992, N . PEVSNER, 2002; M. RAGON, 1986; B. RISEBERO, 1982; E. ROBBINS, 1997; W. J. R. CURTIS, 1982; V. SCULLY, 2003; B. ZEVI, 1984; D. DUNST, 1999; A. COLQUHOUN, 2002; R. WESTON, 2005; A. IÑAKI, 2006; J. PETER, 1994) the starting idea seemed to us not sufficiently developed. So we decided, first, to undertake a literature review comparing speech and image of modern houses most often cited by international and national literature, following a script freely inspired the Vitruvian triad: the functional and spatial (sectorization, guidance, spatiality, movement); constructive aspects (structural elements, modulation, deck, sealing), and aesthetic aspects (composition, apertures, ornaments) (Cap.1), then cast a look under this same route in 61 specimens obtained initially, trying to verify any specificities they would have (Cap.2). Failing to deepen the analysis of all these examples, we chose 10 projects which were redesigned and described in more detail to which we supplement with the aspects of place - location / lot location, access, axiality. (E. C. MAHFUZ, 2002; J. C. MIGUEL, 2000; E. C. CHEREGATI, 2007; M. COTRIM, 2007). (Cap. 3). The documentation and description resulting allowed us to approach some related questions about the canonical transcripts hybridizing, adoptions and any vernacular innovations of modern houses along the coast, We conclude that the appellants and anachronistic elements isolates found in each of the studied bind to the Brazilian Modern Architecture
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In today’s big data world, data is being produced in massive volumes, at great velocity and from a variety of different sources such as mobile devices, sensors, a plethora of small devices hooked to the internet (Internet of Things), social networks, communication networks and many others. Interactive querying and large-scale analytics are being increasingly used to derive value out of this big data. A large portion of this data is being stored and processed in the Cloud due the several advantages provided by the Cloud such as scalability, elasticity, availability, low cost of ownership and the overall economies of scale. There is thus, a growing need for large-scale cloud-based data management systems that can support real-time ingest, storage and processing of large volumes of heterogeneous data. However, in the pay-as-you-go Cloud environment, the cost of analytics can grow linearly with the time and resources required. Reducing the cost of data analytics in the Cloud thus remains a primary challenge. In my dissertation research, I have focused on building efficient and cost-effective cloud-based data management systems for different application domains that are predominant in cloud computing environments. In the first part of my dissertation, I address the problem of reducing the cost of transactional workloads on relational databases to support database-as-a-service in the Cloud. The primary challenges in supporting such workloads include choosing how to partition the data across a large number of machines, minimizing the number of distributed transactions, providing high data availability, and tolerating failures gracefully. I have designed, built and evaluated SWORD, an end-to-end scalable online transaction processing system, that utilizes workload-aware data placement and replication to minimize the number of distributed transactions that incorporates a suite of novel techniques to significantly reduce the overheads incurred both during the initial placement of data, and during query execution at runtime. In the second part of my dissertation, I focus on sampling-based progressive analytics as a means to reduce the cost of data analytics in the relational domain. Sampling has been traditionally used by data scientists to get progressive answers to complex analytical tasks over large volumes of data. Typically, this involves manually extracting samples of increasing data size (progressive samples) for exploratory querying. This provides the data scientists with user control, repeatable semantics, and result provenance. However, such solutions result in tedious workflows that preclude the reuse of work across samples. On the other hand, existing approximate query processing systems report early results, but do not offer the above benefits for complex ad-hoc queries. I propose a new progressive data-parallel computation framework, NOW!, that provides support for progressive analytics over big data. In particular, NOW! enables progressive relational (SQL) query support in the Cloud using unique progress semantics that allow efficient and deterministic query processing over samples providing meaningful early results and provenance to data scientists. NOW! enables the provision of early results using significantly fewer resources thereby enabling a substantial reduction in the cost incurred during such analytics. Finally, I propose NSCALE, a system for efficient and cost-effective complex analytics on large-scale graph-structured data in the Cloud. The system is based on the key observation that a wide range of complex analysis tasks over graph data require processing and reasoning about a large number of multi-hop neighborhoods or subgraphs in the graph; examples include ego network analysis, motif counting in biological networks, finding social circles in social networks, personalized recommendations, link prediction, etc. These tasks are not well served by existing vertex-centric graph processing frameworks whose computation and execution models limit the user program to directly access the state of a single vertex, resulting in high execution overheads. Further, the lack of support for extracting the relevant portions of the graph that are of interest to an analysis task and loading it onto distributed memory leads to poor scalability. NSCALE allows users to write programs at the level of neighborhoods or subgraphs rather than at the level of vertices, and to declaratively specify the subgraphs of interest. It enables the efficient distributed execution of these neighborhood-centric complex analysis tasks over largescale graphs, while minimizing resource consumption and communication cost, thereby substantially reducing the overall cost of graph data analytics in the Cloud. The results of our extensive experimental evaluation of these prototypes with several real-world data sets and applications validate the effectiveness of our techniques which provide orders-of-magnitude reductions in the overheads of distributed data querying and analysis in the Cloud.
