846 resultados para Place image art-making


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Digital Image

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Digital image

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Bringing a social interaction approach to children’s geographies to investigate how children accomplish place in everyday lives, we draw on ethnomethodological and conversation analytic approaches that recognize children’s competence to manipulate their social and digital worlds. An investigation of preschool-aged children engaged with Google Earth™ shows how they both claimed and displayed technological understandings and practices such as maneuvering the mouse and screen, and referenced place through relationships with local landmarks and familiar settings such as their school. At times, the children’s competing agendas required orientation to each other’s ideas, and shared negotiation to come to resolution. A focus on children’s use of digital technologies as they make meaning of the world around them makes possible new understandings of place within the geographies of childhood and education.

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Initialed and dated lower right. Inscription attached paper: "Court of Dresden barracks for ladies only"

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The Schoolman Papers reflect Dr. Albert P. and Mrs. Bertha Schoolmans' staunch dedication to Jewish education, Jewish causes, and Israel. Bertha Schoolman, a lifelong member of Hadassah, assisted thousands of Israeli youth as chairman of the Youth Aliyah Committee. Her diaries, photos, scrapbooks, and correspondence record her numerous visits to Israel on which she helped set up schools, met with Israeli dignitaries, and participated in Zionist Conferences and events. The collection includes a 1936 letter from Hadassah founder, Henrietta Szold, praising Mrs. Schoolman's work as well as a letter from the father of Anne Frank, thanking Mrs. Schoolman for naming a Youth Aliyah center the "Anne Frank Haven" after his later daughter.

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Place identification is the methodology of automatically detecting spatial regions or places that are meaningful to a user by analysing her location traces. Following this approach several algorithms have been proposed in the literature. Most of the algorithms perform well on a particular data set with suitable choice of parameter values. However, tuneable parameters make it difficult for an algorithm to generalise to data sets collected from different geographical locations, different periods of time or containing different activities. This thesis compares the generalisation performance of our proposed DPCluster algorithm along with six state-of-the-art place identification algorithms on twelve location data sets collected using Global Positioning System (GPS). Spatial and temporal variations present in the data help us to identify strengths and weaknesses of the place identification algorithms under study. We begin by discussing the notion of a place and its importance in location-aware computing. Next, we discuss different phases of the place identification process found in the literature followed by a thorough description of seven algorithms. After that, we define evaluation metrics and compare generalisation performance of individual place identification algorithms and report the results. The results indicate that the DPCluster algorithm performs superior to all other algorithms in terms of generalisation performance.

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From the Soviet point of view the actual substance of Soviet-Finnish relations in the second half of 1950s clearly differed from the contemporary and later public image, based on friendship and confidence rhetoric. As the polarization between the right and the left became more underlined in Finland in the latter half of the 1950s, the criticism towards the Soviet Union became stronger, and the USSR feared that this development would have influence on Finnish foreign policy. From the Soviet point of view, the security commitments of FCMA-treaty needed additional guarantees through control of Finnish domestic politics and economic relations, especially during international crises. In relation to Scandinavia, Finland was, from the Soviet point of view, the model country of friendship or neutrality policy. The influence of the Second Berlin Crisis or the Soviet-Finnish Night Frost Crisis in 1958-1959 to Soviet policy towards Scandinavia needs to be observed from this point of view. The Soviet Union used Finland as a tool, in agreement with Finnish highest political leadership, for weakening of the NATO membership of Norway and Denmark, and for maintaining Swedish non-alliance. The Finnish interest to EFTA membership in the summer of 1959, at the same time with the Scandinavian countries, seems to have caused a panic reaction in the USSR, as the Soviets feared that these economic arrangements would reverse the political advantages the country had received in Finland after the Night Frost Crisis. Together with history of events, this study observes the interaction of practical interests and ideologies, both in individuals and in decision-making organizations. The necessary social and ideological reforms in the Soviet Union after 1956 had influence both on the legitimacy of the regime, and led to contradictions in the argumentation of Soviet foreign policy. This was observed both in the own camp as well as in the West. Also, in Finland a breakthrough took place in the late 1950's: as the so-called counter reaction lost to the K-line, "a special relationship" developed with the Soviet Union. As a consequence of the Night Frost Crisis the Soviet relationship became a factor decisively defining the limits of domestic politics in Finland, a part of Finnish domestic political argumentation. Understood from this basis, finlandization is not, even from the viewpoint of international relations, a special case, but a domestic political culture formed by the relationship between a dominant state, a superpower, and a subordinate state, Finland.

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The use of UAVs for remote sensing tasks; e.g. agriculture, search and rescue is increasing. The ability for UAVs to autonomously find a target and perform on-board decision making, such as descending to a new altitude or landing next to a target is a desired capability. Computer-vision functionality allows the Unmanned Aerial Vehicle (UAV) to follow a designated flight plan, detect an object of interest, and change its planned path. In this paper we describe a low cost and an open source system where all image processing is achieved on-board the UAV using a Raspberry Pi 2 microprocessor interfaced with a camera. The Raspberry Pi and the autopilot are physically connected through serial and communicate via MAVProxy. The Raspberry Pi continuously monitors the flight path in real time through USB camera module. The algorithm checks whether the target is captured or not. If the target is detected, the position of the object in frame is represented in Cartesian coordinates and converted into estimate GPS coordinates. In parallel, the autopilot receives the target location approximate GPS and makes a decision to guide the UAV to a new location. This system also has potential uses in the field of Precision Agriculture, plant pest detection and disease outbreaks which cause detrimental financial damage to crop yields if not detected early on. Results show the algorithm is accurate to detect 99% of object of interest and the UAV is capable of navigation and doing on-board decision making.

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How can teachers ensure a pedagogy of possibility underpinned by social justice, and what has literacy got to do with this? This book explores the positive synergies between critical literacy and place-conscious pedagogy. Through rich classroom research it introduces and demonstrates how a synthesis of insights from theories of space and place and literacy studies can underpin the design and enactment of culturally inclusive curriculum for diverse student communities, and illustrates how making place and space the objects of study provide productive resources for teachers to design enabling pedagogical practices that extend students' literate repertoires. The argument is that systematic study of and engagement with specific elements of place can enable students' academic learning and literacy.

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This paper describes a practice-led methodology that combines contemporary art theory and processes, as well as concepts of fan studies to construct a space for the critical and creative exploration of screen culture. The research promotes new possibilities for purposeful creative engagements with the screen, framed through the lens of what I term the digital-bricoleur. This performative, link-making approach documents the complicit tendencies that arise out of my affective relationship with screen culture, mapping out a cultural terrain in which I can creatively and critically ‘play’. The creative exploitation of this improvisational and aleatory activity then forms the creative research outputs. It appropriates and reconfigures content from screen culture, creating digital video installations aimed at engendering new experiences and critical interpretations of screen culture.

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State-of-the-art image-set matching techniques typically implicitly model each image-set with a Gaussian distribution. Here, we propose to go beyond these representations and model image-sets as probability distribution functions (PDFs) using kernel density estimators. To compare and match image-sets, we exploit Csiszar´ f-divergences, which bear strong connections to the geodesic distance defined on the space of PDFs, i.e., the statistical manifold. Furthermore, we introduce valid positive definite kernels on the statistical manifold, which let us make use of more powerful classification schemes to match image-sets. Finally, we introduce a supervised dimensionality reduction technique that learns a latent space where f-divergences reflect the class labels of the data. Our experiments on diverse problems, such as video-based face recognition and dynamic texture classification, evidence the benefits of our approach over the state-of-the-art image-set matching methods.