49 resultados para Semantic Discursive


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Composite images are synthesized from existing photographs by artists who make concept art, e.g., storyboards for movies or architectural planning. Current techniques allow an artist to fabricate such an image by digitally splicing parts of stock photographs. While these images serve mainly to “quickly”convey how a scene should look, their production is laborious. We propose a technique that allows a person to design a new photograph with substantially less effort. This paper presents a method that generates a composite image when a user types in nouns, such as “boat”and “sand.”The artist can optionally design an intended image by specifying other constraints. Our algorithm formulates the constraints as queries to search an automatically annotated image database. The desired photograph, not a collage, is then synthesized using graph-cut optimization, optionally allowing for further user interaction to edit or choose among alternative generated photos. An implementation of our approach, shown in the associated video, demonstrates our contributions of (1) a method for creating specific images with minimal human effort, and (2) a combined algorithm for automatically building an image library with semantic annotations from any photo collection.

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This paper is a forerunner of a detailed piece of work. It explores the notions of postcolonial theory and cross-culturalism, and whether they can be regarded as collaborative ‘signposts’ of discursive practices. The aim of this paper is to move beyond the contemporary constructs of race, culture and identification and into the arena of hybridity and multiplicity and the constituting and reconstituting of self. In this discussion, I will first outline the notions of postcolonial theory and cross-culturalism, and then explore focal points of collaborative discursive practices. In doing so, I will discuss perceptions of language and discourse and their relationships to postcolonial theory and cross-culturalism. In the context of this topic, I shall use Australia as an example of a diverse community and English as the language being discussed under the term ‘discursive practices’.

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I traverse a number of identity boundaries every day within a work context. This paper discusses the blurred boundary of two identities - (1) a part-time PhD student undertaking a cross-jurisdictional study of police training and education and (2) a full-time, ‘unsworn’ employee advising on education and training at a police academy. Study and work are concurrent. I describe myself as a token insider – different, partly accepted, yet tolerated, or alternatively as an outsider-insider. It is taxing to maintain an outsider’s standpoint in a police organisation. My role regularly places me in a position of challenging the dominant ideology, D/discourse (words, beliefs, thinking styles) and subcultures whilst experiencing the imposition of power by the dominant to accept the status quo. Frustration combined with a desire to name and reframe everyday experiences has led me to engage in critical reflection, enlist a critical friend, and undertake doctoral research. As an outsider- nsider, critical reflection is a tool that enables me to negotiate discursive positions by questioning my engagement and subject position within and against the taken-for-granted and unquestioned dominant D/discourses.

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A web operating system is an operating system that users can access from any hardware at any location. A peer-to-peer (P2P) grid uses P2P communication for resource management and communication between nodes in a grid and manages resources locally in each cluster, and this provides a proper architecture for a web operating system. Use of semantic technology in web operating systems is an emerging field that improves the management and discovery of resources and services. In this paper, we propose PGSW-OS (P2P grid semantic Web OS), a model based on a P2P grid architecture and semantic technology to improve resource management in a web operating system through resource discovery with the aid of semantic features. Our approach integrates distributed hash tables (DHTs) and semantic overlay networks to enable semantic-based resource management by advertising resources in the DHT based upon their annotations to enable semantic-based resource matchmaking. Our model includes ontologies and virtual organizations. Our technique decreases the computational complexity of searching in a web operating system environment. We perform a simulation study using the Gridsim simulator, and our experiments show that our model provides enhanced utilization of resources, better search expressiveness, scalability, and precision. © 2014 Springer Science+Business Media New York.

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Purpose: This study investigated if the quality of pre-school children's pretend play predicted their semantic organization and narrative re-telling ability when they were in early primary school. It was hypothesized that the elaborateness of a child's play and the child's use of symbols in play were predictors of their semantic organization and narrative re-tell scores of the School Age Oral Language Assessment. Method: Forty-eight children were assessed using the Child-Initiated Pretend Play Assessment when they were aged 4-5 years. Three-to-five years after this assessment their semantic organization and narrative re-telling skills were assessed. Results: Results indicate that the elaborateness of a child's play and their ability to use symbols was predictive of semantic organization skills. Use of symbols in play was the strongest play predictor of narrative re-telling skills. The quality of a pre-school child's ability to elaborate complex sequences in pretend play and use symbols predicted up to 20% of a child's semantic organization and narrative re-telling skills up to 5 years later. Conclusions: The study provides evidence that the quality of pretend play in 4-5 year olds is important for semantic organization and narrative re-telling abilities in the school-aged child.

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Biomedical time series clustering that automatically groups a collection of time series according to their internal similarity is of importance for medical record management and inspection such as bio-signals archiving and retrieval. In this paper, a novel framework that automatically groups a set of unlabelled multichannel biomedical time series according to their internal structural similarity is proposed. Specifically, we treat a multichannel biomedical time series as a document and extract local segments from the time series as words. We extend a topic model, i.e., the Hierarchical probabilistic Latent Semantic Analysis (H-pLSA), which was originally developed for visual motion analysis to cluster a set of unlabelled multichannel time series. The H-pLSA models each channel of the multichannel time series using a local pLSA in the first layer. The topics learned in the local pLSA are then fed to a global pLSA in the second layer to discover the categories of multichannel time series. Experiments on a dataset extracted from multichannel Electrocardiography (ECG) signals demonstrate that the proposed method performs better than previous state-of-the-art approaches and is relatively robust to the variations of parameters including length of local segments and dictionary size. Although the experimental evaluation used the multichannel ECG signals in a biometric scenario, the proposed algorithm is a universal framework for multichannel biomedical time series clustering according to their structural similarity, which has many applications in biomedical time series management.

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With the increase use of location-based services, location privacy has recently raised serious concerns. To protect a user from being identified, a cloaked spatial region that contains other k-1 nearest neighbors of the user is used to replace the accurate position. In this paper, we consider location-aware applications that services are different among regions. To search nearest neighbors, we define a novel distance measurement that combines the semantic distance and the Euclidean distance to address the privacy preserving issue in the above-mentioned applications. We also propose an algorithm kNNH to implement our proposed method. The experimental results further suggest that the proposed distance metric and the algorithm can successfully retain the utility of the location services while preserving users’ privacy.

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David Bowie embodies certain identity positions that are alien, alternative, and transgressive via metaphor and alter-egos that render him essentially strange. This chapter argues that by using metaphor and metonym throughout his visual and sonic creations, David Bowie has been largely freed from the constraints of merely describing the world; his use of metaphor and metonym have afforded possible reevaluations of the world, in new ways, by breaking the association between language and things. His own sonic and visual assemblage have allowed fissures to be created; new and multiple meanings rendered possible and valid, with his work going beyond both the creator and viewing/listening-body. Using Sara Ahmed’s (2004) social philosophies of trauma and scarring, the chapter argues that what David Bowie’s work frequently does is ‘re-open wounds’ and reminds us of the scars; asking us to notice their existence, to become more aware, in the first instance. But then, offers a means to negotiate their healing.

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Threshold concepts have proven to be a useful tool in understanding a particular set of difficulties that confront students in higher education. From the viewpoint of a student threshold concepts are characterized as transformative, integrative, bounded, troublesome, and to a large extent invisible. The sematic web, among its many other advantages, holds the possibility of allowing students to successfully move beyond the threshold concepts in their chosen discipline. The nature of threshold concepts are discussed and related specifically to andragogy. A preliminary solution, which takes advantage of the features of Web 3.0, is presented.