49,568 research outputs found

    Emotion resonance and divergence: a semiotic analysis of music and sound in 'The Lost Thing', an animated short film and 'Elizabeth' a film trailer

    Get PDF
    Music and sound contributions of interpersonal meaning to film narratives may be different from or similar to meanings made by language and image, and dynamic interactions between several modalities may generate new story messages. Such interpretive potentials of music and voice sound in motion pictures are rarely considered in social semiotic investigations of intermodality. This paper therefore shares two semiotic studies of distinct and combined music, English speech and image systems in an animated short film and a promotional filmtrailer. The paper considers the impact of music and voice sound on interpretations of film narrative meanings. A music system relevant to the analysis of filmic emotion is proposed. Examples show how music and intonation contribute meaning to lexical, visual and gestural elements of the cinematic spaces. Also described are relations of divergence and resonance between emotion types in various couplings of music, intonation, words and images across story phases. The research is relevant to educational knowledge about sound, and semiotic studies of multimodality

    Fast parallel volume visualization on cuda technology

    Get PDF
    In the medical diagnosis and treatment planning, radiologists and surgeons rely heavily on the slices produced by medical imaging scanners. Unfortunately, most of these scanners can only produce two dimensional images because the machines that can produce three dimensional are very expensive. The two dimensional images from these devices are difficult to interpret because they only show cross-sectional views of the human structure. Consequently, such circumstances require highly qualified doctors to use their expertise in the interpretation of the possible location, size or shape of the abnormalities especially for large datasets of enormous amount of slices. Previously, the concept of reconstructing two dimensional images to three dimensional was introduced. However, such reconstruction model requires high performance computation, may either be time-consuming or costly. Furthermore, detecting the internal features of human anatomical structure, such as the imaging of the blood vessels, is still an open topic in the computer-aided diagnosis of disorders and pathologies. This study proposed, designed and implemented a visualization framework named SurLens with high performance computing using Compute Unified Device Architecture (CUDA), augmenting the widely proven ray casting technique in terms of superior qualities of images but with slow speed. Considering the rapid development of technology in the medical community, our framework is implemented on Microsoft .NET environment for easy interoperability with other emerging revolutionary tools. The Visualization System was evaluated with brain datasets from the department of Surgery, University of North Carolina, United States, containing 109 datasets of MRA, T1-FLASH, T2-Weighted, DTI and T1-MPRAGE. Significantly, at a reasonably cheaper cost, SurLens Visualization System achieves immediate reconstruction and obvious mappings of the internal features of the human brain, reliable enough for instantaneously locate possible blockages in the brain blood vessels without any prior segmentation of the datasets

    A high-level semiotic trust agent scoring model for collaborative virtual organisations

    Get PDF
    In this paper, we describe how a semiotic ladder, together with a supportive trust agent, can be used to address “soft” trust issues in the context of collaborative Virtual Organisations (VO). The intention is to offer all parties better support for trust (as reputation) management including the reduction of risk and improved reliability of VO e-services. The semiotic ladder is intended to support the VO e-service lifecycle through the articulation of e-trust at various levels of system abstraction, including trust as measurable confidence. At the social level, reputation and reliability measures of e-trust are the relevant dimensions as regards choice of VO partner and are also relevant to the negotiation of service level agreements between the VO partners. By contrast, at the lower levels of the trust ladder, e-trust measures typically address the degree to which secure sign on and message level security conforms to various tangible technological security protocols. The novel trust agent provides the e-service consumer with an objective measure of the trustworthiness of the e-service at run-time, just prior to its actual consumption. Specifically, VO e-service consumer confidence level is informed, by leveraging third party objective evidence. This evidence comprises a set of Corporate Governance (CG) scores. These scores are used as a trust proxy for the "real" owner of the VO. There are also inherent limitations associated with the use of CG scores. These are duly acknowledged

    Synthetic Semiotics: on modelling and simulating the \ud emergence of sign processes

    Get PDF
    Based on formal-theoretical principles about the \ud sign processes involved, we have built synthetic experiments \ud to investigate the emergence of communication based on \ud symbols and indexes in a distributed system of sign users, \ud following theoretical constraints from C.S.Peirce theory of \ud signs, following a Synthetic Semiotics approach. In this paper, we summarize these computational experiments and results regarding associative learning processes of symbolic sign modality and cognitive conditions in an evolutionary process for the emergence of either symbol-based or index-based communication
    • …
    corecore