6,807 research outputs found

    Quality assessment for virtual reality technology based on real scene

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    Virtual reality technology is a new display technology, which provides users with real viewing experience. As known, most of the virtual reality display through stereoscopic images. However, image quality will be influenced by the collection, storage and transmission process. If the stereoscopic image quality in the virtual reality technology is seriously damaged, the user will feel uncomfortable, and this can even cause healthy problems. In this paper, we establish a set of accurate and effective evaluations for the virtual reality. In the preprocessing, we segment the original reference and distorted image into binocular regions and monocular regions. Then, the Information-weighted SSIM (IW-SSIM) or Information-weighted PSNR (IW-PSNR) values over the monocular regions are applied to obtain the IW-score. At the same time, the Stereo-weighted-SSIM (SW-SSIM) or Stereo-weighted-PSNR (SW-PSNR) can be used to calculate the SW-score. Finally, we pool the stereoscopic images score by combing the IW-score and SW-score. Experiments show that our method is very consistent with human subjective judgment standard in the evaluation of virtual reality technology

    The adult life span

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    Distance learning materials for the B.Sc(Hons) Social work programme as part of the 'Working with Adults' module. A discussion, with critical thinking exercises, that presents a biographical approach to the study of the adult life course

    Audiovisual preservation strategies, data models and value-chains

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    This is a report on preservation strategies, models and value-chains for digital file-based audiovisual content. The report includes: (a)current and emerging value-chains and business-models for audiovisual preservation;(b) a comparison of preservation strategies for audiovisual content including their strengths and weaknesses, and(c) a review of current preservation metadata models, and requirements for extension to support audiovisual files

    Quality assessment technique for ubiquitous software and middleware

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    The new paradigm of computing or information systems is ubiquitous computing systems. The technology-oriented issues of ubiquitous computing systems have made researchers pay much attention to the feasibility study of the technologies rather than building quality assurance indices or guidelines. In this context, measuring quality is the key to developing high-quality ubiquitous computing products. For this reason, various quality models have been defined, adopted and enhanced over the years, for example, the need for one recognised standard quality model (ISO/IEC 9126) is the result of a consensus for a software quality model on three levels: characteristics, sub-characteristics, and metrics. However, it is very much unlikely that this scheme will be directly applicable to ubiquitous computing environments which are considerably different to conventional software, trailing a big concern which is being given to reformulate existing methods, and especially to elaborate new assessment techniques for ubiquitous computing environments. This paper selects appropriate quality characteristics for the ubiquitous computing environment, which can be used as the quality target for both ubiquitous computing product evaluation processes ad development processes. Further, each of the quality characteristics has been expanded with evaluation questions and metrics, in some cases with measures. In addition, this quality model has been applied to the industrial setting of the ubiquitous computing environment. These have revealed that while the approach was sound, there are some parts to be more developed in the future

    EVALUATING THE CYBER SECURITY IN THE INTERNET OF THINGS: SMART HOME VULNERABILITIES

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    The need for advanced cyber security measures and strategies is attributed to modern sophistication of cyber-attacks and intense media attention when attacks and breaches occur. In May 2014, a congressional report suggested that Americans used approximately 500 million Internet-capable devices at home, including, but not limited to Smartphones, tablets, and other Internet-connected devices, which run various unimpeded applications. Owing to this high level of connectivity, our home environment is not immune to the cyber-attack paradigm; rather, the home has evolved to become one of the most influenced markets where the Internet of Things has had extensive surfaces, vectors for attacks, and unanswered security concerns. Thus, the aim of the present research was to investigate behavioral heuristics of the Internet of Things by adopting an exploratory multiple case study approach. A controlled Internet of Things ecosystem was constructed consisting of real-life data observed during a typical life cycle of initial configuration and average use. The information obtained during the course of this study involved the systematic acquisition and analysis of Smart Home ecosystem link-layer protocol data units (PDUs). The methodology employed during this study involved a recursive multiple case study evaluation of the Smart Home ecosystem data-link layer PDUs and aligned the case studies to the existing Intrusion Kill Chain design model. The proposed solution emerging from the case studies builds the appropriate data collection template while concurrently developing a Security as a Service (SECaaS) capability to evaluate collected results

    A geometrical-based approach to recognise structure of complex interiors

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    3D modelling of building interiors has gained a lot of interest recently, specifically since the rise of Building Information Modeling (BIM). A number of methods have been developed in the past, however most of them are limited to modelling non-complex interiors. 3D laser scanners are the preferred sensor to collect the 3D data, however the cost of state-of-the-art laser scanners are prohibitive to many. Other types of sensors could also be used to generate the 3D data but they have limitations especially when dealing with clutter and occlusions. This research has developed a platform to produce 3D modelling of building interiors while adapting a low-cost, low-level laser scanner to generate the 3D interior data. The PreSuRe algorithm developed here, which introduces a new pipeline in modelling building interiors, combines both novel methods and adapts existing approaches to produce the 3D modelling of various interiors, from sparse room to complex interiors with non-ideal geometrical structure, highly cluttered and occluded. This approach has successfully reconstructed the structure of interiors, with above 96% accuracy, even with high amount of noise data and clutter. The time taken to produce the resulting model is almost real-time, compared to existing techniques which may take hours to generate the reconstruction. The produced model is also equipped with semantic information which differentiates the model from a regular 3D CAD drawing and can be use to assist professionals and experts in related fields
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