the recent availability of low cost wearable augmented reality (WAR) technologies, is leveraging the design of applications in many different domains in order to support users in their daily activities. For most of th...
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ISBN:
(纸本)9781467394734
the recent availability of low cost wearable augmented reality (WAR) technologies, is leveraging the design of applications in many different domains in order to support users in their daily activities. For most of these domains, the large amount of information displayable on top of the reality, directly in the user's field of view, represents an important challenge for designers. In this paper we present a view management technique for placing touristic/cultural information, in the form of points of interest (POIs), in an AR system that works in the absence of a priori knowledge of the real environment. the user-driven view management technique, designed as a remote service, improves representation and displacement of the digital information each time the user manifests an interest in a particular area of the real space. the proposed approach includes a layout algorithm, which exploits the user's local position and her/his point of view direction, to correctly set the POI height in the user's view avoiding overlapping and cluttering, together with an adaptive rendering method, using information about the brightness of the area, that computes the visual appearance parameters of each virtual POI in order to improve its readability over the background.
An interesting challenge in E-health is to perform real-time diagnosis. In many distributedcomputing systems the data processing stage, generally assigned on standard computational CPU environments, is a critical asp...
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ISBN:
(纸本)9781467394734
An interesting challenge in E-health is to perform real-time diagnosis. In many distributedcomputing systems the data processing stage, generally assigned on standard computational CPU environments, is a critical aspect. In particular, the analysis of magnetic resonance imaging (MRI) for improving the quality of images and helping the diagnosis requires an high computational complexity. Using Graphics Processing Units (GPUs) on High Performance computing (HPC), the images processing step can be accelerated by speeding the whole diagnosis procedure. In this paper, we propose a parallel algorithm, on a GPU environment, for MRI denoising in order to make the diagnostic system more efficient. As case study, we consider the Optimized Blockwise Non Local Means (OB-NLM) method. Its intrinsic nature makes it perfectly suited for parallelization and multithreading implementation, especially for GPUs architectures. the results show a significant improvement of the entire healthcare practice procedure in terms of performances.
In latest years modern world's needs of safety caused a speed spreading of video surveillance systems, more and more frequently collocated in the most crowded places. thus, a lot of theoretical approaches working ...
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ISBN:
(纸本)9781467394734
In latest years modern world's needs of safety caused a speed spreading of video surveillance systems, more and more frequently collocated in the most crowded places. thus, a lot of theoretical approaches working with data coming from heterogeneous sources and defining some very complex event detection algorithms have been proposed in the literature. In this paper, we present a distributed framework for event detection in video surveillance context. the overall process is described, starting from the video frames captured by different kinds of sensors and cameras till at the end some high-level event detection algorithms performed in a distributed environment for finding potentially dangerous activities are applied. the conducted experiments confirm the efficiency achieved by our distributed framework.
In recent years, the proliferation of highly dynamic graph-structured data streams fueled the demand for real-time data analytics. For instance, detecting recent trends in social networks enables new applications in a...
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ISBN:
(纸本)9781450340212
In recent years, the proliferation of highly dynamic graph-structured data streams fueled the demand for real-time data analytics. For instance, detecting recent trends in social networks enables new applications in areas such as disaster detection, business analytics or health-care. parallel Complex Event Processing has evolved as the paradigm of choice to analyze data streams in a timely manner, where the incoming data streams are split and processed independently by parallel operator instances. However, the degree of parallelism is limited by the feasibility of splitting the data streams into independent parts such that correctness of event processing is still ensured. In this paper, we overcome this limitation for graph-structured data by further parallelizing individual operator instances using modern graph processing systems. these systems partition the graph data and execute graph algorithms in a highly parallel fashion, for instance using cloud resources. To this end, we propose a novel graph-based Complex Event Processing system GraphCEP and evaluate its performance in the setting of two case studies from the DEBS Grand Challenge 2016.
the proceedings contain 8 papers. the topics discussed include: a workflow runtime environment for Manycore parallel architectures;orchestrating workflows over heterogeneous networking infrastructures;towards efficien...
ISBN:
(纸本)9781450339896
the proceedings contain 8 papers. the topics discussed include: a workflow runtime environment for Manycore parallel architectures;orchestrating workflows over heterogeneous networking infrastructures;towards efficient scheduling of data intensive high energy physics workflows;contemporary challenges for data-intensive scientific workflow management systems;co-sites: the autonomous distributed dataflows in collaborative scientific discovery;inter-language parallel scripting for distributed-memory scientific computing;dynamically reconfigurable workflows for time-critical applications;enabling workflow repeatability with virtualization support;and workflow provenance: an analysis of long term storage costs.
Critical distributed systems are usually employed in situation where automation is appealing when dealing with dangerous situations. Anyway, the complexity of these systems is growing up faster and faster. distributed...
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ISBN:
(纸本)9781467394734
Critical distributed systems are usually employed in situation where automation is appealing when dealing with dangerous situations. Anyway, the complexity of these systems is growing up faster and faster. distributed autonomous elements like sensors networks, drones etc. are now widely used in critical system. In this systems, each autonomous element must implement procedures in order to reach their goals in a distributed, usually collaborative environments. New planning algorithms have to be coped with existing ones in order to fulfil performance and soundness requirements. In this paper we propose an autonomous planning methodology that is based on multi-agent models. the planning methodology exploits both classical and a new counter-example based approaches in order to build an effective multi-expert system able to face with increasing complexity of these systems. We also describe a framework we implemented in order to enact the methodology and we will present results from the study of a critical distributed system.
In this paper, we will focus on the contribution an efficient and an effective approach for a distributed discovery of Semantic Web services (SWs), which address some aspects, related to problems the time complexity o...
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ISBN:
(纸本)9781467394734
In this paper, we will focus on the contribution an efficient and an effective approach for a distributed discovery of Semantic Web services (SWs), which address some aspects, related to problems the time complexity of collaboration in the process of automatic discovery for SWs in order to achieve adaptability in a highly-dynamic distributedcomputing. For this purpose, our approach is based on P2P computingthat proved to be scalable, efficient and robust solutions for distributed discovery of SWs. Indeed, we propose a matching technique of ontology OWL-S process model, in order to efficiently and effectively discover appropriate Web services distributed among all peers in a large-size P2P network. For improving performance and effectiveness, our scalable approach is mapped on unstructured P2P networks by exploiting Pareto efficiency to reduce considerably the execution time and message exchanged for disseminating request about the unstructured P2P network structure among the peers, to simplify the management of the P2P network and to ensure the quality of service. the experimental results show that the proposed approach enhances the network scalability while providing good overall performances. Also, we show that our approach can perform more efficient and effective distributed discovery of SWs with low computational cost in terms of completeness and accuracy in P2P computing, when compared to the other approaches.
the number of applications being deployed using the Platform as a Service (PaaS) cloud computing model is increasing. Despite the security controls implemented by cloud service providers, we expect intrusions to strik...
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ISBN:
(纸本)9781467372145
the number of applications being deployed using the Platform as a Service (PaaS) cloud computing model is increasing. Despite the security controls implemented by cloud service providers, we expect intrusions to strike such applications. We present Shuttle, a novel intrusion recovery service. Shuttle recovers from intrusions in applications deployed in PaaS platforms. Our approach allows undoing changes to the state of PaaS applications due to intrusions, without loosing the effect of legitimate operations performed after the intrusions take place. We combine a record-and-replay approach withthe elasticity provided by cloud offerings to recover applications deployed on various instances and backed by distributed databases. the service loads a database snapshot taken before the intrusion and replays subsequent requests, as much in parallel as possible, while continuing to execute incoming requests. We present an experimental evaluation of Shuttle on Amazon Web Services. We show Shuttle can replay 1 million requests in 10 minutes and that it can duplicate the number of requests replayed per second by increasing the number of application servers from 1 to 3.
Model-based Systems Engineering plays a pivotal role in the design of distributed embedded systems by enabling early virtual integration of the different parts of the system. Traditionally, the system model is compose...
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ISBN:
(纸本)9781467394734
Model-based Systems Engineering plays a pivotal role in the design of distributed embedded systems by enabling early virtual integration of the different parts of the system. Traditionally, the system model is composed of subsystem models at the same level of abstraction and with one particular view. However, in some cases the system model may comprise subsystem models at different levels of abstraction. Integration of these different abstraction level models imposes some important drawbacks which hinder the overall system simulations. these drawbacks need to be addressed to facilitate the simulation of systems composed with multi-level subsystem models. In this paper we report on modelling techniques for embedded and distributed systems to deal withthis heterogeneity. We describe a methodology to (semi-)automatically generate an executable multi-level system simulation model starting from an abstract system architecture of the system. A platooning system example is used to demonstrate the new modelling techniques.
the existing set of Peer-to-Peer (P2P) digital repositories were not originally and purposely designed for sharing learning content, and as such are not well suited in the same way that centralized repositories are fo...
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ISBN:
(纸本)9781467394734
the existing set of Peer-to-Peer (P2P) digital repositories were not originally and purposely designed for sharing learning content, and as such are not well suited in the same way that centralized repositories are for the storing and retrieving of learning content for instructional use. this survey paper therefore reviews some P2P file-sharing and related eLearning technologies, to identify core reasons why there are no P2P eLearning Systems with features comparable to the ubiquitous client/server eLearning Systems. It concludes that P2P sharing of Reusable Learning Content requires a redesign in order to facilitate more comprehensive P2P eLearning Systems.
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