7,110 research outputs found

    Ontology based Scene Creation for the Development of Automated Vehicles

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    The introduction of automated vehicles without permanent human supervision demands a functional system description, including functional system boundaries and a comprehensive safety analysis. These inputs to the technical development can be identified and analyzed by a scenario-based approach. Furthermore, to establish an economical test and release process, a large number of scenarios must be identified to obtain meaningful test results. Experts are doing well to identify scenarios that are difficult to handle or unlikely to happen. However, experts are unlikely to identify all scenarios possible based on the knowledge they have on hand. Expert knowledge modeled for computer aided processing may help for the purpose of providing a wide range of scenarios. This contribution reviews ontologies as knowledge-based systems in the field of automated vehicles, and proposes a generation of traffic scenes in natural language as a basis for a scenario creation.Comment: Accepted at the 2018 IEEE Intelligent Vehicles Symposium, 8 pages, 10 figure

    Hypermedia-based discovery for source selection using low-cost linked data interfaces

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    Evaluating federated Linked Data queries requires consulting multiple sources on the Web. Before a client can execute queries, it must discover data sources, and determine which ones are relevant. Federated query execution research focuses on the actual execution, while data source discovery is often marginally discussed-even though it has a strong impact on selecting sources that contribute to the query results. Therefore, the authors introduce a discovery approach for Linked Data interfaces based on hypermedia links and controls, and apply it to federated query execution with Triple Pattern Fragments. In addition, the authors identify quantitative metrics to evaluate this discovery approach. This article describes generic evaluation measures and results for their concrete approach. With low-cost data summaries as seed, interfaces to eight large real-world datasets can discover each other within 7 minutes. Hypermedia-based client-side querying shows a promising gain of up to 50% in execution time, but demands algorithms that visit a higher number of interfaces to improve result completeness

    Virtual objects in electronic catalogs: A human-computer interface issue

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    Web interface design is an important aspect of electronic commerce (EC). However, apart from design frameworks and guidelines for Web-based EC, not much has been done by researchers or practitioners on how electronic catalogs (e-catalogs) influence the users' desirability and satisfaction as purchasers. In this correspondence, we investigate the form of media that represented the most efficient mode to present products to Web users by summarizing and evaluating various existing forms of e-catalogs and their respective responses from Web users. We conclude that a 3-D virtual object (VO) is the most efficient mode of electronic cataloging for Web interface due to a better sense of presence of users, a more attractive and enjoyable media of delivery of useful information to users, and a higher level of engagement of user's memory. A 3-D VO, as a result, generates the highest users' satisfaction, which leads to increased propensity to purchase. Further, we discuss the practical and theoretical research implications of these findings to e-catalogs. © 2007 IEEE.published_or_final_versio

    Strategic Directions in Object-Oriented Programming

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    This paper has provided an overview of the field of object-oriented programming. After presenting a historical perspective and some major achievements in the field, four research directions were introduced: technologies integration, software components, distributed programming, and new paradigms. In general there is a need to continue research in traditional areas:\ud (1) as computer systems become more and more complex, there is a need to further develop the work on architecture and design; \ud (2) to support the development of complex systems, there is a need for better languages, environments, and tools; \ud (3) foundations in the form of the conceptual framework and other theories must be extended to enhance the means for modeling and formal analysis, as well as for understanding future computer systems

    A Taxonomy of Data Grids for Distributed Data Sharing, Management and Processing

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    Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this paper, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration. Through this taxonomy, we aim to categorise existing systems to better understand their goals and their methodology. This would help evaluate their applicability for solving similar problems. This taxonomy also provides a "gap analysis" of this area through which researchers can potentially identify new issues for investigation. Finally, we hope that the proposed taxonomy and mapping also helps to provide an easy way for new practitioners to understand this complex area of research.Comment: 46 pages, 16 figures, Technical Repor

    CHANGING LEARNING ENVIRONMENT THROUGH TECHNOLOGY

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    Evolution of E-learning phenomenon exceeded all expectations in recent years.As a result of development of IT&C technologies and, on the other hand, due to support decision-makers at European level, the assimilation of virtual learning platforms in schools and universities hasbecome a normal phenomenon.The E-learning 2.0 concept seeks to revolutionize traditional learning methods and requires majorchanges in the perception of the educational process of teaching and learning.This article tries to create an overview of the main development directions and emphasizes the impactthat computer-assisted instruction technologies have on teaching and learning methods, with a directconnection to distance learning and blended learning concepts. Also, we have tried to open aperspective on the concept of e-Assessment and related technologiese-learning 2.0, computer based training, e-assessment, blended learning, distance learning

    Leveraging Semantic Web Technologies for Managing Resources in a Multi-Domain Infrastructure-as-a-Service Environment

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    This paper reports on experience with using semantically-enabled network resource models to construct an operational multi-domain networked infrastructure-as-a-service (NIaaS) testbed called ExoGENI, recently funded through NSF's GENI project. A defining property of NIaaS is the deep integration of network provisioning functions alongside the more common storage and computation provisioning functions. Resource provider topologies and user requests can be described using network resource models with common base classes for fundamental cyber-resources (links, nodes, interfaces) specialized via virtualization and adaptations between networking layers to specific technologies. This problem space gives rise to a number of application areas where semantic web technologies become highly useful - common information models and resource class hierarchies simplify resource descriptions from multiple providers, pathfinding and topology embedding algorithms rely on query abstractions as building blocks. The paper describes how the semantic resource description models enable ExoGENI to autonomously instantiate on-demand virtual topologies of virtual machines provisioned from cloud providers and are linked by on-demand virtual connections acquired from multiple autonomous network providers to serve a variety of applications ranging from distributed system experiments to high-performance computing
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