Cloud computing technologies although in their early stages, have managed to change the way applications are going to be developed and accessed. These technologies are aimed at running applications as services applications are housed in the cloud. Cloud computing provides a low cost solution to academic institutions based applications can also be accessed through mobile devices in addition to being available to a variety of laptop and desk top computers, provided internet access is available. In this paper we present a solution that is based on cloud computing and can be used for building a virtual environment both for teaching and learning. We present an interactive tool that can be used for science education; we combined various technologies to achieve this goal. The environment and the design proposed can also be used as a platform for exploring and sharing new ideas as well as for designing, modifying and monitoring educational or course contents. In our design under the same environment we also allow integration of different pedagogical approaches to both learning and teaching.
The advent of cloud computing and the ubiquity of broadband wireless coverage and wide spread usage of smart phones around the world carries the potential for transforming health care services, reducing health care cost and ensuring faster care for urgent cases. To these objectives, we present a cloud-based mobile health monitoring solution that takes advantage of cloud infrastructure and mobile processing capability to address the rising cost of health care monitoring. The solution enables health care providers to remotely analyze, monitor and diagnose patient's data. The solution integrates a powerful data analysis tool, cloud computing and mobile services. This paper presents a proof of concept that has been developed to monitor, record and analyze heart rate. The design enables a physician to develop custom analysis and monitoring to collect key indicator or set alerts without a need for infrastructure implementations to store or transfer the data.
MPEG are two related standards developed by the Moving Picture Experts Group (MPEG) to address the multimedia retrieval problem. MPEG-7 aims to provide standardized comprehensive set of tools for description of audiovisual content, while MPQF aims to provide a standardized interface which unifies the retrieval over different multimedia repositories. However, both standards have some limitations. On one hand, MPEG-7 is based on XML Schema, therefore, does not have formal semantics, which makes difficult to be managed by computers. Machine understandable metadata forms the main prerequisite for the intelligent services envisaged in a Web, which going beyond mere data exchange and provides for effective content access, sharing and reuse. Consequently, there have been several attempts to move MPEG-7 to the Semantic Web to provide it with formal semantics. On the other hand, MPQF is limited to querying XML-based multimedia metadata. Therefore if MPQF is intended to support queries on non-XML multimedia metadata, mapping of MPQF to the specific database query language is necessary. In this paper MPQF is used to query semantic MPEG-7 RDF descriptions. A set of rules are proposed for converting MPQF query into SPARQL query without introducing new construct to MPQF. These rules are mainly based on the new features added in SPARQL1.1.
Cloud computing technologies, although in their early stages, have managed to change the way applications are going to be developed and accessed. These technologies are aimed at running applications as services over the internet on a flexible infrastructure. Microsoft Office applications, such as Word processing, Excel spreadsheet, Access database and many more can be accessed through the Internet, even though the files and applications are housed in the cloud. Cloud computing provides a low cost solution to academic institutions for their researchers, faculty, and students. This setup provides an additional benefit because all these browser-based applications can also be accessed through mobile devices in addition to being available to a variety of laptop and desktop computers, provided Internet access is available. At the same time, the massive growth of social networking sites (SNS) among today’s college students is increasing the number of higher education instructors that are combining distance education delivery with SNS. To take advantage of cloud computing and social networking sites, this chapter presents an integrated solution that provides learners with a comprehensive and feature rich environment for building and utilizing applications and can be used for building a virtual environment both for teaching and learning. The authors present an interactive tool that can be used for science education; they combined various technologies to achieve this goal. The environment and the design proposed can also be used as a platform for exploring and sharing new ideas as well as for designing, modifying, and monitoring educational or course contents. In this design under the same environment the authors also allow integration of different pedagogical approaches to both learning and teaching.
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