50,090 research outputs found
A systematic literature review of cloud computing in eHealth
Cloud computing in eHealth is an emerging area for only few years. There
needs to identify the state of the art and pinpoint challenges and possible
directions for researchers and applications developers. Based on this need, we
have conducted a systematic review of cloud computing in eHealth. We searched
ACM Digital Library, IEEE Xplore, Inspec, ISI Web of Science and Springer as
well as relevant open-access journals for relevant articles. A total of 237
studies were first searched, of which 44 papers met the Include Criteria. The
studies identified three types of studied areas about cloud computing in
eHealth, namely (1) cloud-based eHealth framework design (n=13); (2)
applications of cloud computing (n=17); and (3) security or privacy control
mechanisms of healthcare data in the cloud (n=14). Most of the studies in the
review were about designs and concept-proof. Only very few studies have
evaluated their research in the real world, which may indicate that the
application of cloud computing in eHealth is still very immature. However, our
presented review could pinpoint that a hybrid cloud platform with mixed access
control and security protection mechanisms will be a main research area for
developing citizen centred home-based healthcare applications
Report on the Implementation of Work Package 4 “Selection and Testing New ICT Tools” in the Framework of the IRNet Project
This article, prepared by an international team of authors – researchers from
different scientific areas, connected with ICT, e-learning, pedagogy, and other
related disciplines – focuses on the objectives and some results of the IRNet
international project. In particular, this article describes the research tools, methods,
and some procedures of the Work Package 4 (WP4) “Selection and Testing New ICT tools”: Objectives, Tasks, Deliverables, and implementation of research trips.
Researchers from partner universities have analysed the results of WP4 in the
context of the next stages and Work Packages of the IRNet project – International
Research Network
A Review on the Application of Natural Computing in Environmental Informatics
Natural computing offers new opportunities to understand, model and analyze
the complexity of the physical and human-created environment. This paper
examines the application of natural computing in environmental informatics, by
investigating related work in this research field. Various nature-inspired
techniques are presented, which have been employed to solve different relevant
problems. Advantages and disadvantages of these techniques are discussed,
together with analysis of how natural computing is generally used in
environmental research.Comment: Proc. of EnviroInfo 201
A Review and Characterization of Progressive Visual Analytics
Progressive Visual Analytics (PVA) has gained increasing attention over the past years.
It brings the user into the loop during otherwise long-running and non-transparent computations
by producing intermediate partial results. These partial results can be shown to the user
for early and continuous interaction with the emerging end result even while it is still being
computed. Yet as clear-cut as this fundamental idea seems, the existing body of literature puts forth
various interpretations and instantiations that have created a research domain of competing terms,
various definitions, as well as long lists of practical requirements and design guidelines spread across
different scientific communities. This makes it more and more difficult to get a succinct understanding
of PVA’s principal concepts, let alone an overview of this increasingly diverging field. The review and
discussion of PVA presented in this paper address these issues and provide (1) a literature collection
on this topic, (2) a conceptual characterization of PVA, as well as (3) a consolidated set of practical
recommendations for implementing and using PVA-based visual analytics solutions
Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines
A cross-disciplinary examination of the user behaviours involved in seeking
and evaluating data is surprisingly absent from the research data discussion.
This review explores the data retrieval literature to identify commonalities in
how users search for and evaluate observational research data. Two analytical
frameworks rooted in information retrieval and science technology studies are
used to identify key similarities in practices as a first step toward
developing a model describing data retrieval
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