113,986 research outputs found
A Taxonomy of Workflow Management Systems for Grid Computing
With the advent of Grid and application technologies, scientists and
engineers are building more and more complex applications to manage and process
large data sets, and execute scientific experiments on distributed resources.
Such application scenarios require means for composing and executing complex
workflows. Therefore, many efforts have been made towards the development of
workflow management systems for Grid computing. In this paper, we propose a
taxonomy that characterizes and classifies various approaches for building and
executing workflows on Grids. We also survey several representative Grid
workflow systems developed by various projects world-wide to demonstrate the
comprehensiveness of the taxonomy. The taxonomy not only highlights the design
and engineering similarities and differences of state-of-the-art in Grid
workflow systems, but also identifies the areas that need further research.Comment: 29 pages, 15 figure
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Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research
Brain-Switches for Asynchronous Brain−Computer Interfaces: A Systematic Review
A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a synchronous BCI system, in that, BCI commands can be generated whenever the user wants. However, the relatively low performance of an asynchronous BCI system is problematic because redundant BCI commands are required to correct false-positive operations. To significantly reduce the number of false-positive operations of an asynchronous BCI system, a two-step approach has been proposed using a brain-switch that first determines whether the user wants to use an asynchronous BCI system before the operation of the asynchronous BCI system. This study presents a systematic review of the state-of-the-art brain-switch techniques and future research directions. To this end, we reviewed brain-switch research articles published from 2000 to 2019 in terms of their (a) neuroimaging modality, (b) paradigm, (c) operation algorithm, and (d) performance
A taxonomy of video lecture styles
Many educational organizations are employing instructional video in their
pedagogy, but there is limited understanding of the possible presentation
styles. In practice, the presentation style of video lectures ranges from a
direct recording of classroom teaching with a stationary camera and screencasts
with voice-over, up to highly elaborate video post-production. Previous work
evaluated the effectiveness of several presentation styles, but there has not
been any consistent taxonomy, which would have made comparisons and
meta-analyses possible. In this article, we surveyed the research literature
and we examined contemporary video-based courses, which have been produced by
diverse educational organizations and teachers across various academic
disciplines. We organized video lectures in two dimensions according to the
level of human presence and according to the type of instructional media. In
addition to organizing existing video lectures in a comprehensive way, the
proposed taxonomy offers a design space that facilitates the choice of a
suitable presentation style, as well as the preparation of new ones.Comment: 14 pages, 5 figure
Task analysis of discrete and continuous skills: a dual methodology approach to human skills capture for automation
There is a growing requirement within the field of intelligent automation for a formal methodology to capture and classify explicit and tacit skills deployed by operators during complex task performance. This paper describes the development of a dual methodology approach which recognises the inherent differences between continuous tasks and discrete tasks and which proposes separate methodologies for each. Both methodologies emphasise capturing operators’ physical, perceptual, and cognitive skills, however, they fundamentally differ in their approach. The continuous task analysis recognises the non-arbitrary nature of operation ordering and that identifying suitable cues for subtask is a vital component of the skill. Discrete task analysis is a more traditional, chronologically ordered methodology and is intended to increase the resolution of skill classification and be practical for assessing complex tasks involving multiple unique subtasks through the use of taxonomy of generic actions for physical, perceptual, and cognitive actions
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