ETS
2006
IEEE
14 years 14 days ago
2006
IEEE
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and dev...
EJIS
2006
14 years 15 days ago
2006
This paper presents the design of a business-aligned information system (IS) from an actor-network perspective, viewing non-human intermediaries jointly as inscriptions and bounda...
DT
2006
14 years 15 days ago
2006
the abstraction level at which designers express systems, enabling new levels of design reuse, and providing for design chain integration ool flows and abstraction levels. The purp...
DT
2006
14 years 15 days ago
2006
process: Designers must define higher abstraction levels that allow system modeling. They must use description languages that handle both hardware and software components to descri...
CTW
2006
14 years 15 days ago
2006
Throughout the history of human-machine systems design has had a technological bias in the sense that design for technology came first with design for humans as a distant second. O...
CSUR
2006
14 years 15 days ago
2006
resents a perspective on existing NoC research. We define the following abstractions: system, network adapter, network, and link to explain and structure the fundamental concepts. ...
CORR
2006
Springer
14 years 15 days ago
2006
Springer
Abstract. This paper defends an augmented cognitively oriented "genericdesign hypothesis": There are both significant similarities between the design activities implement...
COMPUTER
2006
14 years 15 days ago
2006
: In software design, laziness is a virtue: it's better to reuse than to redo. Design patterns are a good illustration. Patterns, a major advance in software architecture, pro...
CII
2006
14 years 16 days ago
2006
Software support for the automotive electrical design process is vital, as many of the safety analysis tasks needing to be carried out, while complex, are repetitive and time cons...
BMCBI
2006
14 years 16 days ago
2006
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...