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Dan Tappan

dblp:92/4159 · also Daniel C. Tappan · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 50% Vision and language · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
spatial reasoning
0.112008
Knowledge-Based Spatial Reasoning for Scene Generation from Text Descriptions · AAAI 2008
Computer vision › Vision and language › 3d vision and language
text-to-3d scene generation
0.112008
Knowledge-Based Spatial Reasoning for Scene Generation from Text Descriptions · AAAI 2008

Methods — techniques the papers use, named apart from their topics

knowledge-based reasoning · 0.1
YearPublicationVenuePosition
2015 A quasi-network-based fly-by-wire simulation architecture for teaching software engineering
abstract
Undisciplined cohesion and coupling undermine countless aspects of quality software. Students, however, unfortunately tend to gravitate toward such approaches. This system mitigates this problem by forcing them to communicate with their components through a well-constrained hierarchical virtual network of networks. The application is a dynamic, plug-and-play aircraft fly-by-wire system that processes a wide variety of commands to design, construct, and manipulate sensors, actuators, controllers, and communication buses concurrently in a flexible model-view-controller architecture. It successfully employs many systems-engineering concepts of modeling, simulation, visualization, and analysis toward the goal of instilling disciplined design, implementation, testing, and evaluation practices in students. In particular, it provides the pedagogical and programmatic frameworks for creating, executing, presenting, and analyzing meaningful test cases as part of formal test plans carried out in controlled experiments via scientific method. The system can be adapted relatively easily to countless other real-world multidisciplinary domains for reuse in other projects. Extensive results from classroom deployments show that students overwhelmingly benefit from this approach.
Dan Tappan
FIE1
2009 Pedagogy-oriented Software Modeling and Simulation of Component-based Physical Systems
Dan Tappan
SEKE1
2008 Knowledge-Based Spatial Reasoning for Scene Generation from Text Descriptions
Dan Tappan
AAAI1