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Julie S. Chalfant

dblp:120/0875 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2015
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 87% Energy systems and smart grids · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
engineering design
0.212015
Early-Stage Design for Electric Ship · Proc. IEEE 2015
Computational science and engineering › engineering design
ship design
0.212015
Early-Stage Design for Electric Ship · Proc. IEEE 2015

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

simulation-based design · 0.2collaborative design · 0.2
YearPublicationVenuePosition
2015 Early-Stage Design for Electric Ship
abstract
One of the truisms of ship design is that the decisions of greatest impact are made in the early stages of design when the least information and the greatest uncertainty are present. In response to this, ongoing efforts in developing ship design tools are directed toward making more information available sooner and pushing decision points later. The integrated nature of electric ship in which performance of support systems directly affects performance of primary mission systems compounds this concern; design and simulation of support systems are needed earlier, and collaborative design among multiple engineering disciplines is required in the process. This paper reviews the Navy ship design process and recent developments in ship design tools to illuminate the areas in which further development is necessary.
Julie S. Chalfant
Proc. IEEE1
2008 Shape registration via the wavelet transform
abstract
We present a system for the automatic global registration of voxelized data using the wavelet transform. The huge size of current data sets makes such multi-resolution techniques appealing; however, the traditional discrete wavelet transform has the drawback of variance with translation and rotation. We employ the dual-tree complex wavelet transform (Kingsbury, 2003), which carefully adds near invariance to translation and reduced sensitivity to rotation in computationally efficient ways, thus enabling the object matching application. We employ the wavelet transform to accomplish registration by extracting features in a multi-resolutional format, thus rapidly detecting and matching feature points. The method is robust to occlusion, clutter and noise. The efficacy of the algorithm is demonstrated through examples from solid modeling and biomedical applications.
Julie S. Chalfant, Nicholas M. Patrikalakis
Shape Modeling International1