Benchmarking and application of the state-of-the-art uncertainty analysis methods XSUSA and SHARK-X

Annals of Nuclear Energy ◽

10.1016/j.anucene.2016.11.025 ◽

2017 ◽

Vol 101 ◽

pp. 262-269 ◽

Cited By ~ 11

Author(s):

A. Aures ◽

F. Bostelmann ◽

M. Hursin ◽

O. Leray

Keyword(s):

Uncertainty Analysis ◽

State Of The Art ◽

The State ◽

Analysis Methods

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Predicting Bellows Response by Numerical and Theoretical Methods

Journal of Pressure Vessel Technology ◽

10.1115/1.3264794 ◽

1986 ◽

Vol 108 (3) ◽

pp. 334-341 ◽

Cited By ~ 2

Author(s):

C. Becht

Keyword(s):

State Of The Art ◽

The State ◽

Theoretical Methods ◽

Analysis Methods ◽

History Of ◽

Further Development

This paper provides a history of the development of bellows analysis methods from early work in the 1940s to the present. The state of the art is assessed, and directions requiring further development are discussed.

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An Overview of Shallow and Deep Natural Language Processing for Ontology Learning

Ontology Learning and Knowledge Discovery Using the Web ◽

10.4018/978-1-60960-625-1.ch002 ◽

2011 ◽

pp. 16-37 ◽

Cited By ~ 13

Author(s):

Amal Zouaq

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Learning Process ◽

Semantic Analysis ◽

State Of The Art ◽

Knowledge Extraction ◽

The State ◽

Ontology Learning ◽

Analysis Methods

This chapter gives an overview over the state-of-the-art in natural language processing for ontology learning. It presents two main NLP techniques for knowledge extraction from text, namely shallow techniques and deep techniques, and explains their usefulness for each step of the ontology learning process. The chapter also advocates the interest of deeper semantic analysis methods for ontology learning. In fact, there have been very few attempts to create ontologies using deep NLP. After a brief introduction to the main semantic analysis approaches, the chapter focuses on lexico-syntactic patterns based on dependency grammars and explains how these patterns can be considered as a step towards deeper semantic analysis. Finally, the chapter addresses the “ontologization” task that is the ability to filter important concepts and relationships among the mass of extracted knowledge.

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The State-of-the-Art of Cost Uncertainty Analysis

The Journal of Cost Analysis ◽

10.1080/08823871.1984.10462334 ◽

1984 ◽

Vol 1 (1) ◽

pp. 149-174 ◽

Cited By ~ 4

Author(s):

Gerald R. McNichols

Keyword(s):

Uncertainty Analysis ◽

State Of The Art ◽

The State ◽

Cost Uncertainty

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Practical Picture Processing

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100051700 ◽

1974 ◽

Vol 32 ◽

pp. 338-339

Author(s):

T. A. Welton

Keyword(s):

Radiation Damage ◽

Coherence Length ◽

Spatial Information ◽

State Of The Art ◽

Coherent Radiation ◽

The State ◽

Energy Spread ◽

Electron Micrograph ◽

Picture Processing ◽

Molecular Skeleton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.

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