Transformational modeling

Xem 1-20 trên 210 kết quả Transformational modeling
  • (BQ) Part 2 book "Handbook of medical imaging" presents the following contents: Registration, visualization, compression storage and communication, visualization pathways in biomedicine, spatial transformation models, registration for image guided surgery, morphometric methods for virtual endoscopy,..

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  • Description: Using GIS to create descriptive models of the world --representations of reality as it exists. Analysis: Using GIS to answer a question or test an hypothesis. Often involves creating a new conceptual output layer, (or table or chart), the values of which are some transformation of the values in the descriptive input layer. --e.g. buffer or slope or aspect layers

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  • The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in several areas of research and industry. As DWT provides both octavescale frequency and spatial timing of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The DWT algorithms were initially based on the compactly supported conjugate quadrature filters (CQFs). However, a drawback in CQFs is due to the nonlinear phase effects such as spatial dislocations in multi-scale analysis.

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  • 3.1 Theory and Principles Harold Moore 3.2 Power Transformers H. Jin Sim and Scott H. Digby 3.3 Distribution Transformers Dudley L. Galloway 3.4 Underground Distribution Transformers Dan Mulkey 3.5 Dry Type Transformers Paulette A. Payne 3.6 Step-Voltage Regulators Craig A. Colopy 3.7 Reactors Richard Dudley, Antonio Castanheira, and Michael Sharp 3.8 Instrument Transformers Randy Mullikin and Anthony J. Jonnatti 3.9 Transformer Connections Dan D. Perco 3.10 LTC Control and Transformer Paralleling James H. Harlow 3.11 Loading Power Transformers Robert F. Tillman, Jr. 3.

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  • New analytical strategies and techniques are necessary to meet requirements of modern technologies and new materials. In this sense, this book provides a thorough review of current analytical approaches, industrial practices, and strategies in Fourier transform application.

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  • Chapter 4: Overview of Use-Case-Driven Process: Transform use-case model into analysis model (1/4); Transform use-case model into analysis model (2/4); The analysis model grows incrementally, for each iteration, select a set of use cases

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  • We propose a novel technique of learning how to transform the source parse trees to improve the translation qualities of syntax-based translation models using synchronous context-free grammars. We transform the source tree phrasal structure into a set of simpler structures, expose such decisions to the decoding process, and find the least expensive transformation operation to better model word reordering.

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  • This paper describes a numerical model for the simulation of near shore wave dynamics  and bottom topography change. In this part, the nearshore wave dynamics is simulated by solving  the  depth  integrated  Boussinesq  approximation  equations  for  nearshore  wave  transformation  together with continuity equation with a Crank‐Nicholson scheme. The wave runup on beaches is  simulated by a scheme, similar to the Volume Of Fluid (VOF) technique.

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  • An important contribution to the debates surrounding the evolution of the European welfare state model, this volume investigates the role that “ideational leadership” has played in the passing of structural reforms in the change-resistant German welfare state. Based on in-depth case studies of individual reforms in health care, pensions, and unemployment insurance since the early 1990s, Stiller illuminates the ways in which Germany has made the transition from its Bismarckian past to a hybrid welfare state....

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  • This paper presents empirical studies and closely corresponding theoretical models of the performance of a chart parser exhaustively parsing the Penn Treebank with the Treebank’s own CFG grammar. We show how performance is dramatically affected by rule representation and tree transformations, but little by top-down vs. bottom-up strategies.

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  • We present a syntax-based statistical translation model. Our model transforms a source-language parse tree into a target-language string by applying stochastic operations at each node. These operations capture linguistic differences such as word order and case marking. Model parameters are estimated in polynomial time using an EM algorithm. The model produces word alignments that are better than those produced by IBM Model 5. is conditioned only on word classes and positions in the string, and the duplication and translation are conditioned only on the word identity. ...

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  • (BQ) Ebook Signals, Systems, and Transforms is intended to be used primarily as a text for junior-level students in engineering curricula and for self-study by practicing engineers. It assumed that the reader has had some introduction to signal models, system models, and differ-ential equations (as in, for example, circuits courses and courses in mathematics), and some laboratory work with physical systems.

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  • High frequency transformer, design and modelling using finite element technique resentresearchis focussedon finding a general model of an exact transformerequivalentcircuit to cover the wide frequencyrange.The thesis is completedwith a conclusion.

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  • The fundamental objects that we deal with in calculus are functions. This chapter prepares the way for calculus by discussing the basic ideas concerning functions, their graphs, and ways of transforming and combining them. We stress that a function can be represented in different ways: by an equation, in a table, by a graph, or in words.

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  • In the quest for knowledge, it is not uncommon for researchers to push the limits of simulation techniques to the point where they have to be adapted or totally new techniques or approaches become necessary. True multiscale modeling techniques are becoming increasingly necessary given the growing interest in materials and processes on which large-scale properties are dependent or that can be tuned by their low-scale properties. An example would be nanocomposites, where embedded nanostructures completely change the matrix properties due to effects occurring at the atomic level.

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  • This paper describes the conversion of a Hidden Markov Model into a sequential transducer that closely approximates the behavior of the stochastic model. This transformation is especially advantageous for part-of-speech tagging because the resulting transducer can be composed with other transducers that encode correction rules for the most frequent tagging errors. The speed of tagging is also improved. The described methods have been implemented and successfully tested on six languages.

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  • In Design of high density transformers for high frequency high power converters, the abovementioned issues of high-frequency transformers are explored, particularly in regards to high-power converter applications. Loss calculations accommodating resonant operating waveform and Litz wire windings are explored. Leakage inductance modeling for large-number-of-stand Litz wire windings is proposed. The optimal design procedure based on the models is developed.

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  • This paper describes a syntactic representation for modeling speech repairs. This representation makes use of a right corner transform of syntax trees to produce a tree representation in which speech repairs require very few special syntax rules, making better use of training data. PCFGs trained on syntax trees using this model achieve high accuracy on the standard Switchboard parsing task.

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  • This paper investigates transforms of split dependency grammars into unlexicalised context-free grammars annotated with hidden symbols. Our best unlexicalised grammar achieves an accuracy of 88% on the Penn Treebank data set, that represents a 50% reduction in error over previously published results on unlexicalised dependency parsing.

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  • This paper describes a novel approach to generate potential foreign-accented phonetic transcriptions using phonological rewrite rules. For each pair of a native language (Li) and a target language (L2), a set of postlexical rules is designed to transform canonical phonetic dictionaries of L2 into adapted dictionaries for native Li speakers. Some general considerations on the design of such a rule-based system are presented.

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