West German bank advertising and the East German public:a study in intercultural advertising communication

In the wake of German unification, initial advertising by many West German companies in the new federal states (the former German Democratic Republic - GDR) proved largely ineffective and many advertisers were forced to change their approach to this new market. The advertising task proved even more complicated for banks, because banking existed only at the most basic level in the former GDR. Furthermore, under the old regime, "capitalist" banks represented the very antithesis of the GDR's founding ideology. This analysis of advertising by West German banks - in particular Dresdner Bank - in the new federal states brings together elements of discourse and communication theory, particularly Relevance Theory [Sperber and Wilson 1986], with the overall objective of designing a model of intercultural advertising communication. A series of simple association tasks based on texts from pre-Wende advertisements was completed by a sample of advertisees (as they are called in the study) in Leipzig. The research shows the lack of relevance between the advertiser's understanding of concepts such as "credit", "bank" etc. and the associations which these concepts have for the sample of advertisees. Further analysis reveals that this lack of relevance occurs because advertisers and advertisees assign differing contexts to these concepts when they communicate through advertising. The study concludes that these different contexts, governed by the contrasting ideological, economic and linguistic environments of the advertisers and advertisees, interfere with the effective communication of the advertising message.

An urban informatics approach to smart city learning in architecture and urban design education

This study aims to redefine spaces of learning to places of learning through the direct engagement of local communities as a way to examine and learn from real world issues in the city. This paper exemplifies Smart City Learning, where the key goal is to promote the generation and exchange of urban design ideas for the future development of South Bank, in Brisbane, Australia, informing the creation of new design policies responding to the needs of local citizens. Specific to this project was the implementation of urban informatics techniques and approaches to promote innovative engagement strategies. Architecture and Urban Design students were encouraged to review and appropriate real-time, ubiquitous technology, social media, and mobile devices that were used by urban residents to augment and mediate the physical and digital layers of urban infrastructures. Our study’s experience found that urban informatics provide an innovative opportunity to enrich students’ place of learning within the city.

Developments in court to court communications in International insolvency cases

As business increasingly operates on a global basis, courts are called upon more often to adjudicate insolvency cases with international connections. The financial collapse of Lehman Brothers Holding Inc (‘Lehman Holdings’) provides a recent example where courts across many jurisdictions were called upon to determine issues arising from a multistate insolvent enterprise. Lehman Holdings filed for Chapter 11 bankruptcy protection in the United States on 15 September 2008. Lehman Brothers was the fourth largest investment bank in America and the largest company ever to file for bankruptcy in the United States. However the effects of its collapse were felt worldwide, including within Australia.

Monetary policy rules and estimated reaction functions for the European Central Bank

This thesis studies the interest-rate policy of the ECB by estimating monetary policy rules using real-time data and central bank forecasts. The aim of the estimations is to try to characterize a decade of common monetary policy and to look at how different models perform at this task.The estimated rules include: contemporary Taylor rules, forward-looking Taylor rules, nonlinearrules and forecast-based rules. The nonlinear models allow for the possibility of zone-like preferences and an asymmetric response to key variables. The models therefore encompass the most popular sub-group of simple models used for policy analysis as well as the more unusual non-linear approach. In addition to the empirical work, this thesis also contains a more general discussion of monetary policy rules mostly from a New Keynesian perspective. This discussion includes an overview of some notable related studies, optimal policy, policy gradualism and several other related subjects. The regression estimations are performed with either least squares or the generalized method of moments depending on the requirements of the estimations. The estimations use data from both the Euro Area Real-Time Database and the central bank forecasts published in ECB Monthly Bulletins. These data sources represent some of the best data that is available for this kind of analysis. The main results of this thesis are that forward-looking behavior appears highly prevalent, but that standard forward-looking Taylor rules offer only ambivalent results with regard to inflation. Nonlinear models are shown to work, but on the other hand do not have a strong rationale over a simpler linear formulation. However, the forecasts appear to be highly useful in characterizing policy and may offer the most accurate depiction of a predominantly forward-looking central bank. In particular the inflation response appears much stronger while the output response becomes highly forward-looking as well.

Design and Application of a new Multiscale Multidirectional Non-subsampled Filter Bank

We propose a new method for design of computationally efficient nonsubsampled multiscale multidirectional filter bank with perfect reconstruction (PR). This filter bank is composed of two nonsubsampled filter banks, for multiscale decomposition and for directional expansion. For multiscale decomposition, we transform the 1-D equivalent subband filters directly into 2-D equivalent subband filters. The computational cost is considerably reduced by avoiding the computation of 2-D convolutions. The multidirectional decomposition utilizes fan filters. A new method for design of 2-D zero phase FIR fan filter transformation function is developed. This method also aids the transformation of a 1-D filter bank to a 2-D multidirectional filter bank. The potential application of the proposed filter bank is illustrated by comparing the image denoising performance of the proposed filter bank with other design method that exist in available literature.

Iterated stochastic filters with additive updates for dynamic system identification: Annealing-type iterations and the filter bank

A nonlinear stochastic filtering scheme based on a Gaussian sum representation of the filtering density and an annealing-type iterative update, which is additive and uses an artificial diffusion parameter, is proposed. The additive nature of the update relieves the problem of weight collapse often encountered with filters employing weighted particle based empirical approximation to the filtering density. The proposed Monte Carlo filter bank conforms in structure to the parent nonlinear filtering (Kushner-Stratonovich) equation and possesses excellent mixing properties enabling adequate exploration of the phase space of the state vector. The performance of the filter bank, presently assessed against a few carefully chosen numerical examples, provide ample evidence of its remarkable performance in terms of filter convergence and estimation accuracy vis-a-vis most other competing filters especially in higher dimensional dynamic system identification problems including cases that may demand estimating relatively minor variations in the parameter values from their reference states. (C) 2014 Elsevier Ltd. All rights reserved.