A review of traditional Hungarian products’ reputation with a special focus on consumer behaviour

The quality of traditional and regional products is essentially determined by geography, history and culture. Being protected by a distinctive quality label (based on the geographical origin, traditions and special features) may enhance traditional Hungarian and regional products’ competitiveness. Based on our survey’s questionnaire results (N = 425) (basic statistics, factor and cluster analysis) it can be proved that consumers are able to identify and appreciate Hungarian products. They also highly value traditional quality.traditional Hungarian products, consumer survey, reputation, value added, Institutional and Behavioral Economics, Research Methods/ Statistical Methods,

Images in felt

This written thesis documents the information used and applied in the process of creating the Images in Felt body of work. The document begins with a forward which briefly discusses personal history, and then is followed by the remainder of the paper which is broken up into three seperate parts. The first part is entitled History of Felt . This section contains relevant historical and present day facts about felt, as well as information on the Bedouin cultures that have used simple textile techniques throughout history. The second part, entitled Thesis Techniques , describes the various processes used in the making of the body of work. This leads to the final chapter, entitled Images in Felt : The Body of Work , which discusses each of the felted pieces of this body of work in both technical and conceptual aspects

A New Approach for the Analysis of Impact-Echo Data

The recently developed impact-echo (IE) method, which utilizes an impact and subsequent displacement monitoring of the concrete surface, appears promising for the inspection of concrete structures. IE has been shown to be particularly suitable for void, delamination, and cracking detection in hardened concrete structures including bridge decks since deep penetration into the structure and one-sided accessibility are obtained. For this method to be reliable, however, accurate measurements of peak frequencies in the magnitude spectrum of the frequency domain must be made. In addition, the interpretation of confusing spectrums may be required. The first part of this paper reviews the existing impact echo technique, including typical signal generation and capture possibilities as well as the accepted signal processing. Next, an alternative approach to signal processing is developed; this approach is based on a brief literature review and laboratory experiments. It is proposed that this approach, based on the spacing of peaks in the magnitude spectrum may reduce the uncertainty of impact echo signal analysis

Numerical Simulation of Water Circulation In Marinas of Complex Geometry By A Multi-block Technique

International audienceThis paper presents a finite-volume method for solving the Shallow-Water Equations (SWE) in a curvilinear coordinate system on an arbitrary overlapping composite grids. A multi-block technique is implemented. The academic tests are also presented to validate the proposed technique. A typical application of this technique is the simulation of water circulation in marinas and harbor

Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks

Ultrasonic pulse velocity technique is one of the most popular non-destructive techniques used in the assessment of concrete properties. However, it is very difficult to accurately evaluate the concrete compressive strength with this method since the ultrasonic pulse velocity values are affected by a number of factors, which do not necessarily influence the concrete compressive strength in the same way or to the same extent. This paper deals with the analysis of such factors on the velocity-strength relationship. The relationship between ultrasonic pulse velocity, static and dynamic Young's modulus and shear modulus was also analyzed. The influence of aggregate, initial concrete temperature, type of cement, environmental temperature, and w/c ratio was determined by our own experiments. Based on the experimental results, a numerical model was established within the Matlab programming environment. The multilayer feed-forward neural network was used for this purpose. The paper demonstrates that artificial neural networks can be successfully used in modelling the velocity-strength relationship. This model enables us to easily and reliably estimate the compressive strength of concrete by using only the ultrasonic pulse velocity value and some mix parameters of concrete. (C) 2008 Elsevier B.V. All rights reserved