Manual de buenas prácticas para la persecución de los delitos contra la propiedad intelectual industrial

Estos delitos son un fraude a la ciudadanía en su conjunto. No perjudican a los creadores o a las marcas solamente, si no que lo hacen a todo el tejido industrial Limitan las posibilidades de crecimiento y desarrollo . Debilitan las garantías de los consumidores.

Nau industrial per a Supercal al Masnou

Per conèixer més dades sobre el projecte podeu adreçar-vos a la pàgina web següent: www.rga.es

Biblioteca de l’Escola Tècnica Superior d’Enginyeria Industrial de Barcelona. Memòria 2013

Preprint

Biblioteca de l’Escola Tècnica Superior d’Enginyeria Industrial de Barcelona. Memòria 2012

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Biblioteca de l’Escola Tècnica Superior d’Enginyeria Industrial de Barcelona. Memòria 2011

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Biblioteca de l’Escola Tècnica Superior d’Enginyeria Industrial de Barcelona. Memòria 2010

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Biblioteca de l’Escola Tècnica Superior d’Enginyeria Industrial de Barcelona. Memòria 2009

Preprint

Memòria 2011 : Biblioteca de l’Escola Universitàriad’Enginyeria Tècnica Industrial de Barcelona

Postprint (published version)

Delitos contra la propiedad industrial y la falsificación de marcas

Marc legal sobre el delicte de falsificació de marques.

Delitos contra la propiedad industrial y la falsificación de marcas

ANDEMA es una asociación sin ánimo de lucro creada en 1988 por el Consejo Superior de Cámaras de Comercio, Industria y Navegación de España, junto a ocho empresas que creían firmemente en los derechos de propiedad industrial e intelectual.Marca y Falsificación: situación actual: fenómeno criminal mundial; altamente profesionalizado; muy opaco en sus eslabones superiores de importación y distribución; conexiones internacionales; gran conocimiento del comercio internacional y de los puntos flacos en Aduanas.

Evolució i anàlisi del metabolisme ambiental del polígon industrial. El cas de Maó (Menorca)

El polígon industrial de Maó, POIMA, és un dels principals motors econòmics de l’illa de Menorca. La Universitat Autònoma de Barcelona (UAB) en col·laboració amb l’Observatori Socioambiental de Menorca (OBSAM), ha fet un projecte d’anàlisi de l’evolució històrica i del metabolisme actual del polígon. L’estudi es centra en 5 vectors; usos del sòl, energètic, hídric, materials i mobilitat dels quals les dades han estat obtingudes a partir d’enquestes, entrevistes a les empreses i observacions directes semi-quantitatives. Com a resultat es presenten diverses propostes de millora per augmentar l’eficiència de POIMA, analitzant el potencial d’autosuficiència energètic i hídric, reduint l’impacte ambiental i reutilitzant els residus com a recursos entre empreses, sinèrgies.

Why not all young firms invest in R&D

This article aims to analyze the different impact that some factors may exert on the probability that a small young firm invests intensively in R&D. Recently, an increasing amount of the literature makes reference to the vital role played by a small number of young firms in generating jobs and increasing efficiency levels. However, not all new firms invest in R&D. Departing from the definition of YICs (firms younger than 6 years old, fewer than 250 employees and with more than 15% of their revenues invested in R&D activities), and with an extensive sample of the Spanish Community Innovation Survey between 2004- 2010, we try to determine: i) those factors that cause firms to become YICs (innovative young small firms) or YNICs (moderately innovative young small firms); ii) what is the difference in the impact of those factors between YICs and YNICs. Our results show that factors such as initial innovation capacity and cooperation in R&D projects enhance the probability of becoming a YIC. Nevertheless, factors such as export potential and market uncertainty may influence the decision to invest moderately and become a YNIC. Keywords: Innovation, Policy, YICs. JEL Classifications: O31, D21

Subjectively adapted high capacity lossless image data hiding based on prediction errors

This article reports on a lossless data hiding scheme for digital images where the data hiding capacity is either determined by minimum acceptable subjective quality or by the demanded capacity. In the proposed method data is hidden within the image prediction errors, where the most well-known prediction algorithms such as the median edge detector (MED), gradient adjacent prediction (GAP) and Jiang prediction are tested for this purpose. In this method, first the histogram of the prediction errors of images are computed and then based on the required capacity or desired image quality, the prediction error values of frequencies larger than this capacity are shifted. The empty space created by such a shift is used for embedding the data. Experimental results show distinct superiority of the image prediction error histogram over the conventional image histogram itself, due to much narrower spectrum of the former over the latter. We have also devised an adaptive method for hiding data, where subjective quality is traded for data hiding capacity. Here the positive and negative error values are chosen such that the sum of their frequencies on the histogram is just above the given capacity or above a certain quality.

High capacity audio watermarking using the high frequency band of the wavelet domain

This paper proposes a novel high capacity robust audio watermarking algorithm by using the high frequency band of the wavelet decomposition at which the human auditory system (HAS) is not very sensitive to alteration. The main idea is to divide the high frequency band into frames and, for embedding, to change the wavelet samples depending on the average of relevant frame¿s samples. The experimental results show that the method has a very high capacity (about 11,000 bps), without significant perceptual distortion (ODG in [¿1 ,0] and SNR about 30dB), and provides robustness against common audio signal processing such as additive noise, filtering, echo and MPEG compression (MP3).