No description available.

No description available.

Graffiti is a near constant problem for historic structures and monuments, particularly in urban environments. Currently available non-destructive techniques are not always adequate for graffiti removal. Acrylic spray paints, the most common graffiti material, are composed of polymers which are subject to degradation by ultraviolet light. The feasibility of using this mechanism as a tool for graffiti removal was explored through practical experiments. Red acrylic paint was sprayed onto samples Indiana limestone which were then exposed to UV-B light sources for two, four, and six weeks. Following exposure, samples were scrubbed with acetone, a common solvent used in graffiti removal. Relative differences in the paint removal on the treated and untreated sides were observed, with more paint being removed from the treated sides in some cases. Additional samples were coated with titanium dioxide and exposed to ultraviolet light, yielded a greater level of overall paint removal. It was concluded that this mechanism offers promise and warrants further study. / Department of Architecture

No description available.

No description available.

Thesis, PlanB (M.S.)--University of Wisconsin--Stout, 1999. / Includes bibliographical references.

Thesis (M.S.)--University of Wisconsin--Madison, 1965. / eContent provider-neutral record in process. Description based on print version record. Bibliography: l. 106-112.

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Statistical data about cities, regions and at country level is collected for various purposes and from various institutions. Yet, while access to high quality and recent such data is crucial both for decision makers as well as for the public, all to often such collections of data remain isolated and not re-usable, let alone properly integrated. In this paper we present the Open City Data Pipeline, a focused attempt to collect, integrate, and enrich statistical data collected at city level worldwide, and republish this data in a reusable manner as Linked Data. The main feature of the Open City Data Pipeline are: (i) we integrate and cleanse data from several sources in a modular and extensible, always up-to-date fashion; (ii) we use both Machine Learning techniques as well as ontological reasoning over equational background knowledge to enrich the data by imputing missing values, (iii) we assess the estimated accuracy of such imputations per indicator. Additionally, (iv) we make the integrated and enriched data available both in a we browser interface and as machine-readable Linked Data, using standard vocabularies such as QB and PROV, and linking to e.g. DBpedia. Lastly, in an exhaustive evaluation of our approach, we compare our enrichment and cleansing techniques to a preliminary version of the Open City Data Pipeline presented at ISWC2015: firstly, we demonstrate that the combination of equational knowledge and standard machine learning techniques significantly helps to improve the quality of our missing value imputations; secondly, we arguable show that the more data we integrate, the more reliable our predictions become. Hence, over time, the Open City Data Pipeline shall provide a sustainable effort to serve Linked Data about cities in increasing quality. / Series: Working Papers on Information Systems, Information Business and Operations

A selection of corroded, painted and lacquered metals have been subjected to high-powered, pulsed TEA C02-laser radiation to investigate self-limiting cleaning and treatment processes. Changes in the surface chemistry were observed and recorded using a variety of surface analysis techniques including X-ray Powder Diffraction, Auger Electron Spectroscopy and X-ray Photoelectron Spectroscopy. Changes in surface appearance were recorded using colour macro-photography and Scanning Electron Microscopy. The effects of both plasma and sub-plasma laser fluences were investigated.