Transnationals and mining development in Bolivia, Chile and Perú

Includes bibliography

The role of the public sector and transnational corporations in the mining development of Latin America

Includes bibliography

Mining development and the origin of capital

Includes bibliography

Tongass National Forest (N.F.), Quartz Hill road access, bulk sampling permit D,Dapp,Dsup,F,Fapp; Draft mining development concepts B1; Mining development concepts : environmental impact statement.

Mode of access: Internet.

Small-scale mining: a new entrepreneurial approach

Includes bibliography

De l’or et des putes : vie et mort d’un village de 'squatters' abitibien

Cette étude s’intéresse au village de squatters de Roc-d’Or, surnommé Putainville, qui apparaît en 1936 avant d’être détruit par le gouvernement provincial au milieu des années 1940. Notre but est de comprendre pourquoi cette agglomération, qui est érigée illégalement sur les terrains gouvernementaux et qui est réputée pour être un important foyer de déviance, est relativement tolérée pendant une décennie avant que les résidences soient détruites ou déménagées à Malartic. D’abord, nous expliquons pourquoi cette agglomération, sans reconnaissance légale et dans laquelle les résidents ne sont pas propriétaires des terrains sur lesquels leurs bâtiments sont érigés, apparaît en Abitibi-Témiscamingue au début des années 1930. Ensuite, nous nous intéressons à l’aspect physique et à la population de Roc-d’Or. Le taux de masculinité, la mobilité, la diversité d’emploi et l’origine ethnique des résidents sont analysés. De plus, nous nous penchons sur la mauvaise réputation de Putainville : autant le contrôle judiciaire que la présence du monde interlope sont étudiés. Finalement, comme les mœurs légères des résidents et l’influence du curé de Malartic sont souvent considérées comme étant à l’origine de la décision d’éliminer ce village, nous évaluons la pertinence de cette croyance et nous déterminons si d’autres motifs, notamment monétaire ou politique, sont aussi entrés en ligne de compte.

Política de desenvolvimento e o setor de mineração: análise de discursos do governo do Peru no período de 1990 a 2009

Os estudos sobre desenvolvimento, sem dúvida, se mantiveram como um dos últimos bastiões do modernismo nas ciências sociais (Rapley, 2004). Muitos dos dilemas chave em estudos contemporâneos sobre desenvolvimento se centraram nas disjuntivas entre inovação teórica, política e prática (Simon, 2003). No entanto, a discussão que envolve a relação entre desenvolvimento e mineração, que interessa neste estudo, ainda permanece acrítica dentro da literatura dominante. Segundo Graulau (2008), o tema de mineração encontra-se num vaivém entre o favoritismo e a oposição. O estudo sob o ponto de vista normativo da mineração no campo de desenvolvimento mostra a mentalidade econômica de longa data que prevalece nesse campo. No Peru as reformas neoliberais implantadas desde a década 1990 têm promovido fortemente o setor de mineração. Os investimentos nacionais e estrangeiros, o volume das exportações e impostos certamente têm influenciado favoravelmente na economia em termos macroeconômicos, obtendo quantidades consideráveis de divisas (UNCTAD, 2008). Não obstante, a grande mineração parece não ter beneficiado as comunidades envolvidas com a extração de minérios (Barrantes, 2005; Glave e Kuramoto, 2007; Zegarra; Orihuela e Paredes, 2007). A quantidade e gravidade dos conflitos que vem acontecendo evidenciam a resistência ao setor, frente à ação discursiva do Estado peruano sobre o “desenvolvimento” que assegura o que a mineração traz. Neste contexto este estudo tem como objetivo analisar as práticas discursivas das políticas de mineração peruana em relação a construção do discurso de desenvolvimento no período compreendido entre 1990-2009. Com esse objetivo, foi necessário abordar primeiramente as principais teorias sobre desenvolvimento, mineração e mineração no Peru. No que diz respeito à metodologia o presente estudo utilizou duas técnicas de análise: a Análise Crítica de Discurso, baseado no método tridimensional proposto por Fairclough (2001), para realizar a análise de três discursos de representantes da política de mineração peruana, a segunda abordagem utiliza a Análise de Conteúdo de Bardin (2009), para examinar os artigos relacionados à política de mineração entre as principais revistas especializadas do setor–Mineria e Desde Adentro. Foram utilizadas também categorias de análise constantes e convergentes ao conceito de desenvolvimento para orientar a presente pesquisa. Finalmente as conclusões sugerem que as políticas de mineração reproduzidas pelas autoridades do Estado peruano introduziram práticas discursivas sobre desenvolvimento sustentável e que essas se mantêm relacionadas com as novas ordens de discurso: Responsabilidade Social, Minerção Sustentável, Mineração moderna, Gestão ambiental.

Metodología para la evaluación del impacto del ruido ambiental producido por la maquinaria en minería a cielo abierto

En muchos países el ruido se ha convertido en un gran problema para la salud de la población, no solo en el puesto de trabajo sino también durante la vida cotidiana. Este aumento en la contaminación acústica es producido en gran medida a la industrialización que se ha producido en estos países y a la mayor cercanía entre zonas industriales, zonas de ocio y zonas de descanso. La industria minera es una de las actividades industriales que más pueden contribuir al aumento de la contaminación acústica debido a la naturaleza de las operaciones que se llevan a cabo en las explotaciones. Por ello este documento tiene por objetivo realizar una metodología para la evaluación del ruido ambiental producido por la maquinaria utilizada en las explotaciones a cielo abierto. Además se desarrolla la aplicación de la metodología establecida en un caso práctico determinando el mapa de ruido de una cantera a cielo abierto. Abstract Noise has become a very important problem for human health in many countries, not only in the working place but in daily life as well. This raising in the acoustic pollution is mainly due to the industralization generated in these countries and also to the greater proximity in the industrial, leisure and residential areas. Mining industry is one of the industrial activities that contribute more to the raising of acoustic pollution due to the nature of the works which are taking place in the mining development. That is why the purpose of this project is to develop a methodology to evaluate the enviromental noise produced by the machinery used in surface mining. Also a case study has been developed to apply the methodology described to a surface quarry operation.

Heat Demand Forecasting Models’ Development: Use of Data Mining Tools in SQL Server Analysis Services

This thesis introduces heat demand forecasting models which are generated by using data mining algorithms. The forecast spans one full day and this forecast can be used in regulating heat consumption of buildings. For training the data mining models, two years of heat consumption data from a case building and weather measurement data from Finnish Meteorological Institute are used. The thesis utilizes Microsoft SQL Server Analysis Services data mining tools in generating the data mining models and CRISP-DM process framework to implement the research. Results show that the built models can predict heat demand at best with mean average percentage errors of 3.8% for 24-h profile and 5.9% for full day. A deployment model for integrating the generated data mining models into an existing building energy management system is also discussed.

Design and Development of data mining models for the predictions of manpower placement in the technical Domain

Data mining is one of the hottest research areas nowadays as it has got wide variety of applications in common man’s life to make the world a better place to live. It is all about finding interesting hidden patterns in a huge history data base. As an example, from a sales data base, one can find an interesting pattern like “people who buy magazines tend to buy news papers also” using data mining. Now in the sales point of view the advantage is that one can place these things together in the shop to increase sales. In this research work, data mining is effectively applied to a domain called placement chance prediction, since taking wise career decision is so crucial for anybody for sure. In India technical manpower analysis is carried out by an organization named National Technical Manpower Information System (NTMIS), established in 1983-84 by India's Ministry of Education & Culture. The NTMIS comprises of a lead centre in the IAMR, New Delhi, and 21 nodal centres located at different parts of the country. The Kerala State Nodal Centre is located at Cochin University of Science and Technology. In Nodal Centre, they collect placement information by sending postal questionnaire to passed out students on a regular basis. From this raw data available in the nodal centre, a history data base was prepared. Each record in this data base includes entrance rank ranges, reservation, Sector, Sex, and a particular engineering. From each such combination of attributes from the history data base of student records, corresponding placement chances is computed and stored in the history data base. From this data, various popular data mining models are built and tested. These models can be used to predict the most suitable branch for a particular new student with one of the above combination of criteria. Also a detailed performance comparison of the various data mining models is done.This research work proposes to use a combination of data mining models namely a hybrid stacking ensemble for better predictions. A strategy to predict the overall absorption rate for various branches as well as the time it takes for all the students of a particular branch to get placed etc are also proposed. Finally, this research work puts forward a new data mining algorithm namely C 4.5 * stat for numeric data sets which has been proved to have competent accuracy over standard benchmarking data sets called UCI data sets. It also proposes an optimization strategy called parameter tuning to improve the standard C 4.5 algorithm. As a summary this research work passes through all four dimensions for a typical data mining research work, namely application to a domain, development of classifier models, optimization and ensemble methods.