4 resultados para human impact

em Dalarna University College Electronic Archive


Relevância:

60.00% 60.00%

Publicador:

Resumo:

This report is the first presentation of the project 'Falun above from Falun under' and comprises two reports on ongoing work within the project and two individual articles on dating wood from older parts of the mine and buildings. The main aims of the project were to reconstruct the landscape surrounding Falu Copper mine before mining activity started and to determine how increasing activity in the area affected the environment, and whether this could be measured as a indicator of increasing human impact in the area.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

This report is the second presentation of the project ‘Falun above from Falun under’ and comprises one report on ongoing work within the project. The main aims of this particular project are to reconstruct the landscape surrounding Falu Copper mine before mining activity started and to determine how increasing activity in the area affected the environment, and whether this could be measured as an indicator of increasing human impact in the area. This report presents the mapping and investigation of quaternary deposits and landscape analysis, the results from cores taken at two lake sites, Önsbacksdammen and Stora Vällan, 14C dating on selected seeds, and planning of continued research within the project.

Relevância:

30.00% 30.00%

Publicador:

Resumo:

Condition monitoring of wooden railway sleepers applications are generallycarried out by visual inspection and if necessary some impact acoustic examination iscarried out intuitively by skilled personnel. In this work, a pattern recognition solutionhas been proposed to automate the process for the achievement of robust results. Thestudy presents a comparison of several pattern recognition techniques together withvarious nonstationary feature extraction techniques for classification of impactacoustic emissions. Pattern classifiers such as multilayer perceptron, learning cectorquantization and gaussian mixture models, are combined with nonstationary featureextraction techniques such as Short Time Fourier Transform, Continuous WaveletTransform, Discrete Wavelet Transform and Wigner-Ville Distribution. Due to thepresence of several different feature extraction and classification technqies, datafusion has been investigated. Data fusion in the current case has mainly beeninvestigated on two levels, feature level and classifier level respectively. Fusion at thefeature level demonstrated best results with an overall accuracy of 82% whencompared to the human operator.

Relevância:

30.00% 30.00%

Publicador:

Resumo:

This article discusses some of the complexities of human decision-making. It aims, in particular, at relating the nature of decision-making to the illusory dichotomies of change and stability, individual actions and cultural sharing. Serving as an illustration to the discussion of the article is ongoing fieldwork in contexts of buying, selling and constructing pre-fabricated detached houses in the central Sweden, and the very specific question of how decisions to install one kind of heating-system rather than another come about. A common reductionism is to narrow down the understanding of decisions about heating systems and energy consumption to conscious choices made by individual householders. I have asked myself whether, on the contrary, anyone actually makes such decisions at all. Perhaps some of these decisions are merely outcomes of interaction between different individuals with their respective responsibilities and focuses of interest.