Browsing by Subject "Filtering"

Now showing 1 - 3 of 3
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    Assessment of Stormwater Best Management Practices
    (University of Minnesota, 2008-04) Anderson, James L.; Asleson, Brooke C.; Baker, Lawrence A.; Erickson, Andrew J.; Gulliver, John S.; Hozalski, Raymond M.; Mohseni, Omid; Nieber, John L.; Riter, Trent; Weiss, Peter; Wilson, Bruce N.; Wilson, Matt A.; Gulliver, John S.; Anderson, James L.
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    The implications of Internet filters in secondary schools.
    (2008-04) Finsness, Lisa Schneider
    President Bill Clinton signed the Children's Internet Protection Act (CIPA) into law in 2000, requiring schools and libraries to install specific technology that blocks Internet access to visual [not text] depictions that are obscene, child pornography, or harmful to minors. Advocacy groups, such as the American Civil Liberties Union as well as many educators voiced concern that this law would infringe on intellectual freedom and countered that it was far better to teach students to be effective users of information than to "censor" the Internet. Advocacy groups also began investigating whether CIPA affected students' ability to access information they needed for school. This study explores whether Internet content filters block information secondary students' need to complete Minnesota Academic Standards, and if they do, how teachers and technology administrators react. Professional development in media and information literacy and the extent to which teachers prepare their students in these areas also were examined. Participants for this study were district technology administers and teachers who taught those subject. Data collection included surveys, in-depth interviews, and systematic URL checks. This study can be used as a baseline to further examine the effect Internet content filtering might have on a students' ability to access information. Additionally, findings also may influence school districts to examine how well their teachers are prepared to teach the media and information literacy skills their students need to be effective users of information.
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    On the geometric and statistical signature of landscape forming processes.
    (2009-12) Passalacqua, Paola
    The physical processes that shape landscapes are complex and involve the interaction of water, soil, vegetation and biota over a range of scales. Yet, as complex as these interactions may seem to be, the landscapes we see around us often exhibit striking hierarchical order and geometric/statistical properties that are subject to scale renormalization. The overall goal of this research is to contribute to the theoretical foundation of extracting geomorphic features of interest from high resolution topography and use the extracted features for process understanding and for advancing landscape evolution modeling. Specifically, an advanced methodology for geomorphic feature extraction is developed and implemented on several high resolution data sets of different characteristics, from a steep and landslide-dissected basin, to a mountainous region, to a flat and partly artificially drained area. This new methodology incorporates nonlinear diffusion for the pre-processing of the data, both to focus the analysis on the scales of interest and to enhance features that are critical to the network extraction. Following this pre-processing, channels are defined as curves of minimal effort, or geodesics, where the effort is measured based on fundamental geomorphological characteristics such as flow accumulation and iso-height contours curvature. The developed channel network extraction methodology is compared in terms of performance to a previously proposed channel extraction methodology based on wavelets. The results show that the geometric nonlinear framework is more computationally efficient and achieves better localization and robust extraction of features, especially in areas where gentle slopes prevail. The automatic extraction of channel morphology, such as cross-section, banks location, water surface elevation, is also addressed, as well as the possibility of distinguishing the signature of natural features such as channels from the one of artificial features, such as drainage ditches. One motivation for extracting detailed geomorphic features from landscapes is the premise that this will lead to improved process understanding (e.g., by relating the observed form to physical processes that gave rise to that form) and improved modeling (e.g., incorporate important localized features in hydrologic or sediment transport models or develop sophisticated metrics for testing the performance of landscape evolution models). With this premise in mind, work herein presents preliminary results along a particular new direction related to geomorphic transport laws and landscape evolution modeling. Specifically, motivated by: (a) our experience that geomorphic attributes, such as slope and curvature, are scale-dependent and thus the resulting sediment flux computed from the typical transport laws would also be scale-dependent, and (b) that landscapes present heterogeneity over a large range of scales, we put forward the idea of a non-local sediment flux formulation to be explored in landscape evolution modeling. Along these lines, a simple landscape evolution model is proposed and its ability to reproduce some common statistical properties of real landscapes is examined.