Exploring Utah\u27s Water

This factsheet is intended to help Utah citizens better understand where our water comes from, the different ways we use water, and the challenges of meeting our multiple, and often competing needs. A better understanding of Utah’s water will help as we work together to plan for the future

Simulation of 3-D viscous flow within a multi-stage turbine

This work outlines a procedure for simulating the flow field within multistage turbomachinery which includes the effects of unsteadiness, compressibility, and viscosity. The associated modeling equations are the average passage equation system which governs the time-averaged flow field within a typical passage of a blade row embedded within a multistage configuration. The results from a simulation of a low aspect ratio stage and a one-half turbine will be presented and compared with experimental measurements. It will be shown that the secondary flow field generated by the rotor causes the aerodynamic performance of the downstream vane to be significantly different from that of an isolated blade row

Average-passage flow model development

A 3-D model was developed for simulating multistage turbomachinery flows using supercomputers. This average passage flow model described the time averaged flow field within a typical passage of a bladed wheel within a multistage configuration. To date, a number of inviscid simulations were executed to assess the resolution capabilities of the model. Recently, the viscous terms associated with the average passage model were incorporated into the inviscid computer code along with an algebraic turbulence model. A simulation of a stage-and-one-half, low speed turbine was executed. The results of this simulation, including a comparison with experimental data, is discussed

Pave It or Plant It, 7th - 12th Grade Curriculum

Students will use simple watershed models to measure runoff from natural and urbanized areas. They will graph the data to create and compare the hydrographs of these two different types of watersheds. Students will also map different areas in their neighborhood, calculate the amount of impervious surface in the area, and determine how this affects the volume of stormwater runoff expected from a typical rainstorm. Finally, students will list different types of pollutants that enter the streams from urban areas and learn about possible impacts to the stream. They will also learn about possible methods of reducing these impacts through community or individual actions

IRresistable: How an IR (Institutional Repository) can improve library collections while preserving the past

Marshall University’s IR team will discuss the creation, progress, and benefits of the Marshall Digital Scholar, an online institutional repository. There will be time for libraries, large and small, to ask questions about digital collecting and digital projects

Re-configurable terminals beyond 3G

Attributes act as intermediate representations that enable parameter sharing between classes, a must when training data is scarce. We propose to view attribute-based image classification as a label-embedding problem: each class is embedded in the space of attribute vectors. We introduce a function that measures the compatibility between an image and a label embedding. The parameters of this function are learned on a training set of labeled samples to ensure that, given an image, the correct classes rank higher than the incorrect ones. Results on the Animals With Attributes and Caltech-UCSD-Birds datasets show that the proposed framework outperforms the standard Direct Attribute Prediction baseline in a zero-shot learning scenario. Label embedding enjoys a built-in ability to leverage alternative sources of information instead of or in addition to attributes, such as e.g. class hierarchies or textual descriptions. Moreover, label embedding encompasses the whole range of learning settings from zero-shot learning to regular learning with a large number of labeled examples.Comment: IEEE TPAMI preprin