Visualizing the Simulation of 3-D Underwater Sensor Networks

The majority of sensor network research deals with land-based networks, which are essentially two-dimensional, and thus the majority of simulation and animation tools also only handle such networks. Underwater sensor networks on the other hand, are essentially 3D networks because the depth at which a sensor node is located needs to be considered as well. Due to that additional dimension, specialized tools need to be used when conducting simulations for experimentation. The School of Engineering’s Underwater Sensor Network (UWSN) lab is conducting research on underwater sensor networks and requires simulation tools for 3D networks. The lab has extended NS-2, a widely used network simulator, so that it can simulate three-dimensional networks. However, NAM, a widely used network animator, currently only supports two-dimensional networks and no extensions have been implemented to give it three-dimensional capabilities. In this project, we develop a network visualization tool that functions similarly to NAM but is able to render network environments in full 3-D. It is able to take as input a NS-2 trace file (the same file taken as input by NAM), create the environment, position the sensor nodes, and animate the events of the simulation. Further, the visualization tool is easy to use, especially friendly to NAM users, as it is designed to follow the interfaces and functions similar to NAM. So far, the development has fulfilled the basic functionality. Future work includes fully functional capabilities for visualization and much improved user interfaces.

Oceans and Human Heath: Hand in Hand

Healthy oceans and healthy humans are inseparable. This article discusses new pharmaceuticals that are coming from the sea, and also ocean problems like harmful algal blooms that impact humans.

Teaching Time Preference and Human Impatience: The Billionaire Game

The Billionaire Game involves students in discussing time preference, or what Fisher (1930) calls human impatience. The game can facilitate the introduction of the material on present value and discounting or discussions on such issues as investment in human capital and the intertemporal consumption-saving decision. Thus, the game can facilitate discussions in a number of economics courses.

Cross-Nativity Marriages, Gender, and Human Capital Levels of Children

Because the demographic composition of todays immigrants to the US differs so much from those of natives, immigrants may be less likely to socially integrate into U.S. society, and specically less likely to marry natives. This paper explores the relationship between immigrants' marriage patterns and the academic outcomes of their children. Using 2000 Census data, it is found that while marital decisions of foreign born females do not affect their children's academic success, foreign born males that marry foreign born females are less likely to have children that are high school dropouts. These relationships remain after using various methods to control for the endogeneity of the intermarriage decision. Although we cannot disentangle whether the benefits of same-nativity marriages for foreign born males arise from a more efficient technology in human capital production within the household or from increased participation in ethnic networks, it does appear that immigrant males have better educated children when they marry immigrant females.

The Effects of Trade Orientation and Human Capital on Total Factor Productivity

We study the effects of trade orientation and human capital on total factor productivity for a pooled cross-section, time-series sample of developed and developing countries. We first estimate total factor productivity from a parsimonious specification of the aggregate production function involving output per worker, capital per worker, and the labor force, both with and without the stock of human capital. Then we consider a number of potential determinants of total factor productivity growth including several measures of trade orientation as well as a measure of human capital. We find that a high degree of openness benefits total factor productivity and that human capital contributes to total factor productivity only after our measure of openness passes some threshold level. Before that threshold, increases in human capital actually depress total factor productivity. Finally, we also consider the issue of convergence of real GDP per worker and total factor productivity, finding more evidence of convergence for the latter than for the former.