ICN Insider, November-December, 2013

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

ICN Insider, November, 2011

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

ICN Insider, October, 2011

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

ICN Insider, September-October 2014

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

ICN Insider, September, 2010

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

ICN Insider, September-October, 2012

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

ICN Insider, September-October, 2013

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

Mobile robot experimental modeling and control strategies using sensor fusion

This research work deals with the problem of modeling and design of low level speed controller for the mobile robot PRIM. The main objective is to develop an effective educational, and research tool. On one hand, the interests in using the open mobile platform PRIM consist in integrating several highly related subjects to the automatic control theory in an educational context, by embracing the subjects of communications, signal processing, sensor fusion and hardware design, amongst others. On the other hand, the idea is to implement useful navigation strategies such that the robot can be served as a mobile multimedia information point. It is in this context, when navigation strategies are oriented to goal achievement, that a local model predictive control is attained. Hence, such studies are presented as a very interesting control strategy in order to develop the future capabilities of the system. In this context the research developed includes the visual information as a meaningful source that allows detecting the obstacle position coordinates as well as planning the free obstacle trajectory that should be reached by the robot

Optic perineuritis: clinical and radiographic features.

BACKGROUND: Optic perineuritis is an uncommon variety of orbital inflammatory disease that is distinct from demyelinating optic neuritis. OBJECTIVE: To describe the clinical and radiographic features of idiopathic optic perineuritis, with particular emphasis on those features that help to distinguish this condition from optic neuritis. METHODS: We reviewed the medical records of 14 patients with optic perineuritis who were seen in 2 neuro-ophthalmology clinics. RESULTS: Patients ranged in age from 24 to 60 years; 5 were older than 50 years. All patients had visual loss, eye pain, or both. The visual acuity was 20/20 or better in 8 of the 15 eyes. The results of visual field testing were normal in 2 eyes, and a paracentral scotoma or an arcuate defect was seen in 7. Magnetic resonance imaging scans demonstrated circumferential enhancement around the optic nerve, sometimes with intraorbital extension. Response to corticosteroids was dramatic; however, 4 patients had a relapse with lowering of the dose. CONCLUSIONS: In contrast to those with optic neuritis, patients with optic perineuritis are often older at onset and are more likely to show sparing of central vision. Magnetic resonance imaging scans demonstrate enhancement around, rather than within, the optic nerve. Response to corticosteroids is more dramatic than in patients with optic neuritis, and patients are more likely to experience recurrence after stopping treatment.

ICN Insider, November/December 2014

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

ICN Insider, January/February 2015

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

ICN Insider, March/April 2015

The ICN, a state agency, is the country’s premier fiber-optic Network, committed to continued enhancement of distance learning and providing Iowans with convenient, equal access to education, government, and healthcare. This newsletter is produced monthly by the ICN of all the programs and activities of this department.

Imagens do sensor MODIS associadas a um modelo agronômico para estimar a produtividade de soja

O objetivo deste trabalho foi estimar a produtividade de soja no Rio Grande do Sul, nas safras de 2000/2001 a 2002/2003, por meio de um modelo agronômico implementado em um Sistema de Informação Geográfica (SIG). Duas abordagens foram utilizadas: o modelo agronômico (AGRO), com valores de índice de área foliar (IAF) obtidos da literatura; e o modelo agronômico-espectral (AGROESPEC), com valores de IAF estimados a partir das imagens MODIS (moderate resolution imaging spectroradiometer). As estimativas de produtividade obtidas pelo modelo foram comparadas àquelas fornecidas pelo Instituto Brasileiro de Geografia e Estatística (IBGE), com o uso do teste t para pares de observação. Nas safras 2000/2001 e 2001/2002, não foram observadas diferenças significativas. Para 2002/2003, o modelo subestimou o valor de produtividade em 7,87 e 7,04%, nas abordagens AGRO e AGROESPEC, respectivamente, em comparação à produtividade fornecida pelo IBGE. Ambas as abordagens do modelo permitiram avaliação objetiva e quantitativa do efeito das condições meteorológicas sobre a produtividade de soja. Entretanto, o AGROESPEC forneceu estimativas mais detalhadas, no que se refere à variação espacial da produtividade, em razão do emprego dos valores de IAF estimados a partir das imagens MODIS.

Mapeamento da temperatura da superfície terrestre com uso do sensor AVHRR/NOAA

O objetivo deste trabalho foi avaliar a adequação do uso do sensor AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) para mapeamento da temperatura da superfície terrestre (TST) no Estado do Rio Grande do Sul, por meio da comparação entre três algoritmos clássicos. Foram comparados os métodos de Becker & Li, Sobrino et al. e Kerr et al. para estimativa das TST mínimas, utilizando imagens noturnas e logo após o amanhecer. Os dados de emissividade e TST foram obtidos por meio de combinações matemáticas da radiação detectada nas faixas do visível, infravermelho próximo e termal do sensor AVHRR/NOAA. O sensor AVHRR é adequado para o mapeamento de TST para as condições do tipo de cobertura do solo que predominam no Rio Grande do Sul, visto que a TST estimada pelos três métodos testados foi próxima à temperatura do ar medida nos locais selecionados. O método de Sobrino et al. foi o mais adequado.