The Web- based Real- Time Asset Monitoring (RAM) module enables emergency personnel to monitor and analyze data in the event of a natural disaster. The software can manage many disparate sources of data – including streaming data – within a facility, city, or county.
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A computer program implements parallel-processing algorithms for correlating images of terrain acquired by digital stereo cameras. Such correlations are used to create three- dimensional computational models of the terrain for navigation.
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Software called PDFVis assists in the visualization of uncertainty as represented by a probability density function (PDF) located at each grid cell in a spatial domain. PDFVis first creates maps of first-, second-, and third-order statistics of the PDFs, displaying the maps in one image.
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Fuel and Solar Cell Technologies
This search for fuel cell system technologies includes the following: (1) Membrane Electronic Assembly (MEA) design & manufacturing; (2) MEA Membrane manufacturer/ supplier; (3) Supplier or material vendor of SGL graphite for stack manufacturing; (4) Hydrogen storage alloy technology; and (5) Solar cell manufacturing technology.
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Semiconductor and Clean Tech Technologies
Semiconductor inspection devices of interest include nano inspection technology survey and related technologies applicable to semiconductor processes. Clean Techs of interest include: (1) solar cell manufacturing technology; (2) device development technology for solar cell manufacturing process; (3) inspection device development technology for solar cell manufacturing process.
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The Technology Business Needs portray technology acquisition profiles intermediated by NextTechs Technology Exchange.NextTechs Technologies, LLC is a Global Technology Investment Bank engaged in technology offers and needs-intermediation in over 41 industries and 141 research disciplines. Search NextTechs’ Technology Portfolio here.

Finding and fixing design bugs in computer chips after they’ve been fabricated in silicon can be a tedious and costly process due to signals being buried inside the silicone. Engineering researchers at the University of Michigan have developed a new technology called FogClear to automate post-silicon debugging. FogClear uses puzzle-solving search algorithms to diagnose problems early on and automatically adjust the blueprint for the chip. It reduces parts of the process from days to hours.

In the current system, a chip design is validated in simulations and then a draft is cast in silicon. This first prototype undergoes additional verification. If a bug is detected at this stage, an engineer must craft a fix that does not disrupt the balance of the system’s other components, which could take days. Engineers then produce new prototypes incorporating all the fixes. This process repeats until they arrive at a bug-free prototype.

FogClear automates this debugging process. The computer-aided design tool can catch subtle errors that months of simulations would still miss. Some bugs might take days or weeks before causing any miscomputation, and they might only do so under very rare circumstances. The new application searches for and finds the simplest way to fix a bug – the one that has the least impact on the working parts of the chip. The solution usually requires reconnecting certain wires, and does not affect transistors.

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A light-emitting diode (LED) array, formed on a substrate using an etching method, is shaped to produce uniform light intensity and high production yield. A terrace formed under the light-
emitting edge surface together with the grooves protects the LED from handling-induced damage during mounting because it is formed in a portion recessed from the substrate’s edge. The substrate’s surface in front of the light-emitting edge is formed in multiple stages so that a light beam is not reflected by the substrate’s surface. This process produces an improved semiconductor light-emitting device that emits a uniform, high-density light. Click here for more info.

A laser writing technology for multiple laser beams uses electronic correction rather than optical means. Instead of using a single beam that needs to be brought to the right location, a grid of multiple beams is used, and only the beams with the right location are selected and used for data writing. This technique allows the simultaneous writing by multiple laser beams at the correct location of the image plane. Click here for more info.

The Technologies of the Week describe inventions offered for license through the yet2.com marketplace. Search over $2.5 billion of licensable technologies at www.yet2.com.

Though not among the top 10 causes of death, decompression sickness can be fatal. A University of Houston professor is seeking to develop a laser-based system that can diagnose the sickness in seconds. Decompression sickness affects those who experience sudden, drastic changes in the air or water pressure surrounding their bodies. It can cause anything from joint pain to seizure, stroke, coma, and, in the most extreme cases, death.

Kirill Larin, assistant professor of biomedical engineering and mechanical engineering, is developing the first non-invasive optical tool to test those most likely to suffer from decompression sickness, such as scuba divers, submariners and airplane pilots. Larin’s optical device can detect the presence of nitrogen gas in blood and tissues, which can restrict blood flow throughout the body and cause damage. The tool works like an ultrasound machine, but instead of using sound waves to obtain readings, it uses laser-generated light waves that bounce back when they encounter resistance, thereby providing a high-resolution image.

The Navy could eventually use this technology on all divers or pilots returning to the surface. Shining the laser on one of these individuals would provide an image that would reveal the
presence of any micro bubbles in the blood or tissue, within seconds. If micro bubbles are found, then medical steps, such as time in a decompression chamber, could be taken before the
symptoms appear.

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