CommunicationsDisplaying technologies 1 - 8 of 48 in total
High efficiency, low voltage, low L-band, mega-watt class magnetron
AFRL has developed a conventional (non-relativistic) magnetron that provides megawatt-levels of power. The magnetron includes a fourteen vane slow wave structure that surrounds a fourteen turn helical cathode.
Fast Rope Insertion Technology
The current Fast Rope Insertion and Extraction System (FRIES) system in use for tactical military operations is challenged by increasing operator loads and new platform applications. There is a need for a safer method to rapidly descend in a controlled manner with a descend-default design and still allow the operator to quickly detach in a manner consistent with their experience with other harness systems. The Fast Rope Insertion System was designed by US Air Force Academy cadets and faculty in response to an Air Force Research Laboratory (AFRL) university design challenge.
The Weather Rock unit is a small, man-portable and wireless weather sensor designed for remote, sustained operation in outdoor environments. Features include the ability to measure and report: temperature, wind speed, wind direction, air pressure, humidity, rain, snow, position, date, and battery status. Originally designed for AF weather operators and later used by US Army Special Forces to get accurate weather readings on the ground for future drop zones and landing zones. Dimensions 7.18”L x 5.36”W x 19.27”H Weight 8.80 pounds Ports x1 Micro USB (F) Charging; x1 SMA (F), RF Power 11 to 12 VDC Solar Panels x4; 12 VDC; 4 Watts Battery 11.1 VDC; 10AH; Rechargeable via solar panel or wall charger Run Time ~1080 hours Recharge 8 to 10 hours
Atmospheric Optical Turbulence Monitoring and Prediction
Guidestar’s atmospheric optical turbulence sensing technology remotely measures atmospheric turbulence strength. Guidestar uses these measurements in combination with a proprietary model to estimate a number of localized weather parameters to support operational decision making. In addition, Guidestar’s model can use weather forecast data to predict atmospheric optical turbulence.
ScribeZone®: A Multimedia Instructional Design System
ScribeZone® is an educational technology that facilitates development and delivery of interactive multimedia course ware for the classroom. ScribeZone® enables instructors to synchronize multimedia files with their corresponding written texts and then divide the media into manageable learning blocks to appropriately focus and challenge their learners. Instructors can customize and frame course ware with hints, glossaries, and links to outside resources. ScribeZone® presents the multimedia course ware and its sophisticated media playback system in one window, making course materials easy to develop, access, navigate, and complete.
SAGA: Measuring Similarity between Data Sets
This invention measures similarities between sets of data. The data could be natural language documents or articles, product descriptions, queries, computer code, metadata, or measurements from any real-world objects or processes. The technology is able to determine similarities between data sets without needing to know how they interact. Omitting duplicate pieces of data allows the technology to provide more accurate results. Additionally, this technology can provide patterns over time of the data entered. This invention takes a holistic view of the data to make recommendations that are more accurate than commonly used methods.
Measuring Voice Signal Enhancement
This technology measures the degree of enhancement made to a voice signal, reducing the need for human arbitrations and other various listening tests. Statistically, voice signals are “non-stationary,” changing over time. The more a signal becomes corrupted, however, the more stationary its distribution of values becomes. In this technology, the degree of reduction in the signal’s distribution indicates the degree of enhancement made to the signal. This invention quantifies the voice enhancement by comparing how stationary the distribution of values are between original and enhanced signals.
ALADDIN: Database Searching and Identifying Text US PATENT # 7,797,152 | US PATENT # 7,761,286 | US PATENT # 7,539,611
This technology is a combination of three inventions: two natural language database search methods and a method of identifying and highlighting text. The Tagger searches for transliterated terms (such as names) within large data sets using lexical, contextual, and morphological information. The Matcher is then applied to determine which candidate terms are known within the database and are therefore of likely increased interest to the reader. This knowledge-based system’s ability to work without relying on any one query language grants non-expert users access to an extensive collection of linguistic information and expertise. A typical application for this technology is name searching since names have unique linguistic and cultural complications and extracting names from data sources can be difficult.
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