Data Acquisition

Data Fusion for Global Estimation of Forest Characteristics From Sparse Lidar Data

A new approach automatically produces a hierarchical set of image segmentations for detailed analysis of forest data. This lidar data fusion approach is based on associating samples from sparse lidar data with groups of region objects determined by a unique image segmentation approach, HSeg (Hierar - chical Segmentation). This segmentation approach, which was previously developed by co-innovator James Tilton, is ideal for this application because HSeg automatically produces a hierarchical set of image segmentations, i.e., a set of several image segmentations of the same image at different levels of detail in which the segmentations at coarser levels of detail can be produced from simple merges of regions at finer levels of detail. This enables a simple approach for selecting an appropriate level of segmentation detail. HSeg also automatically classifies the spatially continuous region objects into region classes, through a tight intertwining of region growing segmentation, which produces spatially connected region objects, with non-adjacent region object aggregation, which groups sets of region objects together into region classes. No other practical, operational image segmentation approach has this tight integration of region growing, object finding with non-adjacent region aggregation. HSeg produces image segmentations with high spatial fidelity — enabled by the tight intertwining of region growing segmentation with non-adjacent region object aggregation.

Posted in: Information Sciences, Data Acquisition, Briefs

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Transportable Instrumentation Package for In-Vehicle On-Road Data Acquisition

This portable data acquisition system is a viable alternative to first developing a fully instrumented test vehicle. The study of driver behavior can provide a wealth of information that can be useful in the design of automobiles including active safety features and functions. There may be differences in driver behavior, as reflected in driver state, and these differences may be confounded by a driver’s condition. Much can be learned from studies that look at driver state and condition to answer questions such as how vehicle features and functionality could be designed to complement the driver’s capabilities and limitations in the vehicle. Also, a better understanding could be gained to determine how, or if at all, a safety feature’s characteristics should be modified to accommodate a driver’s condition.

Posted in: Physical Sciences, Data Acquisition, Briefs

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Virtual Testing of High Lift Systems

Virtual testing serves as an additional, equivalent means of testing versus existing, established physical means of compliance. For aircraft system certification, a huge amount of testing is required to guarantee safe, robust, and error-free behavior under all operating and environmental conditions. Typically, these tests on the system level are performed on physical test benches (left, in figure) where all the relevant components including actuators, sensors, and control computer are integrated. Due to the increasing complexity of systems on the one hand, and drastically reduced development times on the other, virtual testing has become one of the solutions to overcome this challenge.

Posted in: Information Sciences, Data Acquisition, Briefs

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Data Acquisition and I/O Control Applications Handbook

Free to qualified engineers, this 200-page Data Acquisition and I/O Control Applications Handbook is packed with useful information and best practice DAQ techniques. Also included are popular I/O control chassis and hundreds of compatible analog and digital I/O boards offered by United Electronic Industries. Download your copy today!

Posted in: Data Acquisition, White Papers

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GPS Estimates of Integrated Precipitable Water Aid Weather Forecasters

This technique improves weather-forecasting operations. Global Positioning System (GPS) meteorology provides enhanced density, low-latency (30-min resolution), integrated precipitable water (IPW) estimates to NOAA NWS (National Oceanic and Atmospheric Administration National Weather Service) Weather Forecast Offices (WFOs) to provide improved model and satellite data verification capability and more accurate forecasts of extreme weather such as flooding. An early activity of this project was to increase the number of stations contributing to the NOAA Earth System Research Laboratory (ESRL) GPS meteorology observing network in Southern California by about 27 stations. Following this, the Los Angeles/Oxnard and San Diego WFOs began using the enhanced GPS-based IPW measurements provided by ESRL in the 2012 and 2013 monsoon seasons. Forecasters found GPS IPW to be an effective tool in evaluating model performance, and in monitoring monsoon development between weather model runs for improved flood forecasting.

Posted in: Physical Sciences, Data Acquisition, Briefs, TSP

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Datacasting V3.0

Datacasting V3.0 provides an RSS-based feed mechanism for publishing the availability of Earth science data records in real time. It also provides a utility for subscribing to these feeds and sifting through all the items in an automatic manner to identify and download the data records that are required for a specific application.

Posted in: Software, Data Acquisition, Briefs, TSP

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High-Speed Data Recorder for Space, Geodesy, and Other High-Speed Recording Applications

A high-speed data recorder and replay equipment has been developed for reliable high-data-rate recording to disk media. It solves problems with slow or faulty disks, multiple disk insertions, high-altitude operation, reliable performance using COTS hardware, and long-term maintenance and upgrade path challenges.

Posted in: Physical Sciences, Data Acquisition, Briefs

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