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RR1P Rugged ATR Pluggable Canister RAID Data Storage Delivers Continuous Data Recording for ISR

RR1P removable canister RAID data storage system enables military ISR data to be removed from a plane, ship or ground vehicle in under two minutes. The canister connects to the ¾ ATR chassis with a military grade connector designed for 10,000 insertion cycles. It weighs only 25 pounds including a five pound removable canister with up to 19.2 TB of compact, rugged, high performance mobile RAID data storage.

Posted in: White Papers, White Papers, Data Acquisition, Sensors, Electronics & Computers

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Comparison of Interface Pressure Measurement Options

An increasingly competitive global marketplace means that design engineers must efficiently deliver a high quality product. Countless emerging technologies impact the design process and engineers must practice due diligence to ensure analysis tools meet their application’s requirements. This paper focuses specifically on technology for interface force and pressure measurement between two surfaces and includes a review of technology composition and data output. This paper will also examine capabilities driven by form factor, precision and environment that influence selection criteria of interface force and pressure sensors.

Posted in: White Papers, White Papers, Sensors

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Force Sensors for Design

The Tekscan Force Sensors for Design White Paper provides insights on various force sensing technologies including: Comparison of various force sensing technologies such as load cells, piezoresistive, and capacitive sensors. Discussion of issues including power consumption, size, cost, and durability. Real-life examples of how thin and flexible tactile force sensors have contributed to the success of OEMs in a variety of applications and industries. What to consider in choosing a technology partner, including engineering support, customization, and manufacturing capabilities.

Posted in: White Papers, White Papers, Sensors

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Multivariate Time Series Search Capability to Identify Complex Patterns in Large Datasets

Ames Research Center, Moffett Field, California There exist many datasets that can be viewed as multivariate time series, such as the daily high temperature at a locality, sensor recordings in diagnostic systems and scientific data, and music and video recordings. These time series reside in large repositories, and there is often a need to search for particular time series exhibiting certain types of behaviors. Many current approaches to time series search are too slow on large repositories, or constrain the range of possible queries.

Posted in: Briefs, Data Acquisition, Mathematical/Scientific Software

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NGDCS Linux Application for Imaging-Spectrometer Data Acquisition and Display

NASA’s Jet Propulsion Laboratory, Pasadena, California A simple method of controlling recording and display of imaging spectrometer data in (airborne) flight was needed. Existing commercial packages were overly complicated, and sometimes difficult to operate in a bouncing plane. The software also was required to keep up with the imaging data rate, while still running on commodity hardware and a desktop operating system. Finally, the software needed to be as robust as possible — repeating a flight because of lost data is sometimes impossible, and always expensive.

Posted in: Briefs, Displays/Monitors/HMIs, Data Acquisition

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Kepler Community Data Analysis Tools

Ames Research Center, Moffett Field, California A series of scripts stitch together existing open-source Python modules for the purpose of displaying, cleaning, and measuring photometric properties within public Kepler data. The intent of these tools is to provide convenience to the Kepler science community, and to increase cost efficiency for the project. With 500+ users in the community, an open-source development provides the best resource for sharing tools, while minimizing cost and duplicated effort.

Posted in: Briefs, Data Acquisition, Mathematical/Scientific Software

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Detection of Carried and Dropped Objects in Surveillance Video

This software analyzes a video input stream and automatically detects carried and dropped objects in near-real-time. NASA’s Jet Propulsion Laboratory, Pasadena, California DARPA’s Mind’s Eye Program aims to develop a smart camera surveillance system that can autonomously monitor a scene and report back human-readable text descriptions of activities that occur in the video. An important aspect is whether objects are brought into the scene, exchanged between persons, left behind, picked up, etc. While some objects can be detected with an object-specific recognizer, many others are not well suited for this type of approach. For example, a carried object may be too small relative to the resolution of the camera to be easily identifiable, or an unusual object, such as an improvised explosive device, may be too rare or unique in its appearance to have a dedicated recognizer. Hence, a generic object detection capability, which can locate objects without a specific model of what to look for, is used. This approach can detect objects even when partially occluded or overlapping with humans in the scene.

Posted in: Briefs, TSP, Cameras, Electronics & Computers, Data Acquisition, Detectors

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