A comprehensive library of technical briefs from engineering experts at NASA and major government, university, and commercial laboratories covering all aspects of innovations in electronics, software, photonics, imaging, motion control, automation, sensors, test, materials, manufacturing, mechanical, and mechatronics.

Briefs: Electronics & Computers
Nanotube-Based Device Cooling System

Carbon nanotubes (CNTs) are being studied for use in high-strength/lowweight composites and other applications. Recent research on thermal dissipation materials for high-power electronic devices is generating a lot of interest in various industries. Carbon nano tubes have attracted much attention due to their...

Briefs: Electronics & Computers
Architecture for an Intermediate-Frequency Digital Downconversion and Data Distribution Network

NASA’s Deep Space Network (DSN) is looking to modernize aging downlink receivers for telemetry, tracking, and radio science. It is looking to replace multiple types of custom-built, special-purpose receivers with a unified receiver architecture that...

Briefs: Electronics & Computers
Reliability Assessment of CCGA 1752 Advanced Interconnect Kyocera Packages for Extreme Thermal Environments

Ceramic Column Grid Array (CCGA) packages have been increasing in use based on advantages such as high interconnect density, very good thermal and electrical performance, compatibility with standard surface-mount packaging assembly...

A pressure sensor was developed based on a piezoelectric bending resonator. The resonator is covered and mechanically coupled with a sealed enclosure. The impedance spectrum of the...

Briefs: Sensors/Data Acquisition
Using a Ubiquitous Conductor to Power and Interrogate Wireless Passive Sensors and Construct a Sensor Network

Many methods have been developed for interrogation of wireless passive sensors. Surface acoustic wave (SAW) sensors and RF reflection sensors can receive and reflect electronic magnetic waves that are broadcast and received by the...

Briefs: Sensors/Data Acquisition
Full-Field Inverse Finite Element Method for Deformed Shape- and Stress-Sensing of Plate and Shell Structures

Structural health management systems that, by way of real-time monitoring, help mitigate accidents due to structural failures, will become integral technologies of the next-generation aerospace vehicles. Advanced sensor arrays and signal...

Briefs: Sensors/Data Acquisition
Pressure-Optimized Optical Breath Gas Analyzer for Portable Life Support Systems

Optical detection of gaseous carbon dioxide, water vapor (humidity), and oxygen is desired in Portable Life Support Systems (PLSS) incorporating state-of-the-art CO2 scrubbing architectures. Earlier broadband detectors are nearing their end of life, and...

Briefs: Sensors/Data Acquisition
Lightweight Metal Rubber Textile Sensor for In-Situ Lunar Health Monitoring

Extravehicular activities (EVAs) are dangerous to astronauts for a number of reasons, including high levels of physical exertion, potential for impacts by space debris particulates that could puncture the spacesuit and cause depressurization, Moon dust exposure that is...

Briefs: Aerospace
Autonomous Leading-Edge Slat Device for Reduction of Aeroacoustic Noise Associated with Aircraft Wings

Conventional transport aircraft wing design is driven mainly by cruise efficiency, i.e., adequate lift is generated at high speed for level flight with minimal drag. Conventional high-lift systems (leading edge slats and trailing edge flaps)...

Briefs: Aerospace
StormGen Weather Editor

Experiments that take into account the impact of convective weather on airspace operations, future concepts, and flight deck tools require a source of weather data that is readily available, of predictable quality, and tailorable to experimental objectives. Real-world weather data is sparse, highly random, and...

Briefs: Aerospace
Pair-wise Trajectory Management (PTM) Airborne Human Machine Interface (HMI) Display Design

Pair-wise Trajectory Management (PTM) is a concept that utilizes airborne and ground-based capabilities to enable airborne spacing operations in oceanic regions. The goal of PTM is to use enhanced surveillance, along with airborne tools, to manage the...

Airframe noise is a significant part of the overall noise of typical transport aircraft during the approach and landing phases of flight. Airframe noise reduction...

Briefs: Aerospace
Aircraft Engine Exhaust Nozzle System for Jet Noise Reduction

Conventional aircraft typically include propulsion engines that are under the wing or tail surfaces. Each propulsion engine system includes an engine housed in a nacelle with an inlet and a nozzle system. Primary component noise sources from the engine system include the noise...

Briefs: Aerospace
Rotorcraft Noise Model (RNM)

The Rotorcraft Noise Model (RNM) is a suite of computer models that predicts far-field noise for single or multiple flight vehicle operations. RNM calculates the effects of sound propagation over varying ground terrain for acoustic sources using geometrical theory of diffraction algorithms, and through a horizontally...

Airframe noise, produced by unsteady flow around aircraft structures, is an important source of aircraft noise during approach and landing. Sound radiating from the undercarriage is a major...

Briefs: Medical
Relativistic Ion Tracks (RITRACKS)

Once astronauts venture beyond Earth’s protective atmosphere, they are exposed to the high-energy charged particles of galactic cosmic rays (GCR) and solar particle events (SPE), and secondary protons and neutrons. GCR are composed of ions, the great majority of which are protons (≈87%) and helium nuclei...

Briefs: Medical
Medical Oxygen Concentrator for Microgravity Operation

Supplemental oxygen delivery systems are vital to provide a critical life support respiratory function. Whether they are used for patients suffering from lung diseases or other illnesses, or astronauts donning an oxygen mask during a toxic spill or fire on a spacecraft, lightweight and...

Briefs: Medical
Lateral Displacement Device for Blood Cell Separation

Separation of particles based on size is one of the essential components in biochemical analysis, environmental assays, and industrial and biomedical applications. Filtration is one of the most frequently used techniques to separate particles. A mechanical filter can be used to remove,...

Briefs: Medical
Using a Blood Clot in Microfluidic Valving Applications

The lack of reliable microvalves impedes many lab-on-a-chip applications for blood analysis. On the other hand, blood clotting — the formation of solid blood aggregate to stop bleeding — provides a natural valving mechanism. It is therefore very attractive to use this mechanism for...

Briefs: Medical
Drug-Encapsulated Prosthetic Enhancement

This invention places a drug delivery system inside a prosthetic implant to circumvent the physical issues encountered after fitting the implant. Implants being relatively large in size would be able to house the drug-carrying device inside them without compromising the structural integrity or the...

Briefs: Medical
Portable Resting State Detection System Using Functional Near-Infrared Spectroscopy

The ability to distinguish between high and low levels of task engagement is important for detecting and preventing performance decrements during safety-critical operational tasks in the real world. Examples of such tasks include commercial aviation, monitoring...

Briefs: Information Technology
BALFIT Version 3.1 Multivariate Regression Analysis and Regression Model Optimization Software

The software package BALFIT was developed for both the processing of wind tunnel strain-gage balance data and the analysis of more general multivariate experimental data sets. The software uses automatically generated regression models for the...

Briefs: Software
Mariana Text Classification System

Support Vector Machines (SVM) can be used as a binary classifier for a wide range of data and problems. For text, it is often used to determine automatically if a document belongs to a given topic category. Automatic and reliable classification of documents can be an invaluable tool for industries that monitor...

Briefs: Information Technology
Marshall MRMS Mosaic Python Toolkit (MMM-Py)

This Python script will allow the user to read, analyze, and display National Oceanic and Atmospheric Administration (NOAA) Multi-Radar/Multi-Sensor(MRMS) mosaic tile files containing mosaic radar reflectivities on a national 3D grid. Simple diagnostics and plotting, as well as computation of...

Briefs: Software
Data Encoding and Parallelization Porting Techniques to Transform Binary Data Formats to Hadoop/MapReduce

The objective of this invention is to transform applications that process big data in arbitrary formats using the MapReduce parallel programming model and executed on the open-source Hadoop platform. Many legacy data-intensive applications...

Briefs: Information Technology
Framework Software Library Version 1.0

Within the space community, there is a need to exchange a wide variety of data between partner organizations. The Framework software library can be used to exchange any type of data between partners. It provides these core capabilities:

Briefs: Software
Crisis Mapping Toolkit (CMT) V1

The increasing availability of accessible geospatial data with a turnaround time of days or hours provides unique opportunities for responders to better plan responses to crises, and to inform victims, friends, and relatives of local crisis conditions. However, this raw data is not readily interpretable by the...

Briefs: Software
Real-Bogus Machine Learning Systems at the Intermediate Palomar Transient Factory

The intermediate Palomar Transient Factory (iPTF) is a wide-field sky survey of the optical transient sky (e.g., supernovae, variable stars) that uses image subtraction for the discovery of astronomical transients. Astronomical transients, such as supernovae, are...

Briefs: Information Technology
Scalable Gaussian Process Regression

Block GP is a Gaussian Process regression framework for multimodal data that can be an order of magnitude more scalable than existing state-of-the-art nonlinear regression algorithms. The framework builds local Gaussian Processes on semantically meaningful partitions of the data and provides higher prediction...

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