Awards & Nominations
Legacy has received the following awards and nominations. Way to go!
Legacy has received the following awards and nominations. Way to go!
We developed an interactive platform that generates summaries and keywords of public NTRS documents through natural language processing. A user can see each document as a node and related papers as constellations linked by lines between nodes. Thus, if a node doesn't have a connection with another, its contents are different. Also, this platform allows users to search for relevant documents based on a phrase. Then, when a user queries a phrase, the platform will position it in front of a relevant node, and show a window with information about this. It makes easier the accessibility and discoverability of papers in the NTRS. Therefore, it helps democratize the access of space information.
Our team has developed a notebook with Python that can read a collection of PDF files of public NASA Technical Report Server documents , summarize them, and generate a list of topic keywords to help users to check the most important terms in the document that they have chosen. Most importantly, generation of summaries and keywords was made with natural language processing. The summaries were used to compute embeddings, a representation of the text used in semantic search to find relevant and similar papers.
We have also developed a prototype of an 3D interactive platform with three.js that allows users to search for a relevant document in 50 NTRS documents by a phrase. Then, when a user enters a phrase, our platform will position the camera in the relevant node that matches the search criteria and show a window with the paper information (title, authors, keywords, a summary, and a button that allows to see the original PDF). Each document is represented by a node which is a sphere. It can be connected with other nodes if they have content similarities. Therefore, if a node does not have a link with another, they have diferent content.
We believe that our tool will be a valuable and useful resource for democratizing the access to space data.
We used 50 papers of the public documents of the NASA Technical Report Server . Those were chosen randomly, and they had to be read and cleaned. The last was required because sometimes strange characters appeared. Subsequently, those texts were the input of two NLP models, and the results were their summaries and keywords. The summaries were used to compute embeddings, a representation of the text used in semantic search.
These are the documents that we use for our prototype:
Blade Tip Rubbing Stress Prediction
Evolution And Use Of Combined Mechanical And Thermal Codes For Cryogenic Turbopump Bearings
Adjustable Impedance, Force Feedback And Command Language Aids For Telerobotics (Parts 1-4 Of An 8-Part Mit Progress Report)
A Hybrid Architecture For The Implementation Of The Athena Neural Net Model
Methods And Strategies Of Object Localization
Planning 3-D Collision-Free Paths Using Spheres
Computational Neural Learning Formalisms For Manipulator Inverse Kinematics
Techniques And Potential Capabilities Of Multi-Resolutional Information (Knowledge) Processing
Satellite-Map Position Estimation For The Mars Rover
Planning Robot Actions Under Position And Shape Uncertainty
Organising Geometric Computations For Space Telerobotics
Model System Studies With A Phase Separated Membrane Bioreactor
Countermeasures To Microgravity
Fermentation And Oxygen Transfer In Microgravity
Film Boiling Transition Temperature For Tissue Cooled With Liquid Nitrogen
Theory Of Cubical Complexes With Applications To Diagnosis And Algorithmic Description Quarterly Report, 26 May - 10 Aug. 1970
Inflatable Honeycomb Patent
The Prediction Of Coronal And Interplanetary Magnetic Fields
Gas Lubricant Compositions Patent
Trajectory-Correction Propulsion System Patent
Null-Type Vacuum Microbalance Patent
Device For Directionally Controlling Electromagnetic Radiation Patent
Electrically-Operated Rotary Shutter Patent
Thermo-Protective Device For Balances Patent
Si/N,P/ And Si/N,Alpha/ Reaction Cross Sections At 14.5 Mev Neutron Energy
High Altitude Radiation Measurements Quarterly Report, 1 Jan. - 31 Mar. 1970
Some Performance Characteristics Of Divergent- Field Bombardment Thrusters
Radar Data Collection Mission, Addendum Final Report
Psychological Effects Of Substantial And Appetizing Menus For Submarine Personnel
Helicopter Testing In A Wind Tunnel
Flexible Foam Erectable Space Structures Patent
Pivotal Shock Absorbing Pad Assembly Patent
Effects Of Roughness On Heat Transfer In Conical Nozzles
Electrical Discharge Apparatus For Forming Patent
Investigation To Identify Paint Coatings Resistive To Microorganism Growth
Novel Shift Register Eliminates Logic Gates And Power Switching Circuits
The Deterioration Of Intermediate Moisture Foods
Probability Learning - The Shortest Path Hypothesis
Improved Smoke Generator For Low-Speed Wind Tunnels
Communications System For Zero-G Simulation Tests In Water
Digital Decoder For Phase-Delay Coded Data
Double Phase-Lock Loop With Rapid Transient Response - A Concept
Optimum Doping Achieves High Quantum Yields In Gaas Photoemitters
Cast Segment Evaluation
Insulation Assembly Uses Cryopumping To Reduce Heat Transfer In Cryogenic Liquid Line
Voltage Regulator Dissipates Minimal Power And Functions As A Voltage Divider
Use Of Cermet Thin Film Resistors With Nitride Passivated Metal Insulator Field Effect Transistor
New Procedure For Determining Minimum Time Orbit Transfers
Study-Simulation Of Space Station Dynamics
Treatment Of Blueberries Prior To Freeze Dehydration
This hackathon was a great experience. We learnt a lot about using 3D objects in web, working with NASA technical report server, extraction of pdf information, and how to solve problems using deep learning for natural language processing (NLP). Our team decided to choose this challenge because we think that NLP is a powerful branch that fits perfectly with this problem, so we applied it in our project. We are very proud to have won the local competition and to represent our country.
However, one of the hardest problems we faced was to calculate the coordinates for each node in the 3D space. We solved this problem by brainstorming and using a whiteboard. Also, another problem was the the processing of pdfs since these have different formats and sometimes strange characters were observed when reading them. Thus, we had to process those characters to have a clean text.
Overall, this was a great experience and we are very proud of our achievement.
#AI,#NLP,#NTRS,#paper,#visualization
The NASA Technical Report Server (NTRS) includes hundreds of thousands of items containing scientific and technical information (STI) created or funded by NASA. Imagine how difficult it can be to locate desired information in such a large repository! Your challenge is to develop a technique using Artificial Intelligence (AI) to improve the accessibility and discoverability of records in the public NTRS.

