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CoSPA and Traffic Flow Impact Operational Demonstration for the 2017 Convective Season(4.48 MB)

Date:
May 7, 2018
Published in:
Project Report ATC-441, MIT Lincoln Laboratory
Type:
Project Report
Topic:

Summary

MIT Lincoln Laboratory personnel conducted field observations of the Consolidated Storm Prediction for Aviation (CoSPA) 8-hr deterministic convective forecast, and the decision support tool, Traffic Flow Impact (TFI), from 6 June to 31 October 2017. Four field observations were performed during the demonstration period.

Preliminary UAS Weather Research Roadmap(1.51 MB)

Date:
November 3, 2017
Published in:
Project Report ATC-438, MIT Lincoln Laboratory
Type:
Project Report
Topic:

Summary

A companion Lincoln Laboratory report (ATC-437, “Preliminary Weather Information Gaps for UAS Operations”) identified initial gaps in the ability of current weather products to meet the needs of UAS operations. Building off of that work, this report summarizes the development of a proposed initial roadmap for research to fill the gaps that were identified.

Preliminary Weather Information Gap Analysis for UAS Operations(4.88 MB)

Date:
November 2, 2017
Published in:
Project Report ATC-437, MIT Lincoln Laboratory
Type:
Project Report
Topic:

Summary

Unmanned Aircraft System (UAS) operations in the National Airspace System (NAS) are rapidly increasing. For example, 2017 has seen dramatically increased low altitude UAS usage for disaster relief and by first responders. The ability to carry out these operations, however, can be strongly impacted by adverse weather conditions. This report documents a preliminary quick-look identification and assessment of gaps in current weather decision support for UAS operations.

Wind Information Requirements for NextGen Operations Phase 5 Report(13.64 MB)

Date:
August 22, 2017
Published in:
Project Report ATC-439, MIT Lincoln Laboratory
Type:
Project Report
Topic:

Summary

NextGen applications with time-based control elements, such as required time of arrival (RTA) at a meter fix under 4D trajectory-based operations (4D-TBO)/time of arrival control (TOAC) procedures or assigned spacing goal between aircraft under Interval Management (IM) procedures, are subject to the quality of the atmospheric forecast utilized by participating aircraft. The work described in this report summarizes the major activities conducted in the current phase of this program which builds upon prior work.

Report on the 2016 CoSPA and Traffic Flow Impact Operational Demonstration(4.64 MB)

Date:
June 1, 2017
Published in:
Project Report ATC-433, MIT Lincoln Laboratory
Type:
Project Report
Topic:

Summary

The 2016 Storm Prediction for Aviation (CoSPA) Demonstration was conducted from 1 June to 31 October 2016. As part of the demonstration, Federal Aviation Administration (FAA) facilities and commercial airlines were visited by MIT Lincoln Laboratory (MIT LL) observers, including initial training visits. Targeted field observations were conducted to gather information on how the CoSPA weather forecast was used in operations, to obtain feedback on new capabilities, and to collect comments for improvement.

Wind Information Requirements for NextGen Applications Phase 4 Final Report(5.87 MB)

Date:
March 6, 2017
Published in:
Project Report ATC-431, MIT Lincoln Laboratory
Type:
Project Report
Topic:

Summary

Many NextGen applications depend on access to high accuracy wind data due to time-based control elements, such as required time of arrival at a meter fix under 4D-Trajectory-Based Operations/Time of Arrival Control procedures or compliance to an assigned spacing goal between aircraft under Interval Management procedures. The work described in this report summarizes the activities conducted in FY15, which builds upon prior work.

Approaches for Language Identification in Mismatched Environments

Date:
December 13, 2016
Published in:
Proceedings of SLT 2016, San Diego, Calif.
Type:
Conference Paper

Summary

In this paper, we consider the task of language identification in the context of mismatch conditions. Specifically, we address the issue of using unlabeled data in the domain of interest to improve the performance of a state-of-the-art system.

Bootstrapping and Maintaining Trust in the Cloud(469.63 KB)

Date:
December 5, 2016
Published in:
Proceedings of the 32nd Annual Computer Security Applications Conference, ACSAC 2016
Type:
Conference Paper

Summary

Today's infrastructure as a service (IaaS) cloud environments rely upon full trust in the provider to secure applications and data. In this paper we introduce keylime, a scalable trusted cloud key management system. Keylime provides an end-to-end solution for both bootstrapping hardware rooted cryptographic identities for IaaS nodes and for system integrity monitoring of those nodes via periodic attestation.

Terminal Flight Data Manager (TFDM) Environmental Benefits Assessment(2.35 MB)

Date:
November 10, 2016
Published in:
Project Report ATC-420, MIT Lincoln Laboratory
Type:
Project Report

Summary

This work monetizes the environmental benefits of Terminal Flight Data Manager (TFDM) capabilities which reduce fuel burn and gaseous emissions, and in turn reduce climate change and air quality effects.

Leveraging Data Provenance to Enhance Cyber Resilience(273.48 KB)

Date:
November 3, 2016
Published in:
Proceedings of 1st IEEE Cybersecurity Development Conference (SecDev'16), Boston, Mass.
Type:
Conference Paper

Summary

Creating bigger and better walls to keep adversaries out of our systems has been a failing strategy. The recent attacks against Target and Sony Pictures, to name a few, further emphasize this. Data provenance is a critical technology in building resilient systems that will allow systems to recover from attackers that manage to overcome the “hard-shell” defenses. In this paper, we provide background information on data provenance, details on provenance collection, analysis, and storage techniques and challenges.