Technology Transfer

Software and Downloads

APL is the owner of many original works of authorship that are protected by copyright—the intangible property right granted by federal statute for an original work fixed in a tangible medium. The following samples provide an in-depth view of available works and are taken from the Laboratory’s hundreds of copyrighted materials available for license.

Contact us at the Office of Technology Transfer for more information and to obtain permission to exercise one or more of the rights under copyright, including the right to reproduce, prepare derivative works, distribute by sale or otherwise, perform, and/or display publicly.


This research system enables simplified dynamic access to unrelated data sources through the internet.

Learn more >>

Cloud Computing 101: A Primer for Project Managers

This Amazon-published book by an APL author is intended to help project managers and other nontechnical staff better understand cloud computing.

Learn more >>

Feature Selection Methods for Zero-Shot Learning of Neural Activity

This MATLAB code may be used to replicate the results published in the manuscript (reference 1), building zero-shot prediction models to classify previously unseen stimuli through neural signals and semantic attributes. The code incorporates feature extraction, feature selection, training, and testing through leave-one-class-out cross-validation, and the analysis of the results concentrating on the feature selection variations. For more information, please refer to reference 2.

Learn more >>

Material for Courses and Tutorials in Model-Based Systems Engineering

Model-based systems engineering is the formalized application of modeling to support system requirements, design, analysis, verification, and validation activities beginning in the conceptual design phase and continuing throughout development and later life-cycle phases.

Learn more >>

Passive Forensic Identification of Network TCP/IP Communication Endpoints

This passive network system identifies specific machines through remote network fingerprinting.

Learn more >>

Signature Classification Development System

This system offers point-and-click programming for automated image/signal analysis and classification for large quantities of data.

Learn more >>

Small Fixed-Wing UAS State Estimation Examples (SUAS Code)

SUAS Code is a set of heavily commented MATLAB® routines that provide example methods for performing state estimation (i.e., position and orientation) of a fixed-wing unmanned aircraft system (UAS) using GPS, gyros, accelerometers, and a magnetometer as sensors. The code is meant as a companion to the Johns Hopkins APL Technical Digest article “Fundamentals of Small Unmanned Aircraft Flight.”

Learn more >>