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April 30, 2020
EVENT HORIZON BLOG: I've been heavily involved in a standards effort called the Sensor Open Systems Architecture, or SOSA. SOSA is interesting because it’s a government/industry consortium formed with the goal to create a hardware/software standard aimed at making it much easier to integrate and maintain defense sensor systems. As it is a huge undertaking with something like 70 organizations participating and usually upwards to 150 people at each semi-monthly face-to-face, there is a lot to say about SOSA. Today I'll discuss VPX and SOSA, but I’ll be touching on different aspects of SOSA over the coming months as there is far too much to tackle in a single blog post.
February 28, 2020
Hello and welcome to Event Horizon, my periodic blog about embedded technologies, defense systems, and anything generally tech-related that I might find interesting (and hopefully you as well). I’d like to thank the kind folks at OpenSystems Media, and especially John McHale, Editorial Director at Military Embedded Systems Magazine for giving me a little space where I can muse on various topics that strike my interests.
November 20, 2019
February 03, 2017
Electronic warfare (EW) systems are among the most challenging embedded systems to design and deploy. Not only do they require voracious amounts of signal processing, they also require more mundane server-style processing (for signal library maintenance, data logging, etc.) and are often packaged in extremely size, weight, and power (SWaP)-constrained environments such as under wing pods. As a result, advanced EW systems can benefit from consolidating workloads on a single machine with the means to efficiently execute these two very different processing problems using parallel virtual machine (VM) execution. Modern commercial off-the-shelf (COTS) 3U VPX boards based on Intel server-class processors are a compelling option for these sorts of systems.
October 31, 2016
The long-sought era of machine learning in finally at hand. The potential benefit to the warfighter of deep learning techniques both enormous and profound. With defense systems trending towards greater application autonomy, deep learning techniques too complex to implement with more traditional processing technologies can now help to significantly drive advancements in on-platform processing of streaming signal or image data. These techniques are proving useful for pattern recognition tasks such as natural language processing and image feature detection, producing highly reliable autonomous decisions based on huge data sets.
Articles 1 - 5