25 18 20 25 Autonomic Intelligent Cyber Sensor (AICS) Autonomic Intelligent Cyber Sensor (AICS) is an artificial intelligence breakthrough that can protect the nation’s critical infrastructure from cyberattack. AICS works autonomously to quickly identify and divert hackers, using machine learning to identify and map industrial control systems. It can identify anomalous network traffic, alert operators and deploy virtual decoys to slow or halt hacking attempts. AICS sets up and continually updates decoy virtual hosts – honeypots – to distract attackers from targets, giving asset owners the ability and time to gather information that can help identify both a hacking threat and a potentially compromised system. Todd Vollmer, Craig Rieger, Milos Manic Multi-hazard Analysis for STOchastic time-DOmaiN phenomena (MASTODON) MASTODON is a computer simulation program that brings radical changes to the seismic design process by using patented modeling and simulation methodology and realistic numerical models. It optimizes seismic design for both safety and cost by prioritizing the structural components that contribute most to safety. Combining seismic simulation, probabilistic risk assessment and design optimization, MASTODON can be used in the planning of any structure in which public safety or taxpayer money are at risk due to a possible seismic event. Justin Coleman, Swetha Veeraraghavan, Andrew Slaughter, Chandrakanth Bolisetti, William Hoffman, Efe Kurt, Richard Martineau High-Moisture Pelleting Process (HMPP) Before biomass can become a large-scale energy commodity, it needs to be processed into a uniform product such as pellets. Idaho National Laboratory researchers realized they could eliminate a drying step and save a significant amount of energy. Frictional heat drives off 5 to 10 percent of the biomass moisture. Pellets are then dried to about 9 percent moisture content in a low-temperature grain dryer, which is more energy efficient than a traditional rotary dryer. The High-Moisture Pelleting process offers a consistent quality bioenergy product at a fraction of the cost. Jaya Shankar Tumuluru BISON Modeling Code BISON is a computer code that models how nuclear fuel will perform once it is inside an operating reactor. The BISON code makes advanced computing power more accessible to engineers who understand fuel properties but have previously lacked the computer science resources needed to create advanced simulations. Using existing data from experiments along with engineering equations that describe physical properties such as thermal expansion or heat transfer, BISON can create powerful 2D and 3D fuel simulations that are truly predictive. Jason Hales, Richard Williamson, Albert Casagranda, Kyle Gamble, Russell Gardner, Wenfeng Liu, Stephen Novascone, Giovanni Pastore, Stephanie Pitts, Benjamin Spencer On-Site Inspection RadioIsotopic Spectroscopy Osris – On-Site Inspection RadioIsotopic Spectroscopy – is a portable, rugged gamma ray spectroscopy and laptop computer system for nuclear explosion detection that can be taken anywhere in the world to perform precise on-site inspections. Because various countries may disagree about which radioisotopes at a test site raise security concerns, Osiris uses a “data filter” to limit the information it collects to 17 fission- product radioisotopes agreed upon by international technical experts. Gus Caffrey, Kenneth Krebs and Jayson Wharton with Brian Milbrath, Glen Warren and Mital Zalavadia of Pacific Northwest National Laboratory, and Nathan Wimer of Lawrence Livermore National Laboratory All-Hazards Analysis (AHA) All Hazards Analysis (AHA) is a dynamic real-time dependency analysis framework for critical infrastructure risk analysis. It identifies hidden dependencies and associated risks, giving decision-makers a comprehensive view of interconnected systems before taking action. Because AHA continually learns, it can blend general and facility dependency profiles with new information and changing network structure. Ryan Hruska, Kent McGillivary, Mary Klett, Shad Staples WINNER 2018 WINNER 2018