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Cornell University's Masters of Professional Studies Program Uses TI-Developed "ACCEPT" Software
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Cornell University's Masters of Professional Studies Program Uses TI-Developed "ACCEPT" Software

Dr. Rodney Martin’s Open-Source Adverse Condition and Critical Event Prediction Toolbox (ACCEPT) was used for Cornell University’s Masters of Professional Studies (MPS) program. A spring semester project, sponsored by the Data Sciences Group, focused on using ACCEPT to investigate occupant temperature reports at Sustainability Base, a Leadership in Energy and Environmental Design (LEED) Platinum (top certification level) office building at the Ames campus. A group of eight students were split into two teams: one working with ACCEPT, and the other working with tools in the ‘R’ programming language. Student feedback from working with ACCEPT will inform future research and development efforts. In addition to the Cornell MPS students, the final project presentation included participation from students and faculty from the University of Southern Denmark, and a former intern from the University of the West Indies, St. Augustine Campus.

BACKGROUND: Cornell University’s Masters of Professional Studies (MPS) program is run within Cornell University’s Statistics department and offers world-class training in applied statistics and preparation for the 21st-century workplace. For the past several years, the Data Sciences Group has sponsored spring semester projects for the MPS Program.

The Open-Source Adverse Condition and Critical Event Prediction Toolbox (ACCEPT) and supporting plugins provide a powerful architectural framework to compare and contrast the performance of a variety of machine-learning and early-warning algorithms, testing the capability of these algorithms to robustly predict the onset of adverse events in any systems or processes that generate time-series data. It was developed initially under the umbrella of aeronautics projects to find adverse events in data from commercial aircraft fleets. ACCEPT is currently being used by several research organizations – including Carnegie-Mellon University, Silicon Valley Campus; Southern Denmark University’s Center for Energy Informatics; Cornell University’s Statistics Department; and the Electric Power Research Institute – to identify factors leading to faults or inefficient operations in buildings.

The software can be obtained here: Open-Source ACCEPT software, with version updates posted here: Latest ACCEPT version updates .

NASA PROGRAM FUNDING: ACCEPT was funded in part by the System-wide Safety Assurance Technologies project in the Aviation Safety Program, and the Shadow Mode Assessment Using Realistic Technologies for the National Airspace System (SMART-NAS) project in the Airspace Operations and Safety Program (AOSP), both under the Aeronautics Research Mission Directorate (ARMD); and Center Management and Operations.

COLLABORATORS: Cornell University: David Ruppert (MPS Program Director), Stanislav Volgushev (MPS Faculty Advisor), and Xiaolong Yang (MPS Program Associate Director); Students: Hendrik Brutsaert, Xiang Chen, Yuan Gao, Yosub Rim, Yicheng Wang, Yunfei Xie, Jiahui Yuan, and Shuting Zhao.

POINT OF CONTACT: Rodney Martin, rodney.martin@nasa.gov

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