Acquisition of Laser Doppler Vibrometers for a Computational Vibrometry System: from Microscopy Analysis to Remote Surveillance and Inspection
Abstract
The National Defense Authorization Act for Fiscal Year (FY) 2016 and the Department of Defense (DoD) Appropriations Act for 2016 allocated $28M to assist Historically Black Colleges and Universities and Minority-Serving Institutions (HBCU/MI). The program aims to (a) enhance research programs and capabilities in scientific and engineering disciplines critical to the national security functions of DoD; (b) enhance the capacity of HBCU/MI to participate in defense research programs and activities; and (c) increase the number of graduates, including underrepresented minorities, in fields of science, technology, engineering, and mathematics (STEM) that are important to the defense mission. The FY 2016 DoD HBCU/MI Research and Education Program Broad Agency Announcement (BAA) solicited proposals from single investigators at HBCUs and MIs for the acquisition equipment and instrumentation in scientific areas important to one or more the three defense research offices, namely: Army Research Office (ARO); Office of Naval Research (ONR); and the Air Force Office of Scientific Research (AFOSR). All equipment/instrument grant awards made under this program will have a 12-month performance period. The equipment by this grant will establish an integrated Laser Doppler Vibrometry (LDV) sensor system. This new system will create a new lab to enable PI and Co-PIs to conduct research rather than relying on a collaborator outside of the institution, which will significantly expand the PIs capability to conduct scientific research. This system includes one Point LDV (PLDV) sensor, one Scanning LDV (SLDV) sensor, one microscope LDV analyzer, and the desktop and laptop computers to control and program the sensors. The remote and non-invasive measurements and the resultant high spatial and spectral signals generated by this system are of crucial interest to a broad spectrum of military applications from surveillance, detection to diagnosis, which will benefit the cutting-edge research and research related education in CCNY significantly.Research areas to be enabled by the LDV sensor system are expansive: ISR (Intelligence, Surveillance and Reconnaissance), smart sensing, infrastructural monitoring, environment protection, biomedical engineering, cancer treatment planning and delivery, remote vital sign detection, and the related computational models and methods for using LDVs in these applications, which are of utmost interest to DoD. LDVs are finding critical applications to these research areas due to its unique advantages. These three LDVs of different specifications in this sensor system collaboratively achieve unparalleled non-contact sensing capacities for applications from microscopy analysis to remote surveillance and inspection, thus helping human experts make better decisions. The immense sensing power of the LDV sensor system will be combined with the prowess of computation resources and advanced big data and machine learning algorithms to start a new research cluster called Computational Vibrometry, which will have wide scientific impacts in a great array of applications. The computational vibrometry system will train diversified students in CCNY and other institutions and high schools in using this powerful computational vibrometry system to conduct projects or on-field measurements in their science, technology, engineering and/or mathematics (STEM) subjects and topics critical to DoD missions such as computer science/engineering, biomedical engineering, bioinformatics, biology, medical science, civil engineering, among others, facilitated by the PIs and other users involved in this project. Thus students can receive valuable experience and training on how to conduct empirical data collection, processing, computational analysis and summarization, which can effectively appeal to their interests and attract them to pursue studies leading to both DoD and non-DoD related STEM careers.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 22, 2017
- Source ID
- W911NF1610462
Entities
People
- Jie Wei
Organizations
- Army Contracting Command
- City University of New York
- Office of the Secretary of Defense