Skip directly to content

Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:FLORIDA ATLANTIC UNIVERSITY
Doing Business As Name:Florida Atlantic University
PD/PI:
  • Borko Furht
  • (561) 297-3486
  • borko@cse.fau.edu
Co-PD(s)/co-PI(s):
  • Abhijit S Pandya
  • Hari Kalva
  • Ankur Agarwal Dr
  • Shihong Huang
Award Date:08/11/2009
Estimated Total Award Amount: $ 307,500
Funds Obligated to Date: $ 414,500
  • FY 2011=$61,500
  • FY 2012=$77,500
  • FY 2010=$86,500
  • FY 2014=$41,000
  • FY 2013=$86,500
  • FY 2009=$61,500
Start Date:08/15/2009
End Date:07/31/2016
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:Center for Advanced Knowledge Enablement - FAU Site
Federal Award ID Number:0934339
DUNS ID:004147534
Parent DUNS ID:159621697
Program:IUCRC-Indust-Univ Coop Res Ctr
Program Officer:
  • Dmitri Perkins
  • (703) 292-0000
  • dperkins@nsf.gov

Awardee Location

Street:777 GLADES RD
City:BOCA RATON
State:FL
ZIP:33431-6424
County:Boca Raton
Country:US
Awardee Cong. District:22

Primary Place of Performance

Organization Name:Florida Atlantic University
Street:777 GLADES RD
City:BOCA RATON
State:FL
ZIP:33431-6424
County:Boca Raton
Country:US
Cong. District:22

Abstract at Time of Award

IIP 0934339 Florida Atlantic University Furht Florida Atlantic University (FAU) is planning to join the existing Industry/University Cooperative Research Center (I/UCRC) entitled "Center for Advanced Knowledge Enablement" (CAKE) which was established as a single-university Center in 2008 at Florida International University (FIU). CAKE conducts research in performance studies, benchmark evaluations, and the application of novel algorithms, routines, data models, network analyses and software tools to large-scale data sets. The goal of the FAU site is to provide the synergy to the Center, include additional industry partners, and provide collaboration between FIU and FAU researchers, and industry partners. The FAU faculty of the proposed I/UCRC site will carry out research in existing and new technologies for various Web-based applications, video compression and communication, video transcoding systems and servers, next generation of hardware/software development techniques and tools for mobile devices, and RFID-based automation systems. The research plans at the FAU site are well laid out and promise high likelihood of success. The activities proposed have a wide ranging impact on the industry for improved application of data management and access. The addition of FAU as a research site helps the Center expand the interaction of researchers, students, and industry members beyond one university, and broadens participation of underrepresented groups in several ways. FAU plans to expand opportunities of mentoring and graduating computer scientists from under-represented populations at the BS, MS, and PhD levels, and will extensively involve female students via its faculty affiliation with the FAU's Women in Computer Science student organization. FAU also plans to include other US universities and international collaboration in the framework of the Latin American Grid Project, an existing NSF PIRE project, and other collaborations with European, South American, and Asian universities.

Publications Produced as a Result of this Research

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

H. Kalva, A. Colic, and B. Furht "Parallel Programming for Multimedia Applications" Special Issue on Hot Topics in Multimedia, International Journal of Multimedia Tools and Applications, Springer, February 2011., v., 2011, p..

Vishesh Ved, Vivek Tyagi, Ankur Agarwal, and A. S. Pandya "Personal Health Record System and Integration Techniques with Various Electronic Medical Record Systems" IEEE Systems Engineering Conference, 2010., v., 2010, p..

Z. Li and X. Wang "Utility Maximization over Ergodic Capacity Region of Fading OFDMA Channels" IEEE Transactions on Wireless Communications, v.11, 2012, p.2478-2485. doi:11 

J. Carmignani, B. Furht, M. Anosetti, P. Caravolo, E. Damiani, and M. Ivkovic "Augmented Reality Technologies and Applications" Special Issue on Survey Papers in Multimedia by World Experts, International Journal of Multimedia Tools and Applications, Springer, January 2011., v., 2011, p..

A. S. Pandya, S. Hsu, R. Stone, S. Saxena "Knowledge Discovery through data visualization of Drive test Data" International Journal of Computer Science and Security Vol. 3, no. 6, pp. 559-568, 2010, v.3, 2010, p.559.

Ankur Agarwal, Nathan Henehan, Vivek Somashekarappa, A. S. Pandya, Hari Kalva, and Borko Furht "A Cloud Computing Based Patient Centric Medical Information System" Handbook of Cloud Computing, Springer, 2010, v., 2010, p..

X. Wang, Z. Li, and J. Wu "Joint TCP Congestion Control and CSMA Scheduling without Message Passing" IEEE Transactions on Wireless Communications, v.12, 2013, p..

H. Kalva, O. Marques, and B. Furht "Event Detection in Video using Motion Analysis" ACM Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams, Firenze, Italy, October 2010., v., 2010, p..

D. Jaramillo, B. Furht, and A. Agarwal "Virtualization Techniques for Mobile Devices" International Review on Computers and Software, v.8, 2013, p..

Huang, S. and Mulcahy, J. J. "Software Reuse in the Evolution of an E-Commerce System: A Case Study" International Journal of Computing & Information Technology (IJCIT), Vol 2, No 1. January â?? June 2010, International Science Press, Serials Publications, New Delhi, India., v.2, 2010, p..

Huang, S. and Mulcahy, J. J. "Software Reuse in the Evolution of an E-Commerce System: A Case Study" International Journal of Computing & Information Technology (IJCIT), Vol 2, No 1. January â?? June 2010, International Science Press, Serials Publications, New Delhi, India., v.2, 2010, p..

Saeed A. Rajput, A. S. Pandya, S. Saxena and MinSoo Suk "Statistical Approach for Analyzing Cell Phone Handoff Behavior" Computing and Architecture, v.3, 2009, p..

B. Furht "Cloud Computing Fundamentals" a chapter in Handbook of Cloud Computing, Springer Science and Business Media, 2010., v., 2010, p..

"Fingerprint ROI Segmentation Using Fourier Coefficients and Neural Networks" 23rd Telecommunications Forum (TELFOR 2015), v., 2015, p..

R. Friedel, O. Figuerola, H. kalva, and B. Furht "Asset Identification Using Image Descriptors" Multimedia Tools and Applications, v., 2014, p.1.

H. Kalva, V. Adzic, and B. Furht "Content Adaptation for Mobile Devices: A Survey" Special Issue on Survey Papers in Multimedia by World Experts, International Journal of Multimedia Tools and Applications, Springer, January 2011., v., 2011, p..

Varuna Gupta, Abdelkader Mazouz, Ankur Agarwal, and Georgiana Hamza-Lup "A Statistical Model for System Component Selection" IEEE Systems Engineering Conference, 2010., v., 2010, p..

A. Marcus, I. Cardei, B. Furht, O. Salem, and A. Mehaoua "A Mobile Device Prototype Application for the Detection and Prediction of Node Faults in Wireless Sensor Networks" Special Issue of the International Journal of Soft Computing and Software Engineering,, v.3, 2013, p..

V. Aalo and C. Mukasa "Impact of interference on the coverage and connectivity of Ad hoc networks in a fading environment" International Journal of Electronics and Communications, v.60, 2015, p.1094.

A. Garcia, H. Kalva, and B. Furht "A Study of Transcoding on Cloud Environments for Video Content Delivery," ACM Workshop on Mobile Cloud Media Computing, Firenze, Italy, October 2010., v., 2010, p..

A. S. Pandya, S. Hsu, R. Stone, S. Saxena "Knowledge Discovery through data visualization of Drive test Data" International Journal of Computer Science and Security, v.3, 2010, p.559.

M. M. Najafabadi, F. Villanustre, T. Khoshgoftaar, N. Seliya, R. Wald, and E. Muharemagic "Deep Learning Applications and Challenges in Big Data Analytics" Journal of Big Data, v.2, 2015, p..

R. Friedel, O. Figuerola, H.Kalva, B. Furht "Asset Identification Using Image Descriptors" Multimedia Tools and Applications, v.TBD, 2013, p.TBD. doi:TBD 

K. P. Joshi, Ye. Yesha, A.A. Ozok, Ya. Yesha, A. Lahane, H. Kalva, A. Agarwal, and B. Furht, "User Centric Smart Services on the Cloud" a chapter in the book on Smart Internet, SITCON, 2010., v., 2010, p..

Chad Calvert, Georgiana L. Hamza-Lup, and Ankur Agarwal "An Integrated Component Selection Framework for System Level Design" IEEE Systems Engineering Conference, 2010., v., 2010, p..


Project Outcomes Report

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The research focus of the Center is in the field of advanced knowledge enablement with the focus on areas of big data analytics, multimedia and data mining, video and multimedia processing, and cloud computing systems, sensors and networks. These are all synergetic activities needed to complete the applied research projects. Research projects were interdisciplinary in their nature with the focus on applications in medical and healthcare, environmental, and mobile, public, and industrial applications. Figure 1 illustrates the research sub-areas and related vertical applications.

 In Phase I of the project, our I/UCRC CAKE at FAU established relationships with 29 member companies and received total memberships of approximately $2.68 million or in average $520,000 per year. We successfully completed 30 industry projects. We published 83 papers and books and had 5 patents, patent disclosures and software licenses. Total number of both graduate and undergraduate students trained through the Center was 74, with 58 students graduated.

The research activities and completed projects have great potential to advance knowledge within the proposed field of research as well across different fields including medical, healthcare, environmental, mobile, industrial, and public applications. The research projects were on leading edge of technology in the field of data and multimedia mining, big data analytics, and image and video processing, and their applications, and are based on long experience of involved faculty members and research results from

During Phase I of the I/UCRC CAKE, the majority of research projects were interdisciplinary and applied in their nature, so they had broader impacts. The results of the projects provided benefits to society in various application areas including medical, healthcare, environmental, public, and others.

The investigators have leveraged their track record of involving FAU students from under-represented groups. FAU is one of the U.S. universities with the highest number of Hispanic students, who were actively recruited to participate in the projects.

We describe two examples of the completed research projects and obtained results. The project on developing a “Driver's Drowsiness Detection System” combines smartphones with machine learning to detect drowsiness in real time. In this project we developed and implemented a driver drowsiness detection system based on visual input, such as driver’s face and head. Our innovative algorithm combines software components for face detection, human skin color detection, and the classification algorithm for the eye state (open vs. closed). The system uses commercially available devices, Users’ smartphones are used to monitor drivers. Visual cues are then used to detect signs of drowsiness, and, when signs of drowsiness are detected, the system issues an alert. The system uses innovative machine learning algorithms that continuously monitor driver behavior, and alerts the driver in real time when certain thresholds are met. Once in place, it begins a training process to determine the baseline head position and eye movement. After this calibration, real time monitoring begins, sending the alarm if the head dips or eyes close for prolonged periods; both are indicating that the driver is falling asleep. Four stages of the system are shown in Figure 2.

In the project on “Modeling Ebola Spread Using Big Data Analytics,” a model of Ebola spread was developed by using innovative big data analytics techniques and tools. Massive amounts of data from various sources including Twitter feeds, Facebook and Google were used. This data was then fed into a decision support system that models the spread pattern of the Ebola virus and creates dynamic graphs and predictive diffusion models on the outcome and impact on either a specific person or a specific community. As a result of this research, computational spread models for Ebola in the U.S. are created, potentially leading to more precise forward predictions of the disease propagation and tools to help identify individuals who are possibly infected, and perform trace-back analysis to locate the possible source of infection for a particular social group.  We closely collaborated with LexisNexis Risk Solutions (LN), which is a leading big data company and a member of our I/UCRC for Advanced Knowledge Enablement. LN has provided the large amount of data about relationships among people in the U.S., and we combined it with data analytics techniques and tools to model disease spread patterns.

Jointly with the LN research team, people clusters were created based on proximity and a model using weighted scores was built, which approximated physical contacts (Figure 3). In creating people clusters, we used public record graphs to calculate distances between an affected person and his/her relatives and friends. Based on this model, the disease propagation path was developed.

As I/UCRC CAKE continues to grow in Phase II of the project, the Center, jointly with FIU as the lead site, will build a cohesive structure spanning multiple institutions by enabling extended research visits at partner sites for both faculty and students.

 


Last Modified: 08/04/2016
Modified by: Borko Furht

For specific questions or comments about this information including the NSF Project Outcomes Report, contact us.