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Institution

Florida Polytechnic University

EducationLakeland, Florida, United States
About: Florida Polytechnic University is a education organization based out in Lakeland, Florida, United States. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 302 authors who have published 538 publications receiving 6549 citations. The organization is also known as: Florida Poly.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a case study is presented describing a scenario whereby a nano-enabled biocidal paint is considered for a remediation effort to reduce growth of dark molds and bacteria on refrigerated warehouses.

13 citations

Book ChapterDOI
11 Jul 2006
TL;DR: In this article, a hand segmentation tool is proposed to assist with the localization of hand pixels, which is important for the purpose of recognition. But it does not provide a hand tracking function and face detection function.
Abstract: We have developed a video hand segmentation tool which can help with generating hands ground truth from sign language image sequences. This tool may greatly facilitate research in the area of sign language recognition. In this tool, we offer a semi automatic scheme to assist with the localization of hand pixels, which is important for the purpose of recognition. A candidate hand generator is applied by using the mean shift image segmentation algorithm and a greedy seeds growing algorithm. After a number of hand candidates is generated, the user can reduce the candidates by simple mouse clicks. The tool also provides a hand tracking function for faster processing and a face detection function for groundtruthing non manual signals. In addition, we provided a two-passes groundtruthing scheme unlike other tools that only does one-pass. Our first pass processing is automatic and does not need user interaction. The experiment results demonstrate that based on the first pass's result, one can groundtruth 10,000+ frames of sign language within 8 hours

13 citations

Journal ArticleDOI
TL;DR: An interconnected distributed architecture for storing data and metadata in large-scale cloud storage systems and a coordination protocol is designed for communication among file servers, and maintaining user transparency in the presence of different file system actions/reactions is presented.
Abstract: This paper presents an interconnected distributed architecture for storing data and metadata in large-scale cloud storage systems. The primary goal of the proposed architecture is to enhance the scalability of namespace directory in large-scale file systems. Structural shift from distinguished distributed model to interconnected distributed model and conducting effective coordination among file servers for namespace management are two key solutions considered in the context of proposed architecture. To this intent, a coordination protocol is designed for communication among file servers, and maintaining user transparency in the presence of different file system actions/reactions. The experimental results, obtained via emulations under different network conditions and cloud storage sizes, show up to 43.9% availability and 37.8% connection throughput improvements with negligible storage overhead compared to the latest released version of Hadoop distributed file system.

12 citations


Authors

Showing all 307 results

NameH-indexPapersCitations
Douglas S. Reintgen8431525912
Zhong-Ping Jiang8159724279
Robert Steele7449221963
Yao Wang6754719762
Ajeet Kaushik492137911
Hung-Hsiang Jonathan Chao441705819
Ian D. Bishop381504374
Dariusz Czarkowski321964602
Garrett S. Rose321644031
Robert I. MacCuspie30523140
Thanasis Korakis292174207
Richard E. Plank28732636
Richard J. Matyi271233555
Sesha S. Srinivasan25971948
Scott L. Wallen24484385
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202210
2021122
2020113
201978
201860