Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Chuhong Fei"'
Autor:
Chuhong Fei, George A. Lampropoulos, Xiang Cao, Juan Tao, Devin Zang, Ting Liu, Claudia Wu, Cindy Hu, Eric Morris
Publikováno v:
AI and Optical Data Sciences II.
Ultraviolet-visible (UV-Vis) spectroscopy is a well-established technique for real-time analyzing contaminants in finished drinking water and wastewater. However, it has struggled in surface water because surface water such as river water has more co
Publikováno v:
SPIE Proceedings.
The presented work is an extension of previous work carried out at A.U.G. Signals Ltd. The problem is approached herein for vessel identification/verification using Deep Learning Neural Networks in a persistent surveillance scenario. Using images wit
Publikováno v:
CCECE
Chemical coagulation process efficiently removes both natural organic matter and small colloidal particles that have negative impacts on taste, smell and appearance of treated water. The current practice requires regular manual intervention. In small
Publikováno v:
DSP
A coagulation optimization strategy was developed which utilizes the Wiener deconvolution filter to estimate steady-steady values, and then updates the optimization model using recursive kernel regression. The regression-based dose controller is capa
Publikováno v:
DPS
This paper proposes a new Markov-chain-based constant false alarm rate (CFAR) detector for polarimetric data using low-level data fusion and high-level decision fusion. The Markov-chain-based CFAR detector extends traditional probability density func
Publikováno v:
IEEE Transactions on Information Forensics and Security. 4:179-192
This paper studies the problem of achieving watermark semifragility in watermark-based authentication systems through a composite hypothesis testing approach. Embedding a semifragile watermark serves to distinguish legitimate distortions caused by si
Publikováno v:
IEEE Transactions on Information Forensics and Security. 1:43-55
This paper focuses on a coding approach for effective analysis and design of secure watermark-based multimedia authentication systems. We provide a design framework for semi-fragile watermark-based authentication such that both objectives of robustne
Publikováno v:
2011 2nd International Conference on Space Technology.
The objective of this paper is to study recent advancements in estimation lower bound classification results. These lower bounds are estimated for a given set of features, targets, Signal to Noise Ratios (SNRs), and representative clutter environment
Publikováno v:
WIFS
This paper proposes a secure semi-fragile authentication watermarking algorithm for natural images by embedding two complementary watermarks for content change analysis. Two authenticator watermarks are generated and embedded in different regions of
Autor:
George A. Lampropoulos, Chuhong Fei, Vassilis Anastassopoulos, Ting Liu, K. Murnaghan, R. Sabry
Publikováno v:
2008 IEEE Radar Conference.
The paper proposes a novel constant false alarm rate (CFAR) detector using Markov chain models, an innovative new technique that will utilize the finer resolution of RADARSAT-2 to yield improved detection performance for higher-resolution objects. Th