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of 63
pro vyhledávání: '"Richard W. Conners"'
Publikováno v:
IEEE Transactions on Information Forensics and Security. 8:1173-1181
This paper introduces a Discrete Fourier Transform (DFT)-based algorithm to extract the Electric Network Frequency (ENF) information from an audio recording for use in audio authentication. The basic idea of the proposed algorithm is to calculate the
Publikováno v:
IEEE Transactions on Power Delivery. 27:1820-1828
Frequency is an important parameter for the operation and control of power systems. One novel application of frequency measurements involves using this information to authenticate a digital audio/video recording presented as forensic evidence in lega
Autor:
Richard W. Conners, Jason Bank, Penn Markham, J. Burgett, Zhongyu Wu, Yingchen Zhang, Lang Chen, Yanzhu Ye, Yilu Liu, Tao Xia, Zhiyong Yuan, Lei Wang
Publikováno v:
IEEE Transactions on Smart Grid. 1:159-167
Recent developments in smart grid technology have spawned interest in the use of phasor measurement units to help create a reliable power system transmission and distribution infrastructure. Wide-area monitoring systems (WAMSs) utilizing synchrophaso
Publikováno v:
Measurement. 15:201-209
A non-intrusive method for obtaining index of refraction (density) turbulent fluctuation levels from shadowgraph photographs of high-speed flows is presented. The application of modern image processing techniques to shadowgraphs allowed critical comp
Publikováno v:
2012 IEEE Power and Energy Society General Meeting.
The Frequency Monitoring Network (FNET) has provided a low-cost and easy way to collect wide-area frequencies with high dynamic accuracy in North American power grids. In practice, frequency measurements collected by the Frequency Disturbance Recorde
Publikováno v:
2011 IEEE Power and Energy Society General Meeting.
The Electrical Network Frequency (ENF) criterion is a novel method for digital audio recording authentication in the field of forensic science. Both an accurate frequency estimation method and a reliable frequency reference database are the key requi
Autor:
Tai-Hoon Cho, Chong T. Ng, Richard W. Conners, Philip A. Araman, Thomas H. Drayer, Robert L. Brisbin
Publikováno v:
Industrial Metrology. 2:317-342
Any automatic system for grading hardwood lumber can conceptually be dividedinto two components. One of these is a machine vision system for locating and identifying grading defects. The other is an automatic grading program that accepts as input the
Publikováno v:
Proceedings of IECON'94 - 20th Annual Conference of IEEE Industrial Electronics.
Data collection and transfer devices are critical to the performance of any machine vision system. The interface described in this paper collects image data from a color line scan camera and transfers the data obtained into the system memory of a Mic
Autor:
Richard W. Conners, Tai-Hoon Cho
Publikováno v:
IJCNN-91-Seattle International Joint Conference on Neural Networks.
A knowledge-based machine vision system for industrial web inspection that is applicable to a broad spectrum of different inspection tasks is proposed. The main function of the machine vision system is to detect undesirable defects that can appear on
Publikováno v:
Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.
The authors present a rule-based, three-dimensional (3-D) vision system for locating and identifying wood defects using topological, geometric and statistical attributes. A number of different features can be derived from the 3-D input scenes. These