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Pattern-Search-Based Algorithm for Ground-Motion Selection with Targeted Mean and Standard Deviation
International Journal of Steel Structures, 2021Ground-motion selection is essential as an input for dynamic structural analyses. Although recent studies have highlighted the importance of target variance as auxiliary criteria and introduced selection methods, they typically require a trade-off between computational expense and accuracy.
Gifari Zulkarnaen, Young K. Ju
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Journal of Glaucoma, 2000
To determine whether the use of pattern standard deviation instead of corrected pattern standard deviation, as part of Anderson's criteria, makes a difference in categorizing a single field printout using the full threshold strategy on the Humphrey's Field Analyzer.Forty-eight patients with glaucomatous field defects of varying severity underwent full ...
R, Thomas, P, Paul, J, Muliyil
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To determine whether the use of pattern standard deviation instead of corrected pattern standard deviation, as part of Anderson's criteria, makes a difference in categorizing a single field printout using the full threshold strategy on the Humphrey's Field Analyzer.Forty-eight patients with glaucomatous field defects of varying severity underwent full ...
R, Thomas, P, Paul, J, Muliyil
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Standard deviations of degree differences as indicators of mixing patterns in complex networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013Mixing patterns in social networks can give us important clues about the structure and functionality of these networks. In the past, a number of measures including variants of assortativity have been used to quantify degree mixing patterns of networks.
Gnana Thedchanamoorthy +2 more
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Iris pattern extraction using bit planes and standard deviations
Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2005Iris recognition has been shown to be very accurate for human identification. In this paper, we develop a technique for iris pattern extraction utilizing the least significant bit-plane: the least significant bit of every pixel in the image. Through binary morphology applied to the bit-plane, the pupillary boundary of the iris is determined. The limbic
B. Bonney +3 more
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Local Mean and Pattern Standard Deviation Map for Disease Staging in Glaucoma
2023Abstract For monitoring disease progression in glaucoma, perimetric measurements as global indices such as the mean deviation and standard pattern deviation for the visual field perimetry do not maintain a consistent diagnostic sensitivity over the entire data range.
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IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
The accuracy of an Artificial Neural Network (ANN) depends on the representativeness of the data used to train it. Although it is known that an ANN will function well as long as the pattern of the input data is similar to the testing data, there has been no research on the effect of data "similarity" on the accuracy of the network outputs.
Soo-See Chai +3 more
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The accuracy of an Artificial Neural Network (ANN) depends on the representativeness of the data used to train it. Although it is known that an ANN will function well as long as the pattern of the input data is similar to the testing data, there has been no research on the effect of data "similarity" on the accuracy of the network outputs.
Soo-See Chai +3 more
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IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2013
Interferometry provides a high degree of accuracy in the measurement of sub-micrometer deformations; however, the noise associated with experimental measurement undermines the integrity of interference fringes. This study proposes the use of standard deviation in the temporal domain to improve the image quality of patterns obtained from temporal ...
, Chien-Ching Ma, , Ching-Yuan Chang
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Interferometry provides a high degree of accuracy in the measurement of sub-micrometer deformations; however, the noise associated with experimental measurement undermines the integrity of interference fringes. This study proposes the use of standard deviation in the temporal domain to improve the image quality of patterns obtained from temporal ...
, Chien-Ching Ma, , Ching-Yuan Chang
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17th Congress of the International Commission for Optics: Optics for Science and New Technology, 1996
The electronic speckle pattern interferometer in the double pulse addition mode can be used to measure physical parameters in unstable environmental conditions. However, due to additive speckle noise the fringe patterns obtained have poor contrast. Some methods that use subtraction of addition double-pulsed fringe patterns improve fringe visibility but
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The electronic speckle pattern interferometer in the double pulse addition mode can be used to measure physical parameters in unstable environmental conditions. However, due to additive speckle noise the fringe patterns obtained have poor contrast. Some methods that use subtraction of addition double-pulsed fringe patterns improve fringe visibility but
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Nigerian Journal of Theoretical and Environmental Physics
The first continuous measurements of fair-weather atmospheric electric field in Nigeria reveal distinctive diurnal patterns that fundamentally challenge conventional assumptions about atmospheric electrical behaviour in tropical regions. While the global electric circuit is traditionally characterized by the Carnegie curve derived from maritime ...
Olakunle Ogunjobi +4 more
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The first continuous measurements of fair-weather atmospheric electric field in Nigeria reveal distinctive diurnal patterns that fundamentally challenge conventional assumptions about atmospheric electrical behaviour in tropical regions. While the global electric circuit is traditionally characterized by the Carnegie curve derived from maritime ...
Olakunle Ogunjobi +4 more
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International Journal of Remote Sensing, 2011
Interannual variability of vegetation represented by the temporal standard deviation (STD) of Normalized Difference Vegetation Index (NDVI), temporal STD, was calculated using a 25-year semi-monthly sequence of 8 km resolution NDVI images (Advanced Very High Resolution Radiometer (AVHRR)-Global Inventory Modeling and Mapping Studies (GIMMS) data).
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Interannual variability of vegetation represented by the temporal standard deviation (STD) of Normalized Difference Vegetation Index (NDVI), temporal STD, was calculated using a 25-year semi-monthly sequence of 8 km resolution NDVI images (Advanced Very High Resolution Radiometer (AVHRR)-Global Inventory Modeling and Mapping Studies (GIMMS) data).
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