scholarly journals Bicliques with Minimal Data and Time Complexity for AES

2015 ◽  
pp. 160-174 ◽  
Author(s):  
Andrey Bogdanov ◽  
Donghoon Chang ◽  
Mohona Ghosh ◽  
Somitra Kumar Sanadhya
Keyword(s):  
Time Complexity ◽  
Minimal Data

Recognition of Birds in Blurred and Illumination Images by Local Features

2017 ◽  
Vol 7 (7) ◽  
pp. 243
Author(s):  
Suresha .M ◽  
. Sandeep
Keyword(s):  
Computer Vision ◽  
Time Complexity ◽  
Feature Detection ◽  
Feature Matching ◽  
Fast Algorithms ◽  
Local Features ◽  
Experimental Demonstration ◽  
Harris Corner ◽  
Blurred Image ◽  
Blurred Images

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.

scholarly journals Under-Sink Activated Carbon Water Filters Effectively Remove Lead from Private Well Water for over Six Months

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3584
Author(s):  
Riley Mulhern ◽  
Jacqueline MacDonald Gibson
Keyword(s):  
Activated Carbon ◽  
Blood Lead ◽  
The United States ◽  
Well Water ◽  
Point Of Use ◽  
Metals Removal ◽  
Lead Levels ◽  
Minimal Data ◽  
Water Filters ◽  
Private Wells

Children who rely on private well water in the United States have been shown to be at greater risk of having elevated blood lead levels. Evidence-based solutions are needed to prevent drinking water lead exposure among private well users, but minimal data are available regarding the real-world effectiveness of available interventions like point-of-use water treatment for well water. In this study, under-sink activated carbon block water filters were tested for lead and other heavy metals removal in an eight-month longitudinal study in 17 homes relying on private wells. The device removed 98% of all influent lead for the entirety of the study, with all effluent lead levels less than 1 µg/L. Profile sampling in a subset of homes showed that the faucet fixture is a significant source of lead leaching where well water is corrosive. Flushing alone was not capable of reducing first-draw lead to levels below 1 µg/L, but the under-sink filter was found to increase the safety and effectiveness of faucet flushing. The results of this study can be used by individual well users and policymakers alike to improve decision-making around the use of under-sink point-of-use devices to prevent disproportionate lead exposures among private well users.

scholarly journals Estimating the cost of school sealant programs with minimal data

2017 ◽  
Vol 78 (1) ◽  
pp. 17-24 ◽  
Author(s):  
Susan O. Griffin ◽  
Kari Jones ◽  
Shillpa Naavaal ◽  
Joan M. O'Connell ◽  
Christina Demopoulos ◽  
...  
Keyword(s):  
Minimal Data ◽  
The Cost

On the time complexity of worst-case system identification

1994 ◽  
Vol 39 (5) ◽  
pp. 944-950 ◽  
Author(s):  
K. Poolla ◽  
A. Tikku
Keyword(s):  
System Identification ◽  
Time Complexity ◽  
Worst Case ◽  
Case System
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