The nuclepore filter method: A technique for enumeration of viable and nonviable airborne microorganisms

1986 ◽  
Vol 10 (3) ◽  
pp. 325-327 ◽  
Author(s):  
Urban Palmgren ◽  
Gunnar Ström ◽  
Per Malmberg ◽  
GÖRan Blomquist
Keyword(s):  
Filter Method ◽  
Airborne Microorganisms ◽  
Nuclepore Filter

201. Electrostatic Charge Distributions on Airborne Microorganisms

2000 ◽  
Author(s):  
G. Mainelis ◽  
K. Willeke ◽  
S. Grinshpun ◽  
T. Reponen ◽  
S. Trakumas ◽  
...  
Keyword(s):  
Electrostatic Charge ◽  
Airborne Microorganisms ◽  
Charge Distributions

167. New Technique for Personal Sampling of Viable Airborne Microorganisms

2002 ◽  
Author(s):  
I. Agranovski ◽  
V. Agranovski ◽  
S. Grinshpun ◽  
K. Willeke ◽  
T. Reponen
Keyword(s):  
New Technique ◽  
Airborne Microorganisms ◽  
Personal Sampling

2. Measurement and Control of Airborne Microorganisms Using Electrostatic Methods

2001 ◽  
Author(s):  
G. Mainelis ◽  
R. Gorny ◽  
K. Willeke ◽  
S. Grinshpun ◽  
T. Reponen ◽  
...  
Keyword(s):  
Airborne Microorganisms ◽  
And Control ◽  
Measurement And Control

Enhancing the Performance of One Dimensional Median Filter

2019 ◽  
Vol 118 (7) ◽  
pp. 73-76
Author(s):  
Sharanabasappa ◽  
P Ravibabu
Keyword(s):  
Impulse Noise ◽  
Rank Order ◽  
Median Filter ◽  
Filter Method ◽  
Salt And Pepper Noise ◽  
Edge Preservation ◽  
Word Level ◽  
Look Ahead ◽  
Filter Architecture ◽  
Salt And Pepper

Nowadays, during the process of Image acquisition and transmission, image information data can be corrupted by impulse noise. That noise is classified as salt and pepper noise and random impulse noise depending on the noise values. A median filter is widely used digital nonlinear filter  in edge preservation, removing of impulse noise and smoothing of signals. Median filter is the widely used to remove salt and pepper noise than rank order filter, morphological filter, and unsharp masking filter. The median filter replaces a sample with the middle value among all the samples present inside the sample window. A median filter will be of two types depending on the number of samples processed at the same cycle i.e, bit level architecture and word level architecture.. In this paper, Carry Look-ahead Adder median filter method will be introduced to improve the hardware resources used in median filter architecture for 5 window and 9 window for 8 bit and 16 bit median filter architecture.

Improvement of the Zeta-Plus Filter Method for Concentration of Viruses from Water

1991 ◽  
Vol 24 (2) ◽  
pp. 217-220 ◽  
Author(s):  
Kazuyoshi Yano ◽  
Yasuko Yoshida ◽  
Mitsumi Kaneko
Keyword(s):  
Filter Method

The Effectiveness of the Fused Weighted Filter Feature Selection Method to Improve Software Fault Prediction

2016 ◽  
Vol 8 ◽  
pp. 5 ◽  
Author(s):  
Fatemeh Alighardashi ◽  
Mohammad Ali Zare Chahooki
Keyword(s):  
Feature Selection ◽  
Feature Selection Method ◽  
Selection Method ◽  
Machine Learning Algorithms ◽  
Fault Prediction ◽  
Filter Method ◽  
Selection Methods ◽  
Software Projects ◽  
Software Fault Prediction ◽  
Software Fault

Improving the software product quality before releasing by periodic tests is one of the most expensive activities in software projects. Due to limited resources to modules test in software projects, it is important to identify fault-prone modules and use the test sources for fault prediction in these modules. Software fault predictors based on machine learning algorithms, are effective tools for identifying fault-prone modules. Extensive studies are being done in this field to find the connection between features of software modules, and their fault-prone. Some of features in predictive algorithms are ineffective and reduce the accuracy of prediction process. So, feature selection methods to increase performance of prediction models in fault-prone modules are widely used. In this study, we proposed a feature selection method for effective selection of features, by using combination of filter feature selection methods. In the proposed filter method, the combination of several filter feature selection methods presented as fused weighed filter method. Then, the proposed method caused convergence rate of feature selection as well as the accuracy improvement. The obtained results on NASA and PROMISE with ten datasets, indicates the effectiveness of proposed method in improvement of accuracy and convergence of software fault prediction.

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