scholarly journals Author correction: ASPHAA: A GIS‐based algorithm to calculate cell area on a latitude–longitude (geographic) regular grid

2021 ◽  
Vol 25 (3) ◽  
pp. 1646-1647
Author(s):  
M. Santini ◽  
A. Taramelli ◽  
A. Sorichetta
Keyword(s):  
Cell Area ◽  
Regular Grid

ASPHAA: A GIS-Based Algorithm to Calculate Cell Area on a Latitude-Longitude (Geographic) Regular Grid

2010 ◽  
Vol 14 (3) ◽  
pp. 351-377 ◽  
Author(s):  
Monia Santini ◽  
Andrea Taramelli ◽  
Alessandro Sorichetta
Keyword(s):  
Cell Area ◽  
Regular Grid

Soil Spatial Heterogeneity and Systems of Agriculture

2015 ◽  
Vol 2 (1) ◽  
pp. 50-59
Author(s):  
V. Medvedev
Keyword(s):  
Spatial Heterogeneity ◽  
Soil Cover ◽  
Regular Grid ◽  
Resource Saving ◽  
The Third ◽  
Soil Spatial Heterogeneity ◽  
Agriculture Systems ◽  
Zonal Soils

Aim. To consider soil continuality and discreteness as features of heterogeneity manifestation in a soil cover, important for construction of agriculture systems. Methods. Geostatistical research of soil spatial heterogeneity, revealing the contours of a fi eld with various parameters of fertility. Results. The use of principles of precise agriculture and inspection of indicative properties of fi eld soils using a regular grid allowed to divide a fi eld into contours with three levels of fertility: the fi rst one is characterized by optimal or close to optimum properties which allows refusing from (or reducing substantially) tillage, introduction of fertilizers or chemical ameliorates; the second one has average parameters of fertility corresponding to zonal soils and demands the application of zonal technologies; the third one (with the worst parameters of fertility) presupposes regular use of the improved technologies. Conclusions. The introduction of precise agriculture will allow replacing a traditional zonal system with thenew which is soil-protecting and resource-saving one.

Application of EMS Analysis to Failure in Cell Area of Memory Device

1998 ◽  
Author(s):  
T. Nukumizu ◽  
J. Sato ◽  
H. Furuya ◽  
H. Namba ◽  
T. Kikuch
Keyword(s):  
Failure Analysis ◽  
Memory Device ◽  
Cell Area

Abstract EMS analysis is widely used in the failure analysis of the semiconductor. Moreover, the availability is widely evaluated. However, EMS analysis is not often used for the defect (1 Bit failure, Word Line failure, Bit Line failure, etc.) in the cell area in the memory device, because information on Fail Bit Map can be facilitated. Recently, make minutely advancing, and it is impossible to detect the defective cause only by Fail Bit Map information. We found the effectiveness as follows by the use of EMS analysis for a defective sample with Fail Bit Map information to solve such a problem. It leads to shortening analysis TAT because a defective part can be specified. Moreover, because the SHORT/OPEN mode can be divided, it is useful for the presumption of a defective mode. Furthermore, it is effective also to the confirmation of the presence of the redundancy and the confirmation of Fail Bit Map. Thus, because the application of EMS analysis for the defect in the cell area of the memory device is very effective to detect a defective cause, I want to recommend it by all means.

scholarly journals Quantifying wildlife-livestock interactions and their spatio-temporal patterns: Is regular grid camera trapping a suitable approach?

2020 ◽  
Vol 117 ◽  
pp. 106565
Author(s):  
Roxana Triguero-Ocaña ◽  
Joaquín Vicente ◽  
Pablo Palencia ◽  
Eduardo Laguna ◽  
Pelayo Acevedo
Keyword(s):  
Temporal Patterns ◽  
Camera Trapping ◽  
Regular Grid ◽  
Spatio Temporal

scholarly journals Yeast Morphology Assessment through Automated Image Analysis during Fermentation

Fermentation ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 44
Author(s):  
Mario Guadalupe-Daqui ◽  
Mandi Chen ◽  
Katherine A. Thompson-Witrick ◽  
Andrew J. MacIntosh
Keyword(s):  
Image Analysis ◽  
High Stress ◽  
Cross Sectional Area ◽  
Automated Image Analysis ◽  
Yeast Cells ◽  
Morphological Properties ◽  
Cell Area ◽  
Sectional Area ◽  
Cross Sectional ◽  
Industrial Fermentation

The kinetics and success of an industrial fermentation are dependent upon the health of the microorganism(s) responsible. Saccharomyces sp. are the most commonly used organisms in food and beverage production; consequently, many metrics of yeast health and stress have been previously correlated with morphological changes to fermentations kinetics. Many researchers and industries use machine vision to count yeast and assess health through dyes and image analysis. This study assessed known physical differences through automated image analysis taken throughout ongoing high stress fermentations at various temperatures (30 °C and 35 °C). Measured parameters included sugar consumption rate, number of yeast cells in suspension, yeast cross-sectional area, and vacuole cross-sectional area. The cell morphological properties were analyzed automatically using ImageJ software and validated using manual assessment. It was found that there were significant changes in cell area and ratio of vacuole to cell area over the fermentation. These changes were temperature dependent. The changes in morphology have implications for rates of cellular reactions and efficiency within industrial fermentation processes. The use of automated image analysis to quantify these parameters is possible using currently available systems and will provide additional tools to enhance our understanding of the fermentation process.

scholarly journals Modelling the Velocity Field in a Regular Grid in the Area of Poland on the Basis of the Velocities of European Permanent Stations

2013 ◽  
Vol 171 (6) ◽  
pp. 809-833 ◽  
Author(s):  
Janusz Bogusz ◽  
Anna Kłos ◽  
Piotr Grzempowski ◽  
Bernard Kontny
Keyword(s):  
Velocity Field ◽  
Regular Grid
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