6 research outputs found

    The Analysis of Landslide Based on Geographic Information System in Mon State, Myanmar

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    Land use change can increase or decrease landslide susceptibility in the mountainous areas. Inthe hilly and mountainous part of Mon State, Myanmar, land use change has taken place due to landextractions and rock extractions. These activities can worsen the slope susceptible to sliding due to mostlythe wounding of the mountain. So, every year take place the landslide in monsoon season. The objective ofthis study is to define the landslide risk areas in support of development planning, monitoring, and control ofunstable areas. In this study, the mapping of landslides using Sentinel 2, research on their combination fordiscerning historical landslides in the raining season. Landslide samples were obtained from the old landslide,road structure from the topo map and slope can get form digital elevation model (DEM)). Layers wereanalyzed and the average weighted score was applied to calculate every 9 classes to predict the landslide.Overlay, geoprocessing and geostatistical techniques in geographic information systems (GIS) were used todiscriminate these weighted subclasses into landslide features 6 levels of risk areas. Landslides in the Paungtownship and Melamine at Mon State which showed the prone area with the study

    Analysis of phase Lead compensation design for Hot-Ingot Robot control system using

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    The paper describes the result comparisons that were developed for the phase lead compensator design using MATLAB. The MATLAB m-files that use the implementation of classical experiments are described. The Root locus analysis for stability of Hot-Ingot Robot Control System has been analyzed. The Hot-Ingot Robot Control System can be designed to gain insight into a variety of concepts, including stabilization of unstable control systems, Root locus analysis. The analysis has resulted in a number of important conclusions for the design of a new generation of control support systems

    Genome-wide association study identifies five new susceptibility loci for primary angle closure glaucoma.

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    Primary angle closure glaucoma (PACG) is a major cause of blindness worldwide. We conducted a genome-wide association study (GWAS) followed by replication in a combined total of 10,503 PACG cases and 29,567 controls drawn from 24 countries across Asia, Australia, Europe, North America, and South America. We observed significant evidence of disease association at five new genetic loci upon meta-analysis of all patient collections. These loci are at EPDR1 rs3816415 (odds ratio (OR) = 1.24, P = 5.94 Ă— 10(-15)), CHAT rs1258267 (OR = 1.22, P = 2.85 Ă— 10(-16)), GLIS3 rs736893 (OR = 1.18, P = 1.43 Ă— 10(-14)), FERMT2 rs7494379 (OR = 1.14, P = 3.43 Ă— 10(-11)), and DPM2-FAM102A rs3739821 (OR = 1.15, P = 8.32 Ă— 10(-12)). We also confirmed significant association at three previously described loci (P < 5 Ă— 10(-8) for each sentinel SNP at PLEKHA7, COL11A1, and PCMTD1-ST18), providing new insights into the biology of PACG

    Genome-wide association study identifies five new susceptibility loci for primary angle closure glaucoma

    No full text
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