Frequency analysis of a wavefront curvature sensor: selection of propagation distance

2012 ◽  
Vol 59 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Shengyang Huang ◽  
Fengjie Xi ◽  
Changhai Liu ◽  
Zongfu Jiang
2008 ◽  
Vol 12 (3) ◽  
pp. 825-839 ◽  
Author(s):  
L. Gaál ◽  
J. Kyselý ◽  
J. Szolgay

Abstract. The paper compares different approaches to regional frequency analysis with the main focus on the implementation of the region-of-influence (ROI) technique for the modelling of probabilities of heavy precipitation amounts in the area of the Western Carpathians. Unlike the conventional regional frequency analysis where the at-site design values are estimated within a fixed pooling group (region), the ROI approach as a specific alternative to focused pooling techniques makes use of flexible pooling groups, i.e. each target site has its own group of sufficiently similar sites. In this paper, various ROI pooling schemes are constructed as combinations of different alternatives of sites' similarity (pooling groups defined according to climatological characteristics and geographical proximity of sites, respectively) and pooled weighting factors. The performance of the ROI pooling schemes and statistical models of conventional (regional and at-site) frequency analysis is assessed by means of Monte Carlo simulation studies for precipitation annual maxima for the 1-day and 5-day durations in Slovakia. It is demonstrated that a) all the frequency models based on the ROI method yield estimates of growth curves that are superior to the standard regional and at-site estimates at most individual sites, and b) the selection of a suitable ROI pooling scheme should be adjusted to the dominant character of the formation of heavy precipitation.


1969 ◽  
Vol 20 (3) ◽  
pp. 227-233 ◽  
Author(s):  
John M. Carroll ◽  
Robert Roeloffs

2008 ◽  
Vol 2008 ◽  
pp. 1-10 ◽  
Author(s):  
S. Borguet ◽  
O. Léonard

Engine health monitoring has been an area of intensive research for many years. Numerous methods have been developed with the goal of determining a faithful picture of the engine condition. On the other hand, the issue of sensor selection allowing an efficient diagnosis has received less attention from the community. The present contribution revisits the problem of sensor selection for engine performance monitoring within the scope of information theory. To this end, a metric that integrates the essential elements of the sensor selection problem is defined from the Fisher information matrix. An example application consisting in a commercial turbofan engine illustrates the enhancement that can be expected from a wise selection of the sensor set.


2013 ◽  
Vol 69 (3) ◽  
pp. 1803-1813 ◽  
Author(s):  
Ayesha S. Rahman ◽  
Ataur Rahman ◽  
Mohammad A. Zaman ◽  
Khaled Haddad ◽  
Amimul Ahsan ◽  
...  

2018 ◽  
Vol 2 (1) ◽  
pp. 34 ◽  
Author(s):  
Baiq Harly Widayanti ◽  
Ardi Yuniarman ◽  
Febrita Susanti

The purpose of this research is to understand the settlement pattern and the factors that determine the selection of settlement locations on areas prone to landslides at Guntur Macan Village, West Lombok Regency. The research uses qualitative method by conducting questionnaire and in-depth interview to respondents. Mapping of community houses together with analysis on nearest neighbors in viewing the settlement patterns were conducted. Categorical frequency analysis was used to measure villagers’ perceptions that affect their choice to settle at disaster-prone areas. The result of mapping shows the existing settlement patterns are either cluster, linear or spread. The result of analysis of nearest neighbors shows T value of 1.74, which means an evenly spread pattern. Based on villager’s perception, factors determining the selection of settlement locations on areas prone to landslides are distance away from high-noises, pollution levels that do not interfere with health, and accessibility to job sites.


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