A new technique for repairing and controlling large-scale collapse in the main transportation shaft, Chengchao iron mine, China

2003 ◽  
Vol 40 (4) ◽  
pp. 553-563 ◽  
Author(s):  
J.-A Wang ◽  
H.D Park ◽  
Y.T Gao
1987 ◽  
Vol 112 (2) ◽  
pp. 257-279
Author(s):  
Carolyn Baxendale

It is clear that all the experience I had gained in writing the first four symphonies completely let me down in this one- for a completely new style demanded a new technique.Twenty-Five years ago a prominent Mahler enthusiast could describe the finale of Mahler's Fifth Symphony as ‘a windy, uninspired stretch of note-spinning, literally scraping the barrel in search of music’. Few people nowadays would subscribe to this view: indeed the upsurge of interest in the work of other ‘late Romantic’ composers has perhaps served to sharpen our admiration for Mahler's exceptional powers of invention and his no less extraordinary mastery of large-scale form. Yet we are not really any closer to explaining just how such extended works are held together and given shape, particularly in the absence of specific extra-musical concepts such as those of the ‘Wunderhorn’ symphonies.


2020 ◽  
Author(s):  
C. Truffert ◽  
S. Bouteille ◽  
A. Bitri ◽  
M. Dietz

2020 ◽  
Vol 10 (7) ◽  
pp. 2382
Author(s):  
Angel David Pedroza ◽  
José I. De la Rosa ◽  
Rogelio Rosas ◽  
Aldonso Becerra ◽  
Jesús Villa ◽  
...  

A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification. The main advantage of this new technique, in contrast to traditional algorithms where the use of large-scale datasets is assumed, is its ability to identify individuals by the use of only two samples from the bird species. The proposed technique has two variants (depending on the method used to analyze and extract the bird vocalization from records): automatic individual verification algorithm and semi-automatic individual verification algorithm. The evaluation of the automatic algorithm shows an average precision that is over 80% for the identification comparatives. It is shown that the efficiencies of the algorithms depend on the complexity of the vocalizations.


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