inversion theory
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2021 ◽  
pp. 1-7
Author(s):  
R. N. Singh ◽  
Ajay Manglik
Keyword(s):  

2020 ◽  
Vol 26 (5) ◽  
pp. 16-21
Author(s):  
Benyu Su ◽  
Zhixiong Li ◽  
Rongyao Li ◽  
Rongfu Rao ◽  
Jingcun Yu

geological hazard in deep underground mining. Before the rock mass explosion, electromagnetic energy will radiate outward during the deformation and rupture of the coal rocks. Hence, it is possible to use the electromagnetic radiation to predict geological disasters in coal mines. A challenging task using the active source electromagnetic survey technique is to detect geological anomalies, such as disaster water sources and geological structures. To this end, this paper proposes a new electromagnetic radiation solution based on the forward and inversion theory to detect geological anomalies in the coal seam. Based on typical coal mine geological models, the forward modelling and inversion modelling have been performed, respectively. The forward modelling explained the geological anomalies inside the coal seam, which were very sensitive to the response of the radiated electromagnetic field; especially, for the water-bearing geological anomalies. The inversion modelling discovered that the inversion geo-electric parameter distribution agreed well with the actual model. As a result, the proposed method is feasible for geological anomalies detection.


Author(s):  
Søren Hove

The article shows how Al-Qaeda has continuously transformed its visions and strategies toward war throughout the organization’s history. By reading al-Qaeda’s own ideological texts the author argues that al-Qaeda has several times adapted its strategies to the course of the events by changing who al-Qaida was fighting, where the fighting could take place and especially what audiences the organization was addressing. The article furthermore argues – with reference to Michel Wieviorkas inversion theory – that al-Qaida’s war today is so far away from fighting the “near enemy” in the Middle East, that the organization has inverted and marginalized itself away from the original audiences in the Middle East and that al-Qaeda will therefore find it difficult to mobilize in the aftermath of The Arab Spring.


2018 ◽  
Vol 28 (1) ◽  
pp. 35-43
Author(s):  
Bing Han ◽  
Hui-Bing Xie ◽  
Wu-Tong Yan ◽  
Da-Chen Lei ◽  
Li Zhu ◽  
...  

2017 ◽  
Vol 38 (1) ◽  
pp. 35-61
Author(s):  
Jing Jin

Abstract This paper investigates a special sub-type of measurement construction in Mandarin Chinese, namely the [Num-measure word-de-N] construction where the N is an abstract dimension-denoting noun. Evidence is presented to show that the abstract-type [Num-measure word-de-N] should be fundamentally distinguished from the quantifying-/modifying-type [Num-measure word-de-N], in which the [Num-measure word] sequence serves to quantize/modify a semantically concrete, entity-denoting N. At the interpretive level, this paper claims that the abstracttype [Num-measure word-de-N] is semantically definite. At the syntactic level, a clausal analysis within the framework of the Predicate Inversion theory is pursued to account for the derivation of the abstract-type measurement construction. Last, it is proposed that the word order distinction between the Chinese abstracttype measurement construction, which is N-final, and its English counterpart, where the N linearly precedes [Num-measure word], can be explained in terms of a parametric variation with respect to the (non-)application of N-raising after Predicate Inversion.


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Francisco J. Ariza-Hernandez ◽  
Jorge Sanchez-Ortiz ◽  
Martin P. Arciga-Alejandre ◽  
Luis X. Vivas-Cruz

We implement the Bayesian statistical inversion theory to obtain the solution for an inverse problem of growth data, using a fractional population growth model. We estimate the parameters in the model and we make a comparison between this model and an exponential one, based on an approximation of Bayes factor. A simulation study is carried out to show the performance of the estimators and the Bayes factor. Finally, we present a real data example to illustrate the effectiveness of the method proposed here and the pertinence of using a fractional model.


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