A REVIEW OF METHODS OF FILTERING SEISMIC DATA

Geophysics ◽  
1958 ◽  
Vol 23 (1) ◽  
pp. 44-57 ◽  
Author(s):  
Mark K. Smith

Filtering in its general sense represents an important phase of data processing. In recent years such new methods as delay line filtering and digital filtering as well as conventional seismic filtering have been described in the literature. The purpose of this paper is to clarify the relationship between these methods of filtering and to compare design criteria such as cross‐correlation filtering and zero‐phase filtering. Synthetic records as well as field records are used to illustrate the effects of the various filtering techniques.

2014 ◽  
Vol 672-674 ◽  
pp. 1964-1967
Author(s):  
Jun Qiu Wang ◽  
Jun Lin ◽  
Xiang Bo Gong

Vibroseis obtained the seismic record by cross-correlation detection calculation. compared with dynamite source, cross-correlation detection can suppress random noise, but produce more correlation noise. This paper studies Radon transform to remove correlation noise produced by electromagnetic drive vibroseis and impact rammer. From the results of processing field seismic records, we can see that Radon transform can remove correlation noise by vibroseis, the SNR of vibroseis seismic data is effectively improved.


2021 ◽  
pp. 1-14
Author(s):  
Thiago Henrique Barbosa de Carvalho Tavares ◽  
Bruno Pérez Ferreira ◽  
Eduardo Mazoni Andrade Marçal Mendes

In this work the relationship between the Selic rate and some bank parameters defined by the so-called Basel Accords is studied. The cross-correlation between the Selic rate and the parameters is used to explain how these parameters affect the Selic rate and vice-versa so as to define the predictability of the Selic rate using (some of) these parameters as inputs. A model is then proposed for predicting the Selic rate based on some specific parameters using fuzzy logic ideas, which dealt with a partitioning of the universe of discourse using clusters related to the output data distribution. The proposed model is compared to four other known models in the literature and showed to have better performance in average compared to all other models.


Author(s):  
Alessandra Natalini

In a general sense, environmental education can be understood as a process that leads to a better understanding of the relationship between man and the natural environment, and sustainability as the possibility for those who come after us to be able to do the same things we can do today. Environmental education and sustainability as such imply collaboration between all social actors in the prevention and resolution of environmental problems. Direct contact with nature in education implies the assumption of a holistic approach, which sees in the relationship between economics, politics, society and ecology a useful tool for educating the new generations, as already widely noted by prominent early 20th century pedagogues such as Giuseppina Pizzigoni. Environmental education is therefore a type of holistic and lifelong education, including education "about, for and through" the environment, the importance of which has grown over time, partly as result of increasingly frequent environmental disasters. These have been followed by various measures, such as the Tbilisi Declaration, the Declaration of the Rights of Nature, the Brundtland Report, the Kyoto Protocol, the Aahrrus Convention, Agenda 2021, Agenda 2030 and so on, in which environmental education and sustainability have been strongly linked to educational processes, so much so that, in Italy, they have been treated in an interdisciplinary key and borrowed in the National Indications (MIUR, 2012) and the National Indications and New Scenarios (MIUR, 2018), as well as in the 2014 Environmental Education Guidelines for Sustainable Development. The contribution, starting from data considerations, focuses on the construction of attitudes, behaviours and conducts in school contexts related to care and protection, as well as environmental awareness, which are combined with those of protection and teaching capable of reading and preserving the environment from the perspective of sustainability. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0798/a.php" alt="Hit counter" /></p>


2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Allan D. Tipan

The study attempted to describe the factors affecting the sociolinguistic andstrategic competencies in English among teachers in Higher Education Institutionsin Lipa City and determine the relationship between the demographic characteristicsand their assessments. The study was done during the school year 2010-2011. ThreeHigher Education Institutions in Lipa City were selected as the research locale. Totalenumeration was used as sampling for the study. Both quantitative and qualitativeresearch methods were employed. The respondents agreed that the factors of contextof acquisition, accommodating speech norms and code switching, degree of contactwith second language users and level of confidence affect their sociolinguisticcompetence. Likewise, they also agreed that the factors of questioning skills and useof non-verbal communication affect their strategic competencies. Variations in termsof the relationships of different demographic characteristics and their sociolinguisticand strategic competencies were also established. A general sense, the teachers’diverse characteristics generated different points of view on how the factors affecttheir competencies. This led to the conclusion that they are the ones responsible why the factors influence their competencies. They should be the ones responsible for affecting culture and not culture to affect their language competencies. It is of greatimportance that teachers should take the initiative to study and systematically use thecompetencies which they can work on. HEI administrators should offer professionaldevelopment seminars as these are necessary for the effective use of the teachers’competencies.Keywords: competency, sociolinguistic competence, strategic competency,context of acquisition, code switching, confidence questioning skills, non-verbalcommunication


2014 ◽  
Vol 29 (01) ◽  
pp. 1450236 ◽  
Author(s):  
Guangxi Cao ◽  
Yan Han

Recent studies confirm that weather affects the Chinese stock markets, based on a linear model. This paper revisits this topic using DCCA cross-correlation coefficient (ρ DCCA (n)), which is a nonlinear method, to determine if weather variables (i.e., temperature, humidity, wind and sunshine duration) affect the returns/volatilities of the Shanghai and Shenzhen stock markets. We propose an asymmetric ρ DCCA (n) by improving the traditional ρ DCCA (n) to determine if different cross-correlated properties exist when one time series trending is either positive or negative. Further, we improve a statistical test for the asymmetric ρ DCCA (n). We find that cross-correlation exists between weather variables and the stock markets on certain time scales and that the cross-correlation is asymmetric. We also analyze the cross-correlation at different intervals; that is, the relationship between weather variables and the stock markets at different intervals is not always the same as the relationship on the whole.


1998 ◽  
Vol 22 (1) ◽  
pp. 4-14 ◽  
Author(s):  
Mark R. Testa ◽  
Cindy Skaruppa ◽  
Dale Pietrzak

Service quality and customer satisfaction are vital concerns in service industries, particularly in the cruise industry. As such, the development of new methods for improving both is essential. A model of attitudes, intentions, and behaviors proposed by Bagozzi and refined by Schmit and Allscheid was tested to determine if employee job satisfaction and customer satisfaction were related constructs in the cruise industry. The hypothesized model did not account for the relationship between the measured and latent variables; however, a direct relationship between employee job satisfaction and customer satisfaction was found to exist (R2 = . 30). Implications for hospitality and travel organizations are discussed, and recommendations are made for future research.


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