This paper shows how it made possible in geographical science to observe the seismic zone, clustering of highly sensitive earthquake zone and spatial data clustering during important geographical processes. This paper shows simple density based and KMean clustering technique. Density-Based clustering is done here using density estimation and by searching regions which are denser than a given th...

This paper examines the detection of parameterized shapes in multidimensional noisy grayscale images. A novel shape detection algorithm utilizing random sample theory is presented. Although the method can be generalized, line detection is detailed. Each line in the image corresponds to a point in the line parameter space. The method creates hypothesis lines by randomly selecting parameter space...

Time-lapse (4D) seismic data sets have proven to be extremely useful for reservoir monitoring. Seismic-derived impedance estimates are commonly used as a 4D attribute to constrain updates to reservoir fluid flow models. However, 4D seismic estimates of P-wave impedance can contain significant errors associated with the effects of seismic noise and the inherent instability of inverse methods. Th...

Original scientific paper Mining near the fault structure can easily lead to the fault activity and induce serious geological disasters, posing a serious threat to coal mine safety production. To reveal the surrounding rock activity characteristics induced by near-fault mining, taking Qixing Coal Mine in China as the engineering background, the contrastive analysis of the microseismic events in...

Abstract This article presents the results of an integrated interpretation measurements made using Audio-Magnetotellurics and Seismic Reflection geophysical methods. The obtained were used to build model shallow subsurface cover consisting Cenozoic deposits, which then formed basis for a detailed lithological tectonic deeper Mesozoic sediments. Such covers, mainly glacial Pleistocene are typica...

In this paper, we present a novel two-step strategy for static output-feedback controller design. In the first step, an optimal state-feedback controller is obtained by means of a linear matrix inequality (LMI) formulation. In the second step, a transformation of the LMI variables is used to derive a suitable LMI formulation for the static output-feedback controller. This design strategy can be...

Artificial neural networks are applied to model the manoeuvrability characteristics of a ship based on empirical information acquired from experiments with scaled model. This work aims evaluate performance proposed method training artificial network even very small quantity noisy data. The data used for consisted zig-zag and circle manoeuvres carried out in agreement IMO standards. wind effect ...

Abstract Limited polar geographical range, narrowly defined migratory routes, and deep‐diving behaviours make narwhals exceptionally vulnerable to anthropogenic disturbances including oceanic noise. Although behavioural studies indicate marked responses of cetaceans disturbance, the link between fear reactions possible injury from noise exposure is limited for most species. To address this, we ...

This paper describes a new program, correct, which takes words rejected by the Unix spell program, proposes a list of candidate corrections, and sorts them by probability. The probability scores are the novel contribution of this work. Probabilities are based on a noisy channel model. It is assumed that the typist knows what words he or she wants to type but some noise is added on the way to t...