A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction

Mohamed Elhadi Rahmani (GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria), Abdelmalek Amine (GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria) and Reda Mohamed Hamou (GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria)
Copyright: © 2017 |Pages: 18
DOI: 10.4018/IJSIR.2017070101
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Abstract

Bio-inspired algorithms are sort of implementation of natural solutions to solve hard problems – so called NP problems. A seismic hazard is the probability that an earthquake will occur in a given geographic area, within a given window of time, and with ground motion intensity exceeding a given threshold. Seismic hazards prediction is one of the fields where data mining plays an important role. This paper presents a new bio-inspired algorithm motivated by the echolocation behavior of bats for seismic hazard states prediction in coal mines based on previously recorded data. It is a distance calculation based approach, Results were very satisfactory in a manner that encourage us to continue working on this approach. The implementation of the algorithm touches three fields of studies, data discovery or so called data mining, bio inspired techniques, and seismic hazards predictions.
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1. Introduction

Mining hazards is a subfield of mining activities connected to the dangers. They are the causes of disasters and accidents; mining hazards plays an important role in shaping industrial safety in coal mines. Similar to an earthquake, detection and prediction of seismic hazards present the hardest issue of natural hazards detection. Seismic activity and seismic hazard in underground coal mines occur in case of specific structure of geological deposit and the way of exploitation of coal. The nature of these hazards is influenced by a large number of factors which causes a complex and insufficiently recognized relationships among them. One example of a situation, with a particularly strong intensity, occurs in the Upper Silesian Coal Basin where there are additional conditions connected with: multi-seam structure of deposit, consequences of the long history of exploitation of this area and complex surface infrastructure. In almost all mines of this area there are systems which detect and assess a current degree of seismic hazard (Kabiesz, 2013). Hazard of high-energy destructive tremor which may result in a rock burst is a particular case of one of the major studies of coal mine geophysical stations work. As a phenomenon related with mining seismicity, rock bursts pose a serious hazard to miners and can destroy long walls and equipment.

Biology contains a lot of phenomena that help life keep going. These mechanisms are considered as a good source to inspire different algorithms and solutions for different hard problems in technology era. Over the last few decades, it has stimulated many successful algorithms and computational tools for dealing with complex and optimization problems. The real beauty of nature inspired algorithms lies in the fact that it receives its sole inspiration from nature. With their ability to solve hard problems by describing the complex relationships from intrinsically very simple initial conditions and rules with little or no knowledge of the search space, nature is the perfect example for optimization. All kinds of features or phenomenon in nature, always find the optimal strategy to solve different problems. Computer networks, security, robotics, bio medical engineering, control systems, parallel processing, data mining, power systems, production engineering and many more, covering all fields of computer science, bio inspired algorithm presents a mapping of different strategies existed in nature, it comes up as a new era in computing encompassing a wide range of researches and applications.

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