Abstract
The main issue, which has existed since the development of Single Layer Hierarchical Graph Neuron (SLHGN) started, is the representation for location data that will be fed to SLHGN structure. Similar issue, the double-value characteristics of the ordinary and current coordinate system have slowed down the enhancement of a sophisticated earthquake forecasting technology that uses SLHGN. To deal with the problem, a new way of representing locations on the earth, called Single Value Coordinate System (SVCS), has been researched and developed. Since the location of a potential earthquake—after being elaborated by the earthquake forecaster—is represented through esvecees (SVCS) values, people would have difficulties to understand and to locate it. To make the earthquake forecasting results be understandable and locatable for targeted people, those esvecees values should therefore be transformed into ordinary coordinates, which comprise longitude and latitude values. For that purpose, a technology for the transformation from esvecees values to ordinary coordinates have been successfully developed. The experiment results show that the location of a potential earthquake can now be gained as longitude and latitude values. This means that the earthquake forecasting using Single Layer Hierarchical Graph Neuron (SLHGN) is getting closer to its complete functionalities.
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Nasution, B.B. et al. (2023). Transformation of an Esvecees (SVCS) Value to Spherical Coordinates as the Result of the Earthquake Forecasting Using SLHGN. In: Gjøsæter, T., Radianti, J., Murayama, Y. (eds) Information Technology in Disaster Risk Reduction. ITDRR 2022. IFIP Advances in Information and Communication Technology, vol 672. Springer, Cham. https://doi.org/10.1007/978-3-031-34207-3_17
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