Representing Earthquake Accelerogram Records for CNN Utilization

Cikis, Melis
Tileyoglu, Salih
Akagündüz, Erdem
In this study, a spectrogram based false color representation of earthquake accelergrams is proposed and its usability for both human investigation and its application in convolutional networks are discussed. By using more than forty two thousand earthquake records open to the public, an epicenter clustering algorithm was employed, and it was observed that earthquakes in similar clusters produce similar representations. The prospective purpose of the proposed representation is to estimate the epicenter of an earthquake by processing the accelerograms recorded in a single station using convolutional networks.
28th Signal Processing and Communications Applications Conference (SIU)


An Experimental investigation on indoor RSSI-based localization
Karakurt, Meriç Koray; Yılmaz, Ali Özgür; Department of Electrical and Electronics Engineering (2013)
In this study, received signal strength indicator (RSSI) based indoor localization is investigated in sparse-anchor-deployment environments. Multipath propagation, dynamical variations in propagation model parameters and antenna patterns which are three of many potential error sources of indoor RSSI-based localization are experimentally analyzed. Possible enhancements so as to minimize the effects of mentioned problems are examined. A multichannel maximum-likelihood estimation (MLE) algorithm is proposed an...
Probing color coherence effects in pp collisions at root s=7 TeV
Chatrchyan, S.; et. al. (Springer Science and Business Media LLC, 2014-06-01)
A study of color coherence effects in pp collisions at a center-of-mass energy of 7 is presented. The data used in the analysis were collected in 2010 with the CMS detector at the LHC and correspond to an integrated luminosity of 36 pb. Events are selected that contain at least three jets and where the two jets with the largest transverse momentum exhibit a back-to-back topology. The measured angular correlation between the second- and third-leading jet is shown to be sensitive to color coherence effects, a...
Maximal Ratio Combining with Energy Harvesting Multi-Antenna Receivers
Uctu, Goksel; Yüksel Turgut, Ayşe Melda (2015-01-01)
In this study, we consider a wireless communication system in a point-to-point fading channel with additive white Gaussian noise. The relationship between consumed energy on sampling and decoding processes at the receiver side is a known fact. Accordingly, a receiver model that has two antennas combined with maximal ratio combining technique is considered and energy consumptions of such a system on sampling and decoding processes are evaluated. Total energy consumptions of both systems are compared under va...
Monitoring the Microstructural Evolution in Spheroidized Steels by Magnetic Barkhausen Noise Measurements
DAVUT, Kemal; Gür, Cemil Hakan (Springer Science and Business Media LLC, 2010-12-01)
The aim of this study is to monitor nondestructively the degree of spheroidization in steels by Magnetic Barkhausen Noise (MBN) method. Various series of specimens consisting of either lamellar pearlite or partially/completely spheroidized carbides were produced from AISI 1060 steel by appropriate heat treatments. All specimens were characterized by metallographic examinations, hardness and MBN measurements. The results show that MBN signals are very sensitive to the variations in the microstructure caused ...
Analyzing the Information Distribution in the fMRI Measurements by Estimating the Degree of Locality
Onal, Itir; Ozay, Mete; Firat, Orhan; GİLLAM, İLKE; Yarman Vural, Fatoş Tunay (2013-07-07)
In this study, we propose a new method for analyzing and representing the distribution of discriminative information for data acquired via functional Magnetic Resonance Imaging (fMRI). For this purpose, we form a spatially local mesh with varying size, around each voxel, called the seed voxel. The relationship among each seed voxel and its neighbors is estimated using a linear regression model by minimizing the square error. Then, we estimate the optimal mesh size that represents the connections among each ...
Citation Formats
M. Cikis, S. Tileyoglu, and E. Akagündüz, “Representing Earthquake Accelerogram Records for CNN Utilization,” presented at the 28th Signal Processing and Communications Applications Conference (SIU), ELECTR NETWORK, 2020, Accessed: 00, 2021. [Online]. Available: