scholarly journals ASP: An Automated Seismic Processor for microearthquake networks

1982 ◽  
Vol 72 (1) ◽  
pp. 303-325
Author(s):  
T. V. McEvilly ◽  
E. L. Majer
Keyword(s):  
High Speed ◽  
Nuclear Explosion ◽  
Source Parameters ◽  
Aftershock Sequence ◽  
P Wave ◽  
Time Analysis ◽  
S Waves ◽  
Real Time Analysis ◽  
Data Output ◽  
Cerro Prieto

abstract ASP, a low-power, in-field Automated Seismic Processor of microearthquake network data has been designed, fabricated, and deployed for initial operation in four different field areas to monitor seismicity associated with two geothermal areas (The Geysers, California, and Cerro Prieto, Mexico), a nuclear explosion with its related collapse and aftershock sequence, and late (>1 year) activity in a major aftershock series (Livermore, California). A second ASP system, with a high-speed front-end, is used in acoustic emission (1 to 20 kHz) analysis for fracture monitoring. Each of the 15 channels of ASP (configured for up to 128 channels) automatically detects, measures times and amplitudes, and computes and fits FFT's for both the P and S waves on data sampled at 100 samples/sec. These data from each channel are then processed with a central microprocessor for hypocenter location, running b values, source parameters, event count, and P-wave polarities. The system is capable of processing a 15-station detection in approximately 40 sec, excluding printout. The initial trials have demonstrated that in-field real-time analysis of data maximizes the efficiency of microearthquake surveys allowing flexibility in experimental procedures, with a minimum of the traditional labor-intensive postprocessing. Current efforts are directed toward improving efficiency of computation and data output and in expanding software capabilities.

scholarly journals Estimation of source parameters and depth of focus of the earthquake of Sikkim Himalaya by waveform modelling

2001 ◽  
Vol 23 ◽  
Author(s):  
K. N. Khanal
Keyword(s):  
Source Parameters ◽  
Total Duration ◽  
P Wave ◽  
Wave Number ◽  
S Wave ◽  
Sikkim Himalaya ◽  
S Waves ◽  
Velocity Models ◽  
Waveform Modelling ◽  
Orientation Parameters

The earthquake of 19 November 1980, which occurred in the Sikkim Himalaya was investigated by waveform modelling technique. The synthetic seismograms for both the P- and S-waves were generated using wave number integration method. The P- wave seismograms were generated using different velocity models for the source and receiver crusts. The S-wave seismograms were produced using only the half-space model for both the source and receiver crusts. Comparing the seismograms of these waves with the respective seismograms digitally recorded by the Global Digital Seismograph Network the source parameters have been estimated. The orientation parameters determined in this way are strike = 119 °, dip = 74° and dip direction = S29W for one modal plane and strike = 218 °, dip= 64° and dip direction = N52W for the other modal plane. The modal plane striking in NW direction has been preferred as representing the fault plane. The depth of the earthquake has been estimated to be 22 km. The total duration of the rupture process has been estimated to be 7 s.

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

scholarly journals Real-Time Analysis of Animal Feeding Behavior With a Low-Calculation-Power CPU

2020 ◽  
Vol 67 (4) ◽  
pp. 1197-1205 ◽  
Author(s):  
Yuki Totani ◽  
Susumu Kotani ◽  
Kei Odai ◽  
Etsuro Ito ◽  
Manabu Sakakibara
Keyword(s):  
Feeding Behavior ◽  
Real Time ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Animal Feeding

A threshold-based, real-time analysis in early detection of endpoint anomalies using SIEM expertise

2021 ◽  
Vol 2021 (4) ◽  
pp. 7-16
Author(s):  
Sivaraman Eswaran ◽  
Aruna Srinivasan ◽  
Prasad Honnavalli
Keyword(s):  
Early Detection ◽  
Real Time ◽  
Time Analysis ◽  
Real Time Analysis

Chromo-fluorogenic sensors for chemical warfare agents in real-time analysis: journey towards accurate detection and differentiation

2021 ◽  
Vol 57 (28) ◽  
pp. 3430-3444
Author(s):  
Vinod Kumar
Keyword(s):  
Real Time ◽  
Chemical Warfare Agents ◽  
Chemical Warfare ◽  
Chemical Probes ◽  
Time Analysis ◽  
Specific Detection ◽  
Success Stories ◽  
Real Time Analysis ◽  
Warfare Agents ◽  
Unique Chemical

This article describes our journey and success stories in the development of chemical warfare detection, detailing the range of unique chemical probes and methods explored to achieve the specific detection of individual agents in realistic environments.

scholarly journals A Framework for International Collaboration on ITER Using Large-Scale Data Transfer to Enable Near-Real-Time Analysis

2021 ◽  
Vol 77 (2) ◽  
pp. 98-108
Author(s):  
R. M. Churchill ◽  
C. S. Chang ◽  
J. Choi ◽  
J. Wong ◽  
S. Klasky ◽  
...  
Keyword(s):  
Real Time ◽  
International Collaboration ◽  
Large Scale ◽  
Data Transfer ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Large Scale Data ◽  
Scale Data
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