Seismic Event Recognition in the Trentino Area (Italy): Performance Analysis of a New Semiautomatic System

2013 ◽  
Vol 84 (1) ◽  
pp. 65-74 ◽  
Author(s):  
M. Garbin ◽  
E. Priolo
Keyword(s):  
Performance Analysis ◽  
Seismic Event ◽  
Event Recognition ◽  
Semiautomatic System

Interactive Seismic Event Recognition and its Applications

2000 ◽  
Vol 31 (3) ◽  
pp. 469-472 ◽  
Author(s):  
Min Li ◽  
Iain Mason
Keyword(s):  
Seismic Event ◽  
Event Recognition

scholarly journals Automatic seismic event recognition and later phase identification for broadband seismograms

1996 ◽  
Vol 86 (6) ◽  
pp. 1896-1909
Author(s):  
Cheng Tong ◽  
Brian L. N. Kennett
Keyword(s):  
Real Time ◽  
Seismic Event ◽  
Expert Knowledge ◽  
Epicentral Distance ◽  
Event Recognition ◽  
Phase Identification ◽  
Classification Problems ◽  
Real Time Analysis ◽  
Single Station ◽  
Broadband Seismograms

Abstract Knowledge of the patterns of frequently observed seismic phases associated with specific distances and depths have been well developed and applied by seismologists (see, e.g., Richter, 1958; Kulhánek, 1990). However, up till now, the expertise of recognizing seismic event patterns for teleseisms has not been translated into automatic processing procedure. A new approach is developed to automate this kind of heuristic human expertise in order to provide a means of improving preliminary event locations from a single site. An automatic interpretation system exploiting three-component broadband seismograms is used to recognize the pattern of seismic arrivals associated with the presence of a seismic event in real time accompanied by an identification of the individual phases. For a single station, such a real-time analysis can be used to provide a preliminary estimation of the location of the event. The inputs to the interpretation process are a set of features for detected phases produced by another real-time phase analyzer. The combinations of these features are investigated using a novel approach to the construction of an expert system. The automatic system exploits expert information to test likely assumptions about phase character and hence epicentral distance and depth. Some hypotheses about the nature of the event will be rejected as implausible, and for the remainder, an assessment is given of the likelihood of the interpretation based on the fit to the character of all available information. This event-recognition procedure provides an effective and feasible means of interprating events at all distances, and characterizing information between hundreds of different possible classes of patterns even when the observation is incomplete. The procedure is based on “assumption trees” and provides a useful tool for classification problems in which a number of factors have to be identified. The control set of expert knowledge used in testing hypotheses is maintained separately from the computational algorithm used in the assumption search; in consequence, the information base can be readily updated.

Confidence Inflation and Event Recognition With Young and Older Adult Eyewitnesses

2004 ◽  
Author(s):  
Jeffrey S. Neuschatz ◽  
Michael P. Toglia ◽  
Elizabeth L. Preston ◽  
James M. Lampinen ◽  
Joseph S. Neuschatz ◽  
...  
Keyword(s):  
Older Adult ◽  
Event Recognition

Analisis Sikap dan Kepuasan Petani dalam Menggunakan Benih Kelapa Sawit (Elaeis guineensis) Bersertifikat di Kabupaten Labuhan Batu Utara

AGRIMOR ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 40-44
Author(s):  
Myrna Pratiwi Nasution ◽  
Laura Juita Pinem
Keyword(s):  
Performance Analysis ◽  
Elaeis Guineensis

Produktivitas tanaman kelapa sawit sangat dipengaruhi oleh kualitas benih yang digunakan. Pemakaian benih kelapa sawit bersertifikat dipercayai oleh petani yang kritis dalam memberikan produktivitas tanaman kelapa sawit yang bermutu dan kontinyu. Sikap dan kepuasan petani dalam menggunakan benih kelapa sawit bersertifikat merupakan hal yang perlu dicermati untuk memahami keinginan petani. Penelitian ini dirancang untuk mengamati hal tersebut. Sikap petani dianalisis dengan menggunakan pendekatan multiatribut fishbean sedangkan kepuasan dianalisis dengan menggunakan Important Performance Analysis (IPA) dan Customer Satisfied Index (CSI). Berdasarkan penelitian diketahui bahwa atribut-atribut yang menentukan sikap dan kepuasan petani adalah hasil panen, ketahan terhadap hama dan penyakit, umur tanaman, daya tumbuhbenih, efisiensi penggunaan pupuk, jenis varietas, ukuran benih, sertifikasi benih, harga benih, harga Tandan Buah Segar (TBS), kemudahan dalam akses benih, stok benih, kemudahan dalam menjual TBS, dan promosi toko.Analisis multiatribut Fishbeinmenunjukkan sikap netral terhadap benih kelapa sawit bersertifikat (76 persen). Sementara hasil CSI menunjukkan bahwa 70.04 persen petani merasa puas atas atribut-atribut pada benih kelapa sawit bersertifikat.

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