Seismic Network Analysis and Processing System (SNAPS): system design and user's guide for hypocenter determination

1977 ◽  
Author(s):  
Arthur C. Tarr ◽  
N.S. Davids
Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 699 ◽  
Author(s):  
Carmen Moret-Tatay ◽  
Inmaculada Baixauli-Fortea ◽  
M. Dolores Grau Sevilla ◽  
Tatiana Quarti Irigaray

Face recognition is located in the fusiform gyrus, which is also related to other tasks such word recognition. Although these two processes have several similarities, there are remarkable differences that include a vast range of approaches, which results from different groups of participants. This research aims to examine how the word-processing system processes faces at different moments and vice versa. Two experiments were carried out. Experiment 1 allowed us to examine the classical discrimination task, while Experiment 2 allowed us to examine very early moments of discrimination. In the first experiment, 20 Spanish University students volunteered to participate. Secondly, a sample of 60 participants from different nationalities volunteered to take part in Experiment 2. Furthermore, the role of sex and place of origin were considered in Experiment 1. No differences between men and women were found in Experiment 1, nor between conditions. However, Experiment 2 depicted shorter latencies for faces than word names, as well as a higher masked repetition priming effect for word identities and word names preceded by faces. Emerging methodologies in the field might help us to better understand the relationship among these two processes. For this reason, a network analysis approach was carried out, depicting sub-communities of nodes related to face or word name recognition, which were replicated across different groups of participants. Bootstrap inferences are proposed to account for variability in estimating the probabilities in the current samples. This supports that both processes are related to early moments of recognition, and rather than being independent, they might be bilaterally distributed with some expert specializations or preferences.


2021 ◽  
Vol 251 ◽  
pp. 04011
Author(s):  
Fabrizio Ameli ◽  
Marco Battaglieri ◽  
Mariangela Bondí ◽  
Andrea Celentano ◽  
Sergey Boyarinov ◽  
...  

An effort is underway to develop streaming readout data acquisition system for the CLAS12 detector in Jefferson Lab’s experimental Hall-B. Successful beam tests were performed in the spring and summer of 2020 using a 10GeV electron beam from Jefferson Lab’s CEBAF accelerator. The prototype system combined elements of the TriDAS and CODA data acquisition systems with the JANA2 analysis/reconstruction framework. This successfully merged components that included an FPGA stream source, a distributed hit processing system, and software plugins that allowed offline analysis written in C++ to be used for online event filtering. Details of the system design and performance are presented.


Author(s):  
Yuanxiang Wang ◽  
Qingyu Hou ◽  
Xingkui Xu ◽  
Chunfeng Wu ◽  
Wenbo Tuo ◽  
...  

1992 ◽  
Author(s):  
Xiao-Li Xu ◽  
Jim J. Wortman ◽  
Mehmet C. Ozturk ◽  
Furman Y. Sorrell

2013 ◽  
Vol 340 ◽  
pp. 606-610
Author(s):  
Jian Ming Xu

In order to investigate the system performance, its necessary to select an even background point target as the imaging object. The system realizes the real-time sampling, processing and displaying infrared image through joint debugging the SOPC processing system. SOPC is a flexible and effective SOC solution because of its flexibilities of system design, reduction, extension, upgrading, etc. And its hardware and software system are programmable. We present and develop a wireless video monitoring system based on SOPC in this paper, and the system benefits the production of infrared imaging sets of higher performance, lower power consumption and smaller size.


Sign in / Sign up

Export Citation Format

Share Document