Dimension Transform Based Efficient Event Filtering for Symmetric Publish/Subscribe System

2005 ◽  
pp. 786-796 ◽  
Author(s):  
Botao Wang ◽  
Masaru Kitsuregawa
Keyword(s):  
Event Filtering

DSP Coprocessor For Event Filtering In A Data Acquisition System

2005 ◽  
Author(s):  
S. Sarkar ◽  
W.R. Roberts ◽  
G. Waters ◽  
P.W. Green ◽  
W.K. Dawson
Keyword(s):  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Event Filtering

scholarly journals Heuristic Event Filtering Methodology for Interval based Temporal Semantics

2013 ◽  
Vol 70 (7) ◽  
pp. 16-20
Author(s):  
V. Govindasamy ◽  
P. Thambidurai
Keyword(s):  
Temporal Semantics ◽  
Event Filtering

scholarly journals Streaming Readout of the CLAS12 Forward Tagger Using TriDAS and JANA2

2021 ◽  
Vol 251 ◽  
pp. 04011
Author(s):  
Fabrizio Ameli ◽  
Marco Battaglieri ◽  
Mariangela Bondí ◽  
Andrea Celentano ◽  
Sergey Boyarinov ◽  
...  
Keyword(s):  
Electron Beam ◽  
Data Acquisition ◽  
System Design ◽  
Processing System ◽  
Data Acquisition System ◽  
Prototype System ◽  
Data Acquisition Systems ◽  
Event Filtering ◽  
Offline Analysis ◽  
And Performance

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.

TinyDDS

2012 ◽  
pp. 819-846 ◽  
Author(s):  
Pruet Boonma ◽  
Junichi Suzuki
Keyword(s):  
Functional Properties ◽  
Empirical Evaluation ◽  
Access Networks ◽  
Processing Efficiency ◽  
Fine Grained ◽  
Standard Data ◽  
Language Interoperability ◽  
Event Filtering ◽  
Key Issues ◽  
Data Distribution Service

Due to stringent constraints in memory footprint, processing efficiency and power consumption, traditional wireless sensor networks (WSNs) face two key issues: (1) a lack of interoperability with access networks and (2) a lack of flexibility to customize non-functional properties such as event filtering, data aggregation and routing. In order to address these issues, this chapter investigates interoperable publish/subscribe middleware for WSNs. The proposed middleware, called TinyDDS, enables the interoperability between WSNs and access networks by providing programming language interoperability and protocol interoperability based on the standard Data Distribution Service (DDS) specification. Moreover, TinyDDS provides a pluggable framework that allows WSN applications to have fine-grained control over application-level and middleware-level non-functional properties. Simulation and empirical evaluation results demonstrate that TinyDDS is lightweight and efficient on the TinyOS and SunSPOT platforms. The results also show that TinyDDS simplifies the development of publish/subscribe WSN applications.

Study of the online event filtering algorithm for BESIII

2008 ◽  
Vol 32 (5) ◽  
pp. 329-337 ◽  
Author(s):  
Fu Cheng-Dong ◽  
Zou Jia-Heng ◽  
Mo Xiao-Hu ◽  
He Kang-Lin ◽  
Bian Jian-Ming ◽  
...  
Keyword(s):  
Filtering Algorithm ◽  
Event Filtering

scholarly journals Neural networks for event filtering at D0

1989 ◽  
Vol 57 (1-3) ◽  
pp. 478-482
Author(s):  
Dave Cutts ◽  
Jan S. Hoftun ◽  
Andrew Sornborger ◽  
Christopher R. Johnson ◽  
Raymond T. Zeller
Keyword(s):  
Neural Networks ◽  
Event Filtering
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