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A Methodology for Designing Events and Patterns in Fast Data Processing [chapter]

Dominik Riemer, Nenad Stojanovic, Ljiljana Stojanovic
2013 Lecture Notes in Computer Science  
In order to leverage the usage of event processing in everyday situations, a clear methodology for the identification and definition of events and event patterns is needed.  ...  In this paper, we propose an end-to-end methodology for designing event processing systems.  ...  Conclusions and Future Work In this paper, we presented a novel methodology for designing events and patterns in fast data processing.  ... 
doi:10.1007/978-3-642-38709-8_9 fatcat:5hdtxhlppjailmb6zhfpqtcgr4

SEPP: Semantics-Based Management of Fast Data Streams

Dominik Riemer, Ljiljana Stojanovic, Nenad Stojanovic
2014 2014 IEEE 7th International Conference on Service-Oriented Computing and Applications  
Complex Event Processing is an integral part of many fast data application as an underlying technology for event correlation and pattern detection.  ...  In this paper, we propose a semantic model for the management of fast data streams using the concept of Semantic Event Processing Pipelines (SEPP).  ...  We would like to thank Florian Kaulfersch for his contribution to the implementation.  ... 
doi:10.1109/soca.2014.52 dblp:conf/soca/RiemerSS14 fatcat:fmvyasvabnhpro7ibw2onzplqm

Model-driven fast prototyping of RIAs: From conceptual models to running applications

Mario Luca Bernardi, Giuseppe Antonio Di Lucca, Damiano Distante
2014 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)  
In this paper we propose a model-driven approach for the fast prototyping of Rich Internet Applications (RIAs).  ...  Fast prototyping is a quick and cost effective development of a (minimum) viable version of a software useful to some purpose (e.g., requirements verification or design validation), which can be discarded  ...  The approach can be combined with any conceptual design method for Web applications to realize a fast prototyping approach for this method, not only with the UWA design methodology we used in this paper  ... 
doi:10.1109/icacci.2014.6968522 dblp:conf/icacci/BernardiLD14 fatcat:x4daxudsondu3mqkahbq7w623i

Continuous Compliance using Calculated Event Log Layers [article]

Teemu Lehto, Johan Myrberger, Apoorva Pandey
2021 arXiv   pre-print
Continuous compliance using calculated event log layers brings compliance into a continuous mode, where risk vectors become visible in real-time data and actions are taken continuously and proficiently  ...  Our model of process mining utilizes calculated events to implement this continuous form of compliance management.  ...  We thank Ericsson and QPR Software Plc for funding this work. The methodology presented in this paper has been implemented in a commercial process mining tool QPR ProcessAnalyzer.  ... 
arXiv:2110.00411v1 fatcat:ysvjlhzbwbbgxphzaulscr2s4u


António Barbosa, Hugo Sarmento, José Neto, M. Teresa Anguera, Jorge Campaniço
2014 Sport Mont Journal  
The results allows us to better understand the similarities and differences between them. Methods: The design used in the present study was based on an observational methodology for data collecting.  ...  The collected data were introduced in the SDIS-GSEQ program for Windows (version 5.1).  ...  The results allows us to better understand the similarities and differences between them. Methods: The design used in the present study was based on an observational methodology for data collecting.  ... 
doaj:916288b8a29f4dd3a74cf5e379fff965 fatcat:fkyfenbvxba4hgkoreajy22pki

Fixation-related EEG frequency band power analysis

Christian Scharinger
2018 frontline Learning Research  
Basically, fixation-onset serves as time-locking event for epoching and analysing the EEG data.  ...  Despite methodological challenges still to be solved, FRBP may provide a more indepth picture of cognitive processing during multimedia learning compared to eyetracking data or EEG data in isolation and  ...  Thus, when interested in fixation-related EEG data for multimedia, that is, when comparing EEG data for text reading and picture viewing, the EEG may be confounded by different eye-movement patterns.  ... 
doi:10.14786/flr.v6i3.373 fatcat:7zquxgushrcnncwcykb3xgimfu

A Survey of Predicting Heart Disease

M Preethi, J Selvakumar
2020 JOIV: International Journal on Informatics Visualization  
This paper describes various methods of data mining, big data and machine learning models for predicting the heart disease.  ...  Data mining and machine learning plays an important role in building an important model for medical system to predict heart disease or cardiovascular disease.  ...  The useful patterns with hidden patterns, unknown correlations are analytically handled for making knowledgeable decision through this Big Data analytics process. II.  ... 
doi:10.30630/joiv.4.2.365 fatcat:62uoyms37vfrpguu2gdsdyl3kq

Process Design Patterns in Emergency Management [chapter]

Tomáš Ludík, Tomáš Pitner
2015 IFIP Advances in Information and Communication Technology  
Emergency management is a discipline of dealing with and avoiding risks. In case of any emergency the immediate and fast intervention is necessary.  ...  Each design pattern does not represent a final emergency process, but only a certain structure which is necessary to further customize according to current user requirements.  ...  In specific terms, it is process methodology, reference architecture, factors for implementation, design patterns and quality assurance processes. Fig. 1.  ... 
doi:10.1007/978-3-319-15994-2_44 fatcat:ebpicttpqbcu3gylzvb5ipve7e

Design and Implementation of a Data Warehouse to Support Decision-Making in a Health Environment

Simon G. Cornejo, Karina Caro, Luis-Felipe Rodriguez, Roberto Aguilar A., Cynthia B. Perez, Luis A. Castro
2018 Research in Computing Science  
We used the Business Event Analysis and Modeling (BEAM) methodology for the design and implementation of the data warehouse, a novel methodology to design agile data warehouses.  ...  In this paper, we present the design and implementation of a data warehouse designed to strengthen decision-making related to epidemiological patterns, trends, areas of influence and other pathologies.  ...  On the side of the design of data warehouses, the Business Event Analysis and Modeling (BEAM) methodology [5] offers several advantages for designing data warehouses.  ... 
doi:10.13053/rcs-147-3-5 fatcat:vlpbxq3t75aajkwtjwujb7cuba

Implementation guidelines for closed loop control algorithms on PLCs

R. Hametner, G. Schitter, A. Voigt, A. Zoitl
2013 2013 IEEE International Conference on Industrial Technology (ICIT)  
A detailed analysis is presented concerning their timing characteristics and solutions are proposed for the actual realization of these design variants by applying IEC 61499 function blocks.  ...  Timing constraints have to be taken into account, often leading to a compromise between real-time capabilities of the control and accuracy of the calculated values.  ...  ACKNOWLEDGMENT The authors want to thank Richard Wipp and Lukas Haffner from VOIGT+WIPP Engineers GmbH for their fruitful discussions.  ... 
doi:10.1109/icit.2013.6505860 fatcat:hieykcfhjbfjff6vnsjheclgwy

Scalable Proactive Event-Driven Decision Making

Alexander Artikis, Chris Baber, Pedro Bizarro, Carlos Canudas-de-Wit, Opher Etzion, Fabiana Fournier, Paul Goulart, Andrew Howes, John Lygeros, Georgios Paliouras, Assaf Schuster, Izchak Sharfman
2014 IEEE technology & society magazine  
To summarize, our methodology supports on-the-fly, low-latency processing of extremely large, geographically distributed, noisy event streams and historical data, for recognizing and forecasting opportunities  ...  Automata used for detecting patterns over deterministic events are unsuitable in this scenario.  ... 
doi:10.1109/mts.2014.2345131 fatcat:th3zlu2ornhcjkdwxd7efwcrpq

Real-time fault diagnosis using knowledge-based expert system

Cen Nan, Faisal Khan, M. Tariq Iqbal
2008 Chemical engineering research & design  
Acknowledgement Authors are thankful to the Natural Science and Engineering Research Council of Canada (NSERC) and AIF Inco Innovation Centre Project for providing financial support for this research.  ...  In late 80s Venkatasubramanian and Chan (1989) proposed a neural network based methodology for process fault diagnosis.  ...  It could be industrial data such as the data obtained from the sensor or the simulated data. The output frequency of this block should be high enough in order to capture the fast updated pattern.  ... 
doi:10.1016/j.psep.2007.10.014 fatcat:3fi7khsjjnhq5dwuhsnxp6fepe

Development of Distributed Applications Using Service-Oriented-Architecture

Pragati Priyadarshinee, Y. Ramadevi, Anuradh Srinivas
2011 Journal of clean energy technologies  
The paper also suggests identifying existing or new design patterns to capture common business process functionalities and fulfill the non-functional requirements.  ...  There are a large number of software development methodologies for developing standalone software, little effort is being made into investigating specialized methodologies that target the development of  ...  This SA must integrate key legacy applications and business processes for that domain. 2) Domain-Specific Design Patterns We address quality (non-functional) requirements through the extraction and identification  ... 
doi:10.7763/ijcte.2011.v3.411 fatcat:w7gt646xm5f2bbfgzinspcvaxy

An Interdisciplinary Perspective to the Design and Decision Support of Integral Safety Systems

Christian Berger, Panagiotis Katsaros, Mahdi Bohlouli, Lefteris Angelis
2013 IFAC Proceedings Volumes  
Recent advances in sensor data analytics are then explored and their integration with decision support for vehicle control is examined.  ...  We explore the interplay between key technology areas towards a holistic approach in the design and decision support of integral safety systems.  ...  These tools offer the opportunity to combine a wide range of statistical methodologies and models that are able to cooperate for processing massive data from heterogeneous sources and producing output  ... 
doi:10.3182/20130904-3-uk-4041.00045 fatcat:w3eg54qcsnhibjumrn4bwncgre

Laborious but Elaborate: The Benefits of Really Studying Team Dynamics

Michaela Kolbe, Margarete Boos
2019 Frontiers in Psychology  
In this manuscript we discuss the consequences of methodological choices when studying team processes "in the wild."  ...  and learning (e.g., in post-event clinical debriefings).  ...  We also thank Bastian Grande and Kia Homayounfar for sharing their medical expertise.  ... 
doi:10.3389/fpsyg.2019.01478 pmid:31316435 pmcid:PMC6611000 fatcat:wqdgkzzsdnazbddr3smqamtcte
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