Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.825
JCR 5-Year IF: 0.752
SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: May 2022
Next issue: Aug 2022
Avg review time: 79 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

1,942,848 unique visits
770,237 downloads
Since November 1, 2009



Robots online now
Applebot
SemanticScholar


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 22 (2022)
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
 Volume 20 (2020)
 
     »   Issue 4 / 2020
 
     »   Issue 3 / 2020
 
     »   Issue 2 / 2020
 
     »   Issue 1 / 2020
 
 
 Volume 19 (2019)
 
     »   Issue 4 / 2019
 
     »   Issue 3 / 2019
 
     »   Issue 2 / 2019
 
     »   Issue 1 / 2019
 
 
 Volume 18 (2018)
 
     »   Issue 4 / 2018
 
     »   Issue 3 / 2018
 
     »   Issue 2 / 2018
 
     »   Issue 1 / 2018
 
 
  View all issues  








LATEST NEWS

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

2021-Apr-15
Release of the v3 version of AECE Journal website. We moved to a new server and implemented the latest cryptographic protocols to assure better compatibility with the most recent browsers. Our website accepts now only TLS 1.2 and TLS 1.3 secure connections.

Read More »


    
 

  4/2011 - 10

CHEERUP: A General Software-Environment for Building, Using and Administering Predictive Monitoring Portals

MUSSI, S. See more information about MUSSI, S. on SCOPUS See more information about MUSSI, S. on IEEExplore See more information about MUSSI, S. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (405 KB) | Citation | Downloads: 1,101 | Views: 687

Author keywords
computer applications, predictive models, learning systems, data processing

References keywords
monitoring(13), predictive(11), manufacturing(6), technology(5), systems(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 63 - 70
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04010
Web of Science Accession Number: 000297764500010
SCOPUS ID: 84856597875

Abstract
Quick view
Full text preview
The intended meaning of the term predictive monitoring used in the paper is the following. A population of subjects (living beings, machines, works of art, etc.) is monitored by a domain expert with regard to the possible occurrence of an undesired/desired event E. More precisely, an expert periodically (e.g. every two years, every week, etc. depending on the specific application) examines the single subjects and, for each of them, enters examination outcomes in a database where statistical data are automatically processed in order to produce probabilistic inferences about the occurrence in the future of E for the subject under examination (individualized prediction). This allows the expert to take suitable measures in advance in order to prevent/favour the occurrence of E for the subject. Such an approach to predictive monitoring requires that the expert who monitors subjects has at his/her disposal a suitable software system provided with database and algorithms for both properly managing monitoring-processes and producing probabilistic predictions. The paper presents CHEERUP : a prototype product, usable via Internet, that consists in a general software-environment for building, using and administering specific predictive monitoring software-systems (in the paper called portals).


References | Cited By  «-- Click to see who has cited this paper

[1] S. Spiewak and M. Szafarczyk, "A Predictive Monitoring and Diagnosis System for Manufacturing", CIRP Annals - Manufacturing Technology, vol. 40, no. 1, pp. 400-403, 1991.

[2] J. Lee, J. Ni, D. Djurdjanovic, H. Qiu and H. Liao, "Intelligent prognostics tools and e-maintenance", Computers in Industry, vol.57, no. 6, pp. 476-489, 2006.
[CrossRef] [Web of Science Times Cited 357] [SCOPUS Times Cited 463]


[3] H. Liao and J. Lee, "Predictive Monitoring and Failure Prevention of Vehicle Electronic Components and Sensor Systems", SAE 2006 World Congress & Exhibition, April 2006, Detroit, MI, USA, Session: Automobile Electronics and Systems Reliability (Part 1 of 2).

[4] R. Kothamasu, S. H. Huang and William H. VerDuin, "System health monitoring and prognostics—a review of current paradigms and practices", The International Journal of Advanced Manufacturing Technology, vol. 28, no. 9-10, pp. 1012-1024, 2006.
[CrossRef] [Web of Science Times Cited 194] [SCOPUS Times Cited 282]


[5] F. Ly, A. K. A. Toguyeni and E. Craye, "Indirect predictive monitoring in flexible manufacturing systems", Robotics and Computer-Integrated Manufacturing, vol. 16, no. 5, pp. 321-338, 2000.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 14]


[6] B. C. Juricek, D. E. Seborg and W. E. Larimore, "Predictive monitoring for abnormal situation management", Journal of Process Control, vol. 11, no. 2, pp. 111-128, 2001.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 45]


[7] S. A. Spiewak, R. Duggirala and K. Barnett, "Predictive Monitoring and Control of the Cold Extrusion Process", CIRP Annals - Manufacturing Technology, vol. 49, no. 1, pp. 383-386, 2000.

[8] J. Jeng, C. Li, H. Huang, "Dynamic Processes Monitoring Using Predictive PCA", Journal of the Chinese Institute of Engineers, vol. 29, no. 2, pp. 311-318, 2006.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[9] A. Ali, A. Khelil, F. K. Shaikh and N. Suri, "MPM: Map based Predictive Monitoring for Wireless Sensor Networks", Autonomic Computing and Communications Systems, Third Int. ICST Conf. Autonomics 2009, Limassol, Cyprus, September 9-11, 2009.

[10] S. C. Choi and P. A. Pepple, "Monitoring Clinical Trials Based on Predictive Probability of Significance", Biometrics, vol. 45, no. 1, pp. 317-323, 1989.

[11] J. Reifman, S. Rajaraman, A. Gribok and W. K. Ward, "Predictive Monitoring for Improved Management of Glucose Levels", J Diabetes Science Technology, vol. 1, no. 4, pp. 478-486, 2007. [PubMed]

[12] C. Perez-Gandia, A. Facchinetti, G. Sparacino, C. Cobelli, E.J. Gómez, M. Rigla, A. de Leiva and M.E. Hernando, "Artificial Neural Network Algorithm for Online Glucose Prediction from Continuous Glucose Monitoring", Diabetes Technology & Therapeutics, vol. 12, no. 1, pp. 81-88, 2010.
[CrossRef] [Web of Science Times Cited 149] [SCOPUS Times Cited 202]


[13] J. Chen, T.-Y. Hsu, C.-C. Chen, and Y.-C. Cheng, "Online Predictive Monitoring Using Dynamic Imaging of Furnaces with the Combinational Method of Multiway Principal Component Analysis and Hidden Markov Model", Industrial & Engineering Chemistry Research, vol. 50, no 5, pp. 2946-2958, 2011.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 11]


[14] D. P. O'leary, L. L. Davis and S. Li, "Predictive Monitoring of High-frequency Vestibulo-ocular Reflex Rehabilitation Following Gentamicin Ototoxicity", Acta Oto-Laryngologica, vol. 115, no. S520, pp. 202-204, 1995.
[CrossRef] [SCOPUS Times Cited 13]


[15] F. V. Jensen, An Introduction to Bayesian networks, London: UCL Press, 1996.

References Weight

Web of Science® Citations for all references: 753 TCR
SCOPUS® Citations for all references: 1,031 TCR

Web of Science® Average Citations per reference: 50 ACR
SCOPUS® Average Citations per reference: 69 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-08-08 03:36 in 55 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2022
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: