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Sequence-based Detection of Sleeping Cell Failures in Mobile Networks [article]

Fedor Chernogorov, Sergey Chernov, Kimmo Brigatti, Tapani Ristaniemi
2015 arXiv   pre-print
The proposed detection framework uses N-gram analysis for identification of abnormal behavior in sequences of network events.  ...  Achieved results demonstrate that the suggested method can be used in modern performance monitoring systems for reliable, timely and automatic detection of random access channel sleeping cells.  ...  Work on this study has been partly funded by MIPCOM project, Graduate School in Electronics, Telecommunications and Automation (GETA), and Doctoral Program in Computing and Mathematical Sciences (COMAS  ... 
arXiv:1501.03935v2 fatcat:t3nrjbcfnfes3dtnliynqi4wxa

An Adaptive Framework for Optimization and Prediction of Air Traffic Management (Sub-)Systems with Machine Learning

Stefan Reitmann, Michael Schultz
2022 Aerospace (Basel)  
Overall, the discussed framework represents a strict guideline for addressing data and machine learning (ML)-based analysis and metaheuristic optimization in ATM.  ...  When regarding aviation as a time-continuous system measured in value-discrete time series via performance indicators and certain metrics, it is important to use sufficiently targeted mathematical models  ...  Figure 2 shows some of the system dependencies that exist in developing a key performance indicator (KPI) for delays.  ... 
doi:10.3390/aerospace9020077 fatcat:hoy5korrerh2zn5bm52b5hskbe

Bottom to top approach for railway KPI generation [chapter]

Roberto Villarejo, Carl-Anders Johansson, Urko Leturiondo, Victor Victor, Victor Galar
2014 Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014  
There is a need for an improved method to analyse railway data to find the relevant KPIs.  ...  In this scenario, a plurality of use indices and weighting values are used to create a composite and aggregated use index from a combination of lower level use indices and weighting values.  ...  The development of a variety of track condition indicators such as geometry cars, rail defect detection equipment and gage restraint management systems has resulted in a significant amount of new and useful  ... 
doi:10.14195/978-972-8954-42-0_25 fatcat:4uugzcirnvfpjhbb2gcj6jmzli

Bottom to Top Approach for Railway KPI Generation

Roberto Villarejo, Carl-Anders Johansson, Urko Leturiondo, Victor Simon, Dammika Seneviratne, Diego Galar
2017 Management Systems in Production Engineering  
There is a need for an improved method to analyse railway data to find the relevant KPIs.  ...  In this scenario, a plurality of use indices and weighting values are used to create a composite and aggregated use index from a combination of lower level use indices and weighting values.  ...  The development of a variety of track condition indicators such as geometry cars, rail defect detection equipment and gage restraint management systems has resulted in a significant amount of new and useful  ... 
doi:10.1515/mspe-2017-0028 fatcat:zy5ipfkomfegrj5ku2pzonk4qe

A Framework for Monitoring Ecosystems-Based Adaptation to Climate Change: Experience from The Gambia

Peter Gilruth, Lalisa A. Duguma, Peter A. Minang, Alagie Bah, Malanding S. Jaiteh, Solomon Mwangi, Muhammad Ahmad
2021 Sustainability  
The framework contributes to the set of tools currently in use for EbA monitoring by offering an umbrella within which existing tools can be applied.  ...  Initial products from this research include a generic, five-step process for developing and testing adaptation indicators, a robust framework consisting of (i) the indicators, data and information used  ...  We are also very grateful for the technical support of the EbA project field teams in commenting on the monitoring tool.  ... 
doi:10.3390/su131910959 fatcat:v4z6mayxsrgoxd2wb2tjzhuk2m

On the Use of Composite Indicators for Mobile Communications Network Management in Smart Sustainable Cities

Carmen Botella-Mascarell, Joaquin Perez, Juan Soria, Sandra Roger
2020 Applied Sciences  
In this paper, we propose the use of composite indicators based on key performance indicators both as a tool for a cognitive management of mobile communications networks, as well as a metric which could  ...  A use case that is based on a universal mobile telecommunications system network is analyzed, due to technology simplicity and scalability, as well as the availability of key performance indicators.  ...  In regions, such as Sub Saharan Africa, this percentage increases up to 58%.  ... 
doi:10.3390/app11010181 fatcat:2ohhqxj25zfbvf2p573266ng6m

Design of a self-learning multi-agent framework for the adaptation of modular production systems

Daniele Scrimieri, Shukri M. Afazov, Svetan M. Ratchev
2021 The International Journal of Advanced Manufacturing Technology  
The framework includes general implementations of agents and other software components for self-learning and adaptation, sensor data analysis, system modelling and simulation, as well as human-computer  ...  The results indicate that the use of the framework in a typical adaptation process provides a significant reduction in time and resources required.  ...  Another example is vision systems with cameras and inspection software for feature detection.  ... 
doi:10.1007/s00170-021-07028-z fatcat:y7l7zdqk5zesbjmgjeaa3lznxa

Computationally unifying urban masterplanning

David Birch, Paul H. J. Kelly, Anthony J. Field, Alvise Simondetti
2013 Proceedings of the ACM International Conference on Computing Frontiers - CF '13  
used in a DEF analysis enabling comparison of different district energy systems using a variety of KPIs.  ...  For example a poor score may result from a single KPI in one discipline being sub-par.  ... 
doi:10.1145/2482767.2482808 dblp:conf/cf/BirchKFS13 fatcat:35hkjyronzbcpp25jikqirsnhe

DECISION SUPPORT VISUALIZATION APPROACH IN TEXTILE MANUFACTURING A CASE STUDY FROM OPERATIONAL CONTROL IN TEXTILE INDUSTRY

Leonilde Varela, Algoritmi Center, School of Engineering, University of Minho, Portugal, Gabriela Amaral, Sofia Pereira, Diogo Machado, António Falcão, Rita A. Ribeiro, Emanuel Sousa, Jorge A. Santos, Alfredo F. Pereira, Goran D. Putnik, Luís Ferreira (+1 others)
2019 International Journal for Quality Research  
In this study, was used a visualization tool capable of handling multivariate time series for studying a problem of operational control in a textile manufacturing plant; the main goal was to identify sources  ...  A concise rule-based model of the inefficiency measures (i.e. quantitative measures were transformed into categorical variables) was developed and then performed an in-depth visual analysis using a particular  ...  Acknowledgements: This study was partially conducted at the Psychology Research Centre (UID/PSI/01662/2013), University of Minho, and supported by the Portuguese Foundation for Science and Technology and  ... 
doi:10.24874/ijqr13.04-16 fatcat:bgat7htoxjbyvckfril5c2wf2y

A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks

Paulo Valente Klaine, Muhammad Ali Imran, Oluwakayode Onireti, Richard Demo Souza
2017 IEEE Communications Surveys and Tutorials  
networks domain and fully enable the concept of SON in the near future.  ...  In order for future networks to overcome the current limitations and address the issues of current cellular systems, it is clear that more intelligence needs to be deployed, so that a fully autonomous  ...  ACKNOWLEDGMENT The authors would like to thank CNPq (Brazil) for the support for this work.  ... 
doi:10.1109/comst.2017.2727878 fatcat:in5uol6wxba5lhmwov3v5rnz5q

Measuring maintenance performance: a holistic approach

Albert H.C. Tsang, Andrew K.S. Jardine, Harvey Kolodny
1999 International Journal of Operations & Production Management  
The operational efficiency of an organization's maintenance function can be benchmarked with those of its counterparts in other organizations by using Data Envelopment Analysis (DEA) .  ...  System audits are the tool for measuring organizational culture, which in turn determines the appropriate approach to the organization of maintenance functions.  ...  Acknowledgement We are pleased to thank the Natural Science & Engineering Research Council of Canada for their support under Grant A4174.  ... 
doi:10.1108/01443579910271674 fatcat:2ikv6v5upzadnipv6c75z2or2a

Multidimensional Databases and Data Warehousing

Christian S. Jensen, Torben Bach Pedersen, Christian Thomsen
2010 Synthesis Lectures on Data Management  
Potential topics include, but not are limited to: query languages, database system architectures, transaction management, data warehousing, XML and databases, data stream systems, wide scale data distribution  ...  We also thank Tamer for identifying problems such as typos and hard-to-follow prose in an earlier draft of the lecture, and for challenging us to find ways of using the noun "data" that comply with the  ...  We thank Tamer Özsu for inviting us to contribute the lecture, and we thank Diane Cerra for her insightful management of the entire process.  ... 
doi:10.2200/s00299ed1v01y201009dtm009 fatcat:okkbzn3ahzcfxkthg5zfhv7dhq

Energy Technological Review

Alberto Landini, Tommaso Zerbi, John Morrissey, Stepehen Axon
2016 Zenodo  
A best practice methodology for defining and applying KPIs was pursued; for this reason, an extensive review of the academic literature in this area was conducted and is presented in this deliverable.  ...  Following the actors and actor-networks analysis realised during Task 2.1, the work performed during Task 2.2 represents a further step towards the complete energy system characterisation, as it provides  ...  Wave farms that are used for testing the concept of wave power can be found in Portugal, the United Kingdom, Australia, and the United States.  ... 
doi:10.5281/zenodo.3479264 fatcat:zhsow6pnsfd2tlj7bkyrepnnnq

Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations

Yichuan Wang, LeeAnn Kung, Terry Anthony Byrd
2018 Technological forecasting & social change  
From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical  ...  In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies.  ...  remain problematic in many instances.  ... 
doi:10.1016/j.techfore.2015.12.019 fatcat:bliiblzo2vaszal6bp5ualb7ui

A Virtual Community of Practice Proposal for Business Intelligence Researchers

Diana TÂRNĂVEANU
2012 Informatică economică  
In an economical post-crisis context, the general tendency is to migrate to stronger alliances that offer support.  ...  An organization can remain an important competitor in a changing market only optimizing performance, constantly taking advantage of the raisin opportunities, risking and being flexible at new multiple  ...  Multidimensional analysis offers real advantages for the decisional factor, representing an intuitive approach of forecasting in the present context of market economy.  ... 
doaj:3919388b4f5a4924b517f5d7446c1e15 fatcat:3xth7lainjedhl2dth5lpnzacm
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