65,132 Hits in 5.7 sec

Some optimal object-based architectural features for corrective maintenance

W.M. Evanco, J.M. Verner
Seventh European Conference onSoftware Maintenance and Reengineering, 2003. Proceedings.  
level of object coupling relative to class size that would optimize some quality factor.  ...  Scenario analysis promoted by the SEI has addressed the question of tradeoffs for software architectures, but this approach is labor intensive and subjective since it is based on scenarios posited by a  ... 
doi:10.1109/csmr.2003.1192436 dblp:conf/csmr/EvancoV03 fatcat:fej5sz4viffeznq5ypzkuswfwm

A Survey of Predictive Maintenance: Systems, Purposes and Approaches [article]

Yongyi Ran, Xin Zhou, Pengfeng Lin, Yonggang Wen, Ruilong Deng
2019 arXiv   pre-print
Then, we make clear the specific maintenance purposes/objectives, which mainly comprise cost minimization, availability/reliability maximization and multi-objective optimization.  ...  Existing traditional maintenance approaches suffer from some assumptions and limits, such as high prevent/repair costs, inadequate or inaccurate mathematical degradation processes and manual feature extraction  ...  Due to the conflicting feature among different objectives, it is typically impossible to obtain the optimal values for all the objectives simultaneously.  ... 
arXiv:1912.07383v1 fatcat:vjunlhidqra7baucyl42ss45iy

Dynamic Tableau-de-Bord: concept, tools and applications [chapter]

J. M. Neta, P. A. Silva, B. Ribeiro, J. M. Mendonça
1997 Re-engineering for Sustainable Industrial Production  
However. measuring all the needed features is a very complex and tiJne-consuming task. Inevitably. it must be supported by new software tools.  ...  Since Manufacturing Execution Systems are becoming a common solution in the majority of Portuguese companies. an adequate· architectural system approach must be found in order to sustain new developments  ...  For these two levels, the market presents a wide variety of solutions. Some are general purpose, some very process optimized. However, the gap between those information levels is immense.  ... 
doi:10.1007/978-0-387-35086-8_43 fatcat:mixx2n6dzncdjpafqpoqthfusm

Incorporating autonomicity and trustworthiness aspects for assessing software quality

Pooja Dehraj, Arun Sharma, P S. Grover
2017 International Journal of Engineering & Technology  
These self-abilities will lead towards lowering the overall maintenance cost of the software because of minimum level of human intervention.  ...  The term Autonomicity refers to the level of autonomic (self) features implemented in the system.  ...  Most of the products used for peer-topeer systems are having autonomic features, like it can handle network configuration, manage node failures, and optimize some performance automatically without much  ... 
doi:10.14419/ijet.v7i1.1.9947 fatcat:dj5llhblzbgklie7ul5dnwfy5u

REPLICA: A Solution for Next Generation IoT and Digital Twin Based Fault Diagnosis and Predictive Maintenance

Rosaria Rossini, Davide Conzon, Gianluca Prato, Claudio Pastrone, João Reis, Gil Gonçalves
2020 Zenodo  
In this paper, flexible, scalable architecture for intelligent digital twin realization called REPLICA has been proposed to cope with such problems and help industries advance and discover possible optimizations  ...  This architecture sits on top of two European projects, namely CPSwarm and RECLAIM, where their contribution focuses on distributed simulation and optimization, and Adaptive Sensorial Networks, correspondingly  ...  For this objective, the Simulation and Optimization Environment has a networkbased architecture, allowing to parallely use a set of STs distributed on different machines [16] .  ... 
doi:10.5281/zenodo.4668592 fatcat:pohcf5ggbzg2xagc22zwwpmjue

Ontologies for Software Engineering: Past, Present and Future

M. P. S. Bhatia, Akshi Kumar, Rohit Beniwal
2016 Indian Journal of Science and Technology  
Method/Statistical Analysis: Survey centred on providing an overview of the state-of-art of all the ontologies available for Software Engineering followed by their categorization based on software life  ...  Background/Objectives: Research in recent years has probed integration amongst research field of Software Engineering and Semantic Web technology, addressing the advantages of applying Semantic techniques  ...  "Software Maintenance is a broad activity that includes error corrections, enhancements of capabilities, deletion of obsolete capabilities and optimization" 22 .  ... 
doi:10.17485/ijst/2016/v9i9/71384 fatcat:4zrc4ojfizduvfprovd76ypdpe

Trends and Challenges in Intelligent Condition Monitoring of Electrical Machines Using Machine Learning

Karolina Kudelina, Toomas Vaimann, Bilal Asad, Anton Rassõlkin, Ants Kallaste, Galina Demidova
2021 Applied Sciences  
In this paper, some promising machine learning-based diagnostic techniques are presented in the perspective of their attributes.  ...  A review of the fault diagnostic techniques based on machine is presented in this paper.  ...  Figure 1 . 1 Maintenance types: (a) corrective maintenance, (b) preventive maintenance, (c) predictive maintenance.  ... 
doi:10.3390/app11062761 fatcat:ncor7jpujfc4xav3w2b5rt77da


Osama M. Khaled, Hoda M. Hosny, Mohamed Shalan
2018 Figshare  
It provides conceptual views for the smart environment (SE), the smart object (SO), and the pervasive system (PS).  ...  In this paper, we propose a reference architecture for pervasive computing that captures most, if not all, of the key challenges and provides a new architecture model that can be used in almost any business  ...  We aim to have a large-scale implementation using our architectural reference model as well.  ... 
doi:10.6084/m9.figshare.6400859.v1 fatcat:yh42bz3zt5cyhkvmwz2x5d7ktm

A Product Line engineering practices model

François Coallier, Roger Champagne
2005 Science of Computer Programming  
An important objective of this Product Line practices model is that it should be easily incorporated into existing development methodologies, while remaining aligned with existing systems engineering standards  ...  These people provided valuable comments and insights that allowed us to substantially improve this paper and the interaction also gave us some ideas for future research.  ...  Perform Core Asset Maintenance Adaptive, corrective and perfective maintenance of core assets. To perform the adaptive, corrective and perfective maintenance of core assets.  ... 
doi:10.1016/j.scico.2004.10.006 fatcat:tkeuxbu73zez5l2tdnz6eyy3zy

Software architecture knowledge for intelligent light maintenance

Bernard Kamsu-Foguem, Yvan Mathieu
2014 Advances in Engineering Software  
In this context we propose a generic model for supporting and generating industrial lights maintenance processes.  ...  To support the maintenance processes of a wide range of industrial services, a knowledge-based component is useful to perform the intelligent monitoring.  ...  The technicians having no longer to move, they can use the time for preventive maintenance such as corrective maintenance time.  ... 
doi:10.1016/j.advengsoft.2013.09.003 fatcat:3jjr5fqnvfbldj7pwr6mnuqtrm

A Decision Support System for the Prediction of Wastewater Pumping Station Failures Based on CBR Continuous Learning Model

B. Trstenjak, B. Palasek, J. Trstenjak
2019 Engineering, Technology & Applied Science Research  
This paper presents a new DSS for predicting the failure of wastewater pumping stations, the system architecture and its implementation.  ...  The prediction model is based on the Case Based Reasoning (CBR) classification method. The standard CBR classification technique has been upgraded with an algorithm for continuous learning.  ...  The primary objective in this research is focused on assessing the correctness of a wastewater pumping station, to predict the correctness of a wastewater pump as its base elements.  ... 
doi:10.48084/etasr.3031 fatcat:zqazli5ddre75gcweeynqnieui

A Multi-Objective Dragongfly Optimization for Requirement Traceability Establishment

Swathine.K , Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
Generally, traceability research is based on empirical investigations for exploring newer investigational queries or to compute newer tracing methods.  ...  Various manufacturers struggle in predicting the appropriate traceability degree for their needs and produce the appropriate set of traceability links.  ...  Multi-objective Dragonfly for traceability requirements Dragonfly algorithm is designed by Mirjalili which is a meta-heuristic optimization approach which is based on swarm intelligence designed based  ... 
doi:10.17762/turcomat.v12i2.2200 fatcat:5vsv3szt5ba6hj6224q36emwue

Ginkgo: A high performance numerical linear algebra library

Hartwig Anzt, Terry Cojean, Yen-Chen Chen, Goran Flegar, Fritz Göbel, Thomas Grützmacher, Pratik Nayak, Tobias Ribizel, Yu-Hsiang Tsai
2020 Journal of Open Source Software  
Ginkgo is a production-ready sparse linear algebra library for high performance computing on GPU-centric architectures with a high level of performance portability and focuses on software sustainability  ...  The first one is the class and object-oriented design based in part on linear operators which aims to provide an easy to use interface, common for all the devices and linear algebra objects.  ...  These low level kernels are optimized for the specific device and make use of C++ features such as templates to generate high-performance kernels for a wide variety of parameters.  ... 
doi:10.21105/joss.02260 fatcat:4pd44vwhwjeq5aoprhpltsgtna

Sediment Level Prediction of a Combined Sewer System Using Spatial Features

Marc Ribalta, Carles Mateu, Ramon Bejar, Edgar Rubión, Lluís Echeverria, Francisco Javier Varela Varela Alegre, Lluís Corominas
2021 Sustainability  
Two ML methodologies involve the use of spatial features for sediment prediction at critical sections of the sewer, where the cost of maintenance is high because of the dangerous access; one uses a regression  ...  The prediction of sediment levels in combined sewer system (CSS) would result in enormous savings in resources for their maintenance as a reduced number of inspections would be needed.  ...  Acknowledgments: The authors would like to acknowledge the water utility BCASA for providing the data for the study and the SCOREwater project for providing the opportunity to work on this research.  ... 
doi:10.3390/su13074013 fatcat:s55gw3qhybfchc3ovh6s6nnylq

Ontology Fixing by Using Software Engineering Technology

Gabriela R. Roldan-Molina, Jose R. Mendez, Iryna Yevseyeva, Vitor Basto-Fernandes
2020 Applied Sciences  
This paper presents OntologyFixer, a web-based tool that supports a methodology to build, assess, and improve the quality of ontology web language (OWL) ontologies.  ...  ontology fixing, and REST (REpresentational State Transfer) API (Application Programming Interface) components (used for pitfall identification, and ontology evaluation).  ...  Acknowledgments: SING group thanks CITI (Centro de Investigación, Transferencia e Innovación) from University of Vigo for hosting its IT infrastructure.  ... 
doi:10.3390/app10186328 fatcat:pm74wu3gvndehexojeaj46x5p4
« Previous Showing results 1 — 15 out of 65,132 results