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@article{CURRENNT,
author = {Felix Weninger},
title = {Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit},
journal = {Journal of Machine Learning Research},
year = {2015},
volume = {16},
pages = {547-551},
url = {http://jmlr.org/papers/v16/weninger15a.html}
}
@misc{CURRENNTFORK,
added-at = {2016-07-23},
author = {Tero Keski-Valkama},
title = {A fork of {CURRENNT} to make it run against the latest {CUDA} toolkit},
url = {https://github.com/keskival/currennt}
year = 2016
}
@misc{FASSimulator,
added-at = {2016-07-23},
title = {Flexible assembly simulation: {FAS Simulator}},
author = {Tero Keski-Valkama},
url = {https://github.com/keskival/FAS-Simulator}
year = 2016
}
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howpublished = "\url{http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf}"
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@misc{IndustryHack,
added-at = {2016-07-23},
author = {Tero Keski-Valkama},
title = "Cybercom Team Won the \#{IndustryHack} \#{HackTheFactory} \@{Fastems} - {Summary}",
url = {https://www.linkedin.com/pulse/cybercom-team-won-industryhack-hackthefactory-fastems-keski-valkama}
year = 2015
}
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title={Learning precise timing with LSTM recurrent networks},
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@article{giulio,
author = {Giulio Rosati and Maurizio Faccio and Christian Finetto and Andrea Carli},
title = {Modelling and optimization of fully flexible assembly systems (F-FAS)},
journal = {Assembly Automation},
volume = {33},
number = {2},
pages = {165-174},
year = {2013},
doi = {10.1108/01445151311306690},
URL = {
http://dx.doi.org/10.1108/01445151311306690
},
eprint = {
http://dx.doi.org/10.1108/01445151311306690
},
abstract = { Purpose – The paper aims to address the modelling and optimization of fully flexible assembly systems (F-FAS), a new concept in flexible automation recently introduced by the authors.Design/methodology/approach – The paper presents a mathematical model of the F‐FAS, which makes it possible to predict its efficiency, throughput and unit direct production costs, correlating such values with system and production variables. The mathematical model proposed in the paper was derived from experimental and simulation data, which were analysed for a wide range of different productions and system settings.Findings – Correlation analysis revealed that there are three main determinants of the efficiency of the F‐FAS: the number of components (types of parts) used to assemble the models (production variable); the average complexity of the models to be assembled (production variable); the ratio of the average perimeter of components (production variable) over a significant dimension of the working plane (system variable). Such parameters makes it possible to estimate the maximum attainable efficiency of the F‐FAS, and to calculate the optimal setting of the feeder which makes it possible to obtain such efficiency during the execution of the whole production order.Originality/value – The model presented in the paper makes it possible to quantify in advance the real potential of the F‐FAS, according to the characteristics of the production mix and type of components to be assembled. By using the methodologies presented in the paper, one can first evaluate the convenience of the F‐FAS approach with respect to traditional FAS technology and manual assembly, then identify the optimal design and settings of the F‐FAS, according to the needs of a specific application. As a result, not only can the investment on the automated assembly system be accurately evaluated in advance, but also the return on investment can be maximized. }
}
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booktitle={Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2014 IEEE International Conference on},
pages={70--75},
year={2014},
organization={IEEE}
}
@misc{lecun-mnisthandwrittendigit-2010,
added-at = {2010-06-28T21:16:30.000+0200},
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lastchecked = {2010-02-22 00:36:34},
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title = {{MNIST} handwritten digit database},
url = {http://yann.lecun.com/exdb/mnist/},
username = {mhwombat},
year = 2010
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@misc{transmission,
added-at = {2015-07-16},
author = {Cars},
title = {Chrysler Transmission Assembly Line},
url = {https://www.youtube.com/watch?v=447sSED91v0},
year = 2014
}
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journal={PHM Europe, 6th--8th July},
year={2012}
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@misc{lecun-mnisthandwrittendigit-2010,
added-at = {2010-06-28T21:16:30.000+0200},
author = {LeCun, Yann and Cortes, Corinna},
biburl = {http://www.bibsonomy.org/bibtex/25c6723dcce8057a5a41a5d7e12684930/mhwombat},
groups = {public},
interhash = {21b9d0558bd66279df9452562df6e6f3},
intrahash = {5c6723dcce8057a5a41a5d7e12684930},
keywords = {MSc _checked character_recognition mnist network neural},
lastchecked = {2010-02-22 00:36:34},
timestamp = {2012-04-25T14:48:25.000+0200},
title = {{MNIST} handwritten digit database},
url = {http://yann.lecun.com/exdb/mnist/},
username = {mhwombat},
year = 2010
}
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title={Artificial Neural Networks: Formal Models and Their Applications--ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings},
author={Duch, Wlodzislaw},
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publisher={Springer Science \& Business Media},
pages={378}
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author = {Angluin, Dana},
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acmid = {36889},
publisher = {Academic Press, Inc.},
address = {Duluth, MN, USA},
}
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@misc{transmission,
added-at = {2015-07-16},
author = {Cars},
title = {Chrysler Transmission Assembly Line},
url = {https://www.youtube.com/watch?v=447sSED91v0},
year = 2014
}
@misc{PHONOZATION,
added-at = {2016-01-24},
author = {Tero Keski-Valkama},
title = {A visualization animation of a simulated FAS event log with sound.},
url = {https://www.youtube.com/watch?v=9oVP05pi4QI}
year = 2016
}
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title={Fault diagnosis system for automated assembly line},
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organization={IEEE}
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volume={11},
number={1},
pages={1},
year={2016},
publisher={BioMed Central}
}
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title={Practical machinery vibration analysis and predictive maintenance},
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title={State-of-the-Art Predictive Maintenance Techniques*},
author={Hashemian, Hashem M and Bean, Wendell C},
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title={Modeling interleaved hidden processes},
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}
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title={Mining message sequence graphs},
author={Kumar, Sandeep and Khoo, Siau-Cheng and Roychoudhury, Abhik and Lo, David},
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pages={91--100},
year={2011},
organization={ACM}
}
@inproceedings{mining-program-workflow-from-interleaved-traces,
author = {Jian-Guang Lou, Qiang Fu, Shengqi Yang, Jiang Li, Bin Wu},
title = {Mining Program Workflow from Interleaved Traces},
booktitle = {SigKDD'10 (full paper)},
year = {2010},
month = {July},
abstract = {Successful software maintenance is becoming increasingly critical due to the increasing dependence of our society and economy on software systems. One key problem of software maintenance is the difficulty in understanding the evolving software systems. Program workflows can help system operators and administrators to understand system behaviors and verify system executions so as to greatly facilitate system maintenance. In this paper, we propose an algorithm to automatically discover program workflows from event traces that record system events during system execution. Different from existing workflow mining algorithms, our approach can construct concurrent workflows from traces of interleaved events. Our workflow mining approach is a three-step coarse-to-fine algorithm. At first, we mine temporal dependencies for each pair of events. Then, based on the mined pair-wise temporal dependencies, we construct a basic workflow model by a breadth-first path pruning algorithm. After that, we refine the workflow by verifying it with all training event traces. The refinement algorithm tries to find out a workflow that can interpret all event traces with minimal state transitions and threads. The results of both simulation data and real program data show that our algorithm is highly effective.},
publisher = {Association for Computing Machinery, Inc.},
url = {https://www.microsoft.com/en-us/research/publication/mining-program-workflow-from-interleaved-traces/},
address = {},
pages = {},
journal = {},
volume = {},
chapter = {},
isbn = {},
}
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title={Integration and learning in supervision of flexible assembly systems},
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