25,144 Hits in 12.9 sec

Statistical Perspectives on Reliability of Artificial Intelligence Systems [article]

Yili Hong and Jiayi Lian and Li Xu and Jie Min and Yueyao Wang and Laura J. Freeman and Xinwei Deng
2021 arXiv   pre-print
We introduce a so-called SMART statistical framework for AI reliability research, which includes five components: Structure of the system, Metrics of reliability, Analysis of failure causes, Reliability  ...  We also describe recent developments in modeling and analysis of AI reliability and outline statistical research challenges in this area, including out-of-distribution detection, the effect of the training  ...  Acknowledgments The authors acknowledge the Advanced Research Computing program at Virginia Tech and Virginia's Commonwealth Cyber Initiative (CCI) AI testbed for providing computational resources.  ... 
arXiv:2111.05391v1 fatcat:6qnyeuvhn5dktpiy27ufhq6lqa

The Powerful Use of AI in the Energy Sector: Intelligent Forecasting [article]

Erik Blasch, Haoran Li, Zhihao Ma, Yang Weng
2021 arXiv   pre-print
For event forecasting, the supervised learning model fuses the results of different models to increase the confidence.  ...  AI algorithms to forecast the need, (3) developing robust and accountable AI methods, and (4) creating reliable measures to evaluate the performance of the AI model.  ...  Acknowledgments The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or  ... 
arXiv:2111.02026v1 fatcat:c6vcwtv7wzgyzisbdt77oa3qsy

Reliability: The Other Dimension of Quality

William Q. Meeker, Luis A. Escoba
2004 Quality Technology & Quantitative Management  
During the past twenty years, manufacturing industries, particularly in the United States, have gone through a revolution in the use of statistical methods for product quality.  ...  Tools for process monitoring and, particularly experimental design, are much more commonly used today to maintain and improve product quality.  ...  Hahn and Angela Jianying Zuo for helpful comments on an earlier version of this paper.  ... 
doi:10.1080/16843703.2004.11673062 fatcat:zav73tpud5g7vpctm4527ou4lu

Application of a Deep Learning Technique to the Development of a Fast Accident Scenario Identifier

Hyeonmin Kim, Jaehyun Cho, Jinkyun Park
2020 IEEE Access  
Results of the uncertainty analysis for PCT, 1.2 inch SLOCA.  ...  Results of the uncertainty analysis for secondary pressure, 1.8 inch SLOCA. FIGURE 17. Results of the uncertainty analysis for secondary temperature, 1.6 inch SLOCA. FIGURE 18.  ... 
doi:10.1109/access.2020.3026104 fatcat:q7hbzj7pvzfgdor64orqpeea2y

Soft reliability: an interdisciplinary approach with a user-system focus

A. Koca, M. Funk, E. Karapanos, A. Rozinat, W. M. P. van der Aalst, H. Corporaal, J. B. O. S. Martens, P. H. A. van der Putten, A. J. M. M. Weijters, A. C. Brombacher
2009 Quality and Reliability Engineering International  
One important consequence of the development of strongly innovative products is a growing market uncertainty regarding 'if', 'how', and 'when' users can and will adopt such products.  ...  Furthermore, we present a novel observation and analysis approach that enables insight into actual product usage, and outline opportunities for combining such objective data with the subjective feedback  ...  Ministry of Economic Affairs, under the IOP-IPCR program.  ... 
doi:10.1002/qre.937 fatcat:iatsbtempzgebijp3mftky2aoe

Importance identification for fault trees based on possibilistic information measurements

Li-Ping He, Hong-Zhong Huang, Yu Pang, Yanfeng Li, Yu Liu
2013 Journal of Intelligent & Fuzzy Systems  
An example of the fault tree is provided along with the concordance analysis and other discussions.  ...  After investigating the intuitive interpretations, possibilistic information semantics, measure-theoretic terms and entropy-like models, a new axiomatic index of importance measure for fault trees is proposed  ...  Natural Science Foundation of China under the contract numbers 51075061.  ... 
doi:10.3233/ifs-120705 fatcat:r6nc7jpglbhwverrjgtmohaeru

DASON: Dependability Assessment Framework for Imperfect Distributed SDN Implementations

Petra Vizarreta, Kishor Trivedi, Veena Mendiratta, Wolfgang Kellerer, Carmen Mas Machuca
2020 IEEE Transactions on Network and Service Management  
We identify system vulnerabilities, localize dependability bottlenecks, and provide stochastic models for a holistic assessment of system dependability.  ...  In this paper we study the prevalence of issues in state-of-the-art distributed frameworks in SDN, by analyzing 500+ + + issues reported in two of the largest open source SDN controller platforms: Open  ...  ACKNOWLEDGMENT The authors would like to thank L. Jagadeesan from Nokia Bell Labs, whose thorough review and feedback greatly improved the quality of this manuscript.  ... 
doi:10.1109/tnsm.2020.2973925 fatcat:fayclxpoanbonkb3nz5jngy2qi


1997 Hydrological Processes  
g for the event.  ...  is obtained by maximizing the log-likelihood function for the model f(x, 6) with respect to the parameters 6.  ... 
doi:10.1002/(sici)1099-1085(199705)11:6<587::aid-hyp479>;2-p fatcat:qdi2ntc4gffvphkvwei47r76ri

Exploring How Changing Monsoonal Dynamics and Human Pressures Challenge Multireservoir Management for Flood Protection, Hydropower Production, and Agricultural Water Supply

J. D. Quinn, P. M. Reed, M. Giuliani, A. Castelletti, J. W. Oyler, R. E. Nicholas
2018 Water Resources Research  
We illustrate this analysis on the Red River basin in Vietnam, where reservoirs and dams serve as important sources of hydropower production, multisectoral water supply, and flood protection for the capital  ...  This study contributes an innovative method for exploring how possible changes in the timing and magnitude of the monsoonal cycle impact the robustness of reservoir operating policies designed assuming  ...  Acknowledgments The authors would like to thank Jery Stedinger, Todd Walter, and three anonymous reviewers for helpful suggestions and comments on an earlier draft of this manuscript.  ... 
doi:10.1029/2018wr022743 fatcat:favrkjozyvebzkj2otyrw5qg2a

β Algorithm: A New Probabilistic Process Learning Approach For Big Data In Healthcare

Maha Zayoud, Yehia Kotb, Sorin Ionescu.
2019 IEEE Access  
This feature is very essential for those applications that integrate and interact with bigdata since for bigdata, starting the learning process from the beginning for every new set of data is not feasible  ...  This paper targets a methodology of learning processes given data and the learning algorithm finds out the logical operators that bind the events described in data and model it using predicate logic.  ...  The proposed framework succeeds in discovering the model of the current process, and it highlights the weaknesses of that model by discovering the bottleneck in any process, for example.  ... 
doi:10.1109/access.2019.2922635 fatcat:pngqg2srxzhjjgljpyfwtdghfm

A Small-Scale Testbed for Large-Scale Reliable Computing

Jason St. John, Thomas J. Hacker
2017 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)  
A small-scale testbed for large-scale reliable computing" (2016). Open Access Theses. 899.  ...  West Lafayette, Indiana ii ACKNOWLEDGMENTS I wish to gratefully acknowledge my thesis committee, my family, and my fellow graduate students for their help and support, encouragement, and insight.  ...  System Log Analysis The system logs were manually examined to determine the key phrases within the logs related to failure events of memory and hard disks.  ... 
doi:10.1109/ipdpsw.2017.35 dblp:conf/ipps/JohnH17 fatcat:fdyyxdpx3va6hfa4rb7qjbkfuu

Eliciting and utilising knowledge for security event log analysis: An association rule mining and automated planning approach

Saad Khan, Simon Parkinson
2018 Expert systems with applications  
However, identifying and utilising knowledge within the event logs is challenging for the non-expert.  ...  The technique converts event log entries into an object-based model and dynamically extracts associative rules.  ...  Problem instances are automatically constructed, given a domain action model and event log entries of a machine that is under consideration.  ... 
doi:10.1016/j.eswa.2018.07.006 fatcat:penldwqmw5gqjdbpw7mxv57kbq

A proportional hazards model for interval-censored data subject to instantaneous failures [article]

Prabhashi W. Withana Gamage, Monica Chaudari, Christopher S. McMahan, Michael R. Kosorok
2018 arXiv   pre-print
Further exacerbating this issue, in some such studies the observed data also consists of instantaneous failures; i.e., the event times for several study units coincide exactly with the time at which the  ...  In light of these difficulties, this work focuses on developing a mixture model, under the PH assumptions, which can be used to analyze interval-censored data subject to instantaneous failures.  ...  For these reasons, herein a general methodology under the PH model is developed for the analysis of interval-censored data subject to instantaneous failures.  ... 
arXiv:1804.00096v2 fatcat:o67fz2do5fextlv37a2zfs2s4a

A Survey on Automated Log Analysis for Reliability Engineering [article]

Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
2021 arXiv   pre-print
event templates, and how to employ logs to detect anomalies, predict failures, and facilitate diagnosis.  ...  This survey presents a detailed overview of automated log analysis research, including how to automate and assist the writing of logging statements, how to compress logs, how to parse logs into structured  ...  Current automated log analysis research facilitates the failure diagnosis process by providing insightful decisions and clues for root cause analysis.  ... 
arXiv:2009.07237v2 fatcat:thbtfboglnglld5rr6s2gqhizi

Practical Aspects in Analyzing and Sharing the Results of Experimental Evaluation

Francesco Brancati, Andrea Bondavalli
2010 2010 29th IEEE Symposium on Reliable Distributed Systems  
Dependability evaluation techniques such as the ones based on testing, or on the analysis of field data on computer faults, are a fundamental process in assessing complex and critical systems.  ...  This paper reports the work in progress activities of the entire process of collecting, storing and analyzing the experimental data in order to perform a sound experimental evaluation.  ...  During experimental evaluation, measurement results (the data) are collected and allow to discover insight on the system under test (SUT).  ... 
doi:10.1109/srds.2010.46 dblp:conf/srds/BrancatiB10 fatcat:vjgowmkro5c4pb76hydrenduuu
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