Filters








20,985 Hits in 5.0 sec

A distributed fuzzy logic-based root selection algorithm for wireless sensor networks

Aysegul Alaybeyoglu
2015 Computers & electrical engineering  
The proposed system also includes fault tolerance, load balance, timeliness and the scalability mechanisms.  ...  In this study, a distributed fuzzy logic (DFL) method with five input parameters namely, energy, centrality, distance to base station, number of hops and node density is proposed for efficient root election  ...  In the proposed system, to inference which node should be selected as the root node, we used distributed fuzzy logic inference system.  ... 
doi:10.1016/j.compeleceng.2014.09.001 fatcat:oxipykwkf5cp7g225mbkwb3kpy

Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning [article]

Mohamed Baioumy, William Hartemink, Riccardo M.G. Ferrari, Nick Hawes
2022 arXiv   pre-print
In this work we investigate posing fault-tolerant control as a single Bayesian inference problem.  ...  Model-based fault-tolerant control (FTC) often consists of two distinct steps: fault detection & isolation (FDI), and fault accommodation.  ...  DISCUSSION AND CONCLUSION This paper compares a set of fault-tolerant controllers based on Bayesian inference and on a novel approach: precision learning.  ... 
arXiv:2204.08035v1 fatcat:fiwhb37t35codmqbfawondflpe

2021 Index IEEE Transactions on Fuzzy Systems Vol. 29

2021 IEEE transactions on fuzzy systems  
., +, TFUZZ Feb. 2021 345-356 Fuzzy-Approximation-Based Distributed Fault-Tolerant Consensus for Heterogeneous Switched Nonlinear Multiagent Systems.  ...  ., +, TFUZZ Feb. 2021 345-356 Fuzzy-Approximation-Based Distributed Fault-Tolerant Consensus for Heterogeneous Switched Nonlinear Multiagent Systems.  ... 
doi:10.1109/tfuzz.2021.3134727 fatcat:m66dl6wxdbgendhdx4bliy6nky

Agent-based Fault Detection Mechanism in Wireless Sensor Networks

Elhadi Shakshuki, Xinyu Xing, Haiyi Zhang
2007 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07)  
Towards this end, we propose an agent-based system architecture with fault-detection inference engine based on reverse multicast tree to evaluate sensor nodes' fault probabilities.  ...  But, micro-sensors are subject to high-frequency faults in distributed environments.  ...  Agent System Architecture Agent-based distributed system consists of two types of agents based on their functionalities, including stationary and dynamical agents.  ... 
doi:10.1109/iat.2007.39 dblp:conf/iat/ShakshukiXZ07 fatcat:u4fyhr2szzbnxpohvmfkwlptke

2020 Index IEEE Transactions on Fuzzy Systems Vol. 28

2020 IEEE transactions on fuzzy systems  
., +, TFUZZ Feb. 2020 321-332 Lower Triangle Factor-Based Fault Estimation and Fault Tolerant Control for Fuzzy Systems.  ...  ., +, TFUZZ Jan. 2020 134-147 Lower Triangle Factor-Based Fault Estimation and Fault Tolerant Control for Fuzzy Systems.  ...  A Generalized p-Norm Knowledge-Based Score Function for an Interval-Valued Intuitionistic Fuzzy Set in Decision Making. Nguyen, H.,  ... 
doi:10.1109/tfuzz.2020.3048828 fatcat:vml5fun6szcqbhpceebk3xfg2u

Error Adaptive Classifier Boosting (EACB): Leveraging Data-Driven Training Towards Hardware Resilience for Signal Inference

Zhuo Wang, Robert E. Schapire, Naveen Verma
2015 IEEE Transactions on Circuits and Systems Part 1: Regular Papers  
Machine-learning algorithms play an important role by enabling the construction of data-driven models for inference over data that is too complex to model analytically.  ...  FPGA emulation with randomized fault injections shows that the proposed architecture restores system performance to the level of a fault free system, with 1% of the hardware requiring explicit fault protection  ...  A system for EEG-based seizure detection is presented, implemented via an FPGA to enable controllable injection of faults.  ... 
doi:10.1109/tcsi.2015.2395591 fatcat:47t2dzcipvcmpj6srftyomjjne

Modern Framework for Distributed Healthcare Data Analytics Based on Hadoop [chapter]

P. Vignesh Raja, E. Sivasankar
2014 Lecture Notes in Computer Science  
They capture multi variant types of data, process and store them in a RDBMS. Inferring knowledge from such systems is tedious.  ...  Proposed framework is based on Apache Hadoop platform which is open source and its implementation is distributed in nature as it is deployable at various healthcare centers in different geographic locations  ...  Further such RDBMS are prone to mid query faults, whereas the proposed Hadoop based framework offers mid query fault tolerance.  ... 
doi:10.1007/978-3-642-55032-4_34 fatcat:ez7vbzb735eb5nqcqrpnxnyf2u

Exploring Parallel MPI Fault Tolerance Mechanisms for Phylogenetic Inference with RAxML-NG

Lukas Hübner, Alexey M Kozlov, Demian Hespe, Peter Sanders, Alexandros Stamatakis, Russell Schwartz
2021 Bioinformatics  
Thus, the parallel fault tolerance of phylogenetic inference tools has become a relevant challenge.  ...  To this end, we explore parallel fault tolerance mechanisms and algorithms, the software modifications required, and the performance penalties induced via enabling parallel fault tolerance by example of  ...  Finally, we are not aware of related work on assessing or implementing fault tolerance mechanisms in any other likelihood-based (i.e. maximum likelihood (ML) or Bayesian inference) phylogenetic tree inference  ... 
doi:10.1093/bioinformatics/btab399 pmid:34037680 fatcat:brvhnjke7ngofef232b753v3um

Fault Tolerance of Neural Networks in Adversarial Settings [article]

Vasisht Duddu, N. Rajesh Pillai, D. Vijay Rao, Valentina E. Balas
2019 arXiv   pre-print
Artificial Intelligence systems require a through assessment of different pillars of trust, namely, fairness, interpretability, data and model privacy, reliability (safety) and robustness against against  ...  While training models with noise to inputs, gradients or weights enhances fault tolerance, it is observed that adversarial robustness and fault tolerance are at odds with each other.  ...  Membership inference attacks are used to infer whether a given data point was used in the training data or not based on the difference in model predictions on training data and testing data (Shokri et  ... 
arXiv:1910.13875v1 fatcat:vk6fxfb2rrdapamwsehbzt2bku

Table of contents

2021 IEEE Transactions on Cybernetics  
789 Performance-Based Fault Detection and Fault-Tolerant Control for Nonlinear Systems With T-S Fuzzy Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Wu, and T.Huang 927 Barrier Lyapunov Function-Based Adaptive Fault-Tolerant Control for a Class of Strict-Feedback Stochastic Nonlinear Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tcyb.2021.3049976 fatcat:7dkbojkbazh2nmjvwwtrsmavxm

2021 Index IEEE Transactions on Parallel and Distributed Systems Vol. 32

2022 IEEE Transactions on Parallel and Distributed Systems  
., TPDS Sept. 2021 2248-2261 Fault tolerant computing A Fault-Tolerant Distributed Framework for Asynchronous Iterative Com- putations.  ...  ., +, TPDS Feb. 2021 315-329 Fault tolerant systems Structured Allocation-Based Consistent Hashing With Improved Balancing for Cloud Infrastructure.  ... 
doi:10.1109/tpds.2021.3107121 fatcat:e7bh2xssazdrjcpgn64mqh4hb4

Exploring Parallel MPI Fault Tolerance Mechanisms for Phylogenetic Inference with RAxML-NG [article]

Lukas Hübner, Alexey M Kozlov, Demian Hespe, Peter Sanders, Alexandros Stamatakis
2021 bioRxiv   pre-print
To this end, we explore parallel fault tolerance mechanisms and algorithms, the software modifications required, and the performance penalties induced via enabling parallel fault tolerance by example of  ...  Thus, the parallel fault tolerance of phylogenetic inference tools has become a relevant challenge.  ...  Algorithm-based fault tolerance: a review.  ... 
doi:10.1101/2021.01.15.426773 fatcat:bawsencvhrem3dw5oipadb4gju

Vulnerabilities and Threats in Distributed Systems [chapter]

Bharat Bhargava, Leszek Lilien
2004 Lecture Notes in Computer Science  
They are: using fault tolerance and reliability principles for security, enhancing role-based access control with trust ratings, protecting privacy during data dissemination and collaboration, and applying  ...  We discuss research issues and models for vulnerabilities and threats in distributed computing systems. We present four diverse approaches to reducing system vulnerabilities and threats.  ...  Anjali Bhargava (fault tolerance and security) and Ms. Yuhui Zhong (trust in RBAC and fraud). Research is supported in part by NSF grants IIS-0209059 and IIS-0242840.  ... 
doi:10.1007/978-3-540-30555-2_18 fatcat:met2stnolncfdghzl54men6ste

Using Probabilistic Characterization to Reduce Runtime Faults in HPC Systems

Jim Brandt, Bert Debusschere, Ann Gentile, Jackson Mayo, Philippe P, David Thompson, Matthew Wong
2008 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID)  
In this paper we present a system that uses hardware level monitoring coupled with statistical analysis and modeling to select processing system elements based on where they lie in the statistical distribution  ...  processing and interconnection elements in order to achieve desired levels of computational power, This, however, also comes with a decrease in the Mean Time To Interrupt because the elements comprising these systems  ...  effort into building fault tolerant systems.  ... 
doi:10.1109/ccgrid.2008.124 dblp:conf/ccgrid/BrandtDGMPTW08 fatcat:ynbxg2fjcrbrbcjhialfjxuk4q

2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50

2020 IEEE Transactions on Systems, Man & Cybernetics. Systems  
., +, TSMC Feb. 2020 468-479 Inference mechanisms A Belief Rule-Based Expert System for Fault Diagnosis of Marine Diesel Engines.  ...  ., +, TSMC Nov. 2020 4270-4282 Fault tolerant systems Guest Editorial Special Issue on Fault Diagnosis and Adaptive Fault-Toler-ant Control for Automatic Control Systems.  ... 
doi:10.1109/tsmc.2021.3054492 fatcat:zartzom6xvdpbbnkcw7xnsbeqy
« Previous Showing results 1 — 15 out of 20,985 results