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Continuous-Time Bayesian Networks with Clocks
[article]
2020
arXiv
pre-print
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One of the more popular of such memoryless models are Continuous Time Bayesian Networks (CTBNs). In this work, we lift its restriction to exponential survival times to arbitrary distributions. ...
Structured stochastic processes evolving in continuous time present a widely adopted framework to model phenomena occurring in nature and engineering. ...
An expressive, but Markovian model in continuous time are Continuous Time Bayesian Networks (CTBNs) (Nodelman et al., 1995) . ...
arXiv:2007.00347v2
fatcat:o4e3iktwmza7xdr65rlgvkpfwy
Continuous-Time Bayesian Networks with Clocks
2020
Zenodo
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One of the more popular of such memoryless models are Continuous Time Bayesian Networks (CTBNs). In this work, we lift its restriction to exponential survival times to arbitrary distributions. ...
Structured stochastic processes evolving in continuous time present a widely adopted framework to model phenomena occurring in nature and engineering. ...
An expressive, but Markovian model in continuous time are Continuous Time Bayesian Networks (CTBNs) (Nodelman et al., 1995) . ...
doi:10.5281/zenodo.3957198
fatcat:fkn6qt6klffd7coxyszf4a7vqm
Continuous Time Bayesian Networks with Clocks
2022
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One of the more popular of such memoryless models are Continuous Time Bayesian Networks (CTBNs). In this work, we lift its restriction to exponential survival times to arbitrary distributions. ...
Structured stochastic processes evolving in continuous time present a widely adopted framework to model phenomena occurring in nature and engineering. ...
An expressive, but Markovian model in continuous time are Continuous Time Bayesian Networks (CTBNs) (Nodelman et al., 1995) . ...
doi:10.26083/tuprints-00021516
fatcat:v6lmjonkznd6xc2s2rtwh6y6qa
Runtime Analysis with R2U2: A Tool Exhibition Report
[chapter]
2016
Lecture Notes in Computer Science
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R2U2 models combine past-time and future-time Metric Temporal Logic, "mission time" Linear Temporal Logic, probabilistic reasoning with Bayesian Networks, and model-based prognostics. ...
R2U2 models combine past-time and future-time Metric Temporal Logic, "mission time" Linear Temporal Logic, probabilistic reasoning with Bayesian Networks, and model-based prognostics. ...
The modeling framework uses a synergistic combination of past-and future-time MTL, mission-time LTL, Bayesian Networks, and prognostics models. ...
doi:10.1007/978-3-319-46982-9_35
fatcat:st7uhuij7bf4rlypmsckt7j7xm
Clock Synchronization in Wireless Sensor Networks Based on Bayesian Estimation
2020
IEEE Access
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The key idea of BETS is to calibrate the prior information of synchronization error with a small amount of field sampling time information, which will eliminate the impact of environment on clock synchronization ...
INDEX TERMS Clock synchronization, wireless sensor networks (WSNs), Bayesian estimation, synchronization error. VOLUME 8, 2020 This work is licensed under a Creative Commons Attribution 4.0 License. ...
By calculating with time message, the clock deviation between network nodes could be estimated and adjusted. ...
doi:10.1109/access.2020.2984785
fatcat:dcz7krk3e5gchlg5aaecdtq43a
Hardware Design for Autonomous Bayesian Networks
[article]
2020
arXiv
pre-print
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In this article, we first use SPICE simulations to show that an autonomous hardware Bayesian network can operate correctly without any clocks or sequencers, but only if the individual p-bits are appropriately ...
Our results could be useful in the design of hardware accelerators that use energy efficient building blocks suited for low-level implementations of Bayesian networks. ...
Therefore LBM with continuous range fluctuation is expected for design 1 p-bit to work properly as a Bayesian network.
IV. ...
arXiv:2003.01767v2
fatcat:t4zwx66obngdbhrpj73iodkwum
Research Overview of Clock Synchronization in Wireless Sensor Network
2018
Journal of Computer Science Applications and Information Technology
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Clock synchronization is the key technology of Wireless Sensor Networks, since inaccurate clocks have a significant impact on network accuracy and security. ...
Including: the improved method of least squares ,delay measurement time synchronization, sensor network timing synchronization ,tiny synchronization, lightweight tree synchronization. ...
In multi-hop networks, synchronization errors are greater, and the TPSN method combined with Bayesian estimation can reduce Transfer delays in message exchanges improve time synchronization accuracy. ...
doi:10.15226/2474-9257/3/1/00128
fatcat:atjy4zs6qvgtjai3octbbx2ytq
Reliability Analysis of the Railway Time Synchronization Network Based on Bayesian
2015
International Journal of Control and Automation
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The railway time synchronization network (RTSN), the medium carrying and broadcasting time information, is responsible to convey the information of internal clock of railway and its function poses direct ...
With the high speed railway speed increasing and driving distance shortening in China, the time conformity of subsystems of railway is becoming more significant to railway traffic safety. ...
Reliability Analysis Process
Bayesian Network BN network approach can be divided into Bayesian learning and Bayesian reasoning. ...
doi:10.14257/ijca.2015.8.10.06
fatcat:nnp56heg7rgf3dewztb24qal2e
Research on Time Synchronization Method under Arbitrary Network Delay in Wireless Sensor Networks
2019
Computers Materials & Continua
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To cope with the arbitrariness of the network delays, a novel method, referred to as the composite particle filter approach based on variational Bayesian (VB-CPF), is proposed herein to estimate the clock ...
Moreover, RTS shows good robustness to the continuous and random dropout of time messages. ...
by the exchange of time stamps, which can be regarded as discrete samples of continuous time. ...
doi:10.32604/cmc.2019.06414
fatcat:s6de6kd5mved7inwidzaxu3njq
From gene expression to gene regulatory networks in Arabidopsis thaliana
2009
BMC Systems Biology
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A number of networks are inferred and analysed; these show (i) an agreement with the current literature on the circadian clock network, (ii) the ability to model other networks, and (iii) that the learned ...
Results: A novel Bayesian network-based algorithm to infer gene regulatory networks from gene expression data is introduced and applied to learn parts of the transcriptomic network in Arabidopsis thaliana ...
We also thank Intel and those who have contributed to the Probabilistic Network Library (an open source C++ project for Bayesian networks and other probabilistic graphical models https://sourceforge.net ...
doi:10.1186/1752-0509-3-85
pmid:19728870
pmcid:PMC2760521
fatcat:mxgwderz6nh5nokqleidq6qxde
A Hybrid Bayesian Approach Towards Clock Offset and Skew Estimation in 5G Networks
[article]
2020
arXiv
pre-print
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In this work, we propose a hybrid Bayesian approach towards clock offset and skew estimation, thereby synchronizing large scale networks. ...
In particular, we demonstrate the advantage of Bayesian Recursive Filtering (BRF) in alleviating time-stamping errors for pairwise synchronization. ...
CONCLUSIONS AND FUTURE WORK We considered two Bayesian algorithms to estimate the clock offset and skew in communication networks. ...
arXiv:2004.09469v1
fatcat:4p6v4tvuf5dhjc2rmbjkeudaae
How to infer gene networks from expression profiles, revisited
2011
Interface Focus
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To address the challenges associated with this inference, a number of competing approaches have previously been used, including examples from information theory, Bayesian and dynamic Bayesian networks ...
For smaller systems, DBNs are competitive with the non-parametric approaches with respect to computational time and accuracy, and both of these approaches appear to be more accurate than Granger causality-based ...
Derivative estimation for continuous time systems. ...
doi:10.1098/rsfs.2011.0053
pmid:23226586
pmcid:PMC3262295
fatcat:glhjailtdngwzmi3zcnb4keo5y
Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana
[chapter]
2009
Lecture Notes in Computer Science
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It is shown that it is possible, to some extent, to model these time delays using a higher-order dynamic Bayesian network. ...
In this paper, the circadian clock of Arabidopsis thaliana is modelled by fitting dynamic Bayesian networks to luminescence data gathered from experiments. ...
John O'Neill helped develop the reference model of the circadian clock. The experimental work was funded by BBSRC awards 88/G19886 and BB/E015263/1 and by the EU FP6 award EUClock to AJM. ...
doi:10.1007/978-3-642-04031-3_7
fatcat:omj7xunjyffmvlpt76nixwt7qe
Distributed Clock Parameters Tracking in Wireless Sensor Network
2013
IEEE Transactions on Wireless Communications
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Clock parameters (skew and offset) in sensor network are inherently time-varying due to imperfect oscillator circuits. This paper develops a distributed Kalman filter for clock parameters tracking. ...
Index Terms-Distributed clock synchronization, wireless sensor networks (WSNs), distributed Kalman filter, Bayesian Cramer-Rao lower bound. Bin Luo received the B.Eng. degree from the ...
It can be seen that the Bayesian CRLB for network with 25 nodes would be lower than that of 23 nodes on average, since more timing information is present in the network with 25 nodes. ...
doi:10.1109/twc.2013.103013.130811
fatcat:qzrzuliru5cangmdpnqiiabpxa
A Bayesian Approach for Disconnection Management in Mobile Ad Hoc Networks
2007
16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2007)
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connected, or local ones to let the disconnecting device to go on for some time with its own work). ...
In this paper we present a bayesian approach to predict disconnections in MANETs, and validating experimental results that shows the viability of the approach. ...
Our scenario is different: MANETs can be arranged in several network topologies that change over time together with multihop path among mobile devices. ...
doi:10.1109/wetice.2007.4407127
fatcat:tijthmkuzff4xezpkmjudgsleq
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