Results 31 to 40 of about 826,508 (206)
MODELING AND SIMULATION OF QUEUE WAITING THROUGH THE CONCEPT OF PETRI NETS [PDF]
Petri Nets-PN are a graphical formalism which is gaining popularity in recent years as a tool in Matlab for the representation of complex logical interactions among physical components or activities in a system.
EMILIJA KAMCEVA, FILIP TANCEV
doaj
Modeling dynamic scenarios for safety, reliability, availability, and maintainability analysis
Safety analysis uses probability combinatorial models like fault tree and/or event tree. Such methods have static basic events and do not consider complex scenarios of dynamic reliability, leading to conservative results.
Cesar Augusto Gabe +2 more
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Vulnerability Analysis of LTE-R Train-to-Ground Communication Time Synchronization
The time synchronization of LTE-R train-to-ground communication systems plays an important role in ensuring the safety of high-speed railways. In the LTE-R time synchronization process, existing problems, such as the time synchronization message ...
Yong Chen, Zhixian Zhan, Kaiyu Niu
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In this paper,by using queuing networks and stochastic Petri nets technique,window flow control mechanism in network layer of packet switching net can be described and analysed in detailed and then their SPN models are established,SPN reachability graph ...
Si Yujuan Lang Liuqi Zhou Li Dai Yisong
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Availability Analysis of Software Systems with Rejuvenation and Checkpointing
In software reliability engineering, software-rejuvenation and -checkpointing techniques are widely used for enhancing system reliability and strengthening data protection.
Junjun Zheng +2 more
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APPROXIMATE MAIN VALUE PERFORMANCE ANALYSIS ОF COMPUTING PROCESS USING SHPN WITH FUZZY PARAMETERS [PDF]
Stochastic fluid models are a class of analytic models that have recently drawn the attention of many researchers for the modeling and performance evaluation of complex computer systems and networks (CSN).
GUȚULEAC, Emilian +4 more
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A direction‐aware piezo‐transmittance strain sensor is realized through the engineered alignment of carbon nanotubes. This anisotropic architecture instantaneously modulates optical transmittance, achieving ultra‐high sensitivity and exceptionally low hysteresis. By effectively eliminating signal crosstalk to precisely decouple multidirectional strains,
Byeongmin Kang +15 more
wiley +1 more source
Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch +7 more
wiley +1 more source
Computational Modeling for the Activation Cycle of G-proteins by G-protein-coupled Receptors [PDF]
In this paper, we survey five different computational modeling methods. For comparison, we use the activation cycle of G-proteins that regulate cellular signaling events downstream of G-protein-coupled receptors (GPCRs) as a driving example.
Yifei Bao +3 more
doaj +1 more source
Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve +7 more
wiley +1 more source

