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This book constitutes the proceedings of the 14th International Conference on Verification and Evaluation of Computer and Communication Systems, VECoS 2020, which was supposed to be held in Xi'an, China, in October 2020, but was held virtually instead.
The 19 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 60 submissions. The aim of the VECoS conference is to bring together researchers and practitioners in the areas of verification, control, performance, and dependability evaluation in order to discuss state of the art and challenges in modern computer and communication systems in which functional and extra-functional properties are strongly interrelated. Thus, the main motivation for VECoS is to encourage the cross-fertilization between various formal verification and evaluation approaches, methods and techniques, and especially those developed for concurrent and distributed hardware/software systems. The papers are organized in the following topical sections: petri-net, simulation, and scheduling; formal modeling and verification, testing; and artificial intelligence and machine learning.
List of contents
Petri-Net, Simulation, and Scheduling.- An Approach for Supervisor Reduction of Discrete-event Systems.- Multi-robot path planning using Petri nets.- Deadlock Avoidance of Flexible Manufacturing Systems by Colored Resource-Oriented Petri Nets With Novel Colored Capacity.- The Modeling and Simulation on SRM Drive System Using Variable-proportional-desaturation PI Regulator.- Vehicle Scheduling Problem in Terminals: a Review.- Coverage Analysis of Net Inscriptions in Coloured Petri Net Models.- ON/OFF control trajectory computation for steady state reaching in batches Petri nets.- Towards efficient partial order techniques for time Petri nets.- Towards a Generic Framework for Formal Verification and Performance Analysis of Real-time Scheduling Algorithms.- Accurate Strategy for Mixed Criticality Scheduling.- Formal Modeling and Verification, Testing.- Model-based Design of Resilient Systems Using Quantitative Risk Assessment.- An Evaluation of Estimation Techniques for Probabilistic Verification.- Formal Verification of a Certified Policy Language.- Multi-path Coverage of all Final States for Model-Based Testing Theory using Spark In-memory Design.- Artificial Intelligence and Machine Learning.- A C-IFGSM Based Adversarial Approach for Deep Learning Based Intrusion Detection.- Deep Reinforcement Learning for Solving AGVs Routing Problem.- Research on Vehicle Detection based on Visual Convolution Network Optimization.- A Self-Adaptive Multi-Hierarchical Modular Neural Network for Complex Problems.- Multi-Scale Risk Assessment Model of Network Security Based on LSTM.- Weighted lightweight image retrieval method based on linear regression.
