The proceedings contain 25 papers. The special focus in this conference is on Leveraging Applications of Formal Methods, Verification and Validation. The topics include: Klaim in the Making;formal Approaches...
ISBN:
(纸本)9783031753794
The proceedings contain 25 papers. The special focus in this conference is on Leveraging Applications of Formal Methods, Verification and Validation. The topics include: Klaim in the Making;formal Approaches for Modeling and Analysis of Business Process Collaborations;an Abstract Account of Up-to Techniques for Inductive Behavioural Relations;language Equivalence from Nondeterministic to Weighted Automata—and Back;a Process Algebraic View of In/Out Prisoners;towards a Formal Testing Theory for Quantum Processes;testing Quantum Processes;the ProbInG Project: Advancing Automatic Analysis of Probabilistic Loops;towards a Probabilistic programming Approach to Analyse Collective Adaptive systems;Can AI Help with the Formalization of Railway Cybersecurity Requirements?;white-Box Validation of Collective Adaptive systems by Statistical Model Checking and Process Mining;analysing Collective Adaptive systems by Proving Theorems;engineering Ethical-Aware Collective Adaptive systems;emerging Synchrony in Applauding Audiences: Formal Analysis and Specification;flocks of Birds: A Quantitative Evaluation;strategies in Spatio-Temporal Logics for Multi-agent systems;function-as-a-Service Allocation Policies Made Formal;asynchronous Multiparty Sessions with Internal Delegation: Dedicated to Rocco De Nicola on the Occasion of his 70th Birthday;code-Centric Code Generation;attack Tree Generation via Process Mining;local Spaces in Soft Concurrent Constraint programming Oriented to Security;Riding the Data Storms: Specifying and Analysing IoT Security Requirements with SURFING;preventing Out-of-Gas Exceptions by Typing.
We investigate the use of ChatGPT for solving fundamental programming tasks in C/C++ languages and put it on a freshman programming test. The obtained source code was graded rather benevolently, in a way we would grad...
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While meeting the needs of network traffic, dynamic deployment of VNF is the key to cost optimization of NFV system. In addition to considering server resource capacity and dynamic user traffic, the dynamic expansion ...
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Agile manufacturing paradigms have revolutionized a new era of production processes, offering unparalleled flexibility and adaptability to the ever-changing landscape of product variations and smaller batch sizes. In ...
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ISBN:
(纸本)9798350362367;9798350362374
Agile manufacturing paradigms have revolutionized a new era of production processes, offering unparalleled flexibility and adaptability to the ever-changing landscape of product variations and smaller batch sizes. In response to this dynamic environment, the robotic industry has undergone a significant transformation, presenting a range of versatile robotic systems capable of swiftly deploying diverse applications. This transformative shift accelerates manufacturing processes and showcases the ability to accommodate product specifications and batch size variations. Welding is a notable example of robotics playing a crucial role in agile production. This work presents a novel approach combining no-code robot programming and an intelligent vision-based welding system. By leveraging this framework, even non-expert users can seamlessly instruct welding trajectories through intuitive interactions. These trajectories are meticulously crafted using advanced welding seam extraction algorithms, considering various welding joint types and inputs from heterogeneous sensors. Consequently, robot-specific parameters can be parametrized, and the generated robot code can seamlessly translate into robotic movements in the real world. Validation of this approach through real-world experiments underscores its potential for deployment in agile welding applications. The promising results affirm this novel methodology's efficacy, paving the way for its practical implementation in real-world scenarios. By effectively bridging the divide between advanced robotics and agile manufacturing, this approach can potentially elevate industrial robotic applications to new levels of efficiency and adaptability.
Train in the virtually coupling train group operates at the same speed and a small interval, and is prone to be disturbed by adjacent trains and generate control fluctuations, which also brings greater pressure to com...
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On microcontrollers, timer devices provide high-precision timing, but that precision is lost when using high-level languages without suitable abstractions for temporal behavior. So, for timing-sensitive applications, ...
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ISBN:
(纸本)9798400703188
On microcontrollers, timer devices provide high-precision timing, but that precision is lost when using high-level languages without suitable abstractions for temporal behavior. So, for timing-sensitive applications, programmers resort to low-level languages like C which lack expressiveness and safety guarantees. Other programmers use specialized precision-timing hardware which is expensive and difficult to obtain. In this work, we achieve sub-microsecond precision from a high-level real-time programming language on the RP2040, a cheap, widely available microcontroller. Our work takes advantage of the RP2040's Programmable I/O (PIO) devices, which are cycle-accurate coprocessors designed for implementing hardware protocols over the RP2040's GPIO pins. We use the PIO devices to implement timestamp peripherals, which are input capture and output compare devices. We use timestamp peripherals to mediate I/O from programs written in Sslang, a real-time programming language with deterministic concurrency. We show that timestamp peripherals help Sslang programs achieve the precise timing behavior prescribed by Sslang's Sparse Synchronous programming model.
This paper supports the importance of teaching logic (and logic programming) in computer science degrees and discusses several proposals that can be included in current curricula without the need to adapt the academic...
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Fast paced industry requirements call for fast and easy robot programming, especially for Small and Medium sized Enterprises (SME) that often lack robot programming experience. Even with the advancement of graphical a...
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ISBN:
(纸本)9798350311921
Fast paced industry requirements call for fast and easy robot programming, especially for Small and Medium sized Enterprises (SME) that often lack robot programming experience. Even with the advancement of graphical activity representation languages such as Behaviour Trees (BTs), it can still be time consuming to program robots for new behaviors due to the shifting product specifications and the dynamic production environments. This paper presents an extension of BTs that offers more flexibility as well as higher reactivity and robustness by introducing Mixed Initiative Planning (MIP) to BTs using Dynamic Sequence Nodes (DSNs). DSNs reduce the human effort needed to design a BT as well as the number of nodes to achieve a certain task while maintaining robustness, readability, and modularity of the tree. Additionally, it introduces run-time optimization to BTs, as opposed to tree synthesis approaches that guarantee convergence but overlook performance.
Hydrogen electrolysis systems have seen considerable interest from energy communities as a potential solution for shifting from fossil-based energy resources to clean energy alternatives. The system consists of transf...
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Hydrogen electrolysis systems have seen considerable interest from energy communities as a potential solution for shifting from fossil-based energy resources to clean energy alternatives. The system consists of transforming electricity into hydrogen via water electrolysis. As it is expected to have a large-scale connection with the grid to compensate the fluctuation of renewables, it is important to understand the system's technical and economic feasibility. Therefore, this work aims to provide a high-level techno-economic assessment for the participation of a large-scale electrolysis plant in hydrogen and grid ancillary service markets. The plant generates revenue from two sources: hydrogen and frequency regulation. Based on market prices of electricity and hydrogen, a linear programming (LP) optimization has shown that a 50MW electrolysis plant can generate a 33% increase in profit if the plant includes the grid support market in the business model. Additionally, simulations under unstable grid frequency have shown high reactivity of the system to maintain grid stability. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)
The rapid expansion and extensive integration of modern e-commerce have dramatically escalated consumer expectations regarding the speed of order fulfillment. In response, advanced smart warehouse technologies have em...
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