Bilatu
37-tik 21-30 emaitza erakusten
Node-RED Workflow Manager for Edge Service Orchestration
(IEEE, 2022)
Microservice Architectures have increasingly become popular in Industry 4.0 as they allow heterogeneous systems to interact, reduce the complexity in the management of individual components, and support distributed ...
Data Sovereignty for AI Pipelines: Lessons Learned from an Industrial Project at Mondragon Corporation
(ACM, 2022)
The establishment of collaborative AI pipelines, in which multiple organizations share their data and models, is often complicated by lengthy data governance processes and legal clarifications. Data sovereignty solutions, ...
Advantages of Arrowhead Framework for the Machine Tooling Industry
(IEEE, 2020)
Immersed in the digital era and fully experiencing the changes introduced by the new industrial revolution of the so-called Industry 4.0, there are still many aspects of industrial digitization to resolve. Interoperability ...
CRESCO Framework and Checker: Automatic Generation of Reflective UML State Machine's C++ Code and Checker
(IEEE, 2020)
Software Systems are becoming increasingly complex leading to new Validation & Verification challenges. Model checking and testing techniques are used at development time while runtime verification aims to verify that a ...
Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation
(MDPI, 2023)
In an era ruled by data and information, engineers need new tools to cope with the increased complexity of industrial operations. New architectural models for industry enable open communication environments, where workflows ...
A Holistic and Interoperable Approach towards the Implementation of Services for the Digital Transformation of Smart Cities: The Case of Vitoria-Gasteiz
(MDPI, 2021)
Cities in the 21st century play a major role in the sustainability and climate impact reduction challenges set by the European agenda. As the population of cities grows and their environmental impact becomes more evident, ...
A case study on the use of machine learning techniques for supporting technology watch
(Elsevier, 2018)
Technology Watch human agents have to read many documents in order to manually categorize and dispatch them to the correct expert, that will later add valued information to each document. In this two step process, the first ...
Dynamic context-aware workflow management architecture for efficient manufacturing: A ROS-based case study
(Elsevier, 2024)
The manufacturing industry of the future requires innovative approaches to optimize operational efficiency and adaptability. Integrating context-awareness into workflow management systems has emerged as a promising avenue ...
Optimal manufacturing configuration selection: sequential decision making and optimization using reinforcement learning
(Elsevier, 2023)
In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing ...
Enhancing Flexibility in Industry 4.0 Workflows: A Context-Aware Component for Dynamic Service Orchestration
(Elsevier, 2024)
Manufacturing processes of the future will rely on standards for asset interoperability and service orchestration. The Asset Administration Shell (AAS) facilitates information exchange among Industry 4.0 assets, while ...