Zerrendatu Kongresuak-Ingeniaritza honen arabera: egilea "33eee90a29c34dfbabb3f1c3bfcd6caa"
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Advantages of Arrowhead Framework for the Machine Tooling Industry
Aldalur, Iñigo; Illarramendi, Miren; Larrinaga, Felix; Perez Lazare, Jose María (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 ... -
Architecture for managing AAS-based business processes
Ochoa, William; Larrinaga, Felix; Perez Riaño, Alain (Elsevier, 2023)Industries frequently encounter the need to orchestrate services provided by devices as business processes. These industrial business process models need to meet Industry 4.0 (I4.0) specifications to handle unpredictable ... -
CRESCO Framework and Checker: Automatic Generation of Reflective UML State Machine's C++ Code and Checker
Illarramendi, Miren; Etxeberria, Leire; Larrinaga, Felix; Sagardui, Goiuria (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 ... -
Data Sovereignty for AI Pipelines: Lessons Learned from an Industrial Project at Mondragon Corporation
Larrinaga, Felix (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, ... -
Data-driven energy resource planning for Smart Cities
Larrinaga, Felix (IEEE, 2020)Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ... -
Data-driven Workflow Management by utilising BPMN and CPN in IIoT Systems with the Arrowhead Framework
Larrinaga, Felix (IEEE, 2019)Workflow management is realised in manufacturing at the Enterprise- and Production (workstation) levels. The characteristics of business processes in these levels differ enough to prevent the adoption of ... -
The district energy-efficient retrofitting of Torrelago (Laguna de Duero - Spain)
Larrinaga, Felix (IOP Publishing, 2019)The urban growth is estimated to reach up the 66 % by 2050 and consequently the need of resources within the cities will increase significantly. This, combined with the 40 % of energy consumption and 36 % of CO2 emissions ... -
Enhancing Flexibility in Industry 4.0 Workflows: A Context-Aware Component for Dynamic Service Orchestration
Ochoa, William; Larrinaga, Felix; Perez Riaño, Alain; Cuenca Ariza, Javier (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 ... -
Exploring the transformation of user interactions to Adaptive Human-Machine Interfaces
Carrera-Rivera, Angela; Reguera-Bakhache, Daniel; Larrinaga, Felix; Lasa, Ganix (ACM, 2023)Human-machine interfaces (HMI) facilitate communication between humans and machines, and their importance has increased in modern technology. However, traditional HMIs are often static and do not adapt to individual user ... -
Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance
Larrinaga, Felix; Garitano, Iñaki; Zugasti, Ekhi; Zurutuza, Urko (2018)This paper presents the implementation of a refer-ence architecture for Cyber Physical Systems (CPS) to supportCondition Based Maintenance (CBM) of industrial assets. The article focuses on describing how the MANTIS ... -
La importancia de la relación empresa-universidad en la formación del alumno
Lizarralde, Osane; Perez Lazare, Jose María; Larrinaga, Felix (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)The Computer Science Engineering Degree includes an in-companytrainingexperience for students with professional assistance from university. Two pro-grams address this initiative objective is the im-provements ... -
MDE based IoT Service to enhance the safety of controllers at runtime
Illarramendi, Miren; Etxeberria, Leire; Elkorobarrutia, Xabier; Perez Lazare, Jose María; Larrinaga, Felix; Sagardui, Goiuria (Aachen University, 2019)One of the challenges for complex IoT software systems is toincrease their safety. A Model Driven Development approach helps in the design and development phase of these systems while runtime checkin gtechniques help to ... -
A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
Peralta Abadía, José Joaquín; CUESTA ZABALAJAUREGUI, MIKEL; Larrinaga, Felix (Elsevier, 2023)For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ... -
Node-RED Workflow Manager for Edge Service Orchestration
Larrinaga, Felix; Ochoa, William; Perez Riaño, Alain; Cuenca, Javier; Legaristi Labajos, Jon; Illarramendi, Miren (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 ... -
Optimal manufacturing configuration selection: sequential decision making and optimization using reinforcement learning
Peralta Abadía, José Joaquín; CUESTA ZABALAJAUREGUI, MIKEL; Larrinaga, Felix; ARRAZOLA, PEDRO JOSE (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 ... -
Towards an Advanced Artificial Intelligence Architecture through Asset Administration Shell and Industrial Data Spaces
Legaristi Labajos, Jon; Larrinaga, Felix; Zugasti, Ekhi; Cuenca, Javier (2023)This article develops an architecture for the implementation of Artificial Intelligence in the manufacturing value chain based on standard technologies and data spaces. The standards considered are IEC 63278 “Asset ... -
Towards an Asset Administration Shell scenario: a use case for interoperability and standardization in Industry 4.0
Perez Riaño, Alain; Larrinaga, Felix; Cuenca Ariza, Javier (IEEE, 2020)The new paradigm of the Industry 4.0 centers on the digitalization of assets to realize a new industrial revolution. Standardization and interoperability are key for the successful implementation of this digitalization ... -
Towards Standardized Manufacturing as a Service through Asset Administration Shell and International Data Spaces Connectors
Larrinaga, Felix; Perez Riaño, Alain; Cuenca, Javier; Legaristi Labajos, Jon (IEEE, 2022)This paper presents an industrial scenario that simulates a Manufacturing as a Service system for the execution of remote production orders built upon the implementation of emerging Asset Administration Shell (AAS) ... -
UX-for Smart-PSS: Towards a Context-Aware Framework
Carrera-Rivera, Angela; Larrinaga, Felix; Lasa, Ganix (SCITEPRESS, 2022)Smart-product service systems are a business strategy that combines product and service into one value proposition. The user experience of digital services and the smart product can be a clear differentiator among competitors ...