[HTML][HTML] An ontology model to represent aquaponics 4.0 system's knowledge
Aquaponics, one of the vertical farming methods, is a combination of aquaculture and
hydroponics. To enhance the production capabilities of the aquaponics system and …
hydroponics. To enhance the production capabilities of the aquaponics system and …
Driving digital engineering integration and interoperability through semantic integration of models with ontologies
D Dunbar, T Hagedorn, M Blackburn… - Systems …, 2023 - Wiley Online Library
Engineered solutions are becoming more complex and multi‐disciplinary in nature. This
evolution requires new techniques to enhance design and analysis tasks that incorporate …
evolution requires new techniques to enhance design and analysis tasks that incorporate …
Category-theoretic formulation of the model-based systems architecting cognitive-computational cycle
Simple Summary This paper introduces a holistic framework, underpinned by Category
Theory, for the process of conceptual modeling of complex engineered systems, generically …
Theory, for the process of conceptual modeling of complex engineered systems, generically …
Knowledge management for information querying system in education via the combination of rela-ops model and knowledge graph
E-learning is an online educational system that uses electronic and technology tools and the
internet. To facilitate the acquisition of knowledge, students can consult materials and …
internet. To facilitate the acquisition of knowledge, students can consult materials and …
Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning
EXplainable Artificial Intelligence (XAI) has recently become a very active domain, mainly
due to the extensive development of black-box models such as neural networks. Recent XAI …
due to the extensive development of black-box models such as neural networks. Recent XAI …
Artificial intelligence and future of systems engineering
Abstract Systems Engineering (SE) is in the midst of a digital transformation driven by
advanced modeling tools, data integration, and resulting “digital twins.” Like many other …
advanced modeling tools, data integration, and resulting “digital twins.” Like many other …
Toward an enterprise architecture for a digital systems engineering ecosystem
The digital transformation era is upon us. Digital transformation gradually crawls up the
value chain from services and manufacturing to product design and systems engineering. In …
value chain from services and manufacturing to product design and systems engineering. In …
Use of Semantic Web Technologies to Enable System Level Verification in Multi-Disciplinary Models
D Dunbar, T Hagedorn, M Blackburn… - … and the Future of …, 2022 - ebooks.iospress.nl
Integration of data from multiple sources into a single, project wide view is a necessity to
keep up with increasing complexity and transdisciplinary considerations in engineering …
keep up with increasing complexity and transdisciplinary considerations in engineering …
Formal reasoning of knowledge in systems engineering through epistemic modal logic
H Kannan - Systems Engineering, 2021 - Wiley Online Library
Large‐scale systems engineering projects consist of hundreds to thousands of agents
(stakeholders, managers, designers, etc.) spread across the organizational hierarchy. Each …
(stakeholders, managers, designers, etc.) spread across the organizational hierarchy. Each …
Recommendations for the Model-Based Systems Engineering Modeling Process Based on the SysML Model and Domain Knowledge
J Zhang, S Yang - Applied Sciences, 2024 - mdpi.com
Model-based systems engineering (MBSE) is a modeling approach used in industry to
support the formalization, analysis, design, checking and verification of systems. In MBSE …
support the formalization, analysis, design, checking and verification of systems. In MBSE …