Mechatronics is a multidisciplinary field of engineering combining disciplines like mechanical, electronic or software engineering, in order to design and manufacture useful products. Nowadays, mechatronic engineering...
Mechatronics is a multidisciplinary field of engineering combining disciplines like mechanical, electronic or software engineering, in order to design and manufacture useful products. Nowadays, mechatronic engineering is well-supported either by using integrated tool suites providing a homogeneous approach to engineering, or by relying on established tool chains consisting of a set of engineering tools connected using a common data exchange format. However, in practice neither tool suites nor tool chains have become a de facto standard in engineering, leading to tedious and often manual integration efforts required to combine specific engineering tools or tool suites. This paper presents an engineering tool integration framework that allows the definition and usage of mechatronic objects originating from heterogeneous engineering tools, so-called “engineering objects”. These engineering objects can additionally include project and organizational information, thus enabling exhaustive engineering process management and monitoring. The presented approach is evaluated in an industrial case study from the hydro power plant engineering domain. Major results are engineering objects that can include heterogeneous data, such as project or organization-specific information, thus enabling automated and therefore more efficient synchronization between the involved engineering disciplines, as well as added-value applications, like project monitoring or quality assured data import and export.
Modern systems comprise hardware and software components that together provide value through enabling the functionality that the system is intended to provide. systemsengineering (SE) and software engineering (SwE) a...
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This paper presents a novel life cycle model for developing university-scale sounding rockets, integrating technical and Islamic perspectives. The model, referred to as the 'Water Spring Model,' aims to align ...
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The European Green Deal is one of the key milestones in achieving the European Commission's sustainability goals. A key objective is to reduce the use of resources in order to reduce global emissions. Early valida...
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Generative Artificial Intelligence (GAI) and the idea to use hierarchical models has been around for some years now. GAI has proved to be an extremely useful tool for Autonomous Vehicles (AVs). AVs need to perform rob...
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Due to globalization and speedy of ICT and systems development, more emphasis needs to be on quality of systems and it requires an accurate, fast, effective system so that the success measure of system is essential. C...
Due to globalization and speedy of ICT and systems development, more emphasis needs to be on quality of systems and it requires an accurate, fast, effective system so that the success measure of system is essential. Currently systems rate of fall is still a high one of the reasons behind that is the weakness of the available instruments that being used for systems success measurement. This study aims to come out with a successful instrument for successfully system quality measuring. In this article, the results of the pilot test have been illustrated.
The Reliability-Based Design Optimization(RBDO)of complex engineering structures considering uncertainties has problems of being high-dimensional,highly nonlinear,and timeconsuming,which requires a significant amount ...
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The Reliability-Based Design Optimization(RBDO)of complex engineering structures considering uncertainties has problems of being high-dimensional,highly nonlinear,and timeconsuming,which requires a significant amount of sampling simulation *** this paper,a basis-adaptive Polynomial Chaos(PC)-Kriging surrogate model is proposed,in order to relieve the computational burden and enhance the predictive accuracy of a *** active learning basis-adaptive PC-Kriging model is combined with a quantile-based RBDO ***,five engineering cases have been implemented,including a benchmark RBDO problem,three high-dimensional explicit problems,and a high-dimensional implicit *** with Support Vector Regression(SVR),Kriging,and polynomial chaos expansion models,results show that the proposed basis-adaptive PC-Kriging model is more accurate and efficient for RBDO problems of complex engineering structures.
Model-Based systemsengineering (MBSE) has had inconsistent implementation across industry and academia. This inconsistency is caused by different definitions of the term “system” have led to theoretical vagueness a...
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ISBN:
(数字)9798331508180
ISBN:
(纸本)9798331508197
Model-Based systemsengineering (MBSE) has had inconsistent implementation across industry and academia. This inconsistency is caused by different definitions of the term “system” have led to theoretical vagueness and contradictions that undermine the effectiveness of MBSE practices including metamodeling. By grounding MBSE in materialist philosophy, we aim to analyze vagueness in current definitions of “system.” We analyze the current definitions by using semantic analysis of decomposing their reference classes and intensions. Where reference classes determine the set of objects that a theory refers to, and intensions are the logical decomposition of a statement as it is written. Our findings reveal that the vagueness in current systemsengineering theories is mostly due to the inability to resolve the ontological status of information. That is, current definitions do not clearly state how information interacts in the material world. Moreover, we have found internal inconsistencies and contradictions in current foundational theories, particularly with regard to emergence, interactions, and properties in both real and conceptual systems. We conclude that current systemsengineering theories are not suitable for scientific practice. Moreover, we argue that adopting a materialist stance provides a precise ontological basis for defining systems, thereby reducing inconsistencies and enhancing the rigor of MBSE theories.
Unmanned Aerial systems (UASs) have become essential for targeting high-value assets due to their low cost and operational versatility, posing significant battlefield challenges. This study addresses the need for a lo...
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ISBN:
(数字)9798331508180
ISBN:
(纸本)9798331508197
Unmanned Aerial systems (UASs) have become essential for targeting high-value assets due to their low cost and operational versatility, posing significant battlefield challenges. This study addresses the need for a low-cost, lightweight counterUAS (C-UAS) system that integrates seamlessly into infantry platoons. Using a model-based systemsengineering (MBSE) approach, stakeholder feedback informed use cases and operational requirements, allowing for the development of the system's logical architecture. The study incorporated prototyping to support the development of the system's physical architecture. The prototype featured a Raspberry Pi and a software-defined radio capable of detecting drones and emitting a jamming signal. Soldiers interfaced with the prototype via the Android Tactical Assault Kit (ATAK), a system already deployed on the battlefield. Power was sourced from the conformal batteries worn by soldiers. The prototyping effort yielded critical insights into technical requirements, which were incorporated into the system's design. The lightweight, compact prototype demonstrates significant potential for field deployment, offering infantry units a costeffective, reliable solution for detecting and countering UAS threats. This study provides a foundation for future C-UAS development, addressing the urgent need for enhanced counterUAS capabilities in modern military operations.
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