Results 41 to 50 of about 9,978 (249)
Applied Sciences, 2023 This scientific article discusses the process of digital transformation of enterprises, analyzed as complex technical systems. Digital transformation is essential for businesses to remain competitive in the global marketplace.
N. Bolshakov +7 more
semanticscholar +1 more source
A Unified Requirements‐Architecture System Model—Development and Empirical Evaluation
Systems Engineering, EarlyView.ABSTRACT Moving systems engineering's center of gravity from text documents to digital models, model‐based system engineering (MBSE) facilitates collaboration, reduces errors, and improves system understanding, but systems engineers often face challenges when they start working with MBSE, as they need to consider and model textual requirements as a ...
Liat Katzir +2 more
wiley +1 more source
SystemsModel-based systems engineering (MBSE) is being rapidly adopted in U.S. industries across various sectors. While practitioners and academics recognize many benefits of adopting MBSE, industries also report challenges such as limited tool expertise and a ...
Aditya Akundi +3 more
doaj +1 more source
Relativistic $GW$+BSE study of the optical properties of Ruddlesden-Popper iridates
, 2018 We study the optical properties of the Ruddlesden-Popper series of iridates Sr$_{n+1}$Ir$_n$O$_{3n+1}$ ($n$=1, 2 and $\infty$) by solving the Bethe-Salpeter equation (BSE), where the quasiparticle (QP) energies and screened interactions $W$ are obtained ...
Chen, Xing-Qiu +5 more
core +1 more source
Future Directions for MBSE with SysML v2
International Conference on Model-Driven Engineering and Software Development, 2023 : Model-based systems engineering (MBSE) has evolved over the last several years in response to the need to deal with growing system complexity and increased enterprise agility.
Sanford A. Friedenthal
semanticscholar +1 more source
A Systems Engineering Methodology for System of Autonomous Systems: Test and Evaluation
Systems Engineering, EarlyView.ABSTRACT Recent advances in artificial intelligence and machine learning (AI/ML) have resulted in autonomous systems that reduce operators' workload and involvement in hazardous missions. Integrating these systems into an existing system of systems (SoS) can evolve it into a system of autonomous system (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
wiley +1 more source
Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review
Systems Engineering, EarlyView.ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso +4 more
wiley +1 more source
Acta Psychologica, 2023 Smart education is a combination of AI and education, and its benefits are delayed. Existing research lacks an understanding of smart education continuance intention in the context of this delayed benefit.
Biao Gao
doaj +1 more source
A Systems-Based Approach to the Identification of User/Infrastructure Interdependencies as a Precursor to Identifying Opportunities to Improve Infrastructure Project Value/Cost Ratios [PDF]
, 2015 The bulk of the investment needed for infrastructure renewal in the United Kingdom will have to come from private sector investors, who will require attractive value/cost ratios.
Baker, C. +5 more
core
Formal Approach to Safety‐Driven Dynamic Procedure Modeling
Systems Engineering, EarlyView.ABSTRACT Ensuring the safety of unmanned aerial systems (UAS) is a growing concern as the number of UAS grows increasingly fast. Regulatory bodies are in the process of tackling this problem by issuing standards and recommendations to be met by UAS designers.
Jean‐Charles Chaudemar +3 more
wiley +1 more source