Results 31 to 40 of about 2,405 (180)
Systems Engineering, EarlyView.ABSTRACT Digital Engineering (DE) transformation represents a paradigm shift in systems engineering (SE), aiming to integrate heterogeneous analytical models and digital artifacts into an authoritative source of truth to improve traceability and lifecycle management.
Md Doulotuzzaman Xames, Taylan G. Topcu
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
Systems Engineering, EarlyView.ABSTRACT As Large Language Models (LLMs) are increasingly deployed within the systems engineering domain, optimizing these models to balance performance accuracy and cost for given computational resources becomes essential. One process for finding the right balance is quantization, a process that involves converting model parameters from higher ...
Ryan Bell +2 more
wiley +1 more source
Systems Engineering, EarlyView.ABSTRACT Systems Engineering (SE) relies on industry–academia collaboration for much of its research. Such collaborations are frequently described valuable in practice. At the same time, there is a need to align between partners to maximize the value of collaboration through acknowledging and working with nuances between parties to share and develop ...
Johan Cederbladh, Simon Sjölund
wiley +1 more source
Model‐Based Cybersecurity: Automating Common Vulnerabilities Reporting
Systems Engineering, EarlyView.ABSTRACT The Common Vulnerabilities and Exposures (CVE) Program's mission is to identify, define, and catalog publicly disclosed cybersecurity vulnerabilities. A cybersecurity practitioner who suspects a software, hardware, or service vulnerability, can initiate a CVE‐ID Requesting process, as defined by MITRE.
Ahmad Jbara, Dov Dori
wiley +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
Systems Engineering, EarlyView.ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
Dianzi Jishu YingyongIn the field of nuclear power, any unforeseen situation may lead to serious consequences. Therefore, the development of scientific and effective emergency response management system is an indispensable part of guaranteeing the safety of nuclear power ...
Fang Sicong +4 more
doaj +1 more source
Model-based systems engineering in modular design
Design Science, 2019 Modular design allows to reduce costs based on scaling effects. However, due to strong alternating effects between the resulting modules and products, methods and tools are required that enable engineers to use specific views in which the respective ...
Albert Albers +5 more
doaj +1 more source
Assessment of a Model‐Based Approach to Achieve Authorization to Operate
Systems Engineering, EarlyView.ABSTRACT Accreditation of United States Government (USG) Information Systems (IS) is required to assure their function and security before delivery to the operational environment. However, in many cases, the baseline document‐based accreditation processes are sources of cost and schedule overruns.
Edan C. Sanchez +2 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