Model-based Systems Engineering
Model-based Systems Engineering - Related Videos
11:22
Engineering Biological-Based Vascular Grafts Using a Pulsatile Bioreactor
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Cited by 31 •
2011
Our group has developed a bioreactor culture system that mimics the physiological pulsatile stresses of the cardiovascular system to regenerate implantable small-diameter vascular grafts.
06:17
Engineered 3D Silk-collagen-based Model of Polarized Neural Tissue
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Cited by 30 •
2015
Insight into the complex actions of the brain requires advanced research tools. Here we demonstrate a novel silk-collagen-based 3D engineered model of neural tissue resembling brain-like architecture. The model can be used to study neuronal network assembly, axonal guidance, cell-cell interactions and electrical activity.
09:36
Genetic Engineering of Model Organisms
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2023
Transgenesis, or the use of genetic engineering to alter gene expression, is widely used in the field of developmental biology. Scientists use a number of approaches to alter the function of genes to understand their roles in developmental processes. This includes replacement of a gene with a nonfunctional copy, or adding a visualizable tag to a gene that allows the resultant fusion protein to be tracked throughout development. In this video, the viewers will learn about the principles behind...
14:43
Synthesis of Keratin-based Nanofiber for Biomedical Engineering
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Cited by 12 •
2016
Electrospun nanofibers have a high surface area to weight ratio, excellent mechanical integrity, and support cell growth and proliferation. These nanofibers have a wide range of biomedical applications. Here we fabricate keratin/ PCL nanofibers, using the electrospinning technique, and characterize the fibers for possible applications in tissue engineering.
11:38
Stem-cell Based Engineered Immunity Against HIV Infection in the Humanized Mouse Model
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Cited by 20 •
2016
This protocol describes the methods in constructing a humanized bone-marrow/liver/thymus mouse model with stem cell-based engineered immunity against HIV infection.
FAQs
The integrated model connects requirements, architecture, components, interfaces, behaviors, and verification relationships, allowing teams to examine how a change in one area affects others. These connections expose inconsistencies earlier than disconnected information typically can and provide a shared basis for evaluating design alternatives. The result is more coordinated multidisciplinary engineering and clearer justification for system-level decisions.
Traceability links show how system elements relate across development activities, such as how requirements connect to architecture, behavior, and verification. This relationship structure helps teams determine whether important needs are addressed and whether planned verification aligns with the system definition. It also supports impact analysis when the design evolves, reducing the risk that changes create unnoticed gaps or conflicts.
Document-centered work can leave requirements, design descriptions, interface information, and verification evidence distributed across separate artifacts. In MBSE, these elements are represented within an integrated digital model, often through a systems modeling language and linked relationships. This arrangement makes system information more consistent and easier to analyze, communicate, update, and control as the project develops.
A useful model organizes the system information needed to understand and manage its development, including requirements, architecture, components, interfaces, behaviors, and verification relationships. These elements should be connected so that the team can examine their dependencies rather than reviewing them in isolation. Organizing this information supports communication across disciplines and helps maintain a coherent system definition throughout the life cycle.
Teams can use the model to define system needs, represent architectural and behavioral decisions, examine design alternatives, and connect those decisions to verification relationships. As development continues, the same structured representation supports communication and configuration control when the system changes. This life-cycle use reduces reliance on disconnected updates and helps preserve consistency from early definition through later engineering activities.
The approach is particularly valuable for complex systems that require coordination among multiple engineering disciplines or must remain controlled as they evolve. The overview identifies aerospace, automotive, defense, and other safety-critical domains as important examples. In these settings, integrated relationships and traceability can support earlier inconsistency detection, clearer technical decisions, and more reliable system development.