239,803 research outputs found
An Adaptive Design Methodology for Reduction of Product Development Risk
Embedded systems interaction with environment inherently complicates
understanding of requirements and their correct implementation. However,
product uncertainty is highest during early stages of development. Design
verification is an essential step in the development of any system, especially
for Embedded System. This paper introduces a novel adaptive design methodology,
which incorporates step-wise prototyping and verification. With each adaptive
step product-realization level is enhanced while decreasing the level of
product uncertainty, thereby reducing the overall costs. The back-bone of this
frame-work is the development of Domain Specific Operational (DOP) Model and
the associated Verification Instrumentation for Test and Evaluation, developed
based on the DOP model. Together they generate functionally valid test-sequence
for carrying out prototype evaluation. With the help of a case study 'Multimode
Detection Subsystem' the application of this method is sketched. The design
methodologies can be compared by defining and computing a generic performance
criterion like Average design-cycle Risk. For the case study, by computing
Average design-cycle Risk, it is shown that the adaptive method reduces the
product development risk for a small increase in the total design cycle time.Comment: 21 pages, 9 figure
On Reverse Engineering in the Cognitive and Brain Sciences
Various research initiatives try to utilize the operational principles of
organisms and brains to develop alternative, biologically inspired computing
paradigms and artificial cognitive systems. This paper reviews key features of
the standard method applied to complexity in the cognitive and brain sciences,
i.e. decompositional analysis or reverse engineering. The indisputable
complexity of brain and mind raise the issue of whether they can be understood
by applying the standard method. Actually, recent findings in the experimental
and theoretical fields, question central assumptions and hypotheses made for
reverse engineering. Using the modeling relation as analyzed by Robert Rosen,
the scientific analysis method itself is made a subject of discussion. It is
concluded that the fundamental assumption of cognitive science, i.e. complex
cognitive systems can be analyzed, understood and duplicated by reverse
engineering, must be abandoned. Implications for investigations of organisms
and behavior as well as for engineering artificial cognitive systems are
discussed.Comment: 19 pages, 5 figure
Interactive boundary element analysis for engineering design.
Structural design of mechanical components is an iterative process that involves multiple stress analysis runs; this can be
time consuming and expensive. Significant improvements in the eciency of this process can be made by increasing the
level of interactivity. One approach is through real-time re-analysis of models with continuously updating geometry. Three
primary areas need to be considered to accelerate the re-solution of boundary element problems. These are re-meshing
the model, updating the boundary element system of equations and re-solution of the system.
Once the initial model has been constructed and solved, the user may apply geometric perturbations to parts of the
model. The re-meshing algorithm must accommodate these changes in geometry whilst retaining as much of the existing
mesh as possible. This allows the majority of the previous boundary element system of equations to be re-used for the
new analysis. For this problem, a GMRES solver has been shown to provide the fastest convergence rate. Further time
savings can be made by preconditioning the updated system with the LU decomposition of the original system. Using
these techniques, near real-time analysis can be achieved for 3D simulations; for 2D models such real-time performance
has already been demonstrated
- โฆ