Introduction: The design of digital circuits, especially for full-custom cells, is often a time consuming and laborious process relying on the intuition and heuristic knowledge of the designer. Optimising transistor sizes is the main key in meeting the various design specifications such as time-delay, area and power. The problem with this type of design optimisation is the large number of desig...

this study concerns the scope to improve water flooding in heterogeneous reservoirs. we used an existing, in-house developed, optimization program consisting of a reservoir simulator in combination with an adjoint-based optimal control algorithm. in particular we aimed to examine the scope for optimization in a two-dimensional horizontal reservoir containing a single high permeable streak, as a...

generally, a typical problem which is crucial in a manufacturing system is increasing the production rate.  to cope with the problem, different types of techniques are used in companies by trial and error which imposes high costs on them. using simulation as a tool for assessing the effect of alterations on the performance of the overall system might be significant. this paper considers a simul...

abstract human insulin-like growth factor i (higf-i) is a kind of growth factor with clinical significance in medicine. the major objective of this study is over- production of recombinant human insulin-like growth factor i( rhigf-i) through a developed process by recruiting effective factors in order to achieve the most recombinant protein. up to now e. coli expression system has been widely us...

There is increasing interest in the use of design patterns for model transformations, and a number of such patterns have been proposed. In this paper we survey previous work on transformation design patterns, discuss one pattern in detail, and identify priorities for future research.

In this study, the statistical methodology of Design of Experiments (DOE) was applied to better determine the parameters of an Artificial Neural Network (ANN) in a problem of nonlinear time series forecasting. Instead of the most common trial and error technique for the ANN’s training, DOE was found to be a better methodology. The main motivation for this study was to forecast seasonal nonlinea...

We introduce an automated digital microfluidic platform capable of performing immunoassays from sample-toanalysis with minimal manual intervention. This platform features a 90 Pogo pin interface, an integrated photomultiplier tube, and an adjustable magnet. The new platform was used to implement a design of experiments optimization for immunoassays, resulting in an optimized protocol that reduc...