Microscopy is a natural methodology for the acquisition of microstructural information, but for polymers there are few straightforward techniques.
This article presents a methodology for the acquisition of expert knowledge so that the properties and characteristics can be modeled.
The main objective of this study is a methodology for monitoring, acquisition and analysis of electrical parameters using digital signal processing (DSP) techniques.
No more details on that except to say that it's a tech company that will bring it "an entirely new methodology for customer acquisition and CRM".
There are various methodologies for data acquisition, for example, PLC Power Line Communicationn), PIC, Reference cell, National Instruments etc. Various requirements are considered while selecting a proper monitoring system for an application.
In addition, our studies indicate the need to alter present methodologies for the acquisition and cartographic representation of sediment data through the utilization of the soil landscape paradigm and a classification scheme (such as Soil Taxonomy) for the development of subaqueous soil resource inventories.
To predict the toxicity associated with human exposure to potential toxicants; the National Toxicology Program, the U.S. Environmental Protection Agency and the National Institutes of Health Chemical Genomics Center are developing methodologies for the acquisition and analysis of high- and medium-throughput screening data from in vitro and alternative in vivo systems [1].
The goals of this study are to test the validity of micro-CT as a tool to import accurate bond wire geometries to single- and multi-physical finite element testing and to produce a practical methodology for the image acquisition, processing, and simulation of integrated circuit bond wires with a focus on practicality and industrial applicability.
A detailed methodology for the fluorescence acquisition can be found on the online data supplement (Materials and Methods S1).
We propose an original and readily applicable methodology for modelers to guide data acquisition and analysis, incorporate expert knowledge, and conceptualize decision-making processes in farming systems using a software engineering language to support the development of the model.
