To develop the methodology and rules needed for generic beamline design, analytic models, the STAC8 code, and the FLUKA Monte Carlo code were used to pre-calculate sets of curves and tables that can be looked up for each beamline safety design.
The methodology and design rules are generalized for microfluidics packaging.
The paper proposes a methodology and design rules for organisational structures facing higher necessity of rapidly reconfigure themselves to cope with unpredictable situations new markets, new products, changing mix of production, problems in production process or flows etc.
In this paper, we propose an interaction-oriented approach, which bases on the analytic hierarchy process (AHP) methodology and proportional rule, to solve the semiconductor distribution problem with multiple quantitative and qualitative criteria.
To investigate these research issues, the Apriori and C5.0 algorithms are methodologies of association rules and decision trees for data mining, which is implemented to mine customer's needs.
Banks' IT culture is driven by rules, segmentation, processes and methodologies and are frequently set up as matrix organizations.
Thus, this paper uses the Apriori algorithm as a methodology for association rules and clustering analysis for data mining, which is implemented for mining customer knowledge from the case firm, Phoenix Tours International, in Taiwan.
Specifically, we classify de-identification tools in two groups of methodologies: rule-based and machine learning-based, as proposed in an earlier publication [ 3].
This kind of retrospective virtual screening is performed by using encoded molecule data and a neuro-fuzzy methodology for classification, feature selection, and rule generation.
In this paper, we present a methodology to extract and validate rules (and patterns) as time bound failure signatures for real time failure predictions, using Bayesian approach.
As we shall show, in networks where no node is regulated by every undamaged node, this methodology and choice of interaction rule modifications can unambiguously fix any state to be a steady state of the network, including time-averaged representations of multi-state attractors.
