Sentence examples for important design data from inspiring English sources

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CNT tests also produced important design data, i.e. threshold stress intensity for SCC (KISCC) and SCC crack growth rate.

Adsorption equilibrium data which express the relationship between mass of adsorbate adsorbed per unit weight of adsorbent and liquid-phase equilibrium concentration of adsorbate are represented by adsorption isotherms and provide important design data of adsorption system.

It also provides a collaborative area in order to improve the collaboration among remote users involved in the design process, thanks to the sharing of important design data and models.

The following problems are discussed: modelling approaches which take into account all important design data; analytical methods for performance evaluation for each design solution; cost evaluation of production lines; optimisation algorithms, based on different production line models.

Similar(56)

Additionally important design and manufacturing data related to the vaginal speculum mechanism and its parts were obtained.

Simultaneous logic and its inverse in a single circuit is an important design because input data of a circuit cannot be lost during operation.

Data mapping is the most important design step in the data warehouse lifecycle and impacts project success or failure.

The trial data provides important design principles to help fast track systems optimisation for near optimal sub-tropical conditions.

There are three important design issues, namely (a) how data should be replicated and stored at multiple nodes, (b) how a query is disseminated in sparsely connected networks, and (c) how a query response is routed back to the issuing node.

The above threat outline helps define two immediate important design principles: the obfuscation of data in both content and presence, as well as limiting the GenePING server's capabilities to reduce the number potential attacks.

In this paper, we analyze a large volume of historical PCB design data, extract some important variables, and develop predictive models based on the extracted variables using a data mining approach.

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