In practical applications, brush should combine with different substrates to meet multiple requirements, such as electrical conductivity, survivability, and mechanical properties.
This implementation allows the modification of the development platform to cover multiple requirements, such as, ranging errors in the input parameters or including other positioning technologies.
In order to improve the surface properties to allow better and more expeditious adaptation to the physiological surroundings, it is imperative to design and construct a surface to satisfy multiple clinical requirements such as mechanical strength, biocompatibility, and degradation rate.
In the design phase of a commercial vehicle turbocharger bearing system design, a previously [1] suggested analysis methodology was applied to take advantage of multiple challenging customer requirements such as lower shaft temperature, equal or lower power loss, low cost, good stability/reliability and short development schedule.
The vehicle scheduling problem, arising in public transport bus companies, addresses the task of assigning buses to cover a given set of timetabled trips with consideration of practical requirements, such as multiple depots and vehicle types as well as depot capacities.
We presented an approach for optimally solving this crosslayer optimization problem while meeting the requirements, such as distributed implementation, multiple path routing, and per-hop error performance.
The method still maintains main requirements such as optimality, distributed implementation, multiple path routing and per-hop error performance.
Cross-database persistence facilitates the use of multiple NoSQL technologies, each potentially optimised for specific requirements such as fast read or write performance.
It is notable that there are certain kinds of software requirements, such as non-functional requirements, that must be implemented cross-cutting multiple classes, largely losing the modularity in object-oriented design and implementation code.
As such, a supermajority (or unanimity) rule may take the place of the product rule where there are multiple requirements for liability or guilt.
University policy prohibits double counting of courses in multiple programs except in specific cases such as introductory skill requirements or overlapping courses that enable a student to meet University requirements such as GERs.
