"detail implementation" is a correct and commonly used phrase in written English.
It refers to the specific steps or processes involved in carrying out a plan or task, with a focus on the specific details and nuances. Example: "The success of this project will depend on our attention to detail implementation. We must thoroughly plan and execute each stage with precision."
The hardware detail, implementation concept in FPGA and testing results will be presented in the paper.
System design is associated with building a formal morphology of the system, comprising the process of defining the system parameters, submodels, and criteria, selecting an optimal candidate, and preparing a detail implementation plan for the chosen candidate.
Its detail implementation is listed in Algorithm 3. In general, this algorithm calculates the transmit and receive pulses alternatingly until the overall process converges.
Essentially, two parts need to be overwritten: 1) The animation module (CARStatementProcessor and CARAnimation) is replaced by the utilities generation module (CARUtility), and the detail implementation of CARUtiliy is explained in the next section; 2) CARUtilityController replaces CARControllerA to respond to customized user inputs for creating, manipulating, visualizing, and archiving utilities.
BTS to review the qualitative component of the research design, develop detail implementation plan, provide training of supervisors in the field.
This report describes the system design, database details, implementation technologies, and it gives some detailed examples.
Detailed implementation procedures must also be developed, and everything must be reviewed by a competent legal advisor.
Detailed implementation of the scheme including majority logic to suppress single-event effects is presented.
Detailed implementation of the RRT approach and parameter selection are highlighted using comprehensive analysis and simulations.
Finally, we demonstrate the advantages of the biologically detailed implementation by using the model to connect behavioral and neurophysiological data.
Detailed implementation results (performance, code size, and FPGA resources utilization) are presented.
