Sentence examples for schedules by using from inspiring English sources

The main objective in this study is to establish a framework for automating the generation of construction schedules by using data (e.g. spatial, geometric, quantity, relationship and material layer set information) stored in BIM.

Despite this wide variety in individual GC sensitivity, RA patients are mostly treated with standardized schedules, by using fixed GC dose and treatment duration, inevitably leading to under- or overtreatment in subsets of patients.

Then, we study the general aligned jobs and obtain an O(n2) algorithm to compute the optimal schedule by using the algorithm for the common arrival time case as a building block.

Moreover, we keep track of our daily schedule by using digital calendars and we use social media to share our experiences, opinions and emotions with our friends.

In such a large scenario, the search space gets too large for finding the global optimum transmission schedule by using a brute force algorithm.

The modern wireless systems such as WiMAX [2] and 3GPP LTE [3] actually exploit this frequency diversity as another dimension of multi-user scheduling, by using the well-known orthogonal frequency division multiple access (OFDMA) technique.

There is still space to increase VoIP capacity with dynamic scheduling by using transmit diversity in eNB and interference rejection combining (IRC) receiver in UE to further increase and reduce the amount of PDCCH resources required by UE. Figure 10 CDF of the number of PRBs scheduled per TTI (Macro Case 3). Figure 11 shows the CDF of experienced packet delay for VoIP user.

Scheduling by using this three step tactic holds a bonus benefit, too: You are making important decisions about the missions the night before, reducing decision fatigue while you are working on the MIM and providing more clarity.

A researcher not involved in patient recruitment or data collection will create the randomisation schedule by using the random number function in EXCEL.

This paper improves the general randomized scheduling method by using learning automata based framework that allows throughput optimal scheduling algorithms to be developed in a distributed fashion.

To overcome this limitation, we applied a so-called gain scheduling approach, by using a first set of PI gains to bring the system to the desired setpoint, and then switching to a set of larger gains to increase the controller sensitivity to small output deviations.