Recent studies have shown that adaptively regulating the sampling rate results in significant reduction in computational resources in embedded software based control. Selecting a uniform sampling rate for a control loop is robust, but overtly pessimistic for sharing processors among multiple control loops. Fine grained regulation of periodicity achieves better resource utilization, but is hard ...

For many types of integrated circuits, accepting larger failure rates in computations can be used to improve energy efficiency. We study the performance of faulty implementations of certain deep neural networks based on pessimistic and optimistic models of the effect of hardware faults. After identifying the impact of hyperparameters such as the number of layers on robustness, we study the abil...

In this paper, a crew-scheduling problem has been formulated considering the daily assignment of a set of crew staff to their round-trips for all the public transports (e.g. train, bus or air bus) that will minimize the waiting times and total service times (including waiting times) of all crews separately. In this approach, the waiting times as well as the service times of crews have been take...

In this work we study the problem of QoS routing under inaccurate link state. In particular we compare the efficiency of different link cost functions in a realistic environment where the link state changes cannot be immediately communicated to all the nodes in the network. We also analyse the effects of predicting the present network state when a node must make a routing decision. For this pur...

the basic models of data envelopment analysis (dea) are designed in such a way that the values of input and output indicators should be identified and known in them. in other words, these models are not used to consider inaccurate, interval, fuzzy, judgment data. in this paper, the aim is to not only review the past researches about the efficiency of the units by interval data and represent the...

On account of the existence of uncertainty, DEA occasionally faces the situation of imprecise data, especially when a set of DMUs include missing data, ordinal data, interval data, stochastic data, or fuzzy data. Therefore, how to evaluate the efficiency of a set of DMUs in interval environments is a problem worth studying. In this paper, we discussed the new method for evaluation and ranking i...