Worst-case response time analysis of hard real-time tasks under hierarchical fixed priority pre-emptive scheduling (H-FPPS) has been addressed in a number of papers. Based on an exact schedulability condition, we showed in [4] that the existing analysis can be improved for H-FPPS when deferrable servers are used. In this paper, we reconsider response time analysis and show that improvements are...

Techniques for error detection and fault tolerance for distributed real-time systems using fixed priority scheduling will be developed and studied. Specifically, techniques for node-level transient fault tolerance, and system-level replica determinism will be considered. Error detection and fault tolerance mechanisms will be implemented in a small real-time kernel and evaluated using both VHDL-...

Consider the problem of periodic task scheduling, in which we seek to minimize the total number of processors required to execute a set of tasks such that task deadlines are guaranteed by the Rate-Monotonic (or RM) algorithm on each processor. This problem was rst investigated by Dhall and Liu, and the previous lowest bound for the problem was 2.0. In this paper, an improved solution is given b...

Off-line scheduling and fixed priority scheduling (FPS) are often considered as complementing and incompatible paradigms. A number of industrial applications demand temporal properties (predictability, jitter constraints, end-to-end deadlines, etc.) that are typically achieved by using off-line scheduling. The rigid off-line scheduling schemes used, however, do not provide for flexibility. On t...

We propose a hybrid scheduling algorithm using deferred preemption with an online adjustment. Our approach is to prevent jobs from preempting one another until they have been promoted. We use the tasks’ Worst Case Response Time (WCRT) to determine when a promotion must occur in order to ensure safe execution. During execution, this promotion time is adjusted to extend nonpreemptive execution of...

‎in this paper‎, ‎we introduce $alpha$-$psi$-contractive mapping in partially ordered sets and construct fixed point theorems to solve a first-order ordinary differential equation by existence of its lower solution.

Current deep learning models are characterised by catastrophic forgetting of old knowledge when new classes. This poses a challenge in intelligent diagnosis systems where initially only training data limited number diseases available. In this case, updating the system with would inevitably downgrade its performance on previously learned diseases. Inspired process human brains, we propose Bayesi...

Gingival retraction or dilation is an important procedure in the fabrication of fixed prostheses. Quite often, the margins of these restorations are placed very close to the gingival margin, or even subgingivally, for aesthetic and functional reasons. Therefore, the operating surgeon must correctly record the prepared cervical finish line to enable adequate marginal integrity for the restoratio...