Conditional Diagnosability of (n,k) -Star Graphs Under the PMC Model - 2018 PROJECT TITLE :Conditional Diagnosability of (n,k) -Star Graphs Under the PMC Model - 2018ABSTRACT:Fault diagnosis has played a major role in measuring the reliability of multiprocessor systems. The diagnosability of many well-known multiprocessor systems has been widely investigated. Conditional diagnosability could be a novel property of measuring diagnosability by adding a further condition that any fault set cannot contain all the neighbors of each node within the system. Several known structural properties of (n, k)-star graphs are exhibited. Based on these properties, we tend to investigate the conditional diagnosability of (n, k)-star graphs below the PMC model, and show that it's one) ?two/n? -one for n = four and k = 1, and a couple of) n + 3k - half dozen for two = k = n-three. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest On the Efficiency of FHE-Based Private Queries - 2018 Efficient Anonymous Message Submission - 2018