In the present work, multi-response optimization of electro-discharge machining (EDM) process is carried out based on an experimental analysis of machining superalloy Inconel-718. The study aims at optimizing and determining an optimal set of process variables, namely discharge current (), pulse-on duration () and dielectric fluid-pressure () for achieving optimal machining performance in EDM. Nine independent experiments based on L9 orthogonal array are carried out by using tungsten as the electrode. The productivity performance of the EDM process is measured in terms of material removal rate (MRR) and its cost parameter is measured in terms of tool wear rate (TWR) and electrode wear rate (EWR). The TOPSIS is used in conjunction with five different criterion weight allocation strategies— (namely, mean weight (MW), standard deviation (SDV), entropy, analytic hierarchy process (AHP) and Fuzzy). While MW, SDV and entropy are based on the objective evaluation of the decision-maker (DM), the AHP can model the DM’s subjective evaluation. On the other hand, the uncertainty in the DM’s evaluation is analyzed by using the fuzzy weighing approach.

Cyber analytics focuses on increasing the safety and soundness of our digital infrastructure. The volume, size and velocity of these datasets make the analysis challenging on current work environments and tools. A cyber analytics work environment should enable multiple, simultaneous investigations and information foraging, as well as provide a solution space for organizing data. As such, various workflow visualization tools are used to help users track their analysis, reuse effective workflows, and test hypotheses. Also, the use of large display workspaces can provide new opportunities for improving visual analytics in cyber security. In this work, we present a prototype workspace for analysts where the analytic process is maintained in the workspace. Thus, we are able to present analysts with visual states of their data throughout the investigation, in which real-time changes can be made to any previous state, and analysts can backtrack through their investigation.

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