Monitoring the performance of incident response (IR) management is important input for improving the IR management system. A set of performance indicators, which assists monitoring in a proper way, is described regarding: the incident response management system; information security culture; number of incidents responded to; average time spent on responding; consequences of incidents; number of...

Monitoring services are an essential component of large-scale computing infrastructures due to providing information which can be used by humans as well as applications to closely follow the progress of computations, to evaluate the performance of ongoing computing, etc. However, the users are usually left alone with performance measurements as to the interpreting and detecting of execution fla...

The frontal eye fields (FEF) are thought to mediate response selection during oculomotor decision tasks. In addition, many FEF neurons have robust postsaccadic responses, but their role in postchoice evaluative processes (online performance monitoring) is only beginning to become apparent. Here we report error-related neural activity in FEF while monkeys performed a biased speed-categorization ...

Introduction Over the past few years, training load and performance in competition has continuously increased and is fraught with risk to result in the accumulation of fatiguing conditions. The coach determines training success by controlling boat speed, performance, power and soft parameters like stability of rowing technique, capacity to teamwork, and mood state. However, in team sports like ...

Error detection and correction are essential components of motor skill learning. These processes have been well characterized in cognitive psychology using electroencephalography (EEG) to record an event-related potential (ERP) called error-related negativity (ERN). However, it is unclear whether this ERP component is sensitive to the magnitude of the error made in a sensorimotor adaptation tas...

In this research, a new method is proposed to update system reliability based on data recorded by instruments and sensors installed on geotechnical systems to reduce uncertainties. The method is founded on Bayesian analysis and Monte Carlo simulation and is capable of estimating the functional relationship between the updated failure probability and the monitoring value. It is shown that as lon...

A method for analyzing the functional behavior and the performance of programs in distributed systems is presented. We use hybrid monitoring, a technique which combines advantages of both software monitoring and hardware monitoring. The paper contains a description of a hardware monitor and a software package (ZM4/SIMPLE) which make our concepts available to programmers, assisting them in debug...

Implementation of a Distributed Control System (DCS) provides for significant regulatory control benefits through improved control capabilities, increased system reliability, and in reducing overall maintenance costs. The DCS control and economic benefits are commonly supplemented through commissioning of advanced control applications, model-based predictive controllers, unit optimization, and ...