Methodologies and Handling Techniques of Large-Scale Information in Decision Support Systems for Complex Missions

Abstract

Designing integrating systems for support, real-time monitoring, and executing of complex missions is challenging, since they often fail due to high levels of complexity and overwhelming volume of input data. Past attempts have resorted to “ad hoc” solutions, which face issues of being non-updatable, non-upgradable, and not applicable to similar missions, necessitating a complete redesign and reconstruction of the system. In the national defense and security sector, the impact of this reconstruction requirement leads to significant costs and delays. This study presents advanced methodologies for organizing large-scale datasets and handling complex operational procedures systematically, enhancing the capabilities of Decision Support Systems (DSSs). By introducing Complex Mission Support Systems (CMSSs), a novel SS sub-component, improved accuracy and effectiveness are achieved. The CMSS includes mission conceptualization, analysis, real-time monitoring, control dynamics, execution strategies, and simulations. These methods significantly aid engineers in developing DSSs that are highly user-friendly and operational, thanks to human-reasoning-centered design, increasing performance and efficiency. In summary, the systematic development of data cores that support complex processes creates an adaptable and adjustable framework in a wide range of diverse missions. This approach significantly enhances the overall sustainability and robustness of an integrated system.

A Novel Battery-Supplied AFE EEG Circuit Capable of Muscle Movement Artifact Suppression

“…Additionally, before implementing the simulation test, in this study, a realistic electronic model of the human brain and body is created that considers the factor of EMI from the external environment, in order to produce an accurate and mainly reproducible input signal to avoid the phenomenon of 'Garbage In, Garbage Out' (GIGO) during the evaluation of System. In the contemporary engineering terminology jargon, as presented in [51,52], GIGO is a concept that suggests that the quality of output in a system is determined by the quality of input. Incorrect input, such as incorrect data, can lead to incorrect output.…”