The human brain’s intrinsic network architecture is organized to represent diverse cognitive task information

A set of distributed cognitive control networks are known to contribute to diverse cognitive demands, yet it is unclear how these networks gain this domain-general capacity. We hypothesized that this capacity is largely due to the particular organization of the human brain’s intrinsic network architecture. Specifically, we tested the possibility that each brain region’s domain generality is reflected in its level of global (hub-like) intrinsic connectivity, as well as its particular global connectivity topography. Consistent with prior work, we found that cognitive control networks exhibited domain generality, as they represented diverse task context information covering sensory, motor response, and logic rule domains. Supporting our hypothesis, we found that the level of global intrinsic connectivity (as estimated with task-free fMRI) was correlated with domain generality during tasks. Further, using a novel information fingerprint mapping approach, we found that each brain region’s unique cognitive rule response profile could be predicted based on its unique intrinsic connectivity pattern. Together these results suggest that the human brain’s intrinsic network architecture supports its ability to represent diverse cognitive task information, largely via the placement of cognitive control networks within the brain’s global network organization.

A Novel Self-Tuning Fuzzy Logic-Based PID Controllers for Two-Axis Gimbal Stabilization in a Missile Seeker

Tracking a target is an essential function of a seeker for missiles. The target tracking mechanism of a seeker consists of gimbals, mounted with gyroscopes, and an antenna or some other energy receiving devices such as radar, infrared (IR), or laser. Stabilization of such a gimbal is necessary for any guided missile to maintain the tracking device always pointing towards the target. For the stabilization of the gimbal system, several control methods have been employed for making the gimbal to follow an input rate command by eliminating all the gimbal disturbances. Here, a new self-tuning fuzzy logic-based proportional, integral, derivative (PID) controller is introduced for the stabilization of a two-axis gimbal for a manoeuvring guided missile. The proposed control method involves tuning the gains of the PID controller based on the fuzzy logic rule bases considering the missile body rotation. The performance of the stabilization loops has been verified through MATLAB simulations for fuzzy logic-based PID controller compared with the conventional PID controller. The simulation results show the response of the gimbal system with stabilization loops met the control requirements with fuzzy PID controllers but not with conventional PID controllers.

BIM-Enabled Asset Management Information Exchange

This study aims to enhance the information exchange of assets that consume energy from the BIM systems to the AM systems. The research design employs a participatory action research (PAR) approach where focus group is utilised to develop the information delivery manual (IDM), and prototyping approach is utilised to develop the MVD and the plug-in. To achieve the research aim, firstly, an IDM has been elaborated through the engagement of industry experts with the research team. Based on the IDM, model view concepts are developed and mapped to the IFC standard for exchange of building information models between two software applications. In addition, a Revit plug-in has been developed to add, construct, and export the required assets and pertinent properties for the exchange. Finally, rule types and checking scenarios have been coded and applied on the top of developed MVD to validate the consistency and accuracy of extracted models. Furthermore, a case study is conducted to evaluate the validation logic rule types applied on the top of the developed MVD.