This brief paper presents a comprehensive data-driven distributed combined primary/secondary controller design method for microgrids. provides transient and steady-state performances, including power sharing voltage frequency restoration while guaranteeing stability fixed communication delays. Measured data are directly used design, no knowledge of the model structure or physical parameters gri...

Effective methods for feature and model structure selection are very important for data-driven modeling, data mining, and system identification tasks. This paper presents a new method for selecting important variables (regressors) in nonlinear (dynamic) models with mixed discrete (categorical, fuzzy) and continuous inputs and outputs. The proposed method applies fuzzy association rule mining. T...

User-driven specification of network information systems is required in many virtual professional communities, such as research networks. This paper introduces a method and an accompanying tool being developed to support the legitimate user-driven specification of network information systems. The need for method ontologies, organized in an ontological framework, is motivated. A key part of this...

An improved 3D method for colonic polyp segmentation was developed based on previous 2D method. The method is based on combination of 3D knowledge-guided intensity adjustment, fuzzy clustering, and dynamic deformable surfaces. After intensity adjustment and fuzzy clustering, a deformable surface is employed to locate the polyp boundaries. The surface is also dynamically maintained to preserve t...