Design of FLC for high-angle-of-attack flight using adaptive evolutionary algorithm

In this paper, a new methodology of evolutionary computations - An Adaptive Evolutionary Algorithm (AEA) is proposed. AEA uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner in order to take merits of two different evolutionary computations : global search capability of GA and local search capability of ES. In the reproduction procedure, the proportions of the population by GA and ES are udaptively modulated according to the fitness. AEA is used for designing fuzzy logic controller (FLC) for a high-angle-of-attack flight system for a super-maneuverable version of F-18 aircraft. AEA is used to determine the membership functions and scaling factors of an FLC. The computer simulation results show that the FLC has met both robustness and performance requirements.     

A self-emulsifying omega-3 fatty acids delivery system for enhanced gastro-intestinal absorption in rats

Food Science and Biotechnology - Omega-3 fatty acids have many health benefits as they help to prevent and treat coronary artery disease, hypertension, diabetes mellitus, arthritis, and autoimmune...     

New formulas for predicting audible noise from overhead HVAC linesusing evolutionary computations

Audible noise (AN) produced by corona discharges from high voltage transmission lines is one of the more important considerations in line design. Therefore, line designers must predetermine the AN using prediction formulas. This paper presents the results of applying evolutionary computation techniques using AN data from lines throughout the world to develop new highly accurate formulas for predicting the A-weighted AN during heavy rain and stable rain from overhead AC lines. Calculated ANs using these new formulas and existing formulas are compared with measured data     

Object tracking for mobile robot based on intelligent method

This paper proposed the real-time tracking algorithm in the active camera system, which is based on the intelligent method. To separate the object from background, the similarity of the color is analyzed through the fuzzy inference engine. And after segmentation, the local difference method between the continuous images is used to track the moving object. The experiment is performed using the developed embedded camera system with an ARM processor. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Modeling of $V_{rm th}$ Shift in nand Flash-Memory Cell Device Considering Crosstalk and Short-Channel Effects

A threshold-voltage (V_th) shift of sub-100-nm NAND flash-memory cell transistors was modeled systematically, and the modeling was verified by comparing with the data from measurement and 3-D device simulation. The V_th shift of the NAND flash-memory cell was investigated by changing parameters such as gate length, width, drain voltage, dielectric material between cells, space between cells, lightly doped-drain depth, and adjacent-cell bias. The proposed model covers two dominant device physics: capacitance coupling effect between adjacent cells and short-channel effect. Our model showed an accurate prediction of the V_th shift of NAND flash-memory array and a good agreement with the data from simulation and measurement.