IEEE Transactions On Biomedical Engineering : Vol. 60, No. 5, May 2013

1. Quantifying the Interfibrillar Spacing and Fibrillar Orientation of the Aortic Extracellular Matrix Using Histology Image processing : Toward Multiscale Modeling 2. A 3-D Reconstruction Solution to Current Density Imaging Based on Acoustoelectric Effect by Deconvolution : A Simulation Study 3. Impact of Visual Features on the Segmentation of Gastroenterology Images Using Normalized Cuts 4. An Extended Dynamometer Setup to Improve the Accurary of Knee Joint Moment Assessment 5. The Dual Role of Paramagnetic Particles for Integrated Lysis and Measurement in a Rapid Immunoassay for Intracellular Proteins Etc

35 IOS Press Applying brain emotional learning algorithm for multivariable control of HVAC systems

Abstract. In this paper, we apply a modified version of Brain Emotional Learning (BEL) controller for Heating, Ventilating and Air Conditioning (HVAC) control system whose multivariable, nonlinear and non-minimum phase nature makes the task difficult. The proposed biologically-motivated algorithm achieves robust and satisfactory performance even though there are more than one control inputs to the plant, which may be used to get the desired performance. The response time is also very fast despite the fact that the control strategy is based on satisficing decision making. The proposed strategy is very flexible and alternative performance specifications can easily be enforced via defining proper emotional cues. Simulation results reveal the effectiveness of the approach

Mechanical, Durability, and Microstructure Assessment of Wastepaper Fiber-Reinforced Concrete Containing Metakaolin

This study evaluates the potential use of discarded plasterboard paper as fibers from buildings to reinforce concrete. Various concentrations of wastepaper fibers (0.5%, 1%, 1.5%, 2%, and 2.5% by weight of the binder) were investigated in this research. To mitigate the water absorption effect of the paper fibers, metakaolin was employed as a partial cement replacement. The results demonstrate that the inclusion of the wastepaper fiber enhances the mechanical and durability performance of the concrete. The optimal fiber proportion was identified as 1%, leading to a 29% increase in the compressive strength, a 38% increase in the splitting tensile strength, a 12% decrease in the water absorption, and a 23% decrease in the drying shrinkage with respect to the concrete containing 20% metakaolin. However, exceeding this optimal fiber content results in decreased mechanical and durability properties due to the fiber agglomeration and non-uniform fiber distribution within the concrete matrix. Based on the microstructural analysis, the improved performance of the concrete is ascribed to decreased porosity, more refined pore structure, and reduced propagation of microcracks within the concrete matrix in the presence of wastepaper fiber. According to the results, concrete containing 20% metakaolin and 1% wastepaper fiber exhibits durability and mechanical properties comparable to those of the traditional concrete. This finding highlights the significant promise of reducing dependency on conventional cement and incorporating suitable recycled materials, such as discarded plasterboard, and secondary by-products like metakaolin. Such a strategy encourages the preservation of resources, reduction in carbon dioxide emissions, and a decrease in the ecological footprint resulting from concrete production