Earticle

Rule base is one of the important key factors in design of fuzzy controller. The performance of the system is affected if nonlinear parameters are present in the system. This paper presents a method to select rule base size depending on the nonlinear parameters present in the system in parallel with robust sliding mode controller. The significance of the proposed method is tested on highly nonlinear second order system (robot manipulator) using modified rule bases. A criterion is developed for selection of rule base depending on amount of type of system: nonlinearity, multi input- multi output, time variant. The graphical and analytical results are given to show the importance of the proposed method.

In the era of stringent and dynamic business environment, it is crucial for organizations to foresee their clients’ delinquency behavior. Such environment and behavior create unreliable base for strategic planning and risk management. Business Analytics combines the business expertise and computer intelligence to assist the decision makers by predicting an individual's credit status. This empirical research aims to evaluate the performance of different Machine Learning algorithms for credit risk prediction with more focus on Random Forest Trees. Several experiments inspired by observation and literature illustrate the potentials of computer-based model in classifying a number of bank history records. However, enhanced classification outcomes require tuning the randomness and tree growing parameters of the Random Forests algorithm. The model based on Random Forest Trees overperformed most of the other models. Moreover, such a model has various advantages to business experts as the ability to help in understanding the relations between the analyzed attributes.

In this paper, the performance of one of the very crucial simulation parameter i.e. the carrier frequency have been evaluated for its different values by taking Binary Phase Shift Keying modulation in the WBAN channel model. The power profile for WBAN channel have been generated by using Rayleigh and Weibull distributions. The evaluation is done by calculating the value of Bit error rate for the given values of Signal to noise ratio at different carrier frequencies for BPSK. The graphs have also been plotted between bit error rate and signal to noise ratio.

Dynamic Relaxation (DR) method is presented for the analysis of geometrically linear laterally loaded, rectangular laminated plates. The analysis uses the Mindlin plate theory which accounts for transverse shear deformations. A computer program has been compiled. The convergence and accuracy of the DR solutions of isotropic, orthotropic, and laminated plates for elastic small deflection response are established by comparison with different exact and approximate solutions. The present Dynamic Relaxation (DR) method shows a good agreement with other analytical and numerical methods used in the verification scheme. It was found that: The convergence and accuracy of the DR solution is dependent on several factors which include boundary conditions, mesh size and type, fictitious densities, damping coefficients, time increment and applied load. Also, the DR small deflection program using uniform meshes can be employed in the analysis of different thicknesses for isotropic, orthotropic or laminated plates under uniform loads in a fairly good accuracy.

This study focuses on investigating the physical properties and use of lumampao bamboo as a substitute to wood constructional material. The development of lumampao bamboo may potentially bring some positive outcomes and contribute to relieving the deforestation issue. To be able to develop the lumampao bamboo potential either in Philippines or other countries, some tasks are still needed to do beforehand. One of the interesting insights in the study shows that the physical properties of lumampao bamboo may potentially become an alternative to wood constructional material under certain circumstances.

The present study is concerned with the removal of Manganese from aqueous solution by adsorption onto low cost adsorbent. Manganese oxide coated zeolite (MOCZ) and iron oxide coated zeolite (FOCZ) were investigated as an adsorbent for the removal of Mn2+. Batch adsorption experiments were performed as a function of pH, contact time and Mn concentration. The optimum conditions for maximum adsorption by MOCZ were attained at pH=7, Mn concentration of 5 mg/L and for FOCZ at pH=8, concentration of 4mg/L. Manganese detection was carried out by Inductive Coupled Plasma - Atomic Emission Spectroscopy (ICP-AES). Furthermore, Results showed that MOCZ had a good adsorption performance for the adsorption of Mn rather than FOCZ, the adsorption capacity of MOCZ was 0.21 mg/g at 15 min. Langmuir, Freundlich, isotherm models were selected to evaluate the adsorption of Mn. It was found that the Langmuir isotherm model with coefficients of determinations (R2) of 0.97 and 0.94, respectively, best fits the Mn adsorption onto absorbents. Finally, Obtained results from experiments prove that MOCZ is suitable for removal of manganese from water and it is comparable with FOCZ.