A Strength Pareto Evolutionary Algorithm 2 (SPEA 2) approach for solving the multi-objective Environmental / Economic Power Dispatch (EEPD) problem is presented in this paper. In the past fuel cost consumption minimization was the aim (a single objective function) of economic power dispatch problem. Since the clean air act amendments have been applied to reduce SO2 and NOX emissions from power plants, the utilities change their strategies in order to reduce pollution and atmospheric emission as well, adding emission minimization as other objective function made economic power dispatch (EPD) a multi-objective problem having conflicting objectives. SPEA2 is the improved version of SPEA with better fitness assignment, density estimation, and modified archive truncation. In addition fuzzy set theory is employed to extract the best compromise solution. Several optimization run of the proposed method are carried out on 3-units system and 6-units standard IEEE 30-bus test system. The results demonstrate the capabilities of the proposed method to generate well-distributed Pareto-optimal non-dominated feasible solutions in single run. The comparison with other multi-objective methods demonstrates the superiority of the proposed method.
Summary:
Background: Respiratory distress remains a major problem post adaptation and one of the most common reasons for admission of neonates to Intensive Care.
Objectives: To study the causes and short term outcomes of respiratory distress in full term neonates and its correlation to mode of delivery.
Patients and Methods: A cross sectional study was carried out on 100 full termoutborn neonates with respiratory distress admitted to Neonatal care unit of Children Welfare Teaching Hospital, Medical City, Baghdad from 1st of April to 31st of August 2011.
Results: Hundred full term neonateswerestudied, 66% were boys and 81% born by cesarean section (elective cesarean sectionin 62%). In both sexes, Transient TachypneaofNewbornan
Face detection is one of the important applications of biometric technology and image processing. Convolutional neural networks (CNN) have been successfully used with great results in the areas of image processing as well as pattern recognition. In the recent years, deep learning techniques specifically CNN techniques have achieved marvellous accuracy rates on face detection field. Therefore, this study provides a comprehensive analysis of face detection research and applications that use various CNN methods and algorithms. This paper presents ten of the most recent studies and illustrate the achieved performance of each method.
major goal of the next-generation wireless communication systems is the development of a reliable high-speed wireless communication system that supports high user mobility. They must focus on increasing the link throughput and the network capacity. In this paper a novel, spectral efficient system is proposed for generating and transmitting twodimensional (2-D) orthogonal frequency division multiplexing (OFDM) symbols through 2- D inter-symbol interference (ISI) channel. Instead of conventional data mapping techniques, discrete finite Radon transform (FRAT) is used as a data mapping technique due to the increased orthogonality offered. As a result, the proposed structure gives a significant improvement in bit error rate (BER) performance. Th
... Show MoreA numerical algorithm for solving linear and non-linear fractional differential equations is proposed based on the Bees algorithm and Chebyshev polynomials. The proposed algorithm was applied to a set of numerical examples. Faster results are obtained compared to the wavelet methods.
A genetic algorithm model coupled with artificial neural network model was developed to find the optimal values of upstream, downstream cutoff lengths, length of floor and length of downstream protection required for a hydraulic structure. These were obtained for a given maximum difference head, depth of impervious layer and degree of anisotropy. The objective function to be minimized was the cost function with relative cost coefficients for the different dimensions obtained. Constraints used were those that satisfy a factor of safety of 2 against uplift pressure failure and 3 against piping failure.
Different cases reaching 1200 were modeled and analyzed using geo-studio modeling, with different values of input variables. The soil wa
The non-specific response of immunity has developed as the initial barrier for human protection from invading pathogens, which comprises certain pathogen recognition receptors (PRR) for instance toll-like receptors (TLRs). Toll like receptor 2 (TLR 2) is capable of recognizing pathogen associated molecular patterns (PAMP) coded by Mycobacterium tuberculosis. To evaluate TLR 2 level in sera of pulmonary tuberculosis (TB) patients. About 120 subjects, involving 80 patients with pulmonary TB including 40 multiple drug resistance (MDR), 20 recently diagnosed pulmonary TB (RD) and 20 recurrent TB patients named as old cases (OC), in addition to 40 apparently healthy individuals were studied as control group. Sera from 68 TB patients
... Show MoreLet f and g be a self – maps of a rational exterior space . A natural number m is called a minimal coincidence period of maps f and g if f^m and g^m have a coincidence point which is not coincidence by any earlier iterates. This paper presents a complete description of the set of algebraic coincidence periods for self - maps of a rational exterior space which has rank 2 .