Fuzzy-TOPSIS for Appropriate Site Selection for Establishing a Thermal Power Plant

Thermal Power Plant (TPP) is one of those discoveries that have changed the daily life of everybody on the real world. Now TPP is playing a vital role in real world due to population growth, modernization of industrial sector and agricultural sections. To meet the demand of modern world regarding thermal power, expansion of TPP must be considered. The appropriateness of chose site for power plant influences the measure of created vitality, power plants processing, expense of power generation, temperate advancement, environment and transmission (loss of power). Accordingly, in site determination process for a TPP it is important to painstakingly think about the specialized issues, as well as its effect on nature's turf, economy and close neighborhood groups. The tried and true methodologies to TPP site determination have a tendency to be less successful in managing the loose or dubious nature of the phonetic appraisal. Under numerous circumstances, the qualities of the qualitative criteria are frequently loosely characterized for the decision-makers. To conquer this situation, Fuzzy Multi-Criteria Decision Making (FMCDM) methodology is proposed. In this reporting, we exhibit a multi-criteria choice making methodology for site determination of TPP under fractional or inadequate data. The proposed approach basically furnished in two steps. In step 1, we identify the criteria for site selection of TPP. In step 2, experts provide linguistic ratings as well as weights to the potential alternatives against the selected criteria. Fuzzy-TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is applied to generate aggregate scores selection of best alternative. Finally a case empirical research is adapted to fruitful the proposed approac

Perturbations of spiky strings in AdS3

Perturbations of a class of semiclassical spiky strings in three dimensional Anti-de Sitter (AdS) spacetime, are investigated using the well-known Jacobi equations for small, normal deformations of an embedded timelike surface. We show that the equation for the perturbation scalar which governs the behaviour of such small deformations, is a special case of the well-known Darboux-Treibich-Verdier (DTV) equation. The eigenvalues and eigensolutions of the DTV equation for our case are obtained by solving certain continued fractions numerically. These solutions are thereafter utilised to further demonstrate that there do exist finite perturbations of the AdS spiky strings. Our results therefore establish that the spiky string configurations in AdS3 are indeed stable against small fluctuations. Comments on future possibilities of work are included in conclusion.Comment: 22 pages, 18 figures, minor changes, to appear in JHE

Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification

As a huge number of satellites revolve around the earth, a great probability exists to observe and determine the change phenomena on the earth through the analysis of satellite images on a real-time basis. Therefore, classifying satellite images plays strong assistance in remote sensing communities for predicting tropical cyclones. In this article, a classification approach is proposed using Deep Convolutional Neural Network (DCNN), comprising numerous layers, which extract the features through a downsampling process for classifying satellite cloud images. DCNN is trained marvelously on cloud images with an impressive amount of prediction accuracy. Delivery time decreases for testing images, whereas prediction accuracy increases using an appropriate deep convolutional network with a huge number of training dataset instances. The satellite images are taken from the Meteorological & Oceanographic Satellite Data Archival Centre, the organization is responsible for availing satellite cloud images of India and its subcontinent. The proposed cloud image classification shows 94% prediction accuracy with the DCNN framework

Junior pre-school age children feelings experience enrichment by fine art actions

Obesity is an increasingly serious socioeconomic and clinical problem. Between 1/4 - 1/3 of population in the developed countries can be classified as obese. Four major etiological factors for development of obesity are genetic determinants, environmental factors, food intake and exercise. Obesity increases the risk of the development of various pathologic conditions including: insulin-resistant diabetes mellitus, cardiovascular disease, non-alcoholic fatty liver disease, endocrine problems, and certain forms of cancer. Thus, obesity is a negative determinant for longevity. In this review we provide broad overview of pathophysiology of obesity. We also discuss various available, and experimental therapeutic methods. We highlight functions of adipocytes including fat storing capacity and secretory activity resulting in numerous endocrine effects like leptin, IL-6, adiponectin, and resistin. The anti-obesity drugs are classified according to their primary action on energy balance. Major classes of these drugs are: appetite suppressants, inhibitors of fat absorption (i.e. orlistat), stimulators of thermogenesis and stimulators of fat mobilization. The appetite suppressants are further divided into noradrenergic agents, (i.e. phentermine, phendimetrazine, benzphetamine, diethylpropion), serotoninergic agents (i.e. dexfenfluramine), and mixed noradrenergic-serotoninergic agents (i.e. sibutramine). Thus, we highlight recent advances in the understanding of the central neural control of energy balance, current treatment strategies for obesity and the most promising targets for the development of novel anti-obesity drugs

Obesity: Pathophysiology and Clinical Management

Abstract: Obesity is a serious socioeconomic, and also increasingly clinical problem. Between �- 1 /3 of population in the developed countries can be classified as obese. Four major etiological factors for development of obesity are genetic determinants, environmental factors, food intake and exercise. O besity increases the risk of t he development of v arious pathologic conditions including: insulin-resistant diabetes mellitus, cardiovascular disease, non-alcoholic fatty liver disease, endocrine problems, and certain forms of cancer. Thus, obesity is a negative prognostic factor for longevity. In this review w e provide broad overview of pathophysiology of obesity w e also discuss various available, and experimental therapeutic methods. We also highlight functions of adipocytes including fat storing capacity and secretory activity resulting in numerous endocrine effects like leptin, IL-6, adiponectin, and resistin. The anti-obesity drugs are classified according to their primary action on energy balance. Major classes of these drugs are: appetite suppressants, inhibitors of fat absorption (i.e. orlistat), stimulators of thermogenesis and stimulators of fat mobilization. The appetite suppressants are further divided into noradrenergic agents, (i.e. phentermine, phendimetrazine, benzphetamine, diethylpropion), serotoninergic agents (i.e. dexfenfluramine), and mixed noradrenergic-serotoninergic agents (i.e. sibutramine). Thus, we highlight recent advances in the understanding of the central neural control of energy balance, current treatment strategies for obesity and the most promising targets for the development of novel anti-obesity drugs