Design of Manufacturing Layout using Craft Algorithm
A typical manufacturing plant has number of diverse activities interacting with each other. Facilities layout consists of the production areas and personnel areas within the building. Plant layout design is one of the strategic fields that determine the long run efficiency of operation. Facility Layout Problem involves the positioning of cells within a given area so as to minimize the material flow costs between cells. The Layout Design Problem is both tactically and strategically important since the layout plays a large role in determining the efficiency and flexibility of the manufacturing plant. Flexible Plant Layout algorithm is used to minimize the material handling cost and deal with the changes in future. In this project CRAFT (Computerized Relative Allocation of Facilities Technique) algorithm is used for designing of plant layout. CRAFT algorithm is one of the most developed and used algorithm for design or optimizing a facility layout which mainly emphasis on the material handling cost and the layout cost.
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Designing Association Models for Disease Prediction using Apriori
Data mining is has three major components Clustering or Classification, Association Rules and Sequence Analysis. Association rules used to find interesting relationship between attribute values. Sequence Analysis used to find statistically relevant patterns between data. Data mining techniques have led over various methods to gain knowledge from vast amount of data. Association rules are mainly used in mining transaction data to find interesting relationship between attribute values and also it is a main topic of data mining There is a great challenge in candidate generation for large data with low support threshold. Association rules will be effectively worked with the solid data and low support threshold was discussed. By using Apriori algorithm we applied association rules on data set of certain areas to predict the chance of getting the dengue disease, the above data set was collected from some selected areas, so it is the real time data. Three different sets of rules are generated with this dataset and applied the Apriori algorithm to it, find the relation between the parameters in database.
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Development of Different Metallic Bipolar plates for Proton Exchange Membrane (PEM) Fuel Cells: A review
Bipolar plates (BPs) are a key component of Proton Exchange Membrane (PEM) Fuel Cells with multifunctional character. They uniformly distribute fuel gas and air, conduct electrical current from cell to cell, remove heat from the active area, and prevent leakage of gases and coolant. Bi-Polar Plates also significantly contributes to the volume, weight and cost of Proton Exchange Membrane Fuel Cell stacks. Hence, there are vigorous efforts worldwide to find suitable materials for Bi-Polar Plates. The materials include non-porous graphite, coated metallic sheets, polymer composites, etc. This paper reviews various types of materials, in use and proposed, for Bi-Polar Plates and critically examines their physical and chemical properties.
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Development of Methodology for Design of Energy Efficient Compressed Air System with Case Study
In developing country like India, energy is most important to economical development of country thus energy sector plays an important role to increase in energy dependence and investment made on it. As we all know the compressed air generation consumes energy. Normally the compressed air system is an overlooked area in most of the industry but compressed air system is a costly source of energy about 7 to 10 times more expensive than electricity. Better methodology for design of energy efficient compressed air system, better maintaince practices and through energy efficiency measures can save the significant amount of energy of any industry. In this paper we have discussed the methodology for design of compressed air system for energy efficient compressed air system for industry. This paper also gives the comparative study of existing compressed air system of one industry with new optimized designed compressed air system for same industry using their specification.
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Effect of Depot-medroxyprogesterone acetate on the kidney of rat: A Histological Study
Endogenous natural progestins are essential for the initiation and maintenance of pregnancy but exogenous progestins and their derivatives may induce adverse effect on different organ. The kidney beinga vital and highly active organ is affected by most of the drugs. It’s the main organ responsible for excretion of the metabolic products of hormones. Therefore the present study aimed to evaluate the effect of injectable contraceptive, Depot-medroxyprogesterone acetate on the kidney of white albino rat. There was significant increase in the diameter of PCT, DCT, renal corpuscle, glomerulos, and Bowman’s space of experimental rat kidney. Hemorrhage was seen in cortical and medullary region with lymphocytic infiltration in Bowman’s space and necrosis of some renal corpuscles. The study concluded that the more the duration and dose of the DMPA severe the alternation in the histological architecture of kidney. Keywords:DMPA, PCT, DCT, Bowman’s space, hemorrhage. Introduction A contraceptive method is one which helps the women to avoid unwanted pregnancy resulting from coitus and there are many method of contraception but the ideal is one, which is safe effective, acceptable, reliable, and requires less medical supervision.1Several characteristics of injectable contraceptives have led to their widespread use as they provide a highly effective contraception that last for more than 2 month after a single dose of injection and they do not contain estrogen so, they are free from adverse effect of estrogen.2The only injectable contraceptive drugs currently available are Depot-medroxyprogesterone acetate and norethisterone enantate.3 Depot-medroxyprogesterone acetate (DMPA) is an aqueous suspension of medroxyprogesterone acetate (MPA), a synthetic analog of 17?-hydroxyprogesterone and variant of the human hormone progesterone.4This is also classified as sex hormone binding globulin(SHBG).5Depo -Provera, a microcrystalline suspension of medroxyprogesterone acetate (DMPA), is a long-acting, highly effective injectable contraceptive and one of the major means of family planning.6 The primary mechanism of action is the inhibition of gonadotropins hormone (FSH and LH) thus inhibition of ovulation.7 It alsoincreases the viscosity of cervical mucus, making the mucus less easily penetrable to sperm.8 The contraceptive mode is a depot injection containing 150 mg medroxyprogesterone acetate which is administered by intramuscular route at a plasma concentration of about 1ng/ml) given in the gluteal or deltoid muscle within first 5th day of menstruation.9 DMPA has been favored because it creates amenorrhea and reduces cycling in many patients while simultaneously serving as highly effective contraception which protects against the development of uterine fibroids.10 It has been used as a contraceptive agent by more than 68 million women in more than 114 countries worldwide.11 Unlike oral contraceptives, DMPA have been proven to be relatively safe and is free from the adverse effect of estrogen and furthermore, progestogens, unlike estrogens, do not suppress lactation, which is an important consideration for postpartum contraception where infant health is dependent upon breast-feeding.12 Evidence suggests that progestogen-only injectables are more cost-effective than the combined oral contraceptive (COC) pill even after 1 year of use.13 Endogenous natural progestins are essential for the initiation and maintenance of pregnancy but exogenous progestins
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Effects of Vehicular Traffic on Employee: A Case of Scacom Ghana Limited
Commuters in Accra, Tema and major cities of Ghana continue to suffer heavy vehicular traffic jams each working day, particularly during the peak hours, when most people travel to their work places or to school and back. Formal sector employees, including those from Scancom Ghana, are spared of the negative effects of this phenomenon which include loss of working time, lateness, commuting stress and fatigue among others. However, in order to avoid these negative effects of traffic jams mentioned earlier, some workers cut down on their sleep and get up very early to be able avoid the enormous traffic congestions. This also comes with loss of sleep and associated stress and fatigue. Similarly, some workers leave the office earlier than required to be able to “beat” the huge traffic congestion and reach home early. Through a survey, this study sought to find out how the traffic congestion in Accra and Tema affect employee productivity, particularly among workers who use the major streets to the Central Business Districts and Tema. Using employees of SCANCOM Ghana Ltd, the study also sought to evaluate workers’ views on the extent to which traffic congestions affect employee productivity. The study findings revealed that while majority of the respondents agreed that vehicular traffic congestions moderately or seriously affected employee productivity, they were still able to meet their daily work targets, their productivity was not affected by the traffic jams they encountered.
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Equation of state for superconductors based on finite strain theory under high pressure
We have reformulated equations of state (EOS) for superconductors based on Lagrangian and Eulerian strains following the method developed by Stacey. The expressions thus obtained are used conveniently to assess the validity of various EOS for different types of superconductors. The logarithmic EOS based on the Hencky measure of finite-strain is also modified by including the higher terms arising from the fourth-order contribution in the Taylor series expansion of the free energy. In the present work, pressure of five different superconductors viz. YBa2Cu3O6.6, YBa2Cu3O6.93, YBa2Cu3O7, Bi2Sr2CaCu2O8 and Nd1.32Sr0.41Ce0.27CuO3.96 has been computed at different compression ranges using five different EOS based on finite strain theory viz. Third order Eulerian EOS, Third order Lagrangian EOS, Second order Born-Mie EOS, Third order Born-Mie EOS and Bardeen EOS. the obtained results are compared with available experimental data to test the validity and success of these equation of states.
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Ethnicity, politics and national development
This article examines the historical development of ethnicity in the Nigerian political terrain. It posits that the distinguishing feature of Nigerian politics is the role played by ethnicity in staunting the task of national development. It argues that federalism in Nigeria is a farce, as the major ethnic nationalities monopolize political power for self interest. This ethnic consciousness heightened political competition at the centre resulting in the social, political, administrative and cultural maladies that bedevil Nigeria. it concludes that elites crude accumulation for personal wealth field crisis, instability and violence which affected national development efforts.
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Evaluation of artificial neural network and multiple regression model for Cd(II) sorption on activated carbons
A multi layer artificial neural network (ANN) and multiple regression (mathematical) models were developed for the investigation of cadmium removal efficiency of powered activated carbons of coconut oilcake, neem oilcake and commercial carbon. Levenberg-Marquardt (LM) Back-propagation algorithm is used to train the network. The network topology was optimized by varying number of hidden layers and number of neurons in hidden layers. The effective parameters on the removal of cadmium (%R) by adsorption process, which included the pH, contact time (T), distinctiveness of activated carbon (Cn), amount of activated carbon (Cw) and initial concentration of cadmium (Co) were investigated. The model was developed in terms of training; validation and testing of experimental data, the test subsets that each of them contains 60%, 20% and 20% of total experimental data, respectively. Standard deviation (SD) with respect to experimental output was calculated for outputs of ANN and regression model. The experimental data were best fitted with the artificial neural network model.
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Experimental Investigation of Direct Injection Compression Ignition Engine Fueled With Blends of Karanja Methyl Esters and Diesel
This paper deals with the study of the potential substitution of Karanja methyl ester blends for diesel as fuel for automobiles and other industrial purposes. The objective of this study is the analysis of the performance, combustion and emission characteristics of the karanja methyl esters and comparing with petroleum diesel. The tests were carried out on a 4.4 KW, single cylinder, direct injection, Air-cooled diesel engine. The results of investigations carried out in studying the fuel properties of karanja methyl ester (KME) and its blend with diesel fuel from 20 to 100% by volume and in running a diesel engine with these fuels. Engine tests have been carried out with the aim of obtaining comparative measures of Brake power, specific fuel consumption and emissions such as CO2, CO, HC, smoke density and NOx to evaluate and compute the behavior of the diesel engine running on above mentioned fuels. The reduction in exhaust emissions together with increase in brake power, brake thermal efficiency and reduction in specific fuel consumption make the blends of karanja esterified oil (B20) a suitable alternative fuel for diesel and could help in controlling air pollution.
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