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|1.||An Experimental study on the compressive strength of concrete by partial replacement of cement with sugarcane bagasse ash
Lavanya M.R, Sugumaran.B, Pradeep.T
Initiatives are emerging worldwide to strike a balance between the developments in infrastructure and prevention of the environment from contamination by reusing the industrial wastes. The feasibility of using sugarcane Bagasse Ash (SBA), a finely ground waste product from the sugarcane industry, as partial replacement for cement in conventional concrete is examined. The tests were conducted as per Bureau of Indian Standards (BIS) codes to evaluate the suitability of SBA for partial replacements up to 30% of cement with varying water cement (w/c) ratio .The physical properties of SBA were studied. Compressive strengths (7, 14 and 28 days) were determined. The results showed that the addition of sugarcane bagasse ash improves the strengths in all cases. The maximum strength increase happens at 15% with 0.35 w/c ratio. Keywords:–Concrete, Compressive Strength, Replacement, Sugarcane Bagasse Ash, Water cement (w/c) ratio.
|2.||High Performance BCD Adder-Subtractor Using Reversible Logic
G. Sree Lakshmi, Dinesh Alapati, Dr. Kaleem Fatima, Dr. B.K.Madhavi
Applications such as address generation, encoding, decoding, data shifting, etc are of primary importance in many computing and processing applications. Design of BCD adders and Subtractors therefore demands more attention and the advent of quantum computation and reversible logic, design and implementation of all sub-systems in reversible logic has received more attention. Moore's law in VLSI designs today is no more a simple reality, the device dimensions are shrinking exponentially and the circuit complexity is growing exponentially. Various low power design techniques are proposed and successfully achieved. Device scaling is limited by the power dissipation; and demands better power optimizations methods. Techniques like Energy recovery, Reversible Logic are becoming more and more prominent special optimization techniques in Low Power VLSI designs. Reversible logic opens tremendous avenues for power optimizations in the areas such as Quantum Computing, Nanotechnology, Sprintronics and Optical Computing. Reversibility plays an important role when energy efficient computations are to be designed. The objective of this work is to design a reversible BCD Adder/Subtractor that performs combined BCD addition and subtraction through a copying circuit and 2:1 vector MUX. The performance characteristics of the proposed design are shown in the form of Quantum cost, Garbage outputs. The performance characteristics analysis is carried out in Xilinx ISE design environment.
Keywords:–BCDAdder/Subtractor; 9's complementer; Copying circuit; 2:1vector MUX.
|3.||Hybrid Segmentation Method for Malignancy Detection Using Fuzzy-C-Means and Active Contour Model
Mrs.S.S.Sarmila, Dr.S.Naganadini Sujatha
Image segmentation is the first stage of processing in many practical computer vision systems. Development of segmentation algorithms has attracted considerable research interest, relatively little work has been published on the subject of their evaluation. Hence this paper enumerates and reviews mainly the image segmentation algorithms namely Fuzzy C means, Active Contour Model. The rapid progress in computerized medical image reconstruction, and the associated developments in analysis methods and computer-aided diagnosis, has propelled medical imaging into one of the most important sub-fields in scientific imaging. The proposed paper is an innovative frame work of hybrid segmentation technology with region based techniques and active contour models. The drawback of the parametric Active contour models is manual control points. But the proposed technology automatically assigned control points using Fuzzy-c-means clustering techniques. This approach is suitable for medical application like cancer cells for MRI, PET scan. Since the medical images are in very low contrast. Fuzzy-C-means gives the approximated boun dary from that the control points are randomly selected. This combined approach will give accurate result for especially cancer cell detection.
|4.||Economic Analysis of Hybrid Photovoltaic-Thermal (PVT) Integrated Solar Dryer
Sujata Nayak, Zeba Naaz, Pushpendra Yadav, Ruchi Chaudhary
In the post-harvesting technology, the mechanical drying of agricultural products is an energy consuming operation. Due to unavailability, shortages and high prices of fossil fuels, greater emphasis has been given to using solar energy sources. A solar dryer incorporating a directly coupled photovoltaic (PV) powered D.C. fan has been developed. The dryer has been designed to utilize forced air circulation without the use of external power supplies like grid electricity. The dryer has been coupled to a solar air heater having a sun-tracking facility and blackened surface of absorber for improved energy collection efficiency. For the fulfilling our purposes, a new PVT integrated solar dryer consisting of a solar air heater and a drying chamber with chimney was developed. This system can be used for drying various agricultural products like fruits and vegetables. In the present work, the experimental study has been conducted for the forced mode under no load and load conditions and a techno-economic analysis of hybrid PVT dryer has been carried out.
Key words:–Photovoltaic-thermal, Air heater, Solar dryer, Economic analysis
|5.|| Monitoring and Evaluating Land Cover Change in The Duhok City, Kurdistan Region-Iraq, by Using Remote Sensing and Gis
Yaseen Taha Mustafa, Rebar Tahseen Ali, Razwan Mohammed Saleh
The rapid urban development in the Duhok city since the 1990s has dramatically enhanced the potential impact of human activities. To identify and monitor this urban development effectively, remote sensing provides a viable source of data from which updated land cover information can be extracted efficiently and cheaply. In this study, three satellite datasets, Landsat Thematic Mapper (Landsat TM), and two Landsat Enhanced Thematic Mapper Plus (Landsat 7 ETM+), acquired during 1989, 2001 and 2012, respectively, were used to detect and evaluate Duhok's urban expansion. Two change detection techniques were tested to detect areas of change. The techniques considered were image differencing, and post-classification comparison. The land use/land cover (LULC) maps of the years 1989, 2001 and 2012 were produced and the changes were determined with significant accuracies. The simplicity of our methods and the minimal investment of time and money make incorporation of remotely sensed data into urban growth a potentially powerful tool for the urban planner/manager. Moreover, the understanding of the spatial and temporal dynamics of Duhok's urban expansion is the cornerstone for formulating a view about the future urban uses and for making the best use of the limited resources that are available.
Keywords:–Change detection, GIS, Remote sensing, Satellite images, Urban growth.
|6.||Adaptive Neuro-Fuzzy Inference System Based Modeling for Fibre Reinforced Polymer Jacketed HSC Columns
J.Saravanan, K.Suguna, P.N.Raghunath
The paper presents the results of a study on the performance of Glass Fibre Reinforced Polymer (GFRP) wrapped high strength concrete columns under uni-axial compression. The columns had slenderness ratios of 8, 16, 24 and 32. Three types of wrap materials (Chopped Strand Mat GFRP, Uni-Directional Cloth GFRP and Woven Roving GFRP) were used with 3 mm and 5 mm thicknesses. The columns were tested under monotonic axial compressive loading up to failure. The deflections and axial strain were noted for each load increment. The HSC columns with GFRP wrapping exhibited improved performance in terms of load and deformation capacity. Adaptive Neuro - Fuzzy Inference System (ANFIS) modeling has been proposed for predicting the performance parameters. A better correlation has been observed between the test results and those predicted through the proposed modeling.
Keywords:–ANFIS, Deformation, GFRP, High Strength Concrete, Strength, Stress
|7.||Design of Fuzzy Logic Controller for Humidity Control in Greenhouse
P. A. Saudagar, D. S. Dhote, K. D. Chinchkhede
In the present paper, a fuzzy logic controller is designed to control the humidity inside the greenhouse. This controller can handle two inputs, two outputs and 27 fuzzy rules, also the facility for monitoring the inside and outside humidity is provided. The internal humidity can be set by the user as per the need of the crop in the greenhouse in different seasons required during the lifecycle of the plant. The PWM outputs are generated to control the humidity according to the set point value.
Keywords:–FLC, Fuzzy Inference, Fuzzy Logic, Greenhouse, PWM
|8.||Network Modelling and Simulation for Scheduling Problems Under Restrictions in Invested Capital
Rui Fernandes, Carlos Pinho, Borges Gouveia
This study aims at providing solutions on scheduling problems under restrictions in capacity, invested capital value and number of stocking points. We will discuss some dynamic processes that managers must dominate to compete in today's marketplace, specifically network design and inventory management. The approach we present is based on an optimization model emphasizing the effect of market demand uncertainty and the relevant dimensions of network design. We present solutions that will enhance supply chain and the impact it has on the company's financial success, considering logistic and inventory costs. Overall, this study will explore the role of integrated communication on invested capital management, and the impact of the supply chain network design and inventory location. The challenge is also to reveal how supply chain leaders can increase the value to their companies under global solutions and sources of business profitability in a dynamic environment. Finally, we discuss the sensitivity of the results to changes in key parameters, including the unbalanced network capacities, number of stocking points, value restrictions and non-optimal values. Keywords:–scheduling, network modelling, market uncertainty, supply chain management
|9.||Adsorption of Metals from synthetic wastewater by plant material
Sonia Aggrawal, Kailash Daga, Vinod Vaishnav, Madan Lal
Industrial activities and mining operations have exposed man to the toxic effects of metals . Toxic metal compounds are frequently used in industrial processes and are widely distributed in the environment. Metals can be distinguished from other toxic pollutants, because these are non biodegradable, may undergo transformation, and can have a large environmental, public health, and economic impact. Zinc is an essential mineral, but too much is not beneficial. Adsorption technique is one of the most important technology for the treatment of polluted water from zinc , but seeking for the low-cost adsorbent is the target of this study. Removal of zinc was studied using adsorbent prepared from poly vinyl activated charcoal of Procopis cineria leaves (PVAC-PC). Batch adsorption experiments were performed by varying adsorbent dose, pH of the metal ion solution and contact time. Adsorption of zinc is highly pH dependent and the results indicate that the maximum removal took place in the pH range of 6 and initial concentration of 60 ppm . The adsorbent capacity was also studied the zinc adsorption followed both the Langmuir and Freundlich equation isotherms. Comprehensive characterization of parameters indicates that PVAC-PC to be an excellent material for adsorption of zinc ion to treat wastewater containing low concentration of the metal.
Keywords:–Wastewaters, Adsorption isotherms, Procopis cineria