<?xml version='1.0' encoding='UTF-8'?><rss version='2.0'><channel><title>Volume 1 Number 9 (December 2015)</title>
		<link>http://ijaems.com/</link>
		<description>Open Access international Journal to publish research paper</description>
		<language>en-us</language>
		<date>December 2015</date><item>
		<title>The Effectiveness of using a Non-Platinum Catalyst for a Proton Exchange Membrane Fuel Cell (PEMFC)</title>
		<description>The effectiveness of using a non-platinum material combination for a Proton Exchange Membrane Fuel Cell was studied. Three MEAs were characterized, two with a platinum catalyst loading of 0.1 mg/cm2 and 0.3 mg/cm2 and one with catalyst loading of 2 mg/cm2 of silver (Ag) particles on the anode side and a combination of 1.5 mg/cm2 Ag, 1.5mg/cm2 ruthenium and iridium oxide on the cathode side which was purchased from FuelCelletc in the USA. Hydrogen and oxygen was applied on either side of the non-platinum MEA to provide an additional test sample (MEA 4). The active area of the cell was 9 cm2. The performance of the Pt loaded PEMFC was characterized first to ensure the reliability of experimental setup and testing procedure. The tests were run at 0.5 bar at a temperature of 25 Â°C and 35 Â°C. Hydrogen and oxygen volume flow rates were varied between 19 â€“ 95 ml/min. The best open circuit voltage achieved for MEA 3 and 4 was 0.486 V and   0.34 V respectively. A maximum current density of 15x10-6 and 50x10-6 A/cm2 was achieved. The maximum power density found was 2.3x10-6 and 1.99x10-6 W/cm2. The identification of the particles size and dispersion was performed by scanning electron microscope.</description>
		<link>http://ijaems.com/detail/the-effectiveness-of-using-a-non-platinum-catalyst-for-a-proton-exchange-membrane-fuel-cell-pemfc/</link>
		<author>D J. Reddy, F. dâ€™Almaine</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/1451793995-1 IJAEMS-DEC-2015-1-The Effectiveness of using a Non-Platinum Catalyst for a Proton Exchange Membrane Fuel Cell (PEMFC).pdf</pdflink>
                
		</item><item>
		<title>Comprehensive Review of Huffman Encoding Technique for Image Compression</title>
		<description>The image processing is used in the every field of life. It is growing field and is used by large number of users.  The image processing is used in order to remove the problems present within the image. There are number of techniques which are suggested in order to improve the image. For this purpose image enhancement is commonly used. The space requirements associated with the image is also very important factor. The main aim of the various techniques of image processing is to decrease the space requirements of the image. The space requirements will be minimized by the use of compression techniques. Compression techniques are lossy and lossless in nature.  This paper will conduct a comprehensive survey of the lossless compression Huffman coding in detail.</description>
		<link>http://ijaems.com/detail/comprehensive-review-of-huffman-encoding-technique-for-image-compression/</link>
		<author>Sona Khanna,Suman Kumari  ,Tadir</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/1451793930-2 IJAEMS-DEC-2015-5-Comprehensive Review of Huffman Encoding Technique for Image Compression.pdf</pdflink>
                
		</item><item>
		<title>Microcontroller based Constant Voltage Maximum Power Point Tracking for Solar inverter applications</title>
		<description>Microcontroller based maximum power point tracking (MPPT) has been presented for single phase stand alone or grid connected solar inverter applications. The PV array consists of only 12V cell arrangement, thereafter, Discrete Comparator Circuit, The PIC microcontroller P16F676 controls the high power switching devices in the proposed MPPT scheme. The Constant Voltage (CV) algorithm continuously searches for the PV voltages in the rapidly changing weather conditions. The less pin and housing microcontroller does it all for the proposed Constant Voltage (CV) MPPT algorithm. The MPAB Simulation proves a very good agreement with the discrete comparator and switching devices for grid voltage, back-up battery charging and temporary load shedding operation. Therefore, until and unless MPPT voltages are in the operating region, the scheme allows grid voltage and back-up battery charging.</description>
		<link>http://ijaems.com/detail/microcontroller-based-constant-voltage-maximum-power-point-tracking-for-solar-inverter-applications/</link>
		<author>M. N. Islam, A. Rahman, H. Akhter, M. Begum, Y. Mawla,
K. Asaduzzaman, M. Hoq
</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/1451404441-3 IJAEMS-NOV-2015-9-Microcontroller based Constant Voltage Maximum Power Point Tracking for Solar inverter applications.pdf</pdflink>
                
		</item><item>
		<title>Realization of astrosat Model with Fused Deposition Modelling</title>
		<description>The current work focuses on the challenges faced while realizing the 3D Model of ASTROSAT using Fused Deposition Modelling (FDM) - A material extrusion based additive manufacturing technology.  Initially, the entire assembly of the ASTROSAT was studied and modified appropriately to suit the demonstration model. The modified assembly was scaled down to 1:6 scale. The scaled down model was then re-modified at the local subsystems (or individual component) level, according to the manufacturability through FDM and this was the major challenge faced due to constraint on minimum printable feature size. All the subsystems or individual components were converted to STL format and were printed on FORTUS 400MC of Stratasys. Thus obtained 3D printed parts were assembled as per the assembly drawing. It was found that, the FDM technology and Additive Manufacturing technology as a whole, is very useful in realizing the complicated demonstration modelsin a very short duration, without compromising the prominent engineering features.</description>
		<link>http://ijaems.com/detail/realization-of-astrosat-model-with-fused-deposition-modelling/</link>
		<author>Saurabh Gupta, KarumanchiViswanatha Sarma, Shridatta Dixit, Ravi Kumar K V, D VenkataGovinda Rao</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/1451532310-4 IJAEMS-DEC-2015-10-Realization of astrosat Model with Fused Deposition Modelling.pdf</pdflink>
                
		</item><item>
		<title>Isothermal Cylindrical Couette Flow Of Oldroyd 8-Constant Model Fluid Up To Second-order</title>
		<description>The steady flow of an incompressible Oldroyd 8-constant fluid in the annular region between two concentric cylinders, or so-called cylindrical Couette flow, is investigated. The inner cylinder rotates with an angular velocity   about its own axis, z-axis, while the outer cylinder is kept at rest. The viscoelasticity of the fluid is assumed to dominate the inertia such that the latter can be neglected in the momentum equation. An analytical solution is obtained through the expansion of the dynamical variables in power series of the dimensionless retardation time. The primary velocity term denotes the Newtonian rotation about the z-axis. The first-order is a vanishing term. The second-order results in a secondary flow represented by the stream-function. This second-order term is the viscoelastic contribution to the primary viscous flow. The second-order approximation depends on the four viscometric parameters of the fluid. </description>
		<link>http://ijaems.com/detail/isothermal-cylindrical-couette-flow-of-oldroyd-8-constant-model-fluid-up-to-second-order/</link>
		<author>Mostafa Y. Elbakry</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/1451565696-5 IJAEMS-DEC-2015-8-Isothermal Cylindrical Couette Flow Of Oldroyd 8-Constant Model Fluid Up To Second-order.pdf</pdflink>
                
		</item><item>
		<title>Automatic Detection of Brain Tumor using Novel Segmentation Method</title>
		<description>A new brain tumor detection system has been designed and developed. This work presents a new approach to the automated detection of brain tumor based on hybrid segmentation, which separate brain tumor from healthy tissues in magnetic resonance images. The magnetic resonance imaging has become a widely used method of high-quality medical imaging, especially in brain imaging where the soft-tissue contrast and non-invasiveness is a clear advantage. The magnetic resonance feature image used for the tumor detection consists of T2-weighted magnetic resonance images for each axial slice through the head. To remove the unwanted noises in the magnetic resonance image, bilateral filtering is used. Fast bounding box-based watershed segmentation algorithm is used to segment the images. The application of the proposed method for tracking tumor is demonstrated to help pathologists distinguish exactly tumor region. The results are quantitatively evaluated by a human expert. The average overlap metric, average precision and the average recall between the results obtained using the proposed approach and ground truth are 0.85, 0.80 and 0.97, respectively.</description>
		<link>http://ijaems.com/detail/automatic-detection-of-brain-tumor-using-novel-segmentation-method/</link>
		<author>Hema Rajini N</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/6ijaems-Hema Rajini N.pdf</pdflink>
                
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