March 2011 Issue Vol.1 No.3
Power inverters are used to convert the D.C power produced by the solar
photovoltaic cell into AC. This paper presents a novel Adaptive Hysteresis Current Controller to
control the inverter, used in the solar photovoltaic cell. The proposed controller is capable of
reducing the total harmonic distortion and to provide constant switching frequency. The
mathematical model of Photovoltaic array is developed using the Newton’s method using the
parameter obtained from a commercial photovoltaic data sheet under variable weather
conditions, in which the effect of irradiance and temperature are considered. The modeled
Photovoltaic array is interfaced with DC-DC boost converter, AC-DC inverter and load. A DCDC
boost converter is used to step up the input DC voltage of the Photovoltaic array while the
DC-AC single-phase inverter converts the input DC comes from boost converter into AC. The
performance of the proposed controller of inverter is evaluated through MATLAB-Simulation.
The results obtained with the proposed algorithm are compared with those obtained when using
conventional fixed hysteresis current controller for single-phase photovoltaic inverter in terms of
THD and switching frequency.
Keywords: Photovoltaic cell, Adaptive hysteresis controller, Boost converter, Inverter.
Every project delivery involves significant amount of repeatable and replicable work, for example Customer Requirement Document(CRD), High Level Design(HLD), Low Level Design(LLD), Network Implementation Plan(NIP) and Network Ready For Use(NRFU) documentation. Repeatable work constitutes over 20% of the total transactional project efforts. Depending on the Service Contract the individual Network Consulting Engineer (NCE) may be responsible for network Prepare, Planning, Design, Implementation, Operation and Optimization (PPDIOO) . This may include remote or on-site: infrastructure design, implementation planning, proof-of-concept testing, network auditing/sizing, pre-configuration, deployment planning and acceptance of product in execution or advisory/assistance or support models. For this there is a large potential for automating the low intellect works and to provide more bandwidth for NCE for high value work . Since NCE works in all the phases of the project documentation there is a need for end to end flow of huge amount of information without any errors. There is a need to automate the generation of dynamic contents and to replicate the contents in all phase documents. The main intention is to reduce NCE hours for an organizational benefit. The aim of this paper is to introduce an innovative Plan Design Implement tool. The tool uses the business intelligence to auto generate the dynamic contents in the CRD, HLD, LLD and NIP documents.
Keywords: customer requirement document; intellect; template; Implementation plan; network ready for use;
Abstract: With phenomenal growth in wireless multimedia image communication, the issues need to handle are resource consumption and the quality of the image being transmitted in wireless channels. The resource consumptions indicated in most literatures are bandwidth and energy consumption. The strict constrains of wireless sensor networks (WSN) on individual sensor node’s resource brings great challenges to the information processing, especially in image capture sensor network. A Simple Wavelet Compression (SWC) processing of image coding is proposed to maximize compression and minimize energy cost in WSN. Most of the current work, utilize lossy image compression techniques to minimize the resource consumption. The lossy image compression technique reduces the size of the image to a great extent, however the quality of the image being reproduced needs appreciation. The proposed work presented, an improved polyomines lossless compression technique and efficient wavelet compression, both increases the quality of image at receiving end of the wireless communication by reducing the Peak to Signal Noise ratio and mean square error. Experimental simulation are carried out using JPEG images for evaluating the performance of the improved polyomines lossless compression compared to that of lossy image compression, which shows nearly 20% improvement in quality of image being reproduced on transmitted decompression. The simulation results showed that these approaches achieved significant energy savings without sacrificing the quality of the image reconstruction. Results show up to 80% reduction in the energy consumption achieved by our efficient wavelet compared to a nonenergy-aware one, with the guarantee for the image quality to be lower-bounded.
Keywords: Wireless communication,Image compression,Image quality
Abstract: This paper is an over view of 100 medicinal plants commonly used as dietary supplements for obesity found in Asian countries particularly in India, China, Taiwan, Korea and Africa. Synthetic drugs are effective but have potential harmful side effects. Nutraceuticals and herbal supplements are used by people worldwide to promote health, wellness, maintain weight and fight diseases. Our project is to formulate a nutraceutical product having antiobesity prepared in the form of fancy food items like estruded products , biscuits, noodles, etc and the PolyHerbal Formulation ( PHF) product is combined with base materials such as cereals, millets, pulses, and fibre rich products. The product evaluation can be done in animal models such as mice , rat, rabbits,chicks and human volunteers.Some of the phyto constituents such as inulin , pectin , flavonoids , saponins , tannins , dietary fibres , phytosterols/stanols , dietary carotenoids , polyphenols ,plant indoles , have potential hypolipidemic properties by different mechanisms such as reducing atherosclerosis by inhibiting platelet aggregation, increasing fibrinolysis , enhancing antioxidant activity, reducing serum lipids in general to lower cholesterol levels, controlling appetite, fat metabolism, adipocyte differentiation, fat absorption, energy metabolism, etc.The present study is to find out the antiobesity effects of few herbals such as Allium sativum ,Coriandrum sativum , Mentha arvensis, Camellia sinensis ,Foeniculum vulgare, Commiphora mukul, Zingiber officinale ,Nelumbo nucifera.
Keywords: Herbal supplements, hypolipidemic, antiobesity, anthropometric, metabolic syndrome, nutraceutical product.
Abstract: This paper introduces the processing of raw data from sensor nodes located at different places within the vicinity of header node. The middleware service of header node evaluates the assignment and requirement of each node that comes under its vicinity. Based on header node instructions each sensor node is in one of two modes: Active mode or Sleep mode. We have developed a software program to compute the essence of each node based on the raw information provided by each sensor node. If raw data of current sensor node is static at certain time interval or if the raw data of current sensor node is equal to the raw data of other sensor node, then the current node will be treated as qualified node to go to sleep for the time period of maxSleepTime. The proposed algorithm is well suited for military application or monitoring unmanned area.
Keywords: EMID, WSN, SleepWake Cycle.
Abstract: Machine locomotion using wheels, tracks or legs is common where as generating locomotion in a limbless, wheel less system is more challenging. Wheeled locomotion and legged locomotion have already been studied by many researchers in detail. On the contrary the limbless locomotion has drawn very limited degree of interest. In limbless locomotion (of a serpent) the cyclic changes in the body shape allow it to locomote. This paper considers the development of a hyper redundant un-tethered serpentine robot for implementation of various serpentine and non serpentine gaits. A highly optimized 3D model of the robot was prepared and exported to CAE environment for kinematic and dynamic analysis. Parameters so obtained through simulation were implemented on the robot for demonstration of serpentine locomotion.
Keywords: Serpentine Robot Locomotion, Hyper redundant, Mobile Robot.
Abstract: In this paper we propose a learning based iterative numerical method for computing a root of a non-linear equation of the form f(x) = 0 in the interval [a,b]. Lag based method through Hermite interpolation modeled root discovery approach is developed and demonstrated in this paper. The new method has been tested for a series of functions considered by several researchers. The numerical experiments show that the new method is effective and converges faster to a root with lesser number of iterations and lesser number of function evaluations.
Keywords: Bisection; Secant; Regula falsi; Newton; Steffensen’s; nonlinear equations; root finding; order of convergence; Hermite interpolation; iteration method
Search Engine spam is a web page or a portion of a web page which has been created with the intention of increasing its ranking in search engines. Web spamming refers to actions intended to mislead search engines and give some pages higher ranking than they deserve. Anyone who uses a search engine frequently has most likely encountered a high ranking page that consists of nothing more than a bunch of query keywords. These pages detract both from the user experience and from the quality of the search engine. Search engine spam is a webpage that has been designed to artificially inflating its search engine ranking. Recently this search engine spam has been increased dramatically and creates problem to the search engine and the web surfer. It degrades the search engine’s results, occupies more memory and consumes more time for creating indexes, and frustrates the user by giving irrelevant results. Search engines have tried many techniques to filter out these spam pages before they can appear on the query results page. In this paper, various ways of creating spam pages, a collection of current methods that are being used to detect spam, and a new approach to build a tool for spam detection that uses machine learning as a means for detecting spam. This new approach uses UCINET software and a series of content combined with a Support Vector Machine (SVM) Binary classifier to determine if a given webpage is spam. The link farm can identify based on degree, betweenness and Eigen vector value of link. The spam classifier makes use of the Wordnet word database and SVMLight tool to classify web documents as either spam or not spam. These features are not only related to quantitative data extracted from the Web pages, but also to qualitative properties, mainly of the page links.
Keywords: Search engine, PageRank, Spam, Content Spam, Link Farm, Classification