333 research outputs found

    A STUDY ON MECHANICAL PROPERTIES OF CEMENT CONCRETE BY PARTIAL REPLACEMENT OF FINE AGGREGATES WITH BOTTOM ASH

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    Bottom Ash is a new waste material and abundantly available. It is a solid residue which falls into furnace bottom in modern large thermal power plants and constitutes about 20% of total ash content of the coal fed in the boilers. Direct use of this material with a large quantity, will provide a solution to dispose of this material, and the possibility as alternative materials in construction. The main objective of this research is to study the behavior of concrete mix which comprises of partial replacement of fine aggregates with bottom ash against plain concrete. The study was carried out using coal bottom ash as a partial replacement with fine aggregates in the concrete mix by 20%, 30%, 40%, and 50% by weight. The various strength properties studied consist of compressive strength, flexural strength and splitting tensile strength. The results shows that the compressive strength, split tensile strength and flexural strength decreased as the percentage of replacement of bottom ash increased as compared to plain concrete. It was observed that up to 20% replacement the results of compressive test, flexural test and split tensile test are approximately same as that of the controlled concrete

    An unusual case of metallic foreign body in the left knee: a rare case report

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    Foreign bodies in the knee joint are uncommon, particulary those not related to surgical procedures. We present a rare case of an intraosseous metallic foreign body penetrating the lateral femoral condyle at left knee causing pain, which was removed with complete resolution of the symptoms due to walking – running injury in a child

    Enhanced Gain Microstrip Patch Antenna for Wimax Applications

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    This paper proposes a rectangular shaped microstrip patch antenna with enhanced gain which is focused to be used for wimax applications.As today there is a growing demand of wimax technology,the objective of this project is to optimize the gain of antenna and thereby study the effects of antenna dimensions Length(L),Width(W) and substrate parmeters ,relative dielectric constant, substrate thickness on its performance.This project introduces a method using double layer with airgap to design antenna operating at 3.6GHz giving high performance in terms of gain and return loss.A microstrp probe feeding technique and moments based IE3D software will be used to design a microstrip patch antenna with enhanced gain

    AVAILABILITY OF MINERAL ELEMENTS IN AN EXOTIC WEED ALTERNANTHERA TENELLA COLLA VAR. TENELLA VELDK

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    Objectives To study mineral status of an exotic weed Alternanthera tenella colla var. tenella veldk.Methods Mineral analysis in the leaves was carried out by acid digestion method as described by Toth et al. (1948). Sodium and potassium wereestimated by flame photometer, Model-Elico, ch-22A. Remaining inorganic elements viz. calcium, potassium, magnesium, iron, manganese, zinc,copper, and cobalt were estimated by using Atomic Absorption Spectrophotometer, Perkin-Elmer, 3030 A.Result Potassium content of the leaves was high (4.11%) while nitrate content was very low (0.065%) with respect to major elements. In case ofminor elements manganese is present at higher concentration (190.75 ppm) while molybdenum in very less quantity (0.10 ppm).Conclusion This study reveals that leaves of A. tenella var. tenella may be used as supplementary diet to human as well as livestock.Keywords: Alternanthera tenella var. tenella, Exotic weed, Invasive alien, Mineral elements

    Data Compression Algorithm for Wireless Sensor Network

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    In use of wireless sensor network technology for environmental monitoring, the two main fundamental activities of wireless sensor network is data acquisition and data transmission. However, transmitting or receiving data are power consuming task. Wireless sensor network consists of a set of sensor nodes. The processing capacity varies with each node. Sensors in it have storage capacity which is limited. The main challenge today in this field is to improvise the power and energy management of sensor network. Different techniques have been introduced by various researchers. In order to reduce power consumption during transmission, we introduce data compression by processing information locally.             This paper presents the simulation results for RLE method for data compression. The MATLAB GUI model is employed to simulate the RLE method. The simulation result shows that the RLE method can effectively compress the data with minimum power consumption

    Antimicrobial activity of Abhraka Bhasma prepared with Gomutra, for evaluation of its broad spectrum activity

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    The utility of Ayurvedic science is to maintain the health and cure the diseases of patient. Rasaushadis are unique formulations, which are easily administered, assimilated and absorbed in the body and quick in action. Harmful micro-organisms are the world’s major causes of morbidity and mortality. Thus, in such instance Abhraka Bhasma and Gomutra both explained as “Krimihara” in classical texts. To ensure their property present study has been conducted

    Cyclostationarity Based Sonar Signal Processing

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    AbstractThis paper presents a reliable method for target vessel identification in passive sonar by exploiting the underlying periodicity of propeller noise signal, using the principles of cyclostationarity. In conventional signal processing methods, random signals are treated as statistically stationary and the parameters of the underlying physical mechanism that generates the signal would not vary in time. However, for most manmade signals, some parameters vary periodically with time and this requires that random signals be modeled as cyclostationary. In the field of sonar, the propeller noise signal generated by underwater vessels is cyclostationary. As a ship propagates in the sea, noise generated during the collapse of cavitation-induced bubbles are modulated by the rotating propeller shaft and this results in characteristic amplitude modulated random noise signal, which can be detected using passive sonar. Processing these signals, the number of blades and the shaft frequency of the propeller can be identified. In this work, cyclostationary processing technique is introduced for processing propeller noise signal and it is observed to provide better noise immunity. A detailed comparison with the conventional DEMON processing is also presented

    Mining Data Streams using Option Trees

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    Many organizations today have more than very large databases. The databases also grow without limit at a rate of several million records per day. Data streams are ubiquitous and have become an important research topic in the last two decades. Mining these continuous data streams brings unique opportunities, but also new challenges. For their predictive nonparametric analysis, Hoeffding-based trees are often a method of choice, which offers a possibility of any-time predictions. Although one of their main problems is the delay in learning progress due to the presence of equally discriminative attributes. Options are a natural way to deal with this problem. In this paper, Option trees which build upon regular trees is presented by adding splitting options in the internal nodes to improve accuracy, stability and reduce ambiguity. Adaptive Hoeffding option tree algorithm is reviewed and results based on accuracy and processing speed of algorithm under various memory limits is presented. The accuracy of Hoeffding Option tree is compared with Hoeffding trees and adaptive Hoeffding  option tree under circumstantial conditions. Keywords: data stream, hoeffding trees, option trees, adaptive hoeffding option trees, large database

    Design of suitable Magnitude Comparator Architecture for Big Data Analytics

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    In today’s digital era increasing use of portable devices forces electronic designer to concentrate on high speed and low power dissipation. As magnitude comparator is very basic arithmetic unit, to cope up with high speed and optimum power for big data, we need suitable magnitude comparator architecture, so this Paper presents different types of magnitude comparator architecture such as serial, parallel and tree structure. Proposed 64 bit magnitude comparator is designed with 1.8v voltage supply using in standard CMOS 180nm Technology using Cadence Virtuoso EDA tool. Simulation of all three architecture have been done using SPECTRE VIRTUOSO ADE tool
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