AAS - A Tool for Monitoring Trace Metals in Environment

Rapid industrialisation coupled with geochemical alter-ations posed a major threat to environment. Pollution of air, soil and water with both organics and inorganics is a matter of great concern, however, the non-degradable persistent trace metals are the most pressing problems of present decade. They are the most insidious pollutants because of their non-biodegradable nature and property to effect all forms of ecological systems. Owing to their toxicity and ill-effects on living being the present day scientists and researchers have developed interest in the amounts, origin and fate of certain elements. For example certain trace elements such as cadmium, chromium, mercury, lead and vanadium are of great concern because of their toxic effects on plants, animals and humans. Essential trace elements, such as chromium, vanadium, manganese. iron, cobalt, copper and zinc are indispensible for the growth and survival of mankind. From the point of view of toxicity metals can be classified according to the following three criteria: non-critical, toxic and very toxic. Classification of elements according to toxicity and availability is given in Table-1. The impact of heavy metal contamination in biosphere is slowly being reco-gnised as a potential Health Hazard not only to human beings but almost all the major industries are also affected by trace elements imbalances. For instance the presence of silica in boiler feed water at 30 to 1000 ppm level leads to appearance of scale forming silicates which reduces the heat transfer from boiler

Atomic Absorption Spectrometry - Present and Future

The development of analytical chemistry methods is mainly prompted by three aims: (a) an improvement of the power of detection (b) increase in analytical reliability in terms of freedom from systematic errors and optimal analytical precision, (c) and cost reduction

An Evaluate of Pattern Identification Programs and Its Strategies

At the moment existence, Pattern Recognition has turned into an essential idea from analyst perspective. It is utilized as a part of numerous applications like Speech acknowledgment, facade acknowledgment, Biometrics and numerous other moreover. This survey paper will clarify numerous applications and methodologies of the example acknowledgment. Primarily four sorts of methodologies measurable, layout, auxiliary and neural approach. Furthermore, promote factual approach order is likewise done

Instrumental Techniques for Chemical Analysis of Ferro-Alloys

Ferro-alloys are metallic addition agents used in iron and steel making to incorporate an alloying element into the molten material or to refine steel, for example by removal of oxygen and sulphur, in which case the alloying element is only to a minor extent incorporated in the steel. These additions are made to the ladle before the pouting into moulds. Most ferro-alloys are alloys of the main element (usually, 15-85%), with iron, hence the name. Sometimes ferro-alloy contain two or three alloying elements which act in different ways and there are also complex boron alloys in which titanium and aluminum can fix the oxygen and nitrogen in the steel bath so, that the boron may enter Solution and exert a metallurgical influence

Analysis of fuzzy logic controller based bi-directional DC-DC converter for battery energy management in hybrid solar/wind micro grid system

This paper proposes a fuzzy logic-based battery energy management system in hybrid renewable system. The novel topology consists of solar and wind energy system-based input sources and a battery bank to store the energy when in excess. The PV-Wind source is equipped with unidirectional boost converter whereas, the battery storage system is connected to the system with a bi-directional DC/DC converter. The main novelty of this research is the fuzzy logic-based battery management system which charges and discharges into the DC bus system based on the supply-load demand. The fuzzy logic controller (FLC) based maximum power point tracking (MPPT) is used in the PV and wind energy conversion system (WECS) to track the maximum available power for the different irradiance and wind velocity respectively. The obtained results are compared to conventional P&O MPPT control algorithm to find the effectiveness of the system. A 500 W PV system and a 500 W Permanent magnet synchronous generator (PMSG) based WECS is implemented for its simplicity and high efficiency. The proposed control topology is designed and tested using MATLAB/Simulin

Axigluons cannot explain the observed top quark forward-backward asymmetry

We study an SU(3)^2 axigluon model introduced by Frampton, Shu, and Wang to explain the recent Fermilab Tevatron observation of a significant positive enhancement in the top quark forward-backward asymmetry relative to standard model predictions. First, we demonstrate that data on neutral B_d-meson mixing excludes the region of model parameter space where the top asymmetry is predicted to be the largest. Keeping the gauge couplings below the critical value that would lead to fermion condensation imposes further limits at large axigluon mass, while precision electroweak constraints on the model are relatively mild. Furthermore, by considering an extension to an SU(3)^3 color group, we demonstrate that embedding the model in an extra-dimensional framework can only dilute the axigluon effect on the forward-backward asymmetry. We conclude that axigluon models are unlikely to be the source of the observed top quark asymmetry.Comment: 12 pages, 7 eps figures included. Minor changes to conform with published versio

Optimal Placement of TCSC Based on Sensitivity Analysis for Congestion Management

In a deregulated electricity market whenever congestion management problem occurs, the network collapse because of voltage instability. In this paper total real and reactive power loss deviation based sensitivity indexes (PLDS and QLDS) with rank co-relation concept, has been proposed for the optimal location and operating range of TCSC device. With this placement  the power flow in over loaded overhead lines has been reduced and that results in an increased loadability of the power system and also improves the voltage stability and security and also solves the congestion management problem. So ultimately, a more energy efficient transmission system is possible. The case studies were conducted on IEEE 14 bus test system. The ensue corroborate the intended approach for social welfare maximization inreal time

Regression Models For Prediction Of Water Quality In Krishna River

The River Krishna and its tributaries drain three important states of South India. The river water plays a very important role in the overall socioeconomic development of Andhra Pradesh.  In large river basins monitoring non-point sources pollution is rather difficult and expensive and is subjected to analytical errors. Hence, modeling water quality using land use data of the basin is attempted in the present study. The contribution from non-point sources (runoff from the river basin) is quiet considerable as the river drains various type of land uses. In this context, it is necessary to make a detailed study of the water quality of the river, to estimate the level of pollution and also main sources of pollution. Correlation studies explain the relationships, between dissolved solids concentration and land use of the basins. The multiple regression models accounted for significant variation in concentrations for majority of dissolved solids. The predicted concentrations are in good agreement with the observed values. The proposed models can be useful for planning land use controls in integrated water quality management program. As water quality of flowing water is closely linked to the land use in the basin, it is essential to include land use management in future river basin planning. Carefully designed land use studies to identify characterized and quantity of non point sources is essential elements to be emphasized to plan water quality management programme. The results of study indicate relative importance of non point sources pollution in addition to point sources pollution. Keywords: Dissolved solids, Land use planning , Regression models, Water quality