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Search Results: 1 - 10 of 2689 matches for " Prakash Om "
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Tracking of Non-Rigid Object in Complex Wavelet Domain  [PDF]
Om Prakash, Ashish Khare
Journal of Signal and Information Processing (JSIP) , 2011, DOI: 10.4236/jsip.2011.22014
Abstract: In this paper we have proposed an object tracking method using Dual Tree Complex Wavelet Transform (DTCxWT). The proposed method is capable of tracking the moving object in video sequences. The object is assumed to be deform-able under limit i.e. it may change its shape from one frame to another. The basic idea in the proposed method is to decompose the image into two components: a two dimensional motion and a two dimensional shape change. The motion component is factored out while the shape is explicitly represented by storing a sequence of two dimensional models. Each model corresponds to each image frame. The proposed method performs well when the change in the shape in the consecutive frames is small however the 2-D motion in consecutive frames may be large. The proposed algorithm is capable of handling the partial as well as full occlusion of the object.
Characterization of Groundwater Pollution Sources with Unknown Release Time History  [PDF]
Om Prakash, Bithin Datta
Journal of Water Resource and Protection (JWARP) , 2014, DOI: 10.4236/jwarp.2014.64036

Characterizations of unknown groundwater pollution sources in terms of source location, source flux release history and sources activity initiation times, from sparse observation concentration measurements are a challenging task. Optimization-based methods are often applied to solve groundwater pollution source characterization problem. These methods are effective only when the starting times of activity of the sources are precisely known, or the possible time window within which the sources activity actually start is known with a fair degree of certainty. However, in real life scenarios, the starting time of the activity of the sources is either unknown or can lie anywhere within a time window of years or decades. Absence of any prior information about the span of time window, within which the sources become active, makes existing source identification methodologies inefficient. As an alternative, an optimization-based source identification model is proposed, to simultaneously estimate source flux release history and sources activity initiation times. The method considers source flux release history and sources activity initiation times as explicit decision variables, optimally estimated by the decision model. Performance of the developed methodology is evaluated for an illustrative study area having multiple sources with different source activity initiation times, missing observation data and transient flow conditions. These evaluation results demonstrate the potential applicability of the proposed methodology and its capability to correctly estimate the unknown source flux releasing history and sources activity initiation times.

Green remediation of tetracyclines in soil-water systems  [PDF]
Om Prakash Bansal
Health (Health) , 2013, DOI: 10.4236/health.2013.512276

The presence of tetracyclines in soil and surface water is an emerging concern. The present study was undertaken to investigate remediation of tetracylines (tetracycline (TC), oxytetracycline (OTC) and chlortetracycline (CTC)) from aqueous solution using vetiver grass, water lettuce, and sunflower and root exudates of water lettuce, sunflower and from soil by tomato, Indian mustard and carrot plant. The data of this study denote that vetiver grass, water lettuce, sunflower remedy tetracyclines from water. The remediation % after 63 days of treatment was 87-61 for TC; 88-68 for OTC and 87-68 for CTC. The remediation of tetracyclines at lower concentration of antibiotics in presence of root exudates of water lettuce and sunflower was more than 99% and remediation was faster than water lettuce or sunflower. The remediation of tetracyclines from aqueous solution may be due to oxidation of-OH group(s) of tetracycline through a process that is thought to involve reactive oxygen intermediates and/or role of peroxidase enzyme. The plant crops viz., tomato, Indian mustard and carrot can remedy 41%-72% of amended tetracyclines. The maximum bioaccumulation of TC and CTC was in Indian mustard and OTC was maximally bioaccumulated in tomato.


Encapsulating the Role of Solution Response Space Roughness on Global Optimal Solution: Application in Identification of Unknown Groundwater Pollution Sources  [PDF]
Om Prakash, Bithin Datta
Open Journal of Optimization (OJOp) , 2014, DOI: 10.4236/ojop.2014.33004
Abstract: A major challenge of any optimization problem is to find the global optimum solution. In a multi-dimensional solution space which is highly non-linear, often the optimization algorithm gets trapped around some local optima. Optimal Identification of unknown groundwater pollution sources poses similar challenges. Optimization based methodology is often applied to identify the unknown source characteristics such as location and flux release history over time, in a polluted aquifer. Optimization based models for identification of these characteristics of unknown ground-water pollution sources rely on comparing the simulated effects of candidate solutions to the observed effects in terms of pollutant concentration at specified sparse spatiotemporal locations. The optimization model minimizes the difference between the observed pollutant concentration measurements and simulated pollutant concentration measurements. This essentially constitutes the objective function of the optimization model. However, the mathematical formulation of the objective function can significantly affect the accuracy of the results by altering the response contour of the solution space. In this study, two separate mathematical formulations of the objective function are compared for accuracy, by incorporating different scenarios of unknown groundwater pollution source identification problem. Simulated Annealing (SA) is used as the solution algorithm for the optimization model. Different mathematical formulations of the objective function for minimizing the difference between the observed and simulated pollutant concentration measurements show different levels of accuracy in source identification results. These evaluation results demonstrate the impact of objective function formulation on the optimal identification, and provide a basis for choosing an appropriate mathematical formulation for unknown pollution source identification in contaminated aquifers.
A Practical Solution for Location Estimation in Manually Deployed Wireless Sensor Networks  [PDF]
Om Prakash Sahu, Tarun Dubey
Wireless Sensor Network (WSN) , 2011, DOI: 10.4236/wsn.2011.34013
Abstract: This paper addresses the existing research and adds another aspect of functionality by incorporating pertinent sensor nodes to provide a dynamic location discovery and estimation. The software used provides an easy graphical user interface to visualize a particular location in accordance with geographical latitude and longitude. A simple real time location estimation technique is worked out for wireless sensor networks based on manual deployment of sensors. The proposed scheme finds more efficient solutions with less quantity of sensors as compared to existing deployment schemes. The set up is evaluated exclusively in real environments using IRIS sensor nodes supported by a global positioning system module to provide visualization of an outdoor location. The results are offered by Google Earth application.
Modeling and Analysis of a Single Species Population with Viral Infection in Polluted Environment  [PDF]
Sudipa Chauhan, Om Prakash Misra
Applied Mathematics (AM) , 2012, DOI: 10.4236/am.2012.36100
Abstract: In this paper, a mathematical model is proposed to study the effect of pollutant and virus induced disease on single species animal population and its essential mathematical features are analyzed. It is observed that the susceptible population does not vanish when it is only under the effect of infection but in the polluted environment, it can go to extinction. Also, it has been observed that the replication threshold obtained, increases on account of pollutant concentration consequently decreasing the susceptible population. Further persistence results for the proposed model are obtained and the condition for the existence of the Hopf-bifurcation is derived. Finally, numerical simulation in support of analytical results is carried out.
Measuring Effectiveness of Health Program Intervention in the Field  [PDF]
Om Prakash Singh, Santosh Kumar
Intelligent Information Management (IIM) , 2012, DOI: 10.4236/iim.2012.45029
Abstract: Improving and sustaining successful public health interventions relies increasingly on the ability to identify the key components of an intervention that are effective, to identify for whom the intervention is effective, and to identify under what conditions the intervention is effective. Bayesian probability an “advanced” experimental design framework of methodology is used in the study to develop a systematic tool that can assist health care managers and field workers in measuring effectiveness of health program intervention and systematically assess the components of programs to be applied to design program improvements and to advocate for resources. The study focuses on essential management elements of the health system that must be in place to ensure the effectiveness of IMNCI intervention. Early experiences with IMNCI implemented led to greater awareness of the need to improve drug delivery, support for effective planning and management at all levels and address issues related to the organization of work at health facilities. The efficacy of IMNCI program from the experience of experts and specialists working in the state is 0.67 and probability of effective- ness of all management components in the study is 58%. Overall the standard assessment tool used predicts success of around 39% for the IMNCI intervention implemented in current situation in Rajasthan. Training management component carried the highest weight-age of 21% with 73% probability of being effective in the state. Human resource management has weight-age of 13% with 53% probability of being effective in current scenario. Monitoring and evaluation carried a weight-age of 11% with only 33% probability of being effective. Operational planning carried a weight-age of 9% with 100% probability of being effectively managed. Supply management carried a weight-age of 8% with zero probability of being effective in the current field scenario. In the study, each question that received low score identifies it as a likely obstacle to the success of the health program. The health program should improve all sub-components with low scores to increase the likelihood of meeting its objectives. Public health interventions tend to be complex, programmatic and context dependent. The evaluation of evidence must distinguish between the fidelity of the evaluation process in detecting the success or failure of the intervention, and relative success or failure of the intervention itself. We advocate management attributes incorporation into criteria for appraising evidence on public health interventions. This
Effects of Thermal Diffusion and Chemical Reaction on MHD Flow of Dusty Visco-Elastic (Walter’s Liquid Model-B) Fluid  [PDF]
Om Prakash, Devendra Kumar, Y. K. Dwivedi
Journal of Electromagnetic Analysis and Applications (JEMAA) , 2010, DOI: 10.4236/jemaa.2010.210075
Abstract: The present note consists, the effects of thermal diffusion and chemical reaction on MHD flow of dusty viscous incom-pressible, electrically conducting fluid between two vertical heated, porous, parallel plates with heat source/sink. The plate temperature is raised linearly with time and concentration level near the plate to Cw. The variable temperature and uniform mass diffusion taking into account the chemical reaction of first order. The series solution method is used to solve the mathematical equations. Effects of various parameters like chemical reaction (K), thermal diffusion (ST) and magnetic field (M) etc. on velocity profile, skin friction, concentration profile and temperature field are displayed graphically and discussed numerically for different physical parameters. The analysis developed here for thermal diffusion, bears good agreement with real life problems.
A Feature Subset Selection Technique for High Dimensional Data Using Symmetric Uncertainty  [PDF]
Bharat Singh, Nidhi Kushwaha, Om Prakash Vyas
Journal of Data Analysis and Information Processing (JDAIP) , 2014, DOI: 10.4236/jdaip.2014.24012
Abstract: With the abundance of exceptionally High Dimensional data, feature selection has become an essential element in the Data Mining process. In this paper, we investigate the problem of efficient feature selection for classification on High Dimensional datasets. We present a novel filter based approach for feature selection that sorts out the features based on a score and then we measure the performance of four different Data Mining classification algorithms on the resulting data. In the proposed approach, we partition the sorted feature and search the important feature in forward manner as well as in reversed manner, while starting from first and last feature simultaneously in the sorted list. The proposed approach is highly scalable and effective as it parallelizes over both attribute and tuples simultaneously allowing us to evaluate many of potential features for High Dimensional datasets. The newly proposed framework for feature selection is experimentally shown to be very valuable with real and synthetic High Dimensional datasets which improve the precision of selected features. We have also tested it to measure classification accuracy against various feature selection process.
Generalized Multiparameters Fractional Variational Calculus
Om Prakash Agrawal
International Journal of Differential Equations , 2012, DOI: 10.1155/2012/521750
Abstract: This paper builds upon our recent paper on generalized fractional variational calculus (FVC). Here, we briefly review some of the fractional derivatives (FDs) that we considered in the past to develop FVC. We first introduce new one parameter generalized fractional derivatives (GFDs) which depend on two functions, and show that many of the one-parameter FDs considered in the past are special cases of the proposed GFDs. We develop several parts of FVC in terms of one parameter GFDs. We point out how many other parts could be developed using the properties of the one-parameter GFDs. Subsequently, we introduce two new two- and three-parameter GFDs. We introduce some of their properties, and discuss how they can be used to develop FVC. In addition, we indicate how these formulations could be used in various fields, and how the generalizations presented here can be further extended. 1. Introduction For over a century, many researchers have been in search for a fundamental law that can be used to describe the behavior of the nature. One law that comes very close to it is the universal law of extremum which states that the nature always behaves in a way such that some quantity is an extremum. A catenary takes a shape so that the total potential energy is minimum, light travels from a point to another so that the travel time is minimum, a particle in a flow takes a path of least resistance, and even in social settings, we behave so that our conflict with others within our conviction is minimum. Related laws, principles, and theories have been developed in almost every field of science, engineering, mathematics, biology, economics and social science. For example, applications of such laws, principles, and theories in continuum mechanics, classical and quantum mechanics, relativistic quantum mechanics, and electromagnetics could be found in [1–5] and many other textbooks, monographs, and papers. Opponent of the universal principle may argue that nature behaves in its own way, and the extremum principles are our creations where we design a functional that is extremum for the nature’s trajectory. Whatever may be the reality, the underlying theories have advanced our understanding of the nature tremendously. The field that deals with the mathematical theories of the extremum principles is known as the variational calculus. Excellent books have been written in this field, see for example [6, 7]. These books provide not only the foundations for theoretical work in the field, but they have also been a basis for many numerical techniques (see, [8, 9]). However, the
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