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Search Results: 1 - 10 of 41 matches for " Srijith Mohanan "
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Application of High Tension Roll Separator for the Separation of Titanium Bearing Minerals: Process Modeling and Optimization  [PDF]
Srijith Mohanan, Sunil Kumar Tripathy, Y. Ramamurthy, C. Raghu Kumar
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2012, DOI: 10.4236/jmmce.2012.1110103
Abstract: The High Tension Roll Separator (HTRS) is one of the main electrostatic unit operations employed to separate titanium minerals like ilmenite, rutile and leucoxene which behave as conducting from zircon, sillimanite, garnet and monazite which behave as non-conducting minerals when a high potential difference is applied. Three process inputs, namely roll speed, feed material temperature and roll speed have been optimized. Experiments were conducted based on the Box- Behnken factorial design; the results were analyzed using response surface methodology (RSM). A new term, called Operational Quality Index (OQI) has been defined as a process output, which is maximized by quadratic programming, to obtain the optimum operating conditions. The maximum value of OQI obtained under the constraints of grade >96% and recovery >98% is 195.53, at the following operating conditions—Temperature: 102°C, Feed Rate: 1.75 tph and Roll Speed: 132 rpm. Under these conditions, the grade and recovery obtained are 96.6% and 98.9% respectively.
Model for Predicting End User Web Page Response Time
Sathya Narayanan Nagarajan,Srijith Ravikumar
Computer Science , 2012,
Abstract: Perceived responsiveness of a web page is one of the most important and least understood metrics of web page design, and is critical for attracting and maintaining a large audience. Web pages can be designed to meet performance SLAs early in the product lifecycle if there is a way to predict the apparent responsiveness of a particular page layout. Response time of a web page is largely influenced by page layout and various network characteristics. Since the network characteristics vary widely from country to country, accurately modeling and predicting the perceived responsiveness of a web page from the end user's perspective has traditionally proven very difficult. We propose a model for predicting end user web page response time based on web page, network, browser download and browser rendering characteristics. We start by understanding the key parameters that affect perceived response time. We then model each of these parameters individually using experimental tests and statistical techniques. Finally, we demonstrate the effectiveness of this model by conducting an experimental study with Yahoo! web pages in two countries and compare it with 3rd party measurement application.
Ranking Tweets Considering Trust and Relevance
Srijith Ravikumar,Raju Balakrishnan,Subbarao Kambhampati
Computer Science , 2012,
Abstract: The increasing popularity of Twitter and other microblogs makes improved trustworthiness and relevance assessment of microblogs evermore important. We propose a method of ranking of tweets considering trustworthiness and content based popularity. The analysis of trustworthiness and popularity exploits the implicit relationships between the tweets. We model microblog ecosystem as a three-layer graph consisting of : (i) users (ii) tweets and (iii) web pages. We propose to derive trust and popularity scores of entities in these three layers, and propagate the scores to tweets considering the inter-layer relations. Our preliminary evaluations show improvement in precision and trustworthiness over the baseline methods and acceptable computation timings.
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling
P. K. Srijith,P. Balamurugan,Shirish Shevade
Computer Science , 2014,
Abstract: Several machine learning problems arising in natural language processing can be modeled as a sequence labeling problem. We provide Gaussian process models based on pseudo-likelihood approximation to perform sequence labeling. Gaussian processes (GPs) provide a Bayesian approach to learning in a kernel based framework. The pseudo-likelihood model enables one to capture long range dependencies among the output components of the sequence without becoming computationally intractable. We use an efficient variational Gaussian approximation method to perform inference in the proposed model. We also provide an iterative algorithm which can effectively make use of the information from the neighboring labels to perform prediction. The ability to capture long range dependencies makes the proposed approach useful for a wide range of sequence labeling problems. Numerical experiments on some sequence labeling data sets demonstrate the usefulness of the proposed approach.
Performance Study of PID Controller and LQR Technique for Inverted Pendulum  [PDF]
Akhil Jose, Clint Augustine, Shinu Mohanan Malola, Keerthi Chacko
World Journal of Engineering and Technology (WJET) , 2015, DOI: 10.4236/wjet.2015.32008
Abstract: The inverted pendulum is a classic problem in dynamics and control theory and is widely used as a benchmark for testing control algorithms. It is unstable without control. The process is non linear and unstable with one input signal and several output signals. It is hence obvious that feedback of the state of the pendulum is needed to stabilize the pendulum. The aim of the study is to stabilize the pendulum such that the position of the carriage on the track is controlled quickly and accurately. The problem involves an arm, able to move horizontally in angular motion, and a pendulum, hinged to the arm at the bottom of its length such that the pendulum can move in the same plane as the arm. The conventional PID controller can be used for virtually any process condition. This makes elimination the offset of the proportional mode possible and still provides fast response. In this paper, we have modelled the system and studied conventional controller and LQR controller. It is observed that the LQR method works better compared to conventional controller.
MPFI gasoline engine combustion, performance and emission characteristics with LPG injection
Shankar K. S, Mohanan P
International Journal of Energy and Environment , 2011,
Abstract: The present work is aimed at the study of a four cylinder multipoint port fuel injection gasoline engine combustion, performance and emission characteristics which is retrofitted to run with LPG injection. The findings of the experiments suggest that higher thermal efficiency and therefore improved fuel economy can be obtained from SI engines running on LPG as opposed to gasoline. The cycle-by-cycle variation of IMEP with LPG combustion can be reduced by advancing the idle ignition timing. The results of the study at wide open throttle opening conditions indicate that there is an increase in the brake thermal efficiency with LPG use in the engine at higher operating speeds when compared to gasoline at the factory set idle ignition timing of 5o bTDC. The exhaust emissions of CO and HC have reduced considerably. But the NOX emission has increased considerably at elevated engine speeds with LPG fuel when compared to gasoline fuel operation. The results of LPG fuel operation at various idle ignition timings indicate that advancing the timing from 5o bTDC to 6o bTDC has resulted in increased brake thermal efficiency, and reduced emissions of CO and HC, compared to retarding the idle ignition timing to 4o bTDC and 3o bTDC. However advanced idle ignition timing has an adverse effect on NOX emissions as it increases further.
Generalization of Transitive Cayley Digraphs
Anil Kumar V.,Mohanan T.
Journal of Mathematics Research , 2012, DOI: 10.5539/jmr.v4n6p43
Abstract: This paper proves several extended theoretical results of transitive Cayley digraphs. Several generalization of transitive Cayley digraphs also have been provided. Moreover, various graph properties have been expressed in terms of algebraic properties. This did not attract much attention in the literature.
Self Managed Security Cell, a security model for the Internet of Things and Services
Pierre de Leusse,Panos Periorellis,Theo Dimitrakos,Srijith K. Nair
Computer Science , 2012, DOI: 10.1109/AFIN.2009.15
Abstract: The Internet of Things and Services is a rapidly growing concept that illustrates that the ever increasing amount of physical items of our daily life which become addressable through a network could be made more easily manageable and usable through the use of Services. This surge of exposed resources along with the level of privacy and value of the information they hold, together with the increase of their usage make for an augmentation in the number of the security threats and violation attempts that existing security systems do not appear robust enough to address. In this paper, the authors underline this increase in risk and identify the requirements for resources to be more resilient in this type of environment while keeping an important level of flexibility. In addition, the authors propose an architectural model of Self Managed Security Cell, which leverages on current knowledge in large scale security systems, information management and autonomous systems.
RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement
Srijith Ravikumar,Kartik Talamadupula,Raju Balakrishnan,Subbarao Kambhampati
Computer Science , 2013,
Abstract: The increasing popularity of Twitter renders improved trustworthiness and relevance assessment of tweets much more important for search. However, given the limitations on the size of tweets, it is hard to extract measures for ranking from the tweets' content alone. We present a novel ranking method, called RAProp, which combines two orthogonal measures of relevance and trustworthiness of a tweet. The first, called Feature Score, measures the trustworthiness of the source of the tweet. This is done by extracting features from a 3-layer twitter ecosystem, consisting of users, tweets and the pages referred to in the tweets. The second measure, called agreement analysis, estimates the trustworthiness of the content of the tweet, by analyzing how and whether the content is independently corroborated by other tweets. We view the candidate result set of tweets as the vertices of a graph, with the edges measuring the estimated agreement between each pair of tweets. The feature score is propagated over this agreement graph to compute the top-k tweets that have both trustworthy sources and independent corroboration. The evaluation of our method on 16 million tweets from the TREC 2011 Microblog Dataset shows that for top-30 precision we achieve 53% higher than current best performing method on the Dataset and over 300% over current Twitter Search. We also present a detailed internal empirical evaluation of RAProp in comparison to several alternative approaches proposed by us.
Fertility Pattern and Family Planning Practices in a Rural Area in Dakshina Kannada
Mohanan Padma,Kamath Asha,Sajjan BS
Indian Journal of Community Medicine , 2003,
Abstract:
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