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Vijaya Kumar V.,Anurag Group of Institutions | Venkata Krishna V.,G.I.E.T
International Journal of Applied Engineering Research | Year: 2015

Abstract The Local Binary Pattern (LBP) is a very popular descriptor for texture analysis. Various methods of face recognition are derived based on LBP, which describes the local property significantly. The histogram methods based on entire LBP is a complex task. To overcome this Uniform Local Binary Pattern’s (ULBP) are proposed and ULBP’s are treated as fundamental property of LBP. The ULBP approach treated all Non-Uniform Local Binary Pattern’s (NULBP) into one miscellaneous label. Later the researchers proved that NULBP also contains a part of significant texture information. To address this, the present paper proposed the Prominent LBP (PLBP) which consists of the majority of the ULBP’s and some of the NULBP’s and treated the rest of them as Non-Prominent LBP (NPLBP). For this the PLBP used completely a new set of transitions other than ULBP. The present paper also derived Maximum PLBP (MPLBP), Smallest PLBP (SPLBP). The proposed PLBP approach is used for face recognition on Yale, Indian and American Telephone and Telegraph Company (AT&T) Olivetti Research Laboratory (ORL) databases with different combinations of neighboring pixels and radius. The results indicate that a good face recognition rate when compared to LBP and ULBP approaches. © Research India Publications.

Gnaneswara Rao N.,Vignan University | Vijaya Kumar V.,Anurag Group of Institutions
International Journal of Multimedia and Ubiquitous Engineering | Year: 2014

Content Based Image Retrieval (CBIR) has been the most significant area in the applications of Pattern recognition and Computer Vision for the last three decades. However, there are many open problems left unresolved. Among these, one of the current problems of CBIR is to obtain an effective Similarity Measure. The CBIR systems make use of Integrated Region Matching (IRM) to match segmented images which is computationally economic, but it is not a metric distance whereas systems that use Minimum Cost Region Matching (MiCRoM) as a similarity measure is a metric distance, but computationally expensive. In order to address the above problem, this paper has developed the Optimal Cost Region Matching (OCRM) similarity measure for region based image retrieval. The proposed OCRM uses the north-west corner rule of the Transportation problem that fulfills the monge property. The experiment carried out on 1000 color images taken from the Corel database that are compared with IRM, and MiCRoM similarity measures. © 2014 SERSC.

Padmaja D.L.,Anurag Group of Institutions | Vishnuvardhan B.,JNTUH College of Engineering
Proceedings - 6th International Advanced Computing Conference, IACC 2016 | Year: 2016

Feature Selection(FS) is an important step to enhance the classification accuracy. Using the lazy learning classification algorithm, the feature selection methods calculate relevancy to reduce the storage. Dimensionality reduction technique on scientific data is a popular area to understand the underlying scientific knowledge in a data set, resulted from scientific experiments. This paper presents a review and systematic comparative study of methods and techniques used in scientific data mining. The performances of the techniques are compared and a meaningful direction has been arrived. It is understood that there are several techniques such as Sequential Forward Selection(SFS), Sequential Floating Forward Selection(SFFS) and Random Subset Feature Selection (RSFS) etc., which are used to minimize the storage space of the scientific data set in combination of Nearest Neighbor classifier. The paper explains these approaches by identifying various dimensionality reduction techniques to improve the performance. © 2016 IEEE.

Rapolu K.,Kakatiya University | Sanka K.,Anurag Group of Institutions | Vemula P.K.,Kakatiya University | Aatipamula V.,Indian National Institute of Pharmaceutical Education and Research | And 2 more authors.
Drug Development and Industrial Pharmacy | Year: 2013

Context: One among many strategies to prolong gastric residence time and improve local effect of the metronidazole in stomach to eradicate Helicobacter pylori in the treatment of peptic ulcer was floating drug delivery system particularly effervescent gastroretentive tablets. Objective: The objective of this study was to prepare and evaluate, effervescent floating drug delivery system of a model drug, metronidazole. Methods: Effervescent floating drug delivery tablets were prepared by wet granulation method. A three-factor, three levels Box-Behnken design was adopted for the optimization. The selected independent variables were amount of hydroxypropyl methylcellulose K 15M (X1), sodium carboxy methylcellulose (X2) and NaHCO3 (X3). The dependent variables were floating lag time (YFLT), cumulative percentage of metronidazole released at 6th h (Y6) and cumulative percentage of metronidazole released at 12th h (Y12). Physical properties, drug content, in vitro floating lag time, total floating time and drug release behavior were assessed. Results: YFLT range was found to be from 1.02 to 12.07min. The ranges of other responses, Y6 and Y12 were 25.72±2.85 to 77.14±3.42 % and 65.47±1.25 to 99.65±2.28 %, respectively. Stability studies revealed that no significant change in in vitro floating lag time, total floating time and drug release behavior before and after storage. Conclusion: It can be concluded that a combination of hydroxypropyl methylcellulose K 15M, sodium carboxy methylcellulose and NaHCO3 can be used to increase the gastric residence time of the dosage form to improve local effect of metronidazole. © 2013 Informa Healthcare USA, Inc.

Bandi S.,Anurag Group of Institutions | Sanka K.,Anurag Group of Institutions | Bakshi V.,Anurag Group of Institutions
Journal of Microencapsulation | Year: 2016

Context: The oral delivery of risperidone encounters a number of problems, such as pH dependent solubility and low bioavailability, due to its lipophilicity and aqueous insolubility. Objective: To improve the solubility, dissolution and intestinal permeation thereby bioavailability of risperidone through a novel self-nanoemulsifying powder (SNEP) formulations. Materials and methods: Oleic acid, Tween® 20, PEG 600 and Aerosil® 200 were chosen as oil, surfactant, co-surfactant and carrier, respectively from solubility and emulsification studies. Ternary phase diagram was constructed to determine emulsifying region. Results and discussion: The Z-average and polydispersity Index of developed formulation was 83.1 nm and 0.306, respectively. Ex vivo permeation studies on isolated rat intestine indicated that the amount of risperidone permeated from SNEP formulation was increased around 4- and 1.8-fold than that of pure drug and marketed formulation, respectively. Conclusion: This developed SNEP formulations can be regarded as novel and commercially feasible alternative to the current risperidone formulations. © 2016 Informa UK Limited, trading as Taylor & Francis Group

Anand P.,Indian Institute of Chemical Technology | Rao M.B.,Anurag Group of Institutions | Venkateswarlu Ch.,Institute of Chemical Technology
ISA Transactions | Year: 2015

A novel multistage dynamic optimization strategy based on meta-heuristic tabu search (TS) is proposed and evaluated through sequential and simultaneous implementation procedures by applying it to a semi-batch styrene-acrylonitrile (SAN) copolymerization reactor. The adaptive memory and responsive exploration features of TS are exploited to design the dynamic optimization strategy and compute the optimal control policies for temperature and monomer addition rate so as to achieve the desired product quality parameters expressed in terms of single and multiple objectives. The dynamic optimization results of TS sequential and TS simultaneous implementation strategies are analyzed and compared with those of a conventional optimization technique based on iterative dynamic programming (IDP). The simulation results demonstrate the usefulness of TS for optimal control of transient dynamic systems. © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

Raj R.S.,Anurag Group of Institutions | Raju G.P.,Anurag Group of Institutions
International Conference on Computing and Communication Technologies, ICCCT 2014 | Year: 2014

Many tools and frameworks have been developed to process data on distributed data centers. MapReduce most prominent among such frameworks has emerged as a popular distributed data processing model for processing vast amount of data in parallel on large clusters of commodity machines. The JobTracker in MapReduce framework is responsible for both managing the cluster's resources and executing the MapReduce jobs, a constraint that limits scalability, resource utilization. YARN the next-generation execution layer for Hadoop splits processing and resource management capabilities of JobTracker into separate entities and eliminates the dependency of Hadoop on MapReduce. This new model is more isolated and scalable compared to MapReduce, providing improved features and functionality. This paper discusses the design of YARN and significant advantages over traditional MapReduce. © 2014 IEEE.

Deepika G.,Alagappa Chettiar College of Engineering And Technology | Rao K.S.,Anurag Group of Institutions
ARPN Journal of Engineering and Applied Sciences | Year: 2016

The design of a low power amplifier for recording EEG signals is presented. The low noise design techniques are used in this design to achieve low input referred noise that is near the theoretical limit of any amplifier using a differential pair as input stage. To record the neural spikes or local field potentials (LFP's) the amplifier's bandwidth can be adjusted. In order to reject common-mode and power supply noise differential input pair need to be included in the design. The amplifier achieved a gain of 53.7dB with a band width of 0.5Hz to1.1 kHz and input referred noise measured as 357 nVrms operated with a supply voltage of1.0V. The total power consumed is around 3.19μW. When configured to record neural signals the gain measured is 54.3 dB for a bandwidth of 100 Hz and the input referred noise is 1.04μ Vrms. The amplifier was implemented in 180nm technology and simulated using Cadence Virtuoso. © 2006-2016 Asian Research Publishing Network (ARPN).

Anand P.,Indian Institute of Chemical Technology | Venkateswarlu Ch.,Institute of Chemical Technology | Bhagvanth Rao M.,Anurag Group of Institutions
Asia-Pacific Journal of Chemical Engineering | Year: 2013

A multistage dynamic optimization methodology with sequential implementation procedure is proposed, and the evolutionary optimizing features of differential evolution (DE) are exploited to implement the methodology for optimal control of a semi-batch copolymerization reactor. DE is designed and implemented to determine the optimal control policies for monomer addition rate and reactor temperature to produce a polymer with the desired copolymer composition and molecular weight distribution. Further, a similar multistage dynamic optimization strategy based on iterative dynamic programming is used for optimal control of copolymerization reactor and to compare with DE. The results show the effectiveness of the DE-based multistage dynamic optimization strategy in determining the optimal control policies that yield the desired polymer product characteristics. © 2013 Curtin University of Technology and John Wiley & Sons, Ltd.

Rao V.S.,Anurag Group of Institutions | Babu L.A.,Anurag Group of Institutions | Raju R.S.,B.V.R.I.T
Journal of Applied Fluid Mechanics | Year: 2013

The objectives of the present study are to investigate the radiation effects on unsteady heat and mass transfer flow of a chemically reacting fluid past a semi-infinite vertical plate with viscous dissipation. The method of solution is applied using Finite element technique. Numerical results for the velocity, the temperature and the concentration are shown graphically for various flow parameters. The expressions for the skin-frication, Nusselt number and Sherwood number are obtained. The result shows that increased cooling (Gr>0) of the plate and the Eckert number leads to a rise in the velocity. Also, an increase in the Eckert number leads to an increase in the temperature, whereas increase in radiation lead to a decrease in the temperature distribution when the plate is being cooled.

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