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.
Rao Garige B.S.,Anurag Group of Institutions |
Keshetti S.,Satavahana University |
Rao Vattikuti U.M.,Cmr Group Of Institutions
Asian Journal of Chemistry | Year: 2016
This study assesses the analgesic and anti-inflammatory properties of methanolic extract of Galphimia glauca leaf using in vivo models. The dose range of 100, 200 and 400 mg/kg b.w was administered orally for assessing analgesic and anti-inflammatory activity respectively. Further studies were conducted for determining the involvement of central and peripheral receptor actions in the analgesic activity of the extract by pre-challenging it with naloxone and acetic acid respectively. The LD50 of the extract was found to be > 2000 mg/kg b.w. The leaf extract at 400 mg/kg dose exhibited significant (P ≤ 0.001) and dose-dependent analgesic activity. It also exhibited central and peripheral analgesic actions when treated with naloxone and acetic acid respectively. However, the extract of leaf has shown anti-inflammatory activity, which is not comparable to that of standard drug. The results revealed that the methanolic extract of Galphimia glauca leaf has potential in terms of analgesic properties. © 2016, Chemical Publishing Co. All rights reserved.
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.
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.
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.