Web processing service integrated with mobile application to identify suitable grain storage facility location

Vinod Kumar Sharma,Vijaya Banu,K. Chandrasekar,Bimal K. Bhattacharya,M. V. R. Sesha Sai,V. Bhanumurthy 대한공간정보학회 2017 Spatial Information Research Vol.25 No.1

Heavy rains causing a flood like situation affect the grains stored in godowns. To save the grains from floods, they have to be transferred to safer places. Historical flood layers derived using the remote sensing data can be helpful in determining the safe place for transferring the grains from the flood affected godowns. Analyzing of satellite data for determining the safer locations needs specialized skills and GIS software’s. To overcome this, a web based information system, capable of organizing, hosting, and sharing of the flood layers and other spatial datasets as open geospatial consortium compatible web processing services is needed. For transferring the grains, the management must have the existing stock information of the flood affected godown as well as stock information of the godown where the grains are planned to be shifted. Mobile application, capable of reporting the stock information along with the godown location and ground photographs can be an efficient solution to do so. This paper presents work on web processing services integrated with mobile application using open source technologies to identify suitable grain godowns location.

Automatic procedures analyzing remote sensing data to minimize flood response time: a step towards National flood mapping service

Vinod Kumar Sharma,G. Srinivasa Rao,C. M. Bhatt,Abhinav Kumar Shukla,Ashish Kumar Mishra,V. Bhanumurthy 대한공간정보학회 2017 Spatial Information Research Vol.25 No.5

Value added flood products helps decision makers in an efficient relief and rescue operations. On time availability of flood products, may help decision makers, in early decision making. Indian monsoon causes floods in several Indian states at a time, every year. Mapping multiple states at a time needs lot of man power and expertise. Manual flood mapping process is a time consuming process. Automatic procedures, for delineating flood and generation of value added products from satellite images can reduce the critical time-span. In the present study, an attempt is made to automate the entire flood mapping chain. The prototype study, is demonstrated for the state of Assam and the modules developed are tested for the multiple flood events during the Brahmaputra floods of August–September, 2016. The modules are checked for each stage and their outputs are validated with those as derived from manual procedures. The study has demonstrated significant reduction in the turn out time for flood response, which is very important during rapid disaster response.

Densities and Speeds of Sound of <i>Jatropha curcas</i> Biodiesel + (C₄–C₅) Alkan-1-ol Binary Mixtures

Kumar, Satish,Sharma, Vinod Kumar,Lim, Wonsub,Cho, Jae Hyun,Moon, Il American Chemical Society 2012 Journal of chemical and engineering data Vol.57 No.8

<P>Densities (ρ<SUB>mix</SUB>) and speeds of sound (<I>u</I><SUB>mix</SUB>) for binary blends of <I>Jatropha curcas</I> biodiesel (1) + <I>n</I>-butanol or <I>n</I>-pentanol (2) were measured at <I>T</I> = (288.15 to 308.15) K and atmospheric pressure, over the entire composition range, with the help of a density and sound velocity meter (DSA 5000 M, Anton Paar). The density values were used to evaluate the excess molar volumes <I>V</I><SUB>mix</SUB><SUP>E</SUP>. The Redlich–Kister polynomial equation was adopted to compute and correlate the results, and a good agreement has been observed between experimental and calculated values. It has been observed that the ρ and <I>u</I> values of pure components and their binary blends decreased with respect to temperature. Further, results have been analyzed in terms of molecular forces functioning between biodiesel and alcohols.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jceaax/2012/jceaax.2012.57.issue-8/je300256m/production/images/medium/je-2012-00256m_0008.gif'></P>

Comparative Potential of Phenotypic, ISSR and SSR Markers for Characterization of Sesame (Sesamum indicum L.) Varieties from India

Vinod Kumar,Satyendra Nath Sharma 한국작물학회 2011 Journal of crop science and biotechnology Vol.14 No.3

The assessment of genetic diversity is a primary concern of plant breeders and germplasm curators for which morphological traits are internationally accepted descriptors but are often associated with limitations due to G x E interactions. Phenotypic, ISSR, and SSR markers were employed to determine the genetic diversity and relationships among 20 commercially cultivated sesame genotypes representing different geographical regions of India. A narrow range of genetic dissimilarity (0.01 - 0.12) with mixed clustering was observed using morphological descriptors. A total 279 band positions with 57% polymorphism was amplified by ISSR primers,whereas 36 allelic positions with 73% polymorphism were produced by SSR primers with 100% reproducibility. The ISSR primers with high discrimination power were identified producing genotype-specific bands and distinguishing all the sesame genotypes used in this study. A poor correlation and lack of perfect congruence between phenotypes and marker-based analysis was indicated by the UPGMA dendrogram and PCA analysis. Our results suggest that SSR and ISSR markers provide a powerful tool for genotype identification and establishment of genetic relationships among sesame genotypes. We recommend the use of molecular markers for testing,required for obtaining intellectual property rights, and also for the analysis of genotypic diversity among sesame varieties.

Comparative Potential of Phenotypic, ISSR and SSR Markers for Characterization of Sesame (Sesamum indicum L.) Varieties from India

Kumar, Vinod,Sharma, Satyendra Nath 한국작물학회 2011 Journal of crop science and biotechnology Vol.14 No.3

The assessment of genetic diversity is a primary concern of plant breeders and germplasm curators for which morphological traits are internationally accepted descriptors but are often associated with limitations due to G ${\times}$ E interactions. Phenotypic, ISSR, and SSR markers were employed to determine the genetic diversity and relationships among 20 commercially cultivated sesame genotypes representing different geographical regions of India. A narrow range of genetic dissimilarity (0.01 - 0.12) with mixed clustering was observed using morphological descriptors. A total 279 band positions with 57% polymorphism was amplified by ISSR primers, whereas 36 allelic positions with 73% polymorphism were produced by SSR primers with 100% reproducibility. The ISSR primers with high discrimination power were identified producing genotype-specific bands and distinguishing all the sesame genotypes used in this study. A poor correlation and lack of perfect congruence between phenotypes and marker-based analysis was indicated by the UPGMA dendrogram and PCA analysis. Our results suggest that SSR and ISSR markers provide a powerful tool for genotype identification and establishment of genetic relationships among sesame genotypes. We recommend the use of molecular markers for testing, required for obtaining intellectual property rights, and also for the analysis of genotypic diversity among sesame varieties.

Comparative Study to Measure the Performance of Commonly Used Machine Learning Algorithms in Diagnosis of Alzheimer's Disease

kumar, Neeraj,manhas, Jatinder,sharma, Vinod Korea Multimedia Society 2019 The journal of multimedia information system Vol.6 No.2

In machine learning, the performance of the system depends upon the nature of input data. The efficiency of the system improves when the behavior of the input data changes from un-normalized to normalized form. This paper experimentally demonstrated the performance of KNN, SVM, LDA and NB on Alzheimer's dataset. The dataset undertaken for the study consisted of 3 classes, i.e. Demented, Converted and Non-Demented. Analysis shows that LDA and NB gave an accuracy of 89.83% and 88.19% respectively in both the cases whereas the accuracy of KNN and SVM improved from 46.87% to 82.80% and 53.40% to 88.75% respectively when input data changed from un-normalized to normalized state. From the above results it was observed that KNN and SVM show significant improvement in classification accuracy on normalized data as compared to un-normalized data, whereas LDA and NB reflect no such change in their performance.

Nanocomposite pectin Zr(IV) selenotungstophosphate for adsorptional/photocatalytic remediation of methylene blue and malachite green dyes from aqueous system

Vinod Kumar Gupta,Gaurav Sharma,Deepak Pathania,N.C. Kothiyal 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1

A pectin zirconium (IV) selenotungstophosphate (Pc/ZSWP) nanocomposite was prepared via sol–gelmethod. The material was characterized using different techniques such as FTIR, SEM and TEM. Theadsorptional/photocatalytic activity of Pc/ZSWP was investigated for the removal of methylene blue andmalachite green dyes in two different conditions. It was revealed that the synergistic adsorptional/photocatalytic degradation of dyes was more efficient than mere adsorption in dark followed byphotocatalysis. The photocatalytic degradation percentage of MB and MG dyes onto Pc/ZSWPnanocomposite was found out to be 89.21 and 79.27% in 3 h of photo irradiation which is higherthan for adsorption in dark followed by photocatalysis. The antimicrobial activity of Pc/ZSWP was alsoascertained against Escherichia coli.

An Insight of Nanomaterials in Tissue Engineering from Fabrication to Applications

Sharma Ritika,Kumar Sanjeev,Bhawna,Gupta Akanksha,Dheer Neelu,Jain Pallavi,Singh Prashant,Kumar Vinod 한국조직공학과 재생의학회 2022 조직공학과 재생의학 Vol.19 No.5

Tissue engineering is a research domain that deals with the growth of various kinds of tissues with the help of synthetic composites. With the culmination of nanotechnology and bioengineering, tissue engineering has emerged as an exciting domain. Recent literature describes its various applications in biomedical and biological sciences, such as facilitating the growth of tissue and organs, gene delivery, biosensor-based detection, etc. It deals with the development of biomimetics to repair, restore, maintain and amplify or strengthen several biological functions at the level of tissue and organs. Herein, the synthesis of nanocomposites based on polymers, along with their classification as conductive hydrogels and bioscaffolds, is comprehensively discussed. Furthermore, their implementation in numerous tissue engineering and regenerative medicine applications is also described. The limitations of tissue engineering are also discussed here. The present review highlights and summarizes the latest progress in the tissue engineering domain directed at functionalized nanomaterials.

A Simple and Non-destructive Method of Direct-PCR for Plant Systems

R. Sharma,Vinod Kumar,T. Mohapatra,Vikas Khandelwal,Govind K. Vyas 한국식물학회 2012 Journal of Plant Biology Vol.55 No.2

To date, PCR is a fundamental tool for most of the research concerning plant diversity analysis, marker-assisted selection, genetic purity testing, disease diagnostics, and transgene analysis. In all of these analyses, good-quality DNA serves as a template for amplification of target sequences. Extraction of good-quality DNA requires many steps, making the whole process time consuming, tedious,labor intensive, and expensive due to costlier and toxic chemicals. To overcome these preparatory steps from PCRbased DNA amplification, we have developed a direct-PCR amplification method for plants without isolating DNA. The method is unique and beneficial over some previously described methods of direct-PCR which fail due to inefficient amplification of target DNA in the presence of PCR inhibitors and crop specificity. Moreover, such methods are non-specific and, being destructive, cannot be replicated; one cannot completely rely on them due to lack of reproducibility. This method was streamlined from our earlier observation that alcohol-desiccated tissues maintain intact DNA for a long time. This method is specific, rapid, and, being nondestructive,allows replication, giving advantages over existing methods. The method was tested over a wide range of plant species and found very effective and quick in generating data. The method was successfully used to test the genetic purity of pearl millet hybrid (RHB-127) and its restorer (RIB 3135-18) and CMS line (ICMA 93333A). Our method is especially important for developing inexpensive and high-throughput non-invasive genetic analyses.

An approach for quantification of friction and enhancing the process efficiency during polishing of optical glass

Raj Kumar Pal,Rohit Sharma,Prabhat Kumar Baghel,Harry Garg,Vinod Karar 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.8

Quantification of friction may provide insights into the material removal behavior of polishing process. In this study, frictional force at the workpiece-polisher interface is measured using customised instrumentation setup (miniature load cell: 0-25 lbf) at different combinations of process parameters during polishing of BK7 optical glass. It is observed that frictional force varies with polishing time and is also a function of process parameters. It is observed that friction coefficient (~0.1) indicates the ductile material removal from the workpiece surface while friction coefficient (~0.3) indicates ductile cum brittle fracture behavior, which is also verified through surface texture observed through optical interferometer. Friction coefficient indicates that workpiece and polisher surfaces are in solid-solid contact mode. Hence, mechanical actions are dominant over chemical actions in removing the material from workpiece surface. Further variation of surface parameters w.r.t. wear index is estimated and way to enhance the polishing process efficiency is suggested.