98 research outputs found
Stochastic numerical approximation approaches for estimation of traffic volume under travel demand uncertainties
Get PDFThe traditional deterministic process of trip assignment does not account for uncertainties in traffic demands. These point-estimate based solutions often results in large differences between forecasted and actual traffic volumes thereby imposing huge financial burdens upon development agencies. In this work, stochastic treatment has been given to the trip assignment problem, specifically the network user equilibrium problem solved using the variational inequality method, under demand uncertainties modeled as random inputs. Smolyak sparse grid interpolation technique was successfully applied to the problem and compared to Monte Carlo sampling. Performance of constructed interpolant was evaluated through output distribution recovery , statistical moment estimation, and computation time comparisons. Ability of sparse grid to efficiently handle demand uncertainties using as many as 5 times fewer points than Monte Carlo sampling in pragmatically sized transportation networks was demonstrated.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-08-01The student, Kumar Neelotpal Shukla, accepted the attached license on 2017-07-18 at 10:41.The student, Kumar Neelotpal Shukla, submitted this Thesis for approval on 2017-07-18 at 12:01.This Thesis was approved for publication on 2017-07-19 at 08:54.DSpace SAF Submission Ingestion Package generated from Vireo submission #11510 on 2018-03-02 at 13:02:29Made available in DSpace on 2018-03-02T19:59:44Z (GMT). No. of bitstreams: 3
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Steganography for Invisible Communication: A Review
No full textSteganography is the science and art of embedding secret messages in innocuous looking carriers in such a way that it does not draw the attention of anyone other than the sender and the targeted recipient, thus a method for secret and invisible communication which provides security through obscurity. Its main purpose is to hide the occurrence of communication over a public channel. Steganography has been used since ancient times and has grown exponentially in the recent past because of the improvements in computing power. Earlier, steganography was implemented using some physical medium i.e. some tangible objects but now a days, it is implemented electronically by using several other intangible objects i.e. data can be hidden using any type of media, be it image in bmp, jpeg, gif format or some music file, video clip, text file, SMS etc. In this paper, different types of techniques used to hide data have been discussed with major focus on image based modern steg-anographic techniques
A Hybrid Approach for Handwritten Devanagari Numerals Recognition Using HOG Algorithm and K-NN Classifier
No full textM.Tech.Character Recognition has become fascinating research area over a last few decades.
Reading handwritten characters is easy task for human but it is difficult task for
machines. Optical Character Recognition (OCR) System is used to recognize
handwritten and printed characters. A lot of work has been done on English
characters but these days Indian scripts have become interesting research area.
Devanagari is one of them. In the present study, an effort is given for handwritten
Devanagari numerals recognition. Many approaches have been developed in the field
of character recognition but still it remains challenging work for researchers. In
Recognition Process, Neural network is used as basic technique in most of the
approaches. A lot of training and large computations are required in these approaches.
So, an effort is done by author to make an easy hybrid approach for handwritten
Devanagari numerals recognition (HDNR). This comes under the category of Offline
recognition process. In proposed approach, various techniques such as binarization,
filtering, smoothing, normalization and thinning are used in preprocessing stage.
Bounding box is used for segmentation. Feature extraction is main portion of OCR
system because accuracy is mostly based on extracted features. Here Histogram of
Oriented Gradients (HOG) algorithm is used for feature extraction. There are a lot of
feature extraction methods but we preferred HOG because of its better feature
evaluation capacity. After feature extraction, they are classified into ten classes such
as zero, one, two, three, four, five, six, seven, eight and nine. K-NN Classifier has
been trained with these features. There are various classifiers but we selected K-NN
Classifier because its accuracy is better as comparison to other classifiers. There are a
lot of applications of handwritten Devanagari numerals recognition such as reading
bank cheques, passport readers, postal code readers, commercial forms reader, bill
processing systems etc. Proposed Hybrid approach has been applied to many
documents and author obtained satisfying results.Computer Science and Engineering, Thapar University, Patial
Collected Papers (Papers of Mathematics or Applied Mathematics), Volume V
No full textThis volum includes 37 papers of mathematics or applied mathematics written by the author alone or in collaboration with the following co-authors: Cătălin Barbu, Mihály Bencze, Octavian Cira, Marian Niţu, Ion Pătraşcu, Mircea E. Şelariu, Rajan Alex, Xingsen Li, Tudor Păroiu, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Yingjie Tian, Mohd Anasri, Lucian Căpitanu, Valeri Kroumov, Kimihiro Okuyama, Gabriela Tonţ, A. A. Adewara, Manoj K. Chaudhary, Mukesh Kumar, Sachin Malik, Alka Mittal, Neetish Sharma, Rakesh K. Shukla, Ashish K. Singh, Jayant Singh, Rajesh Singh, V.V. Singh, Hansraj Yadav, Amit Bhaghel, Dipti Chauhan, V. Christianto, Priti Singh, and Dmitri Rabounski
Planar versus bulk heterojunction perovskite microstructures: Impact of morphology on photovoltaic properties and recombination dynamics
No full textGamification for achieving sustainability: Trends and future scope
No full textThis study presents current trends and scope of gamification in achieving sustainability. We conduct bibliometric analysis of extant literature with SPAR-4-SLR method. Year-wise, author-wise, citation-wise, country-wise, source-wise, affiliation-wise, sponsoring institutions-wise, and keywords-wise listing are the parameters to analyze literature. The study concludes that gamification is employed in different business processes and different domains like health, business, tourism, and education to achieve sustainability. Gamification tools like augmented reality, virtual reality, simulation, and serious game are prominent games analyzed in literature. Hence, achieving SDGs through gamification is an interesting arena to be explored for further studies
Alternative Therapeutics Against Antimicrobial-Resistant Pathogens
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Quantitative and Rapid Antibacterial Assay of Micromeria biflora Benth. Leaf Essential Oil Against Dental Caries Causing Bacteria Using Phylogenetic Approach
Get PDFAbstractThe phylogenetic relationship of four dental caries causing bacterial pathogens has been studied using ITS1 sequences of the standard strains were aligned by using the ClustalW computer program. The essential oil obtained from the leaves of Micromeria biflora Benth., obtained by hydrodistillaton. The chemical compositions of the essential oil from Micromeria biflora Benth was analyzed by gas chromatography-mass spectrometry (GC-MS). The GC/MS analysis showed eight major active constituents in the leaf essential oil of Micromeria biflora Benth. The antibacterial activity of the oil was evaluated against four dental caries causing bacteria such as Streptococcus mutans (MTCC 890); Lactobacillus acidophilus (MTCC 447); Streptococcus mitis (MTCC 2695) and Streptococcus salivarius (MTCC 1938) using broth microdilution method recommended by Clinical Laboratory Standards Institute (CLSI) formely (NCCLS). It’s showed excellent activity against Streptococcus mutans with their Minimum inhibition concentration (MIC) 0.15 mg/ml and (IC50) 0.10 mg/ml and less effective against Lactobacillus acidophilus. The essential oil of Micromeria biflora Benth from leaf has played a significant role against dental caries causing bacteria. Relationships of the dental caries causing pathogens to the toxicity of the oil vis-à -vis phylogeny using molecular data of pathogens have also been discussed. 1Biological Product Laboratory, Dept. of Botany, University of Allahabad, Allahabad-2110022Dept. of Horticulture, Aromatic & Medicinal Plants, Mizoram University, Aizawl-796009, India 3Dental Surgeon, Saumya Dental Clinic, Taigore Town, Allahabad, India*Corresponding author, Email: [email protected], Tel: +919335108519Please Cite This Article As:  Rohit Kumar Mishra, Awadhesh Kumar, Amritesh Chandra Shukla, Pravin Tiwari and Anupam Dikshit. 2010. Quantitative and Rapid Antibacterial Assay of Micromeria biflora Benth. Leaf Essential Oil Against Dental Caries Causing Bacteria Using Phylogenetic Approach. J. Ecobiotechnol. 2(4):22-26
Uncovering Trends and Impact: A Bibliometric Analysis of Open Access Social Science Journals in Scopus (2012-2022)
No full text239-248This study conducted a comprehensive analysis of research trends and collaboration dynamics of Open Access Social
Science Journals indexed in Scopus from 2012 to 2022. It examined 627 documents from 167 sources, with an annual growth
rate of 18.52%. Collaborative research was prevalent, with 1440 contributors, including 89 solo authors. International
collaboration was found in 25.84% of documents. Bradford’s Law categorized journals into three zones, with just four journals
in Zone-I contributing 36.52% of all documents, indicating the influence of specialized journals. Authorship varied, with
Thelwall M. being the most prolific author. Lokta’s Law revealed a skew in authorship, with most authors contributing only one
article, Lotka’s inverse square law does not confirm to the present data set. Keyword analysis highlighted
themes like “bibliometrics”, “Human”, and “Citation Analysis,” reflecting interest in research dissemination. Treemap analysis
visually represented keyword distribution. Collaboration network analysis identified 9 clusters of countries with strong
collaborative ties, with the USA, Germany, and China leading. These countries played pivotal roles in international research
collaborations. In conclusion, this research offers valuable insights into academic research, emphasizing keyword importance,
concentration in specialized journals, varying author productivity, and the central role of specific countries in global knowledge
exchange. These findings are relevant for researchers, policymakers, and institutions navigating the evolving academic research
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