93,234 research outputs found
Bibliographics for the 983 eprints in the live archives of E-LIS : trends and status report up to 7th July 2004, based on author-self-archiving metadata
The priority for ideas and philosophy related to "Network Theory" have been traced back and documented by Braun(2004),and credit goes to Karinthy(1929).The IT has empowered to realise it, as the most practical phenomena and it is no more a humour. The OAI (Open Archives Initiatives)and ACIS (Academic Contributor Information System)are progressive in the direction ,which may lead to realise the "Collective Genius" at global level. Focus of present study is on Author-Self-Archiving (A-S-A)Metadata of the 983 Eprints in the Live Archives of the E-LIS (EPrints of Library and Information Science),which were approved till 7th July 2004.The A-S-A Metadata was used for librametric analysis. Self-explanatory bibliographics are illustrated.The highlights include: Conference papers (34%); highest approval, June 2004 (28%); published archives (76%);not refereed (52%); not in public domain (60%); highest self-archiving-author (De Robbio, Antonella).The Nos. of EPrints having single JITA domain specifications were: Theoretical and general aspects of libraries and information(27); Information use and sociology of information(80);Users,literacy and reading(13);Libraries as physical collections(30);Publishing and legal issues(57);Management(13);Industry, profession and education(36);Information sources, supports, channels(113) ; Information treatment for information services, Information functions and techniques (101); Technical services libraries, archives and museums(25); Housing technologies(1); Information technology and library technology(92); and Inter-domainery (395) i.e. having specifications of two or more than two JITA classes
A Unified Shell model for Buoyancy-Driven Turbulence
We construct a unified shell model for stably stratified and convective turbulence. Shell model simulation of stably stratified flow in turbulent regime exhibit Bolgiano-Obukhbov (BO) scaling in which the kinetic energy spectrum varies as . However, simulation of convective turbulence shows Kolmogorov's spectrum. These results are consistent with the direct numerical simulations of Kumar {\em et al.} [Phys. Rev. E {\bf 90}, 023016 (2014)]. We also observe a dual scaling ( and ) for a limited range of parameters in stably stratified flow
Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks
Cite this code as: Kumar, J. (2023). Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks (Version 1.0) [Computer software]. https://doi.org/10.5281/zenodo.8048530
Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks
Author: Jitendra (Jitu) Kumar ([email protected]), Oak Ridge National Laboratory
Regional and global ecological research networks, representing coordinated and standardized as well as adhoc networks of observation sites, provide valuable observations necessary for ecological modeling and synthesis studies. Studies conducted across observational networks strive to scale up their results to larger areas, trying to reach conclusions that are valid throughout regional, continental, and even global scales. Network representativeness and constituency can show how well conditions at those locations represent conditions elsewhere within a larger area containing the network and can be used to help scale-up results over larger regions.
Representativeness: Euclidean distance between two sites plotted in multivariate environmental space can be used as an inverse measure of multivariate similarity to quantify representativeness. Close sites in environmental space have a similar combination of environmental factors, and therefore are highly representative of each other.
Constituency: For any site in the network, its Constituency represent all locations that are best represented by the multivariate environmental drivers at that site.
Code Compilation:
make
Edit the ```makefile``` as needed for your platform.
CC=gcc
CFLAGS= -O3
hpea: network_representativeness.o\
utility.o
(CFLAGS) *.o -lm -o network_representativeness
.o:
(CFLAGS) -c $<
clean:
\rm *.o network_representativeness
Running the representativeness analysis:
Usage: network_representativeness -infile input data file [ASCII]
-coordsfile coordinate file name
-clustfile coordinate file name [OPTIONAL -- must be used with -siteclustfile]
-sitefile site data file name
-siteclustfile site data file name [OPTIONAL -- must be used with -clustfile]
-nsites No. of sites
-minmaxfile minmax file name
-outfile output file name
-nrows No. of rows in input data
-ncols No. of variables
-details [OPTIONAL -- turn on output representativeness for each site, default is to write network representativeness and constituency only.]
-help program usage help.
Publications using ```network_reprentativeness``` code:
Kumar, J., Coffin, A. W., Baffaut, C., Ponce-Campos, G., Witthaus, L., and Hargrove, W. W. (2023) "Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network, and Analysis of Complementarity with Other Existing Ecological Networks", Environmental Management (in press)
M. M. T. A. Pallandt, J. Kumar, M. Mauritz, E. A. G. Schuur, A.-M. Virkkala, G. Celis, F. M. Hoffman, and M. Göckede. Representativeness assessment of the pan-arctic eddy covariance site network and optimized future enhancements. Biogeosciences, 19(3):559--583, 2022. https://doi.org/10.5194/bg-19-559-2022
J. Kumar, F. M. Hoffman, W. W. Hargrove, and N. Collier. Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements. Earth System Science Data Discussion, 2016:1--25, August 2016. https://doi.org/10.5194/essd-2016-36.If you use this software, please cite it as below.
Kumar, J. (2023). Multivariate Quantitative Representativeness and Constituency Analysis of Ecological Observation Networks (Version 1.0) [Computer software]. https://doi.org/10.5281/zenodo.804853
Investigation on the Lu-Kumar queueing network
Multi-class re-entrant networks are common in semiconductor, communication and other complex manufacturing systems. The project seeks to investigate the Lu-Kumar re-entrant queueing network through simulation. The Lu-Kumar network is a simple re-entrant system used as a starting point in examining multi-class queueing networks. Insights gained through simulation can have potential application in improving manufacturing systems.
It is common to find literature that discusses the stability of such systems using fluid models. This project takes on a different approach by examining the stability of such systems using a deterministic model through simulation.
The experimental results show that the stability conditions of the Lu-Kumar network in a deterministic model is different from those proved using fluid models. The stability conditions established using fluid models do not apply in a deterministic case. The deterministic model have discrete regions of stability, the author conjectures that it is most likely achieved through synchronization.
Further exploration on the intrinsic properties of the model is conducted through simulation using Poisson arrivals and exponential service times. It is found that the network has a linear relationship with M/M/1 queue times, with the virtual station showing the strongest linearity. The results support the author’s belief that the Lu-Kumar re-entrant network can be approximated to a G/G/k queue model if the coefficient of variation can be determined.
In addition, recommendations are provided for future work to further develop the understanding of multi-class re-entrant queueing networks.Bachelor of Engineering (Mechanical Engineering
Story of the Story-Teller: A Conversation with Ramendra Kumar
Ramendra Kumar (Ramen) is an award-winning writer, storyteller and inspirational speaker with 42 books to his name. Ramen’s writings have been published by many of the leading publishers in the county and translated into 30 languages. They have found a place in several textbooks and anthologies. He has written across all genres ranging from picture books to adult fiction, satire, poetry, travelogues, biographies and on issues related to parenting and relationships. He has been invited to literary festivals held in Denmark, Greece, Sharjah, Sri Lanka as well Indian events including the prestigious Jaipur Litfest to conduct storytelling sessions and creative writing workshops. He has also been empanelled by Pearson India Education Services as well as several schools to conduct workshops. He was nominated as a Jury Member for the Best Children’s Author Category of The Times of India’s ‘Women AutHer’ Awards 2020. Many of his stories have been showcased by popular audio streaming, apps both within and outside the country, such as Spotify, Gaatha, Talking Stories Radio – London et al.
An Engineer & an MBA, Ramen was serving as the General Manager (Corporate Communications), SAIL, Rourkela Steel Plant, when he took Voluntary Retirement to pursue his passion, in August 2020. To know more about the writer, you can visit his website www.ramendra.in & his page on Wikipedia. Dr. Sagar Kumar Sharma interviews the author and unfolds the pages of his life.
 
Book Review: Vani Kant Borooah, Nidhi Sadana Sabharwal, Dilip G. Diwakar, Vinod Kumar Mishra and Ajaya Kumar Naik (Eds), Caste, Discrimination, and Exclusion in Modern India
Vani Kant Borooah, Nidhi Sadana Sabharwal, Dilip G. Diwakar, Vinod Kumar Mishra and Ajaya Kumar Naik (Eds), Caste, Discrimination, and Exclusion in Modern India. New Delhi: SAGE Publications, 2015, xl + 337 pp., ₹995 (hardback), ISBN 978-93-515-0267-8. </jats:p
Steganography for Invisible Communication: A Review
Steganography 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
Bacillus maritimus Pal & Mathan Kumar & Kaur & Kumar & Kaur & Singh & Krishnamurthi & Mayilraj 2017, SP. NOV.
DESCRIPTION OF BACILLUS MARITIMUS SP. NOV. Bacillus maritimus (ma.ri′ ti.mus. L. masc. adj. maritimus maritime, marine). Cells are Gram-stain-positive, rod-shaped, endospore-forming (bulging sporangia) and aerobic. Tolerates up to 7 % (w/v) NaCl (optimum 5 %). No growth occurs in the presence of>8.0 % (w/v) NaCl. The temperature range for growth is 12– 42 Ǫ C (optimum 30 Ǫ C). Growth is observed in the pH range 7.0-11 (optimum pH 8.0) but no growth is observed at pH below 6.0. Negative for hydrolysis of casein, starch and gelatin. Nitrate is reduced to nitrite; H 2 S is not produced. Acid is produced from fructose, raffinose, lactose and melibiose but not from adonitol, dulcitol, dextrose, galactose, inositol, inulin, mannitol, mannose, maltose, rhamnose,, sucrose, salicin, sorbitol, trehalose or xylose. Positive for arginine dihydrolase 1, urease, sucrose, trehalose, raffinose, maltose, L- lactate alkalinization, Oi -galactosidase, L- proline arylamidase, Oi -glucosidase and arginine dihydrolase 2, but negative for β -glucosidase, β - galactopyranosidase, β -galactosidase, salicin, optochine resistance, D- amygdalin, phosphatidylinositol phospholipase C, D- xylose, Ala–Phe–Pro arylamidase, cyclodextrin, L- aspartate arylamidase, Oi -mannosidase, phosphatase, leucine arylamidase, L- pyrrolidonyl-arylamidase, β -glucuronidase, alanine arylamidase, tyrosine arylamidase, D- sorbitol, polymixin B resistance, D- galactose, D- ribose, lactose, N -acetyl-D- glucosamine, bacitracin resistance, novobiocin resistance, growth with 6.5 % (w/v) NaCl, D- mannitol, D- mannose, methyl β -D-glucopyranoside, pullulan and 0/129 resistance (comp.vibrio.). Major fatty acids are iso-C 15: 0, anteiso-C 15: 0, iso-C 14: 0 and iso-C 17: 1 I and/or anteiso-C 17: 1 B. The only menaquinone present is MK-7. The major phospholipids are diphosphatidylglycerol, phosphatidylglycerol and phosphatidylethanolamine. The type strain, KS16-9 T (= MTCC 12305 T = DSM 100413 T = KCTC 33834 T), was isolated from a marine sediment sample collected from Kovalam, Kanyakumari coastal region of the Indian Ocean, India. The DNA G+C content of the type strain is 45.4 mol%.Published as part of Pal, Deepika, Mathan Kumar, Rajendran, Kaur, Navjot, Kumar, Narender, Kaur, Gurwinder, Singh, Nitin Kumar, Krishnamurthi, Srinivasan & Mayilraj, Shanmugam, 2017, Bacillus maritimus sp. nov., a novel member of the genus Bacillus isolated from marine sediment, pp. 60-66 in International Journal of Systematic and Evolutionary Microbiology 67 (1) on pages 64-65, DOI: 10.1099/ijsem.0.001569, http://zenodo.org/record/604839
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