403 research outputs found

    Computerised library system and the legal profession

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    The author explores the computer applications and computerised methods of functioning that have become prevalent in India both in the library system and in the legal profession in India. However, Patil argues that modern technology and managerial techniques evolved during the last few years in India are no substitute for a capable and efficient administrator, who could use these tools to achieve the goals set for law libraries and to the legal profession. The prospects of introducing modern technology in India depends on administrative, physical, and operational decisions. Further, such a system finally created with its infrastructure, may give lead for the establishment of world-wide information network activities. (Editor’s abstract.

    The Benefits of Being Economics Professor A (and not Z)

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    Alphabetic name ordering on multi-authored academic papers, which is the convention in the economics discipline and various other disciplines, is to the advantage of people whose last name initials are placed early in the alphabet. As it turns out, Professor A, who has been a first author more often than Professor Z, will have published more articles and experienced afaster growth rate over the course of her career as a result of reputation and visibility. Moreover, authors know that name ordering matters and indeed take ordering seriously: Several characteristics of an author group composition determine the decision to deviate from the default alphabetic name order to a significant extent.performance measurement, incentives, economists, name ordering

    Elements of Ethnotaxonomy in Dhule and Nandurbar Districts (Maharashtra)

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    Dhule and Nandurbar districts of Maharashtra are mainly inhabited by tribals and rural folks. The author’s ethnobotanical and floristic forays in these districts brought out certain elements of ethnotaxonomy like ethnotaxonomic markers, classifications, principles of nomenclature and exomorphic features.  The facts gathered indicated that the people in the area are fairly flooded with reckonable elements of ethnotaxonomy.  And 22 ethnotaxonomic markers are identified. These are evaluated and discussed pertinently in this paper.-----------------------------------------------------------------------------------------------------Post Graduate Department of Botany, S.S.V.P.S’s L.K. P.R.Ghogrey Science College, Dhule-424005 (Maharashtra), India*Corresponding author, Email: [email protected] Cite This Article As: D.A. Patil. 2010. Elements of Ethnotaxonomy in Dhule and Nandurbar Districts (Maharashtra). J. Ecobiotechnol. 2(3): 18-25

    Deep Learning-based SNR Estimation for Multistage Spectrum Sensing in Cognitive Radio Networks

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    Vacant frequency bands are used in cognitive radio (CR) by incorporating the spectrum sensing (SS) technique. Spectrum sharing plays a central role in ensuring the effectiveness of CR applications. Therefore, a new multi-stage detector for robust signal and spectrum sensing applications is introduced here. Initially, the sampled signal is subjected to SNR estimation by using a convolutional neural network (CNN). Next, the detection strategy is selected in accordance with the predicted SNR levels of the received signal. Energy detector (ED) and singular value-based detector (SVD) are the solutions utilized in the event of high SNR, whilst refined non-negative matrix factorization (MNMF) is employed in the case of low SNR. CNN weights are chosen via the Levy updated sea lion optimization (LU-SLNO) algorithm inspired by the traditional sea lion optimization (SLNO) approach. Finally, the outcomes of the selected detectors are added, offering a precise decision on spectrum tenancy and existence of the signal

    Influence of geometric parameters on 3D periodic lattice effective properties

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    Lattice materials are generated by tessellating a unit cell, composed of a specific truss configurations, in an infinite periodicity to combine the effect of bulk material properties and geometric periodicity. They offer enhanced mechanical and dynamic properties per unit mass, and the ability to engineer the material response by optimizing the unit cell. Characterizing lattice properties through experiments can be a time consuming and costly process, so analytical and numerical methods are crucial. Specifically, the Bloch-wave homogenization approach allows one to characterize the effective static properties of the lattice unit cell while simultaneously analyzing wave propagation properties. While this analysis has been used for some time, a thorough study of this approach on 3D lattice materials with different symmetries and geometries is presented here. Using Bloch-wave homogenization, multiple periodic lattices with cubic, transversely isotropic, and tetragonal symmetry, including an auxetic geometry, over a wide range of relative densities are analyzed within a finite element framework. The effect of geometric parameters on lattice properties is discussed and a comparison between lattices based on their anisotropy index is presented. Method studied in this thesis can be extended for designing multifunctional metamaterials with optimized static and dynamic properties simultaneously. This work can also serve as the basis for nondestructive evaluation of metamaterials properties using ultrasonic velocity measurements.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01The student, Ganesh Patil, accepted the attached license on 2019-04-24 at 19:00.The student, Ganesh Patil, submitted this Thesis for approval on 2019-04-24 at 19:11.This Thesis was approved for publication on 2019-04-25 at 12:03.DSpace SAF Submission Ingestion Package generated from Vireo submission #13897 on 2019-08-22 at 15:08:33Made available in DSpace on 2019-08-23T20:36:11Z (GMT). No. of bitstreams: 2 PATIL-THESIS-2019.pdf: 3995937 bytes, checksum: 253c02515a72bc6ca31f3c9efedf6314 (MD5) LICENSE.txt: 4209 bytes, checksum: 6c4ad2393972f2d5134133cccf2e87e4 (MD5) Previous issue date: 2019-04-25Embargo set by: Seth Robbins for item 112211 Lift date: 2021-08-23T20:36:18Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 112211 on 2021-08-24T09:15:10Z

    Deep Learning-based SNR Estimation for Multistage Spectrum Sensing in Cognitive Radio Networks, Journal of Telecommunications and Information Technology, 2022, nr 4

    No full text
    Vacant frequency bands are used in cognitive radio (CR) by incorporating the spectrum sensing (SS) technique. Spectrum sharing plays a central role in ensuring the effectiveness of CR applications. Therefore, a new multi-stage detector for robust signal and spectrum sensing applications is introduced here. Initially, the sampled signal is subjected to SNR estimation by using a convolutional neural network (CNN). Next, the detection strategy is selected in accordance with the predicted SNR levels of the received signal. Energy detector (ED) and singular value-based detector (SVD) are the solutions utilized in the event of high SNR, whilst refined non-negative matrix factorization (MNMF) is employed in the case of low SNR. CNN weights are chosen via the Levy updated sea lion optimization (LU-SLNO) algorithm inspired by the traditional sea lion optimization (SLNO) approach. Finally, the outcomes of the selected detectors are added, offering a precise decision on spectrum tenancy and existence of the signal

    The Man, The Boy, and The Donkey

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    MSA is here told in Amharic. Our 79th language! The story is told in typical fashion, though the ending is surprising. There is no death of the donkey, nor is there a decision by the man. The last word goes to passersby who comment "You fools! Do you carry donkeys?" The moral is, in Google translate, "If you try to please everyone, you can please no one." Strong simple illustrations have the two walking through desert to Gebiya. 46 pages. 6" x 9".This is a hardbound book (hard cover)Language note: AmharicNo Autho
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