1,724,431 research outputs found
Dr S Pavan Kumar
No full textDr S Pavan Kumar is an Associate Professor in the School of Humanities, Social Sciences and Management, NITK Surathkal, Karnataka. His educational qualifications include Diploma in Electrical & Electronics Engineering from Govt. Polytechnic affiliated to SBTET, Hyderabad. B.E. in Computer Science & Engineering from Amravati University. M.Tech. in Human Resource Development & Management from IIT Kharagpur in 2006. Doctorate in Human Resource Development & Management from IIT Kharagpur in 2011. He has done several other modern-day courses to keep himself updated with the technology and trend. It includes a certificate course in Business Analytics from Manipal global university and a P.G. Diploma in Geo-spatial technologies for rural development from NIRDPR, Govt of India etc. Dr Kumar has gained rich experience of approximately 25 years in academic institutions as academician, consultancy organizations as a consultant, a Govt. enterprise as a trainee etc. His notable experiences, to name a few, are as follows: He has served as Vice-principal for Kshatriya college of engineering, affiliated with JNT University Hyderabad, before joining NITK Surathkal. Dr Kumar joined NITK Surathkal in 2012 and has been serving to date. In his tenure to date, he played several academic and administrative roles. He served as Head of the department during 2018-2021. He is also serving as the secretary for NITK English medium school run by the professors of the NITK Surathkal. Regarding academic achievements, Dr S P Kumar has received many best research paper awards for his contribution in several national and international conferences. So far, he has published approximately forty research papers in referred journals. He had presented approximately 35 papers at conferences of repute. Dr Kumar completed 3 PhD guidance as on date, and six scholars are currently doing PhD under his supervision. Around 25 MBA students have completed their project work under his guidance. Dr Kumar visited international universities located in countries like Switzerland, Spain for research interaction. Dr Kumar regularly conducts workshops on contemporary topics in various universities as part of outreach activities. A few universities where Dr Kumar has conducted events are Kongu engineering college, Rajagiri college of social sciences, IIT Kharagpur extension center etc. He also serves as a member of the board of studies for management programs as an academic expert. A few notable ones are S.R. University Warangal, PSG Coimbatore etc. He is a reviewer for a few journals for repute. He is also on the advisory board of a few start-up companies. He acted as an examiner for several PhD thesis evaluations. Dr Kumar regularly sets question papers for various premier universities of the country. Dr Kumar’s research interests include organizational development, Human resource management & development, Organizational behavior etc.https://www.interscience.in/mentors/1110/thumbnail.jp
A new species of Stolephorus (Clupeiformes: Engraulidae) from the Bay of Bengal India
No full textPavan-Kumar, Annam, Jahageerdar, Shrinivas, Jaiswar, A. K. (2020): A new species of Stolephorus (Clupeiformes: Engraulidae) from the Bay of Bengal India. Zootaxa 4743 (4): 561-574, DOI: https://doi.org/10.11646/zootaxa.4743.4.
Stolephorus tamilensis Pavan-Kumar & Jahageerdar & Jaiswar 2020, sp. nov.
No full text<i>Stolephorus tamilensis</i> sp. nov. <p>Proposed common name: Tamil anchovy (Fig. 2)</p> <p> <b>Holotype</b>: ZSI F12077/2 (50.85 mm SL), Thoothukudi fish landing centre, Tamil Nadu, India (8.7642° N, 78.1348° E), 18 February 2015.</p> <p> <b>Paratypes:</b> All paratypes from Thoothukudi fish landing centre, Tamil Nadu, India, (8.7642° N, 78.1348° E), (Fig. 1) 18 February 2015: BNHS MF 10-12 (3 specimens, 48.48–51.16 mm SL), CIFE-FRM 945–971 (27 specimens, 47.37–53.64 mm SL) collected by Shardul S. Gangan on 18 February 2015.</p> <p> <b>Diagnosis.</b> A species of <i>Stolephorus</i> with the following combination of characters: relatively deep-bodied fish, 19.87–23.37% SL (mean 21.2%); eye relatively large, eye diameter 29.28–35.85% HL (mean 32.09%); posterior margin of preopercle indented; gill rakers 15–19 in upper series on first gill arch, 25–28 on in lower series, 40–47 in total; posterior tip of longest pectoral-fin ray not reaching pelvic-fin origin, pelvic-fin relatively short, 5.81–8.15% SL (mean 7.39%); no pre-dorsal spines and post-pelvic scutes, pre-pelvic scutes 5–6; dorsal-fin base length 13.85– 15.54% in SL (mean 14.57%); dorsal-fin origin is closer to base of caudal fin than to tip of snout; length from dorsal-fin origin to anal-fin origin 20.91–22.57 % in SL (mean 21.87%); anal-fin rays 17–19; numerous melanophores on dorsum and suborbital area.</p> <p> <b>Description.</b> Body cylindrical, laterally compressed. Dorsal profile of head and body slightly convex from snout tip to dorsal fin origin, somewhat straight from the last point to caudal peduncle. Ventral profile of head and body is convex from anterior lower jaw tip to base of pelvic-fin, slightly concave from post pelvic fin to anal-fin origin. Posterior margin of pre- opercule concave, indented. Numerous melanophores on dorsum and suborbital area. Somewhat straight from posterior end of anal-fin to origin of lower caudal-fin lobe. Caudal peduncle slightly deep than longer. Vertebrae 39–40 (two specimens examined). Belly covered with 5–6 sharp needle-like scutes anterior to pelvic-fin insertion. Pelvic-fin without spine. Pre-dorsal and post-pelvic scutes absent.</p> <p>Snout long, rounded, its length less than eye diameter. Mouth sub-terminal, extending backward beyond posterior margin of eye. Posterior end of the upper jaw rounded reaching to border of operculum. Lower jaw slender, extending beyond vertical through posterior margin of eye. Teeth pointed, small, slender, arranged in a single row in the pre maxilla, maxilla and lower jaw. Eye large, round, covered with adipose eye lid, positioned laterally on head dorsal to horizontal through pectoral-fin insertion, visible in dorsal view. Orbit elliptical. Nostrils close to each other, anterior to orbit. Inter orbital width less than eye diameter.</p> <p>Dorsal-fin rays ii–iii + 15, origin closer to base of caudal-fin than to tip of snout. Pair of pigment line in front of dorsal-fin as well as between caudal-fin and dorsal-fin is absent. Anal-fin rays iii + 17–19, its origin at vertical through middle of the dorsal-fin. Pectoral-fin rays I + 13, posterior tip of longest pectoral-fin ray not reaching pelvic-fin origin, pectoral-fin axillary scale found in some specimens but in the remained it was absent, may be lost during collection. Pelvic-fin rays i–ii + 7, longest pectoral-fin rays not reaching vertical through to base of dorsal-fin. Caudal-fin forked, upper and lower lobes of caudal-fin well-developed. Gill rakers long and thin on first branchial arch, 15 –19 on the upper arch, 25–28 on lower arch (Table 4).</p> <p> <i>Colour.</i> Colour of thirty specimens of <i>Stolephorus tamilensis</i> <b>sp. nov.</b> in fresh condition silvery whitish, very faint silvery stripe running along the lateral side; small dark pigment line running along upper border of anal fin.</p> <p> <b>Distribution.</b> Based on the collection of voucher specimens from present study, the type locality of <i>Stolephorus tamilensis</i> sp. nov. is Thoothukudi, Tamil Nadu State of India 8.7642° N, 78.1348° E. Probably this species is distributed in Gulf of Mannar and along the Tamil Nadu State coast.</p> <p> <b>Etymology.</b> The species is named as “ <i>tamilensis</i> ” with reference to the Tamil Nadu, a state of India, the type locality of the species.</p> <p> <b>Comparisons.</b> <i>Stolephorus tamilensis</i> differs from congeners except <i>S. dubiosus, S. baganensis, S. bengalensis, S. carpenteriae, S. tri, S. ronquilloi, S. holodon,</i> and <i>S. andhraensis</i> by the hind boarder of the pre-operculm concave (<i>vs.</i> rounded in <i>S. indicus</i>, <i>S. commersonnii, S. waitei, S. chinensis, S. multibranchus, S. brachycephalus, S. advenus, S. nelsoni, S. apiensis, S. pacificus, S. continentalis, S. insignus</i> and <i>S. oceanicus</i>). The new species also distinguishes from <i>S. dubiosus, S. tri</i> and <i>S. baganensis</i> by the absence of pre-dorsal spine (<i>vs.</i> presence). Furthermore, <i>S. tamilensis</i> can be distinguished from <i>S. andhraensis</i> by the absence of scattered pigments between dorsal-fin and caudal peduncle (<i>vs.</i> presence). In addition, <i>Stolephorus tamilensis</i> is also distinct from <i>S. andhraensis</i>, <i>S. ronquilloi, S. tri, S. multibranchus, S. brachycephalus, S. apiensis, S. pacificus, S. insignus, S. continentalis, S. teguhi, S. baganensis</i>, <i>S. waitei, S. chinensis, S. bataviensis, S. baweanensis, S. bengalensis</i> and <i>S. oceanicus</i> by 25–28 gill rakers on the lower limb of the first gill arch (<i>vs</i>. 20–21 in <i>S. andhraensis,</i> 28–30 in <i>S. ronquilloi</i>, 18–22 in <i>S. tri,</i> 32–35 in <i>S. multibranchus,</i> 20–22 in <i>S. brachycephalus,</i> 30–31 in <i>S. apiensis,</i> 35–38 in <i>S. pacificus,</i> 26–28 in <i>S. insignus & S. continentalis</i>, 41–46 in <i>S. teguhi,</i> 20–23 in <i>S. baganensis</i>, 23–25 in <i>S. waitei,</i> 20–25 in <i>S. chinensis,</i> 19–22 in <i>S. bataviensis & S. baweanensis,</i> 22–27 in <i>S. bengalensis</i> and 24–28 in <i>S. oceanicus</i>). The new species also differs from <i>S. commersonnii, S. multibranchus, S. brachycephalus, S. advenus, S. pacificus</i>, <i>S. teguhi, S. chinensis, S. insignus, S. bataviensis</i> and <i>S. bengalensis</i> by 5–6 needle like pre-pelvic scutes (<i>vs.</i> 1–4 in <i>S. commersonnii,</i> 2–4 in <i>S. multibranchus,</i> 4–5 in <i>S. brachycephalus,</i> 7 in <i>S. advenus,</i> 1–4 in <i>S. pacificus</i>, 2–5 in <i>S. teguhi,</i> 4–7 in <i>S. chinensis, S. insignus</i> & <i>S. bataviensis,</i> and 5–8 in <i>S. bengalensis</i>). <i>Stolephorus tamilensis</i> is distinguishable from <i>S. multibranchus, S. brachycephalus, S. carpentariae, S. advenus, S. teguhi, S. chinensis, S. bengalensis</i> and <i>S. insignus</i> by 17–19 anal fin rays (<i>vs.</i> 18–20 in <i>S. multibranchus,</i> 19–22 in <i>S. brachycephalus,</i> 19–20 in <i>S. carpenteriae,</i> 16 in <i>S. advenus</i>, 19–21 in <i>S. teguhi,</i> 18–20 in <i>S. chinensis</i>, 16–19 in <i>S. bengalensis</i> and 18–19 in <i>S. insignus</i>).</p> <p> Furthermore, <i>S. tamilensis</i> differs from <i>S. commersonnii, S. indicus, S. waitei</i> (<i>S. baweanensis</i> sensu Hata <i>et al</i>. 2019), <i>S. insularis</i> (<i>S</i>. <i>bengalensis</i> sensu Hata <i>et al.</i> 2019), <i>S. baganensis, S. dubiosus</i> in eye diameter, dorsal fin base length, pelvic fin length, length between dorsal and anal-fin origins and maximum body depth (Table 3).</p> <p>...Continued next page</p> <p> * <i>S. waitei</i> (<i>Stolephorus baweanensis</i> sensu Hata <i>et al</i>. 2019), * <i>S. insularis</i> (<i>S. bengalensis</i> sensu Hata <i>et al</i>. 2019)</p> <p> <b>Note:</b> standard length or SL, snout length SNL (1), head length HL (2), postorbital head length POHL (3), interorbital width IOW (4), eye diameter ED (5), upper jaw length UJL (6), lower jaw length LJL (7), dorsal-fin base length DFBL (8), anal-fin base length AFBL (9), pelvic-fin base length PFBL (10), pelvic-fin length PLFL (11), pectoral-fin base length PTBL (12), pectoral fin long filament length PTFL (13), length from tip of snout to origin of dorsal fin TSDF (14), length from tip of snout to origin of anal fin TSAF (15), length from tip of snout to origin of pelvic fin TSPF (16), length from tip of snout to origin of pectoral fin TSPTF (17), length from origin of dorsal fin to origin of anal fin AFDL (18), maximum body depth MBD (19), length from base of pectoral fin to origin of pelvic fin BPTFPL (20), length from base of pectoral fin to origin of anal fin BPTFAL (21), length from base of pelvic fin to origin of anal fin BPLFAF (22)</p> <p> <b>Statistical analysis of morphometric variables.</b> Higher F-ratio of more than 200 for ED/HL, DFBL/SL, PLFL/SL, AFDL/SL and MBD/SL reveal their better discrimination power than the other characters (Table 3). Herein, a higher F-value of 3309.651 and 2471.632 for ED/HL and MBD/SL, respectively, showed the importance of insertion point in species differentiation. However, comparative analysis showed overlapping meristic characters between <i>S. insularis</i> (<i>S. bengalensis</i> sensu Hata <i>et al.</i> 2019) and <i>S. tamilensis</i> (Table 4).</p>Published as part of <i>Pavan-Kumar, Annam, Jahageerdar, Shrinivas & Jaiswar, A. K., 2020, A new species of Stolephorus (Clupeiformes: Engraulidae) from the Bay of Bengal India, pp. 561-574 in Zootaxa 4743 (4)</i> on pages 563-568, DOI: 10.11646/zootaxa.4743.4.6, <a href="http://zenodo.org/record/3690639">http://zenodo.org/record/3690639</a>
Supplemental_file.docx_R1 – Supplemental material for 1,8-Diazabicyclo[5.4.0]undec-7-ene-mediated formation of N-sulfinyl imines
No full textSupplemental material, Supplemental_file.docx_R1 for 1,8-Diazabicyclo[5.4.0]undec-7-ene-mediated formation of N-sulfinyl imines by Manjunatha M Ramaiah, Priya Babu Shubha, Pavan Kumar Prabhala and Nanjunda Swamy Shivananju in Journal of Chemical Research</p
FIGURE 5 in A new species of Stolephorus (Clupeiformes: Engraulidae) from the Bay of Bengal India
No full textFIGURE 5. Neighbour-joining tree of species of Stolephorus genera constructed using COI gene K2P distance values (*S. insularis / S. bengalensis sensu Hata et al. 2019); *S. waitei/ S. baweanensis sensu Hata et al. 2019).Published as part of Pavan-Kumar, Annam, Jahageerdar, Shrinivas & Jaiswar, A. K., 2020, A new species of Stolephorus (Clupeiformes: Engraulidae) from the Bay of Bengal India, pp. 561-574 in Zootaxa 4743 (4) on page 572, DOI: 10.11646/zootaxa.4743.4.6, http://zenodo.org/record/369063
Learning a common dictionary for CSI feedback in FDD massive MU-MIMO-OFDM systems
No full textIn a transmit preprocessing aided frequency division duplex (FDD) massive multi-user (MU) multiple-input multiple-output (MIMO) scheme assisted orthogonal frequency-division multiplexing (OFDM) system, it is required to feed back the frequency domain channel transfer function (FDCHTF) of each subcarrier at the user equipment (UE) to the base station (BS). The amount of channel state information (CSI) to be fed back to the BS increases linearly with the number of antennas and subcarriers, which may become excessive. Hence we propose a novel CSI feedback compression algorithm based on compressive sensing (CS) by designing a common dictionary (CD) to reduce the CSI feedback of existing algorithms. Most of the prior work on CSI feedback compression considered single-UE systems. Explicitly, we propose a common dictionary learning (CDL) framework for practical frequency-selective channels and design a CD suitable for both single-UE and multi-UE systems. A set of two methods is proposed. Specifically, the first one is the CDL-K singular value decomposition (KSVD) method, which uses the K-SVD algorithm. The second one is the CDL-orthogonal Procrustes (OP) method, which relies on solving the orthogonal Procrustes problem. The CD conceived for exploiting the spatial correlation of channels across all the subcarriers and UEs compresses the CSI at each UE, and upon reception reconstructs it at the BS. Our simulation results show that the proposed dictionary’s estimated channel vectors have lower normalized mean-squared error (NMSE) than the traditional fixed Discrete Fourier Transform (DFT) based dictionary. The CSI feedback is reduced by 50%, and the memory reduction at both the UE and BS starts from 50% and increases with the number of subcarriers
Transient response analysis in IBR-dominated power systems based on short circuit ratio
No full textInverter-based resources (IBRs) play a major role in transition to renewable energy, which poses new threats to the power grid’s stability and dependability. As convention a synchronous generators are replaced by IBR causes decrease in the inertia of the grid. As the penetration level rises, the grid’s strength decreases, making it more vulnerable to disturbances. This paper presents a dynamic performance evaluation of a grid-following inverter(GFLI) under varying grid strengths, characterized by different Short Circuit Ratios (SCRs). The inverter is designed with a constant DC voltage source, an L-filter interface, and a cascaded control structure that includes inner current control loops and outer power control (PQ) executed in the synchronous d q reference frame. The transient behavior and current tracking performance of the inverter are examined by applying a step change in active power reference from 10kW to 11 kW. The Key system responses are observed by time domain simulations. The analysis highlights the influence of grid strength on the Efficiency of the control strategy, especially in weak grid conditions. Results demonstrate that the proposed control strategy maintains stable operation and accurate power delivery under strong to moderately weak grid conditions, while performance degrades significantly under weak grid scenarios (SCR = 1)
Sum-rate maximization of RIS-aided digital and holographic beamformers in MU-MISO systems
No full textReconfigurable holographic surfaces (RHS) are intrinsically amalgamated with reconfigurable intelligent surfaces (RIS), for beneficially ameliorating the signal propagation environment. This potent architecture significantly improves the system performance in non-line-of-sight scenarios at a low power consumption. Briefly, the RHS technology integrates ultra-thin, lightweight antennas onto the transceiver, for creating sharp, high-gain directional beams. We formulate a user sum-rate maximization problem for our RHS-RIS-based hybrid beamformer. Explicitly, we jointly design the digital, holographic, and passive beamformers for maximizing the sum-rate of all user equipment (UE). To tackle the resultant nonconvex optimization problem, we propose an alternating maximization (AM) framework for decoupling and iteratively solving the subproblems involved. Specifically, we employ the zero-forcing criterion for the digital beamformer, leverage fractional programming to determine the radiation amplitudes of the RHS and utilize the Riemannian conjugate gradient algorithm for optimizing the RIS phase shift matrix of the passive beamformer. Our simulation results demonstrate that the proposed RHS-RIS-based hybrid beamformer outperforms its conventional counterpart operating without an RIS in multi-UE scenarios. The sum-rate improvement attained ranges from 8 bps/Hz to 13 bps/Hz for various transmit powers at the base station (BS) and at the UEs, which is significant
Bhaaratha Vivasayi App
No full textAbstract: This study motivates farmers to use an online business stage to shape their income without any middlemen. Online business is one of the quick enterprises on the planet. Numerous organizations were at that point moved to online business and producing immense income inside a brief timeframe. The serious issue is "The farmer who produces nourishment for the country isn't benefitting with the pay". Since there is no such committed stage for farmers to create beneficial pay for their developed items. Existing stages are joined with all classifications (home, kitchen, and electrical apparatuses) of items that could tangle up farmers, and furthermore, the absence of app information is one reason that a farmer will be unable to sell their items on the app. To defeat this, The Bhaaratha Vivasayi app will be useful where a farmer can be ready to sell or buy anything connected with the agribusiness and cultivating classification without middlemen. A basic easy to understand app with numerous rancher merchants and different horticultural items alongside a point-by-point review about the most recent cultivating innovations will definitely shape the cultivating area income. This will help ranchers to get information and save both time and energy. Likewise, new associations and correspondences will be laid out and the item stock will sell effectively with practically no work help. Also, it will help customers to buy organic fresh groceries at a reasonable price directly from farmers. Basically, It is devoted to farmers with all cultivating items like pesticides, seeds, composts, crops, etc. . So, this app will surely play a vital role in uplifting & benefitting framers as well as customers.Published By:
Blue Eyes Intelligence Engineering
and Sciences Publication (BEIESP)
© Copyright: All rights reserved
FIGURE 4 in Establishment of taxonomic status of Macrobrachium indicum Jayachandran & Joseph (Decapoda: Palaemonidae) through molecular characterization with a note on related species
No full textFIGURE 4. NJ tree constructed for various species of Macrobrachium based on COI gene.Published as part of Mary, Ajina S., Jayachandran, K.V., Landge, Asha T., Gladston, Y. & Pavan-Kumar, A., 2019, Establishment of taxonomic status of Macrobrachium indicum Jayachandran & Joseph (Decapoda: Palaemonidae) through molecular characterization with a note on related species, pp. 174-182 in Zootaxa 4652 (1) on page 180, DOI: 10.11646/zootaxa.4652.1.11, http://zenodo.org/record/399558
- …
