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A novel approach for speaker diarization system using TMFCC parameterization and Lion optimization

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Journal of Central South University 2017年第11期24卷 2649-2663页

作者： v.Subba ramaiah r.rajeswara rao Mahatma Gandhi Institute of Technology KokapetHyderabadTelangana 500075India Jawaharlal Nehru Technological University kakinada KakinadaAndhra Pradesh 535002India

In audio stream containing multiple speakers, speaker diarization aids in ascertaining "who speak when". This is an unsupervised task as there is no prior information about the speakers. It labels the speech signal conforming to the identity of the speaker, namely, input audio stream is partitioned into homogeneous segments. In this work, we present a novel speaker diarization system using the Tangent weighted Mel frequency cepstral coefficient(TMFCC) as the feature parameter and Lion algorithm for the clustering of the voice activity detected audio streams into particular speaker groups. Thus the two main tasks of the speaker indexing, i.e., speaker segmentation and speaker clustering, are improved. The TMFCC makes use of the low energy frame as well as the high energy frame with more effect, improving the performance of the proposed system. The experiments using the audio signal from the ELSDSr corpus datasets having three speakers, four speakers and five speakers are analyzed for the proposed system. The evaluation of the proposed speaker diarization system based on the tracking distance, tracking time as the evaluation metrics is done and the experimental results show that the speaker diarization system with the TMFCC parameterization and Lion based clustering is found to be superior over existing diarization systems with 95% tracking accuracy.

关键词： speaker diarization Mel frequency cepstral coefficient i-vector extraction Lion algorithm

Effect of Hydrodynamic Conditions on Corrosion Inhibition of Cu-Ni(90/10)Alloy in Seawater and Sulphide Containing Seawater Using 1,2,3-Benzotriazole

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Journal of Materials Science & Technology 2014年第1期30卷 65-76页

作者： B.v.Appa rao k.Chaitanya kumar Department of Chemistry National Institute of Technology Warangal

Electrochemical studies of the effect of hydrodynamic conditions on corrosion inhibition of Cu-Ni （90/10） alloy in synthetic seawater and sulphide containing synthetic seawater by 1,2,3-benzotriazole （BTAH） are presented. Impedance, potentiodynamic polarization and cyclic voltammetric （Cv） studies are employed in the present investigation. The studies are carried out by using Cu-Ni （90/10） alloy rotating disc electrode at different rotation speeds and at different immersion periods. reynolds numbers at each rotation speed infer that the flow of seawater is laminar. With increasing rotation speed of the electrode immersed in seawater without sulphide and BTAH, both the charge transfer resistance （rot） and film resistance （rf^lm） are increased. However, in the presence of sulphide ions and without BTAH, both the rot and rf,m are found to decrease with increasing rotation speed at identical immersion periods. Interestingly, when BTAH is added to seawater or seawater containing sulphide, both the rot and rf,m are increased to such a great extent that an inhibition efficiency of 99.99% is obtained. In the presence of BTAH, the phase angle Bode plots are more broadened and the maximum values of phase angle are increased to a value close to 90~ as the rotation speed is increased. The BTAH film is highly protective even under hydrodynamic condition also. Potentiodynamic polarization studies infer that BTAH functions as a mixed inhibitor under hydrodynamic conditions also. Cv studies reveal that the protective BTAH film is stable even at anodic potentials of ＋850 mv vs Ag/AgCI.

关键词： Cu-Ni (90/10) alloy rotating disc electrode Seawater Corrosion inhibition Electrochemical studies 1,2,3-Benzotriazole

Alkali feldspar syenites with shoshonitic affinities from Chhotaudepur area: Implication for mantle metasomatism in the Deccan large igneous province

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Geoscience Frontiers 2014年第2期5卷 261-276页

作者： k.r.Hari N.v.Chalapathi rao vikas Swarnkar Guiting Hou School of Studies in Geology and Water resource Management Pt.Ravishankar Shukla University Centre of Advance Study in Geology Banaras Hindu University Department of Civil Engineering Yugantar Institute of Technology and Management The key Laboratory of Orogenic Belts and Crustal Evolution Ministry of Education School of Earth and Space Sciences Peking University

Two petrologically distinct alkali feldspar syenite bodies （AFS-1 and AFS-2） from Chhotaudepur area, Deccan Large Igneous Province are reported in the present work. AFS-1 is characterized by hypidio-morphic texture and consists of feldspar （Or55Ab43 to Or25Ab71）, ferro-pargasite/ferro-pargasite horn-blende, hastingsite, pyroxene （Wo47, En5, Fs46）, magnetite and biotite. AFS-2 exhibits panidiomorphic texture with euhedral pyroxene （Wo47-50, En22-39, Fs12e31） set in a groundmass matrix of alkali feldspar （Or99Ab0.77 to Or1.33Ab98）, titanite and magnetite. In comparison to AFS-1, higher elemental concentra-tions of Ba, Sr and PrEE are observed in AFS-2. The average peralkaline index of the alkali feldspar syenites is w1 indicating their alkaline nature. variation discrimination diagrams involving major and trace elements and their ratios demonstrate that these alkali feldspar syenites have a shoshonite affinity but emplaced in a within-plate and rifting environment. No evidence of crustal contamination is perceptible in the multi-element primitive mantle normalized diagram as well as in terms of trace elemental ratios. The enrichment of incompatible elements in the alkali feldspar syenites suggests the involvement of mantle metasomatism in their genesis.

关键词： Alkali feldspar syenite Deccan large igneous province Mineralogy Geochemistry Shoshonite Mantle metasomatism

Implications for the lithospheric structure of Cambay rift zone,western India:Inferences from a magnetotelluric study

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Geoscience Frontiers 2020年第5期11卷 1743-1754页

作者： Nagarjuna Danda C.k.rao Amit kumar P.rama rao P.B.v.Subba rao Dr.k.S.krishnan Geomagnetic research Laboratory IIGAllahabad221505India Indian Institute of Geomagnetism New PanvelNavi Mumbai410218India Department of Geophysics Andhra UniversityVisakhapatnam530003India

Broad-band and long-period magnetotelluric(MT)data were acquired along an east-west trending traverse of nearly 200 km across the kachchh,Cambay rift basins,and Aravalli-Delhi fold belt(ADFB),western *** regional strike analysis of MT data indicated an approximate N59°E geoelectric strike direction under the traverse and it is in fair agreement with the predominant geological strike in the study *** decomposed transverse electric(TE)-and transverse magnetic(TM)-data modes were inverted using a nonlinear conjugate gradient algorithm to image the electrical lithospheric structure across the Cambay rift basin and its surrounding *** studies show a thick(~1-5 km)layer of conductive Tertiary-Mesozoic sediments beneath the kachchh and Cambay rift *** resistive blocks indicate presence of basic/ultrabasic volcanic intrusives,depleted mantle lithosphere,and different Precambrian structural *** crustal conductor delineated within the ADFB indicates the presence of fluids within the fault zones,sulfide mineralization within polyphase metamorphic rocks,and/or Aravalli-Delhi sediments/*** observed conductive anomalies beneath the Cambay rift basin indicate the presence of basaltic underplating,volatile(CO2,H2 O)enriched melts and channelization of melt fractions/fluids into crustal depths that occurred due to plume-lithosphere *** variations in electrical resistivity observed across the profile indicate that the impact of reunion plume on lithospheric structures of the Cambay rift basin is more dominant at western continental margin of India(WCMI)and thus support the hypothesis proposed by Campbell&Griffiths about the plume-lithosphere interactions.

关键词： Cambay rift Deccan basalts Magnetotellurics Partial melt reunion plume

Modelling reference evapotranspiration using gene expression programming and artificial neural network at Pantnagar,India

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Information Processing in Agriculture 2023年第4期10卷 547-563页

作者： Pangam Heramb Pramod kumar Singh k.v.ramana rao A.Subeesh Division of Irrigation and Drainage Engineering ICAR-Central Institute of Agricultural EngineeringBhopal 462038India Department of Irrigation and Drainage Engineering G.B.Pant University of Agriculture and TechnologyPantnagar 263145India Division of Agricultural Mechanization ICAR-Central Institute of Agricultural EngineeringBhopal 462038India

Evapotranspiration is an essential component of the hydrological cycle that is of particular interest for water resource *** quantification is helpful in irrigation scheduling,water balance studies,water allocation,*** of reference evapotranspiration(ET0)using both gene expression programming(GEP)and artificial neural network(ANN)techniques was done using the daily meteorological data of the Pantnagar region,India,from 2010 to 2019.A total of 15 combinations of inputs were used in developing the ET0 *** model with the least number of inputs consisted of maximum and minimum air temperatures,whereas the model with the highest number of inputs consisted of maximum air temperature,minimum air temperature,mean relative humidity,number of sunshine hours,wind speed at 2mheight and extra-terrestrial radiation as inputs and with ET0 as the output for all the *** the GEP models were developed for a single functional set and pre-defined genetic operator values,while the best structure in each ANN model was found based on the performance during the testing *** was found that ANN models were superior to GEP models for the estimation *** was evident from the reduction in rMSE values ranging from 2%to 56%during training and testing phases in all the ANN models compared with GEP *** ANN models showed an increase of about 0.96%to 9.72%of r2 value compared to the respective GEP *** comparative study of these models with multiple linear regression(MLr)depicted that the ANN and GEP models were superior to MLr models.

关键词： Artificial Neural Networks Evolutionary algorithms Gene Expression Programming Machine Learning regression Analysis reference evapotranspiration models

Genotype×year interaction of pod and seed mass and stability of Pongamia pinnata families in a semi-arid region

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Journal of Forestry research 2020年第4期31卷 1333-1346页

作者： G.r.rao B.Sarkar B.M.k.raju P.Sathi reddy A.v.M.Subba rao Jessie rebecca ICAr-Central research Institute for Dryland Agriculture SantoshnagarHyderabadTelangana State 500059India Tropical Forest research Institute(TFrI) Indian Council of Forestry Research&EducationMinistry of EnvironmentForest&Climate ChangeGovt.of IndiaJabalpur 482021India

Sixteen pongamia families were evaluated in a field experiment for eight consecutive years in dryland conditions to identify stable,high-yielding *** trial was conducted in a randomized complete block design with three *** family,consisting of nine trees per replication,was planted at a spacing of3 m x 3 *** stability was analyzed using(1)Eberhart and russel’s regression coefficient(β_i)and deviation from regression(S_d^2),(2)Wrike’s ecovalence(W_i);(3)Shukla stability variance(σ_i^2);and(4)Piepho and Lotito’s stability index(L_i).Families were also analyzed for adaptability and stability using AMMI and GGE biplots graphical *** study revealed significant variances due to family and family x year interaction for pod and seed *** performed differently and ranked differently across *** performance of families was influenced by both genetic factor and environmental conditions in different *** families tested,TNMP20,Acc14,TNMP14 and Acc30 were high yielders for pods,and Acc14,Acc30,TNMP6,rAk19 and TNMP14 were high for seed *** to the Eberhart and russell model,Acc30,TNMP14 and TNMP3 were stable across *** the graphical view of family x year interaction based on AMMI methods,TNMP3,TNMP4 and TNMP14 had greater stability with moderate seed yield,and Acc14 and Acc30 had moderate stability with high seed *** the other hand,GGE biplots revealed Acc14,Acc30 and TNMP14 as high yielders with moderate *** and GGE biplots were able to capture nonlinear parts of the family x year interaction that were not be captured by the Eberhart and russel model while also identifying stable *** on different methodologies,Acc14,Acc30 and TNMP14 were identified as high yielding and stable families for promoting pongamia cultivation as a biofuel crop for semi-arid regions.

关键词： Biofuel Pongamia Genetic diversity Stability AMMI (additive main effects multiplicative interaction) GGE biplots Multi-year trial SvD(singular value decomposition)

Superconducting magnetic energy storage for stabilizing grid integrated with wind power generation systems

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Journal of Modern Power Systems and Clean Energy 2019年第2期7卷 400-411页

作者： Poulomi MUkHErJEE v. v. rao Applied Superconductivity Laboratory Cryogenic Engineering Centre Indian Institute of TechnologyKharagpur

Due to the interconnection of various renewable energies and adaptive technologies, voltage quality and frequency stability of modern power systems are becoming erratic. Superconducting magnetic energy storage(SMES),for its dynamic characteristic, is very efficient for rapid exchange of electrical power with grid during small and large disturbances to address those *** addition,SMES plays an important role in integrating renewable sources such as wind generators to power grid by controlling output power of wind plant and improving the stability of power *** application of SMES in various power system operations depends on the proper location in the power system, exact energy and power ratings and appropriate controllers. In this paper, an effort is given to explain SMES device and its controllability to mitigate the stability of power grid integrated with wind power generation systems.

关键词： Power fluctuation Power quality Low voltage ride through Superconducting magnetic energy storage Superconductors Wind energy

Analysis of vibrational spectra of nano-bio molecules: Application to metalloporphrins

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Chinese Physics B 2013年第9期22卷 225-232页

作者： k Srinivasa rao G Srinivas J.vijayasekhar v.U.M.rao Y.Srinivas k.Sunil Babu v.Sunndadara Siva kumar A.Hanumaiah Department of Electronics & Instrumentation Engineering Lakireddy Bali Reddy College of Engineering Department of Physics KL University research Scholar Department of MathematicsJawaharlal Nehru Technological University Department of Applied Mathematics College of Science & TechnologyAndhra University Department of Computer Science GITAM University Department of Physics Miracle Engineering College Department of Electronics & Instrumentation Rajeev Gandhi Memorial Engineering College Department of Physics Lara's Vignan Institute of Technology and Science

In this paper, we have applied the Lie algebraic model to nano-bio molecules to determine the vibrational spectra of different stretching and bending vibrational modes. The determined vibrational energy levels by the Lie algebraic model are compared with the experimental data. The results from the theoretical mode[ are consistent with the experimental data. The vibrational energy levels are clustering in the excited states.

关键词： Lie algebraic model vibrational spectra vibrational modes metalloporphyrins

Navigation of Non-holonomic Mobile robot Using Neuro-fuzzy Logic with Integrated Safe Boundary Algorithm

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International Journal of Automation and computing 2017年第3期14卷 285-294页

作者： A. Mallikarjuna rao k. ramji B.S.k. Sundara Siva rao v. vasua C. Puneeth Department of Mechanical Engineering V R Siddhartha Engineering College Vijayawada A.P India Department of Mechanical Engineering A.U. College of Engineering Andhra University Visakhapatnam A.P India Department of Mechanical Engineering National Institute of Technology-Warangal Telangana India

In the present work, autonomous mobile robot（AMr） system is intended with basic behaviour, one is obstacle avoidance and the other is target seeking in various environments. The AMr is navigated using fuzzy logic, neural network and adaptive neurofuzzy inference system（ANFIS） controller with safe boundary algorithm. In this method of target seeking behaviour, the obstacle avoidance at every instant improves the performance of robot in navigation approach. The inputs to the controller are the signals from various sensors fixed at front face, left and right face of the AMr. The output signal from controller regulates the angular velocity of both front power wheels of the AMr. The shortest path is identified using fuzzy, neural network and ANFIS techniques with integrated safe boundary algorithm and the predicted results are validated with experimentation. The experimental result has proven that ANFIS with safe boundary algorithm yields better performance in navigation, in particular with curved/irregular obstacles.

关键词： robotics autonomous mobile robot(AMr) navigation fuzzy logic neural networks adaptive neuro-fuzzy inference system(ANFIS) safe boundary algorithm