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Study of Temperature Distribution Along an Artificially Polluted Insulator String

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Plasma Science and Technology 2003年第2期5卷 1715-1720页

作者： B subba reddy G R Nagabhushana Department of High Voltage Engineering Indian Institute of ScienceDepartment of High Voltage Engineering Indian Institute of Science Bangalore 560012 India Bangalore 560012 India

Insulator becomes wet partially or completely, and the pollution layer on itbecomes conductive, when collecting pollutants for an extended period during dew, light rain, mist,fog or snow melting. Heavy rain is a complicated factor that it may wash away the pollution layerwithout initiating other stages of breakdown or it may bridge the gaps between sheds to promoteflashover. The insulator with a conducting pollution layer being energized, can cause a surfaceleakage current to flow (also temperature-rise). As the surface conductivity is non-uniform, theconducting pollution layer becomes broken by dry bands (at spots of high current density),interrupting the flow of leakage current. Voltage across insulator gets concentrated across drybands, and causes high electric stress and breakdown (dry band arcing). If the resistance of theinsulator surface is sufficiently low, the dry band arcs can be propagated to bridge the terminalscausing flashover. The present paper concerns the evaluation of the temperature distribution alongthe surface of an energized artificially polluted insulator string.

关键词： temperature distribution artificially polluted insulator string

Development of cost effective personnel armour through structural hybridization

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Defence Technology（防务技术） 2020年第6期16卷 1089-1097页

作者： P.Rama subba reddy T.Sreekantha reddy I.Srikanth Juhi Kushwaha V.Madhu Defence Metallurgical Research Laboratory Hyderabad500058India Advanced Systems Laboratory Hyderabad500058India

The objective of the present study is to develop cost effective thermoplastic hybrid laminate using Dyneema®HB50 and Tensylon®HSBD 30A through structural hybridization *** having 20 mm thickness were fabricated and subjected to 7.6239 mm mild steel core projectile with an impact velocity of 730±10 ms*** such as energy absorption,back face deformation and rate of back face deformation were measured as a function of hybridization *** was observed that hybrid laminate with 50:50 ratio(w/w)of Tensylon®and Dyneema®with Tensylon®as front face showed 200%more energy absorption when compared to 100%Tensylon®laminate and showed equal energy absorption as that of expensive 100%Dyneema®***,hybrid laminate with TD50:50 ratio showed 40%lower in terms of final back face deformation than Dyneema®*** of back face deformation was also found to be slow for hybrid laminate as compared to Dyneema®*** mechanical analysis showed that,Tensylon®laminate has got higher stiffness and lower damping factor than Dyneema®and hybrid *** interface between Tensylon®and Dyneema®layers was found to be separating during the penetration process due to the poor interfacial *** behaviour of laminates for different hybridization ratios were studied by sectioning the impacted *** was observed that,the Tensylon®laminate has undergone shear cutting of fibers as major failure mode whereas the hybrid laminate showed shear cutting followed by tensile stretching,fiber pull out and *** inputs are highly useful for body armour applications to design cost effective armour with enhanced performance.

关键词： Dyneema® Tensylon® Hybrid laminate Ballistic impact Energy absorption Back face signature

Thinking outside the liver: Induced pluripotent stem cells for hepatic applications

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World Journal of Gastroenterology 2013年第22期19卷 3385-3396页

作者： Mekala subba Rao Mitnala Sasikala D Nageshwar reddy Institute of Basic Sciences and Translational Research Asian Healthcare Foundation Asian Institute of Gastroenterology Hyderabad 500082 India Asian Healthcare Foundation Asian Institute of Gastroenterology Hyderabad 500082 India

The discovery of induced pluripotent stem cells (iPSCs) unraveled a mystery in stem cell research, after identification of four re-programming factors for generating pluripotent stem cells without the need of embryos. This breakthrough in generating iPSCs from somatic cells has overcome the ethical issues and immune rejection involved in the use of human embryonic stem cells. Hence, iPSCs form a great potential source for developing disease models, drug toxicity screening and cell-based therapies. These cells have the potential to differentiate into desired cell types, including hepatocytes, under in vitro as well as under in vivo conditions given the proper microenvironment. iPSC-derived hepatocytes could be useful as an unlimited source, which can be utilized in disease modeling, drug toxicity testing and producing autologous cell therapies that would avoid immune rejection and enable correction of gene defects prior to cell transplantation. In this review, we discuss the induction methods, role of reprogramming factors, and characterization of iPSCs, along with hepatocyte differentiation from iPSCs and potential applications. Further, we discuss the location and detection of liver stem cells and their role in liver regeneration. Although tumor formation and genetic mutations are a cause of concern, iPSCs still form a promising source for clinical applications.

关键词： Liver stem cells Hepatocytes Disease modeling Drug toxicity Clinical applications Patient-specific induced pluripotent stem cell-derived hepatocytes

Dilatometric Sintering of Ti-2A1 and Ti-5AI Elemental Powders

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Journal of Materials Science & Technology 2007年第3期23卷 363-366页

作者： Bharat B.PANIGRAHI N.subba reddy Karabi DAS M.M.GODKHINDI Department of Metallurgical and Materials Engineering Indian Institute of Technology Kharagpur

The effect of Al addition （2 and 5 at. pct） on sintering kinetics of Ti power were investigated. Al reduces the sintering rates, sinter density, increases activation energy of sintering and accelerates the grain growth. Sintering was controlled by mixed mode, i.e. transient liquid phase sintering, formation of intermetallics, and Ti grain boundary diffusion in TiAl2 and other intermetallics.

关键词： Dilatometry Sintering Diffusion Activation energy

Synthesis,isolation,identification and characterization of new process-related impurity in isoproterenol hydrochloride by HPLC,LC/ESI-MS and NMR

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Journal of Pharmaceutical Analysis 2017年第6期7卷 394-400页

作者： Neeraj Kumar subba Rao Devineni Prasad reddy Gajjala Shailendra Kumar Dubey Pramod Kumar Chemical Research Department Micro Labs LtdAPI DivisionBommasandra-Jigani Link RoadKIADB INDL AreaBommasandraBangalore 560105KarnatakaIndia

One unknown impurity （Imp-II） during the analysis of laboratory batches of isoproterenol hydrochloride was detected in the level ranging from 0.04% to 0.12% by high performance liquid chromatography with UV detection. The unknown impurity structure was proposed as 4-[2-（propan-2oylamino）ethyl]benzene-l,2-diol （Imp-II） using the liquid chromatography-mass spectrophotometry （LC-MS） analysis. Imp-II was isolated by semi-preparative liquid chromatography from the impurity-enriched reaction crude sample. Its proposed structure was confirmed by nuclear magnetic spectroscopy such as 1H, 13C, DEPT （1D NMR）, HSQC （2D NMR） and infrared spectroscopy （IR）, and retention time and purity with HPLC followed by the chemical synthesis. Due to less removable nature of Imp-II during the purification, the synthetic process was optimized proficiently to control the formation of Imp-II below to the limit 〈 0.12% in the course of reaction. The new chemical route was developed for the preparation of this impurity in required quantity with purity to use as reference standard. The most probable mechanism for the formation of Imp-II was discussed in details.

关键词： Isoproterenol hydrochloride Impurities HPLC NMR

Enhanced Energy Efficient with a Trust Aware in MANET for Real-Time Applications

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Computers, Materials & Continua 2023年第4期75卷 587-607页

作者： M.V.Narayana Vadla Pradeep Kumar Ashok Kumar Nanda Hanumantha Rao Jalla subba reddy chav.a Department of CSE Guru Nanak Institutions Technical CampusHyderabadRanga Reddy DistrictTelangana501506India Department of CSE B V Raju Institute of TechnologyNarsapurMedakTelangana502313India Department of CSE T.R.R.Government Degree College KandukurKandukurA.P.523105India Department of IT VFST&Research(Deemed to be University)VadlamudiA.P.522213India

Mobile ad hoc networks (MANETs) are subjected to attack detectionfor transmitting and creating new messages or existing message *** attacker on another node evaluates the forging activity in themessage directly or indirectly. Every node sends short packets in a MANETenvironment with its identifier, location on the map, and time through *** attackers on the network broadcast the warning message usingfaked coordinates, providing the appearance of a network collision. Similarly,MANET degrades the channel utilization performance. Performancehighly affects network performance through security algorithms. This paperdeveloped a trust management technique called Enhanced Beacon TrustManagement with Hybrid Optimization (EBTM-Hyopt) for efficient clusterhead selection and malicious node detection. It tries to build trust amongconnected nodes and may improve security by requiring every participatingnode to develop and distribute genuine, accurate, and trustworthy materialacross the network. Specifically, optimized cluster head election is done periodicallyto reduce and balance the energy consumption to improve the lifetimenetwork. The cluster head election optimization is based on hybridizingParticle Swarm Optimization (PSO) and Gravitational Search OptimizationAlgorithm (GSOA) concepts to enable and ensure reliable routing. Simulationresults show that the proposed EBTM-HYOPT outperforms the state-of-thearttrust model in terms of 297.99 kbps of throughput, 46.34% of PDR, 13%of energy consumption, 165.6 kbps of packet loss, 67.49% of end-to-end delay,and 16.34% of packet length.

关键词： MANET malicious nodes clustering trust management beacon message

Software Defect Prediction Based Ensemble Approach

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Computer Systems Science & Engineering 2023年第6期45卷 2313-2331页

作者： J.Harikiran B.Sai Chandana B.Srinivasarao B.Raviteja Tatireddy subba reddy School of Computer Science and Engineering VIT-AP UniversityAmaravathi522237India Department of Computer Science and Engineering GITAM Deemed to be UniversityTelangana502329India Department of Computer Science and Engineering B.V.Raju Institute of Technology NarsapurMedakTelangana502313India

Software systems have grown significantly and in *** a result of these qualities,preventing software faults is extremely *** defect prediction(SDP)can assist developers in finding potential bugs and reducing maintenance *** it comes to lowering software costs and assuring software quality,SDP plays a critical role in software *** a result,automatically forecasting the number of errors in software modules is important,and it may assist developers in allocating limited resources more *** methods for detecting and addressing such flaws at a low cost have been *** approaches,on the other hand,need to be significantly improved in terms of *** in this paper,two deep learning(DL)models Multilayer preceptor(MLP)and deep neural network(DNN)are *** proposed approaches combine the newly established Whale optimization algorithm(WOA)with the complementary Firefly algorithm(FA)to establish the emphasized metaheuristic search EMWS algorithm,which selects fewer but closely related representative *** find the best-implemented classifier in terms of prediction achievement measurement factor,classifiers were applied to five PROMISE repository *** compared to existing methods,the proposed technique for SDP outperforms,with 0.91%for the JM1 dataset,0.98%accuracy for the KC2 dataset,0.91%accuracy for the PC1 dataset,0.93%accuracy for the MC2 dataset,and 0.92%accuracy for KC3.

关键词： Prediction of a software defect deep learning models enhancedWOA firefly algorithm

Generalized Fuzzy Data Mining for Incomplete Information

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Journal of Software Engineering and Applications 2018年第6期11卷 285-298页

作者： Poli Venkata subba reddy Department of Computer Science and Engineering Sri Venkateswara University Tirupati India

Defining data with fuzziness made the knowledge discovery process easy and secure to data in data mining. The fuzzy data bases may have linguistic variables. In this paper, fuzzy conditional inference and reasoning are studied for generalized fuzzy data mining. Generalized fuzzy data mining and reasoning is studied with two membership functions “Belief” and “Disbelief”. The fuzzy logic with two membership functions will give more evidence than single membership function. The fuzzy certainty factor is studied as difference between these functions and made it as single membership function. The fuzzy data mining methods are studied. The generalized data mining is studied with different fuzzy conditional inferences. The business intelligence is given as an example.

关键词： Fuzzy Logic Generalized Fuzzy Logic Fuzzy Certainty Factor Business Intelligence

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)