Institution
Techno India
About: Techno India is a based out in . It is known for research contribution in the topics: Computer science & Cloud computing. The organization has 4724 authors who have published 4005 publications receiving 34112 citations.
Topics: Computer science, Cloud computing, Wireless sensor network, Deep learning, Ultimate tensile strength
Papers published on a yearly basis
Papers
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TL;DR: This article examined the modern pollen palynomorphs distribution complemented with non-pollen palynmorphs (NPPs) and stable carbon isotopic data of soil organic matter (SOM) to explore relationships of...
Abstract: We examined the modern pollen palynomorphs (PP) distribution complemented with non-pollen palynomorphs (NPP) and stable carbon isotopic data of soil organic matter (SOM) to explore relationships of...
12 citations
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TL;DR: In this paper, the performance and emission characteristics of a single cylinder diesel engine fueled with Naviculla Sp. algae oil methyl ester and its diesel blends with MgO nano additives were evaluated with the variation of load and compression ratio, and the empirical outcomes expose that the use of biodiesel with nano-additives in compression ignition engine has revealed the improve in engine performance and reduction in exhaust emissions.
12 citations
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TL;DR: Both estriol and progesterone might be involved in the prevention of type 1 diabetes mellitus through the hepatic insulin synthesis even when the pancreatic insulin synthesis was impaired.
Abstract: As much as 20% of the women in menopause are reported to develop type I diabetes mellitus The cessation of the ovarian syntheses of the female sex hormones is known to cause menopause in women, and the roles of estriol (one of the most abundant estrogens) and progesterone were investigated for hepatic insulin synthesis through estriol and progesterone induced synthesis of nitric oxide in the liver cells Type 1 Diabetic mellitus mice were prepared by alloxan treatment, Nitric oxide was determined by methemoglobin method Insulin was determined by enzyme linked immunosorbant assay Injection of either 35 µM estriol or 35 nM progesterone to the diabetic mice which cannot synthesize pancreatic insulin, reduced the blood glucose level from 600 mg/dl to 120 mg/dl and 500 ± 25 mg/dl to 120 ± 6 mg/dl in 6 and 10 h respectively with simultaneous increase of the plasma insulin from 0 µunits/ml to 40 µunits/ml and 0 µunits/ml to 95 µunits/ml in the case of estriol and progesterone respectively with stimulated NO synthesis The inhibition of the steroids induced NO synthesis by using NAME (NG-methyl-l-arginine acetate ester) in the reaction mixture resulted in the inhibition of hepatic insulin synthesis Use of pure NO solution in 09% NaCl instead of either estriol or progesterone in the reaction mixture was found to stimulate the hepatic insulin synthesis Both estriol and progesterone might be involved in the prevention of type 1 diabetes mellitus through the hepatic insulin synthesis even when the pancreatic insulin synthesis was impaired
12 citations
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01 Jan 2021TL;DR: This chapter explains the speech signal in moving objects depending on the recognition field by retrieving the name of individual voice speech and speaker personality using back propagation algorithm to a format picture.
Abstract: This chapter explains the speech signal in moving objects depending on the recognition field by retrieving the name of individual voice speech and speaker personality. The adequacy of precisely distinguishing a speaker is centred exclusively on vocal features, as voice contact with machines is getting more pervasive in errands like phone, banking exchanges, and the change of information from discourse data sets. This audit shows the location of text-subordinate speakers, which distinguishes a solitary speaker from a known populace. The highlights are eliminated; the discourse signal is enrolled for six speakers. Extraction of the capacity is accomplished utilizing LPC coefficients, AMDF computation, and DFT. By adding certain highlights as information, the neural organization is prepared. For additional correlation, the attributes are put away in models. The qualities that should be characterized for the speakers were acquired and dissected utilizing back propagation algorithm to a format picture.
12 citations
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01 Jan 2014TL;DR: This attempt has been obtained to answer the query that whether Petri Net is an adequate tool for modeling such a complex process as a complete composition of music from the fundamental musical objects like vocal and rhythmic structures is.
Abstract: Petri Nets are modeling tools that are used in an enormous number of real-world simulations and scientific problems. The primary objective of this paper is establishing that Petri Net is one important tool that represents quality music compositional analysis process. In this work this has been illustrated how music structures can be processed by means of a more abstract kind of representation and allow to explicitly describing the process of computational modeling of Musicology that present the attempt on music composition from the fundamental musical objects like vocal and rhythmic cycles usage using Petri Net. This attempt has been obtained to answer the query that whether Petri Net is an adequate tool for modeling such a complex process as a complete composition of music from the fundamental musical objects like vocal and rhythmic structures is. The main focus behind this work is to explore that Petri nets can be used as a good basis for retrieval of music information in World Music.
12 citations
Authors
Showing all 4724 results
Name | H-index | Papers | Citations |
---|---|---|---|
Subir Sarkar | 149 | 1542 | 144614 |
Anil Kumar | 99 | 2124 | 64825 |
Gajendra P. S. Raghava | 66 | 326 | 16671 |
Raj Jain | 64 | 424 | 30018 |
James D. Herbsleb | 58 | 174 | 17862 |
Bhalchandra M. Bhanage | 55 | 550 | 12500 |
Panniyammakal Jeemon | 54 | 135 | 58676 |
Sandeep Singh | 52 | 670 | 11566 |
Bidyut B. Chaudhuri | 51 | 368 | 11368 |
Donald R. Baer | 51 | 244 | 10679 |
Chandra P. Sharma | 48 | 325 | 12100 |
Ravi Kumar | 48 | 719 | 10970 |
Nilanjan Dey | 48 | 475 | 9160 |
K. P. Ramesh | 47 | 391 | 7504 |
Sunil Luthra | 45 | 162 | 6485 |