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1
Content available La poésie mystique indienne est-elle morte ?
100%
Kumar S.
Svět literatury – Časopis pro novodobé literatury (World of Literature – Journal for Modern Literatures)
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2022
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tom 32
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nr Special Issue
201-215
EN
The present article is an attempt at understanding the various stages of artistic expressions through which Indian mystic poetry has passed and argues that this art form has not become stagnant or dead. It aims to show that it continues to flourish and evolve. It also focuses on a period of transition where a new poetry seems to appear against the background of conventional poetry. This article deals with the concerned question from a critical point of view and clearly marks the various phases of its development, divided into three different stages. It explains that each phase, though complete in itself, serves as a link to the following one. The utmost care has been taken to present the arguments related to mystic poetry in as clear a manner as possible so as to remove the misperceptions that prevails about it. Some important poets like Maithili Sharan Gupt, Mahadevi Verma and Harivansh Rai Bachchan have been discussed in this article in order to have a synoptic view of growth and evolution of Indian mystic poetry. In short, an attempt has been made to present a journey of Indian mystic poetry from the 19th century to the post-Independence period.
2
Content available Subsampling The Non-Respondents in Cluster Sampling on Sampling on Two Successive Occasions
63%
Singh H. P. , Kumar S.
Statistics in Transition new series
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2011
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tom 12
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nr 1
9-24
EN
The problem of estimation of finite population mean for current occasion in the context of cluster sampling on two successive occasions when there is non-response on both the occasions. Estimators for the current occasion are derived as the particular case when there is non-response on first occasion and second occasion only. A comparison between variances of the estimates is studied. An empirical study is made to study the performance of the proposed strategy.
3
Content available Adaptive and precise peak detection algorithm for fibre Bragg grating using generative adversarial network
63%
Kumar S. , Sengupta S.
Opto-Electronics Review
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2022
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tom Vol. 30, No. 4
art. no. e144227
EN
An adaptive and precise peak wavelength detection algorithm for fibre Bragg grating using generative adversarial network is proposed. The algorithm consists of generative model and discriminative model. The generative model generates a synthetic signal and is sampled for training using a deep neural network. The discriminative model predicts the real fibre Bragg grating signal by the calculation of the loss functions. The maxima of loss function of the discriminative signal and the minima of loss function of the generative signal are matched and the desired peak wavelength of fibre Bragg grating is determined. The proposed algorithm is verified theoretically and experimentally for a single fibre Bragg grating peak. The accuracy has been obtained as ±0.2 pm. The proposed algorithm is adaptive in the sense that any random fibre Bragg grating peak can be identified within a short wavelength range.
4
Content available Predicting wealth score from remote sensing satellite images and household survey data using deep learning
51%
Shekhar S. , Singh P. , Mishra R. , Kumar S.
Computer Assisted Methods in Engineering and Science
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2024
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tom Vol. 31, no. 3
351--387
EN
The most exigent call of the United Nations’ 17 sustainable goals is to end poverty every-where by 2030. Unlike in the past, when poverty was measured based on data collectedthrough ground-level surveys, the new technology adopted by many developing and devel-oped countries is to estimate the poverty index using remote sensing satellite images withthe help of machine learning techniques. Our approach demonstrates the prediction ofcluster wealth score and establishes the relationship between wealth score obtained fromDemographic and Health Survey (DHS) data and remote sensing satellite images of In-dia by calculating Pearson’s correlation coefficient (r2). The implementation results havebeen analyzed in four phases. Phase 1 comprises four regression models (RMs): Ridge,RANSAC, Lasso, andk-nearest neighbor for feature extraction from a pre-trained con-volutional neural network model using daylight & nightlight images. Here, the Lasso RMoutperforms the others and is best suited for predicting the wealth score. Phase 2 cat-egorizes daylight images with DHS data, where the Lasso RM efficiently generates thecluster wealth score. Phase 3 focuses on images of specific regions of Delhi, Tamil Nadu, Maharashtra and Telangana, using the Lasso RM, as it emerged as the best predictor ofcluster wealth score in the previous two phases. Phase 4 compares the results attainedthrough our proposed model with existing results.
5
Content available Susceptor-Assisted Rapid Microwave Sintering of Al-Kaolin Composite in a Single-Mode Cavity
51%
Venkatesh V. S. S. , Kumar S. , Patnaik L.
Archives of Metallurgy and Materials
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2023
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tom Vol. 68, iss. 2
799--806
EN
The present research addresses the low-temperature sintering of 4% kaolin clay reinforced aluminium composite using susceptor-aided microwave sintering at 2.45 GHz frequency. Kaoline clay the naturally available mineral in the north-eastern regions of india. The study aims to convert this kaoline clay into the value added product with enhanced mechanical properties. The Al-x% Kaolin (x = 2, 4, 6, 8, 10) composite was fabricated through the powder metallurgy process by the application of 600 MPa compaction pressure. The composite corresponding to optimum ultimate tensile strength (U.T.S) was subjected to single-mode cavity microwave-assisted sintering by varying the sintering temperatures as 500°C, 550°C and 600°C. The effect of incorporating kaolin clay on the dielectric characteristics of composite powders, as well as the effect of sintering temperature on the microstructural changes and mechanical characteristics of Al-4%Kaolin composites were also examined. Results concluded that the addition of 4 wt% kaolin powder improves the dielectric characteristics of the composite powder. The maximum Hardness. Compression strength and U.T.S of 97 Hv, 202 MPa and 152 MPa respectively achieved for the Al-4% Kaolin composite sintered at 550°C. The higher fracture toughness of 9.56 Ma. m1/2 reveals the ductile fracture for the composite sintered at 550°C.
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