54 research outputs found
Language and Strategy in the Novel Totta Alai Todatha Alai
As a phenomenon of nature, every human being in this world is born without any problem. Not just the experience of birth. Even if we experience it, it is not recorded in our mind and does not understand. When it comes to death every human feels compelled to the last drop. But he dies before realizing it. Birth is a wave that does not touch him. Death touched wave. This is the central theme of the novel Totta Alai Todatha Alai. What adds specialness to the novel Totta Alai Todatha Alai is its style of language. Style is the structure of language that describes the object taken. The creator who lives in the society creates only the experiences he has in the society. Personality is the predominance of his experiences. Language style is the system of style followed by an author to express his work. The creator wants his creation to touch people's hearts. He uses simple language style and techniques to impress the reader with the idea he wants to convey. In this way, this article aims to fully classify and examine the language style and strategy of S Sankara Narayan's Totta Alai Thodatha Alai novel, which has made its own place in the world of Tamil literature. The novel Totta Alai Todatha Alai, which deals extensively with death, is a prize-winning novel of the Tirupur Tamil Society
Hybrid Approach for Global Path Selection & Dynamic Obstacle Avoidance for Mobile Robot Navigation
Critical current degradation in HTS wires due to cyclic mechanical strain
HTS wires, which may be used in many devices such as magnets and rotating machines, may be subjected to mechanical strains from electromagnetic, thermal and centripetal forces. In some applications these strains will be repeated several thousand times during the lifetime of the device. We have measured critical current degradation due to repeated strain cycles for both compressive and tensile strains. Results for BSCCO-2223 HTS conductor samples are presented for strain values up to 0.5% and cycle numbers up to and beyond 10/sup 4/
Electropolishing of electroplated silver
Electropolishing of silver from cyanide based electrolytes is investigated and reported in this paper. Effect of varyin~ bath ingredients, addition of certain additives, influence of applied voltage resulting current-time behaviour,dissolution rate of silver, surface appearance aDd brightness after treatment etc. are studied in detail to arrive at the optimum composition and operating parameters
A REVIEW OF IDENTIFICATION AND DIAGNOSIS OF CROP LEAF DISEASES BASED ON MACHINE AND DEEP LEARNING TECHNIQUES
Paddy Doctor: A Visual Image Dataset for Paddy Disease Classification
One of the critical biotic stress factors paddy farmers face is diseases
caused by bacteria, fungi, and other organisms. These diseases affect plants'
health severely and lead to significant crop loss. Most of these diseases can
be identified by regularly observing the leaves and stems under expert
supervision. In a country with vast agricultural regions and limited crop
protection experts, manual identification of paddy diseases is challenging.
Thus, to add a solution to this problem, it is necessary to automate the
disease identification process and provide easily accessible decision support
tools to enable effective crop protection measures. However, the lack of
availability of public datasets with detailed disease information limits the
practical implementation of accurate disease detection systems. This paper
presents Paddy Doctor, a visual image dataset for identifying paddy diseases.
Our dataset contains 13,876 annotated paddy leaf images across ten classes
(nine diseases and normal leaf). We benchmarked the Paddy Doctor using a
Convolutional Neural Network (CNN) and two transfer learning approaches, VGG16
and MobileNet. The experimental results show that MobileNet achieves the
highest classification accuracy of 93.83\%. We release our dataset and
reproducible code in the open source for community use
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