Browsing by Author "Yadav, S."

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Durability studies of steel fibre reinforced concrete
(Springer, 2019) Yadav, S.; Das, B.B.; Goudar, S.K.
In the present investigation, the effect of different dosage of steel fibres on bond strength between steel and concrete in reinforced concrete was investigated. As a part of durability study, the combined effect of marine environment and varying levels of pH on the ultimate bond strength retention and compressive strength retention of steel fibre reinforced concrete was also investigated. Durability studies were carried out by exposing the 28 days cured cubical specimens into marine environment having different pH levels (1, 4, 7, 10 and 13). The marine environment was simulated in the laboratory by adding 3.5% NaCl to the tap water. Designed quantity of sulphuric acid was added to salt solution to maintain pH of 1 and 4 in marine environment. Similarly, designed quantity of sodium hydroxide was added to the salt solution to maintain pH of 10 and 13 in marine environment. The specimens were exposed for the durations of 60 and 90 days. The resistance of concrete to marine environment with varying pH was measured through compressive strength retention and ultimate bond strength retention in steel fibre reinforced concrete. The addition steel fibres reduced workability of concrete, especially 1.5% of steel fibres yielded considerably low slump value. The ultimate bond strength and compressive strength values increased due to the addition of steel fibres. The pH of the marine environment has a significant influence on the compressive strength retention and bond strength retention. Exposure to marine environment with pH 1 underwent severe loss in compressive strength and ultimate bond strength with very low strength retention values. However, exposure to marine environment with pH 10 and 13 had minimal strength losses with higher values of compressive strength and ultimate bond strength retention. The alkaline nature of marine environment was not susceptible to strength reduction when compared to neutral (pH 7) and acidic (pH 1) marine environment. The steel fibre reinforced concrete performed better in acidic marine environment compared to control concrete without steel fibres. © Springer Nature Singapore Pte Ltd. 2019.
Effect of Surface Modification on Erosion Behavior of Alumina-Samarium Strontium Aluminate Composite Thermal Barrier Coatings
(Springer, 2025) James J, F.; Arya, S.B.; Yadav, S.; Paul, C.P.
The mechanical and tribological characteristics of a thermal barrier coating are highly critical in gas turbine applications to resist high-temperature oxidation, corrosion, and solid particle erosion. In the present investigation, a composite coating with alumina and samarium strontium aluminate has been developed through a plasma spraying process. The as-coated composite top coat consisted of three phases ?-alumina, ?-alumina, and Sm2SrAl2O7. The as-coated surface is re-engineered with an Nd: YAG fiber laser to improve the mechanical and microstructural properties. The laser-treated samples showed a better erosion resistance than the as-coated samples. Despite the surface treatment, both the as-coated and the laser-treated samples showed a higher ‘average erosion value’ at an impact angle of 90° for the test temperatures of 200 and 800 °C. In addition, the as-coated and the laser-treated samples have a higher erosion rate at 800 than at 200 °C for the selected impact angles, with a mixed mode of material removal presenting both ductile and brittle failure mechanisms. © ASM International 2024.
Mitigation of RPL stateless address auto-configuration IPV6 spoofing attack in IOT
(Apple Academic Press, 2023) Yadav, S.; Gangwar, S.; Kembhavi, P.; Chandavarkar, B.R.; Kamble, S.
As wireless network usage is expanding, attempts are being made to disrupt the smooth functioning of the network. Due to power and memory constraints inherent in the Internet of Things (IoT) devices, implementing security measures becomes an even more significant challenge. There are many ways in which confidential information can be extracted from networks. IP address spoofing is one such attack. IP address spoofing is an illegal, unauthorized change of IP address. Malicious elements in the network impersonate as a genuine client by copying their IP address. As a result, attackers can intercept network communication between genuine clients. A false IP address makes it possible for the attacker to bypass existing security mechanisms, which creates severe security and confidentiality problems. This chapter proposes a method to resolve the issue by ensuring that an incoming node in a network always gets a unique IP address, thus making it difficult for the attacker to disguise itself as a genuine client and carry out the attack. © 2023 Apple Academic Press, Inc. All rights reserved.
Performance assessment of pocket tunnel FET and accumulation mode FET for detection of streptavidin protein
(Institute of Physics, 2023) Jadhav, A.; Yadav, S.; Pandey, S.K.; Garg, V.; Dwivedi, P.
In this paper, Dielectrically Modulated (DM) pocket Tunnel Field Effect Transistor (TFET) and Accumulation Mode Field Effect Transistor (AMFET) biosensors are examined for the Sensitivity estimation of different thicknesses of biotarget (Streptavidin)/bioreceptor (Biotin)/silica binding protein (SBP or APTES) biomolecules with a fully filled and partially filled cavity. The sensitivity parameter is based on realistic process detection and is calculated as the ratio of biotarget to bioreceptor drain current for neutral and charged biomolecules. The effect on the sensitivity for a filled cavity is observed for: a) varying the thickness of streptavidin and Biotin for fixed SBP (APTES) thickness, b) varying the thickness of streptavidin and APTES for fixed biotin thickness, for both Pocket TFET and AMFET. The maximum sensitivity is observed in 4 nm thick streptavidin for the front gate voltage V fg: −3.8 V and V fg: −1.6 V for pocket TFET and AMFET, respectively. © 2023 IOP Publishing Ltd.
Performance Comparison of Transformers and Convolutional Neural Networks (CNNs) Based Architecture on Endoscopy Images
(Institute of Electrical and Electronics Engineers Inc., 2024) Yadav, S.; Aparna., P.
Endoscopy is a widely used medical imaging technique for diagnosing gastrointestinal (GI) disorders. It allows doctors to visualize the internal organs without performing major surgery. The endoscope contains light and a camera, which allows the medical practitioner to see the lining of the digestive tract on a monitor. Wireless Capsule Endoscopy (WCE) which is a nonsurgical procedure, uses a capsule with embedded camera to take images, traditional endoscopy approach allows for a more targeted examination of specific areas of the digestive tract provides detailed and high-resolution images. In this study, we introduce a novel approach for the classification of gastrointestinal (GI) images using the hybrid CNN-ViT architecture, a state-of-the-art architectures to learn the global features of medical images, and comparing results of hybrid architecture with Convolutional Neural Networks (CNNs) and Vision Transformers (ViT). This study focuses on classification of six distinct classes of endoscopy images, namely Ulcerative colitis, Polyp, Esophagitis, Angioectasia, Erosion, and Normal, capturing various states of gastrointestinal conditions and achieving test accuracy, precision, recall and F1 score of 97.91%, 98.01%, 97.91%, and 97.92% respectively. Â© 2024 IEEE.