Ravi Bhushan Bhardwaj | Madan Mohan Malaviya University of Technology, Gorakhpur (original) (raw)

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Papers by Ravi Bhushan Bhardwaj

Indian Journal of Health Care, Medical & Pharmacy Practice

Detection of Optic Disc segmentation in retinal fundus images is important step in identification... more Detection of Optic Disc segmentation in retinal fundus images is important step in identification of various abnormal conditions like diabetic retinopathy, Glaucoma etc. and is an important part of eye that is routinely examined. We have used Segment Anything model (SAM) by Meta AI and based fine-tuned model MedSAM for segmentation of optic disc in retinal fundus images. We have used Indian Diabetic Retinopathy dataset (IDRiD) segmentation part. It consists of 81 original colour fundus images in jpg files split into train and test set. Ground-truth images for the lesions (Microaneurysms, Haemorrhages, Hard Exudates and Soft Exudates divided into train and test set - TIF Files) and Optic Disc (divided into train and test set - TIF Files). This dataset is feed into the deep learning neural network model; Segment Anything Model (SAM) and MedSAM for the image segmentation task. The Dice Similarity Coefficient (DSC) is used in the experiment for observing the model performance. We have u...

International Journal For Science Technology And Engineering, 2020

Earthquakes are caused by rupture of rock zones called faults. The earth's surface consists of te... more Earthquakes are caused by rupture of rock zones called faults. The earth's surface consists of tectonic plates which move relative to one another building strain energy along the plate boundaries. When this energy exceeds the capacity of the rock materials along the fault surface, the fault ruptures with seismic waves transmitted through hard bedrock layers. When an earthquake occurs, seismic waves radiate away from the source and travel rapidly through the earth's crust. When these waves reach the ground surface, they produce shaking that may last from seconds to minutes. The strength and duration of shaking at a particular site depends on the size and location of the earthquake and on the characteristics of the site. Traditional techniques of house building have proven in past earthquakes their ability to withstand these seismic waves. During the 1905 Kangra earthquake, the traditional Kat-Ki Kunni houses in Kullu valley made up of timber remained unaffected. The Dhajji-Diwari buildings remained intact in the 1885 Srinagar earthquake. In Uttarkashi the traditional 100 years old multistoried buildings called Pherols have incorporated basic features of earthquake resistance. This paper focuses on the study of these traditional buildings ability to resist earthquakes.

International Journal of Engineering Applied Sciences and Technology, 2020

Sudden shaking of ground by the seismic waves is termed as Earthquake. Earthquake is the word wit... more Sudden shaking of ground by the seismic waves is termed as Earthquake. Earthquake is the word with which we all are familiar for centuries. Countries like Japan have been dealing with earthquake and developed technologies in past that are still valid today. Today we have technologies recently developed successfully designed for the Earthquake resistant structures. Passive Vibration Isolation devices are one of the technologies used widely now a day. This paper focuses on the Passive vibration Isolation devices used as recent development in buildings. Passive Vibration Isolation refers to the isolation of the vibration by passive techniques. Common passive techniques include Pneumatic or air isolators, Mechanical springs and spring dampers, pads like made of rubber, Tuned mass dampers, Kinematic isolators and like many more. Many countries are widely and principally used this technology like Japan, China, U.S.A., New Zealand, Italy. Isolation have many advantages like reduces displacement of structure, Enhances the performance of structure during seismic load, safety of structure is improved and reduces the cost of the structures. However, the isolation is less efficient for high-rise buildings; it cannot do on every structure in case of soft soil.

Journal of Soft Computing in Civil Engineering , 2022

Liquefaction is one of the disasters caused due to earthquake. In 1999, Chi-Chi, Taiwan, earthqua... more Liquefaction is one of the disasters caused due to earthquake. In 1999, Chi-Chi, Taiwan, earthquake is an example of liquefaction prone disasters induced due to Mw 7.6 earthquake. This becomes major cause for prediction of the liquefaction in the soil with respect to geotechnical property. In this paper, we have use Artificial Neural Networks (ANN) model based on Resilient Back propagation (Rprop), Decision tree model (DT) and classifier are C 4.5 and Random Forest is done for comparing the performance and evaluation of liquefaction potential based on the obtained field CPT data (Juang et al. [1]) consisting 125 datasets over the simplified procedures that are being traditionally use for the classification of liquefaction of the soil by different researchers. It is observe that Resilient Back propagation Algorithm prediction is 100% whereas C 4.5 algorithm and Random forest Algorithm are 97.6% and 98.4% accurate for the evaluation of seismic soil liquefaction potential.

IJSRD, 2021

Landslides or landslip occurs at the down slopes. Landslides are most common in the Asian countri... more Landslides or landslip occurs at the down slopes. Landslides are most common in the Asian countries. The movements of rock mass or soil under the gravity are causes due to both Natural and human activities. Increase in the hydrostatic pressure, by saturation of rain water, melting of snow, increase in groundwater level, increase of pore water pressure, volcanic eruptions and earthquakes are natural causes of the landslip. Human activities include the deforestation, cultivation, machinery vibrations, blasting mining etc. Decrease in the shear stress and increase in the shear strain borne by material cause the change in the stability of the slope. Landslide causes extensive loss to the human lives and properties this makes important to monitor and make early warning systems. An attempt is made to create low cost and effective warning system IOT based landslide detection system. Using Arduino, Wi-Fi module, Moisture Sensors and Vibration sensors. When data is collected it is uploaded by Arduino to the cloud ThingSpeak which help to monitor the real time data and send alert to the end user via SMS on the mobile phone about the Landslide when it happens.

IJSTE - International Journal of Science Technology & Engineering | Volume 6 | Issue 7 | January 2020 ISSN (online): 2349-784X, 2020