WITHDRAWN: Enhancement of resolution and image reconstruction in digital image correlation

Gampala, Veerraju; Shilpa, V. Jean; Kishore, Sajja Krishna; Mydhili, S. K.

doi:10.1016/j.matpr.2020.11.758

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…On the right hand side there is visible the BB clamp. The movement of the free parts of the busbars was captured by camera and analyzed by the photogrammetry software TEMA 3.4 [9].…”

Section: Figure 6 the Location Of The Acceleration Sensor On The Supp...mentioning

confidence: 99%

Mechanical stability of SIS100 Bypass Line busbars clamping system under AC current load

Iluk

Chorowski

Poliński

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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This paper presents the lessons learned from tests of first module of superconducting cryogenic bypass line (BPL), a part of the international Facility for Antiproton and Ion Research (FAIR) SIS100 cryogenic system, currently under construction in Darmstadt, Germany. Design, manufacturing, and installation of the superconducting cryogenic bypass line is a part of a Polish in-kind contribution to the FAIR project, realized by the Wroclaw University of Science and Technology. The main goal of the tests was to check the superconducting, Nuclotron type busbar system containing four pairs of busbars, transferring 13.2 kA pulsing current with the ramp rate of 28 kA/s. The mechanical stability of the busbars, especially at the connection region, was investigated with the use of vibration sensors and cameras located inside the vacuum space. The tests revealed insufficient mechanical stability of the busbars in the connection area due to pulsing Lorentz forces, and necessity of additional supports and clamps. Results of the tests were presented and discussed. The conclusions can be significant not only for the bypass line design, but also for design of the busbar connections in the superconducting magnets.

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“…On the right hand side there is visible the BB clamp. The movement of the free parts of the busbars was captured by camera and analyzed by the photogrammetry software TEMA 3.4 [9].…”

Section: Figure 6 the Location Of The Acceleration Sensor On The Supp...mentioning

confidence: 99%

Mechanical stability of SIS100 Bypass Line busbars clamping system under AC current load

Iluk

Chorowski

Poliński

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Early prediction and analysis of corona pandemic outbreak using deep learning technique

Gampala

Nandankar

Kathiravan

et al. 2021

WJE

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Purpose The purpose of this paper is to analyze and build a deep learning model that can furnish statistics of COVID-19 and is able to forecast pandemic outbreak using Kaggle open research COVID-19 data set. As COVID-19 has an up-to-date data collection from the government, deep learning techniques can be used to predict future outbreak of coronavirus. The existing long short-term memory (LSTM) model is fine-tuned to forecast the outbreak of COVID-19 with better accuracy, and an empirical data exploration with advanced picturing has been made to comprehend the outbreak of coronavirus. Design/methodology/approach This research work presents a fine-tuned LSTM deep learning model using three hidden layers, 200 LSTM unit cells, one activation function ReLu, Adam optimizer, loss function is mean square error, the number of epochs 200 and finally one dense layer to predict one value each time. Findings LSTM is found to be more effective in forecasting future predictions. Hence, fine-tuned LSTM model predicts accurate results when applied to COVID-19 data set. Originality/value The fine-tuned LSTM model is developed and tested for the first time on COVID-19 data set to forecast outbreak of pandemic according to the authors’ knowledge.

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WITHDRAWN: Enhancement of resolution and image reconstruction in digital image correlation

Cited by 2 publications

References 16 publications

Mechanical stability of SIS100 Bypass Line busbars clamping system under AC current load

Mechanical stability of SIS100 Bypass Line busbars clamping system under AC current load

Early prediction and analysis of corona pandemic outbreak using deep learning technique

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