Rupali Raut | Changwon National University (original) (raw)
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Papers by Rupali Raut
Healthcare, Feb 28, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
In this paper, we are presenting economical and wearable pulse oximeter device using sparkfun oxi... more In this paper, we are presenting economical and wearable pulse oximeter device using sparkfun oximeter sensor and raspberry pi v2 model B. Nowadays whole world is facing COVID-19 pandemic from December 2091 and in corona patient blood oxygen level is goes down due to attack of virus on lungs. In this scenario economical and easy to use pulse oximeter is life saving device. To control pandemic; early detection of patients are important. We have presented easy to develop oximeter in this paper. We have connected sensor to Arduino uno using I2C protocol and using serial communication data is sent do raspberry pi using USB serial communication. We have achieved over 90% accuracy when result are compare with commercial health band. We also did comparative study with other sensor and we found that sparkfun sensor gives more accurate and quick results. Data visualization is implemented using python library. This device can be used as health band or for covid-19 patient monitoring using remotely.
Diagnostics
We propose a dual-domain deep learning technique for accelerating compressed sensing magnetic res... more We propose a dual-domain deep learning technique for accelerating compressed sensing magnetic resonance image reconstruction. An advanced convolutional neural network with residual connectivity and an attention mechanism was developed for frequency and image domains. First, the sensor domain subnetwork estimates the unmeasured frequencies of k-space to reduce aliasing artifacts. Second, the image domain subnetwork performs a pixel-wise operation to remove blur and noisy artifacts. The skip connections efficiently concatenate the feature maps to alleviate the vanishing gradient problem. An attention gate in each decoder layer enhances network generalizability and speeds up image reconstruction by eliminating irrelevant activations. The proposed technique reconstructs real-valued clinical images from sparsely sampled k-spaces that are identical to the reference images. The performance of this novel approach was compared with state-of-the-art direct mapping, single-domain, and multi-do...
Human-centric Computing and Information Sciences, Mar 12, 2019
Semiconductor integration technology have been steadily developed over the last several decades a... more Semiconductor integration technology have been steadily developed over the last several decades and recently modified into a multicore structure due to problems such as heat generation. As a result, multicore technologies of high-performance computing systems are emerging as systems interconnect technology, which is a technology for making multiple computers into one computer cluster. High-performance computing systems (Computer Clusters) using interconnect technology are essential where artificial intelligence, huge data, and SNS are required. Generally in this technique each constituent node has been processes by its own operation and communicates with different nodes [1]. Therefore, a high-speed computing systems are usually uses a high-speed local area network. In this case InfiniBand and Gigabit Ethernet are typical communication
Cancers, Dec 20, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Healthcare, Feb 28, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
In this paper, we are presenting economical and wearable pulse oximeter device using sparkfun oxi... more In this paper, we are presenting economical and wearable pulse oximeter device using sparkfun oximeter sensor and raspberry pi v2 model B. Nowadays whole world is facing COVID-19 pandemic from December 2091 and in corona patient blood oxygen level is goes down due to attack of virus on lungs. In this scenario economical and easy to use pulse oximeter is life saving device. To control pandemic; early detection of patients are important. We have presented easy to develop oximeter in this paper. We have connected sensor to Arduino uno using I2C protocol and using serial communication data is sent do raspberry pi using USB serial communication. We have achieved over 90% accuracy when result are compare with commercial health band. We also did comparative study with other sensor and we found that sparkfun sensor gives more accurate and quick results. Data visualization is implemented using python library. This device can be used as health band or for covid-19 patient monitoring using remotely.
Diagnostics
We propose a dual-domain deep learning technique for accelerating compressed sensing magnetic res... more We propose a dual-domain deep learning technique for accelerating compressed sensing magnetic resonance image reconstruction. An advanced convolutional neural network with residual connectivity and an attention mechanism was developed for frequency and image domains. First, the sensor domain subnetwork estimates the unmeasured frequencies of k-space to reduce aliasing artifacts. Second, the image domain subnetwork performs a pixel-wise operation to remove blur and noisy artifacts. The skip connections efficiently concatenate the feature maps to alleviate the vanishing gradient problem. An attention gate in each decoder layer enhances network generalizability and speeds up image reconstruction by eliminating irrelevant activations. The proposed technique reconstructs real-valued clinical images from sparsely sampled k-spaces that are identical to the reference images. The performance of this novel approach was compared with state-of-the-art direct mapping, single-domain, and multi-do...
Human-centric Computing and Information Sciences, Mar 12, 2019
Semiconductor integration technology have been steadily developed over the last several decades a... more Semiconductor integration technology have been steadily developed over the last several decades and recently modified into a multicore structure due to problems such as heat generation. As a result, multicore technologies of high-performance computing systems are emerging as systems interconnect technology, which is a technology for making multiple computers into one computer cluster. High-performance computing systems (Computer Clusters) using interconnect technology are essential where artificial intelligence, huge data, and SNS are required. Generally in this technique each constituent node has been processes by its own operation and communicates with different nodes [1]. Therefore, a high-speed computing systems are usually uses a high-speed local area network. In this case InfiniBand and Gigabit Ethernet are typical communication
Cancers, Dec 20, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY