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Volume 09 Issue 02 (February 2022)

S.No. Title & Authors Page No View

Title : A Survey of Medical Image Segmentation Based on The Pipeline of U-Net

Authors : Heyu Huang, Lianhe Yang

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Abstract :

Deep learning methods have been successfully applied to implement medical image segmentation. It employs convolutional neural networks (CNN) to compute distinctive image features from a defined pixel-wise objective function. However, it has become a powerful tool for computer-aided diagnosis (CAD), where multi-scale fine-grained learning of segmentation targets and global contextual interdependencies have been under constant exploration and progress, they are still the main reasons for the non-robust and unrealistic segmentation of medical images. After extensive research work, we propose in this paper five new practical and advanced methods from different perspectives, aiming to alleviate and counteract the problems in current state-of-the-art methods. They are developed using U-Net as a baseline, focusing around a multi-scale approach guided by attention flow thus obtaining fine-grained features and global contextual information. The methods in this paper make references to help neural network models improve the accuracy of segmentation results, and try to promote the development of the field of wise medical care with the goal of practical applications, and work towards the co-creation of artificial intelligence to lead medical progress.


Title : Ambient Air Quality Monitoring and Modelling In Kanpur City during the Covid-19 Pandemic

Authors : Kriti Agnihotri, Dr. Deepesh Singh

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Abstract :

The outbreak of the COVID-19 pandemic in India in mid-March has had a lot of human activity, which has recorded drastic upsurge in the environment around the world, but with the gradual onset of countries the significant impact on the environment will not last long. The bar of economic activity prior to lockdown of COVID-19 and to participate in austerity measures. In this study, the change in air quality during lockdown and unlock in Kanpur Nagar in Uttar Pradesh, is analyzed along with the pre lockdown and post lockdown duration. Air pollution was analyzed in February-July 2020.Air quality is being monitored and modeled using STREET AND CALINE-4, Changes in local temperature and precipitation as well as geological changes in pollution also analyzed. A noticeable downfall in the overall concentration of NO2, CO and PM10, PM2.5, Nitrogen dioxide (NO2) and Sulphur dioxide SO2, because there were so many restrictions like there were no construction and demolishing activities as well as restrictions on vehicle movement. The average temp. Decrement was also analyzed. Research shows that as the rainfall started in mid-June there was a sudden decrement in the air pollution load and the NO2 came below the detection limit in 2 out of three places we have chosen for the study.


Title : Research on the Employment Oriented Cultivation Mode of Innovative and Entrepreneurial Talents

Authors : Jiang Lingnan

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Abstract :

Employment has recently emerged as a critical issue in the cultivation of talents at Chinese application-oriented universities. Traditionally, an application-oriented university aims to cultivate students’ social and practical skills. In societies in high demand for innovative talents, the orientation of the training of applied talents is tilting towards the cultivation of innovative capabilities. Taking the current employment market demand as a premise, this thesis analyses the mechanism and guarantee of employment-oriented innovative talents cultivation to provide reference for the talents training mode of Chinese universities.