ABSTRACT
Zirconium alloys are used in various components of a nuclear fuel due to its irradiation strength and very less neutron absorption, these are used for production of clad tubes, end caps, end plates, spacer pads and bearing pads which are used in nuclear fuel cladding which are further used in the Boiling Water Reactor (BWR) and Pressurized Heavy Water Reactor (PHWR). The rods before going for production of end caps should undergo swaging in order to reduce the diameter from 24mm to 16 mm. Swaging process includes the reduction of cross section of zirconium rods with annealing process at regular intervals to relieve stresses, so the operation is performed in a number of passes. It is preferred for production of rods over the other cold working process such as wire drawing and pilgering due to its unique advantages over crack formation and line defects. The rod which is being swaged undergoes centrifugal force due to the roller action and hammers in radial direction so force analysis is done in CATIA V5 R19. Apart from centrifugal action the rod undergoes various other forces which constitute to the production of rod by swaging, so in order to calculate the total load suitable practical measurements are suggested and one method is specified due to the constraint nature of the machine. Patient lines are frequent in medical care, and one indicator of access to healthcare is waiting time. We explain queuing theory - an empirical method that provides service providers with a lot of experience in the design and management of existing services. This paper focuses on the pattern of arrival and the facilities available in the hospital in Vijayanagara District. The most important purpose of this research was to provide policymakers with knowledge to contribute to the well-being of the population by reducing waiting time for service, in this study, the waiting time of patients in the ambient department was first analyzed with the M / M/ 1 queuing method. The entire world is spreading of coronavirus-COVID-19 has increased exponentially across the globe, and still, no vaccine is available for the treatment of patients. The crowd has grown tremendously in the hospitals where the facilities are minimal. The queue theory is applied for the Single-server system and its self-similarity existence in a queue used to identify the queue time, waiting time, and Hurst parameter by different patient arrivals methods Health care center in our local area located in Hospet, Vijayanagara district, Karnataka. © 2022 Author(s).
ABSTRACT
The Corona Virus Disease (COVID - 19) pandemic, emanated in December 2019, in the city of Wuhan, China is deliberated as a significant challenge for all humanity. Later has rapidly spread throughout the world causing millions of lives. The Governments planned multiple strategies in controlling the outbreak, one of which measures was imposing lockdowns adequately. The inextricable situation has affected various walks of life of people, in particular the students of the educational institutions. Thus, the need of hour has come to broaden the horizons of hearing option for it. While digital learning, both educators and students face some inconveniences like network connectivity and conducive atmosphere for learning. The researchers conducted a case study to sort out the efficacy of the online classes during this pandemic situation and the challenges that digital learners face. Eventually, learner centric methods of teaching are discussed and valuation procedures are also presented in that research work. © 2022 Author(s).
ABSTRACT
Coronavirus is not a living organism. It has a genetic organism material covered with fat envelope. It affects throughout the country. The World Health Organization (WHO) officially announced that a new virus had been identified which then is called by 2019-nCoV on January 2020. The virus was recognized as part of the coronavirus group, which involves SARS and the other known colds. The first reported case was from Wuhan, China and has infected 7711 people and 170 reported deaths in China before coronavirus was declared as a global pandemic which produces a sickness authoritatively defined as COVID-19 that has diffused to a minimum 141 nations and regions, causing death over 5700 individuals around the world. The present paper explores the COVID-19 data frame seasonal wise and forecast future data for next 15 days in India using Auto Regressive Integrated Moving Average (ARIMA) and FB Prophet (Face Book Prophet) algorithm. The performance metrics used to find the model fitness are mean absolute error (MAE), mean percentage error (MPE) and root mean square error. Derived RMS of Prophet model as 39,407.98 for confirmed forecast COVID-19 in India date wise is simulated using Google Colaboratory to run and execute Python program. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.