International Research Journal on Advanced Science Hub

The Covid-19 pandemic has made a huge impact on the e-commerce industry. The industry has experienced some benefits and problems during the pandemic. People tend to buy more items online as it can be more secure when it comes to the spread of disease. The reports are saying that overall e-commerce industry is having an increased sales growth. Many methods and techniques are being used by the e-commerce industry to make-up the negative impacts that happened to online business during the Covid-19 pandemic. This study is done to deeply analyse the problems and factors that are affecting the Online businesses and to know about the situations of e-commerce business in different parts of the world.

This paper presents the design, analysis and comparison of different types of dc-dc converters. Now days due to lack of conventional energy sources like coal, petrol, diesel etc., demand of electricity is rising day to day. To fulfill this demand of electrical energy alternative methods are very much important now. The researchers stand motivating in solar energy generation, dc-dc converters etc. In this paper Performance analysis of different dc/dc converters and comparative study of them is focused. All converters will work in Continuous conduction mode. The performance analysis of different converters (Buck, Boost, Buck Boost, CUK, SEPIC, Positive Output Super-Lift Luo Converter) and comparison of those converter’s simulation results discussed using MULTISIM 14.0.

There was a big question about the transition to online learning on around the world, could it motivate student as good as the traditional methods? This study is aimed at finding out the effectiveness of virtual discussion for improving motivation of students during the Covid-19 pandemic. A total of sixty Christian students of State Vocational High School Malang were involved in the study, separated in two classes. The first class was treated with virtual discussion method and the other class as a control class. This study used a quasi-experimental research design, and analyzed using a paired sample t-test. The result obtained sig. 0.000 less than 0.05, showed a significant difference in the mean scores, indicated that virtual discussion was effective for improving motivation of students. From the finding, it is recommended to use virtual discussion in Christian education, against Covid-19 pandemic effect.

After the outbreak of Covid-19 pandemic there had been huge changes in the shopping behaviour of customers across world. From bulk buying to online shopping there is a major change in what, when and how people are buying. As people are avoiding going to public places, online shopping has become even more prominent now. This paves the way for the online shopping stores giving them competitive advantage over traditional shopping stores. Amazon and Flipkart, which are the two most leading online shopping stores have also been beneficially affected by this shift of customer purchasing behaviour. Both Amazon and Flipkart are seeing accelerated growth in online sales fuelled by first time buyers and sellers from small towns. In this study the overall customer attitude towards the two sites is measured and compared with the help of Fishbein Multi-Attribute Model. An analysis is done to determine the important attributes that matters more to the customers ,on which these online sites need to focus on and also the perception of customers on performance of  the two sites on those attributes is assessed.

The "Smart Health Prediction Using Machine Learning" system, based on predictive modelling, predicts the disease of patients/users on the basis of the symptoms that the user provides symptoms as an input to the system. The application has three login options: user/patient login, doctor login, and admin login.The device analyses the symptoms given by the user/patient as input and provides the likelihood of the disease as output based on the prediction using the algorithm. Smart health predictions are made by the implementation of the Naïve Bayes Classifier. The Naïve Bayes Classifier measures the disease percentage probability by considering all its features that is trained during the training phase.Exact interpretation of disease data benefits early patient/user disease prediction and provides clear vision about the disease to the user. After a prediction, the user/patient can consult a specialist doctor using a chat consulting window. It uses machine learning algorithms and database management techniques to extract new patterns from historical data. The Forecast Accuracy can improve with the use of a machine learning algorithm and the user/patient will get fast and easy access to the application.

The COVID-19 pandemic has affected all levels of educational systems worldwide, leading to the near-total closures of schools, universities and colleges.There are so many negativeimpacts of covid-19 on every sector in world and nowadays everyone is discussing and focusing on losses and drawbacks of covid-19. We should bring out ourselves from this worst situation and be positive. This paper was prepared to show some positive impact of pandemic on education., students, teachers, researchers and nonteaching staffs of school, colleges and universities. The main purpose of this paper is to remove the feeling of loss from mind of academician, students, research scholarsandothers. There are number of positive impacts of covid-19 on education, environment, human life, business etc. This paper enlightens the people with positive impact of covid-19 pandemic lock down on education.Because the positivity, there is reduction in depression andstress, as a result one can be more energetic and ambitious. Positivity helps us grow and improve our health.

Education is continuing its journey since man is on earth. It may be the nature taught man in the yester years, gurukulas in the golden period of many kings, Government Schools and colleges’ post-independence era and convents, international schools, deemed universities in the 21st century, its common objective of all these institutions is to educate the human race. Education is not just reading the books and getting a degree from a University, it is the holistic development of an individual physically, mentally, financially and economically. The aim of education is to bring overall development of an individual and make him today a productive citizen, for tomorrow’s nation. Every country develops its education system to express and promote its unique socio-cultural identity and to meet the growing demand of job and career opportunities. The country has reached a stage in economic and technological progress and efforts must be made to ensure that the fruits of change reach all the sections of the society. The National Education Policy- 1986 focused on common curriculum framework that contains a common core along with other components that are flexible. Child-centric approach is given prominence in elementary education, followed by secondary education giving prominence to girl child education and SC, ST and BC categories of education. The National Education Policy-2020, which is reformed after 34 years, emphasized more on holistic approach with multi-disciplinary courses and students are facilitated with bucket system of choosing subjects of their interest. This paper focuses on the comparative study on the highlighted aspects of NEP of both 1986 and 2020.

This report aims to give an overview of a standalone automatic fan speed controller that controls the speed of an electric fan according to our requirement. With the help of the embedded technology makes more efficient and reliable with this closed loop feedback control system. This project is the Temperature Based Fan Speed Control & Monitoring with the help of the Arduino UNO and LM35 Temperature Sensor. In this the microcontroller controls the speed of an electric fan according to the requirement & allows faster control and the LCD display makes the system user-friendly. The LCD panel displays the Sensed temperature in Celsius Scale and fan speed in percentage simultaneously.

This paper presents the design, analysis and comparison of different types of dc-dc converters. Now days due to lack of conventional energy sources like coal, petrol, diesel etc., demand of electricity is rising day to day. To fulfill this demand of electrical energy alternative methods are very much important now. The researchers stand motivating in solar energy generation, dc-dc converters etc. In this paper Performance analysis of different dc/dc converters and comparative study of them is focused. All converters will work in Continuous conduction mode. The performance analysis of different converters (Buck, Boost, Buck Boost, CUK, SEPIC, Positive Output Super-Lift Luo Converter) and comparison of those converter’s simulation results discussed using MULTISIM 14.0.

The Covid-19 pandemic has made a huge impact on the e-commerce industry. The industry has experienced some benefits and problems during the pandemic. People tend to buy more items online as it can be more secure when it comes to the spread of disease. The reports are saying that overall e-commerce industry is having an increased sales growth. Many methods and techniques are being used by the e-commerce industry to make-up the negative impacts that happened to online business during the Covid-19 pandemic. This study is done to deeply analyse the problems and factors that are affecting the Online businesses and to know about the situations of e-commerce business in different parts of the world.