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The study is designed to know the role of robotics and simulators in teaching and learning in education sector. The study adopted exploratory method of research and used the questionnaire for collection of data. Primary data was collected by the method of convenience sampling. Study considered the statistical methods of Confirmatory factor analysis and the objectives were examined using Neural network. The study examined to know role of simulation and robotic by using SWOT analysis and to suggest the different approaches showing the use of simulation in robotic education. The usage of technology is increasing in every sector including education. The simulators and robotics are playing the vital role in solving many problems such as cost, time, process redundancy, accuracy and other things. The study present study gives the clear picture on the SWOT analysis for the acclimation of students through the simulators and robotics in learning aspect. In future these two will play critical role in giving solutions to the students' fraternity in conventional studies i.e., engineering, management, science and arts subjects. This technology is used extensively in aviation, space, and military segments. Students will get practical knowledge if they get trained by the simulators and robotics. Two objectives were framed for the study examined using statistical methods. To understand the role of simulation and robotics in education SWOT has been considered with the CFA method. The stud result reveals that by repetition of the tasks consistently without making errors will make the huge effect as well as improving the technology is an advantage for the learners to understand and easier for the training and teaching. The neural network has been applied to devise the measures to improve the make use of simulators and robotics and result stated that by efforts that will encourage improving the interaction between human and robots as well as organizing the simulation-in-robotics challenge competitions will lead to the improvement in the steps of the simulation making more useful in robotics. [ABSTRACT FROM AUTHOR]

Investments in Mutual Funds are rapidly increasing in India since last two decades. The investments made in open-ended mutual funds are comparably more than close-end mutual funds. The retail investors in India who are in position take risk on their investment are preferring open-ended equity mutual fund schemes. Open-ended equity mutual funds are the financial instruments and the performance of these funds are largely depending on Market fluctuations. The open-ended equity mutual fund schemes are risky investments compare to other forms mutual funds. These funds returns are based on the risk-taking ability of investors and bring the more returns to the investors in long run as compared to debt funds. The performance of open-ended mutual fund schemes is volatile in nature and majority of the fund depending on company and industry growth and the returns of the funds will give different benefits for short term and long-term investors. The present paper analyses the performance of select Indian open-ended equity mutual fund schemes and also analyse the risk and returns characteristics funds for select time period. [ABSTRACT FROM AUTHOR]

The study explained the driving forces behind the 4.0 revolution and to identify the challenges and opportunities in the 4.0. The study adopted the exploratory research approach to know the driving factors for the industry 4.0 and core Issues and opportunities in the context of industry 4.0. Convenient sampling methodology was taken for the sampling collection purpose from the employees who are working in these modern industries. The study designed the questionnaire with the likert scale structured questionnaire in the aspect of framed objectives. The study has collected the 120 samples from the respondents. Aiming to find out the major driving forces, which are taking as lead role in the development of next-generation industries, the current research makes an effort to do so. The I 4.0 is constantly ready to take on new challenges and seize new possibilities as they present themselves. The findings of the research will be helpful to the I4.0, allowing them to concentrate on the driving forces that will allow them to develop the organization in order to satisfy market demand. This research identified the most significant obstacles and possibilities, allowing the I4.0 to improve their ability to fulfil consumer expectations and remain competitive in a highly competitive market. The study focused primarily on the driving factors in the context of I4.0. The high loaded factors were extracted using exploratory factor analysis in this study. According to the study's findings, ensuring reliable operation and lowering error rates are critical in the I4.0 because the majority of job tasks will be completed without the involvement of humans and with a greater involvement of technology and pre-defined instructions. Improving lead time and continuous monitoring of company performance are key factors driving the success of Industry 4.0. The study identified the major challenges and opportunities associated with the use of neural network statistical methodology. The results are observed to be for challenges are "A gap in Technical skills" observed to be key challenge due to changing nature of industry 4.0 and employees need to upgrade skills as per the requirement. In industry 4.0 lot data will be generated and handing the data growth also found to be one key challenge. The study examined the opportunities for the industry 4.0 and result stated that the data which is reliable and makes the real time economy will initiate and drive industry 4.0. [ABSTRACT FROM AUTHOR]

Banking sector in India is one of the most important sector playing an important role in growth of Indian economy. After the liberalization the role of banks is increased to provide monetary services to entrepreneurs, customers and common people. Banking sector operations are increased due to growth of industrialization. The rapid growth in industrialization encouraged both public and private sector banks to expand their services to meet requirements of bank customers. The performance of banks is measured based on performance indicators like ROA (Return on Assets), ROE (Return on Equity) and NIM (Net Interest Margin). The said three factors are the key bank performance indicators to assess the concern bank performance. The ROA, ROE and NIM are most important factors in measuring the bank performance and the growth of any commercial banks is largely depends on these three financial ratios. The growth of ROA is very important for any bank to increase their assets in long run, ROE is concern with market movements and it is influenced by the different market conditions linking to banking sectors. NIM is very important to increase the internal operation efficiency of bank and to improve the liquidity and profitability conditions in banks. The current paper emphasizes on key performance indicators of select public and private banks and compare their performances and analysed the factors influencing the key performance indicators. [ABSTRACT FROM AUTHOR]