Financial and economic analysis on serverless computing sytem services T. Guhan, G. Chandra Sekhar, N. Revathy, K. Baranidharan, H. Mickle Aancy Essential Information Systems Service Management, 2024 In this chapter, the economic implications of serverless computing for enhancing human living experiences are exemplified. The infrastructure expenses, pay-per-use pricing models, and operational overhead have been elaborated. The cost efficiencies and allocation of resources towards innovation and growth initiatives have been achieved by eliminating the need for provisioning, managing, and scaling servers. The impact of serverless computing on business operations, market dynamics, and industry competitiveness is economically analyzed. However, the challenges (vendor lock-in, security concerns, and performance optimization complexities) have been considered.
Applications of Machine Learning for Financial Forecasting and Stock Trading K. Baranidharan, R. Thamilselvan, Rajib Bhattacharya, Rakesh Verma, Mayur V. Savsani, Jayshree Narendrakumar Proceedings of 9th International Conference on Science Technology Engineering and Mathematics the Role of Emerging Technologies in Digital Transformation Iconstem 2024, 2024 We deal with stock market forecasting techniques using machine learning. The primary focal point of this composing study is the stock business areas considered and the kinds of elements utilized as contributions to machine learning procedures to foresee those business areas. This paper takes a gander at the huge variances in the stock market and gives thoughts for stock market forecasting. Basically, stock market forecasting is a work to predict the market's future worth. Actually doing this assignment can be testing, hence we certainly need some item and computations to work on our errand. This exposition likewise incorporates a couple of the computations, conditions, and related estimations. The proposals for further developing trading works on utilizing machine learning estimations come toward the end. Only inevitable negative circumstances, such as a financial crisis, a market crash, and so on, reduced the review's importance. Effective stock forecasting will give stock market organizations a significant advantage and offer practical solutions to the issues faced by stock financial backers. Thus it is to our advantage to gather a lot of knowledge about the subject.
Low-Cost Sensor-Based Irrigation System for Efficient Water Management in Remote Agricultural Regions P. Ashok, T. Prabahar Godwin James, J. Pathmanaban, P. Ranjith, T. Ragunthar, K. Baranidharan 2023 Intelligent Computing and Control for Engineering and Business Systems Iccebs 2023, 2023 Irrigation system with lower cost is considered to be increasingly significant, based on rising growth of human population, demand for food and global warming. This investigation attempts to provide a low cost sensor based irrigation system for monitoring and controlling from remote regions and to optimize water use for farming irrigation. A sensor based irrigation system that monitors and controls the supply of water uses sensors and actuators. It is specifically designed to automate the water supply from reservoirs and to crops over irrigation system. System lifecycle and waterfall model has been considered in development factor. The protocol suite, ardunio are integrated to provide the system model. Here, pumping approach has been utilized to provide water supply to soils. This system design offers sensing, power supply, monitoring and controlling factors and internet sources. Experimentation was carried out in MATLAB environment and simulation outcomes demonstrate practical and effectual way of implementing the anticipated system model. This irrigation system is need not only for farmers and also for increasing the economic functionalities. Moreover, this may diminish manual supervision that is needed for water supply by invoking remote monitoring and control system.
Blockchain-Based Secure Menger's Authentication for Industrial IOT C. Saravanabhavan, S. Ranjithkumar, M. Subashini, K. Baranidharan, P. Preethi, P. Ashok 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2022, 2022 Industrial Internet of Things (I-IoT) is depicted as the foremost promising evolutionary approaches for promoting industrial manufacturing condition and productivity. When the process of manufacturing is more complex, the complete needs to be provided under the administrative IoT where the devices from diverse environment intends to work over the same task which provides higher privacy and security among the devices during communication process. Some prevailing authentication approaches outcomes in providing third-party security and deals with the key management issues. Therefore, privacy and security needs to be given higher concentration as it remains unsolved. In this research, a novel and an efficient security mechanism known as Menger's authentication assisted with block chain is anticipated to establish trust mechanism among various domains. Here, security is adopted with authentication process. The menger's authentication mechanism is provided to maintain device privacy that realizes authentication among the connected devices. However, the key distribution among the connected parties' remains negotiated with proper communication channel. Here, the simulation is done in MATLAB environment and the outcomes show better outcomes during the authentication process.
A study on behaviours of investors with reference to capital market in Chennai International Journal of Mechanical and Production Engineering Research and Development, 2018
