Abstract: The Present Article provides the Comprehensive Prudence behind the Intellectual Property Rights. In Indian sub-continent various Laws are enacted which grants Protection to the intellect. Intellectual Property has various domains and its kinds, it can be a Process, Product, Design, Literature, Music, Art, Computer programs or a Brand name. This Article covers the basic principles and the Rationality behind Intellectual Property Rights granted to the Proprietor by the Government.

This book illustrates a new theory of Consciousness attempting to solve the meta-problem of Consciousness and the mind-body problem using Aristotle's soul as the basis of self-hood. It attempts to solve the mind-body problem by illustrating the transition of the Soul as the body into a mind, using emotional experiences turning into experiences of feelings.

Web applications are increasing day by day and the choice of technology for building a web application is a tedious task. A good website needs to be scalable, functional, responsive, reliable, secure etc. Therefore, comparing the different trending technologies for web design is crucial. The entire design of our website requires the selection of the programming languages. It is difficult to give a quick solution to this issue without first considering what our website will do both now and in the (...) future. One of the initial decisions to be made is whether the website will be static, interacting with users relatively little, or dynamic, displaying personalised information to users in response to interactions. Also, there are many stacks trending and available in the market for web development like MERN stack, MEAN stack, MEVN stack or ruby on rails or DERN technology. It's very necessary to understand all, the key differences between them and which one is right to choose when. This paper attempts to assist web developers through conducting an empirical comparison of the most significant web-based programming languages and databases. The paper compares frontend technologies like React and Angular based on certain parameters like DOM, architecture and data binding, in each case comparing their performance and also do the performance analysis of backend technologies like MongoDB and PostgreSQL, which are no-SQL and SQL databases respectively, based on e-commerce use case application. The paper finally suggests which technology to choose for which use case and under what conditions and requirements. (shrink)

Gas leakages results a serious problem in household and other areas where household gas is used, therefore the proposed gas leakage detection and monitoring system is developed. There are many methods available for booking a Gas Refill, methods include online booking, telephonic booking etc. It will be difficult situation for the one who uses LPG gas for cooking regularly. The aim of this paper is to present a new system automatically books a cylinder when the gas is about to empty (...) is by sending a notification to the gas agency using wifi using Internet of Things approach. In addition to that sensor is used to detect gas leakage at home. If the gas leakage is sensed automatically it will send SMS to the user. wifi is one of the most used networks across the world. Hence, load cell has been used to monitor the weight of the LPG gas regularly. The values are next fed to the microcontroller. If the gas in the cylinder indicates a value where the remaining percentage level is crossed below the threshold levelset for gas to be indicated as getting emptied, then a notification will be delivered to gas enterprise automatically to book the new cylinder. Subsequently, reply notification will be sent to the customer about the booking status. At the same time, application software is developed in the gas enterprise to inform and record the booking. This, work this helps the society to specifically indicate gas leakage and also helps both customers and the agency to get the gas booking made automatically using the IOT technique. (shrink)

This study aims at analyzing and outlining anAI-based NIDS design and comparing different implementation models to improve the current state of network protection. Current NIDS do not assist organizations against modern cyber threats hence relies on machine learning and deep learning for real-time protections. The detailed plan of work includes the use of signature and anomaly detection techniques in parallel and the use of ensemble technique for increasing the detectors capabilities and decrease the false positive rates. The study employs open (...) datasets for training and benchmarking and establishes that deep learning models, including CNNs and RNNs, elicit improved results compared to more conventional machine learning models. The results show that the ensemble learning model, outperformed the other and thus emphasizes future work should consider the use of this model for detection of network intrusions. This study shows that netsec based on AI-powered NIDS can increase the opportunity to detect threats and effectively respond to incidents in realistic network contexts. Further research by designs will involve handling issues like model interpretability and updates to sustain reliability and scalability. (shrink)