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A worker plays a big half within the businesss industrial production. Management is related to the art of obtaining work done by the people. Management really considers itself with the individuals at work. Therefore, its imperative to seem for his or her cooperation. This study is based on collection of data on the Labour welfare measures followed at particularly liquor industry. The idea of labour welfare is mostly founded on human principles, according to which every citizen has a right to work in a pleasant atmosphere free from health risks for an acceptable income, among other terms and conditions. The research provides a brief on the impact of labour welfare measures provided by the company on its employees. The employers welfare and safety measures will have a direct impact on the employees health, physical and mental efficiency, alertness, morale, and overall efficiency, all of which will contribute to higher productivity. KEY WORDS: Labour Welfare Measures, Industrial production, Efficiency and Attrition level.

This paper aims to develop a tool for predicting accurate and timely traffic flow Information. Traffic Environment involves everything that can affect the traffic flowing on the road, whether it’s traffic signals, accidents, rallies, even repairing of roads that can cause a jam. If we have prior information which is very near approximate about all the above and many more daily life situations which can affect traffic then, a driver or rider can make an informed decision. Also, it helps in the future of autonomous vehicles. In the current decades, traffic data have been generating exponentially, and we have moved towards the big data concepts for transportation. Available prediction methods for traffic flow use some traffic prediction models and are still unsatisfactory to handle real-world applications. This fact inspired us to work on the traffic flow forecast problem build on the traffic data and models. It is cumbersome to forecast the traffic flow accurately because the data available for the transportation system is insanely huge. In this work, we planned to use machine learning, genetic, soft computing, and deep learning algorithms to analyse the big-data for the transportation system with much-reduced complexity. Also, Image Processing algorithms are involved in traffic sign recognition, which eventually helps for the right training of autonomous vehicles.

The paper offers an overview of the new features of web technology. A general idea for a new version of HTML (Hyper Text Markup Language), i.e. HTML5, and other tools presented in this paper is legal specification and implementation of similar technological and operational solutions that already exist was used with various hacks and plug-ins proposed by web developers. Many of these apps will work now used in browsers. Apps may access these functions through the newly defined program applications. The latter include multimedia support, dynamic image rendering, geolocation, multithreading, local data storage etc. HTML5 also introduces a semantic tag, which can be used for tagging document structure and its features and data. New version of HTML imposes strict split page content from your style. Style can only be done using CSS (Cascading Style Sheets) language. New The CSS version, i.e. CSS3, has a modular structure, where different modules define different aspects of style. I cycles for the development of individual modules independently and for their support and functionality in various browsers.

Non-fungible tokens (NFTs) are a new sort of blockchain-based token that is unique and indivisible. They were first introduced in late 2017. While fungible tokens have opened up new use cases such as Initial Coin Offerings, the value of NFTs as a component is still unknown. This research fills in the theoretical and practical knowledge gaps by demonstrating the efficacy of NFTs in the event ticketing area. We design, create, and comprehensively evaluate a prototype of an event ticketing system based on NFTs using a rigorous design science research approach. As a result, we show how NFTs may be used to tokenize digital products, reduce fraud, and strengthen control over secondary market transactions. We also provide generalizable information of the benefits and challenges of NFTs, as well as consequences for both researchers and practitioners.

Open-source software is software that may be inspected, modified, and improved by anybody who has access to the source code. The code that computer programmers can edit to affect how a piece of software—a "program" or "application"—works is referred to as "source code." Programmers who have access to the source code of computer software can enhance it by adding new features or fixing areas that don't always work properly.

COVID-19 is a type of coronavirus disease belonging to the family Coronaviridae. The disease is thought to originate from bats and was spread to people through an unknown medium in Wuhan, China. Ideally, the condition is spread by inhalation or close interaction with infected droplets that have an incubation period between two and fourteen days. Today, there are thousands of infections and deaths that have been caused by the disease. Moreover, the symptoms of the disease include fever, cough, sneezing, sore throat, difficulty breathing, and tiredness. Additionally, the diagnosis of the disease starts by gathering samples of the upper and lower respiratory tracts of the infected person. Also, chest X-rays and CT scan are used in the diagnosis stage. Basically, there is no precise treatment for the ailment, and this calls for the need to prevent the disease from spreading. Notable prevention strategies are isolation of the infected persons, proper ventilation, hand hygiene and use of personal protective equipment. Therefore, this paper provides in-depth information on COVID-19 as it discusses the disease epidemiology, transmission, clinical features, diagnosis, treatment and prevention..