Role of Public Distribution System in Andhra Pradesh an Analysis

Public Distribution System in India has been one of the most crucial elements in food policy and food security system in the country. Public Distribution System in has close links with food security for the vulnerable segment of population. It is so because Public Distribution System is considered as a principal instrument in the hands of the government for providing safety net to the poor and the downtrodden. Public Distribution System is the largest distribution network of its kind in the world. It emerged out as rationing measure in the backdrop of Bengal famine as well as a war-time measure during Second World War.The Government of India in an effort to ensure fair supply of food items to all citizens of India instituted Fair Price Shops (FPS) under Public Distribution System (PDS). Essential commodities such as Rice, Wheat, Sugar, Kerosene, etc., are supplied to the targeted underprivileged sections as per the eligibility and at fixed by the Government of India. In spite of the best efforts by Government officials at various levels, there are a few bottlenecks and inconveniences to the targeted citizens in availing the services provided. Over the years, Public Distribution System has expanded enormously as poverty alleviation and food security measure to become a permanent feature of Indian Economy.The Andhra Pradesh state incorporated various modifications from time to time to make its implementation more relevant for the masses and to increase its effectiveness. This paper analyzes that whether Public Distribution System is able to achieve its objective of providing food security to the people. The present paper discusses a brief review of welfare schemes and also makes a study of existing Public Distribution System in Andhra Pradesh. An attempt has been made in this study to ascertain the problems prevailing in Public Distribution System and to recommend suggestions to make Public Distribution System is more effective

Analysis of Legacy System in Software Application Development: A Comparative Survey

Software evolution is one of the challenging issues in today’s business environment. It is necessary for the organizations, which make use of Information, and Communication Technologies will have to align their business processes to compete with global business. The existing large software systems (“legacy” systems) have never been built to cope with the current business requirement for their poor coding, design structures, logic and documentation. Moreover, Legacy applications have various problems such as lack of up to-date documentation, skilled man power, resources of the Legacy applications, and high maintenance costs. Even though the Legacy system is obsolete, it contains detailed business rules and in continuous use, because it satisfies the users' needs and forms the backbone of the information flow of organization. One of the possible solutions is to refactor or modernize those systems into a new platform. It is necessary to analyse the existing legacy system for better understanding the business logic and its functionalities. This paper analyses various techniques proposed for understanding Legacy systems in existence

Smart Cities: An In-Depth Study of AI Algorithms and Advanced Connectivity

The goal of smart city development is to improve the quality of life by incorporating technology into daily activities. Artificial intelligence (AI) is critical to the ongoing development of future smart cities. The Internet of Things (IoT) idea connects every internet-enabled device for improved access and control. AI in various domains has changed ordinary towns into highly equipped smart cities. Machine learning and deep learning algorithms have proven indispensable in a variety of industries, and they are now being implemented into smart city concepts to automate and improve urban activities and operations on a large scale. IoT and machine learning technology are frequently used in smart cities to collect data from various sources. This article delves deeply into the significance, scope, and developments of AI-based smart cities. It also addresses some of the difficulties and restrictions associated with smart cities powered by AI. The goal of the study is to inspire and encourage academics to create original smart city solutions based on AI technologies

Food security and its determinants: A case study of South Coastal region, Andhra Pradesh

Andhra Pradesh is one of the largest states in India in terms of population. But, food insecurity is of common phenomenon both in developed and developing states. The present paper endeavors to study household food security and its determinants in south coastal region (Guntur district), Andhra Pradesh. A primary survey was conducted with structured schedules to collect data from 200 sample BPL households based on random sampling technique. The data was analyzed through multiple regression technique. The result showed that age, agricultural land, number of earners in the family, caste category, income group and education have a positive relationship with household food security status. Similarly, variables such as family size, marital status and type of ration card are negatively correlated with household food security status. The study found 55.9 percent of the variations in food security index are explained by the explanatory variables in south coastal region (Guntur district), Andhra Pradesh