Administrative control of companies in India

The joint stock company is an institution wielding immense socio economic _power over the ultimate progress and well -being of the nation. It is subjected to corresponding definable responsibilities towards all who depend on than. the shareholders.the employees the suppliers of raw materials. the consumers of its product: and society at Large. The company law is changing and must change with time and take note of the dynamics of trade and industry. Obviously it cannot be static and permanent while the basic economic and social philosophies and the technique of production and investment in the industrial sector change.‘ It provides a legal framework for the corporate form of business in which the organization capital and labour are brought. together in a particular form of relationship. The activities carried on within this corporate form is subjected to a gradual but steadily increasing control by the Government. A study of this oontrol is undertaken to better understand the present law and to suggest the path for further change

Detection of Flock Movement in Spatio-Temporal Database using Clustering Techniques - an Experience

In this paper, moving flock patterns are mined from spatio- temporal datasets by incorporating a clustering algorithm. A flock is defined as the set of data that move together for a certain continuous amount of time. Finding out moving flock patterns using clustering algorithms is a potential method to find out frequent patterns of movement in large trajectory datasets. In this approach, SPatial clusteRing algoRithm thrOugh sWarm intelligence (SPARROW) is the clustering algorithm used. The advantage of using SPARROW algorithm is that it can effectively discover clusters of widely varying sizes and shapes from large databases. Variations of the proposed method are addressed and also the experimental results show that the problem of scalability and duplicate pattern formation is addressed. This method also reduces the number of patterns produced

Rapid and Proactive Approach on Exploration of Database Vulnerabilities

In today's complicated computing environment, managing data has become the primary concern of all industries. Information security is the greatest challenge and it has become essential to secure the enterprise system resources like the databases and the operating systems from the attacks of the unknown outsiders. Our approach plays a major role in detecting and managing vulnerabilities in complex computing systems. It allows enterprises to assess two primary tiers through a single interface as a vulnerability scanner tool which provides a secure system which is also compatible with the security compliance of the industry. It provides an overall view of the vulnerabilities in the database, by automatically scanning them with minimum overhead. It gives a detailed view of the risks involved and their corresponding ratings. Based on these priorities, an appropriate mitigation process can be implemented to ensure a secured system. The results show that our approach could effectively optimize the time and cost involved when compared to the existing systems