Conubia Nostra

Quisque a porta justo. Ut gravida elit turpis. Pellentesque dui leo, mattis a luctus et, imperdiet et diam. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Nunc adipiscing suscipit tortor, tincidunt rhoncus ipsum adipiscing ac. Mauris tincidunt risus eu metus vulputate vehicula. Duis fermentum enim nec erat volutpat eu fringilla purus tempor. Nam quis purus vel est eleifend faucibus vitae ut nulla. Maecenas vestibulum porttitor lorem et egestas. Nulla facilisi. Nulla venenatis dapibus rhoncus. Praesent neque mi, malesuada et ultrices et, lacinia sed est. Vivamus nec sodales dui. Morbi vitae sapien velit, at ullamcorper mauris.

Donec sed dui at augue mattis sodales ac non risus. Nullam dictum congue erat vel semper. Pellentesque fringilla risus vitae nunc elementum iaculis. Aliquam et justo orci, sit amet ultrices mauris. Donec id congue leo. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Sed ut varius odio. Etiam dapibus bibendum dolor sit amet dapibus. Maecenas vel elementum risus. Sed consectetur mauris sed lectus egestas volutpat.

Sed venenatis scelerisque ante, sit amet gravida quam placerat quis. Aliquam erat volutpat. Nullam magna est, auctor eu semper ac, tempus nec metus. Vivamus venenatis posuere ipsum, ut vehicula nibh tincidunt et. Fusce pellentesque fermentum viverra. Vivamus luctus mi massa, quis ultrices magna. Suspendisse a nulla ac purus aliquet dapibus. Integer accumsan tellus vitae sem lobortis sollicitudin. Cras quis eros lacinia nibh consequat scelerisque id ut neque.

RAVINDAR MOGILI

Associate Professor

M.Tech (CSE), (Phd)

14 Years of Teaching experience

Area of interest: Data Mining, Machine learning, Image processing

ravindermogili@gmail.com

Mobile: 9493142141

 

Most people associate a personal computer (PC) with the phrase computer. A PC is a small and relatively inexpensive computer designed for an individual use. PCs are based on the microprocessor technology that enables manufacturers to put an entire CPU on one chip. Personal computers at home can be used for a number of different applications including games, word processing, accounting and other tasks. Computers are generally classified by size and power as follows, although there is considerable overlap. The differences between computer classifications generally get smaller as technology advances, creating smaller and more powerful and cost-friendly components. Personal computer: a small, single-user computer based on a microprocessor. In addition to the microprocessor, a personal computer has a keyboard for entering data, a monitor for displaying information, and a storage device for saving data. Workstation: a powerful, single-user computer. A workstation is like a personal computer, but it has a more powerful microprocessor and a higher-quality monitor. Minicomputer: a multi-user computer capable of supporting from 10 to hundreds of users simultaneously. Mainframe: a powerful multi-user computer capable of supporting many hundreds or thousands of users simultaneously. Supercomputer: an extremely fast computer that can perform hundreds of millions of instructions per second.