A Project Report On "SunZip" full report
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01-03-2011, 09:54 AM
A Project Report On SunZip.docx (Size: 864.1 KB / Downloads: 165)
The Domain “SunZip” lets you reduce the overall number of bits and bytes in a file so it can be transmitted faster over slower Internet connections, or take up less space on a disk. Domain Sun Zip is a System Based Software. The user need not depend on third party software’s like Winzip, Winrar etc.
The main algorithms are:
• Huffman algorithm
ALGORITHMS FOR HUFFMAN COMPRESSION / DECOMPRESSION
Huffman coding is an entropy encoding algorithm used for lossless data compression. The term refers to the use of a variable-length code table for encoding a source symbol (such as a character in a file) where the variable-length code table has been derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol. It was developed by David A. Huffman while he was a Ph.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".
Huffman coding uses a specific method for choosing the representation for each symbol, resulting in a prefix code (sometimes called "prefix-free codes") (that is, the bit string representing some particular symbol is never a prefix of the bit string representing any other symbol) that expresses the most common characters using shorter strings of bits than are used for less common source symbols. Huffman was able to design the most efficient compression method of this type: no other mapping of individual source symbols to unique strings of bits will produce a smaller average output size when the actual symbol frequencies agree with those used to create the code. A method was later found to do this in linear time if input probabilities (also known as weights) are sorted.
For a set of symbols with a uniform probability distribution and a number of members which is a power of two, Huffman coding is equivalent to simple binary block encoding, e.g., ASCII coding. Huffman coding is such a widespread method for creating prefix codes that the term "Huffman code" is widely used as a synonym for "prefix code" even when such a code is not produced by Huffman's algorithm.
Although Huffman coding is optimal for a symbol-by-symbol coding (i.e. a stream of unrelated symbols) with a known input probability distribution, its optimality can sometimes accidentally be over-stated. For example, arithmetic coding and LZW coding often have better compression capability. Both these methods can combine an arbitrary number of symbols for more efficient coding, and generally adapt to the actual input statistics, the latter of which is useful when input probabilities are not precisely known or vary significantly within the stream. In general, improvements arise from input symbols being related (cat is more common than cta).
NIIT is a leading Global Talent Development Corporation, building skilled manpower pool for global industry requirements. The company which was set up in 1981, to help the nascent IT industry overcome its human resource challenges, has today grown to be amongst world’s leading talent development companies offering learning solutions to Individuals, Enterprises and Institutions across 40 countries.
NIIT’s training solutions in IT, Business Process Outsourcing, Banking, Finance and Insurance, Executive Management Education, and Communication and Professional Life Skills, touch five million learners every year. NIIT’s expertise in learning content development, training delivery and education process management make it the most preferred training partner, worldwide.
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NIIT Institute of Finance Banking & Insurance (IFBI), formed by NIIT with equity participation from ICICI Bank, offers programs for individuals and corporates in Banking, Financial Services and Insurance.
NIIT Uniqua, Centre for Process Excellence, addresses the increasing demand for skilled workers in the business and technology services industry by providing training programs in relevant areas. This is a part of NIIT Institute of Process Excellence, a NIIT-Genpact venture.
NIIT’s School Learning Solutions offers turnkey IT integration program for schools and has provided computer – based learning in over 12,000 government and private schools. NIIT eGuru, is a comprehensive learning solutions for schools. To address the vast population of underprivileged, school-aged children, NIIT launched the Hole-in-the-Wall education initiative. Its achievements in the area of Minimally Invasive Education earned NIIT the coveted Digital Opportunity Award, by the World Information Technology Services Alliance (WITSA) in 2008.
NIIT’s Corporate Learning Solutions offers integrated learning solutions, including strategic consulting, learning design, content development, delivery, technology, assessment and learning management to Fortune 500 companies, Universities, Technology companies, Training corporations and Publishing houses. Element K, delivers learning solutions for customers and partners through a tailored combination of catalog learning products, technology, and services. The offerings include: vLab®: hands-on labs, instructor-led courseware, comprehensive e-reference libraries, technical journals, and KnowledgeHub™ , a hosted learning management platform. NIIT, together with Element K, is now the first and the best choice for comprehensive learning solutions, worldwide.
Ushering in a new model in higher education is the not-for-profit NIIT University, established in 2009 with a vision of being the leading centre of innovation and learning in emerging areas of the Knowledge Society. Nestled in the foothills of Aravali, in Neemrana, Rajasthan, the picturesque 100 acres fully residential green campus has been developed as an institute of excellence based on the four core principles of providing industry linked, technology based, research driven, seamless education.
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10-04-2011, 05:51 PM
wow thank you soooo much for the organization profile of NIIt
Joined: Apr 2012
02-05-2012, 10:11 AM
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