Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Diwan, Tarun Dhar
- A New Technique for Relational Database Protection Using Digital Watermarking
Abstract Views :184 |
PDF Views:2
Authors
Affiliations
1 Deptt. of Engineering, Dr. C. V. Raman University, Bilaspur (C.G), IN
2 Dr. C. V. Raman University, Bilaspur (C.G), IN
1 Deptt. of Engineering, Dr. C. V. Raman University, Bilaspur (C.G), IN
2 Dr. C. V. Raman University, Bilaspur (C.G), IN
Source
Data Mining and Knowledge Engineering, Vol 5, No 7 (2013), Pagination: 278-281Abstract
In watermark embedding database is embedded into image. Here first we store binary data of image in one data structure (suppose array) and database content in other array. Then copy content of image and database in third array. Watermarking algorithm which is used to recover a database from updated value. This is a web based watermarking technique, in which if software is stored in server then we can access it from client system. Digital watermarking can be used to embed various types of data, depending on the particular application and intended use. For example, a watermark in a digital movie file might simply identify the name or version of the movie. Alternatively, it might convey copyright or licensing information from the movie's creator. Or it might embed a customer or transaction number that could be used to identify individual payment or transaction data relating to that particular copy of the movie. But the number of bits that can be contained in a watermark itself today is typically modest enough to provide some basic codes or identifiers.Keywords
Binary Data, Transaction Number, Parser, Hybrid Methods, Automatically.- Improve the Accuracy and Efficiency of Medical Diagnosis Analysis Using Knowledge Discovery
Abstract Views :185 |
PDF Views:2
Authors
Affiliations
1 Deptt. of Engineering (CSE), Dr. C. V. Raman University, Bilaspur (C.G), IN
2 Dr. C. V. Raman University, Bilaspur (C.G), IN
1 Deptt. of Engineering (CSE), Dr. C. V. Raman University, Bilaspur (C.G), IN
2 Dr. C. V. Raman University, Bilaspur (C.G), IN
Source
Data Mining and Knowledge Engineering, Vol 5, No 8 (2013), Pagination: 319-322Abstract
The main objective Computer-based support in health care is becoming ever more important. No other domain has so many innovative changes that have such a high social impact. There has already been a long standing tradition for computer-based decision support, dealing with complex problems in medicine such as diagnosing disease, managerial decisions and assisting in the prescription of appropriate treatment. The Healthcare industry is among the most information intensive industries. Medical information, knowledge and data keep growing on a daily basis. It has been estimated that an acute care hospital may generate five terabytes of data a year. The ability to use these data to extract useful information for quality healthcare is crucial. Computer assisted information retrieval may help support quality decision making and to avoid human error. Although human decision-making is often optimal, it is poor when there are huge amounts of data to be classified. Also efficiency and accuracy of decisions will decrease when humans are put into stress and immense work. Imagine a doctor who has to examine 5 patient records; he or she will go through them with ease. But if the number of records increases from 5 to 50 with a time constraint, it is almost certain that the accuracy with which the doctor delivers the decisions will not be as high as the ones obtained when he had only five records to be analyzed.Keywords
Health Care, Natural Language Processing, Fuzzy Logic, Classification, Intelligent Decision Support System, Identifying Patients, Diagnosis.- Personal Identification Systems
Abstract Views :154 |
PDF Views:2
Authors
Affiliations
1 Dr. C.V. Raman University, Bilaspur, IN
1 Dr. C.V. Raman University, Bilaspur, IN