Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Articles by Divyanshu Sharma
Total Records ( 2 ) for Divyanshu Sharma
  Anchit Bhatia , Divyanshu Sharma and S. Chethan
  Recent times have seen meteoric increase in the data that are available using which we can develop automated data-driven techniques of extracting useful knowledge. Data mining is the important step in this process of knowledge discovery. One of the key problem in most of the data mining applications is discovering the frequent item sets. Scanning of the huge data available to discover frequent item sets are computationally expensive. A conventional multi-core processor might not very effective multi-threading capabilities to be able to process large amounts of data leading to sequential implementation of a considerably large number of processes. Such sequential implementation leads to high computation times due to pipeline latency and other issues. Due to this limitation there is an increasing interest in the researchers to develop parallel data mining algorithms for faster implementation and efficient use of available GPU architectures. Pincer search is one the data mining algorithms which is used to discover the maximum frequent sets. Pincer search algorithm reduces both the number of times the database is scanned and also the number of candidate considered. In this study, we discuss a way to parallelize the pincer search algorithm to further speed up the process of discovering maximum frequent sets.
  Divyanshu Sharma , Anchit Bhatia and S. Chethan
  Augmented reality uses technology to take the real world and superimposes digital image and sound into it. By using the technology of Augmented Reality (AR), we can make the real world we see more digitally interactive with help of computer vision and object recognition. It allows us to add digital content to almost anything such as printed material, geographic locations and objects. We can use the available AR technology in innumerable ways to improve our classrooms and refine the learning process. Academia is one field that should definitely benefit from all these technological advances. Hence such ideas that allow us to harness and apply this state of the art technology for the improvement of the crux of our education system should be encouraged.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility