Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Han Doo Kim"'
Publikováno v:
Multimedia Tools and Applications. 79:22825-22842
With the advent of cloud and social networking sites, information security has become a major issue. Images are the most searched, uploaded, and shared data in multimedia. However, existing encryption algorithms such as DES and AES may not be suitabl
Publikováno v:
International Journal of Control and Automation. 10:217-228
Publikováno v:
ICCCS
With the emergence of cloud and social networking sites, information security has become a major challenge. Images are the most searched, uploaded and shared data in multimedia. However, because of the data size and high redundancy among the raw pixe
Publikováno v:
The Journal of the Korea institute of electronic communication sciences. 11:885-892
Publikováno v:
Journal of applied mathematics & informatics. 34:239-247
Publikováno v:
The Journal of the Korea institute of electronic communication sciences. 11:293-302
Publikováno v:
Journal of the Korea Institute of Information and Communication Engineering. 19:2968-2974
Method for finding the attractors is the important object to investigate in the linear/additive CA because it is a primary interest in applications like pattern recognition, pattern classification, design of associative memory and query processing et
Publikováno v:
Journal of Korea Multimedia Society. 18:1281-1288
Nongroup Cellular Automata(CA) having two trees in the state transition diagram of a CA is suitable for pattern classifier which divides pattern set into two classes. Maji et al.[1] classified patterns by using multiple attractor cellular automata as
Publikováno v:
Advanced Science and Technology Letters.
Publikováno v:
The Journal of the Korea institute of electronic communication sciences. 9:673-679
The important requirements of designing a pattern classifier are high throughput and low memory requirements, and low cost hardware implementation. A pattern classifier by using Multiple Attractor Cellular Automata(MACA) proposed by Maji et al. reduc