Items where Author is "Ernawan, Ferda"

Click here for a simple search.
[feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Authors | Item Type | No Grouping
Jump to: E | M | Y | Z
Number of items: 14.


Ernawan, Ferda and M. N., Kabir and Zuriani, Mustaffa (2018) A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection. In: 12th International Conference for Internet Technology and Secured Transactions (ICITST), 2017, 11-14 December 2017 , Cambridge, United Kingdom. pp. 92-97.. ISBN 9781908320933 (online)

Ernawan, Ferda and Kabir, M. Nomani (2018) A Robust Image Watermarking Technique With an Optimal DCT-Psychovisual Threshold. IEEE Access, 6 . pp. 20464-20480. ISSN 2169-3536

Ernawan, Ferda and Zuriani, Mustaffa (2018) A blind multiple watermarks based on human visual characteristic. In: International Conference On Electrical, Electronic, Communication and Control Engineering , 5-6 December 2017 , Universiti Teknologi Malaysia, Kuala Lumpur Campus. pp. 31-38., 8 (4). ISSN 2088-8708

Ernawan, Ferda and M. N., Kabir and Kamal Z., Zamli (2017) An Efficient Image Compression Technique using Tchebichef Bit Allocation. Optik - International Journal for Light and Electron Optics, 148 . pp. 106-119. ISSN 0030-4026

Ernawan, Ferda and Ramalingam, Mritha and Sadiq, Ali Safa and Zuriani, Mustaffa (2017) An Improved Imperceptibility and Robustness of 4x4 DCT-SVD Image Watermarking Using Modified Entropy. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9 (2-7). pp. 111-116. ISSN 2180-1843

Ernawan, Ferda and M. N., Kabir and Jasni, Mohamad Zain (2017) Bit Allocation Strategy Based on Psychovisual Threshold in Image Compression. Multimedia Tools and Applications . pp. 1-24. ISSN 1380-7501(print); 1573-7721(online)

Ernawan, Ferda and M. N., Kabir and Mohamad Fadli, Zolkipli and Zuriani, Mustaffa (2017) Block-based Tchebichef image watermarking scheme using psychovisual threshold. In: 2016 2nd International Conference on Science and Technology-Computer (ICST), 26-27 Oktober 2016 , Yogyakarta, Indonesia. pp. 6-10.. ISBN 9781509043576

Ernawan, Ferda and Zuriani, Mustaffa and Bayuaji, Luhur (2016) An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold. Information (Japan), 19 (9B). pp. 4177-4182. ISSN 1343-4500

Ernawan, Ferda (2016) A New Psychovisual Threshold Technique in Image Processing Applications. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 9-20.. ISBN 978-967-2054-04-7

Ernawan, Ferda (2016) Robust Image Watermarking based on Psychovisual Threshold. Journal of ICT Research and Applications, 10 (3). pp. 228-242. ISSN 23375787


Mohammed, Mohammed Adam Taheir and Sadiq, Ali Safa and Ruzaini, Abdullah Arshah and Ernawan, Ferda and Mirjalili, Seyedali (2017) Soft Set Decision/Forecasting System Based on Hybrid Parameter Reduction Algorithm. Journal of Telecommunication, Electronic and Computer Engineering, 9 (2-7). pp. 143-148. ISSN 2289-8131


Yap, Chew Shan and Tung, Kean Wei and Ramalingam, Mritha and Puviarasi, R. and Ernawan, Ferda and Chinnavan, Elanchezhian (2017) A Better Engineering Design for Safety Environment. International Journal of Pure and Applied Mathematics, 117 (9). pp. 65-69. ISSN 1311-8080 (print); 314-3395 (online)


Zuriani, Mustaffa and Ernawan, Ferda and M. H., Sulaiman and Syafiq Fauzi, Kamarulzaman (2017) Hybrid least squares support vector machines for short term predictive analysis. In: The 3rd International Conference on Control, Automation and Robotics (ICCAR 2017), 24-26 April 2017 , Nagoya, Japan. pp. 571-574.. ISBN 978-150906087-0

Zuriani, Mustaffa and M. H., Sulaiman and Ernawan, Ferda and Noorhuzaimi@Karimah, Mohd Noor (2017) Short term forecasting based on hybrid least squares support vector machines. In: International Conference On Computer Systems & Software Engineering, 22-24 November 2017 , Hotel Adya, Langkawi. pp. 1-8.. (Unpublished)

This list was generated on Tue Jun 19 03:36:30 2018 MYT.








An Institutional Repository is an online focus for collecting, preserving, and disseminating any University publication in the digital form for the intellectual sharing.
The UMP Institutional Repository (UMP IR) provides access of University publication such as journal article, conference paper, research paper, thesis and dissertations.

Any Enquiries

Please email or call Knowledge Management staff:-

Pn. Noorul Farina (09-424 5605) OR
Cik Ratna Wilis Haryati (09-424 5612)

Any correspondence concerning this specific repository should be sent to