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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Rekayasa elektrika

Yuwaldi Away

Syiah Kuala University

Author-ID : 2377958

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Published : 8 Documents Claim Missing Document

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Articles

Title

Improvement of binarization performance using local otsu thresholding Khairun Saddami; Khairul Munadi; Yuwaldi Away; Fitri Arnia
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 1: February 2019
Publisher : Institute of Advanced Engineering and Science

Ancient document usually contains multiple noises such as uneven-background, show-through, water-spilling, spots, and blur text. The noise will affect the binarization process. Binarization is an extremely important process in image processing, especially for character recognition. This paper presents an improvement to Nina binarization technique. Improvements were achieved by reducing processing steps and replacing median filtering by Wiener filtering. First, the document background was approximated by using Wiener filter, and then image subtraction was applied. Furthermore, the manuscript contrast was adjusted by mapping intensity of image value using intensity transformation method. Next, the local Otsu thresholding was applied. For removing spotting noise, we applied labeled connected component. The proposed method had been testing on H-DIBCO 2014 and degraded Jawi handwritten ancient documents. It performed better regarding recall and precision values, as compared to Otsu, Niblack, Sauvola, Lu, Su, and Nina, especially in the documents with show-through, water-spilling and combination noises.

Negative Total Float to Improve a Multi-Objective Integer Non-Linear Programming for Project Scheduling Compression Fachrurrazi Fachrurrazi; Abdullah Abdullah; Yuwaldi Away; Teuku Budi Aulia
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

This paper presents Multi-Objective Integer Non-Linear Programming (MOINLP) involving Negative Total Float (NTF) for improving the basic model of Multi-Objective Programming (MOP) in case the optimization of the additional cost for Project Scheduling Compression (PSC). Using the basic MOP to solve the more complex problems is a challenging task. We suspect that Negative Total Float (NTF) having an indication to make the basic MOP to solve the more general case, both simple and complex of PSC. The purpose of this research is identifying the conflicting objectives in PSC problem using NTF and improving MOINLP by involving the NTF parameter to solve the PSC problem. The Solver Application, which is an add-in of MS Excel, is used to perform optimization process to the model developed. The results show that NTF has an important role to identify the conflicting objectives in PSC. We define NTF is an automatic maximum value of the activity duration reduction to achieve due date of PSC. Furthermore, the use of NTF as a constraint in MOINLP can solve the more general case for both simple and complex PSC problem. Base on the condition, we state that the basic MOP is still significant to solve the PSC complex problems using MOINLP as a sophisticated MOP technique.

Co-Authors - Firmansyah Abdullah Abdullah Fachrurrazi Fachrurrazi Fitri Arnia Ikram Muddin Khairul Munadi Melinda Melinda Muhammad Ikhsan Muhammad Ikhsan Novandri, Andri Oktiana, Maulisa Rizal Munadi Rizal Munadi RR. Ella Evrita Hestiandari Saddami, Khairun Teuku Budi Aulia

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Journal : International Journal of Electrical and Computer Engineering