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06 Sep 2011TL;DR: Computer simulation shows that the simple form of FA without combination with other methods performs very well to solve some TSP instances, but it can be trapped into local optimum solutions for some other instances.
Abstract: This paper addresses how to apply firefly algorithm (FA) for travelling salesman problem (TSP). Two schemes are studied, i.e. discrete distance between two fireflies and the movement scheme. Computer simulation shows that the simple form of FA without combination with other methods performs very well to solve some TSP instances, but it can be trapped into local optimum solutions for some other instances.
184 citations
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12 Jul 2012TL;DR: A watermarking scheme using LSB Modification to perform tamper detection and recovery in the ROI and RLE is used to embed the original LSBs in the RONI to get higher embedding capacity to detect and localize tampered area of medical images.
Abstract: Medical images have been used as one of the objects to diagnose the patient. A digitally formatted medical image is easier to be stored and distributed but also easier to be modified for illegal purposes. Digital image watermarking offers a solution to protect digital medical images. By embedding fragile authentication watermark, the watermarking system can detect and localize the tampered area of medical images. Moreover, by embedding the feature extraction in the form of average intensities of the image, an original image can be recovered from the tampered image. This paper will study and test a watermarking scheme using LSB Modification to perform tamper detection and recovery in the ROI. To make this watermarking scheme reversible, RLE is used to embed the original LSBs in the RONI to get higher embedding capacity. The experimental results show that this watermarking system can detect and localize tamper with up to 100% accuracy and perform image recovery up to 100% recovery rate until 20% of tempered area in ROI.
55 citations
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TL;DR: An adaptive mechanism is designed to improve the network performance of the system, in order to achieve a more reliable smart farm system by using LoRaWAN and IEEE 802.11ac protocols.
38 citations
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TL;DR: It is proved that the combination of GA in HMM method can gives more optimal results when compared with the HMM system that not combine with any method.
Abstract: Speech to text was one of speech recognition applications which speech signal was processed, recognized and converted into a textual representation. Hidden Markov model (HMM) was the widely used method in speech recognition . However, the level of accuracy using HMM was strongly influenced by the optimalization of extraction process and modellling methods . Hence in this research, the use of genetic algorithm (GA) method to optimize the Ergodic HMM was tested. In Hybrid HMM-GA, GA was used to optimize the Baum-Welch method in the training process. It was useful to improve the accuracy of the recognition result which is produced by the HMM parameters that generate the low accuracy when the HMM are tested. Based on the research, the percentage increases the level of accuracy of 20% to 41%. Proved that the combination of GA in HMM method can gives more optimal results when compared with the HMM system that not combine with any method.
38 citations
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20 Mar 2013TL;DR: In this article, a rainfall forecasting system using fuzzy system based on genetic algorithm (GA) is made, the data used within this research is taken from Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG) for Kemayoran area.
Abstract: Weather forecasting information is very crucial in decision making process regarding to activities and works, such as in the field of agriculture to determine initial growing season. Recently, climate change causes trouble in weather forecasting. In this paper, rainfall forecasting system using fuzzy system based on genetic algorithm (GA) is made. The data used within this research is taken from Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG) for Kemayoran area, Jakarta. Those data include temperature, air pressure, rainfall, solar radiation, relative humidity, and wind speed. Based on experiment result, it can be concluded that the combination of GA and Fuzzy for Kemayoran weather data can produce prediction model with higher than 90% accuracy with several population size and crossover probability. This condition is highly affected by input data and conducted classification. Obtained model can be used in predicting rainfall class for the next day that divided into 4 class of no-rain or mild rain ( 100 mm).
31 citations
Authors
Showing all 570 results
Name | H-index | Papers | Citations |
---|---|---|---|
Saiful Amri Mazlan | 28 | 263 | 2807 |
Adiwijaya | 17 | 124 | 1000 |
Suyanto Suyanto | 13 | 88 | 462 |
Kridanto Surendro | 13 | 124 | 650 |
Achmad Rizal | 12 | 70 | 385 |
Agung Trisetyarso | 9 | 77 | 243 |
Gandeva Bayu Satrya | 9 | 42 | 261 |
Untari Novia Wisesty | 9 | 39 | 235 |
Fhira Nhita | 8 | 38 | 213 |
Vera Suryani | 8 | 24 | 130 |
Hendrawan | 8 | 69 | 229 |
Warih Maharani | 8 | 34 | 208 |
Rd. Rohmat Saedudin | 8 | 68 | 201 |
Bedy Purnama | 7 | 30 | 131 |
Adiwijaya Adiwijaya | 7 | 76 | 186 |