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Angela Amphawan, Angela
Universiti Utara Malaysia
Computer Science & IT Electrical & Electronics Engineering

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Performance Analysis on Text Steganalysis Method Using A Computational Intelligence Approach Din, Roshidi; Yusof, Shafiz Affendi Mohd; Amphawan, Angela; Hussain, Hanizan Shaker; Yaacob, Hanafizah; Jamaludin, Nazuha; Samsudin, Azman
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.2.532

Abstract

In this paper, a critical view of the utilization of computational intelligence approach from the text steganalysis perspective is presented. This paper proposes a formalization of genetic algorithm method in order to detect hidden message on an analyzed text. Five metric parameters such as running time, fitness value, average mean probability, variance probability, and standard deviation probability were used to measure the detection performance between statistical methods and genetic algorithm methods. Experiments conducted using both methods showed that genetic algorithm method performs much better than statistical method, especially in detecting short analyzed texts. Thus, the findings showed that the genetic algorithm method on analyzed stego text is very promising. For future work, several significant factors such as dataset environment, searching process and types of fitness values through other intelligent methods of computational intelligence should be investigated.
Radio Subcarrier Multiplexing in Conjunction with Optical Mode Division Multiplexing for 5G Networks Amphawan, Angela; Khalaf, Baseem; Tahir, Wanasiah; Haron, Hafiza; Adnan, Rukhiyah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.2.602

Abstract

5G is speculated to transform the mobile communications landscape by increasing data rates, latency, coverage and energy efficiency. Radio-over-fiber (RoF) provides a high-capacity, efficient and scalable 5G architecture for transporting radio signals through optical fibers, exploiting the enormous bandwidth of the optical fiber cables. In this paper, a new radio-over-fiber (RoF) architecture for future 5G networks is proposed using SCM-MDM for converging data streams from different picocells. Different sets of the Hermite-Gaussian (HG) modes are introduced for the SCM-MDM system in RoF. The effect of different sets of HG modes on the RoF system performance are compared in terms of the transverse electric fields, eye diagrams, modal analyses and bit-error rates. A total throughput of 19.5 Gb/s is achieved.
MDM of Hybrid Modes in Multimode Fiber Amphawan, Angela; Fazea, Yousef; Murad, Roslinda; Alias, Hajar; Sajat, Mohd Samsu
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.2.606

Abstract

This paper reports on MDM of a combination of helical-phased modes comprising ring modes and HG modes. 44Gbps data transmission is achieved by a wavelength division multiplexing (WDM) - MDM system of two center launched helical-phased ring modes and two 3μm radially offset HG mode on wavelengths 1550.12nm and 1551.72nm for a 1500m-long multimode fiber. The power coupling coefficients, degenerate mode group delays and bit error rates are analyzed for different HG modes and radial offsets.
Co-Authors Azman Samsudin, Azman Baseem Khalaf, Baseem Hafiza Haron, Hafiza Hajar Alias, Hajar Hanafizah Yaacob, Hanafizah Hanizan Shaker Hussain, Hanizan Shaker Mohd Samsu Sajat, Mohd Samsu Nazuha Jamaludin, Nazuha Roshidi Din, Roshidi Roslinda Murad, Roslinda Rukhiyah Adnan, Rukhiyah Shafiz Affendi Mohd Yusof, Shafiz Affendi Mohd Wanasiah Tahir, Wanasiah Yousef Fazea, Yousef