IJARAI Volume 5 Issue 12

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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Paper 1: Size Distribution Estimation Method using Reflected Laser Light Angle Dependency by Rain Droplets

Abstract: Methods for size distribution estimation and rainfall type discrimination with estimated phase function using measured reflected laser light by rain droplet are proposed. Preliminary experiments are conducted with Laser ranging instrument and spectral radiometer for estimation of size distribution and rainfall type discrimination as well as phase function of scattering by rain drops. Through the experiments, it is found that rainfall type can be discriminated together with rain droplet size distribution estimation.

Author 1: Kohei Arai

Keywords: Rainfall; Laser ranging; Marshall Palmer distribution; Rayleigh scattering; Mie scattering; Phase function; Rain drpolet size distribution

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Paper 2: Data Hiding Method Replacing LSB of Hidden Portion for Secret Image with Run-Length Coded Image

Abstract: Data hiding method based on steganography improving secret image invisibility through replacing Least Significant Bit: LSB with run-length coded Image is proposed. Although, the proposed method is based on Discrete Wavelet Transformation: DWT, run-length coded secrete image is embedded in the LSB of the high frequency component before reconstruction of the image for opening to the public for improvement of the secrete image invisibility. Before embedding the coded secret image, the coded secret image bits are rearranged the order by using random number. Therefore, secret image invisibility is much improved. Through experiments, it is confirmed that secret images are almost invisible in distribute images. Data hiding performance in terms of invisibility of secret images which are embedded in distribute images is evaluated with the Peak Signal to Noise Ratio: PSNR and the Root Mean Square: RMS difference between the original secret image and extracted one from the distribute images. Meanwhile the conventional Multi-Resolution Analysis: MRA based data hiding is attempted with a variety of parameters, level of MRA and the frequency component location of which secret image is replaced to it and is compared to the proposed method. It is found that the proposed data hiding method is superior to the conventional method.

Author 1: Kohei Arai

Keywords: Wavelet; DWT; Steganography; Random number based Permutation; Data hiding; Data compression

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Paper 3: Development of Decision Support System to Selection of the Blended Learning Platforms for Mathematics and ICT Learning at SMK TI Udayana

Abstract: The development of information technology is able to solve problems in various areas of life, including education. Some examples of the application of information technology in education, among others: e-learning, e-library, e-module, blended learning, and more. One school in Bali that also apply information technology in the learning process, namely SMK TI Udayana. Application forms of information technology in the learning process at SMK TI Udayana have the shape of utilization of blended learning. There are several platforms options can be used for blended learning in the learning process at SMK TI Udayana, including: Edmodo, Quipper School, Moodle, Kelase, and others. Facts show that the number of platforms that can be used for blended learning, sometimes making teachers and students get confused to choose the most suitable, especially in the process of mathematics and ICT learning at SMK TI Udayana. Based on these problems, then created of the decision support system to be able to choose a blended learning platforms that is suitable for mathematics and ICT learning at SMK TI Udayana. The methods used in this decision support system is weighted product, because it can determine blended learning platforms for mathematics and ICT learning based on the highest value obtained from the calculation of several criteria.

Author 1: I Made Ardana
Author 2: I Putu Wisna Ariawan
Author 3: Dewa Gede Hendra Divayana

Keywords: Blended Learning; Decision Support System; Weighted Product; Mathematics and ICT Learning

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Paper 4: Neural Backpropagation System for the Study of Obesity in Childhood

Abstract: This paper presents the development of a nutritional system using Backpropagation neural network, that is able to provide a clear and simple prediction problems of obesity in children up to twelve years, based on your eating habits during the day. For the development of this project has taken into account various factors, which are vital for the proper development of infants. A prediction system can offer a solution to several factors, which are not easily determined by convectional means.

Author 1: A. Medina-Santiago
Author 2: E. M. Melgar-Paniagua
Author 3: L. C. Campos-Reyes
Author 4: A. Cisneros-Gómez
Author 5: N. R. García-Chong

Keywords: prediction system; Nutrition; Backpropagation Neural Network; Obesity

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