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In this paper, we propose an adaptive framework for the variable step size of the fractional least mean square (FLMS) algorithm. The proposed algorithm named the robust variable step size-FLMS (RVSS-FLMS), dynamically updates the step size of the FLMS to achieve high convergence rate with low steady state error. For the evaluation purpose, the problem of system identification is considered. The experiments...
Most Verilog and VHDL design processes, reported in current publications, lack detailed information on the procedures required to design on the Field Programmable Gate Array (FPGA) platform. Current reports do not provide a systematic and standard design process for students in Verilog and VHDL programming from the distinct aspect of teaching and learning point of view. In this work, a comprehensive...
In recent years, the demand for agarwood oil has increased tremendously. Agarwood oil is being used widely in fragrance, incense and religious ceremony. The quality of agarwood oil will determine the price of the oil. However, there are some limitations on using standard approach to classify its quality as they are time consuming, expensive and the results is questionable. This paper presents on the...
This paper presents the modelling of agarwood oil (AO) significant compounds by different qualities using Scaled Conjugate Gradient (SCG) algorithm. This technique involved of data collection from Gas Chromatography-Mass Spectrometry (GC-MS) for compound extraction. The development of Multilayer perceptron (MLP) is used to discriminate the qualities of AO chemical compounds to the high and low quality...
In this paper we present a methodology for monitoring of human activities in home using audio recordings captured from mobile phone. Specifically, after estimating a large set of audio features, unsupervised clustering is performed in order to extract feature subspaces. Human activity sound models were trained using different combinations of these subspaces. The best performance 92.46% was achieved...
This paper discusses the development of a low-cost embedded-based electrooculogram (EOG) blink pulse classifier. A signal conditioning circuit from a single quad operational amplifier (Op-Amp) and an Arduino based on the ATmega32u4 AVR 8-bit microcontroller board comprised the major components of the embedded-based classifier. The evaluation of the nearest neighbor algorithm classifier resulted to...
This study evaluates the relationship between near infrared light and glucose concentration by means of adaptive linear neuron. Firstly, the design and the development of the proposed glucose measurement device are presented. After that, the experiment design of acquiring sufficient near infrared data for training and testing is described. Next, adaptive linear neuron was trained and validated to...
In this paper, a fractional order calculus based least mean square algorithm is proposed for complex system identification. The proposed algorithm, named as, fractional complex least mean square (FCLMS), successfully deals with the problem of complex error due to negative weights or complex input/output in the FLMS. For the evaluation purpose a complex linear system is considered. The FCLMS algorithm...
We are investigating countermeasure techniques against electric noise on telecommunication and related equipment. There are many types of electric noise, and we focus on the characterization of transient noise such as the switching noise of switching power supplies. We are developing a method of transient signal analysis based on linear predictive coding (LPC) for the purpose. Unfortunately, as standard...
The past couple of years have seen an explosion in mobile data traffic as a result of the growth of mobile devices such as smartphones, tablets, and those that are capable of monitoring, record, provide, and transfer Zetta Bytes of data on a yearly basis. As a solution, researchers focus toward the frequency band above 6 GHz bands to propose a new band that can offer larger bandwidth. However, to...
In bearing fault diagnosis, impulse periodic signals are associated with the presence of faults. This paper uses ensemble empirical mode decomposition (EEMD) and Teager energy operator (TEO) to emphasize periodic faults, thus improving the identification of frequency characteristic faults. In the paper two validation process are carried out, they involve the analysis of a simulated outer race fault...
Reduced-reference Image Quality Metric for Contrast-changed images (RIQMC) and No-Reference Quality metric for Contrast-Distorted Images (NR-IQACDI) are the state-of-the-art IQA for Contrast-Distorted Images (CDI). Nevertheless, there is room for improvement especially for the assessment results using image database called TID2013 and CSIQ. Most of the existing No-Reference Image Quality Assessment...
Flood forecasting is one of the most important and demanding operational responsibilities carried out by meteorological services all over the world. This task is complicated in the field of meteorology because all decisions have to consider in the visage of physiographical uncertainty factors such as the land coverage and vegetation, type of soil and topology of the catchment area [1][2]. This paper...
Validating the authenticity and integrity of videos appearing on mass and social media is a challenging problem with rapid technological advancement in video editing software. Video editing can be easily accomplished without much effort; however, the consequences can be severe. Tampering of digital video in the temporal domain involves a number of techniques like replication, insertion, shuffling...
Mathematical description of our physical world revolves in a great deal around partial and ordinary differential equations (PDES/ODEs). May it be the case of modelling cardiovascular system or quantum electrodynamics, solving a system of PDEs/ODEs, including their coupled forms is indispensable. It is known that many of these system of DEs does not have a closed form solution and need to be solved...
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