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In the progression from CMOS technology to nanotechnology, being able to assess reliability of nano-based electronic circuits is fast becoming necessary. Due to this phenomenon, several computational-based approaches have been proposed for the reliability assessment of nanotechnology-based circuit systems. In quantifying reliability measure of the desired circuit system, faulty gates are considered...
Operators of aging offshore platforms that require lifespan extension often undertake revamp and rejuvenation projects to replace or repair existing aged or obsolete platform equipment with newer ones that may also utilise newer technology. Although power generation technologies such as unmanned thermoelectric generation (TEG), photovoltaics, microturbines, gas generators and low energy lighting such...
Radial basis function networks (RBF) is one form of feed forward neural network architecture which is popular besides multi layer preceptor (MLP). It is widely used in identifying a black box system. Finite difference approach is used to improve the learning performance especially in the non-linear learning parameter update for identifying system with lost packet in online manner. Since initializing...
Most existing image enhancement algorithms work on a single image. Their performance is limited by the capacity of the sensor by which the image is originally taken. In some cases they completely fail to provide us the necessary enhancements. Here we propose a composite image enhancement approach for enhancing still images. We combine the relevant features of the input images and produce a composite...
Radial Basis Function networks (RBF) is one form of feed forward neural network architecture which is popular besides multi layer preceptor (MLP). It is widely used especially in identifying a black box system. In many cases, identifying of the system process normally has lack of data or may lose some packets data needed in the identifying process. Finite Difference approach with its enhancement,...
Device independent, quantitative description of color is a challenging problem. Another problem is that even under equal intensity, some colors are visually brighter than others. Different color representations try to overcome these problems, with varying degrees of success. It is for this reason that there are so many standard color representations. In this paper our goal is to analyze and evaluate...
A multi-sensor pixel based image fusion system using multi-resolution (MR) approach is proposed. Images captured by visual cameras are fused with those captured by night vision cameras for visibility improvement of a surveillance system and for driving at night or in bad weather conditions. Images captured by visual cameras in insufficient illumination generally have dark shadows and low contrast...
Wireless technologies have tend to become core element of system e.g. sensors and logging system. When there is an input to the system and output to predict thus identification represents an important tool in many practical engineering circumstances. The current trend is to integrate wireless technologies and system identification together in sense of having an identification element or identifier...
Adaptive Marquardt parameter correction techniques are tested for recursive Levenberg-Marquardt (RLM) and proposed novel application on decomposed recursive Levenberg Marquardt (DRLM) algorithms. The adaptive Marquardt correction is based on recursive moving-window residual. Experiment results show superior convergence using decomposed approach and a slight improvement in performance by adopting the...
There is a tremendous interest to use wireless networks as a replacement for its wired counterpart in the industrial applications. In this paper an instantaneous training of linear network is being investigated on a simulated wireless environment, in which the identification element or the identifier receives seemingly uninterrupted input/output observations from a system over a wireless link in order...
Observing people is currently one of the most active application areas in computer vision. This strong interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual interface, etc [13]. This paper presents the concept of knowledge extraction from single human motion via a fixed camera in an enclosed environment in order to mine...
The quantitative computation of surface roughness has received increasing attention due to its importance in numerical surface study. A number of algorithms have been employed to compute surface roughness. These algorithms, which operate at singular scales of measurement, provide scale-dependant roughness parameters. In this paper, the computation of a scale-independent roughness parameter is performed...
An enhanced online adaptive centre allocation algorithms (or resource allocation network (RAN)) using simple/stochastic back-propagation method with minimal weight update variant are developed for direct-link radial basis function (DRBF) networks. These algorithms are developed primarily for applications with fast sampling rate which demands significant reduction in computation load per iteration...
System identification with lost information packets has been studied for cruise control model benchmark problem. The paper investigates a simulation of linear system identification while using wireless links as a signal transfer medium. This paper looks into both periodic and random loss of packets that consist of corresponding input and output data, in order to identify the underlying function of...
This paper presents the concept of extracting information from a moving object using a fixed camera in an enclosed environment in order to extract some of the image attributes. The work relies on tracking a single object in an indoor environments and the knowledge extraction of a particular object is based on three preset measurement tools. The first tool is pixel location retrieval by calculating...
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