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Induction motor is an extremely non-linear system and it poses a great challenge for the fault detection scheme due to large and complex data processing. Induction motor fault can lead to huge losses and excessive downtimes with regards to maintenance and production. An external fault like unbalanced voltage supply could be very sever and result in excessive losses, mechanical oscillations, overvoltage,...
Recent advances in wireless technologies have prompted the applications of these cheap technologies to industrial monitoring and control application. However, this application is hindered by lack of adequate infrastructure such as the wireless adaptors. This led to the development of adaptors by organization such as Emerson Process Management, AwiaTech Corporation, etc. The developed adaptors by these...
The localization of brain sources due to which neural signals are generated is known as brain source localization. These signals are measured by various neuroimaging techniques such as MRI, EEG, PET and MEG. Nevertheless, when the neuroimaging technique is EEG, then it is specifically termed as EEG source localization. This problem is also referred to as EEG inverse problem. This problem is defined...
A tri-band fractal structure for Agriculture, WLAN and GSM band applications is presented. The desired resonances are 0.915, 1.8 and 2.45 GHz. This antenna consists of a modified 90 degree Koch fractal resonator, two layer substrates which are separated by an air gap layer and then fed through the SMA port and finally simulated on RT/Duroid 5880. Fractal shapes have been used to have a multi-band...
High-Capacity, reliable communication over sea has always been a challenge due to vast distances. Transhorizon non-line-of-sight (NLOS) communication has further reliability issues. This paper proposes a trans-horizon link based data communication with high availability in maritime wireless communication backhaul network over sea using evaporation duct. Currently long-range, high-speed backhaul communication...
Plant process is a form of a process which requires a robust controller to regulate the process. Therefore, tuning of the controller for the specific process is necessary and each controller is process specific. This paper focuses on using the biomimetic algorithm due to its' competency to improve the system performance in terms of rise time, settling time and overshoot to regulate a closed loop pressure...
This paper presents the optimization process of proposed generator designs for Wave Energy Converter (WEC) system in Malaysia. Two initial generator designs have been proposed and their open-circuit simulation results have been acquired. Both designs are optimized in term of total number of coil turns, split ratio and pitch ratio to increase the performance of the machines. Finite element analysis...
Cognitive state classification is a challenging task. Many studies were reported using different neuroimaging modalities for classification of the cognitive states of the human brain e.g., EEG, fMRI, MEG etc. However, functional MRI seems to be appropriate for these papers as due to its good spatial resolution and localizing the brain activated regions. In this paper, our objective is to identify...
In this paper, we propose possibility for reconstruction of surface of an underwater object or 3D scene reconstruction of an underwater environment using an economical RGB-D sensor such as Microsoft Kinect. Reconstructing the 3D surface of an underwater object is a challenging task due to degraded quality of underwater images. There are various reasons of quality degradation of underwater images i...
Least-Mean Square algorithm, or simply the LMS, is generally one of the most commonly used techniques for optimized solution in adaptive schemes especially in the Gaussian environment. However, least mean fourth (LMF) algorithm and its variants, such as normalized LMF (NLMF), perform better in the non-Gaussian environment. The conventional LMF algorithms usually diverge in non-Gaussian environment...
Joint processing (JP) is a powerful mechanism in alleviating inter-cell interference (ICI) and maximizing data rate of cell-edge users. However, JP puts tremendous load on both feedback and backhaul overhead, thus partial JP was proposed to overcome high overhead signaling. Unlike linear techniques such as zero-forcing (ZF), achieving an equivalent backhaul reduction and presenting a totally free...
This paper presents a new hybrid load forecast model to improve the accuracy and robustness of load profile forecasting (1–24 hours ahead). It comprises of Wavelet transform and Neural network based on parallel prediction method, which is called "PWNN". Wavelet transform is used to decompose the original load series into multiple load sub-series with different frequencies. Then, neural network...
With the advancement in microfluidic "lab on a chip" systems, a mechanism to continuously separate submicron particles is needed. Dielectrophoresis (DEP) is a method that has demonstrated great potential in cell discrimination and isolation from mixture of many heterogeneous samples by utilizing the electrical properties of particles/cells and the medium. Here, we present a numerical model...
Marine Control Source Electromagnetic (MCSEM) method is recently considered as the de-risking tool for the hydrocarbon exploration in offshore environment. The method conventionally uses Horizontal Electric Dipole (HED antenna, towed by a ship that transmits low-frequency waves. The received signal describes the resistivity contrast hence, the oil presence information is revealed. Towing the transmitter...
With the advancements in the development of low power and limited broadcast range wireless ad hoc networks that support high data rate applications, the probability of information loss due to congestion is very high. One important factor is the timely detection of congestion that significantly improves the performance of the network. Currently most of the solutions either try to periodically/continuously...
Digital microfluidics biochips has led to the revolution of modern day clinical diagnostics procedures. These biochips enable the use of nano-liter volume of samples and reagents. A more recent architecture of digital microfluidics known as Micro-electrode Dot Array (MEDA) has been introduced which incorporate some advance operations like diagonal movement and channel based routing. Owing to this...
The Normalized Least Mean Square (NLMS) algorithm belongs to gradient class of adaptive algorithm which provides the solution to the slow convergence of the Least Mean Square (LMS) algorithm. Motivated by the recently explored q-gradient in the field of adaptive filtering, we developed here a q-gradient based NLMS algorithm. More specifically, we replace the conventional gradient by the q-gradient...
For decades, the oil and gas industry has been relying on conventional lightings such as fluorescent and gas discharge lightings, which inherently comes with a set of challenges such as high replacement cost, more so for offshore oil and gas facilities. The maturing technology of explosion proof LED (ExLED) lightings in the recent years has provided an opportunity for the industry to take a fresh...
Analog-to-Digital Converter (ADC) technology has been advancing to achieve a balance between speeds, size and cost. Successive approximation register (SAR) ADC is very popular for medium-to-high resolution as it is small but has difficulties in achieving high speed while flash ADC is big and not cost effective. Also, for different purposes, ADC have different resolution requirement. Producing ADCs...
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