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Most electricity bills are paid by the post-paid method, which corresponds to the real electricity consumed by electrical appliances. Demand Response (DR) programs are based on showing the consumer the current floating electricity price. Users do not realize the impact of the consumption cost as it changes for each mode of individual electricity consumption behaviors. An Electricity Forecasting Service...
This paper presents a cantilever beam vibration from fluid interactions with triangular shape blunt-body for energy harvesting application. The cantilever beam produces mechanical energy by interacting between fluid and blunt-body and then converts it into an electrical energy through the piezoelectric effect. The cantilever beam has been developed in the COMSOL software by using the finite element...
The maximum allowable penetration level of Photovoltaic-based distributed generation (PVDG) is one of the major concerns in power system. It gives significant impacts since PVDG might inject positive and negative effects to the distribution system. In this regard, this paper investigates the relationship between PVDG injections on distribution system and system losses. Three different IEEE test systems...
Nowadays, nanoscale materials are increasingly popular in academic and industrial research. It is expected that the combination of nanoscale materials with other material can contribute more benefits. The use of nanoscale materials often require their dispersion in variety of liquids, to enable them to become part of the liquid product, also known as nanofluids. For example, one of the applications...
This paper presents the analysis of constructed shielded Rogowski coil (RC) sensor for partial discharge (PD) measurement. The RC sensor with rectangular shape has been designed in order to compare the performance unshielded and shielded type in term of sensitivity. Solidwork 3D CAD software has been used to design the core of RC sensor with their casing. Marker Board Replicator 2X 3D printer is used...
The function of the proposed control (MMC) inverter is to convert DC power coming from the DC link made of series connected wind turbines to generate a suitable AC power, and fix the power factor (PF) of the grid at a target PF during normal operation and dc fault contingencies. This is achieved by controlling the reactive current injected to the grid. The MMC inverter is for permanent magnet wind...
Recently, the technology of Home Energy Management System (HEMS) has expanded for the purpose of reducing energy consumption. This paper presents the development of a smart plug with a wireless Zigbee sensor for measuring power consumption of electrical appliances in the HEMS. Experiments were carried out to evaluate the power consumption of a wireless sensor node in a smart plug using only Zigbee...
This paper presents a study of recent development in the field of acoustic energy harvesters (AEHs) technique and the maximum power generated from each of these techniques. AEHs convert the acoustic energy into useful electrical energy for the operation of autonomous wireless sensors. Acoustic energy is an important form of efficiency energy which is created and unused all around us. Due to the majority...
This paper presents an optimization method for sizing a standalone PV system by considering improved PV array model, dynamic storage battery model, and realistic objective function. The loss of load probability is used to define the availability level of the system. Different PV/battery configurations with different availability levels are generated using the proposed numerical algorithm. These configurations...
This paper presents an optimal switching strategy employed in direct torque control (DTC) of induction machine utilizing dual-inverter supplied drive. In the proposed switching strategy, the utilization of appropriate amplitude of voltage vectors based on machine operating condition can reduce the rate change of torque slope while improving the performance of DTC drive in term of torque ripple reduction...
Brain tumors have been created by abnormal and uncontrolled cell division inside the brain. A crucial and lengthy task is the segmentation of brain tumors, which can be gained manually with the help of Computed Tomography (CT). Treatment, diagnosis, signs and symptoms of the brain tumors mainly depend on the volume, shapes and location of the tumors. The accuracy and time of detecting brain tumor...
Hyperspectral imaging with spectral region of 400nm to 1000nm has been built for guava defect detection. Fluorescent light was chosen as the light source for image acquisition. Due to the low reflectance spectrum of fluorescent light source in infrared region, analysis was carried out in visible region with spectral from 431nm to 642nm. Image captured in this experiment shown uneven illumination where...
The increasing number of training algorithms along with their convincing results will make this question that which algorithm will be more efficient. This study aims to perform some widespread tests on some well-known training algorithms (Levenberg - Marquardt, Resilient back propagation and Scaled conjugate gradient) to evaluate their performance for scene illumination classification. The results...
The image such as CT scan, x - ray image, CCTV videos and hand phone's camera is kind of low resolution image producers. Digital camera captured the continuous scenes and transform into discrete presentation in term of space and intensity. In sampling process it may create aliasing and information lost at frequency below the Nyquist sampling rates. Therefore the image suffered with an ill-posed problem...
Finger spelling is a way of communication by expressing words using hand signs in order to ensure deaf and dumb community can communicate with others effectively. Therefore, a system that can understand finger spelling is needed. As a result of that, this work is conducted to primarily develop a tutoring system for finger spelling. To develop a robust real-time finger spelling tutoring system, it...
In this paper, we propose a Vehicle Logo Recognition (VLR) approach which uses moment invariant for feature extraction. Moment invariants and Minimum-Mean Distance (MMD) classifier are adopted to recognize six different types of vehicle logos from a public dataset. Vehicle logos obtained from coarse and fine segmentation, are recognized using Tchebichef and Legendre moment invariants. In either coarse...
The dynamic and regular growth in multimedia domain has prompted researchers to go on studies, that how to manage and classify images properly. Numerous techniques in that direction have been proposed. Some of them classify images based on their low-level feature or Meta data. However, these techniques are short of classifying objects into main-class and sub-class of the images. Usually, the image...
This study explores the potential landslide susceptibility area in Cameron Highlands, Malaysia that experiences high number of soil erosion. There are more than 50 landslide identified in this region from the history landslide database. 18 landslides with complete information have been used in this study. ArcGIS were used to analyze the input data and causative factors. Experimental results shows...
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