Loi Lei Lai

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This paper presents a computational algorithm for identifying power frequency variations and integer harmonics by using wavelet-based transform. The continuous wavelet transform (CWT) using the complex Morlet wavelet (CMW) is adopted to detect the harmonics presented in a power signal. A frequency detection algorithm is developed from the wavelet scalogram(More)
The electric power industry is undergoing rapid and significant change with the advent of deregulation. In a networked environment, it is desirable that the agent be mobile. In the envisaged market scenario, the customer's agent (load) attempts to get the best value for money and minimize costs and the seller's (generator) agent attempts to maximize profit(More)
This chapter gives an account o f t h e regulatory rules, rights and responsibilities essential for adequate transmission expansion in the new environment of the market-based electricity industry. We point out that the lack of incentives for transmission system expansion is the major cause for the current trend of declining reliability. The trend will(More)
The aim of this paper is to construct a bio-inspired hierarchical neural network that could accurately represent visual images and facilitate follow-up processing. Our computational model adopted a ganglion cell (GC) mechanism with a receptive field that dynamically self-adjusts according to the characteristics of an input image. For each GC, a micro neural(More)
Each year, some 30 percent of global deaths are caused by cardiovascular diseases. This figure is worsening due to both the increasing elderly population and severe shortages of medical personnel. The development of a cardiovascular diseases classifier (CDC) for auto-diagnosis will help address solve the problem. Former CDCs did not achieve quick evaluation(More)