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In this paper, a local cloud monitoring station equipped with a fisheye lens camera is proposed and installed at Prince of Songkla University (PSU), Phuket. The station retrieves cloud images in conjunction with several meteorological sensors. The methodology and cloud classifier algorithm is proposed. The performance test using images captured from our cloud monitoring station shows that the cloud...
We study a hard geometric problem. Given n points in the plane and a positive integer k, the Rectilinear k -Bends Traveling Salesman Problem asks if there is a piecewise linear tour through the n points with at most k bends where every line-segment in the path is either horizontal or vertical. The problem has applications in VLSI design. We prove that this problem belongs to the class FPT (fixed-parameter...
The appearance of each cloud type can tell the different weather conditions. Clouds may tell the coming of storms, hails, or even lightning strikes. Therefore, cloud type classification can help to reduce preventable losses. This paper studies the classification of cloud types using ground-based images. Seven sky conditions are considered, namely, cirrus, cirro and altocumulus, stratocumulus, cumulus,...
The conference Program Committee has organized an exciting and balanced program comprising presentations from distinguished experts in the field, and important and wide-ranging contributions on state-of-the-art research that provides new insights into the latest innovations in Computational Intelligence, Communication Systems and Networks including modelling and computer simulation of a diverse range...
The flood forecasting is the key to support the right decision making. A method to forecast flood accurately and timely are important. We propose a method based on Radial Basis Function (RBF) neural network which has the important application in flood water level forecasting. The traditional way of training of the neural network may drive the network to converge in local minima instead of global minimum...
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