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Finding the correct boundary in noisy images is still a difficult task. This paper introduces a new edge following technique for boundary detection in noisy images. Utilization of the proposed technique is exhibited via its application to various types of medical images. Our proposed technique can detect the boundaries of objects in noisy images using the information from the intensity gradient via...
Currently, most multihomed-to-multiple providers need to control the flow of interdomain traffic for both performance and economical reasons. This is usually done by manual configuration of the Border Gateway Protocol (BGP) on routers to control interdomain traffic. In this paper, we approach the solution to the traffic engineering problem with BGP-based traffic engineering techniques and reservation...
The Runoff forecasting is an important factor in river basin management. In this paper, we use fuzzy support vector machine regression (FSVMR) to predict the Runoff of Yom River at Sukhothai province, Thailand. The results show that the FSVMR is a suitable method in forecasting runoff.
We further investigate the performances of our previously proposed technique for received signal power prediction in the direct sequence code division multiple access (DS/CDMA) systems based on support vector regression (SVR.) The scheme is based on one-step ahead prediction using the past values of signal series as the inputs. The predictor parameters are chosen by considering the minimum mean square...
This paper presents a novel edge following technique for image segmentation designed to segment the left ventricle in cardiac magnetic resonance (MR) images. This is a required step to determine the volume of left ventricle in a cardiac MR image, which is an essential tool for cardiac diagnosis. The traditional method for extracting them from cardiac MR images is by human delineation. This method...
An electrocardiogram (ECG) reconstruction method based on a linear prediction technique is proposed in this paper. The method can reconstruct a rather long missing parts of ECG signals. Each missing data segment may cover 1 to 8 beats. The data used in the experiments are from the MIT-BIH normal sinus rhythm database. The experimental results show that our method can perform very well. The reconstructed...
Follow-up of human immunodeficiency virus (HIV) patients treated with nevirapine (NVP) is a necessary process to evaluate the drug resistance and the HIV mutation. It is also usually tested by immunochromatographic (IC) strip test. However, it is difficult to estimate the amount of drug the patient gets by visually inspection of color. This study proposes the method of evaluating the drug concentration...
This paper presents a river flood prediction technique using support vector machine (SVM). We investigated the 2-year data covering 2005 and 2006 and 7 crucial river floods that occurred in the downtown of Chiang Mai, Thailand. Past and current river levels of the 3 gauging stations are utilized as the input data of the SVM models to predict the river levels at the downtown station in 1 hour and 7...
This paper presents an application of the support vector regression (SVR) in prediction of received signal power in the direct sequence code division multiple access (DS/CDMA) systems. The predictor selects the parameters by using five-fold cross-validation method. The results are evaluated in term of minimum mean square error (MMSE.) The inputs for the predictor are the past values of signal series...
This paper investigates the behavior of a short term load forecasting system in the cross-substation scheme. The proposed forecasting system is based on the support vector machine with the input features of past loads and temperature. It is trained with the data from one substation and tested on the blind-test data from other substations. A set of real-world data from 4 substations in Bangkok, i.e...
In this paper, we propose a Thai phoneme recognition system with a soft phoneme segmentation. The soft phoneme segmentation technique is based on the characteristics of Thai language in that the vowel is the core of a syllable. The recognition system utilizes the discrete hidden Markov model to recognize the Thai phonemes, i.e., 21-class initial consonants, 18-class vowels, and 9-class final consonants...
Breast cancer is an important deleterious disease. Mortality rate from this cancer is effectively high and rapidly increasing. The detection at the earlier state can help to reduce the mortality rate. In this paper, we develop a system that helps radiologists to detect microcalcification in mammograms. In particular, we apply the interval type-2 fuzzy logic system with four features, i.e., B-descriptor,...
This paper presents a new technique in short-term load forecasting (STLF.) The proposed method consists of the discrete wavelet transform (DWT) and support vector machines (SVMs.) The DWT splits up load time series into low and high frequency components to be the features for the SVMs. The SVMs then forecast each component separately. At the end we sum up all forecasted components to produce a final...
Computed tomography (CT) is one of the most popular methods in non-destructive testing for industrial materials. Although there are many medical-related research activities on CT, there are not many of those for other materials, especially metals. In this paper, we propose an X-ray CT image reconstruction method based on Fourier transform for two kinds of industrial materials, i.e., iron and aluminum...
One of the leading diseases in women is breast cancer. The detection in an earlier stage is done by indicating the presence of microcalcification or mass. We develop two detection systems that can help a radiologist to detect microcalcifications and masses in mammograms. In particular, we utilize Mamdani inference system with four features, i.e., B-descriptor, D-descriptor, average intensity inside...
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