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This paper illustrates the procedure that takes advantage of the properties of discrete wavelet frames so as to improve the learning efficiency of static model representations. The focus is on using orthonormal basis functions due to its convergence properties and compactly supported in frequency domain. The network trained with stochastic gradient type algorithm is presented. Results obtained for...
Travel time prediction is a very important problem in intelligent transportation system research. We examine the use of boosting, a machine learning technique in travel time prediction, and combine boosting and neural network models to increase prediction accuracy. In addition, quality of service (QoS) factors such as bandwidth play an important role in travel time prediction, so we also explore the...
Many different types of keystroke dynamics approaches have been explored to protect personal data in networked systems. Keystroke patterns are behavioral biometrics, and are considered to be as unique to an individual as a signature. This paper presents a new approach to keystroke analysis that uses key press interval ratios to authenticate users. Participants in this study registered their passwords...
This paper presents a clutter reduction system when medium-high correlated Weibull-distributed clutter governs the environment of a coherent radar system. This proposal is based on the capabilities of learning of some artificial intelligence techniques, such as the neural networks. This capability of learning of the neural networks is used to learn some statistical characteristics of the radar environment...
Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a new feature extraction method is presented to identify vowels recorded from 80 Malaysian speakers. The features are obtained from Vocal Tract Model based on Bandwidth (BW) approach. The bandwidth is determined...
This paper presents simple methods for translating Kod Tangan Bahasa Melayu (KTBM) into voice signal based on subject head and two hand gestures. Different gesture signs made by different subjects are captured using a USB Web camera in RGB video stream format with a screen bit depth of 24 bits and a resolution of 320 times 240 pixels. The recorded video of the sign language is divided into number...
In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a steel plate. The plate is excited by an impulse signal and made to vibrate; statistical features are then extracted from the vibration signals which are measured at different locations...
Due to the nature of job, unhealthy social habits and voice abuse, the people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. Therefore, the voice signal can be a useful tool to diagnose them. Acoustic voice analysis can be used to characterize the pathological voices. This paper presents the detection of...
Traditionally, loudspeaker's quality control has been done manually and inspection of loudspeaker faults is time consuming and causes error in the quality evaluation. In order to reduce the time consumption and errors in the quality evaluation, in this research work, a simple loudspeaker diagnosing system is developed based on the harmonic distortion. The faulty and normal loudspeakers are tested...
In this paper, a simple method for crack identification in steel plates based on frame energy based discrete cosine transformation (DCT) is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of the steel plate. The plate is excited by an impulse signal and made to vibrate. Energy based DCT features are then extracted from the vibration signals...
Traditionally, loudspeaker's quality control has been done manually and inspection of loudspeaker faults is time consuming and causes error in the quality evaluation. In order to reduce the time consumption and errors in the quality evaluation, in this research work, a simple loudspeaker diagnosing system is developed based on the harmonic distortion. The faulty and normal loudspeakers are tested...
The computation of a mobile robot position and orientation is a common task in the area of computer vision and image processing. For a successful application, it is important that the position and orientation of a mobile robot must be determined properly. In this paper, a simple procedure for determining the orientation of a mobile robot using two cameras is presented. The two cameras are used to...
Monitoring systems for motorbike industry requires high and efficient degree of performance. In recent years, automatic identification and diagnosis of motorbike engine faults has become a very complex and critical task. The noise produced by a motorbike engine is an important information source of fault diagnosis. Artificial Neural Network finds applications in many industries including condition...
The purpose of this paper is to present the development of a system capable of detecting incipient malfunction and also verify the correct operation of opening and closing of high voltage switches thru digital analysis of the torque curve supplied by the drive engine during the maneuvers of the switch, surpassing the difficulties involved with the direct monitoring of the contacts. This system will...
Power transformers are one of the most used and expensive equipments in many substations of electric energy. This fact justifies the application of predictive techniques of diagnosis, with the objective to minimize possible failures and to increase the trustworthiness of the system. Amongst these techniques, one of the most distinguished are the analysis of gases dissolved in the oil (gaseous chromatography)...
In modern control theory, a system is modeled as a functional block that receives an input and produces a corresponding output that is based on the internal states of the system. However, the internal states are generally not directly accessible to due to high costs and physical limitations; hence they are estimated from an observer. The states observer is a mathematical model that estimates the unavailable...
Artificial neural networks (ANN) and support vector machine (SVM) modeling offer promise in the analysis of genotype-phenotype correlation in genetic association studies. In particular, we are interested in studying single nucleotide polymorphisms (SNPs) as genetic markers as predictors of a dichotomous disease outcome. The problem we are investigating is that of gene-gene and gene-environment interactions...
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