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This paper proposes a method study and development induction heating system using low energy the method was designed system by haft-bridge inverter circuit to the direct load of LC series resonant. The half-bridge inverter had been generating frequency on 47kHz and adjustable a pulse width modulation (PWM) which program by microcontroller power supply full-bridge 50 volt and overload current sensor...
This paper presents the achievement of determine the chlorophyll using image processing technique. The rice leaf is used to investigate in the experiment in order to chlorophyll directly affects to the rice product. The Linear Regression technique in image processing technique is used to determine the chlorophyll and then compares with the chlorophyll meter. There are 45 rice leafs, which are selected...
This research is conducted for the development of overtaking analysis system to gain higher efficiency. This assistance system is developed with the drivers' safety decision when overtaking on a two-lane highway while driving during night-time.This paper was developed considering the headlight by using the principle of Blob Analysis [1], DOF theory[2], identifies the distance with perspective technique[3]...
BGA (Ball Grid Array) is one type of integrated circuit (IC) has been used in electronics assembly. To inspect the BGA quality, it normally used the X-ray image for detection BGA defects. Most of research in the field of BGA quality detection can be detected short circuit, big ball and small ball. This work presents the new image processing technique to detect all cases above and also detect the void...
This paper proposes the adjusted Levenberg-Marquardt(LM) technique to improve the performance of speech recognition. Number of difference neuron in hidden layer has been trialed in verities input speech signal which generated from 40 speakers: 20 males and 20 females. The results show that the system provides difference values of the accuracy percentage depending on the number of neuron in hidden...
Speech signal is the continuous signal which has the characteristics in its own. For recognizing the speech signal, the system must be able to classify and recognize the speech feature. Almost of this system is speaker-independent speech system. This paper presents statistical methods for speech recognition by extracting the features of the speech and analyzing their trajectory. The speech feature...
Speech signal is the continuous signal which has the characteristics in its own. For recognizing the speech signal, the system must be able to classify and recognize the speech feature. Almost of this system is speaker-independent speech system. This paper presents statistical methods for speech recognition by extracting the features of the speech and analyzing their trajectory. The speech feature...
A major research of the climb stair small humanoid robot is to make a robot can climb stair with itself. To climb stair, the robot needs to find the environment information. This paper presents the new technique for climb stair robot using image processing technique and also reduces the time processing. The experiment had been used a single camera fix at 60 cm height on the top of robot. The robot...
Partitioning video sequence is very important for video applications such as video indexing, retrieval or editing. A lot of techniques have been presented based on information such as structures of the image, image histogram and intensity statistics etc. The histogram-based technique is generally used due to computation complexity when compare with other techniques is less, and most of image processing...
This paper presents an enhancement technique to compress speech signal based on LPC-10 model. Line spectrum pairs (LSP), as alternate representation of LPC presents some useful properties for quantisation and transmission, is used to model the speech signal in each frame. Artificial Neural Networks, based on a finite state vector quantizer technique, is investigates the characteristic of LSP coefficients...
There are different optimisation criteria in the design of speech compression algorithms and in development speech coding system. Linear predictive coder (LPC) parameters are widely used in a various speech coding method. Line spectrum pairs (LSP), as alternate representation of LPC presents some useful properties for quantisation and transmission. This work investigates and proposes an efficient...
An artificial neural networks (ANNs) is the intelligent system which has been recently exploited in linear and non-linear system such as image and speech processing. In this work, there are two types of neural networks, namely Kohonen self organizing feature maps (KSOFM) and probabilistic neural networks (PNNs), which are investigated to use in CELP speech coding system. KSOFM is used to classify...
Many coding techniques have been proposed for the compression of speech signals. Speech signals are continuous signals shaped by the movement of the vocal tract. Linear predictive coefficients (LPC) and line spectral pairs (LSP) coefficients have been used to model the position of the vocal tract. Each speaker's vocal tract uses a unique, finite set of positions to generate their voice. This paper...
Clustering algorithms are used in data compression or coding to classify data into groups with similar properties. This paper studies a new clustering technique aimed at enhancing the performance of the cluster process to provide more accuracy and also endeavours to use as few cluster centres as possible to represent the data group. Two clustering methods are studied here and applied to the speech...
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