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The emergence of various vision-based applications has led researchers to do research on human action recognition. Good feature extraction technique is one of the important factors in making an efficient action recognition system. In this work, we propose a technique which we called `pentagon profile' to represent the image for the human action interpretation task. This profile is generated by connecting...
In surveillance systems, low bit rate video coding is necessary to reduce the storage and bandwidth consumption, especially for high definition video coding. In [1], we proposed an adaptive coding method to code the active regions with traditional slices and background with the proposed S slice respectively. The S slice contains less syntax elements than the conventional P slice. This paper further...
The landslide is considered as one of the worst natural disaster that continuously affecting many tropical countries, especially during the monsoon season. Landslides bring destructiveness and various losses to the human living. For the past 25 years, many rainfall induced landslides have occurred throughout our country that strikes the citizens, especially near the hillside areas whereby several...
This paper is to investigate the best PID control structure for controlling the glycerin bleaching process that would improve the bleached glycerin quality. An ideal and alternative PID control structures is analyzed. The controller parameters are adjusted based on Wang's tuning method and compared to Ziegler-Nichols method. The system performance is evaluated in terms of settling time and percent...
Recently, Template matching approach has been widely used to locate faces with various pose, illumination and clutter background. Normalized Cross-correlation (NCC) is an effective and simple measurement method to compute the similarity matching between the stored faces templates and the rectangular blocks of the input image to locate the face position. However, localization error occurs very often...
This paper describes the evaluation of the spreading factor inertia weight Particle Swarm Optimization (PSO) for the fuzzy logic control (FLC) of FES-assisted paraplegic indoor rowing exercise (FES-rowing). The FES-rowing is introduced as a total body exercise for rehabilitation of lower extremities through the application of functional electrical stimulation (FES). FLC is used to control the knee...
Turbo code and Low Density Parity Check (LDPC) code are both recommended as FEC code in many communication standards owing to their impressive error correcting performance. Aiming at the common architecture which can decode both of the two codes, this paper describes the method of decoding turbo codes with message passing algorithm which is conventionally used for LDPC codes. In this method, turbo...
Motion Estimation is the most complex part in H.264 encoder which takes more than 90% time in baseline profile while making test encoding using JM15.1. In the motion estimation stage, macro block cost calculation is very important for motion vector prediction and bit stream estimation. As a new characteristic introduced in H.264, Fractional ME is an essential part for improving encoder efficiency...
Currently, the price of digital camera is decreasing and many users afford to purchase it. The digital camera can be used for many applications. The digital camera can also be used for accurate measurement such as determination of three dimensional (3D) coordinates, production of accurate measurement and generation of 3D model of objects. However, the digital camera need to be calibrated to obtain...
The process of grading Malaysia Pepper berries are still semi-automatic. One of the grading criteria is based on the extraneous and foreign matters that exist in pepper berries samples. Therefore, in this paper we propose image processing techniques to identify the foreign matter. We analyse the number of foreign matters in the image and locate them using the xPepper Identification System. Our finding...
In this paper, a non-contact approach to roundness measurement using machine vision is proposed. A test-rig and computer algorithm are developed to realised the approach. The computer algorithm employs minimum zone circle MZC technique to measure the roundness deviation. High contrast and good quality image segmentation is produced with the developed image processing algorithm technique. Camshaft...
This paper discussed about a simple approach for implementing well-known PID controller in microcontroller for quadrotor project. This controller will be used for stabilizing the quadrotor while in flight. Towards to stabilize this type of air craft, sensors must be used as the feedback for PID controller. A new method in sensor fusion and inclination angle estimation is discussed in this paper. A...
This paper describes the process of designing a GUI (Graphical user interface) for a remotely operated quadrotor UAV. In the process of building this quadrotor project, SolidWork 2009 software was used to develop the prototype before the actual model is made. An IMU sensor is used to measure the orientation of the quadrotor which is processed by a microcontroller to indicate the current orientation...
Image identification of plant leaves based on human vision is difficult task as well as plant identification based on keywords retrieval. It requires the domain knowledge in the botanist field. This work proposes the image texture analysis using Discrete Wavelet Transformation (DWT) and combined with an entropy measurement to identify a query image to one of seven classes that consists of 280 plant...
This paper is presented the observation of noise intervention into acoustic emission (AE) signal on reinforced concrete beam based on data recorded in the AEWin software at different pre-set thresholds manually. Two kinds of sources were selected; namely in-plane source and out-plane source. The correlation between threshold levels and number of hits has been observed. It can be concluded that for...
There are different methods to interpolate a zoomed image such as nearest neighbor, bilinear, bicubic, adaptive interpolation and so on. These methods works on grayscale value of pixels so we name them pixel based methods. In this paper, we propose a line based method. In this method, an improved scheme of radon transform is used to convert image from dot domain into line domain. In the line domain,...
The infant cry signals with asphyxia have distinct patterns which can be recognized using pattern classifiers such as Artificial Neural Network (ANN). This study investigates the effect of selecting infant cry features using the Binary Particle Swarm Optimization on the performance of Multilayer Perceptron (MLP) classifier in discriminating between healthy and infants with asphyxia from cry signals...
Generally, non-linear predictive models should be superior to linear predictive models. The objective of this study is to compare the performance of soluble solid content (SSC) prediction via Artificial Neural Network with Principal Components (PCs-ANN) and Principal Component Regression (PCR) in Visible and Shortwave Near Infrared (VIS-SWNIR) (400 - 1000 nm) spectrum. The spectra of 116 Fuji Apple...
This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of images for human viewing. Removing blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. Reducing the noise and blurring and increasing...
In this paper, the implementation of Hybrid Multilayered Perceptron (HMLP) network with two different activation functions has been studied. The study was conducted for PC based system and hardware based system and was evaluated in classifying the cervical cells data into it classes. For the hardware based system, this system was implemented in the 8051 microcontroller system. The structure of the...
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