Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Adaptive filters (2)
- Adaptive signal processing (2)
- Algorithms (2)
- Bluetooth technology (2)
- Video compression (2)
-
- Wireless communication systems (2)
- Amplitude modulation (1)
- Asynchronous transfer mode (1)
- Cadmium sulfide (1)
- Data transmission systems. (1)
- Demodulation (Electronics) (1)
- Electronic computers (1)
- Embedded computer systems. (1)
- Image processing -- Digital techniques (1)
- Mathematics (1)
- Mobile communication systems (1)
- Modulators (Electronics) (1)
- Multimedia systems (1)
- Multiplexing (1)
- Parallel processing (1)
- Polycrystals (1)
- Signal processing -- Digital techniques (1)
- Thin film devices (1)
- Thin films (1)
- Transformations (Mathematics) (1)
- Wavelets (1)
- Wavelets (Mathematics) (1)
- Publication Type
Articles 1 - 19 of 19
Full-Text Articles in Engineering
Application Of Shunting Inhibitory Artificial Neural Networks To Medical Diagnosis, Ganesh Arulampalam, Abdesselam Bouzerdoum
Application Of Shunting Inhibitory Artificial Neural Networks To Medical Diagnosis, Ganesh Arulampalam, Abdesselam Bouzerdoum
Research outputs pre 2011
Shunting inhibitory artificial neural networks (SIANNs) are biologically inspired networks in which the neurons interact among each other via a nonlinear mechanism called shunting inhibition. Since they are high-order networks, SIANNs are capable of producing complex, nonlinear decision boundaries. In this article, feedforward SIANNs are applied to several medical diagnosis problems and the results are compared with those obtained using multilayer perceptrons (MLPs). First, the structure of feedforward SIANNs is presented. Then, these networks are applied to some standard medical classification problems, namely the Pima Indians diabetes and Wisconsin breast cancer classification problems. The SIANN performance compares favourably with that …
Knowledge-Based Genetic Algorithm For Layer Assignment, Maolin Tang, Kamran Eshraghian, Daryoush Habibi
Knowledge-Based Genetic Algorithm For Layer Assignment, Maolin Tang, Kamran Eshraghian, Daryoush Habibi
Research outputs pre 2011
Layer assignment is an important post-layout optimization technique in very large scale integrated circuit (VLSI) layout automation. It re-assigns wire segments in a routing solution to appropriate layers to achieve certain optimization objectives. The paper focuses on investigating the layer assignment problem with application to via minimization, which is known to be NP-complete. A knowledge based genetic algorithm for the layer assignment problem is proposed, with the aim of utilizing domain specific knowledge to speed up the process of evolution and to improve the quality of solutions. Experimental results show that this knowledge based genetic algorithm can consistently produce the …
A Wide Dynamic Range Cmos Imager With Extended Shunting Inhibition Image Processing Capabilities, Farid Boussaid, Amine Bermak, Abdesselam Bouzerdoum
A Wide Dynamic Range Cmos Imager With Extended Shunting Inhibition Image Processing Capabilities, Farid Boussaid, Amine Bermak, Abdesselam Bouzerdoum
Research outputs pre 2011
A CMOS imager based on a novel mixed-mode VLSI implementation of biologically inspired shunting inhibition vision models is presented. It can achieve a wide range of image processing tasks such as image enhancement or edge detection via a programmable shunting inhibition processor. Its most important feature is a gain control mechanism allowing local and global adaptation to the mean input light intensity. This feature is shown to be very suitable for wide dynamic range imagers
Skin Color Detection For Face Localization In Human-Machine Communications, Douglas Chai, Son Lam Phung, Abdesselam Bouzerdoum
Skin Color Detection For Face Localization In Human-Machine Communications, Douglas Chai, Son Lam Phung, Abdesselam Bouzerdoum
Research outputs pre 2011
This paper presents the proposed user interface design for computers whereby users can navigate in a 3D graphics scene and change camera viewpoint via head movement. This human-machine communication relies very much on the performance of its face localization module, which must determine head pose and track head movement. We have employed the skin color detection approach to face localization. The approach is studied and presented. The experimental results show that our chosen methodology is very effective. Furthermore, we demonstrate that skin color detection approach can cope with the variations of skin color and lighting conditions
An Intelligent Imaging Approach To The Identification Of Forensic Ballistics Specimens, Clifton L. Smith
An Intelligent Imaging Approach To The Identification Of Forensic Ballistics Specimens, Clifton L. Smith
Research outputs pre 2011
The characteristic markings on the cartridge and projectile of a bullet fired from a gun can be recognised as a "fingerprint" for identification of the firearm. Over thirty different features can be distinguished. The intelligent imaging of the class characteristics of ballistics specimens will provide the potential to identify the make and model of the firearm. Precise measurement of features allow ballistics metrics to be obtained for the identification of the weapon. This paper will describe progress in the development of a multidimensional cluster analysis model for forensic ballistics specimens. The cluster analysis will provide classification that is based on …
Classification Of Bandlimited Fsk4 And Fsk8 Signals, Visalakshi Ramakonar, Daryoush Habibi, Abdesselam Bouzerdoum
Classification Of Bandlimited Fsk4 And Fsk8 Signals, Visalakshi Ramakonar, Daryoush Habibi, Abdesselam Bouzerdoum
Research outputs pre 2011
This paper compares two types of classifiers applied to bandlimited FSK4 and FSK8 signals. The first classifier employs the decision-theoretic approach and the second classifier is a neural network structure. Key features are extracted using a zero crossing sampler. A novel decision tree is proposed and optimum threshold values are found for the decision theoretic approach. For the neural network, the optimum structure is found to be the smallest structure to give 100% overall success rate. The performance of the both classifiers has been evaluated by simulating bandlimited FSK4 and FSK8 signals corrupted by Gaussian noise. It is shown that …
Skin Colour Based Face Detection, Son Lam Phung, Douglas K. Chai, Abdesselam Bouzerdoum
Skin Colour Based Face Detection, Son Lam Phung, Douglas K. Chai, Abdesselam Bouzerdoum
Research outputs pre 2011
This paper describes a new approach to face detection. A colour input image is first processed using neural networks to detect skin regions in the image. Each neural network separates skin and non-skin pixels on the basis of chrominance information. The skin-colour classifier employs the committee machine technique, which improves skin colour detection by combining the classification results of a set of multilayer perceptrons (MLPs). The skin colour classifier achieves a classification rate of 84% compared to 81% for the best individual MLP classifier. The output of the committee machine is processed by a 2D smoothing filter before being converted …
Image Compression Using A Stochastic Competitive Learning Algorithm (Scola), Abdesselam Bouzerdoum
Image Compression Using A Stochastic Competitive Learning Algorithm (Scola), Abdesselam Bouzerdoum
Research outputs pre 2011
We introduce a new stochastic competitive learning algorithm (SCoLA) and apply it to vector quantization for image compression. In competitive learning, the training process involves presenting, simultaneously, an input vector to each of the competing neurons, which then compare the input vector to their own weight vectors and one of them is declared the winner based on some deterministic distortion measure. Here a stochastic criterion is used for selecting the winning neuron, whose weights are then updated to become more like the input vector. The performance of the new algorithm is compared to that of frequency-sensitive competitive learning (FSCL); it …
A Compact Multi-Chip-Module Implementation Of A Multi-Precision Neural Network Classifier, Amine Bermak, Dominique Martinez
A Compact Multi-Chip-Module Implementation Of A Multi-Precision Neural Network Classifier, Amine Bermak, Dominique Martinez
Research outputs pre 2011
This paper describes a novel MCM digital implementation of a reconfigurable multi-precision neural network classifier. The design is based on a scalable systolic architecture with a user defined topology and arithmetic precision of the neural network. Indeed, the MCM integrates 64/32/16 neurons with a corresponding accuracy of 4/8/16-bits. A prototype has been designed and successfully tested in CMOS 0.7 μm technology
Novel Image Enhancement Technique Using Shunting Inhibitory Cellular Neural Networks, Tarik Hammadou, Abdesselam Bouzerdoum
Novel Image Enhancement Technique Using Shunting Inhibitory Cellular Neural Networks, Tarik Hammadou, Abdesselam Bouzerdoum
Research outputs pre 2011
This paper describes a method for improving image quality in a color CMOS image sensor. The technique simultaneously acts to compress the dynamic range, reorganize the signal to improve visibility, suppress noise, identify local features, achieve color constancy, and lightness rendition. An efficient hardware architecture and a rigorous analysis of the different modules are presented to achieve high quality CMOS digital cameras
Indoor Radio Channel Of Bluetooth Technology, Kai Hock Charlie Khoo
Indoor Radio Channel Of Bluetooth Technology, Kai Hock Charlie Khoo
Theses : Honours
This thesis discusses the findings of the final year project involving the characterisation of indoor radio channel specified by Bluetooth technology through theoretical analysis, simulations and actual measurements through field experiments. The concepts of indoor radio propagation effects and its statistical models arc explored. In addition, Bluetooth specifications are also studied and presented in Section 1. These provided a clear understanding of the radio propagation behaviour inside a building and the radio performance of Bluetooth specifications. Profound understanding of the propagation characteristics of the indoor radio channel is a major requirement for successful design of any indoor wireless communication systems. …
A Cable/Wireless Modulation/Demodulation Frontend Module For High Speed/Broadband Datalink, Pay Peng Clarice Chong
A Cable/Wireless Modulation/Demodulation Frontend Module For High Speed/Broadband Datalink, Pay Peng Clarice Chong
Theses : Honours
What are the modulation/demodulation schemes that are suitable tor cable or wireless high speed or broadband data link, between 1 Mbps to 30 Mbps? The recent adoption of modulation schemes such as OFDM, 8-VSB, OAM, for Digital Television broadcast (DTV), Asymmetrical Digital Subscriber Lines (ADSL), and Cable Modem (CM) for Internet access, is poss'1ble because of the increase bit/Hz in these modulations over conventional modulation schemes. These modulation/demodulation schemes could also offer similar advantages to dedicated data link applications such as home-networking using cable or wireless medium. This report document the project implementation of Quadrature Amplitude Modulation as the modulation …
Adaptive Notch Filter For Single And Multiple Narrow-Band Interference, Choy Chun Sin
Adaptive Notch Filter For Single And Multiple Narrow-Band Interference, Choy Chun Sin
Theses : Honours
In this project, the adaptive notch filter for single and Multiple narrow-band interference is implemented using simplified LMS algorithm. Performances of the LMS adaptive algorithms is evaluated and analysed through simulation on the computer using Matlab. The algorithm are then written in C programme and implemented using Texas Instrument Tool which consist of TMS320C54x EMV board and Code Composer Studio.
Bluetooth Software On Linux, Wireless Hand-Held Devices, Teck Khoon Low
Bluetooth Software On Linux, Wireless Hand-Held Devices, Teck Khoon Low
Theses : Honours
In order to enable existing computers (non-Bluetooth ready) to connect to a Bluetooth piconet, a Bluetooth hardware device comprising of the Radio antenna, the baseband and control circuit is used. The digital portion of this device is also known as a Host Controller, HC. In the traditional communication lingo, the Bluetooth Hardware functions, as the Data Communication Equipment (DCE) while the Host is the Data terminal Equipment (DTE). This report discusses the theory and implementation of the communication protocol between the Host and the Host Controller, enabling communication between the computer and the Bluetooth hardware
Investigation And Characterisation Of Growth Phases Of Polycrystalline Cadmium Sulfide Thin Films Produced By The Chemical Bath Deposition Method, Peter Duncan
Theses : Honours
This research project investigates the characterisation and morphology of the growth phases of polycrystalline CdS thin films that were created using the Chemical Bath Deposition (CBD) method. One batch of CdS thin films was created by the author (group B) whilst another batch (group A) was obtained from a previous research project. In both cases, the experiments were designed such that successive slides in a set represent successive phases in the growth of these CdS thin films. Therefor analysis of the near surface for all slides in a set gave an accurate representation of conditions on the surface at the …
Adaptive Notch Filter For Single And Multiple Narrow-Band Interference, Selina Kuek Lin Mei
Adaptive Notch Filter For Single And Multiple Narrow-Band Interference, Selina Kuek Lin Mei
Theses : Honours
In this project, the adaptive notch filter for single and Multiple narrow-band interference is implemented using simplified LMS algorithm. Performances of the LMS adaptive algorithms is evaluated and analysed through simulation on the computer using Matlab. The algorithm are then written in C programme and implemented using Texas Instrument Tool which consist of TMS320C54x EMV board and Code Composer Studio.
Video Compression Using Wavelets And Hierarchical Motion Estimation, Andrew Peter Byrne
Video Compression Using Wavelets And Hierarchical Motion Estimation, Andrew Peter Byrne
Theses : Honours
This thesis investigates the benefits and the significant compression that can be obtained from data that has been decomposed using a wavelet transform. A video compression algorithm was developed that employs the wavelet transform and a hierarchical motion estimation algorithm which itself utilises benefits of the wavelet transform. Using MATLAB, a popular software tool for matrix based computation and analysis, several functions were developed which together formed the video compression algorithm. A variety of tests were conducted on a sample video sequence to ascertain the strengths and weaknesses of the techniques employed. The results, although not the same as the …
Statistical Multiplexing And Connection Admission Control In Atm Networks, Guoqiang Mao
Statistical Multiplexing And Connection Admission Control In Atm Networks, Guoqiang Mao
Theses: Doctorates and Masters
Asynchronous Transfer Mode (ATM) technology is widely employed for the transport of network traffic, and has the potential to be the base technology for the next generation of global communications. Connection Admission Control (CAC) is the effective traffic control mechanism which is necessary in ATM networks in order to avoid possible congestion at each network node and to achieve the Quality-of-Service (QoS) requested by each connection. CAC determines whether or not the network should accept a new connection. A new connection will only be accepted if the network has sufficient resources to meet its QoS requirements without affecting the QoS …
Vlsi Implementation Of A Massively Parallel Wavelet Based Zerotree Coder For The Intelligent Pixel Array, Geoffrey N. Alagoda
Vlsi Implementation Of A Massively Parallel Wavelet Based Zerotree Coder For The Intelligent Pixel Array, Geoffrey N. Alagoda
Theses: Doctorates and Masters
In the span of a few years, mobile multimedia communication has rapidly become a significant area of research and development constantly challenging boundaries on a variety of technologic fronts. Mobile video communications in particular encompasses a number of technical hurdles that generally steer technological advancements towards devices that are low in complexity, low in power usage yet perform the given task efficiently. Devices of this nature have been made available through the use of massively parallel processing arrays such as the Intelligent Pixel Processing Array. The Intelligent Pixel Processing array is a novel concept that integrates a parallel image capture …