A best practice framework for web accessibility in South Africa
- Authors: Booyens, Ryno
- Date: 2018
- Subjects: World Wide Web , Web sites , Computer networks
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/493238 , uj:45078
- Description: Abstract: Please refer to full text to view abstract. , M.Sc. (Informatics)
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- Authors: Booyens, Ryno
- Date: 2018
- Subjects: World Wide Web , Web sites , Computer networks
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/493238 , uj:45078
- Description: Abstract: Please refer to full text to view abstract. , M.Sc. (Informatics)
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Performance of asymmetrically clipped optical OFDM and DC-biased optical OFDM based on fast Fourier transform/discrete Hartley transform for powerline communication-visible light communication systems under impulsive noise
- Authors: Mapfumo, Irvine
- Date: 2020
- Subjects: Electric lines - Carrier transmission , Signal processing - Digital techniques , Wireless communication systems , Computer networks
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/480256 , uj:43468
- Description: Abstract: Hybrid PLC-VLC systems have generated a lot of research attention lately due to high data speeds and low implementation costs they offer. Owing to the increased number of devices connected to the internet, there has been an abrupt rise of data congestion in the RF spectrum, hence there is need to relieve it to allow high speed data communication access. Research output has provided evidence that PLC and VLC technologies can be integrated successfully to provide an alternate and cost-effective solution to relieve the RF spectrum... , M.Ing. (Electrical and Electronic Engineering Science)
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- Authors: Mapfumo, Irvine
- Date: 2020
- Subjects: Electric lines - Carrier transmission , Signal processing - Digital techniques , Wireless communication systems , Computer networks
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/480256 , uj:43468
- Description: Abstract: Hybrid PLC-VLC systems have generated a lot of research attention lately due to high data speeds and low implementation costs they offer. Owing to the increased number of devices connected to the internet, there has been an abrupt rise of data congestion in the RF spectrum, hence there is need to relieve it to allow high speed data communication access. Research output has provided evidence that PLC and VLC technologies can be integrated successfully to provide an alternate and cost-effective solution to relieve the RF spectrum... , M.Ing. (Electrical and Electronic Engineering Science)
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Revisiting the society of mind : convolutional neural networks via multi-agent systems
- Authors: Cullinan, Michéle Narda
- Date: 2018
- Subjects: Neural networks (Computer science) , Computer networks
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/292562 , uj:31795
- Description: Abstract: Multi-core processors, cheaper computer networks and the data deluge from the internet allow larger and better models to be built using Deep Learning architectures. Distributed Artificial Intelligence with agent-based programming is a paradigm for constructing such models. Many Neural Networks are implemented in a single thread of control, negating their benefits. An actor-oriented approach leverages the inherent parallelism of such architectures. The relationship between object-oriented and multi-agent paradigms is discussed in this dissertation. In addition, constraints on concurrency are discussed with reference to implementing such systems via the Actor Model in the form of the Akka toolkit. The proposed actor model is applied to a Supervised Learning classification problem using Convolutional Neural Networks. Since the architecture of a Convolutional Network allows computations to be parallelised, it is suited to the concurrent and distributed programming paradigm. Performance and accuracy of the model is evaluated using Receiver Operating Characteristic (ROC) curve analysis, confusion matrices and cost function plots. Performance of the model is compared and evaluated next to existing implementations of Convolutional Neural Networks using confidence intervals of model statistics and hypothesis testing. , M.Sc.
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- Authors: Cullinan, Michéle Narda
- Date: 2018
- Subjects: Neural networks (Computer science) , Computer networks
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/292562 , uj:31795
- Description: Abstract: Multi-core processors, cheaper computer networks and the data deluge from the internet allow larger and better models to be built using Deep Learning architectures. Distributed Artificial Intelligence with agent-based programming is a paradigm for constructing such models. Many Neural Networks are implemented in a single thread of control, negating their benefits. An actor-oriented approach leverages the inherent parallelism of such architectures. The relationship between object-oriented and multi-agent paradigms is discussed in this dissertation. In addition, constraints on concurrency are discussed with reference to implementing such systems via the Actor Model in the form of the Akka toolkit. The proposed actor model is applied to a Supervised Learning classification problem using Convolutional Neural Networks. Since the architecture of a Convolutional Network allows computations to be parallelised, it is suited to the concurrent and distributed programming paradigm. Performance and accuracy of the model is evaluated using Receiver Operating Characteristic (ROC) curve analysis, confusion matrices and cost function plots. Performance of the model is compared and evaluated next to existing implementations of Convolutional Neural Networks using confidence intervals of model statistics and hypothesis testing. , M.Sc.
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