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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
The next generation of robots are going to work much more closely with humans, other robots and interact significantly with the environment around it. As a result, the key paradigms are shifting from isolated decision making systems to one that involves shared control — with significant autonomy devolved to the robot platform; and end-users in the loop making only high level decisions. This talk will...
Data classification is a well studied area with various techniques such as support vector machines, decision trees, neural networks and evolutionary algorithms, amongst others successfully applied to this domain. The research presented in this paper forms part of an initiative aimed at evaluating grammatical evolution, a recent variation of genetic programming, for data classification. The paper reports...
Sepedi (Southern Bantu, S30) does not have grammaticalized focus prosody due to which focused constituents are unambiguously marked by prosodic prominence in one way or another. Nevertheless, prosodic traces of emphasis might still exist. The paper reports on a study that investigates acoustic traces of emphasis in Sepedi and their role for processing. An auditory analysis of sentences uttered in...
This paper discusses the practical implementation of a flatness based control for a flexible joint robot arm. Using differential flatness theory, reference trajectories are generated for a flexible joint robot and then a tracking controller is implemented. The vibrations experienced by the robot arm are sufficiently damped and nonminimum phase behaviour is eliminated. The control shows fast transcient...
The increasing prevalence of Social Media platform use has brought with it an explosion of new user generated public data. This data is centered around many, diverse topics. One theme of interest is how one can tap into the public safety and crime related user generated data to better understand patterns in the occurrence of crime incidents. One challenge in such data is that most of the data needs...
This paper presents the improvement of an Automated Guided Cart (AGC) used for material handling at the General Motors South Africa (GMSA) assembly plant in Struandale near Port Elizabeth. The main objective was to ensure a low-cost solution while still being able to perform the desired requirements of an AGC effectively. New DC brushed motors were incorporated into from the design which included...
The use of micro expressions as a means to understand ones state of mind has received major interest owing to the rapid increase in security threats. The subtle changes that occur on ones face reveals one's hidden intentions. Recognition of these subtle intentions by humans can be challenging as this needs well trained people and is always a time consuming task. Automatic recognition of micro expressions...
We present the application of statistical classifiers to the problem of automatic identification of radio frequency interference (RFI) in radio astronomy. RFI can corrupt measurements made by radio telescopes and it is therefore very important that such interference can be identified. We compile a dataset of RFI signals gathered at the SKA site near Carnavon, South Africa, and use this data to train...
With the drive to reduce carbon emissions, the use of renewable energy such as wind power, solar power, hydropower and biofuel has become more prevalent globally. In the case of wind farms, the power generated by wind turbines is highly correlated to wind speed and direction. As a consequence, considerable research is currently being performed to accurately predict wind speed and direction ahead of...
SatSim was developed to provide a low cost, easy to learn, network simulator for simulating satellite networks. SatSim is unique in that it accurately accounts for orbital movement of satellites on a discrete per packet basis that heavily affects communication link quality. SatSim can be seen as a special case of a typical network simulator, developed for networks that require physical node movement...
Optical Character Recognition (OCR) is an essential technology in the digitisation of printed media. Many OCR engines are language-specific and available for common languages such as English and other European languages, but less so for smaller languages such as Tshivenda and the other South African languages. In this paper, we describe the process of training OCR engines for South African languages...
Digital image processing (DIP) and computational photography are ever growing fields with new focuses on coded aperture imaging and its real world applications. Traditional coded aperture imaging systems consisted of statically coded masks that were designed and constructed from cardboard or other opaque materials and could not be altered once their shape had been defined. This is undesirable as numerous...
Anomaly detection comprises the identification of observations which do not follow the expected patterns of the assumed data set. We attempt to simplify the problem of textual anomaly detection by constructing a Multinomial Naïve Bayes classifier and enhancing it with an augmented Expectation Maximization (EM) algorithm. By doing so, we utilize large amounts of unlabelled data and show how the EM...
Skin detection in computer vision is the basis of many novel human-computer interface applications. The goal of skin detection is to accurately highlight skin pixels in an input image, while discarding all non-skin pixels. This makes it possible to accurately locate regions pertaining to a user in an input frame. A number of approaches to skin detection have been proposed over a number of years, with...
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