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An Overview of the Integration of Problem Based Learning into an existing Computer Science Programming Module (2004)

O'Kelly, Jackie; Mooney, Aidan; Bergin, Susan; Gaughran, Peter; Ghent, John

An Overview of the Integration of Problem Based Learning into an existing Computer Science Programming Module (2004)

O'Kelly, Jackie; Mooney, Aidan; Bergin, Susan; Gaughran, Peter; Ghent, John

Abstract:

In this paper we present an overview of the use of Problem Based Learning (PBL) in a first year Computer Science programming module.PBL was not employed in any of the programmong modules within the Department of Computer Science and assessment and learning for this module was on an individual student basis. We outline the problems that we encountered with our previous approach for teaching this module and our rationale for enhancing our approach through PBL.

http://mural.maynoothuniversity.ie/726/

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Digital Risk Management and Data Protection (2014)

Ghent, John

Digital Risk Management and Data Protection (2014)

Ghent, John

Abstract:

IVI is researching the precise issues that increased use of technology is creating for businesses. As legislation grows, it is attempting to force organizations to measure and minimize the inherent risk. Data protection (data privacy) is a key focus which includes information security but much more. In this executive briefing we consider the issues around the development of a new DP capability and provide guidance to organizations that are attempting to measure and improve their capability to be compliant and manage risk.

http://mural.maynoothuniversity.ie/6392/

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Facial Expression Classification using Kernel Principal Component Analysis and Support Vector Machines (2006)

Ghent, John; Reilly, J.; McDonald, John

Facial Expression Classification using Kernel Principal Component Analysis and Support Vector Machines (2006)

Ghent, John; Reilly, J.; McDonald, John

Abstract:

This paper details a novel procedure for accurately classifying lower facial expres- sions. A shape model is developed based on an anatomical analysis of facial expression called the Facial Action Coding System (FACS). This model analyzes the movement in shape due to the formation of a specific expression. We apply Kernel Principal Compo- nent Analysis (KPCA) to the shapes in the training set and classify new unseen expressions by using Support Vector Machines (SVMs). We further analyse our model by attaching a probability measure to the outputs.

http://mural.maynoothuniversity.ie/8302/

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Facial expression synthesis using a statistical model of appearance (2004)

Ghent, John; McDonald, John

Facial expression synthesis using a statistical model of appearance (2004)

Ghent, John; McDonald, John

Abstract:

This paper details a procedure for generating a mapping function which maps an image of a neutral face to one depicting a smile. This is achieved by the computation of the Facial Expression Shape Model (FESM) and the Facial Expression Texture Model (FETM). These are statistical models of facial expression based on anatomical analysis of facial expression called the Facial Action Coding System (FACS). The FEAM and the FETM allow for the generation of a subject independent mapping function. These models provide a robust means for upholding the rules of the FACS and are flexible enough to describe subjects that are not present during the training phase. We use these models in conjunction with several Artif icial Neural Networks (ANN) to generate photo-realistic images of facial expressions.

http://mural.maynoothuniversity.ie/8306/

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Generating a Mapping Function from One Expression to Another Using a Statistical Model of Facial Texture (2003)

Ghent, John; McDonald, John

Generating a Mapping Function from One Expression to Another Using a Statistical Model of Facial Texture (2003)

Ghent, John; McDonald, John

Abstract:

We demonstrate a novel method of generating a mapping function which takes an image of a neutral face to an image of the same subject depicting an alternative expression. It is proposed that this mapping function can be used to automatically generate facial expressions from still images of never seen before faces. This technique draws on the work of Ekman's [8] Facial Action Coding System (FACS), which provides an anatomical basis for measuring facial movement. We use the FACS to generate a Facial Expression Texture Model (FETM), which is used in conjunction with several Artificial Neural Networks (ANN) to develop a mapping function. We describe this method in detail and provide results which demonstrate the effectiveness of this technique.

http://mural.maynoothuniversity.ie/8266/

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Initial findings on the impact of an alternative approach to Problem Based Learning in Conputer Science (2004)

O'Kelly, Jackie; Bergin, Susan; Dunne, S.; Gaughran, Peter; Ghent, John; Mooney, A...

Initial findings on the impact of an alternative approach to Problem Based Learning in Conputer Science (2004)

O'Kelly, Jackie; Bergin, Susan; Dunne, S.; Gaughran, Peter; Ghent, John; Mooney, Aidan

Abstract:

A student on a programming module needs to know how to solve problems, design and test programs, learn the Syntax of a programming language and possess good communication skills. We had previously identified that the reason why students experience problems with programming is due to their poor problem solving ability. To attempt to alleviate these problems we integrated an alternative PBL approach into the programmong module [1].In this paper we provide an analysis of the impact of our changes based upon qualitative and quantitative data gathered from interviewing and surveying all parties involved in the PBL process, notably lecturers in their capacity as module coordinator and problem creator, tutors in their capacity as facilitators of PBL workshops and students, including mature students, foreign students and repeat students. In addition, Qualitative data gathered from the problem refinement process is presented. We believe that this research will be of particular interest to an...

http://mural.maynoothuniversity.ie/727/

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Investigating the Dynamics of Facial Expression (2006)