Collaboration is essential for some types of research, and some agencies include collaboration am... more Collaboration is essential for some types of research, and some agencies include collaboration among the requirements for funding research projects. This makes it important to analyse collaborative research ties. Traditional methods to indicate the extent of collaboration between organizations use co-authorship data in citation databases. Publication data from these databases are not publicly available and can be expensive to access and so hyperlink data has been proposed as an alternative. This paper investigates whether using machine learning methods to filter page types can improve the extent to which hyperlink data can be used to indicate the extent of collaboration between universities. Structured information about research projects extracted from UK and EU funding agency websites, co-authored publications and academic links between universities were analysed to identify if there is any association between the number of hyperlinks connecting two universities, with and without m...
Considering the extremely low utilization of dedicated database servers and also reducing the har... more Considering the extremely low utilization of dedicated database servers and also reducing the hardware and operational cost associated with this model of database deployment, it is more reasonable to adopt a multi-tenant database (MTD). A MTD is a way of deploying a Database as a Service (DaaS). This is gaining momentum with significant increase in the number of organizations ready to take advantage of the technology. A multi-tenant database refers to a principle where a single instance of a Database Management System (DBMS) runs on a server, serving multiple clients organizations (tenants). This is a database which provides database support to a number of separate and distinct groups of users or tenants. This technology amortises the total cost of ownership (TCO) thereby leading to reduction in per-tenant cost by increasing the scale. This paper considers the requirements and challenges of implementing MTDs. Several factors that influence the adoption of MTDs are identified. In thi...
ABSTRACT In this work, we extend the Microblog dataset with subjectivity annotations. Our aim is ... more ABSTRACT In this work, we extend the Microblog dataset with subjectivity annotations. Our aim is twofold; first, we want to provide a high-quality, multiply-annotated gold standard of subjectivity annotations for the relevance assessments of the real-time adhoc task. Second, we randomly sample the rest of the dataset and annotate it for subjectivity once, in order to create a complementary annotated dataset that is at least an order of magnitude larger than the gold standard. As a result we have 2,389 tweets that have been annotated by multiple humans and 75,761 tweets that have been annotated by one annotator. We discuss issues like inter-annotator agreement, the time that it took annotators to classify tweets in correlation to their subjective content and lastly, the distribution of subjective tweets in relation to topic categorization. The annotated datasets and all relevant anonymised information are freely available for research purposes.
This chapter analyzes patterns in messages posted to several Internet discussion forums from the ... more This chapter analyzes patterns in messages posted to several Internet discussion forums from the perspective of the sentiment expressed in them and the collective character of observed emotions. A large set of records describing comments expressed in diverse cyber communities—blogs, forums, IRC channels, and the Digg community—was collected, and sentiment classifiers were used to estimate the emotional valence (positive, negative, or neutral) of each message. A comparison with simple models showed that the data included clusters of comments with the same emotional valence that were much longer than similar clusters created by a random process. This shows that there are emotional interactions between participants so that future posts tend to have the same valence as previous posts. Threads starting from a larger number of negative comments also last longer so negative emotions can be treated as a kind of discussion fuel; when the fuel (negativity) is used up in the discussion, it may finish. Moreover, the amount of user activity in a particular thread correlates positively with the presence of negative emotions expressed by the individual user in the thread. In summary, the analyses describe individual and collective patterns of emotional activities of Web forum users and suggest that negativity is needed to fuel important discussions.
The majority of early exploratory webometrics studies have typically used simple network methods ... more The majority of early exploratory webometrics studies have typically used simple network methods or multi-dimensional scaling to identify hyperlink or text-based relationships between collections of related academic websites. This paper uses unsupervised machine learning techniques to identify groups of computer science departments with similar interests through co-word occurrences in the homepages of the departmental research groups. The clustering results reflect inter-department research similarity reasonably well, at least as reflected online. This clustering approach may be useful for policy makers in identifying future collaborators with similar research interests or for monitoring research fields. Keywords Webometrics Á Unsupervised learning Á Cluster analysis Á Co-word analysis Á Research group Á Self-organising maps Mathematics Subject Classification 68U15 Á 62H30 Á 91C20
Counts of hyperlinks between websites can be unreliable for webometrics studies so researchers ha... more Counts of hyperlinks between websites can be unreliable for webometrics studies so researchers have attempted to find alternate counting methods or have tried to identify the reasons why links in websites are created. Manual classification of individual links in websites is infeasible for large webometrics studies, so a more efficient approach to identifying the reasons for link creation is needed to fully harness the potential of hyperlinks for webometrics research. This paper describes a machine learning method to automatically classify hyperlink source and target page types in university websites. 78 % accuracy was achieved for automatically classifying web page types and up to 74 % accuracy for predicting link target page types from link source page characteristics.
ABSTRACT Within the past decade, the application of the Construction (Design & Management... more ABSTRACT Within the past decade, the application of the Construction (Design & Management) Regulations (CDM) and other relevant legislation by the Health & Safety Executive (HSE) has contributed to efforts to improve the health and safety culture of the construction industry. However, when compared to other industries, construction still has a relatively poor health and safety record. In order to change this depressing situation, several efforts are being made to reduce the number of deaths, injuries and ill health. Such efforts basically involve identifying the root causes of accidents, developing safety audit checklists and creating models of risk factors for accidents in construction operations amongst others. However, evidence suggests that the effectiveness of health and safety management would require recalling and integrating knowledge of different duty holders relating to design, construction, operation and maintenance. Currently, knowledge-based applications focus on various aspects of construction management. However, very little has been done to incorporate the application of knowledge-based systems in the multidisciplinary health and safety management to date. Outlining the current knowledge-based systems and cases of using these tools in other construction domains provides sound evidence that knowledge-based systems can efficiently and effectively aid decision support. A case review of a knowledge-based system specific for designers for construction health and safety provides a concrete example of such an initiative. To improve upon these developments, a conceptual framework for identifying the knowledge chunks underpinning the application of The CDM Regulations in the entire supply chain was, therefore, conducted. Subsequently, the role knowledge-based systems can play in improving overall construction health and safety management was also investigated. Finally, suggestions for implementing further research are presented as a means of engendering wide debate.
Wolverhampton Intellectual Repository and E-Theses > School of Applied Sciences > Research ... more Wolverhampton Intellectual Repository and E-Theses > School of Applied Sciences > Research Centre in Applied Sciences > Forensic Science Research Group > The effect of substrate on the reproducibility of inked fingerprint pore dimensions examined using photomicrography.
Palmprints are identified using matching of minutia points, which can be time consuming for finge... more Palmprints are identified using matching of minutia points, which can be time consuming for fingerprint experts and in database searches. This article analyzes the operational characteristics of a palmar flexion crease (PFC) identification software tool, using a dataset of 10 replicates of 100 palms, where the user can label and match palmar line features. Results show that 100 palmprint images modified 10 times each using rotation, translation, and additive noise, mimicking some of the characteristics found in crime scene palmar marks, can be identified with a 99.2% genuine acceptance rate and 0% false acceptance rate when labeled within 3.5 mm of the PFC. Partial palmprint images can also be identified using the same method to filter the dataset prior to traditional matching, while maintaining an effective genuine acceptance rate. The work shows that identification using PFCs can improve palmprint identification through integration with existing systems, and through dedicated palmprint identification applications.
This paper attempts to highlight some of the research that has been conducted worldwide in the ar... more This paper attempts to highlight some of the research that has been conducted worldwide in the area of computational models of emotions, with a particular emphasis on agent emotions suitable for simulations and games. The intended outcome is to both review some of the more prominent research in the field, and to also ascertain the level of formal psychology that may underpin such work with a view to proposing that there is scope for an architecture built from the ground up, that arises from non-conflicting theories of emotion.
The aim of this research was to gain an understanding of the styles and content of assessment our... more The aim of this research was to gain an understanding of the styles and content of assessment our students were used to receiving in their feeder Further Education (FE) institutions and hence the students ’ probable strengths and weaknesses with regard to assessment. Differences between the assessments they have been used to and those they encounter during the first year of their undergraduate programme in The School of Computing and Information Technology (SCIT) were analysed with the intention of identifying potential areas of difficulty experienced by our students. The increase in partcipation in Higher Education (HE) has led to an increase in the problem of first year failure and withdrawal, largely due to poor preparation for HE. Zeegers and Martin (2001) found that poorly prepared incoming students were often not willing to persist when they encountered difficulties. Ozga and Sukhanandan (1998) noted an absence of university preparation and appropriate guidance in schools and ...
Second International Conference on Genetic Algorithms in Engineering Systems, 1997
Page 1. 264 Solution Of Inverse Kinematics Problems Of A Hiehlv Kinematicallv Redundant Manipulat... more Page 1. 264 Solution Of Inverse Kinematics Problems Of A Hiehlv Kinematicallv Redundant Manipulator Usine Genetic Algorithms Kevan A. Buckley, Simon H. Hopkins, Brian CH Turton School Of Engineering, University Of Wales, Cardiff, PO Box 917 Newport Road, Cardiff, UK ...
The overall aim of this work in progress is to use visualisation to provide a tool for pre-operat... more The overall aim of this work in progress is to use visualisation to provide a tool for pre-operative planning of surgery on complex fractures, in particular for intra-articular fractures. Currently, a patient suffering from an intra-articular fracture has a high risk of developing arthritis if the fracture is not restored to an exact anatomical position. The visualisation of bone fractures may provide useful information that could assist the orthopaedic surgeon. The intention is to create a prototype using 2D and 3D visualisation to manipulate bone fragments on screen.
2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2017
Currently, most designers face a daunting task to research different design flows and learn the i... more Currently, most designers face a daunting task to research different design flows and learn the intricacies of specific software from various manufacturers in hardware/software co-design. An urgent need of creating a scalable hardware/software co-design platform has become a key strategic element for developing hardware/software integrated systems. In this paper, we propose a new design flow for building a scalable co-design platform on FPGA-based system-on-chip. We employ an integrated approach to implement a histogram oriented gradients (HOG) and a support vector machine (SVM) classification on a programmable device for pedestrian tracking. Not only was hardware resource analysis reported, but the precision and success rates of pedestrian tracking on nine open access image data sets are also analysed. Finally, our proposed design flow can be used for any real-time image processing-related products on programmable ZYNQ-based embedded systems, which benefits from a reduced design ti...
International Journal of Computer Trends and Technology, 2019
The trend in information technology has been changed by cloud computing (CC) services to facilita... more The trend in information technology has been changed by cloud computing (CC) services to facilitate the day to day business activities. CC services benefits for business and information technology (IT) includes a secure platform, reducing cost and increasing productivity. There are some challenges for some organisations that adopting CC services without ensuring that the information in the cloud is secure. The primary objective of this research is to investigate the IT and IT professional perception regarding the adoption of CC services as a new generation trend in computing technology. However, the extent of CC adoption services, to identify some of the factors motivating and some challenges affecting the adoption of CC services in England. Still some organisations are struggling, how to create a secure and cost effective CC services environment.The expected finding from this research believe to provide the certain analysis and confirm the significant factors from which perceptions are derived through classification, that can address the business and technology related issues by CC services. Especially, in this study, the CC users analyse the secure platform technologies, compatibility, cost evaluation and some other types of control they assume are beneficial for the deployment of on-premise or in the cloud environment. The interview data are presented, where CC services users reviews are collected to rate the different types of important information's related to CC services adoption. Then results are used to determine the compatibility, security and cost effectiveness are critical parameter to make this technology as a turning point for the organisation for their day to day business activities.
We perform a statistical analysis of emotionally annotated comments in two large online datasets,... more We perform a statistical analysis of emotionally annotated comments in two large online datasets, examining chains of consecutive posts in the discussions. Using comparisons with randomised data we show that there is a high level of correlation for the emotional content of messages.
International Journal of Information Technology and Computer Science, 2016
Multi-tenant databases (MTD) are aspect of computing that has become one of the revolutionary tec... more Multi-tenant databases (MTD) are aspect of computing that has become one of the revolutionary technologies of recent years. This technology has helped to discard the large-scale investments in hardware and software resources, in upgrading them regularly and also in expensive licences of application software used on inhouse hosted database systems. A MTD is a way of deploying a Database as a Service (DaaS) for the convenience and benefits of tenants. This concept is good for higher scalability and flexibility but it involves a lot of technicalities. The adoption of a MTD is based on some salient factors which can be grouped into four categories for easy understanding. A survey is presented in this research that involves a focus group of thirty respondents. The result shows the degree of impact each factor has on the decision to adopt a MTD. This paper also considers these factors and develops a framework that will help prospective tenants to take an informed decision about the adoption of the concept.
The main research question for this work is: What are the factors involved in developing a three-... more The main research question for this work is: What are the factors involved in developing a three-dimensional (3D) interactive model of a bone fracture and how best may these be addressed? This paper presents work in progress of the development of an Interactive Bone Fragment Manipulation tool which could be used as an aid for pre-operative planning of surgery on complex fractures.
Collaboration is essential for some types of research, and some agencies include collaboration am... more Collaboration is essential for some types of research, and some agencies include collaboration among the requirements for funding research projects. This makes it important to analyse collaborative research ties. Traditional methods to indicate the extent of collaboration between organizations use co-authorship data in citation databases. Publication data from these databases are not publicly available and can be expensive to access and so hyperlink data has been proposed as an alternative. This paper investigates whether using machine learning methods to filter page types can improve the extent to which hyperlink data can be used to indicate the extent of collaboration between universities. Structured information about research projects extracted from UK and EU funding agency websites, co-authored publications and academic links between universities were analysed to identify if there is any association between the number of hyperlinks connecting two universities, with and without m...
Considering the extremely low utilization of dedicated database servers and also reducing the har... more Considering the extremely low utilization of dedicated database servers and also reducing the hardware and operational cost associated with this model of database deployment, it is more reasonable to adopt a multi-tenant database (MTD). A MTD is a way of deploying a Database as a Service (DaaS). This is gaining momentum with significant increase in the number of organizations ready to take advantage of the technology. A multi-tenant database refers to a principle where a single instance of a Database Management System (DBMS) runs on a server, serving multiple clients organizations (tenants). This is a database which provides database support to a number of separate and distinct groups of users or tenants. This technology amortises the total cost of ownership (TCO) thereby leading to reduction in per-tenant cost by increasing the scale. This paper considers the requirements and challenges of implementing MTDs. Several factors that influence the adoption of MTDs are identified. In thi...
ABSTRACT In this work, we extend the Microblog dataset with subjectivity annotations. Our aim is ... more ABSTRACT In this work, we extend the Microblog dataset with subjectivity annotations. Our aim is twofold; first, we want to provide a high-quality, multiply-annotated gold standard of subjectivity annotations for the relevance assessments of the real-time adhoc task. Second, we randomly sample the rest of the dataset and annotate it for subjectivity once, in order to create a complementary annotated dataset that is at least an order of magnitude larger than the gold standard. As a result we have 2,389 tweets that have been annotated by multiple humans and 75,761 tweets that have been annotated by one annotator. We discuss issues like inter-annotator agreement, the time that it took annotators to classify tweets in correlation to their subjective content and lastly, the distribution of subjective tweets in relation to topic categorization. The annotated datasets and all relevant anonymised information are freely available for research purposes.
This chapter analyzes patterns in messages posted to several Internet discussion forums from the ... more This chapter analyzes patterns in messages posted to several Internet discussion forums from the perspective of the sentiment expressed in them and the collective character of observed emotions. A large set of records describing comments expressed in diverse cyber communities—blogs, forums, IRC channels, and the Digg community—was collected, and sentiment classifiers were used to estimate the emotional valence (positive, negative, or neutral) of each message. A comparison with simple models showed that the data included clusters of comments with the same emotional valence that were much longer than similar clusters created by a random process. This shows that there are emotional interactions between participants so that future posts tend to have the same valence as previous posts. Threads starting from a larger number of negative comments also last longer so negative emotions can be treated as a kind of discussion fuel; when the fuel (negativity) is used up in the discussion, it may finish. Moreover, the amount of user activity in a particular thread correlates positively with the presence of negative emotions expressed by the individual user in the thread. In summary, the analyses describe individual and collective patterns of emotional activities of Web forum users and suggest that negativity is needed to fuel important discussions.
The majority of early exploratory webometrics studies have typically used simple network methods ... more The majority of early exploratory webometrics studies have typically used simple network methods or multi-dimensional scaling to identify hyperlink or text-based relationships between collections of related academic websites. This paper uses unsupervised machine learning techniques to identify groups of computer science departments with similar interests through co-word occurrences in the homepages of the departmental research groups. The clustering results reflect inter-department research similarity reasonably well, at least as reflected online. This clustering approach may be useful for policy makers in identifying future collaborators with similar research interests or for monitoring research fields. Keywords Webometrics Á Unsupervised learning Á Cluster analysis Á Co-word analysis Á Research group Á Self-organising maps Mathematics Subject Classification 68U15 Á 62H30 Á 91C20
Counts of hyperlinks between websites can be unreliable for webometrics studies so researchers ha... more Counts of hyperlinks between websites can be unreliable for webometrics studies so researchers have attempted to find alternate counting methods or have tried to identify the reasons why links in websites are created. Manual classification of individual links in websites is infeasible for large webometrics studies, so a more efficient approach to identifying the reasons for link creation is needed to fully harness the potential of hyperlinks for webometrics research. This paper describes a machine learning method to automatically classify hyperlink source and target page types in university websites. 78 % accuracy was achieved for automatically classifying web page types and up to 74 % accuracy for predicting link target page types from link source page characteristics.
ABSTRACT Within the past decade, the application of the Construction (Design & Management... more ABSTRACT Within the past decade, the application of the Construction (Design & Management) Regulations (CDM) and other relevant legislation by the Health & Safety Executive (HSE) has contributed to efforts to improve the health and safety culture of the construction industry. However, when compared to other industries, construction still has a relatively poor health and safety record. In order to change this depressing situation, several efforts are being made to reduce the number of deaths, injuries and ill health. Such efforts basically involve identifying the root causes of accidents, developing safety audit checklists and creating models of risk factors for accidents in construction operations amongst others. However, evidence suggests that the effectiveness of health and safety management would require recalling and integrating knowledge of different duty holders relating to design, construction, operation and maintenance. Currently, knowledge-based applications focus on various aspects of construction management. However, very little has been done to incorporate the application of knowledge-based systems in the multidisciplinary health and safety management to date. Outlining the current knowledge-based systems and cases of using these tools in other construction domains provides sound evidence that knowledge-based systems can efficiently and effectively aid decision support. A case review of a knowledge-based system specific for designers for construction health and safety provides a concrete example of such an initiative. To improve upon these developments, a conceptual framework for identifying the knowledge chunks underpinning the application of The CDM Regulations in the entire supply chain was, therefore, conducted. Subsequently, the role knowledge-based systems can play in improving overall construction health and safety management was also investigated. Finally, suggestions for implementing further research are presented as a means of engendering wide debate.
Wolverhampton Intellectual Repository and E-Theses > School of Applied Sciences > Research ... more Wolverhampton Intellectual Repository and E-Theses > School of Applied Sciences > Research Centre in Applied Sciences > Forensic Science Research Group > The effect of substrate on the reproducibility of inked fingerprint pore dimensions examined using photomicrography.
Palmprints are identified using matching of minutia points, which can be time consuming for finge... more Palmprints are identified using matching of minutia points, which can be time consuming for fingerprint experts and in database searches. This article analyzes the operational characteristics of a palmar flexion crease (PFC) identification software tool, using a dataset of 10 replicates of 100 palms, where the user can label and match palmar line features. Results show that 100 palmprint images modified 10 times each using rotation, translation, and additive noise, mimicking some of the characteristics found in crime scene palmar marks, can be identified with a 99.2% genuine acceptance rate and 0% false acceptance rate when labeled within 3.5 mm of the PFC. Partial palmprint images can also be identified using the same method to filter the dataset prior to traditional matching, while maintaining an effective genuine acceptance rate. The work shows that identification using PFCs can improve palmprint identification through integration with existing systems, and through dedicated palmprint identification applications.
This paper attempts to highlight some of the research that has been conducted worldwide in the ar... more This paper attempts to highlight some of the research that has been conducted worldwide in the area of computational models of emotions, with a particular emphasis on agent emotions suitable for simulations and games. The intended outcome is to both review some of the more prominent research in the field, and to also ascertain the level of formal psychology that may underpin such work with a view to proposing that there is scope for an architecture built from the ground up, that arises from non-conflicting theories of emotion.
The aim of this research was to gain an understanding of the styles and content of assessment our... more The aim of this research was to gain an understanding of the styles and content of assessment our students were used to receiving in their feeder Further Education (FE) institutions and hence the students ’ probable strengths and weaknesses with regard to assessment. Differences between the assessments they have been used to and those they encounter during the first year of their undergraduate programme in The School of Computing and Information Technology (SCIT) were analysed with the intention of identifying potential areas of difficulty experienced by our students. The increase in partcipation in Higher Education (HE) has led to an increase in the problem of first year failure and withdrawal, largely due to poor preparation for HE. Zeegers and Martin (2001) found that poorly prepared incoming students were often not willing to persist when they encountered difficulties. Ozga and Sukhanandan (1998) noted an absence of university preparation and appropriate guidance in schools and ...
Second International Conference on Genetic Algorithms in Engineering Systems, 1997
Page 1. 264 Solution Of Inverse Kinematics Problems Of A Hiehlv Kinematicallv Redundant Manipulat... more Page 1. 264 Solution Of Inverse Kinematics Problems Of A Hiehlv Kinematicallv Redundant Manipulator Usine Genetic Algorithms Kevan A. Buckley, Simon H. Hopkins, Brian CH Turton School Of Engineering, University Of Wales, Cardiff, PO Box 917 Newport Road, Cardiff, UK ...
The overall aim of this work in progress is to use visualisation to provide a tool for pre-operat... more The overall aim of this work in progress is to use visualisation to provide a tool for pre-operative planning of surgery on complex fractures, in particular for intra-articular fractures. Currently, a patient suffering from an intra-articular fracture has a high risk of developing arthritis if the fracture is not restored to an exact anatomical position. The visualisation of bone fractures may provide useful information that could assist the orthopaedic surgeon. The intention is to create a prototype using 2D and 3D visualisation to manipulate bone fragments on screen.
2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2017
Currently, most designers face a daunting task to research different design flows and learn the i... more Currently, most designers face a daunting task to research different design flows and learn the intricacies of specific software from various manufacturers in hardware/software co-design. An urgent need of creating a scalable hardware/software co-design platform has become a key strategic element for developing hardware/software integrated systems. In this paper, we propose a new design flow for building a scalable co-design platform on FPGA-based system-on-chip. We employ an integrated approach to implement a histogram oriented gradients (HOG) and a support vector machine (SVM) classification on a programmable device for pedestrian tracking. Not only was hardware resource analysis reported, but the precision and success rates of pedestrian tracking on nine open access image data sets are also analysed. Finally, our proposed design flow can be used for any real-time image processing-related products on programmable ZYNQ-based embedded systems, which benefits from a reduced design ti...
International Journal of Computer Trends and Technology, 2019
The trend in information technology has been changed by cloud computing (CC) services to facilita... more The trend in information technology has been changed by cloud computing (CC) services to facilitate the day to day business activities. CC services benefits for business and information technology (IT) includes a secure platform, reducing cost and increasing productivity. There are some challenges for some organisations that adopting CC services without ensuring that the information in the cloud is secure. The primary objective of this research is to investigate the IT and IT professional perception regarding the adoption of CC services as a new generation trend in computing technology. However, the extent of CC adoption services, to identify some of the factors motivating and some challenges affecting the adoption of CC services in England. Still some organisations are struggling, how to create a secure and cost effective CC services environment.The expected finding from this research believe to provide the certain analysis and confirm the significant factors from which perceptions are derived through classification, that can address the business and technology related issues by CC services. Especially, in this study, the CC users analyse the secure platform technologies, compatibility, cost evaluation and some other types of control they assume are beneficial for the deployment of on-premise or in the cloud environment. The interview data are presented, where CC services users reviews are collected to rate the different types of important information's related to CC services adoption. Then results are used to determine the compatibility, security and cost effectiveness are critical parameter to make this technology as a turning point for the organisation for their day to day business activities.
We perform a statistical analysis of emotionally annotated comments in two large online datasets,... more We perform a statistical analysis of emotionally annotated comments in two large online datasets, examining chains of consecutive posts in the discussions. Using comparisons with randomised data we show that there is a high level of correlation for the emotional content of messages.
International Journal of Information Technology and Computer Science, 2016
Multi-tenant databases (MTD) are aspect of computing that has become one of the revolutionary tec... more Multi-tenant databases (MTD) are aspect of computing that has become one of the revolutionary technologies of recent years. This technology has helped to discard the large-scale investments in hardware and software resources, in upgrading them regularly and also in expensive licences of application software used on inhouse hosted database systems. A MTD is a way of deploying a Database as a Service (DaaS) for the convenience and benefits of tenants. This concept is good for higher scalability and flexibility but it involves a lot of technicalities. The adoption of a MTD is based on some salient factors which can be grouped into four categories for easy understanding. A survey is presented in this research that involves a focus group of thirty respondents. The result shows the degree of impact each factor has on the decision to adopt a MTD. This paper also considers these factors and develops a framework that will help prospective tenants to take an informed decision about the adoption of the concept.
The main research question for this work is: What are the factors involved in developing a three-... more The main research question for this work is: What are the factors involved in developing a three-dimensional (3D) interactive model of a bone fracture and how best may these be addressed? This paper presents work in progress of the development of an Interactive Bone Fragment Manipulation tool which could be used as an aid for pre-operative planning of surgery on complex fractures.
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Papers by Kevan Buckley