Kevan Antony Buckley

• PhD
• Retired (Head of School of Mathematics and Computer Science) at University of Wolverhampton

Cloud computing is a paradigm which offers IT services such as storage, network and processing power via the internet. The technology has gained popularity in recent years with adoption in different sectors due to the numerous benefits it offers such as scalability, flexibility and cost reduction. Although some are quick adopters, others are consid...

Expert Systems (ES) is a branch of Artificial Intelligence (AI) that makes extensive use of specialized knowledge to solve problems at the level of a human expert. It uses a computer program that represents and reasons with knowledge of some specialist subject with a view to solving problems or giving advice. These systems represent a programming m...

Expert Systems (ES) is a branch of Artificial Intelligence (AI) that makes extensive use of specialized knowledge to solve problems at the level of a human expert. It uses a computer program that represents and reasons with knowledge of some specialist subject with a view to solving problems or giving advice. These systems represent a programming m...

Multi-tenant Databases (MTD) are implemented in the deployment of database management services to Information Technology (IT) platform users. A database service provider hosts the Multi-tenant Database Management System (MTDMS) and each tenant subscribes to the service through a standard method such as a web service. Improved groupings of the facto...

Multi-tenant Databases (MTD) are implemented in the deployment of database management services to Information Technology (IT) platform users. A database service provider hosts the Multi-tenant Database Management System (MTDMS) and each tenant subscribes to the service through a standard method such as a web service. Improved groupings of the facto...

—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....

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 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 int...

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 i...

As both the growing demand for more immersive games continues and a widening of the buying audience increases, there is a growth in the quality and quantity of research and development in the field of "believable" computer game characters. This believability is necessary for the continued improvement in realism for computer games [Smith et al 2002]...

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 se...

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. Publicati...

The paper presents an analysis of the length of comments posted in Internet discussion fora, based on a collection of large datasets from several sources. We found that despite differences in the forum language, the discussed topics and user emotions, the comment length distributions are very regular and described by the lognormal form with a very...

Using raw hyperlink counts for webometrics research has been shown to be unreliable and researchers have looked for alternatives. One alternative is classifying hyperlinks in a website based on the motivation behind the hyperlink creation. The method used for this type of classification involves manually visiting a webpage and then classifying indi...

General sentiment analysis for the social web has become increasingly useful for shedding light on the role of emotion in online communication and offline events in both academic research and data journalism. Nevertheless, existing general-purpose social web sentiment analysis algorithms may not be optimal for texts focussed around specific topics....

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 f...

The nature of crime scene palmar images (CSPI) or factors affecting search parameters using a palm-enabled AFIS system have not been investigated. A questionnaire-based survey, undertaken by U.K. fingerprint experts utilizing the U.K.'s IDENT-1 system during the period January to July 2010, of CSPI marks has been conducted to provide descriptive st...

Sentiment analysis programs are now sometimes used to detect patterns of sentiment use over time in online communication and to help automated systems interact better with users. Nevertheless, it seems that no previous published study has assessed whether the position of individual texts within on-going communication can be exploited to help detect...

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, i...

Sentiment analysis is concerned with the automatic extraction of sentiment-related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorit...

Emotions are an important part of most societal dynamics. As with face to face meetings, Internet exchanges may not only include factual information but may also elicit emotional responses; how participants feel about the subject discussed or other group members. The development of automatic sentiment analysis has made large scale emotion detection...

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.

E-communities, social groups interacting online, have recently become an object of interdisciplinary research. As with face-to-face meetings, Internet exchanges may not only include factual information but also emotional information--how participants feel about the subject discussed or other group members. Emotions in turn are known to be important...

The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events are typically...

Emotions are an important part of most societal dynamics. As with face to face meetings, Internet exchanges may not only include factual information but may also elicit emotional responses; how participants feel about the subject discussed or other group members. The development of automatic sentiment analysis has made large scale emotion detection...

A huge number of informal messages are posted every day in social network sites, blogs and discussion forums. Emotions seem to be frequently important in these texts for expressing friendship, showing social support or as part of online arguments. Algorithms to identify sentiment and sentiment strength are needed to help understand the role of emot...

We present an empirical study of user activity in online BBC discussion forums, measured by the number of posts written by individual debaters and the average sentiment of these posts. Nearly 2.5 million posts from over 18 thousand users were investigated. Scale free distributions were observed for activity in individual discussion threads as well...

Palmar flexion crease recognition is a palmprint identification method for verifying biometric identity. This paper proposes a method of automated flexion crease recognition that can be used to identify palmar flexion creases in online palmprint images. A modified image seams algorithm is used to extract the flexion creases, and a matching algorith...

The reproducibility of third level fingerprint detail is important in personal identification. The effect of different substrates on the reproducibility of pore dimensions in inked reference fingerprints was investigated. Photomicrographs of inked reference prints were taken and their dimensions were measured using appropriate software. Results con...

This paper reviews existing approaches to reputati on systems, their constraints as well as available solutions. Furthermore, it presents and e valuates a novel and comprehensive reputation model devoted to the distributed reputation system for Bu siness-to-Consumer (B2C) E-commerce applications that overcomes the discussed drawbacks. The algorit h...

This paper presents a novel and comprehensive reputation metric designed for the distributed reputation system for the Business-to-Consumer (B2C) E-commerce applications. The algorithm offers a comprehensive approach as it considers a number of the parameters that have a bearing on trust and reputation such as age of ratings, transaction value, cre...

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 p...

The study of the reproducibility of friction ridge pore detail in fingermarks is a measure of their usefulness in personal identification. Pore area in latent prints developed using cyanoacrylate and ninhydrin were examined and measured by photomicrography using appropriate software tools. The data were analysed statistically and the results showed...

Trust and reputation systems have recently come into the focus for the virtual environment research to offer online user a decision support mechanisms. Many ofthem are agent-based as they represent a promising paradigm for open, distributed marketplaces. This paper presents an improved distributed agent-based reputation mechanism which contributes...

The research presented here, attempts to review a range of techniques commonly categorized under the umbrella of artificial intelligence (A.I.) that could be applied when developing agents with emotions in a range of applications. The paper focuses on anger (and its related emotions), an emotion strongly linked with aggression which of course forms...

It is believed that standard, generic pre-qualification competence questionnaires can often be irrelevant, create a great deal of paperwork, and be of little benefit to health and safety. Under the Construction (Design and Management) (CDM) Regulations 2007, clients have to take reasonable steps to ensure that all duty-holders to be appointed or en...

This article was first published in the Wolverhampton Intellectual Repository and E-Theses (WIRE). There is no printed version. This project contributes to the long term goal of improving the Learning and Teaching of Computer Programming. This is a core topic in The School of Computing and Information Technology (SCIT) that the majority of students...

The valuation of variations has been recognised as a prime cause of conflict and dispute in construction management. Such disputes often concern the prices and/or rates to be applied to the varied works. Previous research has identified the subjectivity of the decision-maker in interpreting the valuation rules to be the major problem, particularly...

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 po...

There has been much evidence that valuing variations in construction projects can lead to conflicts and disputes leading to loss of time, efficiency, and productivity. One of the reasons for these conflicts and disputes concerns the subjectivity of the project stakeholders involved in the process. One way to minimise this is to capture and collate...

Lymphangiomyomatosis is a rare disease of unknown etiology characterized by hamartomatous proliferation of smooth muscle in the pulmonary lymphatics, blood vessels and airways. The disease occurs exclusively in women of reproductive age. Although the clinical course and radiographic findings may strongly suggest lymphangiomyomatosis, definitive dia...

Report of a CELT project on enhancing learning and teaching through innovation and research. Discusses differences in the style and content of assessment of students in Further Education colleges compared with assessment during their first year undergraduate programme in the School of Computing and Information technology at the University of Wolver...