A computational intelligent approach to multi-factor analysis of violent crime information systems

Various scientific studies have explored the causes of violent behaviour from different perspectives, with psychological tests, in particular, applied to the analysis of crime factors. The relationship between bi-factors has also been extensively studied including the link between age and crime. In reality, many factors interact to contribute to criminal behaviour and as such there is a need to have a greater level of insight into its complex nature. In this article we analyse violent crime information systems containing data on psychological, environmental and genetic factors. Our approach combines elements of rough set theory with fuzzy logic and particle swarm optimisation to yield an algorithm and methodology that can effectively extract multi-knowledge from information systems. The experimental results show that our approach outperforms alternative genetic algorithm and dynamic reduct-based techniques for reduct identification and has the added advantage of identifying multiple reducts and hence multi-knowledge (rules). Identified rules are consistent with classical statistical analysis of violent crime data and also reveal new insights into the interaction between several factors. As such, the results are helpful in improving our understanding of the factors contributing to violent crime and in highlighting the existence of hidden and intangible relationships between crime factors.

Personalising Crime and Crime-fighting in Factual Television:an Analysis of Social Actors and Transitivity in Language and Images

This article addresses the lack of work on media and crime in Critical Discourse Analysis (CDA), using an example of a factual television crime report. The existing research in media studies and criminology points to the way that the media misrepresents crime by distorting public understandings and backgrounding structural issues, such as poverty, which are related to crime thereby legitimising a criminal justice system that serves the interests of the powerful in society. Using social actor and transitivity analysis, this article shows how multimodal CDA can make an important contribution as it reveals the more subtle linguistic strategies and visual representations by which this process is accomplished, showing how each plays a part in the recontextualisation of social practice. This programme backgrounds which crimes are committed but foregrounds mental states and the neutrality of policing.

A RAG System for the Management Forensic and Archaeological Searches of Burial Grounds

Burial grounds are commonly surveyed and searched by both police/humanitarian search teams and archaeologists.
One aspect of an efficient search is to establish areas free of recent internments to allow the concentration of assets in suspect
terrain. While 100% surety in locating remains can never be achieved, the deployment of a red, amber green (RAG) system for
assessment has proven invaluable to our surveys. The RAG system is based on a desktop study (including burial ground
records), visual inspection (mounding, collapses) and use of geophysics (in this case, ground penetrating radar or GPR) for a
multi-proxy assessment that provides search authorities an assessment of the state of inhumations and a level of legal backup
for decisions they make on excavation or not (‘exit strategy’). The system is flexible and will be built upon as research
continues.

Belfast's Traditional Music Scene: A Narrative of Change and Development

Today Belfast is home to a vibrant traditional music scene. There have never been more sessions, concerts, classes or lectures devoted to traditional music in the north's biggest city. A complex system of promoters, performers and listeners has emerged in a city that is growing in confidence as it moves away from the dark days of the Troubles. But how does this system function? While Dowling (2014) has examined the development of traditional music-making in Belfast as it shifted from a pre-conflict to conflict ridden environment, little research has been carried out into the reasons behind the boom in traditional music-making in a post-conflict setting.

This paper examines the impact upon the traditional music scene of the first wave of students to arrive in Belfast after the signing of the Good Friday Agreement in 1998. These musicians, such as Donal O'Connor, Ruadhrai O'Kane and Aidan Walsh have had a lasting impact upon the lives of musicians native to Belfast, helping to bring traditional music to new venues and audiences.

The work of Belfast-based music schools with varying remits, such as Belfast Trad., and the Andersonstown School of Traditional and Contemporary Music, is also examined for the purpose of illustrating how both adults and young people are being educated about their musical heritage.

Partial shoeprint retrieval using multiple point-of-interest detectors and SIFT descriptors

Shoeprint evidence collected from crime scenes can play an important role in forensic investigations. Usually, the analysis of shoeprints is carried out manually and is based on human expertise and knowledge. As well as being error prone, such a manual process can also be time consuming; thus affecting the usability and suitability of shoeprint evidence in a court of law. Thus, an automatic system for classification and retrieval of shoeprints has the potential to be a valuable tool. This paper presents a solution for the automatic retrieval of shoeprints which is considerably more robust than existing solutions in the presence of geometric distortions such as scale, rotation and scale distortions. It addresses the issue of classifying partial shoeprints in the presence of rotation, scale and noise distortions and relies on the use of two local point-of-interest detectors whose matching scores are combined. In this work, multiscale Harris and Hessian detectors are used to select corners and blob-like structures in a scale-space representation for scale invariance, while Scale Invariant Feature Transform (SIFT) descriptor is employed to achieve rotation invariance. The proposed technique is based on combining the matching scores of the two detectors at the score level. Our evaluation has shown that it outperforms both detectors in most of our extended experiments when retrieving partial shoeprints with geometric distortions, and is clearly better than similar work published in the literature. We also demonstrate improved performance in the face of wear and tear. As matter of fact, whilst the proposed work outperforms similar algorithms in the literature, it is shown that achieving good retrieval performance is not constrained by acquiring a full print from a scene of crime as a partial print can still be used to attain comparable retrieval results to those of using the full print. This gives crime investigators more flexibility is choosing the parts of a print to search for in a database of footwear.

“Local politics and global corporate crime in Irish crime fiction : Alan Glynn's Winterland trilogy",

Crime, Punishment and Article 3 ECHR: Puzzles and Prospects of Applying an Absolute Right in a Penal Context

Article 3 of the European Convention on Human Rights (ECHR), which provides that ‘No one shall be subjected to torture or to inhuman or degrading treatment or punishment’, is considered to enshrine an absolute right. Yet it contains an under-explored element: inhuman and degrading punishment. While torture has been the subject of extensive academic commentary, and inhuman and degrading treatment has been examined to some extent, the prohibition of inhuman and degrading punishment has not been explored in significant depth, in spite of its considerable potential to alter the penal landscape.

This paper elucidates the key doctrinal elements of inhuman and degrading punishment ‘and treatment associated with it’, in the words of the European Court of Human Rights (ECtHR). It addresses a number of ‘puzzles’ or problems which arise in applying the absolute right enshrined in Article 3 of the ECHR to sentencing and imprisonment, clarifies ECtHR doctrine and highlights some of its key implications. Bringing a theoretically informed understanding to bear on the application of Article 3 of the ECHR in a penal context, the paper provides clarity and coherence to a complex and crucial intersection between human rights and penology.

Spatial Distribution of Soil Geochemistry in Geoforensics

Two common scenarios in Geoforensics (definition in text) are considered: the provenance, or localization of unknown samples and the question of sample variability at scenes of crime/alibi locations. Both have been discussed in forensic and soil science publications, but mostly within a theoretical or non-forensic context. These previous publications provide context for the two case study scenarios (one actual, one based on a range of criminal casework) that consider provenance and variability. A challenging scientific question in geoforensics is the provenance question: ‘where may this sample have come from?’ A question the Tellus data can assist in answering. The question of variation between samples maybe less of a challenge, yet variation between a suspect sample within a scene of crime requires detailed sampling. Variation on a larger (tens to hundreds of kilometres) scale may provide useful intelligence on where a sample came from. To summarise, databases such as Tellus and TellusBorder may be used as effective tools to assist in the search for the origin of displaced soil and sediment