Approximate clone detection in repositories of business process models

Evidence exists that repositories of business process models used in industrial practice contain significant amounts of duplication. This duplication may stem from the fact that the repository describes variants of the same pro- cesses and/or because of copy/pasting activity throughout the lifetime of the repository. Previous work has put forward techniques for identifying duplicate fragments (clones) that can be refactored into shared subprocesses. However, these techniques are limited to finding exact clones. This paper analyzes the prob- lem of approximate clone detection and puts forward two techniques for detecting clusters of approximate clones. Experiments show that the proposed techniques are able to accurately retrieve clusters of approximate clones that originate from copy/pasting followed by independent modifications to the copied fragments.

Eco-crime and air pollution

This chapter applies emerging discourses of eco-crime and green criminology to issues of air pollution. Of course there are various forms of pollution, but this chapter will focus on the contamination and regulation of 'the air we breathe'.

Crime : Local and Global

Crime: Local and Global covers the way local events (such as prostitution) have wider aspects than previously thought. Links with people traffickers, international organised crime and violence cannot be ignored any longer. Each crime or area of activity selected within this text has a global reach, and is made ever more possible due to the way globalisation has opened up markets, both legitimate and illegitimate. The book's approach and scope emphasises that we can no longer view 'crime' as something which occurs within certain jurisdictions, at certain times and in particular places. For example, the chapter on cybercrime highlights the 'illegal' acts that can be perpetrated by second lifers, anywhere in the world, but are they a crime?

Firearms theft in New Zealand : lessons for crime and injury prevention

In New Zealand, 200,000 licensed shooters (5.5% of the population) own an estimated 1 million firearms, 9 times more guns per capita than in England and Wales and 20% more than in Australia. Based on a 3 year study of firearm theft in New Zealand, this paper concludes that insecure storage of lawfully held weapons by licensed owners poses a significant public health and safety risk. Furthermore, this paper concludes that the failure of the police to enforce New Zealand gun security laws, and the government's hesitancy to develop firearm education and regulation policies, exacerbates insecure firearm storage, a key factor in firearm-related theft, injury, suicide, violence and criminal activity.

Locally oriented crime prevention and the “partnership approach” : politics, practices and prospects

Why have multi-agency or "partnership" approaches to crime prevention and community safety been reported internationally with unfavorable results? Can groups and individuals from disparate government and non-government sectors work together to reduce or prevent crime? This article will address these and other questions by using developments in Belgium as its case study. In 1992, Belgium launched its "safety and crime prevention contracts", a series of locally based crime prevention initiatives which have attempted to contract federal, regional and local governments to a range of social and police oriented crime prevention endeavors. Traces the development of the Belgian crime prevention contracts and examines the difficulties experienced with "multi-agency crime prevention" and suggests that much of the political rhetoric in Belgium calling for local, community and intersectorial "partnerships" has, like several other countries including England and Wales, Canada, Australia and New Zealand, lacked clear practical expression. However, some promising initiatives indicate that this prevention approach may be capable of producing effective crime prevention and community safety outcomes. Further research is needed to describe these initiatives and analyze the conditions under which they are developed.

Crime is in the air : air pollution and regulation in the UK

This latest briefing by Professor Reece Walters in the What is crime? series, draws attention to an area of harm that is often absent from criminological debate. He highlights the human costs of air pollution and failed attempts to adequately regulate and control such harm. Arguing for a cross disciplinary ‘eco-crime’ narrative, the author calls for greater understanding of the far-reaching consequences of air pollution which could set in train changes which may lead to a ‘more robust and meaningful system of justice’. Describing current arrangements in place to control and regulate air pollution, Walters draws attention to the lack of neutrality in current arrangements and the bias ‘towards the economic imperatives of free trade over and above the centrality of environmental protection’. While attention is often given to direct and individualised instances of ‘crime’, the serious consequences of air pollution are frequently neglected. The negative effects of pollution on health and well-being are often borne by people already experiencing a range of other disadvantages. In a global and national context, it is often the poor who are affected most. Ultimately, political and economic imperatives have historically helped to shape legal and regulatory regimes. Whether this is an inherent flaw in current systems or something that can be overcome in favour of dealing with more wide-ranging harms is an area that requires further discussion and debate.

Toward non-invasive detection of concealed energetic materials in-field under ambient-light conditions

Spatially offset Raman spectroscopy (SORS) is demonstrated for the non-contact detection of energetic materials concealed within non-transparent, diffusely scattering containers. A modified design of an inverse SORS probe has been developed and tested. The SORS probe has been successfully used for the detection of various energetic substances inside different types of plastic containers. The tests have been successfully conducted under incandescent and fluorescent background lights as well as under daylight conditions, using a non-contact working distance of 6 cm. The interrogation times for the detection of the substances were less than 1 minute in each case, highlighting the suitability of the device for near real-time detection of concealed hazards in the field. The device has potential applications in forensic analysis and homeland security investigations.

OpenFABMAP : an open source toolbox for appearance-based loop closure detection

Appearance-based loop closure techniques, which leverage the high information content of visual images and can be used independently of pose, are now widely used in robotic applications. The current state-of-the-art in the field is Fast Appearance-Based Mapping (FAB-MAP) having been demonstrated in several seminal robotic mapping experiments. In this paper, we describe OpenFABMAP, a fully open source implementation of the original FAB-MAP algorithm. Beyond the benefits of full user access to the source code, OpenFABMAP provides a number of configurable options including rapid codebook training and interest point feature tuning. We demonstrate the performance of OpenFABMAP on a number of published datasets and demonstrate the advantages of quick algorithm customisation. We present results from OpenFABMAP’s application in a highly varied range of robotics research scenarios.

The role of strategic intelligence in anticipating transnational organised crime: A literary review

Transnational Organised Crime (TOC) has become a focal point for a range of private and public stakeholders. While not a new phenomenon, the rapid expansion of TOC activities and interests, its increasingly complex structures and ability to maximise opportunity by employing new technologies at a rate impossible for law enforcement to match complicates law enforcement’s ability to develop strategies to detect, disrupt, prevent and investigate them. In an age where the role of police has morphed from simplistic response and enforcement activities to one of managing human security risk, it is argued that intelligence can be used to reduce the impact of strategic surprise from evolving criminal threats and environmental change. This review specifically focuses on research that has implications for strategic intelligence and strategy setting in a TOC context. The review findings suggest that current law enforcement intelligence literature focuses narrowly on the management concept of intelligence-led policing in a tactical, operational setting. As such the review identifies central issues surrounding strategic intelligence and highlights key questions that future research agendas must address to improve strategic intelligence outcomes, particularly in the fight against TOC.

Fear of Crime in Expatriate Australians in Ho Chi Minh City Vietnam

This is an analytical report of a qualitative study of fear of crime in six Australian expatriates living in Ho Chi Minh City (HCMC) Vietnam. Addressing the primary question of what changes, or impacts upon, fear of crime in Australian expatriates in HCMC Vietnam, the research paid particular attention to studying the differences in fear of crime when respondents became expatriates, and the impact of incivilities and access to media. Each of the respondents indicated that they felt safer in Vietnam than in Australia. An analysis of the respondents’ responses indicates that this feeling of safety did not occur on arrival but after a short period of adjustment. The findings of this research support the existing theories on fear of crime and highlight the importance of context in predicting the impact of such factors as media and incivilities. The study has practical applications for both private and public sector organisations seeking to deploy staff to HCMC and adds to the current significant body of fear of crime research by specifically examining the issue of fear of crime amongst expatriates.

Diesel knock combustion and its detection using acoustic emission

This paper presents an experimental investigation into the detection of excessive Diesel knock using acoustic emission signals. Three different dual-fuel Diesel engine operating regimes were induced into a compression ignition (Diesel) engine operating on both straight Diesel fuel and two different mixtures of fumigated ethanol and Diesel. The experimentally induced engine operating regimes were; normal, or Diesel only operation, acceptable dual-fuel operation and dual-fuel operation with excessive Diesel knock. During the excessive Diesel knock operating regime, high rates of ethanol substitution induced potentially damaging levels of Diesel knock. Acoustic emission data was captured along with cylinder pressure, crank-angle encoder, and top-dead centre signals for the different engine operating regimes. Using these signals, it was found that acoustic emission signals clearly distinguished between the two acceptable operating regimes and the operating regime experiencing excessive Diesel knock. It was also found that acoustic emission sensor position is critical. The acoustic emission sensor positioned on the block of the engine clearly related information concerning the level of Diesel knock occurring in the engine whist the sensor positioned on the head of the engine gave no indication concerning Diesel knock severity levels.

Established-outsider relations and fear of crime in mining towns

Using Elias and Scotson's (1994) account of established-outsider relations, this article examines how the organisational capacity of specific social groups is significant in determining the quality of crime-talk in isolated and rural settings. In particular, social 'oldness' and notions of what constitutes 'community' are significant in determining what activities and individuals are salient within crime-talk. Individual and gorup interviews, conducted in a West Australian mining town, revealed how crime-talk is an artefact of specific social figurations and the relative ability of groups to act as cohesive and integrated networks. We argue that anxieties regarding crime are a product of specific social figurations and the shifting power ratios of groups within such figurations.

Field-of-view, detection range, and false alarm trade-offs in vision-based aircraft detection

This paper presents a survey of previously presented vision based aircraft detection flight test, and then presents new flight test results examining the impact of camera field-of view choice on the detection range and false alarm rate characteristics of a vision-based aircraft detection technique. Using data collected from approaching aircraft, we examine the impact of camera fieldof-view choice and confirm that, when aiming for similar levels of detection confidence, an improvement in detection range can be obtained by choosing a smaller effective field-of-view (in terms of degrees per pixel).

Spectrum sensing using two-stage detection to compensate for reduced primary user duty cycle

Spectrum sensing is considered to be one of the most important tasks in cognitive radio. One of the common assumption among current spectrum sensing detectors is the full presence or complete absence of the primary user within the sensing period. In reality, there are many situations where the primary user signal only occupies a portion of the observed signal and the assumption of primary user duty cycle not necessarily fulfilled. In this paper we show that the true detection performance can degrade from the assumed achievable values when the observed primary user exhibits a certain duty cycle. Therefore, a two-stage detection method incorporating primary user duty cycle that enhances the detection performance is proposed. The proposed detector can improve the probability of detection under low duty cycle at the expense of a small decrease in performance at high duty cycle.

Unusual scene detection using distributed behaviour model and sparse representation

The ability to detect unusual events in surviellance footage as they happen is a highly desireable feature for a surveillance system. However, this problem remains challenging in crowded scenes due to occlusions and the clustering of people. In this paper, we propose using the Distributed Behavior Model (DBM), which has been widely used in computer graphics, for video event detection. Our approach does not rely on object tracking, and is robust to camera movements. We use sparse coding for classification, and test our approach on various datasets. Our proposed approach outperforms a state-of-the-art work which uses the social force model and Latent Dirichlet Allocation.