Crime script analysis as a methodology to analyse criminal processes is underdeveloped. This is apparent from the various approaches in which scholars apply crime scripting and present their cybercrime scripts. The plethora of scripting methods raise significant concerns about the reliability and validity of these scripting studies. In this methodological paper, we demonstrate how object-oriented modelling (OOM) could address some of the currently identified methodological issues, thereby refining crime script analysis. More specifically, we suggest to visualise crime scripts using static and dynamic modelling with the Unified Modelling Language (UML) to harmonise cybercrime scripts without compromising their depth. Static models visualise objects in a system or process, their attributes and their relationships. Dynamic models visualise actions and interactions during a process. Creating these models in addition to the typical textual narrative could aid analysts to more systematically consider, organise and relate key aspects of crime scripts. In turn, this approach might, amongst others, facilitate alternative ways of identifying intervention measures, theorising about offender decision-making, and an improved shared understanding of the crime phenomenon analysed. We illustrate the application of these models with a phishing script.
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This article deals with automatic object recognition. The goal is that in a certain grey-level image, possibly containing many objects, a certain object can be recognized and localized, based upon its shape. The assumption is that this shape has no special characteristics on which a dedicated recognition algorithm can be based (e.g. if we know that the object is circular, we could use a Hough transform or if we know that it is the only object with grey level 90, we can simply use thresholding). Our starting point is an object with a random shape. The image in which the object is searched is called the Search Image. A well known technique for this is Template Matching, which is described first.
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The performance of human-robot collaboration tasks can be improved by incorporating predictions of the human collaborator's movement intentions. These predictions allow a collaborative robot to both provide appropriate assistance and plan its own motion so it does not interfere with the human. In the specific case of human reach intent prediction, prior work has divided the task into two pieces: recognition of human activities and prediction of reach intent. In this work, we propose a joint model for simultaneous recognition of human activities and prediction of reach intent based on skeletal pose. Since future reach intent is tightly linked to the action a person is performing at present, we hypothesize that this joint model will produce better performance on the recognition and prediction tasks than past approaches. In addition, our approach incorporates a simple human kinematic model which allows us to generate features that compactly capture the reachability of objects in the environment and the motion cost to reach those objects, which we anticipate will improve performance. Experiments using the CAD-120 benchmark dataset show that both the joint modeling approach and the human kinematic features give improved F1 scores versus the previous state of the art.
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This paper describes the work that is done by a group of I3 students at Philips CFT in Eindhoven, Netherlands. I3 is an initiative of Fontys University of Professional Education also located in Eindhoven. The work focuses on the use of computer vision in motion control. Experiments are done with several techniques for object recognition and tracking, and with the guidance of a robot movement by means of computer vision. These experiments involve detection of coloured objects, object detection based on specific features, template matching with automatically generated templates, and interaction of a robot with a physical object that is viewed by a camera mounted on the robot.
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This paper is a report of a review conducted to provide an overview of the evidence in the literature on task-oriented training of stroke survivors and its relevance in daily nursing practice. Background: Stroke is the second leading cause of death and one of the leading causes of adult disability in the Western world. The use of neurodevelopmental treatment in the daily nursing care of stroke survivors does not improve clinical outcomes. Nurses are therefore exploring other forms of rehabilitation intervention, including task-oriented rehabilitation. Despite the growing number of studies showing evidence on task-oriented interventions, recommendations for daily nursing practice are lacking. A range of databases was searched to identify papers addressing taskoriented training in stroke rehabilitation, including Medline, CINAHL, Embase and the Cochrane Library of systematic reviews. Papers published in English between January 1996 and September 2007 were included. There were 42 papers in the final dataset, including nine systematic reviews. Review methods: The selected randomized controlled trials and systematic reviews were assessed for quality. Important characteristics and outcomes were extracted and summarized. Results: Studies of task-related training showed benefits for functional outcome compared with traditional therapies. Active use of task-oriented training with stroke survivors will lead to improvements in functional outcomes and overall healthrelated quality of life. Conclusion. Generally, task-oriented rehabilitation proved to be more effective. Many interventions are feasible for nurses and can be performed in a ward or at home. Nurses can and should play an important role in creating opportunities to practise meaningful functional tasks outside of regular therapy sessions.
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Accurate modeling of end-users’ decision-making behavior is crucial for validating demand response (DR) policies. However, existing models usually represent the decision-making behavior as an optimization problem, neglecting the impact of human psychology on decisions. In this paper, we propose a Belief-Desire-Intention (BDI) agent model to model end-users’ decision-making under DR. This model has the ability to perceive environmental information, generate different power scheduling plans, and make decisions that align with its own interests. The key modeling capabilities of the proposed model have been validated in a household end-user with flexible loads
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There are lots of definitions of quality, and also of quality in education. Garvin (1984)discerns five approaches: the transcendental approach, the product-oriented approach, the customeroriented approach, the manufacturing-oriented approach and the value-for-money approach. Harvey and Green (1993) give five interrelated concepts of quality as: exceptional, perfection (or consistency), fitness for purpose, value for money and transformative. A new definition of quality is needed to explain recent quality issues in higher education. This article describes a quality concept with four constituents: object, standard, subject and values. The article elaborates on the values. Four value systems derived from Beck and Cowan (1996) are transformed into four value systems on quality and quality management: control, continuous improvement, commitment and breakthrough. These value systems make it possible to explain some recent developments in quality management in higher education.
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This paper discusses two studies - the one in a business context, the other in a university context - carried out with expert educational designers. The studies aimed to determine the priorities experts claim to employ when designing competence-based learning environments. Designers in both contexts agree almost completely on principles they feel are important. Both groups emphasized that one should start a design enterprise from the needs of the learners, instead of the content structure of the learning domain. However, unlike business designers, university designers find it extremely important to consider alternative solutions during the whole design process. University designers also say that they focus more on project plan and desired characteristics of the instructional blueprint whereas business designers report being more client-oriented, stressing the importance of "buying in" the client early in the process.
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Practice-oriented research is scientific research that is conducted with the primary goal to realize practical impact in relevant work fields. It shares with academic research the necessity to design and conduct the research in a methodologically sound way. It differs from typical academic research in the sense that academic research is on average more theory driven. The term "scientific" means that practice-oriented research, like academic research, has to conform to contextually relevant demands of reliability and validity. Accordingly, good practice-oriented research is research that conforms to relevant methodological demands and is useful to practitioners. Moreover, just like academic research, practice-oriented research should be in line with ethical standards. There is no single valid practice-oriented research method.
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The European Union is implementing policies to achieve its priorities of the European Green Deal; A Europe fit for the digital age; An economy that works for people; and A stronger Europe in the world. To achieve these goals, there is a need for a paradigm shift in the way public and private sector organisations, as well as civic society organisations (CSOs) ‘do their business’. In particular, current employees, from chief executive to operative, volunteers, and new entrants to these organisations need to be educated and equipped with the knowledge and mindset of being Corporate Social Entrepreneurs (CSE).EMBRACE (European Corporate Social Entrepreneurship (CSE)) is a three-year initiative funded within the framework of ERASMUS+, Knowledge Alliances programme. The project aims to promote CSE in HEI educational programmes and improve students’ competences, employability and attitudes contributing to the creation of new business opportunities dealing with social change inside companies as well as promoting collaboration among companies.This paper and presentation articulate the theory and methodology for establishing and Implementing the European CSE curriculum. Developing Corporate Social Entrepreneurship, entails identifying and developing a profile of Corporate Social Entrepreneurs, a competences framework and an European curriculum for CSE with the related competencies, skills and knowledge and a transversal learning pathway for HEIs.This curriculum is a vital catalyst resulting from a process of engaging a vast range of stakeholders and as a reflection of a society’s aspirations and vision for its future, involving a diversity of institutions and actors, and clearly focusing on the what, why and how of education. It is therefore crucial to ensure a wider policy dialogue around curriculum design and development, with the active inclusive involvement of an expanded range of actors beyond the traditional ones.The relatively new and undefined scope of CSE in HEI’s, industry and literature meant that there were few if any examples to help define what the contours of such curricula would look like. The fact that this curriculum is to serve the European HEI and enterprise arenas, meant that the European Frameworks and UNESCO materials were used as relevant sources of policy and knowledge to develop the EMBRACE CSE curriculum. There are numerous models and guidelines for curriculum development, each with its own merits. For the CSE methodology framework, two models and a set of guidelines were chosen because they are complementary and support the EMBRACE objectives: The Curriculum 4.0 guidelines and The Hanze UAS model for curriculum development. The combination of the two models led to the development and design of the EMBRACE model. As follows, the presentation/paper addresses the choices as to the design approach which are particularly relevant to all CSE curricula, as well as the definition of CSE competences and four CSE tracks (Novice, Intermediate, Professional and Expert).
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