220 research outputs found

    3rd EGEE User Forum

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    We have organized this book in a sequence of chapters, each chapter associated with an application or technical theme introduced by an overview of the contents, and a summary of the main conclusions coming from the Forum for the chapter topic. The first chapter gathers all the plenary session keynote addresses, and following this there is a sequence of chapters covering the application flavoured sessions. These are followed by chapters with the flavour of Computer Science and Grid Technology. The final chapter covers the important number of practical demonstrations and posters exhibited at the Forum. Much of the work presented has a direct link to specific areas of Science, and so we have created a Science Index, presented below. In addition, at the end of this book, we provide a complete list of the institutes and countries involved in the User Forum

    Exploiting the Hard-Working DWARF: Trojan and Exploit Techniques Without Native Executable Code

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    The study of vulnerabilities and exploitation is one of finding mechanisms affecting the flow of computation and of finding new means to perform unexpected computation. In this paper we show the extent to which exception handling mechanisms as implemented and used by \gcc can be used to control program execution. We show that the data structures used to store exception handling information on UNIX-like systems actually contain Turing-complete bytecode, which is executed by a virtual machine during the course of exception unwinding and handling. We discuss how a malicious attacker could gain control over these structures and how such an attacker could utilize them once control has been achieved

    The suitabilty of conceptual graphs in strategic management accountancy

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    The hypothesis of the research is "conceptual graphs are a suitable knowledge-base decision support tool for use by managemenat ccountants in strategic planning", explained as follows. Knowledge-based approaches can help accountants apply their skills in the direction of strategic management problems. Such problem domains cannot be modelled effectively by computer alone, hence we are only interested in those advanced knowledge-based methodologies that can be adequately reviewed by strategic management accountants in the light of their own continually changing tacit and implicit knowledge. Structured diagram techniques, such as flowcharting, are well known by accountants and are a clearly understandable yet important aid in problem review. Apart from being founded on a logically complete reasoning system, the knowledge-based methodology of conceptual graphs was formulated to be an enhancement of these other methods. Furthermore the graphical form of conceptual graphs enjoy an apparent similarity to the 'negating' brackets in the accountant's traditional bookkeeping model. After conducting a comparative study with two similar methodologies in current use showing the technical advantages of conceptual graphs, the Conceptual Analysis and Review Environment computer software was devised and implemented. CARE was used to test the - accepted graphical form of conceptual graphs through a series of user evaluation sessions. The evaluations started out with subjects from the conceptual graphs community itself, then key business school staff, and culminated in a session with senior practising accountants. In addition, CARE was enhanced iteratively in accordance with the results of each evaluation session. Despite their strong prima facie attractiveness and positive response from the conceptual graphs community session, as the user evaluations progressed it became increasingly evident that the inherent complexity of conceptual graphs fundamentally undern-tined them as a viable tool, other than for very trivial problems well below the level needed to be viable for strategic management accountancy. Therefore the original contribution of this research is that its hypothesis turns out to be false

    Accounting information for operations management decisions

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    Collaboration in Performing Arts

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    __Abstract__ As a result of declining government support, performing arts organisations (PAOs) face increased challenges and difficulties in the sector. They attempt to develop new ways of generating income and seek new models of organising the production and presentation of performing arts. Hereby, we can think of collaboration and integration as horizontal and vertical within the production chain of performing arts. There are various reasons for cultural organisations to decide upon collaboration, such as increasing organisational capacity, engaging new audience and building organisational networks (Ostrower, 2005). Other reasons for deciding upon collaboration are economies of scale and stronger profiling of the performing arts organisation. Collaboration intensifies knowledge, thus the performing arts market becomes more dynamic and there is more room for experimentation. The issue or threat, however, is that not all collaboration processes are successful. According to Kottler and Scheff (1996), the organisation needs to meet several conditions in order to build an efficient collaboration: one has to set a goal-building consensus, build trust, communicate, design leadership and involvement structures, and commit adequate resources. These are the fundamental conditions but during the process of collaboration there are other issues that need to be considered. A frequent threat is that parties often have different motives to collaborate. For example, for commercial organisations the motive could be generating more profit whereas for non-profit art organisations, especially in these times, collaboration means survival. A related issue is whether collaboration aimed at surviving is a good motive for collaboration formation. Moreover, fear may exist of losing an organisation’s identity or artistic autonomy, employees may become anxious, the coordination costs might increase and parties may need additional resources and time to establish such a project. Backer (2003) summarises this dilemma in the following question: ‘How can parties control the collaboration in an efficient way while at the same time meeting their main objectives and guarding their own artistic identity?

    Unmet goals of tracking: within-track heterogeneity of students' expectations for

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    Educational systems are often characterized by some form(s) of ability grouping, like tracking. Although substantial variation in the implementation of these practices exists, it is always the aim to improve teaching efficiency by creating homogeneous groups of students in terms of capabilities and performances as well as expected pathways. If students’ expected pathways (university, graduate school, or working) are in line with the goals of tracking, one might presume that these expectations are rather homogeneous within tracks and heterogeneous between tracks. In Flanders (the northern region of Belgium), the educational system consists of four tracks. Many students start out in the most prestigious, academic track. If they fail to gain the necessary credentials, they move to the less esteemed technical and vocational tracks. Therefore, the educational system has been called a 'cascade system'. We presume that this cascade system creates homogeneous expectations in the academic track, though heterogeneous expectations in the technical and vocational tracks. We use data from the International Study of City Youth (ISCY), gathered during the 2013-2014 school year from 2354 pupils of the tenth grade across 30 secondary schools in the city of Ghent, Flanders. Preliminary results suggest that the technical and vocational tracks show more heterogeneity in student’s expectations than the academic track. If tracking does not fulfill the desired goals in some tracks, tracking practices should be questioned as tracking occurs along social and ethnic lines, causing social inequality

    Transaction Machines – The Infrastructure of Financial Markets

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    This thesis describes financial markets as complex machines in the broader sense, as systems for organizing informational flows and performing certain functions in regards to the processing of transactions. We focus on the transaction infrastructure of financial markets, on the flow architecture that allows transactions to happen in the first place. First, in order for a financial market to function there needs to be some mechanism for aggregating and matching disparate transactional requests. Another mechanism is then needed in order to untangle and reduce the complexity of overlapping exposures between participants. The history of finance shows us that there are indeed certain patterns and regularities, procedures and mechanisms present in any system that processes financial transactions. The thesis describes this sequence of functions as transaction machines, understood as complex socio-technical systems for the execution of financial transactions. This is achieved by leveraging a specific philosophical account of technology coupled with a computational and evolutionary account of financial markets. We ultimately focus two types of transaction machines, performing the matching and clearing of financial flows, acting as the infrastructure of financial markets. We also provide a sketch for an evolutionary trajectory of these machines, evolving under the demands and needs of marker participants. From medieval fairs to the millisecond electronic platforms of today, transaction machines have gradually transitioned from human-based ‘hardware’ to electronic automated platforms. Moreover, we also describe the complex power dynamics of contemporary transaction machines. In as much as they are the dominant hubs of global financial markets, the thesis argues for the necessity of a more granular account of the functioning and evolution of transaction machines
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