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This paper presents an unbalanced overview of existing Enterprise Resource Planning (ERP) research by reassessing the body of knowledge and emphasising future research directions that need to be pursued in an attempt to fill knowledge gaps and bridge the existing gap between practitioners and academia. To fulfil this objective, nine leading international IS publications covering the period of 2006

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This study aims to: (1) identify some of the active and latent conditions that allow maritime security incidents to occur, and (2) explore the feasibility of adapting the Rasmussen-Svedung AcciMap as a tool for maritime security management. These twin objectives are pursued by applying concepts and principles, propounded by Rasmussen and Svedung, to a case study of the 1999 hijacking of the Alondr

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Let v be a vertex with n edges incident to it, such that the n edges partition an infinitesimally small circle C around v into convex pieces. The minimum local convex partition (MLCP) problem asks for two or three out of the n edges that still partition C into convex pieces and that are of minimum total length. We present an optimal algorithm solving the problem in linear time if the edges inciden

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The simultaneous localization and mapping problem is approached by using an ultrasound sensor and wheel encoders. To be able to account for the low precision inherent in ultrasound sensors, the occupancy grid notion is extended. The extension takes into consideration with which angle the sensor is pointing, to compensate for the issue that an object is not necessarily detectable from all position

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A mathematical model is developed with the purpose of estimating the scale of permanent magnet materials consumption in hybrid and electric automotive traction systems. These estimations are compared to consumption figures from industries such as wind power, HVAC, consumer electronics and industrial machinery. The estimations generated are useful in strategic decision-making for production planning

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The lattice decoder is shown to approach the performance of Maximum-likelihood decoder for MIMO wireless systems with low complexity. A VLSI architecture of the K-best Schnorr-Euchner lattice decoder is proposed in this paper. The architecture is optimized on both algorithm and architecture levels, and supports a dynamic range of SNR [less-than or equal to] 30 dB. Compared to a conventional VLSI i