Virtual Learning Environment (VLE) plays an important role as the online platform for education in recent years. Due to the significant increase of the shift of focus in utilizing VLE in comparing to the traditional l...
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Ant Colony Optimization (ACO) is a metaheuristic that has been used to solve variety of optimization problems. In this paper, an ACO approach is proposed to solve the Multidimensional Knapsack Problem (MKP). The algor...
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Having prior road condition knowledge for planned or unplanned journeys will be beneficial in terms of not only time but potentially cost. Being able to obtain real-time information will further enhance these benefits...
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ISBN:
(纸本)9781849195508
Having prior road condition knowledge for planned or unplanned journeys will be beneficial in terms of not only time but potentially cost. Being able to obtain real-time information will further enhance these benefits. Current systems rely on huge infrastructure investments by governments to install cameras, road sensors and billboards to keep motorists informed. These efforts can only be, at best, available at pre-identified hotspots. Radio broadcast is an alternative, where they rely on reports by other motorists. However, such reports are often delayed and not tailored to individual motorist. Seeing the limitations of existing approaches to obtain real-time road conditions, this research work leverages on mobile devices that provide context sensitive information to propose a predictive analytics framework based on a Bayesian Network for road condition prediction. This paper aims to contribute to (i) defining a set of evidences (variables) that could potentially be utilized for road condition prediction and (ii) construction of a Bayesian Network model to predict road conditions. In conclusion, we presented a novel approach to provide potentially unlimited coverage of road traffic conditions with substantially reduced infrastructure investments.
The paper presents the WiAntHocNet routing algorithm for mobile WiMAX, which combines ideas from Ant Colony Optimization (ACO) routing with techniques taken from more traditional routing algorithms. The algorithm has ...
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In this paper, we propose an Artificial Bee Colony (ABC) algorithm, a swarm-based artificial intelligence algorithm, for computing a connected dominating set (CDS) in ad hoc wireless networks, which include mobile ad ...
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Social network is a term used to represent a large group of activities using the web and mobile technologies. The micro blogging social networks provide an appropriate ground for the users to explain themselves and ex...
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We couple different flow models,i.e.a finite element solver for the Navier-Stokes equations and a Lattice Boltzmann automaton,using the framework Peano as a common *** new coupling strategy between the meso-and macros...
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We couple different flow models,i.e.a finite element solver for the Navier-Stokes equations and a Lattice Boltzmann automaton,using the framework Peano as a common *** new coupling strategy between the meso-and macroscopic solver is presented and validated in a 2D channel flow *** results are in good agreement with theory and results obtained in similar works by Latt et *** addition,the test scenarios show an improved stability of the coupledmethod compared to pure Lattice Boltzmann simulations.
A platform design for the analysis of human myoelectric signals (MES) is presented. Offline recorded multichannel signals of forearm muscles are processed with a Field Programmable SoC in order to classify different m...
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The inverse and reverse counterparts of the single-machine scheduling problem 1||Lmax are studied in [2], in which the complexity classification is provided for various combinations of adjustable parameters (due dates...
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This workshop explores future research directions towards a better categorization and comparison of IDN works, with the objective of a more adequate understanding of this evolving field. In such a multidisciplinary ar...
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