This paper summarizes the fourth Evaluating Collaborative Enterprises (ECE) workshop, held as part of the 12th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaboration conference (WETICE...
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This paper summarizes the fourth Evaluating Collaborative Enterprises (ECE) workshop, held as part of the 12th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaboration conference (WETICE 2003), at the Johann Keppler University, Linz, Austria. This paper introduces the seven papers presented and summarizes the presentations and ensuing discussions of the participants of the ECE workshop. In addition to the discussions following the papers, a panel session was held. This report sets the scene by summarizing the development of the Evaluation workshops over the past four years, and assesses the current state of practice in Evaluation of Collaborative Enterprises. Paper topics in this workshop addressed evaluation at different stages of the development process and evaluation methodologies at groupware evaluation. Discussion addressed effectiveness measurement, selection of appropriate instruments and different perspectives from group members.
The presence and positions of purely-long-range bound states of4He(2s3S)+4(2p3P) near the 2s3S1+2p3P0.1atomic limit was studied. The results of the full multichannel and approximate models were compared. It was found ...
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The presence and positions of purely-long-range bound states of4He(2s3S)+4(2p3P) near the 2s3S1+2p3P0.1atomic limit was studied. The results of the full multichannel and approximate models were compared. It was found that the purely-long-range bound states were independent of the short-range form of the interaction potentials.
As the Black-sch.les equation can be transformed into the one-dimensional linear heat equation via two sets of transformations, an optimal system of one- -dimensional subalgebras for the one-dimensional heat equation ...
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As the Black-sch.les equation can be transformed into the one-dimensional linear heat equation via two sets of transformations, an optimal system of one- -dimensional subalgebras for the one-dimensional heat equation is exploited to obtain two classes of optimal systems of one-dimensional subalgebras for the well-known Black-sch.les equation of the math.matics of finance. Two methods for the derivation of the two classes of optimal systems of group-invariant solutions for this model are available. We present the simpler approach.
An optical fibre has been used as an intensity-based sensor for the monitoring of the fluid front infiltrating a reinforcing fibre mat in composites manufacturing. The sensor length comprised the fibre core, initially...
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An optical fibre has been used as an intensity-based sensor for the monitoring of the fluid front infiltrating a reinforcing fibre mat in composites manufacturing. The sensor length comprised the fibre core, initially surrounded by air or vacuum and subsequently covered by the infiltrating fluid. Two configurations were tested where a step-change or a continual output signal was obtained, respectively. In the latter case, the sensor used in this study demonstrates an improvement of up to two orders of magnitude over conventional monitoring techniques used for this application. This performance is coupled with more obvious advantages of low cost, compatibility with composite fabrication, and ease of use.
We study the resonant dynamics of a two-degree-of-freedom system composed a linear oscillator weakly coupled to a strongly nonlinear one, with an essential (nonlinearizable) cubic stiffness nonlinearity. For the undam...
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We study the resonant dynamics of a two-degree-of-freedom system composed a linear oscillator weakly coupled to a strongly nonlinear one, with an essential (nonlinearizable) cubic stiffness nonlinearity. For the undamped system this leads to a series of internal resonances, depending on the level of (conserved) total energy of oscillation. We study in detail the 1:1 internal resonance, and show that the undamped system possesses stable and unstable synchronous periodic motions (nonlinear normal modes - NNMs), as well as, asynchronous periodic motions (elliptic orbits - EOs). Furthermore, we show that when damping is introduced certain NNMs produce resonance capture phenomena, where a trajectory of the damped dynamics gets 'captured' in the neighborhood of a damped NNM before 'escaping' and becoming an oscillation with exponentially decaying amplitude. In turn, these resonance captures may lead to passive nonlinear energy pumping phenomena from the linear to the nonlinear oscillator. Thus, sustained resonance capture appears to provide a dynamical mechanism for passively transferring energy from one part of the system to another, in a one-way, irreversible fashion. Numerical integrations confirm the analytical predictions.
A quiet transformation has taken place in health related research in the last twenty-five years. This transformation can be traced to the coming of age of new scientific domains like bioinformatics and cybernetics whi...
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A quiet transformation has taken place in health related research in the last twenty-five years. This transformation can be traced to the coming of age of new scientific domains like bioinformatics and cybernetics which have evolved thanks to trans-disciplinary research. The success of the human genome project is perhaps the most significant pointer of this silent transformation. We believe that in the future, as a result of synergistic interaction between bioinformatics and other paradigms, healthcare systems would have an increased interest in knowledge recycling of the collaborative learning process acquired from practices. In this context, the knowledge management (KM) paradigm could assist twenty-first century clinical practitioners to acquire proficiency in understanding and interpreting clinical information so as to attain knowledge and wisdom whilst dealing with large amounts of clinical data.
This paper presents a practical evaluation and comparison of three state-of-the-art parallel functional languages. The evaluation is based on implementations of three typical symbolic computation programs, with perfor...
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This paper presents a practical evaluation and comparison of three state-of-the-art parallel functional languages. The evaluation is based on implementations of three typical symbolic computation programs, with performance measured on a Beowulf-class parallel architecture. We assess three mature parallel functional languages: PMLS, a system for implicitly parallel execution of ML programs;GpH, a mainly implicit parallel extension of Haskell;and Eden, a more explicit parallel extension of Haskell designed for both distributed and parallel execution. While all three languages employ a completely implicit approach to communication, each language takes a different approach to specifying and controlling parallelism, ranging from explicit identification of processes as language constructs (Eden) through annotation of potential parallelism (GPH) to automatic detection of parallel skeletons in sequential code (PMLS). We present detailed performance measurements of all three systems on a widely available parallel architecture: a Beowulf cluster of low-cost commodity workstations. We use three representative symbolic applications: a matrix multiplication algorithm, an exact linear system solver, and a simple ray-tracer. Our results show how moderate speedups can be achieved with little or no changes to the sequential code, and that parallel performance can be significantly improved even within our high-level model of parallel functional programming by controlling key aspects of the program such as load distribution and thread granularity.
The effects of wet-milling mixtures of α-Fe2O3 and cobalt hydroxide Co(OH)2 over a range of Co/Fe ratios for 215 h have been investigated by neutron diffraction and Mössbauer spectroscopy. The starting materials...
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The effects of wet-milling mixtures of α-Fe2O3 and cobalt hydroxide Co(OH)2 over a range of Co/Fe ratios for 215 h have been investigated by neutron diffraction and Mössbauer spectroscopy. The starting materials were mixed according to the stoichiometric formula (CoxFe1-x)3O4 for values of x = 0.037, 0.071, 0.133, 0.234 and 0.380 (i.e., from Co0.1Fe 2.9O4 to the cobalt spinel CoFe2O4). These studies reveal the formation of a nanostructured, mixed Co-Fe spinel phase with non-stoichiometric composition (CoxFe1-x) 3-yO4;the defect spinels have refined values x c = 0.04, 0.08 and 0.14 for the mixtures with the lowest Co content (x = 0.037, 0.071 and 0.133) and defect concentrations in the range y 0.1-0.2. Both the spinel phase and un-reacted α-Fe2O 3 are found to occur in the neutron diffraction patterns and Mössbauer spectra for the high Co content mixtures x = 0.234 and x = 0.380. Rietveld refinements of the neutron data indicate that the Co atoms predominantly occupy the octahedral B sites with vacancies also found to be located on the octahedral B sites. Analyses of the Mössbauer spectra of the milled samples confirm the existence of vacancy defects in the B sites and reveal that the vacancies cause similar effects to those of the Co ions, leading to a higher average charge state per iron atom.
In this paper, we consider the problem of computing the Betti numbers of an arrangement of n compact semi-algebraic sets, S1,..., Sn ⊂ k, where each Si is described using a constant number of polynomials with degrees ...
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In this paper, we consider the problem of computing the Betti numbers of an arrangement of n compact semi-algebraic sets, S1,..., Sn ⊂ k, where each Si is described using a constant number of polynomials with degrees bounded by a constant. Such arrangements are ubiquitous in computational geometry. We give an algorithm for computing -th Betti number, β(∪iSi), 0 ≤ ≤ k - 1, using O(n+2) algebraic operations. Additionally, one has to perform linear algebra on matrices of size bounded by O(n+1). All previous algorithms for computing the Betti numbers of arrangements, triangulated the arrangement giving rise to a complex of size O(n2k) in the worst case. To our knowledge this is the first algorithm for computing β(∪iSi) that does not rely on such a global triangulation, and has a graded complexity which depends on .
The non-linear dynamics of a chaotic attractor offer a number of useful features to the developer of neuromorphic systems. Included in these is the ability for efficient memory storage and recall. A chaotic attractor ...
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The non-linear dynamics of a chaotic attractor offer a number of useful features to the developer of neuromorphic systems. Included in these is the ability for efficient memory storage and recall. A chaotic attractor has a potentially infinite number of Unstable Periodic Orbits (UPO) embedded within it. These orbits can be stabilised with the application of delayed feedback inhibition. This research investigates the possibility of using such delayed feedback in a network to stabiles different UPOs in response to disparate input stimuli. A key feature of the models presented is that the UPOs, which correspond to dynamic memory states, emerge from the dynamics of the attractor. The paper presents two learning rules which support the network dynamics from which the memory states emerge.
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