Presents a methodology for applying Quality Function Deployment (QFD) for environmentally conscious design in the early stage of product development. This methodology has been developed by incorporating environmental ...
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The folding pathways and mechanisms of IgG binding domain of protein L composed of 62 residues are simulated by an over-damped Langevin dynamics with a coarse-grained chain representation. Physical oriented effective ...
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A power energy system normally consists of a number of power plants distributed over a wide area, connected by an electric power grid. Optimal operation of such a system involves the short-term load forecasting proble...
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A power energy system normally consists of a number of power plants distributed over a wide area, connected by an electric power grid. Optimal operation of such a system involves the short-term load forecasting problem, the unit commitment problem and the start-up scheduling problem. All these problems are highly nonlinear and the optimization problems contain a number of local optima, making them difficult to solve by the conventional "hard computing" techniques alone. Thus, an approach based on a fusion of different types of techniques is required. This paper presents an overview of a fusion of soft computing and hard computing techniques, which the authors have developed so far aiming at achieving an optimal load dispatch and automatic power plant start-up control system.
A Regular-Irregular Mixed meshing method has been developed for the solidification simulation of castings. In this method, the mold and cavity are enmeshed with regular and irregular elements, and the irregular elemen...
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A Regular-Irregular Mixed meshing method has been developed for the solidification simulation of castings. In this method, the mold and cavity are enmeshed with regular and irregular elements, and the irregular elements are only used for curved or inclined casting/mold boundary, resulting in better shape modeling than the regular meshing method. Furthermore the cost of calculation and storage in the mixed meshing method is low as compared with those in the irregular meshing method because the regular elements are used inside of the boundary. The discrete governing equations for the regular and irregular elements have been derived with the Direct Finite Difference Method (DFDM). Where, the implicit difference format was adopt6ed to avoid the small time step problem of irregular elements, and the implicit matrix equation was solved by using Incomplete Cholesky Conjugate Gradient (ICCG) method. Simulation results of temperature have been compared with those of other methods using iso-parametric elements, showing that the proposed method is a promising one.
The aim of our research is to simulate a thinking of Traditional medical practitioners in forming a prescription of Oriental traditional medicine based on the observed symptoms of the patient. In this paper;we focus o...
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Making an efficient algorithm for natural language understanding by means of flexible and cooperative interaction between syntactic analysis and semantic interpretation is very difficult. In order to overcome the diff...
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In heterogeneous environments, employing dynamic scheduling algorithms to improve performance of scientific applications via load balancing is essential. Presently, these algorithms require prior knowledge about workl...
In heterogeneous environments, employing dynamic scheduling algorithms to improve performance of scientific applications via load balancing is essential. Presently, these algorithms require prior knowledge about workl...
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In heterogeneous environments, employing dynamic scheduling algorithms to improve performance of scientific applications via load balancing is essential. Presently, these algorithms require prior knowledge about workload via profiling resulting in higher overhead as problem sizes and number of processors increase. In addition, variations in work load at runtime may be unpredictable, making profiling work tedious and sometimes even obsolete. Therefore, dynamic loop scheduling schemes such as Factoring, Fractiling, andWeighted Factoring have been proposed and proved to be extremely instrumental when used in scientific applications such as Monte-Carlo simulations, N-Body simulations, radar applications, and others. Adaptive Factoring, a technique that evolves from these schemes and addresses a wider range of irregularities has recently been proposed. This paper reports on performance improvements obtained by integrating the Adaptive Factoring, into a scientific application that invloves computational field simulation on unstructured grids. Performance of this scientific application using the implementation with Adaptive Factoring is compared with implementations using other dynamic loop scheduling techniques. Reported experimental results confirm the benefits of using the Adaptive Factoring and its high potential for a successful integration in other scientific applications, especially the ones characterized by highly irregular behaviour whose performance degradation is primarily due to load imbalance.
Production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) [P(3HB/V)], by fed-batch culture of recombinant Escherichia coli harboring a plasmid containing the Alcaligenes latus polyhydroxyalkanoate (PHA) biosynthesis ...
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Production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) [P(3HB/V)], by fed-batch culture of recombinant Escherichia coli harboring a plasmid containing the Alcaligenes latus polyhydroxyalkanoate (PHA) biosynthesis genes, was examined in two pilot-scale fermentors with air supply only. In a 30 L fermentor having a KLa value of 0.11 s-1, the final P(3HB/V) concentration and the P(3HB/V) content obtained were 29.6 g/L and 70.1 wt%, respectively, giving a productivity of 1.37 g P(3HB/V)/L-h. In a 300 L fermentor having a KLa of 0.03 s-1, the P(3HB/V) concentration and the P(3HB/V) content were 20.4 g/L and 69 wt%, respectively, giving a productivity of 1.06 g P(3HB/V)/L-h. These results suggest that economical production of P(3HB/V) is possible by fed-batch culture of recombinant E. coli in a large-scale fermentor having low KLa value.
We uncover a coherence resonance near the Hopf bifurcation from chaos in coupled chaotic oscillators. At the bifurcation, a nearly periodic rotating wave becomes stable as the state of synchronous chaos is destabilize...
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We uncover a coherence resonance near the Hopf bifurcation from chaos in coupled chaotic oscillators. At the bifurcation, a nearly periodic rotating wave becomes stable as the state of synchronous chaos is destabilized. We find that noise can induce the bifurcation and, more strikingly, it can enhance the temporal regularity of the wave pattern in the coupled system. This resonant phenomenon is expected to be robust and physically observable.
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