Papers by Keyword: Self-Organization

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Authors: Kseniia N. Grafskaia, Denis V. Anokhin, Jaime J. Hernandez Rueda, Dmitriy A. Ivanov
Abstract: In present work a new setup for in situ studies of molecular self-assembling process for fabrication of ion-conducting membranes for “green” fuel cells was developed. Due to compactness, this unique setup can be used on the synchrotron beamlines. The GISAXS and optical microscopy data have shown the effectiveness of the control of molecular architecture by impact of high temperature, UV-irradiation and solvent vapors.
Authors: Ji Fu Non
Abstract: We propose a new self-organizing neural model that performs principal components analysis. It is also related to the adaptive subspace self-organizing map (ASSOM) network, but its training equations are simpler. Experimental results are reported, which show that the new model has better performance than the ASSOM network.
Authors: Wei Peng Wang
Abstract: This paper used the tool of system dynamics to build an evolutionary model of self-organization for the supply chain collaboration. By solving and the analysis of applications, we know that the two order parameters of supply chain collaboration and profitability determine the self-organized evolution of the system. If the supply chain collaboration has not reached the critical region, the deviation caused by random fluctuations will continue to decay until it disappears, and finally return to the original state. When the system parameters meet to the conditions of non-stability, random fluctuations will lead to the changes of the orderly structure of the system. The model reveals the evolutionary processes and nature of supply chain collaboration, and provides a basis for the development of the supply chain enterprises
Authors: Ernesto Mastrocinque, Baris Yuce, Alfredo Lambiase, Michael S. Packianather
Abstract: This paper proposes a novel System of Systems (SoSs) framework in order to design and optimise Supply Chains (SCs). In this paper the characteristics of System of Systems and Supply Chains have been discussed and a similarity match has been made between the two. It is interesting to note that although some of these SoSs characteristics are intrinsic in nature of the SCs others such as evolutionary behaviour and self-organization need to be modelled. In this paper, an adaptive supply chain multi-level multi-objective optimisation framework has been proposed in order to have both evolutionary and self-organized behaviour. This framework is capable of performing both local and global optimisation and adaptation to different scenarios.
Authors: Tao Liang
Abstract: This article analyses the formation mechanism of local cluster of enterprises based on self-organization. First, it explains the meanings of formation mechanism of local cluster of enterprises, then analyses the prerequisite to form local cluster of enterprises, and then, concludes the formation mechanism of local cluster of enterprises, finally, advises the government how to form a local cluster of enterprises.
Authors: Wolfgang Banzhaf
Abstract: In this contribution we consider constructive dynamical systems, taking one particular Artificial Chemistry as an example. We argue that constructive dynamical systems are in fact widespread in combinatorial spaces of Artificial Chemistries.
Authors: Qun Wu
Abstract: Cluster supply chain network as a new organizational system, which co-opetition is different from general enterprises and single supply chains because of their determined structural features and operational characteristics. There are single-chain co-opetition and cross-links dynamics co-opetition in cluster supply chain network organization. It analyzes cross-links non-cooperative game and cooperative game of two third-order supply chains through the expansion research of Cournot game. The results indicate that supply chain cooperative game is the best option for supply chain win-win.
Authors: Francesco Ruffino, Filippo Giannazzo, Fabrizio Roccaforte, Vito Raineri, Maria Grazia Grimaldi
Abstract: In this work, a methodology, based on a self-organization process, to form gold nanoclusters on the 6H-SiC surface, is illustrated. By scanning electron microscopy and atomic force microscopy the gold self-organization induced by annealing processes was studied and modelled by classical limited surface diffusion ripening theories. These studies allowed us to fabricate Au nanoclusres/SiC nanostructured materials with tunable structural properties. The local electrical properties of such a nanostructured material were probed, by conductive atomic force microscopy collecting high statistics of I-V curves. The main observed result was the Schottky barrier height (SBH) dependence on the cluster size. This behaviour is interpreted considering the physics of few electron quantum dots merged with the ballistic transport. A quite satisfying agreement between the theoretical forecast behaviour and the experimental data has been found.
Authors: Masanori Kikuchi, Tsunemasa Taguchi, Hiroshi Matsumoto, M. Tanaka, Kazuo Takakuda
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