Papers by Keyword: Self-Organization

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.

Abstract: According to the traditional UMDH network modeling with the least square method to recognize parameters ,it's easy to fall into local minimum ,and with the result that the prediction effect is not ideal. This paper puts forward to combine the simulated annealing algorithm and genetic algorithm, and introduces the combined algorithm to the UMDH network which is used to identify some of its description type coefficient. In this paper ,it describes the simulated annealing genetic algorithm ,and constructs the UMDH network model based on this algorithm, and the model is applied to the simulation of debris flow prediction research ,forecast average relative error reached 3. 54%. The results show that the algorithm not only ensuring the global optimization but also preventing premature convergence, improve the UMDH network model of global and local searching optimal ability further.

Abstract: In order to avoid enterprise information system (EIS) risk, the self-organization mechanism of EIS based on complex adaptive system (CAS) is studied. Firstly, self-organization properties of EIS are analyzed, which include open system, nonlinear characteristics, far from equilibrium and fluctuations. Secondly, the complex properties and complex adaptive properties of EIS self-organization are studied. The complex properties include multi-agent, active adaptation of agents, multi-level nature, technology complexity, organizational complexity, process complexity and environment complexity. The complex adaptive properties include aggregation mechanism, identification mechanism, non-linear characteristics flow characteristics, diversity characteristics, internal model mechanism and block characteristics. Finally, architecture model of EIS self-organization is proposed as well as its macro and micro models, which provides a new perspective for EIS and helps understand the rules of EIS implementation.

Abstract: The action flux of ions of inert gas on the substratum Si (100) leads to porosity into the crystal lattice and self-organization of these defects. The kinetic stochastic model of the phase transition at the initial stage is applied to find distributions of defects in sizes and on their coordinates in the layers. The accumulation of stress is determined by computer simulation. Layers of pores and cracks precede to solid state epitaxy of silicon carbide.

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

Abstract: It is valuable to be researched in the application of science of complexity to the forest ecosystem. Forest ecosystem is an adaptive complex system which is suggested to be at the edge of chaos or at the criticality. The inner interaction of a forest ecosystem is the main driving force for the self-organization, complexity and order in the forest ecosystem. Forest ecosystem complexity is one of the research frontiers of ecological and evolutionary problems presently. The application of science of complexity to the forest ecosystem complexity studies, its concept, background, methodology and theory are briefly introduced. The forest ecosystem complexity is defined as the structure and function diversity, self-organization and the order of an ecosystem. Its main methods include the cellular automaton, genetic algorithm, game theory, complex network, etc. This paper has discussed mechanism and development of forest ecosystem complexity, by applying the principle and methods of science of complexity, which is a new approach for understanding ecological and evolutionary problems.

Abstract: In this paper, we have inspected the structural morphology of novel composite materials - transition metal (TM) (Ni, Ti) / fullerene (C60) thin films, prepared at room temperature (RT) or 500°C, and modified by ion-irradiation and/or thermal annealing. The hybrid films were synthesized by alternative or simultaneous deposition of the immiscible TM and C60 phases. As deposited (at RT) the hybrid systems were thermodynamically unstable and the internal stress induced lengthy phase separation. Co-deposition at 500°C resulted in the formation of a large-scale pattern structure. By high temperature annealing of the multilayer’s a new morphology could be synthesized. In addition, high-fluence ion-irradiation induces C60 fragmentation that has a strong impact on the final shaping of the resulted morphology.

Abstract: The objective of the present work is to study tribological properties of multilayered wear resistant coatings on the cutting tools. Two types of coatings (TiAl)N were studied: normal monolayer coating and improved coating. The tests were conducted with cooling, and without it. During high speed machining an intensive tribo-oxidation of tool surface occurs. Formation of aluminum oxide films on the surface of cutting tool significantly changes the heat flow and heat dissipation into the chip. Conditions of the chips formation (chip thickness ratio and the shear plane angle) and the coefficient of friction on the rake face of the cutting tool have been measured during the cutting process. The results demonstrated significant improvement of tribological parameters for the cutting tools with filtered coatings.

Abstract: After analyzing the characteristic and present situation of design organization, this paper presented a new design organization—fractal design organization(FDO) based on fractal theory. FDO can be self similarity and self-organization, satisfy the design work. Therefore it can motivate creating potential of design organization, complete design task and beat the enterprise’s target.

Abstract: In this study, carbon nanotubes (CNTs) are anticipated as nano/micro structured reaction field for micro Bio-Analysis. CNTs reaction field were made on quartz glass substrate using chemical vapor deposition and Self-Organization of CNTs. To evaluate and reveal the optimal structure of CNTs structure, protein adsorption characteristics were evaluated by fluorescence and transmitting spectroscopy analysis. By fluorescence analysis, it is revealed that proteins tend to adsorb to tip of CNTs structure and finer structure. Finally, protein adsorption was detected as a change of transmissivity of CNTs reaction field, and its detection limit was about 100 nmol/l. Time for analysis was greatly shortened by using transmitting spectroscopy.