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Network multimodal

Ham H, Kim TJ, Boyce D (2005) Implementation and estimation of a combined model of interregional, multimodal commodity shipments and transportation network flows. Transportation Research Part B (39) 65-79... [Pg.267]

At this level of approximation, the problem is to invert the Fredholm integral of eq. (1) or (2). This is an ill-posed problem in general. The usual method of solution is to assign a functional form to the distribution function (//) otJ[s), such as a multimodal gamma distribution, and then fit the parameters in this function to a least squares match to the experimental isotherm. In addition to limiting the treatment to only one kind of heterogeneity, eqs. (1) and (2) omit any effects of networking or pore connectivity. [Pg.41]

As the problem is multimodal, not derivable and involves many binary variables, the sensor network optimization is done by means of a genetic algorithm (Goldberg [3]). Indeed, the efficiency of this optimization algorithm has been proved for similar problems, such as the design of efficient sensor networks for data reconciliation (Gerkens [2]). [Pg.355]

In one common method used with multimode fibres (Paik and Sung, 1994, Powell et al., 1995, 1998), the cladding is stripped from the optical fibre and the polymerizing network is sensed by the evanescent wave (Figure 3.43). [Pg.266]

Chiou CN and VO.K.Li, Reliability analysis of a conununica-tion network with multimode components, IEEE journal on selected areas in communications, vol.SAC-4, No 7 (1986). [Pg.125]

D. Hidalgo, O. Castillo, P. MeUn, Type-1 and type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimization with genetic algorithms. Inf. Sd. 179, 2123-2145 (2009)... [Pg.4]

Multimodal networks represent a method to determine the effect of network chain-length distribution - on rubberlike elasticity. Chain-length distribution has not received much attention even though manipulation of the chain-length distribution can give large improvements in mechanical properties. There are two primary reasons for this... [Pg.160]

Mark, J. E., Elastomers with Multimodal Distributions of Network Chain Lengths. Macromol. Symp., St. Petersburg issue 2003,191,121-130. [Pg.191]

Goering, H. Kruger, H. Bauer, M., Multimodal Polymer Networks Design and Characterisation of Nanoheterogeneous PU Elastomers. Macromol. Mater. Eng. 2000,278, 23-25. [Pg.192]

Viers, B. D. Mark, J. E., Elastomeric Properties of Polysiloxane Networks. Bimodal Elastomers That Are Spatially Inhomogeneous and Others That Are Very Broadly Multimodal. J. Macro. Sci., PureAppl. Chem. 2007,44,131-138. [Pg.193]

The use of hybrid cables containing single-mode and multimode fibers is recommended for interbuilding backbone networks. In a hybrid cable, single-mode and multimode fibers are placed in different buffer tubes or bundles within the same cable. This provides easy identification at splice points and allows termination into separate panels at cross-connect points. Additionally, use of hybrid cables reduces installation costs... [Pg.1005]

This particular example, although while not uncommon, did employ an extensive list of requirements. It is recommended that at least a 24—iS multimode fiber interbuilding backbone be considered, plus an additional 6-12 single-mode fibers. In large campus networks that may utilize an hierarchical star or ring interbuilding backbone, the designer/user should consider the fiber count requirements for the main backbone separate from the secondary backbone. [Pg.1009]

In this chapter, we first describe the stmcture of networks, followed by the discussion of the simple classical models of elasticity and the more advanced theories such as the constraint and the tube models. We also give the molecular interpretation of coefficients obtained from the phenomenological theories. Some simulations relevant to mbberlike elasticity are then described, followed by a discussion of responsive gels because of their increasing interest to many groups. We then discuss the thermoelastic (force-temperature) behavior of networks, followed by the information on multimodal networks, liquid-crystalline (LG) elastomers, novel reinforcing fillers, and characterization methods. [Pg.182]


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See also in sourсe #XX -- [ Pg.160 ]




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