By Alan C. Bovik, Chang Wen Chen, Dmitry B. Goldgof, Thomas S. Huang
Directed in the direction of photograph processing researchers, together with educational school, graduate scholars and researchers, in addition to towards pros operating in software components.
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Additional info for Advances in image processing and understanding: A festschrift for T.S. Huang
Similarly, Zheng and Jacobs  proposed a ﬁrst-order population model for the SA of hybrid microsystems, which does not, however, 26 2 Background account for the reversibility of the process. Recently, Mastrangeli et al.  reported an Agent-Based Model (ABM) of the same process, thereby accounting for both the low copy numbers of the system and some important features such as spatiality and suboptimal mixing. ) also proved useful in studying self-assembling systems, especially for investigating large-scale systems that are diﬃcult to study experimentally .
Summary and Conclusion This chapter provides a thorough review of the literature relevant to this thesis as well as a brief reminder of the key concepts in distributed robotics. In essence, the essential motivation for using multi-robot systems comes from the need for eﬃciency, robustness, scalability, and adaptivity. Such requirements arise in particular in scenarios that require very high reliability, or that involve robots much smaller than the environment in which they operate. However, these appealing features come at the price of an increased complexity in terms of design, control, and modeling.
4 Case Study IV: Self-assembly of Lily Modules 47 where k+ and k− are the forward and backward rate constants, respectively, and EB is the mean energy of the particles in the system, if they are thermally randomized to the Maxwell-Boltzmann distribution. One can interpret the rate constants k+ and k− as probabilities of bond formation and destruction. We assume that all collisions lead to an aggregation regardless of the energy of the formed bond, which is similar to setting k+ = 1. Therefore, the probability that one bond of energy ΔE will break up in the next time interval [t, t + T ] can be written: pleave ≡ k− · T = exp ΔE EB · T.