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Simulation optimization is often applied to solve large-scale complex systems problems in which high-fidelity simulation models are usually complex and time-consuming to run. As a result, the number of objective function evaluations is often very limited and presents a major hurdle for optimization. Recently, a new multi-fidelity optimization framework referred to as ordinal transformation was proposed...
Image Super-resolution (SR) reconstruction techniques based on sparse representation have attracted ever-increasing attentions in recent years, where the choice of over-complete dictionary is of prime important for reconstruction quality. However, most of the image SR methods based on sparse representation fail to consider the discrimination and the redundance of the dictionaries, which lead to obvious...
Simulation models of different levels of fidelity are often available for evaluating alternative solutions of a complex system. High-fidelity simulations generate accurate predictions but can be very time-consuming to run. Therefore, they can only be applied to a small number of solutions. Low-fidelity simulations are much faster and can evaluate a large number of solutions. But simulation results...
We consider a cellular network where intelligent cellular devices owned by selfish users are incentivized to cooperate with each other by using tokens, which they exchange electronically to “buy” and “sell” downlink relay services, thereby increasing the network's capacity. We endow each device with the ability to learn its optimal cooperation strategy online in order to maximize its long-term utility...
Peer-to-Peer (P2P) networking is beneficial when removing a centralized server. On the other hand, new mechanisms are required to compensate for the central authority, especially for network security and dependability. In this paper, we propose a new fuzzy reputation (Fuzzy-Rep) model to improve security and dependability of P2P e-commerce. The model employs fuzzy logic inference rules to assess transactions...
Efficient resource search in large-scale unstructured peer-to-peer (P2P) systems remains a fundamental challenge. In order to improve search performance, interest-based search is a good way to tackle the challenge. However, the existing interest-based search algorithms pay attention to user interest model and search history, but ignore some influence factors of improving performance. In this paper,...
This paper considers precoding schemes in physical network coded two-way MIMO relay channels. We propose a lattice reduction aided Tomlinson-Harashima Precoding(THP) scheme at first, and compare it with the existing amplify-and-forward (AF) scheme zero-forcing (ZF) schemes traditional decode-and-forward (DF) scheme and network coding (NC) scheme. Simulations show that the proposed scheme outperforms...
In social networks, people can directly contact some acquaintances that potentially have knowledge about the resources they are looking for. Similarly to social networks, where people are connected by their social relationships, two autonomous peer nodes can be connected in unstructured peer-to-peer (P2P) networks if users in those nodes are interested in each other's data. The similarity between...
To improve work efficiency of the coning, drawing and twisting workshop, reduce labor cost of the textile enterprise, on-line monitoring and control of production yield and machine operating status become very important. According to the information construction requirements of the textile enterprise, firstly, we set up the structure frame diagram through LAN, adapt network distributed structure based...
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