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We consider odor-plume tracing using a multi-robot system in indoor natural airflow environments. The purpose of odor-plume tracing is to approach the odor source via following the found plume with mobile robot(s). Owing to the chaotic nature of the odor transport in the atmosphere, tracing the resultant patchy meandering plume down to its source is thus not a trivial task. A novel multi-robot based...
To handle the challenge of increasing node size in wavelength routing networks (WRNs), waveband switching (WBS) is introduced to group multiple wavelengths together as a band or fiber and switch them using a single port whenever possible. Literature studies with the off-line traffic confirm that WBS can effectively reduce the port count and cost as well as control complexity. In the cases with online...
This work proposes an adaptive routing scheme based on ant optimization techniques and novel graph-based waveband assignment algorithm to accommodate and group online lightpath requests while minimizing the blocking and resources usages in WDM networks.
The converting of tacit knowledge is the key of enterprise knowledge management. It facilitates the knowledge transferring between the contractor and subcontractors. Based on the difficulties in the process of knowledge transfer, this paper has focused on the manifesting the implicit knowledge by using the comparisons method. This paper emphatically introduces a series of institutional innovations...
This article provides a theory which is based on the fuzzy ant colony optimization, and then uses this theory to design an optical speed for the football robots, and then we also apply ant colony optimization to design its routes to avoid obstacles. Afterward, we add generalized predictive control to predict the position which its target might appear at the next sampling time. Our main experiment...
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We propose an efficient learning algorithm based on the cutting plane method and decomposed dual optimization. We apply our model to the problem of recognizing human actions from video sequences, where we model a human action...
A feature captured approach was presented to automatically partition a triangle meshes into a coarsely quadrangular segmentation. The triangle meshes was firstly partitioned into a polygonal segmentation which was further split into triangular and quadrangular patches. After the convex and concave features were identified, the triangular patches were eliminated according to their topological relations...
Proxy cache which is an important device to guarantee the quality of Web service works with a poor efficiency when hot-spot appears. To solve this problem, load balancing method should be applied. In this paper, a load balancing model based on ant colony behavior is put forward. In the model, agent monitors the status of proxy server it has been installed on. Based on that status, if it judges that...
Constrained local models (CLMs) have recently demonstrated good performance in non-rigid object alignment/ tracking in comparison to leading holistic approaches (e.g., AAMs). A major problem hindering the development of CLMs further, for non-rigid object alignment/tracking, is how to jointly optimize the global warp update across all local search responses. Previous methods have either used general...
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