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Locating the source of propagation is a ubiquitous but challenging problem in the field of complex networks. The traditional source location methods based on a set of observers can achieve a high locating accuracy. However, such high accuracy is based on the consistent assumption which means the propagation delays consistently follow a certain distribution in both the infected time calculation process...
The community structure as a vital property for complex networks contributes a lot for understanding and detecting inherent functions of real networks. However, existing algorithms which are ranging from the optimization-based to model-based strategies still need to be strengthened further in terms of their robustness and accuracy. In this paper, a kind of multi-headed slime molds, Physarum, is used...
Community structure is one of the basic characteristics of a complex network, which plays an important role in the function of a network. According to the premature convergence of traditional genetic algorithm on community detection, this paper proposes a new coding scheme based on the attribute partition of edges. The new strategy is named as NGACD. Each nonzero gene in the NGACD represents the attribute...
We propose a simple and straight-forward method for measuring the RF half-wave voltage of electrooptic phase modulators based on the gain compression of phase-modulated photonic link with interferometric demodulation. By using network analyzer, we measured the RF half-wave voltage of the phase modulator with two MZI differential delay times of 486 ps and 35 ps. The measurement results approximate...
In the field of content-based 3D model retrieval, classifying and organizing 3D model database is an important fundamental research, which is critical for improving the retrieval performance. Clustering is one of the most effective methods to classify 3D models. However, there has been little work on it. This paper proposes a dynamic clustering algorithm based on artificial immune system for classifying...
In this paper, we propose a real-time hand gesture recognition system using a thinning method utilizing a stereo camera. We implement a depth map in the hand detection portion that uses a sum of absolute differences method based on the acquired right-left image to detect the foreground object. We use a convex hull to detect the region of interests (ROI) and calculate the depth of object in ROI to...
It is a trend for paradigms of nature-inspired computing to hybrid. Inspired by the principle of immune response in the immune system, a novel incremental data clustering algorithm called IRA was proposed in previous work. It obtains high quality clustering. However, the number of clusters obtained by IRA is more than the actual ones. Therefore, the clustering algorithm based on ant colony called...
Although many kinds of clustering algorithms are proposed, there has been much less work on the incremental clustering. Inspired by the artificial immune systems, the authors apply it to the incremental clustering, propose a novel incremental clustering algorithm called ICAIS. The algorithm mainly uses the mechanism of immune response of the adaptive immune system. The primary immune response corresponds...
The generalized 3x+1 function T(z) can generate fractal images. So a complex mapping F(z) is constructed based on T(z), and visualized it using escape time algorithm. Because the images of T(z) and F(z) are intricate and rich with certain artistic value, several methods are proposed to generate pseudo-3D artistic fractal images. The methods are all based on escape time algorithm and color map, which...
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