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Brain-computer interfaces (BCIs) largely augment human capabilities by translating brain wave signals into feasible commands to operate external devices. However, many issues face the development of BCIs such as the low classification accuracy of brain signals and the tedious human-learning procedures. To solve these problems, we propose to use signals associated with eye saccades and blinks to control...
Nonline-of-sight (NLOS) error, which is the key factor of effect positioning accuracy, coupled with the presence of noise deviation of the environment itself, results in great location deviation. A joint algorithm of GA and iterative LS algorithm is proposed in this paper. The GA is used to get a relatively accurate initial value. And then the iterative LS algorithm is used to update the position...
Mobile videos contain rich information which could be utilized for various applications, like criminal investigation and scene reconstruction. Today's crowd-sourced mobile video retrieval systems are built on video content comparison, and their wide adoption has been hindered by onerous computation of CV algorithms and redundant networking traffic of the video transmission. In this work, we propose...
Clustering is an important analysis method commonly used in many areas, including data mining, image processing, statistics, biology, and machine learning. In this paper, we introduce a novel effective clustering method based on Euclidean Distance called Self-Increase Clustering (SIC) for detecting well-separated clusters that can be either convex or non convex sets. Unlike most of the prevalent clustering...
Large-scale social networks emerged rapidly in recent years. Social networks have become complex networks. The structure of social networks is an important research area and has attracted much scientific interest. Community is an important structure in social networks. In this paper, we propose a community detection algorithm based on seed nodes. First, we introduce how to find seed nodes based on...
An efficient service matching process is crucial for solving complex problems based on heterogeneous agents. Agent cooperation can be achieved through matching requesting agents with service-providing agents, and, through such cooperation, multi-agents can solve a variety of complex problems. Improving the efficiency of the agent-matching process has become an important issue in multi-agent research...
We propose a new algorithm about multi-scale-based super-resolution on face image. First, steerable pyramid is used to capture low-level local features in face images, and then these features are combined with pyramid-like parent structure and image patch synthetic approach based on neighborhood to predict the best prior. After that, the prior is integrated into Bayesian maximum a posteriori (MAP)...
This paper studies the robust beamforming design problem for a multiple-input single-output (MISO) secrecy channel with a single-antenna eavesdropper. Due to the illegal nature, the eavesdropper may try to hide itself from being caught; thus, it could be difficult for the secrecy transmitter (S-Tx) to obtain accurate channel state information (CSI) of the eavesdropping link between S-Tx and the eavesdropper...
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