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To come over the limitations of Apriori algorithm and association rule mining algorithm based on Genetic Algorithm (GA), this paper proposed a new association rule mining algorithm based on the population-based incremental algorithm (PBIL), which is a kind of distribution estimation algorithms. The proposed association rule-mining algorithm keeps the advantages of GA mining association rules in coding...
Fast filtering algorithms can highly improve the narrow-stage performance of continuous collision detection (CCD). The algorithm by Tang et al. [1] is a fast solution to this problem, which casts it into a geometric constrain. We show that, after slight modification, this earlier work is interestingly equivalent to the recent result by Zhang and Liu [2] that is directly derived from algebraic theorems...
Robots' continuous physical behaviors are controlled by discrete instructions generated using complicated control algorithms. In such a robotic hybrid system, guaranteeing robot's navigation safety can be more challenging than those discrete controls alone or only the continuous robot motions. For a robotic system operating in the real world, navigation safety is critical in order to avoid potential...
Interference alignment (IA) is a promising technique in wireless networks. However, existing works are mostly based on symmetric IA networks. To meet the requirements of practical applications, we consider asymmetric IA networks based on the various pathloss. In this paper, a spectrum-efficient topology management scheme is proposed for the asymmetric IA networks. In the scheme, for the user far away...
With network resource virtualization and the rise of user experience demand, it is needed to design a system architecture based on the cooperation of multiple virtual machines, which can detect customers' business needs prospectively and manage network resource legitimately. It is also needed to design a highly reliable virtual machine resource unified dispatch program, which detects customers' business...
We describe an improved algorithm for signal reconstruction based on the Orthogonal Matching Pursuit (OMP) algorithm. In contrast with the traditional implementation of OMP in compressive sensing (CS) we introduce a preprocessing step that converts the signal into a distribution that can be more easily reconstructed. This preprocessing introduces negligible additional complexity, but enables a significant...
Orthogonal frequency-division multiple access (OFDMA) has been integrated into emerging broadband wireless systems such as the IEEE 802.16 WirelessMAN. One critical problem in OFDMA is to assign multiple frequency bands (called subcarriers) to different users. Taking advantage of the frequency and multiuser diversities in OFDMA systems, dynamic subcarrier assignment mechanisms have been shown to achieve...
Local principle component regression (PCR) is a widely-used nonlinear calibration method in near infrared (NIR) spectral quantitative analysis. However, it is more sensitive to outliers than global PCR. An algorithm which combines robust PCR and local regression is proposed in this paper. Local training samples are selected according to Mahalanobis distances and the two stages of PCR, principle component...
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