ISSN 0253-2778

CN 34-1054/N

2014 Vol. 44, No. 1

Display Method:
Original Paper
A fast DFA construction algorithm by subset encoding
PENG Kunyang
2014, 44(1): 1-11. doi: 10.3969/j.issn.0253-2778.2014.01.001
Abstract:
Regular expression matching is the foundation of many network functions such as deep packet inspection, which is performed using either non-deterministic finite automaton (NFA) or deterministic finite automation (DFA). To meet the requirement of high-speed regular expression matching, DFA has been t...
User behavior model based TVOS resource allocation
CHEN Lei, WANG Song, WU Gang
2014, 44(1): 12-18. doi: 10.3969/j.issn.0253-2778.2014.01.002
Abstract:
The resource allocation of the existing smart TV operating system (TVOS) depends on the operating system task resource allocation scheme, which tries to maximize the throughput of the system. However, this scheme cannot guarantee the quality of service (QoS) of applications in the real-time or multi...
A colored Petri net based scheduling scheme for multiprocessor system-on-chip
FENG Xiaojing, LI Xi, WANG Chao, CHEN Peng, ZHOU Xuehai
2014, 44(1): 19-33. doi: 10.3969/j.issn.0253-2778.2014.01.003
Abstract:
A novel colored Petri net (CPN) based dynamic scheduling scheme was proposed, which aimed at generating a hardware scheduler for multiprocessor system-on-chip (MPSoC) platforms. CPN was employed to model inter-task dependences in the proposed scheduling scheme, including RAW, WAW and WAR data depend...
Sensor data association using relative positions among targets and bias estimation between separate sensors
YU Zhaohua, LING Qiang, SHI Mengzhao
2014, 44(1): 34-42. doi: 10.3969/j.issn.0253-2778.2014.01.004
Abstract:
Sensor data association is an important problem in modern multi-sensor systems. The purpose to solve this problem is to decide which measurements from the different sensors belong to the same target. The traditional methods for data association usually form the association matrix and find the optima...
The relationship of structural and functional brain networks via hierarchical synchronization
LIU Yingying, ZHUO Zhao, CAI Shimin, FU Zhongqian, ZHOU Peiling
2014, 44(1): 43-47. doi: 10.3969/j.issn.0253-2778.2014.01.005
Abstract:
Benefiting from the structural segmentation and functional conformity, the cerebra can reach an ‘economical work mode including both local clustering and global cooperation, which makes the relation of structural and functional network play an important role in the comprehension of cognitive brain ...
Subspace interference alignment on Grassmann manifold for cellular networks
ZHANG Chen, YIN Huarui, LI Xu, WEi Guo
2014, 44(1): 48-60. doi: 10.3969/j.issn.0253-2778.2014.01.006
Abstract:
The subspace interference alignment for multi-cell and multi-user cellular networks was focused. Different from most previous algorithms that are based on a joint design of precoder and receive filter, the proposed method achieves interference alignment with precoder design only. This means our algo...
Design of an integrated lens for separating microwave and optical wave
CHE Rongrong, YI Zixuan, ZHU Qi
2014, 44(1): 61-66. doi: 10.3969/j.issn.0253-2778.2014.01.007
Abstract:
An integrated lens was designed, which is composed of an optical Fresnel lens (OFL) and a microwave helix array (MHA). The OFL focuses the incident light wave while the MHA focuses on the incident microwave. The MHA has little effect on blocking incident light while the OFL has effect on microwave t...
Image annotation by searching semantically related regions
DAI Lican, YU Nenghai
2014, 44(1): 67-73. doi: 10.3969/j.issn.0253-2778.2014.01.008
Abstract:
Based on abundant partially annotated images on the web, a novel framework for image annotation was proposed. By utilizing both the visual and textual knowledge of public available image database Image-Net, the proposed framework first learnt a set of weakly labeled visual concept classifiers, and t...
Study on the self-organized financial model based on scale-free networks
REN Xiaoye, ZHOU Peiling
2014, 44(1): 74-78. doi: 10.3969/j.issn.0253-2778.2014.01.009
Abstract:
For a series of grid-based Cont-Bouchaud (CB) models unable to correctly represent the heterogeneity of interactions among investors in the real financial market, an improved evolutionary model constrained by trading rules was proposed based on the percolation theory on scale-free networks. The time...
Effect of output noise in inverse-model-based iterative learning control
LIU Shaojie
2014, 44(1): 79-86. doi: 10.3969/j.issn.0253-2778.2014.01.010
Abstract:
Inverse-model-based iterative learning control (ILC) for linear-time invariant, single-input single output (SISO) systems subject to output noise is proposed with the intent of predicting expectation of the underlying “noise-free” mean square error (Euclidean norm) on each iteration. Frequency domai...