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A 10 Gb/s Equalizer in 0.18m CMOS Technology for High-speed SerDes
Mingke Zhang,Qingsheng Hu 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.11
A 10 Gb/s equalizer consisting of analog equalizer and two-tap half-rate decision feedback equalizer (DFE) in 0.18m CMOS has been designer. By employing capacitive degeneration and inductive peaking techniques, the analog equalizer achieves large boosting. The pipelined half-rate architecture is used to improve the transmitted data rate in DFE with a small increase in area. Measurement results show that the distorted signal is well recovered by this equalizer and consumes 27 mW with the supply voltage of 1.8-V. The overall chip area including pads is 0.60.7 mm2.
ESTIMATION OF BATTERY STATE-OF-CHARGE USING ν -SUPPORT VECTOR REGRESSION ALGORITHM
Qingsheng Shi,Chenghui Zhang,Naxin Cui 한국자동차공학회 2008 International journal of automotive technology Vol.9 No.6
Accurately estimating the SOC of a battery during the electric vehicle drive cycle is a vital issue that currently remains unresolved. A support vector regression algorithm (SVR), which has good nonlinear approximation ability, a quick convergence rate and global optimal solution, is proposed to estimate the battery SOC. First, the training data and the test data required in the estimation operation are collected using the ADVISOR software, followed by normalization of the data above. Then, cross validation and grid search methodologies are used to determine the parameters in the v-SVR model. Finally, simulation experiments have been carried out in the LIBSVM simulator. The simulation results show that, compared to the BP neural network algorithm, the v-Support Vector Regression algorithm performs better in estimating the battery SOC.
Manifold-ranking Based Image Retrieval Using Natural Neighbor
Qingsheng Zhu,Zhi Chen,Cheng Zhang 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.8
The manifold-ranking based method is widely used in semi-supervised learning, and its performance is closely related to the structure of the constructed graph. In this paper, we propose a novel graph structure named natural neighbor graph and an algorithm to construct it. We apply the new graph structure into the framework of manifold-ranking based image retrieval. The greatest superiority over k-NN based method is that the free parameter k need not to be explicitly specified any more. We have shown that the manifold ranking algorithm based on our proposed graph structure performs better than k-NN graph. Experiments demonstrate that the proposed algorithm outperforms the state-of-the-art algorithms.
Haiyan Wang,Fenglan Zhang,Jin Cao,Qingsheng Zhang,Zhirong Chen 한국식품과학회 2013 Food Science and Biotechnology Vol.22 No.2
Proteolysis of grass carp sarcoplasmic, myofibrillar,and stromal proteins by 5 commercial proteases were studied. Sarcoplasmic and myofibrillar protein could be well hydrolyzed by Alcalase 2.4 L to reach high protein recoveries (PR) (71.86±2.46 and 80.77±3.05%, respectively),while the maximum PR for stromal protein was only 42.83±2.84%. However, stromal hydrolysates, containing mostly 6-10 kDa fraction, exhibited higher ·OH scavenging activities due to its high content of antioxidant-assisting amino acids. Alcalase 2.4 L and pancreatin 6.0, which produced hydrolysates with relative high degree of hydrolysis (DH), were used for further hydrolysis of whole grass carp protein with the assistance of response surface methodology (RSM). The results showed that serine proteases (Alcalase 2.4 L and pancreatin 6.0) could produce sarcoplasmic, myofibrillar, or stromal hydrolysates with relatively high PR, DH, and strong ·OH scavenging activity, which may be used to prepare antioxidant hydrolysates from grass carp.