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Search Results: 1 - 10 of 28741 matches for " ZHU Xiaobo "
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Video-based vehicle tracking considering occlusion
Zhu Zhou, , Lu Xiaobo
- , 2015, DOI: 10.3969/j.issn.1003-7985.2015.02.019
Abstract: To track the vehicles under occlusion, a vehicle tracking algorithm based on blocks is proposed. The target vehicle is divided into several blocks of uniform size, in which the edge block can overlap its neighboring blocks. All the blocks’ motion vectors are estimated, and the noise motion vectors are detected and adjusted to decrease the error of motion vector estimation. Then, by moving the blocks based on the adjusted motion vectors, the vehicle is tracked. Aiming at the occlusion between vehicles, a Markov random field is established to describe the relationship between the blocks in the blocked regions. The neighborhood of blocks is defined using the Euclidean distance. An energy function is defined based on the blocks’ histograms and optimized by the simulated annealing algorithm to segment the occlusion region. Experimental results demonstrate that the proposed algorithm can track vehicles under occlusion accurately.
Design of Low Power CMOS Crystal Oscillator with Tuning Capacitors
Shun Yao,Hengfang Zhu,Xiaobo Wu
Engineering Letters , 2007,
Improvement of Filtering Algorithm for RFID Middleware Using KDB-tree Query Index
Xiaobo Zhang,Lianglun Cheng,Quanmin Zhu
Journal of Software , 2011, DOI: 10.4304/jsw.6.12.2521-2527
Abstract: RFID middleware collects and filters RFID streaming data gathered continuously by numerous readers to process requests from applications. These requests are called continuous queries. The problem when using any of the existing query indexes on these continuous queries is that it takes a long time to build the index because it is necessary to insert a large number of segments into the index. KDB-tree is an index which can dispose multidimensional data. It is also a dynamic balance tree that has a good query performance and high spatial usage. This paper propose an aggregate transformation algorithm for querydata filtering, and applies KDB-tree into RFID event filtering to improve the performance of query. Comparing to other indexes, the result of simulation shows that KDB-tree index outperforms others in synthesized consideration of storage cost, insertion time cost and query time cost. In particular the query time cost of KDB-tree is distinctly lower than others because it provides single path traverse in the query process.
Primary study of a novel Tc-tricarbonyl cocaine analogue as the potential DAT imaging agent
Xiaobo Zhang,Lin Zhu,Shaoke Ding,Boli Liu
Chinese Science Bulletin , 2005, DOI: 10.1007/BF03183675
Abstract: The convenient preparation of organometallic precursor fac-[99mTc(CO)3 (H2O)3]+ opens a new route to design new radiopharmaceuticals. Based on this precursor, a new cocaine analogue, Tropyn, is designed and synthesized, and “2+1” mixed-ligands approach is used to prepare a neutral complex [99mTc(CO)3(Tropyn)I]. Biodistribution in mice and rats proves that it has sufficient brain uptake. Rat regional brain biodistribution indicates that the complex is highly concentrated in the striatum (ST) with rapid clearance in the cortex (CT) and hippocampus (HP), which make it valuable for further investigation as the potential Second-Generation DAT imaging agent.
Overexpression of D-psicose 3-epimerase from Clostridium cellulolyticum H10 in Bacillus subtilis and its Prospect for D-psicose Production
Xiaobo Li,Yueming Zhu,Yan Zeng,Tongcun Zhang
Advance Journal of Food Science and Technology , 2013,
Abstract: The aim of this study was to overexpress the D-psicose 3-epimerase from Clostridium cellulolyticum H10 in food-grade microbe. This gene was cloned and expressed in Bacillus subtilis The results showed that the recombinant protein was soluble, bioactive, and expressed at high levels. The optimum pH and temperature of the enzyme were 8.0 and 50°C, respectively. The activity of the enzyme was not dependent on metal ions; however, some metal ions, such as Co, make the enzyme more thermostable. The Michaelis-Menten constant (Km) of the enzyme for D-psicose was much lower than that for D-tagatose, suggesting that the optimum substrate of the enzyme is D-psicose. D-Psicose 3-epimerase expressed in the food-grade B. subtilis may be used for the industrial production of D-psicose.
Coherent Operation of a Gap-tunable Flux Qubit
Xiaobo Zhu,Alexander Kemp,Shiro Saito,Kouichi Semba
Physics , 2010, DOI: 10.1063/1.3486472
Abstract: We replace the Josephson junction defining a three-junction flux qubit's properties with a tunable direct current superconducting quantum interference devices (DC-SQUID) in order to tune the qubit gap during the experiment. We observe different gaps as a function of the external magnetic pre-biasing field and the local magnetic field through the DC-SQUID controlled by high-bandwidth on chip control lines. The persistent current and gap behavior correspond to numerical simulation results. We set the sensitivity of the gap on the control lines during the sample design stage. With a tuning range of several GHz on a qubit dynamics timescale, we observe coherent system dynamics at the degeneracy point.
Ideal Quantum non-demolishing measurement of a flux qubit at variable bias
Ying-Dan Wang,Xiaobo Zhu,Christoph Bruder
Physics , 2010, DOI: 10.1103/PhysRevB.83.134504
Abstract: We propose a scheme to realize a quantum non-demolition (QND) measurement of a superconducting flux qubit by a Josephson bifurcation amplifier. Our scheme can implement a perfect QND measurement for a qubit subject to a variable magnetic bias. Measurement back-action induced qubit relaxation can be suppressed and hence the QND fidelity is expected to be high over a wide range of bias conditions.
Design and Experiment of Vertical Motion Dual-stage with Piezo-actuated Nanopositioning Stage
Ren Jiaqi, Zhu Xiaobo, Chen Guozhen, Liu Pinkuan
- , 2015, DOI: 10.16356/j.1005-1120.2015.02.199
Abstract: Nanopositioning stage based on piezoelectric (PZT) actuators and flexure mechanisms has been widely used in dual-stage. Its favorable positioning accuracy and dynamic response can guarantee the high performance of the dual-stage. Here the vertical axis motion dual-stage is designed with piezoelectric actuator for the fine-stage and ball-screw drive integrated with wedge sliding mechanisms for the coarse-stage. The aim of the dual-stage is to meet the stringent requirement of scanning over a relative large range with high accuracy. The design results of the piezo-actuated nanopositioning stage show good static and dynamic performance, validated by the simulation of finite element analysis (FEA). Hysteresis nonlinearity due to the use of piezoelectric stacks for actuation is studied and compensated by a proportional-integral (PI) feedback controller. To qualify the design of the motion ranges and resolutions, an experiment platform is established. The experimental results show that the proposed dual-stage has a full range of 12 mm with the resolution of 40 nm. Guideline is provided for the design methodology of the vertical motion dual-range stages.
Using the Support Vector Machine Algorithm to Predict β-Turn Types in Proteins  [PDF]
Xiaobo Shi, Xiuzhen Hu
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.510B078

The structure and function of proteins are closely related, and protein structure decides its function, therefore protein structure prediction is quite important.β-turns are important components of protein secondary structure. So development of an accurate prediction method ofβ-turn types is very necessary. In this paper, we used the composite vector with position conservation scoring function, increment of diversity and predictive secondary structure information as the input parameter of support vector machine algorithm for predicting theβ-turn types in the database of 426 protein chains, obtained the overall prediction accuracy of 95.6%, 97.8%, 97.0%, 98.9%, 99.2%, 91.8%, 99.4% and 83.9% with the Matthews Correlation Coefficient values of 0.74, 0.68, 0.20, 0.49, 0.23, 0.47, 0.49 and 0.53 for types I, II, VIII, I’, II’, IV, VI and nonturn respectively, which is better than other prediction.

Lack of Association between NADPH Quinone Oxidoreductase 1 (NQO1) Gene C609T Polymorphism and Lung Cancer: A Case-Control Study and a Meta-Analysis
Shujie Guo, Min Gao, Xiaobo Li, Yuqiong Li, Shaoli Chu, Dingliang Zhu, Wenquan Niu
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0047939
Abstract: Background The association between NAD(P)H:quinone oxidoreductase 1 (NQO1) gene C609T polymorphism (rs1800566) and lung cancer has been widely evaluated, and a definitive answer so far is lacking. We first conducted a case-control study to assess this association in northeastern Han Chinese, and then performed a meta-analysis to further address this issue. Methodology/Principal Findings This case-control study involved 684 patients clinically diagnosed as lung cancer and 602 age-matched cancer-free controls from Harbin city, Heilongjiang province, China. Genotyping was conducted using the PCR-LDR (ligase detection reactions) method. Meta-analysis was managed by STATA software. Data and study quality were assessed in duplicate. Our case-control association study indicated no significant difference in the genotype and allele distributions of C609T polymorphism between lung cancer patients and controls, consistent with the results of the further meta-analysis involving 7286 patients and 9167 controls under both allelic (odds ratio (OR) = 0.99; 95% confidence interval (CI): 0.92–1.06; P = 0.692) and dominant (OR = 0.98; 95% CI: 0.89–1.08; P = 0.637) models. However, there was moderate evidence of between-study heterogeneity and low probability of publication bias. Further subgroup analyses by ethnicity, source of controls and sample size detected no positive associations in this meta-analysis. Conclusions Our study in northeastern Han Chinese, along with the meta-analysis, failed to confirm the association of NQO1 gene C609T polymorphism with lung cancer risk, even across different ethnic populations.
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