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Search Results: 1 - 10 of 147126 matches for " Li Hai-Qing "
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The entanglement of Heisenberg chain with next-nearest-neighbor interaction
Shi-Jian Gu,Haibin Li,You-Quan Li,Hai-Qing Lin
Physics , 2004, DOI: 10.1103/PhysRevA.70.052302
Abstract: The features of the concurrences of the nearest-neighbor and the next-nearest-neighbor sites for one-dimensional Heisenberg model with the next-nearest-neighbor interaction are studied both at the ground state and finite temperatures respectively. Both concurrences are found to exhibit different behaviors at the ground state, which is clarified from the point of view of the correlation function. The threshold temperature with respective to different number of sites and the thermal concurrences of the system up to 12 sites are studied numerically.
Magnetic Field Effect on the Phase Transition in AdS Soliton Spacetime
Rong-Gen Cai,Li Li,Hai-Qing Zhang,Yun-Long Zhang
Physics , 2011, DOI: 10.1103/PhysRevD.84.126008
Abstract: We investigate the scalar perturbations in an AdS soliton background coupled to a Maxwell field via marginally stable modes. In the probe limit, we study the magnetic field effect on the holographic insulator/superconductor phase transition numerically and analytically. The condensate will be localized in a finite circular region for any finite constant magnetic field. Near the critical point, we find that there exists a simple relation among the critical chemical potential, magnetic field, the charge and mass of the scalar field. This relation indicates that the presence of the magnetic field causes the phase transition hard.
Electronic Bloch oscillation in bilayer graphene gradient superlattices
Hemeng Cheng,Changan Li,Tianxing Ma,Li-Gang Wang,Yun Song,Hai-Qing Lin
Physics , 2014, DOI: 10.1063/1.4893598
Abstract: We investigate the electronic Bloch oscillation in bilayer graphene gradient superlattices using transfer matrix method. By introducing two kinds of gradient potentials of square barriers along electrons propagation direction, we find that Bloch oscillations up to terahertz can occur. Wannier-Stark ladders, as the counterpart of Bloch oscillation, are obtained as a series of equidistant transmission peaks, and the localization of the electronic wave function is also signature of Bloch oscillation. Forthermore, the period of Bloch oscillation decreases linearly with increasing gradient of barrier potentials.
Characteristics of gas release during combustion of main arbor and shrub species in Xiaoxing''an Mountain
小兴安岭主要乔、灌木燃烧过程的烟气释放特征

HU Hai-qing,LI Ao-bin,
胡海清
,李敖彬

应用生态学报 , 2008,
Abstract: The amounts of CO2, CO, CxHy, SO2 and NO released from the combustion of 10 arbor and 9 shrub species in Liangshui Forest Farm of Xiaoxing'an Mountain were determined, with the release amounts and emission factors of these gases calculated. The results showed that the released CO2, the total amount of carbon-containing gases, and the mean value of the total amount of the 5 gases during combustion were larger for arbors than for shrubs, being 1277.04 and 1149.06 mg x g(-1), 1476.27 and 1147.18 mg x g(-1), and 1486.21 and 1459.67 mg x g(-1), respectively, while an opposite pattern of the mean release of CO, NO and SO2 was observed, being 231.58 and 282.93 mg x g(-1), 3.61 and 5.03 mg x g(-1), and 6.32 and 7.46 mg x g(-1) for the arbor and shrub species, respectively. The emission factors of CO2 and CO were also larger for arbors than for shrubs, being 2.8853 and 2.7718, and 0.4558 and 0.2425, respectively.
Object Tracking with Monte Carlo Methods
基于蒙特卡罗方法的目标跟踪

ZHANG Hai-qing,LI Hou-qiang,
张海青
,李厚强

中国图象图形学报 , 2008,
Abstract: For tracking object more robustly and rapidly, a novel approach for object tracking using Monte Carlo method is presented, which is motivated by the method of tracking with particle filter. In this approach, the locations and scales of the candidates in the next frame are sampled through Monte Carlo technique. Then the similitude degree between the samples and the reference objects are calculated. At last, the object states are estimated and the object under tracking is attained. This method does not need the motion information of the object, so it is especially good at tracking flexible object. The method is easier to implement than other present methods. Furthermore, it is proved to be quite robust and versatile by the numerical experiments.
Object Tracking Through Multiple Cues
基于多线索的目标跟踪

ZHANG Hai-qing,LI Hou-qiang,
张海青
,李厚强

中国图象图形学报 , 2008,
Abstract: In this paper a novel approach for object tracking using multiple cues is presented,based on the investigation of human eye tracking.In this approach,multiple cues with serial structure are used in tracking.First,some candidate objects are found through near-neighbor principle.Then multiple cues with different priorities select the candidates in-order.At last,the only survive candidate is fined by the modified module to get more accurate tracking result.The most salient characteristic of this approach is the principles of self-organization and self-adaptation of the changing environment during tracking.Multiple cues compete and cooperate in the system,which make the tracking has strong adaptation and vitality.Experiments show the robustness and accuracy of the tracking algorithm.
Kernel learning one-step-ahead predictive control algorithm using Brent optimization
采用Brent优化的核学习单步预测控制算法

LIU Yi,WANG Hai-qing,LI Ping,
刘 毅
,王海清,李 平

控制理论与应用 , 2009,
Abstract: A novel kernel learning one-step-ahead predictive control (KLOPC) algorithm is presented for the general unknown single-input/single-output nonlinear systems. Firstly, a one-step-ahead predictive model is obtained by using the KL identification framework; secondly, a new one-step-ahead weighted predictive control performance index is formulated; thirdly, the control law is computed via Brent optimization method, which is efficient and reliable in one dimension search without knowing any derivative of the KL identification model. This simple KLOPC scheme has few parameters to be chosen, making it very suitable for real-time control. Simulation results of a nonlinear process show that the new KLOPC algorithm is superior to other methods based on KL model and the well tuned PID controller. The proposed KLOPC strategy also exhibits more satisfactory robustness and adaptation to both additive noise and unknown process disturbance.
Output feedback H-infinity control for linear discrete-time systems with closed-loop disk pole constraints
线性离散系统具有闭环极点约束的输出反馈H∞ 控制

YU Li,YANG Hai-qing,
俞 立
,杨海清

控制理论与应用 , 2003,
Abstract: The problem of output feedback H-infinity control with closed loop disk pole constraints was considered for linear discrete time systems. The existence condition and design procedure for the desired output feedback controllers were presented via the linear matrix inequality (LMI) approach. Compared with the existing results, the proposed one is of less conservatism.
Repeater-assisted Zeno effect in classical stochastic processes
Shi-Jian Gu,Li-Gang Wang,Zhi-Guo Wang,Hai-Qing Lin
Physics , 2009,
Abstract: As a classical state, for instance a digitized image, is transferred through a classical channel, it decays inevitably with the distance due to the surroundings' interferences. However, if there are enough number of repeaters, which can both check and recover the state's information continuously, the state's decay rate will be significantly suppressed, then a classical Zeno effect might occur. Such a physical process is purely classical and without any interferences of living beings, therefore, it manifests that the Zeno effect is no longer a patent of quantum mechanics, but does exist in classical stochastic processes.
Entanglement and quantum phase transition in the extended Hubbard model
Shi-Jian Gu,Shu-Sa Deng,You-Quan Li,Hai-Qing Lin
Physics , 2004, DOI: 10.1103/PhysRevLett.93.086402
Abstract: We study quantum entanglement in one-dimensional correlated fermionic system. Our results show, for the first time, that entanglement can be used to identify quantum phase transitions in fermionic systems.
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