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Search Results: 1 - 10 of 40938 matches for " NI Jun "
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The Analysis of the Participation of Private Capital in Rural Financial Institutions—Based on the research in Wenzhou, China  [PDF]
Jun Zhuo, Yingrui Huang, Riqun Ni
Journal of Financial Risk Management (JFRM) , 2012, DOI: 10.4236/jfrm.2012.12004
Abstract: As one of the world’s largest country, agriculture plays a significant role in China and financial support is of great important in modern agriculture. This paper is mainly based on the survey about the funds demand and funds supply of rural financing, focusing on the existing problems and obstacles of the current financing, the will, the tendency, the way and the path selection of private capital owners in Wenzhou to invest rural financial institution, as well as investment risk evaluation and management may meet measures.
Long-Period InAs/GaSb Type-II Superlattices for Terahertz Application  [PDF]
Longlong Li, Jun Ni, Wen Xu
Journal of Modern Physics (JMP) , 2014, DOI: 10.4236/jmp.2014.517182
Abstract: We present a theoretical study on the terahertz (THz) optoelectronic properties of long-period InAs/GaSb type-II super lattices (SLs). The eight-band k·p model is used to calculate the electronic structures of such SLs and on the basis of band structures, the Boltzmann equation approach is employed to calculate the optical absorption coefficients for the corresponding SL systems. It is found that long-period InAs/GaSb type-II SLs have a considerable absorption in the THz bandwidth. By examining the dependence of THz absorption coefficient on the InAs/GaSb layer widths, we demonstrate that with a proper choice of InAs/GaSb layer widths, an optimized THz absorption can be achieved. This study is pertinent to the potential application of InAs/GaSb type-II SLs as THz photo detectors.
Genetic Algorithm for Job Scheduling with Maintenance Consideration in Semiconductor Manufacturing Process
Seungchul Lee,Jun Ni
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/875641
Abstract: This paper presents wafer sequencing problems considering perceived chamber conditions and maintenance activities in a single cluster tool through the simulation-based optimization method. We develop optimization methods which would lead to the best wafer release policy in the chamber tool to maximize the overall yield of the wafers in semiconductor manufacturing system. Since chamber degradation will jeopardize wafer yields, chamber maintenance is taken into account for the wafer sequence decision-making process. Furthermore, genetic algorithm is modified for solving the scheduling problems in this paper. As results, it has been shown that job scheduling has to be managed based on the chamber degradation condition and maintenance activities to maximize overall wafer yield.
Unification of General Relativity with Quantum Field Theory

NI Jun,

中国物理快报 , 2011,
Abstract:
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields
Ni Lao,Jun Zhu
Computer Science , 2014,
Abstract: Structure learning of Conditional Random Fields (CRFs) can be cast into an L1-regularized optimization problem. To avoid optimizing over a fully linked model, gain-based or gradient-based feature selection methods start from an empty model and incrementally add top ranked features to it. However, for high-dimensional problems like statistical relational learning, training time of these incremental methods can be dominated by the cost of evaluating the gain or gradient of a large collection of candidate features. In this study we propose a fast feature evaluation algorithm called Contrastive Feature Induction (CFI), which only evaluates a subset of features that involve both variables with high signals (deviation from mean) and variables with high errors (residue). We prove that the gradient of candidate features can be represented solely as a function of signals and errors, and that CFI is an efficient approximation of gradient-based evaluation methods. Experiments on synthetic and real data sets show competitive learning speed and accuracy of CFI on pairwise CRFs, compared to state-of-the-art structure learning methods such as full optimization over all features, and Grafting.
Effect of Relaxation Time on Electron Transport Properties in Double-Barrier Structures
Dai Zhenhong,Ni Jun,
Dai Zhenhong
,Ni Jun

半导体学报 , 2006,
Abstract: Using a time-dependent quantum-kinetic simulation for the non-equilibrium electron transport properties of double-barrier devices,we have investigated and analyzed the effects of the relaxation time on electron transport properties in this kind of low dimensional structure.The results show that the relaxation time,which comes from the electron-phonon and electron-defect interactions,greatly affects the current-voltage curves,including the plateau-like gradient and hysteresis width of the current.
Layered-resolved autofluorescence imaging of photo-receptors using two-photon excitation  [PDF]
Ling-Ling Zhao, Jun-Le Qu, Dan-Ni Chen, Han-Ben Niu
Journal of Biomedical Science and Engineering (JBiSE) , 2009, DOI: 10.4236/jbise.2009.25052
Abstract: In this paper, we present our investigation on the morphological and autofluorescence char-acteristics of the cones and rods using two- photon excitation with a femtosecond Ti: sap-phire laser. The results show that the micro-structures of the photoreceptor layers can be visualized at submicron level without any stain- ing or slicing. The morphology and spatial dis-tribution of the cones and rods can be resolved by autofluorescence imaging. The autofluores-cence in the photoreceptor outer segments is much stronger than other layers, but suscepti-ble to light-induced damage.
Imaging mechanical shear waves induced by piezoelectric ceramics in magnetic resonance elastography
Jun Chen,Cheng Ni,Tiange Zhuang
Chinese Science Bulletin , 2006, DOI: 10.1007/s11434-006-0755-7
Abstract: Magnetic Resonance Elastography (MRE) is a noninvasive technique to measure elasticity of tissues in vivo. In this paper, a mechanical shear wave MR imaging system experiment is set for MRE. A novel actuator is proposed to generate mechanical shear waves propagating inside a gel phantom. The actuator is made of piezoelectric ceramics, and fixed on a plexiglass bracket. Both of the gel phantom and the actuator are put into a head coil inside the MR scanner’s bore. The actuator works synchronously with an MR imaging sequence running on the MR scanner. The sequence is modified from a FLASH sequence into a motion-sensitizing phasecontrast sequence for shear wave MR imaging. Shear wave images are presented, and these effects on the shear wave MR imaging system, including the stiffness of phantoms, the frequency of the actuator, the parameters of the motion-sensitizing gradient, and the oscillation of the patient bed, are discussed.
FERRIMAGNETIC PHASES OF THE BLUME-EMERY-GRIFFITHS MODEL AND THE POTTS MODEL ON THE DIAMOND LATTICE

Ni Jun,Gu Bing-lin,

中国物理 B , 2000,
Abstract: The phase transitions in the Blume-Emery-Griffiths (BEG) model and antiferromagnetic Potts model on the diamond lattice are investigated using the cluster-variation method in the pair approximation. The ferrimagnetic phases are found to be different from those on the simple-cubic lattice. The phase diagrams of the BEG model are also calculated. In the vicinity of the parameter line where the BEG model reduces to the three-state antiferromagnetic Potts model, new types of phase diagram are obtained. The results are different from those of the mean-field theory, which is a good approximation only for large coordination number of the lattice.
Lamb shift calculated by simple noncovariant method
Guang-jiong Ni,Jun Yan
Physics , 1999,
Abstract: The Lamb Shift (LS) of Hydrogenlike atom is evaluated by a simple method of quantum electrodynamics in noncovariant form, based on the relativistic stationary Schr\"odinger equation. An induced term proportional to $\overrightarrow{p}^4$ in the effective Hamiltonian is emphasized. Perturbative calculation of second order leads to the LS of $ 1S_{1/2}$ state and that of $2S_{1/2}-2P_{1/2}$ states in H atom with the high accuracy within 0.1%
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