Entity

Time filter

Source Type

Harbin, China

University of Heilongjiang is a national university in the city of Harbin, Heilongjiang Province, People's Republic of China.The university was established in March 1941, in the base of China's communist revolution, Yan'an. It dates back to the Russian Language Group, Number 3 school-level division, Chinese Military and Politics University of the Anti-Japanese invasion , an institute dedicated to the training of military translators. Wikipedia.


Sun S.-L.,Heilongjiang University
Zidonghua Xuebao/Acta Automatica Sinica | Year: 2012

This paper is concerned with optimal linear estimation problem for networked systems with random delays and packet dropouts. Two Bernoulli distributed random variables are employed to describe the phenomena of possible one-step random delay and multiple packet dropouts in data transmission by networks. Based on an innovative analysis approach, the optimal linear filter, predictor and smoother for the state are presented in a linear minimum variance sense. They are solved based on a Riccati equation and a Lyapunov equation. A sufficient condition for the existence of the steady-state estimators is given. A simulation example verifies their effectiveness. Copyright © 2012 Acta Automatica Sinica. All rights reserved. Source


Sun S.,Heilongjiang University
IEEE Transactions on Automatic Control | Year: 2013

A novel model is developed to describe possible random delays and losses of measurements transmitted from a sensor to a filter by a group of Bernoulli distributed random variables. Based on the new developed model, an optimal linear filter dependent on the probabilities is presented in the linear minimum variance sense by the innovation analysis approach when packets are not time-stamped. The solution to the optimal linear filter is given in terms of a Riccati difference equation and a Lyapunov difference equation. A sufficient condition for the existence of the steady-state filter is given. At last, the optimal filter is given by Kalman filter when packets are time-stamped. © 1963-2012 IEEE. Source


Sun S.,Heilongjiang University
International journal of nanomedicine | Year: 2011

Insulin was complexed with sodium deoxycholate to form an insulin-sodium deoxycholate complex (Ins-SD-Comp) using an hydrophobic ion pairing method in aqueous phase to enhance the liposolubility of insulin. In order to obtain the maximal complexation efficiency, the molar ratio of sodium deoxycholate to insulin was found. The zeta potential method was used to confirm the optimal ratio for formation of Ins-SD-Comp. The structural characteristics of Ins-SD-Comp were assessed using the Fourier transform infrared method. The apparent partition coefficient of insulin increased upon the formation of Ins-SD-Comp. Based on the preliminary study, Ins-SD-Comp was encapsulated into poly(lactide-co-glycolide) (PLGA) nanoparticles using an emulsion solvent diffusion method. The maximal encapsulation efficiency of Ins-SD-Comp into PLGA nanoparticles was 93.6% ± 2.81%, drug loading was about 4.8% ± 0.32%, and the mean diameter of the nanoparticles was 278 ± 13 nm. Biological activity and in vivo results revealed that the bioactivity of insulin was not destroyed during the preparation process. Ins-SD-Comp-loaded PLGA nanoparticles have the potential to reduce serum glucose levels and increase the oral bioavailability of insulin. Source


Sun S.,Heilongjiang University
International Journal of Innovative Computing, Information and Control | Year: 2012

This paper is concerned with the linear optimal full-order estimation problem for networked control systems with multiple packet dropouts of both sides from a sensor to an estimator and from a controller to an actuator. The phenomena of packet dropouts are described by two mutually uncorrelated random variables satisfying Bernoulli distributions. A full-order linear optimal state filter and an input filter in the least mean square sense are designed via completing square approach. They employ the received measurements at the present and last moments. The proposed filters are recursively computed in terms of the solutions of a Riccati equation, a Lyapunov equation and a simple difference equation. Further, the full-order linear optimal predictors and smoothers are also derived for the state and input, respectively. The stability of the proposed linear optimal filters is analyzed and the steady-state property is also investigated. The sufficient conditions for the stability of the linear optimal filters and the existence of the steady-state filters are given, respectively. Two simulation examples show the effectiveness of the proposed estimators. © 2012 ICIC International. Source


Li P.,Heilongjiang University
Journal of Mathematical Imaging and Vision | Year: 2013

Contour tracking in complex environments is a difficult problem due to the cluttered backgrounds, illumination changes, occlusion and camera viewpoint variations etc. This paper presents a region functional based on the Earth Mover's Distance (EMD), computation of which is mathematically modeled as the transportation problem (TP), for robust contour tracking in the challenging conditions. Formulation of EMD-based functional can be described as variational EMD (VEMD) since the contour curve function is involved for optimization. Minimizing the EMD-based functional is nontrivial and we develop a two-phase method for its optimization. In the first phase, letting the candidate contour be fixed, we seek the best solution to the TP by the Simplex algorithm. Then through the shape derivative theory, we make a perturbation analysis of the contour around the best solution to the TP. As a result we obtain a partial differential equation (PDE) that is solved by the level-set algorithm. The two-phase procedure iterates until the appropriate stopping criterions are satisfied. Alongside the EMD-based functional formulation, we introduce a dimensionality reduction method by tensor decomposition, achieving a low-dimensional Tensor-SIFT features for object representation. Applicable to both the color and gray-level images, Tensor-SIFT features are distinctive, insensitive to illumination and viewpoint changes. Finally, we develop an integrated algorithm that combines various techniques, e.g. the Simplex algorithm, narrow-band level set and fast marching algorithms. Particularly, we provide a method for the level-set initialization between two successive frames and the criterions for stopping the iterative functional optimization. Experiments in challenging image sequences show that the proposed work has promising performance. © 2012 Springer Science+Business Media, LLC. Source

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