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Domain Adaptation Image Classification Based on Multi-sparse Representation
( Xu Zhang ),( Xiaofeng Wang ),( Yue Du ),( Xiaoyan Qin ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.5
Generally, research of classical image classification algorithms assume that training data and testing data are derived from the same domain with the same distribution. Unfortunately, in practical applications, this assumption is rarely met. Aiming at the problem, a domain adaption image classification approach based on multi-sparse representation is proposed in this paper. The existences of intermediate domains are hypothesized between the source and target domains. And each intermediate subspace is modeled through online dictionary learning with target data updating. On the one hand, the reconstruction error of the target data is guaranteed, on the other, the transition from the source domain to the target domain is as smooth as possible. An augmented feature representation produced by invariant sparse codes across the source, intermediate and target domain dictionaries is employed for across domain recognition. Experimental results verify the effectiveness of the proposed algorithm.
SPATIAL-BASED PREDICTIVE CONTROL FOR VEHICLE COLLISION AVOIDANCE BY STEERING MANEUVERS
Shaosong Li,Yunsheng Tian,Xiaofeng Yue,Niaona Zhang,Shujun Wang 한국자동차공학회 2022 International journal of automotive technology Vol.23 No.1
A hierarchical vehicle collision avoidance control method based on model predictive control is presented in this study. In the upper level of the controller, a spatial-based two-degree-of-freedom vehicle model is used for dynamic path planning to decrease the computational burden of the algorithm. Obstacles and road boundaries are translated into spatialbased constraints on system states. An objective function that considers tire adhesion margin is introduced to the path tracking controller to enhance vehicle safety. Meanwhile, the dynamic constraints of vehicle lateral acceleration, sideslip, and tire slip angles are designed in accordance with the tire-road adhesion coefficient. A time-based nonlinear model predictive controller is also designed and compared with the proposed method to verify the effectiveness and superiority of the latter. Theoretical analyses and simulation results indicate that the proposed collision avoidance control system has good ollision avoidance effect.
Genmeng Yang,Juan Li,Yanxia Peng,Baoyu Shen,Yuanyuan Li,Liu Liu,Chan Wang,Yue Xu,Shucheng Lin,Shuwei Zhang,Yi Tan,Huijie Zhang,Xiaofeng Zeng,Qi Li,Gang Lu 고려인삼학회 2022 Journal of Ginseng Research Vol.46 No.3
This study investigates the effects of ginsenoside Rb1 (GsRb1) on methamphetamine (METH)-induced toxicity in SH-SY5Y neuroblastoma cells and METH-induced conditioned place preference (CPP)in adult Sprague-Dawley rats. It also examines whether GsRb1 can regulate these effects through theNR2B/ERK/CREB/BDNF signaling pathways. Methods: SH-SY5Y cells were pretreated with GsRb1 (20 mM and 40 mM) for 1 h, followed by METHtreatment (2 mM) for 24 h. Rats were treated with METH (2 mg/kg) or saline on alternating days for 10days to allow CPP to be examined. GsRb1 (5, 10, and 20 mg/kg) was injected intraperitoneally 1 h beforeMETH or saline. Western blot was used to examine the protein expression of NR2B, ERK, P-ERK, CREB, PCREB, and BDNF in the SH-SY5Y cells and the rats' hippocampus, nucleus accumbens (NAc), and prefrontal cortex (PFC). Results: METH dose-dependently reduced the viability of SH-SY5Y cells. Pretreatment of cells with 40mM of GsRb1 increased cell viability and reduced the expression of METH-induced NR2B, p-ERK, p-CREBand BDNF. GsRb1 also attenuated the expression of METH CPP in a dose-dependent manner in rats. Further, GsRb1 dose-dependently reduced the expression of METH-induced NR2B, p-ERK, p-CREB, andBDNF in the PFC, hippocampus, and NAc of rats. Conclusion: GsRb1 regulated METH-induced neurotoxicity in vitro and METH-induced CPP through theNR2B/ERK/CREB/BDNF regulatory pathway. GsRb1 could be a therapeutic target for treating METHinduced neurotoxicity or METH addiction.