Owing to high thermal stability and large reaction enthalpy,Mg H_(2) has high reaction temperatures and sluggish reaction kinetics in the dehydrogenation process,which consumes lots of energy.To achieve hydrogen relea...Owing to high thermal stability and large reaction enthalpy,Mg H_(2) has high reaction temperatures and sluggish reaction kinetics in the dehydrogenation process,which consumes lots of energy.To achieve hydrogen release with low energy consumption,accelerated reaction rate,and high heating uniformity,this paper proposes a novel method of graphite responsive microwave-assisted thermal management with NaTiO_(x)H catalyst.A multi-physics model of the 5 wt%NaTiO_(x)H catalyzed Mg H_(2) reactor integrated with a microwave generator is developed to investigate the reaction,heat and mass transfer process of hydrogen release.It is found that the graphite responsive microwave heating method could improve the temperature uniformity of reaction bed,reduce the energy consumption by at least 10.71%and save the hydrogen release time by 53.49% compared with the traditional electric heating method.Moreover,the hydrogen desorption thermodynamics could be improved with the increase of microwave power.The hydrogen release time is shortened by 19.55%with the increase of 20 W microwave power.Meanwhile,it is also concluded that the microwave excitation frequency of 2.1 GHz and the graphite content of 2 wt%have better heating performance.Therefore,it can be verified that the graphite responsive microwave heating helps to low-energy and accelerated hydrogen release from MgH_(2) hydrogen storage reactor.展开更多
In this paper, we introduce a novel method for facial landmark detection. We localize facial landmarks according to the MAP crite rion. Conventional gradient ascent algorithms get stuck at the local optimal solution. ...In this paper, we introduce a novel method for facial landmark detection. We localize facial landmarks according to the MAP crite rion. Conventional gradient ascent algorithms get stuck at the local optimal solution. Gibbs sampling is a kind of Markov Chain Monte Carlo （MCMC） algorithm. We choose it for optimization because it is easy to implement and it guarantees global conver gence. The posterior distribution is obtained by learning prior distribution and likelihood function. Prior distribution is assumed Gaussian. We use Principle Component Analysis （PCA） to reduce the dimensionality and learn the prior distribution. Local Linear Support Vector Machine （LLSVM） is used to get the likelihood function of every key point. In our experiment, we compare our de tector with some other wellknown methods. The results show that the proposed method is very simple and efficient. It can avoid trapping in local optimal solution.展开更多
基金supported by the National Key R&D Program of China(2023YFB3809103)the National Natural Science Foundation of China(No.52176203)+2 种基金the Key R&D Project of Shaanxi Province,China(No.2023KXJ-283)the Key R&D Project of Shaanxi Province,China(No.2024CY2-GJHX-19)the“Young Talent Support Plan”of Xi’an Jiaotong University(No.QB-A-JZB2015004)。
文摘Owing to high thermal stability and large reaction enthalpy,Mg H_(2) has high reaction temperatures and sluggish reaction kinetics in the dehydrogenation process,which consumes lots of energy.To achieve hydrogen release with low energy consumption,accelerated reaction rate,and high heating uniformity,this paper proposes a novel method of graphite responsive microwave-assisted thermal management with NaTiO_(x)H catalyst.A multi-physics model of the 5 wt%NaTiO_(x)H catalyzed Mg H_(2) reactor integrated with a microwave generator is developed to investigate the reaction,heat and mass transfer process of hydrogen release.It is found that the graphite responsive microwave heating method could improve the temperature uniformity of reaction bed,reduce the energy consumption by at least 10.71%and save the hydrogen release time by 53.49% compared with the traditional electric heating method.Moreover,the hydrogen desorption thermodynamics could be improved with the increase of microwave power.The hydrogen release time is shortened by 19.55%with the increase of 20 W microwave power.Meanwhile,it is also concluded that the microwave excitation frequency of 2.1 GHz and the graphite content of 2 wt%have better heating performance.Therefore,it can be verified that the graphite responsive microwave heating helps to low-energy and accelerated hydrogen release from MgH_(2) hydrogen storage reactor.
基金supported by ZTE Industry-Academia-Research Cooperation Funds
文摘In this paper, we introduce a novel method for facial landmark detection. We localize facial landmarks according to the MAP crite rion. Conventional gradient ascent algorithms get stuck at the local optimal solution. Gibbs sampling is a kind of Markov Chain Monte Carlo （MCMC） algorithm. We choose it for optimization because it is easy to implement and it guarantees global conver gence. The posterior distribution is obtained by learning prior distribution and likelihood function. Prior distribution is assumed Gaussian. We use Principle Component Analysis （PCA） to reduce the dimensionality and learn the prior distribution. Local Linear Support Vector Machine （LLSVM） is used to get the likelihood function of every key point. In our experiment, we compare our de tector with some other wellknown methods. The results show that the proposed method is very simple and efficient. It can avoid trapping in local optimal solution.
