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Fenghuang, China

Longyan University is one of the full-time public undergraduate universities of Fujian Province authorized by the Ministry of Education of the People's Republic of China, which is located in Longyan City.The University occupies an area of 1058 mu, including Dongxiao campus and Fenghuang campus, with a total floor space of 230,000 square metres . Its library stores over 1,000,000 books and periodicals in Chinese and other languages, serving as the largest centre of information in west Fujian. Wikipedia.


Chen F.,Chongqing Three Gorges University | Wu S.,Longyan University
Scientific World Journal | Year: 2014

We establish some estimates of the right-hand side of Hermite-Hadamard type inequalities for functions whose derivatives absolute values are harmonically s-convex. Several Hermite-Hadamard type inequalities for products of two harmonically s-convex functions are also considered. © 2014 Feixiang Chen and Shanhe Wu. Source


Yuan Q.-L.,Longyan University | Zhou X.-T.,Sun Yat Sen University | Ji H.-B.,Sun Yat Sen University
Catalysis Communications | Year: 2010

Highly efficient oxidative coupling of amines to imines by tert-butyl hydroperoxide (t-BuOOH) in the presence of metalloporphyrins has been reported. Manganese porphyrin showed excellent activity and selectivity for the oxidative coupling of amines to imines under ambient conditions. Moreover, a plausible mechanism involving high valence oxo intermediate has been proposed. © 2010 Elsevier B.V. All rights reserved. Source


Zeng W.,South China University of Technology | Zeng W.,Longyan University | Wang C.,South China University of Technology
Neural Networks | Year: 2012

Recognition of temporal/dynamical patterns is among the most difficult pattern recognition tasks. Human gait recognition is a typical difficulty in the area of dynamical pattern recognition. It classifies and identifies individuals by their time-varying gait signature data. Recently, a new dynamical pattern recognition method based on deterministic learning theory was presented, in which a time-varying dynamical pattern can be effectively represented in a time-invariant manner and can be rapidly recognized. In this paper, we present a new model-based approach for human gait recognition via the aforementioned method, specifically for recognizing people by gait. The approach consists of two phases: a training (learning) phase and a test (recognition) phase. In the training phase, side silhouette lower limb joint angles and angular velocities are selected as gait features. A five-link biped model for human gait locomotion is employed to demonstrate that functions containing joint angle and angular velocity state vectors characterize the gait system dynamics. Due to the quasi-periodic and symmetrical characteristics of human gait, the gait system dynamics can be simplified to be described by functions of joint angles and angular velocities of one side of the human body, thus the feature dimension is effectively reduced. Locally-accurate identification of the gait system dynamics is achieved by using radial basis function (RBF) neural networks (NNs) through deterministic learning. The obtained knowledge of the approximated gait system dynamics is stored in constant RBF networks. A gait signature is then derived from the extracted gait system dynamics along the phase portrait of joint angles versus angular velocities. A bank of estimators is constructed using constant RBF networks to represent the training gait patterns. In the test phase, by comparing the set of estimators with the test gait pattern, a set of recognition errors are generated, and the average L1 norms of the errors are taken as the similarity measure between the dynamics of the training gait patterns and the dynamics of the test gait pattern. Therefore, the test gait pattern similar to one of the training gait patterns can be rapidly recognized according to the smallest error principle. Finally, experiments are carried out on the NLPR and UCSD gait databases to demonstrate the effectiveness of the proposed approach. © 2012 Elsevier Ltd. Source


Zhuang R.,Longyan University | Wang G.,CAS Fujian Institute of Research on the Structure of Matter
Optics Express | Year: 2016

This paper reports the dynamic characteristics of sequential energy transfer up-conversion processes in Yb3+/Er3+:SrMoO4 crystal. A general method based on the emission intensity has been developed to calculate the nonradiative decay rate. A new macroscopic theory has been developed to calculate the energy transfer parameters based on the crystal structure. According to both new calculating methods, the spectral parameters of Yb3+/Er3+:SrMoO4 crystal were calculated, such as upconversion luminescent quantum efficiencies and threshold pump powers. Both calculating methods may be applied to calculate the spectral parameters of the laser crystal materials. © 2016 Optical Society of America. Source


Zhou X.-T.,Sun Yat Sen University | Yuan Q.-L.,Longyan University | Ji H.-B.,Sun Yat Sen University
Tetrahedron Letters | Year: 2010

Highly efficient oxidation of oximes to carbonyl compounds by molecular oxygen with benzaldehyde as an oxygen acceptor in the presence of metalloporphyrins has been reported. The simple structural manganese porphyrin showed an excellent activity for the oxidative deoximation reactions of various oximes. Moreover, different factors influencing oximes oxidation, that is, catalyst, solvent, and temperature, have been investigated. A possible mechanism for the deoximation reaction has been proposed. © 2009 Elsevier Ltd. All rights reserved. Source

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